RUN: /usr/share/launchpad-buildd/slavebin/slave-prep Forking launchpad-buildd slave process... Kernel version: Linux lgw01-amd64-007 4.4.0-97-generic #120-Ubuntu SMP Tue Sep 19 17:28:18 UTC 2017 x86_64 Buildd toolchain package versions: launchpad-buildd_154 python-lpbuildd_154 sbuild_0.67.0-2ubuntu7.1 bzr-builder_0.7.3+bzr174~ppa13~ubuntu14.10.1 bzr_2.7.0-2ubuntu3.1 git-build-recipe_0.3.4~git201611291343.dcee459~ubuntu16.04.1 git_1:2.7.4-0ubuntu1.3 dpkg-dev_1.18.4ubuntu1.2 python-debian_0.1.27ubuntu2. Syncing the system clock with the buildd NTP service... 3 Nov 01:21:19 ntpdate[1803]: adjust time server 10.211.37.1 offset 0.000127 sec RUN: /usr/share/launchpad-buildd/slavebin/in-target unpack-chroot --backend=chroot --series=bionic --arch=amd64 PACKAGEBUILD-13661057 /home/buildd/filecache-default/f027e517e95d0e91684230ee23be60d709f816c0 Creating target for build PACKAGEBUILD-13661057 RUN: /usr/share/launchpad-buildd/slavebin/in-target mount-chroot --backend=chroot --series=bionic --arch=amd64 PACKAGEBUILD-13661057 Starting target for build PACKAGEBUILD-13661057 RUN: /usr/share/launchpad-buildd/slavebin/in-target override-sources-list --backend=chroot --series=bionic --arch=amd64 PACKAGEBUILD-13661057 'deb http://ftpmaster.internal/ubuntu bionic main universe' 'deb http://ftpmaster.internal/ubuntu bionic-security main universe' 'deb http://ftpmaster.internal/ubuntu bionic-updates main universe' 'deb http://ftpmaster.internal/ubuntu bionic-proposed main universe' Overriding sources.list in build-PACKAGEBUILD-13661057 RUN: /usr/share/launchpad-buildd/slavebin/in-target update-debian-chroot --backend=chroot --series=bionic --arch=amd64 PACKAGEBUILD-13661057 Updating target for build PACKAGEBUILD-13661057 Get:1 http://ftpmaster.internal/ubuntu bionic InRelease [235 kB] Get:2 http://ftpmaster.internal/ubuntu bionic-security InRelease [65.4 kB] Get:3 http://ftpmaster.internal/ubuntu bionic-updates InRelease [65.4 kB] Get:4 http://ftpmaster.internal/ubuntu bionic-proposed InRelease [85.4 kB] Get:5 http://ftpmaster.internal/ubuntu bionic/main amd64 Packages [1064 kB] Get:6 http://ftpmaster.internal/ubuntu bionic/main Translation-en [541 kB] Get:7 http://ftpmaster.internal/ubuntu bionic/universe amd64 Packages [8121 kB] Get:8 http://ftpmaster.internal/ubuntu bionic/universe Translation-en [4796 kB] Get:9 http://ftpmaster.internal/ubuntu bionic-proposed/main amd64 Packages [120 kB] Get:10 http://ftpmaster.internal/ubuntu bionic-proposed/main Translation-en [70.9 kB] Get:11 http://ftpmaster.internal/ubuntu bionic-proposed/universe amd64 Packages [463 kB] Get:12 http://ftpmaster.internal/ubuntu bionic-proposed/universe Translation-en [424 kB] Fetched 16.1 MB in 5s (2954 kB/s) Reading package lists... Reading package lists... Building dependency tree... Reading state information... Calculating upgrade... The following packages were automatically installed and are no longer required: libasn1-8-heimdal libcurl3-gnutls libgssapi-krb5-2 libgssapi3-heimdal libhcrypto4-heimdal libheimbase1-heimdal libheimntlm0-heimdal libhx509-5-heimdal libidn2-0 libk5crypto3 libkeyutils1 libkrb5-26-heimdal libkrb5-3 libkrb5support0 libldap-2.4-2 libldap-common libpsl5 libroken18-heimdal librtmp1 libsasl2-2 libsasl2-modules-db libunistring0 libustr-1.0-1 libwind0-heimdal Use 'sudo apt autoremove' to remove them. The following packages will be REMOVED: apt-transport-https* The following packages will be upgraded: apt base-files base-passwd binutils binutils-common binutils-x86-64-linux-gnu build-essential coreutils cpp-7 debconf dpkg dpkg-dev e2fslibs e2fsprogs g++-7 gcc-7 gcc-7-base gnupg gnupg-agent gpgv libapparmor1 libapt-pkg5.0 libasan4 libatomic1 libbinutils libc-bin libc-dev-bin libc6 libc6-dev libcap-ng0 libcap2 libcc1-0 libcilkrts5 libcomerr2 libcurl3-gnutls libdpkg-perl libgcc-7-dev libgcc1 libgcrypt20 libgmp10 libgomp1 libgpg-error0 libgssapi-krb5-2 libhogweed4 libitm1 libk5crypto3 libkeyutils1 libkrb5-3 libkrb5support0 liblsan0 libmpx2 libnettle6 libp11-kit0 libpcre3 libperl5.26 libpng16-16 libpsl5 libquadmath0 libseccomp2 libselinux1 libsemanage-common libsemanage1 libsqlite3-0 libss2 libstdc++-7-dev libstdc++6 libsystemd0 libtsan0 libubsan0 libudev1 linux-libc-dev multiarch-support perl perl-base perl-modules-5.26 pinentry-curses systemd systemd-sysv sysvinit-utils tzdata 80 upgraded, 0 newly installed, 1 to remove and 0 not upgraded. Need to get 58.1 MB of archives. After this operation, 452 kB of additional disk space will be used. Get:1 http://ftpmaster.internal/ubuntu bionic/main amd64 base-files amd64 10ubuntu1 [55.9 kB] Get:2 http://ftpmaster.internal/ubuntu bionic/main amd64 coreutils amd64 8.26-3ubuntu4 [1213 kB] Get:3 http://ftpmaster.internal/ubuntu bionic/main amd64 dpkg amd64 1.19.0.4ubuntu1 [1145 kB] Get:4 http://ftpmaster.internal/ubuntu bionic/main amd64 libc6-dev amd64 2.26-0ubuntu2 [2524 kB] Get:5 http://ftpmaster.internal/ubuntu bionic/main amd64 libc-dev-bin amd64 2.26-0ubuntu2 [69.6 kB] Get:6 http://ftpmaster.internal/ubuntu bionic/main amd64 linux-libc-dev amd64 4.13.0-16.19 [954 kB] Get:7 http://ftpmaster.internal/ubuntu bionic/main amd64 libquadmath0 amd64 7.2.0-12ubuntu1 [132 kB] Get:8 http://ftpmaster.internal/ubuntu bionic/main amd64 libitm1 amd64 7.2.0-12ubuntu1 [27.6 kB] Get:9 http://ftpmaster.internal/ubuntu bionic/main amd64 gcc-7-base amd64 7.2.0-12ubuntu1 [18.3 kB] Get:10 http://ftpmaster.internal/ubuntu bionic/main amd64 libgcc1 amd64 1:7.2.0-12ubuntu1 [39.3 kB] Get:11 http://ftpmaster.internal/ubuntu bionic/main amd64 libmpx2 amd64 7.2.0-12ubuntu1 [11.7 kB] Get:12 http://ftpmaster.internal/ubuntu bionic/main amd64 libgomp1 amd64 7.2.0-12ubuntu1 [76.4 kB] Get:13 http://ftpmaster.internal/ubuntu bionic/main amd64 libatomic1 amd64 7.2.0-12ubuntu1 [8954 B] Get:14 http://ftpmaster.internal/ubuntu bionic/main amd64 libasan4 amd64 7.2.0-12ubuntu1 [360 kB] Get:15 http://ftpmaster.internal/ubuntu bionic/main amd64 liblsan0 amd64 7.2.0-12ubuntu1 [133 kB] Get:16 http://ftpmaster.internal/ubuntu bionic/main amd64 libtsan0 amd64 7.2.0-12ubuntu1 [282 kB] Get:17 http://ftpmaster.internal/ubuntu bionic/main amd64 libubsan0 amd64 7.2.0-12ubuntu1 [126 kB] Get:18 http://ftpmaster.internal/ubuntu bionic/main amd64 libcilkrts5 amd64 7.2.0-12ubuntu1 [42.5 kB] Get:19 http://ftpmaster.internal/ubuntu bionic/main amd64 cpp-7 amd64 7.2.0-12ubuntu1 [6728 kB] Get:20 http://ftpmaster.internal/ubuntu bionic/main amd64 libcc1-0 amd64 7.2.0-12ubuntu1 [38.7 kB] Get:21 http://ftpmaster.internal/ubuntu bionic/main amd64 g++-7 amd64 7.2.0-12ubuntu1 [7554 kB] Get:22 http://ftpmaster.internal/ubuntu bionic/main amd64 gcc-7 amd64 7.2.0-12ubuntu1 [7414 kB] Get:23 http://ftpmaster.internal/ubuntu bionic/main amd64 libgcc-7-dev amd64 7.2.0-12ubuntu1 [2377 kB] Get:24 http://ftpmaster.internal/ubuntu bionic/main amd64 libstdc++-7-dev amd64 7.2.0-12ubuntu1 [1457 kB] Get:25 http://ftpmaster.internal/ubuntu bionic/main amd64 libstdc++6 amd64 7.2.0-12ubuntu1 [405 kB] Get:26 http://ftpmaster.internal/ubuntu bionic-proposed/main amd64 libgmp10 amd64 2:6.1.2+dfsg-1.1 [241 kB] Get:27 http://ftpmaster.internal/ubuntu bionic/main amd64 libbinutils amd64 2.29.1-6ubuntu1 [502 kB] Get:28 http://ftpmaster.internal/ubuntu bionic/main amd64 binutils amd64 2.29.1-6ubuntu1 [3344 B] Get:29 http://ftpmaster.internal/ubuntu bionic/main amd64 binutils-common amd64 2.29.1-6ubuntu1 [190 kB] Get:30 http://ftpmaster.internal/ubuntu bionic/main amd64 binutils-x86-64-linux-gnu amd64 2.29.1-6ubuntu1 [1825 kB] Get:31 http://ftpmaster.internal/ubuntu bionic/main amd64 libc6 amd64 2.26-0ubuntu2 [2778 kB] Get:32 http://ftpmaster.internal/ubuntu bionic-proposed/main amd64 e2fslibs amd64 1.43.7-1 [157 kB] Get:33 http://ftpmaster.internal/ubuntu bionic-proposed/main amd64 e2fsprogs amd64 1.43.7-1 [498 kB] Get:34 http://ftpmaster.internal/ubuntu bionic-proposed/main amd64 perl-modules-5.26 all 5.26.1-2ubuntu1 [2760 kB] Get:35 http://ftpmaster.internal/ubuntu bionic-proposed/main amd64 libperl5.26 amd64 5.26.1-2ubuntu1 [3535 kB] Get:36 http://ftpmaster.internal/ubuntu bionic-proposed/main amd64 perl amd64 5.26.1-2ubuntu1 [201 kB] Get:37 http://ftpmaster.internal/ubuntu bionic-proposed/main amd64 perl-base amd64 5.26.1-2ubuntu1 [1389 kB] Get:38 http://ftpmaster.internal/ubuntu bionic/main amd64 base-passwd amd64 3.5.44 [47.2 kB] Get:39 http://ftpmaster.internal/ubuntu bionic/main amd64 libc-bin amd64 2.26-0ubuntu2 [593 kB] Get:40 http://ftpmaster.internal/ubuntu bionic-proposed/main amd64 sysvinit-utils amd64 2.88dsf-59.10ubuntu1 [18.6 kB] Get:41 http://ftpmaster.internal/ubuntu bionic-proposed/main amd64 libudev1 amd64 235-2ubuntu1 [54.5 kB] Get:42 http://ftpmaster.internal/ubuntu bionic-proposed/main amd64 libapt-pkg5.0 amd64 1.6~alpha3 [779 kB] Get:43 http://ftpmaster.internal/ubuntu bionic-proposed/main amd64 libgpg-error0 amd64 1.27-4 [36.8 kB] Get:44 http://ftpmaster.internal/ubuntu bionic/main amd64 libgcrypt20 amd64 1.7.9-1 [400 kB] Get:45 http://ftpmaster.internal/ubuntu bionic/main amd64 gpgv amd64 2.1.15-1ubuntu8 [186 kB] Get:46 http://ftpmaster.internal/ubuntu bionic/main amd64 libseccomp2 amd64 2.3.1-2.1ubuntu3 [37.3 kB] Get:47 http://ftpmaster.internal/ubuntu bionic-proposed/main amd64 apt amd64 1.6~alpha3 [1144 kB] Get:48 http://ftpmaster.internal/ubuntu bionic-proposed/main amd64 debconf all 1.5.64 [124 kB] Get:49 http://ftpmaster.internal/ubuntu bionic-proposed/main amd64 libapparmor1 amd64 2.11.0-2ubuntu18 [28.8 kB] Get:50 http://ftpmaster.internal/ubuntu bionic/main amd64 libcap2 amd64 1:2.25-1.1 [13.2 kB] Get:51 http://ftpmaster.internal/ubuntu bionic/main amd64 libpcre3 amd64 2:8.39-5ubuntu3 [229 kB] Get:52 http://ftpmaster.internal/ubuntu bionic-proposed/main amd64 libselinux1 amd64 2.7-2 [68.3 kB] Get:53 http://ftpmaster.internal/ubuntu bionic-proposed/main amd64 systemd amd64 235-2ubuntu1 [2832 kB] Get:54 http://ftpmaster.internal/ubuntu bionic-proposed/main amd64 libsystemd0 amd64 235-2ubuntu1 [196 kB] Get:55 http://ftpmaster.internal/ubuntu bionic-proposed/main amd64 systemd-sysv amd64 235-2ubuntu1 [12.7 kB] Get:56 http://ftpmaster.internal/ubuntu bionic-proposed/main amd64 libcap-ng0 amd64 0.7.7-3.1 [11.1 kB] Get:57 http://ftpmaster.internal/ubuntu bionic-proposed/main amd64 libcomerr2 amd64 1.43.7-1 [11.4 kB] Get:58 http://ftpmaster.internal/ubuntu bionic/main amd64 libsemanage-common all 2.7-2 [6916 B] Get:59 http://ftpmaster.internal/ubuntu bionic/main amd64 libsemanage1 amd64 2.7-2 [84.6 kB] Get:60 http://ftpmaster.internal/ubuntu bionic-proposed/main amd64 libss2 amd64 1.43.7-1 [11.1 kB] Get:61 http://ftpmaster.internal/ubuntu bionic/main amd64 libnettle6 amd64 3.3-2 [91.7 kB] Get:62 http://ftpmaster.internal/ubuntu bionic/main amd64 libhogweed4 amd64 3.3-2 [135 kB] Get:63 http://ftpmaster.internal/ubuntu bionic-proposed/main amd64 libp11-kit0 amd64 0.23.9-2 [187 kB] Get:64 http://ftpmaster.internal/ubuntu bionic-proposed/main amd64 pinentry-curses amd64 1.0.0-3 [34.7 kB] Get:65 http://ftpmaster.internal/ubuntu bionic/main amd64 gnupg amd64 2.1.15-1ubuntu8 [780 kB] Get:66 http://ftpmaster.internal/ubuntu bionic/main amd64 gnupg-agent amd64 2.1.15-1ubuntu8 [255 kB] Get:67 http://ftpmaster.internal/ubuntu bionic/main amd64 libsqlite3-0 amd64 3.20.1-2 [491 kB] Get:68 http://ftpmaster.internal/ubuntu bionic/main amd64 multiarch-support amd64 2.26-0ubuntu2 [6832 B] Get:69 http://ftpmaster.internal/ubuntu bionic/main amd64 tzdata all 2017c-1 [188 kB] Get:70 http://ftpmaster.internal/ubuntu bionic-proposed/main amd64 libgssapi-krb5-2 amd64 1.15.2-2 [121 kB] Get:71 http://ftpmaster.internal/ubuntu bionic-proposed/main amd64 libkrb5-3 amd64 1.15.2-2 [278 kB] Get:72 http://ftpmaster.internal/ubuntu bionic-proposed/main amd64 libkrb5support0 amd64 1.15.2-2 [31.5 kB] Get:73 http://ftpmaster.internal/ubuntu bionic-proposed/main amd64 libk5crypto3 amd64 1.15.2-2 [85.4 kB] Get:74 http://ftpmaster.internal/ubuntu bionic/main amd64 libkeyutils1 amd64 1.5.9-9.1ubuntu1 [9488 B] Get:75 http://ftpmaster.internal/ubuntu bionic/main amd64 libpng16-16 amd64 1.6.34-1 [176 kB] Get:76 http://ftpmaster.internal/ubuntu bionic/main amd64 dpkg-dev all 1.19.0.4ubuntu1 [607 kB] Get:77 http://ftpmaster.internal/ubuntu bionic/main amd64 libdpkg-perl all 1.19.0.4ubuntu1 [211 kB] Get:78 http://ftpmaster.internal/ubuntu bionic/main amd64 build-essential amd64 12.4ubuntu1 [4758 B] Get:79 http://ftpmaster.internal/ubuntu bionic-proposed/main amd64 libpsl5 amd64 0.18.0-4 [40.7 kB] Get:80 http://ftpmaster.internal/ubuntu bionic/main amd64 libcurl3-gnutls amd64 7.55.1-1ubuntu2.1 [193 kB] debconf: delaying package configuration, since apt-utils is not installed Fetched 58.1 MB in 2s (22.4 MB/s) (Reading database ... 12676 files and directories currently installed.) 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RUN: /usr/share/launchpad-buildd/slavebin/sbuild-package PACKAGEBUILD-13661057 amd64 bionic-proposed -c chroot:build-PACKAGEBUILD-13661057 --arch=amd64 --dist=bionic-proposed --nolog -A python-astropy_2.0.2-1.dsc Initiating build PACKAGEBUILD-13661057 with 4 jobs across 4 processor cores. Kernel reported to sbuild: 4.4.0-97-generic #120-Ubuntu SMP Tue Sep 19 17:28:18 UTC 2017 x86_64 sbuild (Debian sbuild) 0.67.0 (26 Dec 2015) on lgw01-amd64-007.buildd +==============================================================================+ | python-astropy 2.0.2-1 (amd64) 03 Nov 2017 01:22 | +==============================================================================+ Package: python-astropy Version: 2.0.2-1 Source Version: 2.0.2-1 Distribution: bionic-proposed Machine Architecture: amd64 Host Architecture: amd64 Build Architecture: amd64 I: NOTICE: Log filtering will replace 'build/python-astropy-9wswA2/python-astropy-2.0.2' with '<>' I: NOTICE: Log filtering will replace 'build/python-astropy-9wswA2' with '<>' I: NOTICE: Log filtering will replace 'home/buildd/build-PACKAGEBUILD-13661057/chroot-autobuild' with '<>' +------------------------------------------------------------------------------+ | Fetch source files | +------------------------------------------------------------------------------+ Local sources ------------- python-astropy_2.0.2-1.dsc exists in .; copying to chroot Check architectures ------------------- Check dependencies ------------------ Merged Build-Depends: build-essential, fakeroot Filtered Build-Depends: build-essential, fakeroot dpkg-deb: building package 'sbuild-build-depends-core-dummy' in '/<>/resolver-isPtxC/apt_archive/sbuild-build-depends-core-dummy.deb'. Ign:1 copy:/<>/resolver-isPtxC/apt_archive ./ InRelease Get:2 copy:/<>/resolver-isPtxC/apt_archive ./ Release [2119 B] Ign:3 copy:/<>/resolver-isPtxC/apt_archive ./ Release.gpg Get:4 copy:/<>/resolver-isPtxC/apt_archive ./ Sources [214 B] Get:5 copy:/<>/resolver-isPtxC/apt_archive ./ Packages [526 B] Fetched 2859 B in 0s (46.0 kB/s) Reading package lists... Reading package lists... +------------------------------------------------------------------------------+ | Install core build dependencies (apt-based resolver) | +------------------------------------------------------------------------------+ Installing build dependencies Reading package lists... Building dependency tree... Reading state information... The following packages were automatically installed and are no longer required: libasn1-8-heimdal libcurl3-gnutls libgssapi-krb5-2 libgssapi3-heimdal libhcrypto4-heimdal libheimbase1-heimdal libheimntlm0-heimdal libhx509-5-heimdal libidn2-0 libk5crypto3 libkeyutils1 libkrb5-26-heimdal libkrb5-3 libkrb5support0 libldap-2.4-2 libldap-common libpsl5 libroken18-heimdal librtmp1 libsasl2-2 libsasl2-modules-db libunistring0 libustr-1.0-1 libwind0-heimdal Use 'apt autoremove' to remove them. The following NEW packages will be installed: sbuild-build-depends-core-dummy 0 upgraded, 1 newly installed, 0 to remove and 0 not upgraded. Need to get 856 B of archives. After this operation, 0 B of additional disk space will be used. Get:1 copy:/<>/resolver-isPtxC/apt_archive ./ sbuild-build-depends-core-dummy 0.invalid.0 [856 B] debconf: delaying package configuration, since apt-utils is not installed Fetched 856 B in 0s (0 B/s) Selecting previously unselected package sbuild-build-depends-core-dummy. 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Merged Build-Depends: cython, cython3, debhelper (>= 9), dh-python, graphviz, libcfitsio-dev | libcfitsio3-dev, liberfa-dev (>= 1.1.0), libexpat1-dev, libjs-jquery, libjs-jquery-datatables, pkg-config, python-all-dev (>= 2.7~), python-astropy-helpers (>= 1.1~), python-configobj, python-h5py, python-jinja2, python-matplotlib, python-nose, python-numpy (>= 1.7), python-ply (>= 3.5), python-pytest (>= 3.1), python-pytest-mpl, python-scipy, python-setuptools (>= 0.6.4), python-six (>= 1.10.0), python-yaml, python3-all-dev, python3-astropy-helpers (>= 1.1~), python3-configobj, python3-h5py, python3-jinja2, python3-matplotlib, python3-nose, python3-numpy (>= 1:1.7), python3-ply (>= 3.5), python3-pytest (>= 3.1), python3-pytest-mpl, python3-scipy, python3-setuptools (>= 0.6.4), python3-six (>= 1.10.0), python3-sphinx (>= 1.3), python3-yaml, wcslib-dev (>= 5.8), zlib1g-dev Filtered Build-Depends: cython, cython3, debhelper (>= 9), dh-python, graphviz, libcfitsio-dev | libcfitsio3-dev, liberfa-dev (>= 1.1.0), libexpat1-dev, libjs-jquery, libjs-jquery-datatables, pkg-config, python-all-dev (>= 2.7~), python-astropy-helpers (>= 1.1~), python-configobj, python-h5py, python-jinja2, python-matplotlib, python-nose, python-numpy (>= 1.7), python-ply (>= 3.5), python-pytest (>= 3.1), python-pytest-mpl, python-scipy, python-setuptools (>= 0.6.4), python-six (>= 1.10.0), python-yaml, python3-all-dev, python3-astropy-helpers (>= 1.1~), python3-configobj, python3-h5py, python3-jinja2, python3-matplotlib, python3-nose, python3-numpy (>= 1:1.7), python3-ply (>= 3.5), python3-pytest (>= 3.1), python3-pytest-mpl, python3-scipy, python3-setuptools (>= 0.6.4), python3-six (>= 1.10.0), python3-sphinx (>= 1.3), python3-yaml, wcslib-dev (>= 5.8), zlib1g-dev dpkg-deb: building package 'sbuild-build-depends-python-astropy-dummy' in '/<>/resolver-HiCY86/apt_archive/sbuild-build-depends-python-astropy-dummy.deb'. Ign:1 copy:/<>/resolver-HiCY86/apt_archive ./ InRelease Get:2 copy:/<>/resolver-HiCY86/apt_archive ./ Release [2119 B] Ign:3 copy:/<>/resolver-HiCY86/apt_archive ./ Release.gpg Get:4 copy:/<>/resolver-HiCY86/apt_archive ./ Sources [483 B] Get:5 copy:/<>/resolver-HiCY86/apt_archive ./ Packages [812 B] Fetched 3414 B in 0s (63.9 kB/s) Reading package lists... Reading package lists... +------------------------------------------------------------------------------+ | Install python-astropy build dependencies (apt-based resolver) | +------------------------------------------------------------------------------+ Installing build dependencies Reading package lists... Building dependency tree... Reading state information... The following package was automatically installed and is no longer required: libustr-1.0-1 Use 'apt autoremove' to remove it. The following additional packages will be installed: adwaita-icon-theme autoconf automake autopoint autotools-dev bsdmainutils cython cython3 debhelper dh-autoreconf dh-python dh-strip-nondeterminism docutils-common file fontconfig fontconfig-config fonts-dejavu-core fonts-lyx gettext gettext-base graphviz groff-base gtk-update-icon-cache hicolor-icon-theme humanity-icon-theme intltool-debian libaec0 libarchive-zip-perl libatk1.0-0 libatk1.0-data libavahi-client3 libavahi-common-data libavahi-common3 libblas3 libbsd0 libcairo2 libcdt5 libcfitsio-dev libcfitsio5 libcgraph6 libcroco3 libcups2 libdatrie1 libdbus-1-3 liberfa-dev liberfa1 libexpat1 libexpat1-dev libfile-stripnondeterminism-perl libfontconfig1 libfreetype6 libgd3 libgdk-pixbuf2.0-0 libgdk-pixbuf2.0-common libgfortran4 libgiza0 libglib2.0-0 libgraphite2-3 libgtk2.0-0 libgtk2.0-common libgvc6 libgvpr2 libharfbuzz0b libhdf5-100 libice6 libicu59 libjbig0 libjpeg-turbo8 libjpeg8 libjs-jquery libjs-jquery-datatables libjs-jquery-ui libjs-sphinxdoc libjs-underscore liblapack3 libltdl7 libmagic-mgc libmagic1 libmpdec2 libpango-1.0-0 libpangocairo-1.0-0 libpangoft2-1.0-0 libpathplan4 libpgplot0 libpgsbox5 libpipeline1 libpixman-1-0 libpython-all-dev libpython-dev libpython-stdlib libpython2.7 libpython2.7-dev libpython2.7-minimal libpython2.7-stdlib libpython3-all-dev libpython3-dev libpython3-stdlib libpython3.6 libpython3.6-dev libpython3.6-minimal libpython3.6-stdlib librsvg2-2 librsvg2-common libsigsegv2 libsm6 libsz2 libthai-data libthai0 libtiff5 libtimedate-perl libtool libwcs5 libwebp6 libx11-6 libx11-data libxau6 libxaw7 libxcb-render0 libxcb-shm0 libxcb1 libxcomposite1 libxcursor1 libxdamage1 libxdmcp6 libxext6 libxfixes3 libxi6 libxinerama1 libxml2 libxmu6 libxpm4 libxrandr2 libxrender1 libxt6 libyaml-0-2 m4 man-db mime-support pkg-config po-debconf python python-all python-all-dev python-astropy-helpers python-babel-localedata python-configobj python-cycler python-dateutil python-decorator python-dev python-functools32 python-h5py python-jinja2 python-markupsafe python-matplotlib python-matplotlib-data python-minimal python-nose python-numpy python-pkg-resources python-ply python-py python-pyparsing python-pytest python-pytest-mpl python-scipy python-setuptools python-six python-subprocess32 python-tz python-yaml python2.7 python2.7-dev python2.7-minimal python3 python3-alabaster python3-all python3-all-dev python3-astropy-helpers python3-babel python3-certifi python3-chardet python3-configobj python3-cycler python3-dateutil python3-decorator python3-dev python3-docutils python3-h5py python3-idna python3-imagesize python3-jinja2 python3-markupsafe python3-matplotlib python3-minimal python3-nose python3-numpy python3-pkg-resources python3-ply python3-py python3-pygments python3-pyparsing python3-pytest python3-pytest-mpl python3-requests python3-roman python3-scipy python3-setuptools python3-six python3-sphinx python3-tz python3-urllib3 python3-yaml python3.6 python3.6-dev python3.6-minimal sgml-base shared-mime-info sphinx-common ttf-bitstream-vera ubuntu-mono ucf wcslib-dev x11-common xml-core zlib1g-dev Suggested packages: autoconf-archive gnu-standards autoconf-doc wamerican | wordlist whois vacation cython-doc dh-make dwz gettext-doc libasprintf-dev libgettextpo-dev gsfonts graphviz-doc groff cups-common libgd-tools gvfs libjs-jquery-ui-docs librsvg2-bin libtool-doc gfortran | fortran95-compiler gcj-jdk m4-doc less www-browser libmail-box-perl python-doc python-tk python-configobj-doc python-cycler-doc python-h5py-doc python-jinja2-doc dvipng ffmpeg gir1.2-gtk-3.0 ghostscript inkscape ipython python-cairocffi python-excelerator python-gobject python-gtk2 python-matplotlib-doc python-qt4 python-sip python-tornado python-traits python-wxgtk3.0 texlive-extra-utils texlive-latex-extra ttf-staypuft python-coverage python-nose-doc gfortran python-numpy-dbg python-numpy-doc python-ply-doc subversion python-pytest-xdist python-pyparsing-doc python-mock python-scipy-doc python-setuptools-doc python2.7-doc binfmt-support python3-doc python3-tk python3-venv docutils-doc fonts-linuxlibertine | ttf-linux-libertine texlive-lang-french texlive-latex-base texlive-latex-recommended ipython3 python3-cairocffi python3-gi python3-gi-cairo python3-gobject python3-pyqt4 python3-sip python3-tornado python3-numpy-dbg python3-cryptography python3-openssl python3-socks python3-sphinx-rtd-theme libjs-mathjax texlive-fonts-recommended texlive-generic-extra latexmk imagemagick-6.q16 sphinx-doc python3.6-venv python3.6-doc sgml-base-doc wcslib-doc Recommended packages: curl | wget | lynx-cur fonts-liberation libcfitsio-doc dbus libarchive-cpio-perl libgdk-pixbuf2.0-bin libglib2.0-data xdg-user-dirs libgail-common libgtk2.0-bin javascript-common libltdl-dev libmail-sendmail-perl python-glade2 python-imaging python-tk libpaper-utils python3-pil python3-tk giza-dev The following packages will be REMOVED: pkg-create-dbgsym* The following NEW packages will be installed: adwaita-icon-theme autoconf automake autopoint autotools-dev bsdmainutils cython cython3 debhelper dh-autoreconf dh-python dh-strip-nondeterminism docutils-common file fontconfig fontconfig-config fonts-dejavu-core fonts-lyx gettext gettext-base graphviz groff-base gtk-update-icon-cache hicolor-icon-theme humanity-icon-theme intltool-debian libaec0 libarchive-zip-perl libatk1.0-0 libatk1.0-data libavahi-client3 libavahi-common-data libavahi-common3 libblas3 libbsd0 libcairo2 libcdt5 libcfitsio-dev libcfitsio5 libcgraph6 libcroco3 libcups2 libdatrie1 libdbus-1-3 liberfa-dev liberfa1 libexpat1 libexpat1-dev libfile-stripnondeterminism-perl libfontconfig1 libfreetype6 libgd3 libgdk-pixbuf2.0-0 libgdk-pixbuf2.0-common libgfortran4 libgiza0 libglib2.0-0 libgraphite2-3 libgtk2.0-0 libgtk2.0-common libgvc6 libgvpr2 libharfbuzz0b libhdf5-100 libice6 libicu59 libjbig0 libjpeg-turbo8 libjpeg8 libjs-jquery libjs-jquery-datatables libjs-jquery-ui libjs-sphinxdoc libjs-underscore liblapack3 libltdl7 libmagic-mgc libmagic1 libmpdec2 libpango-1.0-0 libpangocairo-1.0-0 libpangoft2-1.0-0 libpathplan4 libpgplot0 libpgsbox5 libpipeline1 libpixman-1-0 libpython-all-dev libpython-dev libpython-stdlib libpython2.7 libpython2.7-dev libpython2.7-minimal libpython2.7-stdlib libpython3-all-dev libpython3-dev libpython3-stdlib libpython3.6 libpython3.6-dev libpython3.6-minimal libpython3.6-stdlib librsvg2-2 librsvg2-common libsigsegv2 libsm6 libsz2 libthai-data libthai0 libtiff5 libtimedate-perl libtool libwcs5 libwebp6 libx11-6 libx11-data libxau6 libxaw7 libxcb-render0 libxcb-shm0 libxcb1 libxcomposite1 libxcursor1 libxdamage1 libxdmcp6 libxext6 libxfixes3 libxi6 libxinerama1 libxml2 libxmu6 libxpm4 libxrandr2 libxrender1 libxt6 libyaml-0-2 m4 man-db mime-support pkg-config po-debconf python python-all python-all-dev python-astropy-helpers python-babel-localedata python-configobj python-cycler python-dateutil python-decorator python-dev python-functools32 python-h5py python-jinja2 python-markupsafe python-matplotlib python-matplotlib-data python-minimal python-nose python-numpy python-pkg-resources python-ply python-py python-pyparsing python-pytest python-pytest-mpl python-scipy python-setuptools python-six python-subprocess32 python-tz python-yaml python2.7 python2.7-dev python2.7-minimal python3 python3-alabaster python3-all python3-all-dev python3-astropy-helpers python3-babel python3-certifi python3-chardet python3-configobj python3-cycler python3-dateutil python3-decorator python3-dev python3-docutils python3-h5py python3-idna python3-imagesize python3-jinja2 python3-markupsafe python3-matplotlib python3-minimal python3-nose python3-numpy python3-pkg-resources python3-ply python3-py python3-pygments python3-pyparsing python3-pytest python3-pytest-mpl python3-requests python3-roman python3-scipy python3-setuptools python3-six python3-sphinx python3-tz python3-urllib3 python3-yaml python3.6 python3.6-dev python3.6-minimal sbuild-build-depends-python-astropy-dummy sgml-base shared-mime-info sphinx-common ttf-bitstream-vera ubuntu-mono ucf wcslib-dev x11-common xml-core zlib1g-dev 0 upgraded, 227 newly installed, 1 to remove and 0 not upgraded. Need to get 125 MB of archives. After this operation, 474 MB of additional disk space will be used. 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http://ftpmaster.internal/ubuntu bionic/main amd64 gtk-update-icon-cache amd64 3.22.25-0ubuntu1 [27.6 kB] Get:62 http://ftpmaster.internal/ubuntu bionic/main amd64 libpixman-1-0 amd64 0.34.0-1 [230 kB] Get:63 http://ftpmaster.internal/ubuntu bionic/main amd64 libxcb-render0 amd64 1.12-1ubuntu1 [14.8 kB] Get:64 http://ftpmaster.internal/ubuntu bionic/main amd64 libxcb-shm0 amd64 1.12-1ubuntu1 [5482 B] Get:65 http://ftpmaster.internal/ubuntu bionic/main amd64 libxrender1 amd64 1:0.9.10-1 [18.7 kB] Get:66 http://ftpmaster.internal/ubuntu bionic/main amd64 libcairo2 amd64 1.15.8-2 [573 kB] Get:67 http://ftpmaster.internal/ubuntu bionic/main amd64 libcroco3 amd64 0.6.12-1 [81.3 kB] Get:68 http://ftpmaster.internal/ubuntu bionic-proposed/main amd64 libthai-data all 0.1.27-1 [133 kB] Get:69 http://ftpmaster.internal/ubuntu bionic/main amd64 libdatrie1 amd64 0.2.10-5 [17.6 kB] Get:70 http://ftpmaster.internal/ubuntu bionic-proposed/main amd64 libthai0 amd64 0.1.27-1 [17.8 kB] Get:71 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python-dev amd64 2.7.14-2ubuntu1 [1176 B] Get:159 http://ftpmaster.internal/ubuntu bionic/main amd64 python-all-dev amd64 2.7.14-2ubuntu1 [1014 B] Get:160 http://ftpmaster.internal/ubuntu bionic/universe amd64 python-astropy-helpers all 2.0.1-1 [85.2 kB] Get:161 http://ftpmaster.internal/ubuntu bionic/main amd64 python-babel-localedata all 2.4.0+dfsg.1-2ubuntu1 [3412 kB] Get:162 http://ftpmaster.internal/ubuntu bionic-proposed/main amd64 python-six all 1.11.0-1 [11.1 kB] Get:163 http://ftpmaster.internal/ubuntu bionic/main amd64 python-configobj all 5.0.6-2 [34.2 kB] Get:164 http://ftpmaster.internal/ubuntu bionic/universe amd64 python-cycler all 0.10.0-1 [7520 B] Get:165 http://ftpmaster.internal/ubuntu bionic-proposed/main amd64 python-dateutil all 2.6.1-1 [60.6 kB] Get:166 http://ftpmaster.internal/ubuntu bionic-proposed/main amd64 python-decorator all 4.1.2-1 [9300 B] Get:167 http://ftpmaster.internal/ubuntu bionic/main amd64 python-functools32 all 3.2.3.2-3 [10.8 kB] Get:168 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bionic-proposed/universe amd64 python-scipy amd64 0.19.1-1ubuntu1 [9699 kB] Get:226 http://ftpmaster.internal/ubuntu bionic-proposed/universe amd64 python3-scipy amd64 0.19.1-1ubuntu1 [9630 kB] Get:227 http://ftpmaster.internal/ubuntu bionic/universe amd64 wcslib-dev amd64 5.16-1build1 [343 kB] debconf: delaying package configuration, since apt-utils is not installed Fetched 125 MB in 6s (18.5 MB/s) (Reading database ... 12671 files and directories currently installed.) 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Setting up libjs-jquery (3.2.1-1) ... Setting up libcfitsio5:amd64 (3.420-3) ... Setting up libpathplan4 (2.38.0-18ubuntu1) ... Setting up libaec0:amd64 (0.3.2-2) ... Setting up libgtk2.0-common (2.24.31-2ubuntu1) ... Setting up libcfitsio-dev:amd64 (3.420-3) ... Setting up libarchive-zip-perl (1.59-1) ... Setting up libjs-underscore (1.8.3~dfsg-1) ... Setting up mime-support (3.60ubuntu1) ... Setting up libgfortran4:amd64 (7.2.0-12ubuntu1) ... Setting up libtimedate-perl (2.3000-2) ... Setting up libjbig0:amd64 (2.1-3.1) ... Setting up libsigsegv2:amd64 (2.11-1) ... Setting up fonts-dejavu-core (2.37-1) ... Setting up libicu59:amd64 (59.1-3ubuntu1) ... Setting up groff-base (1.22.3-9) ... Setting up libglib2.0-0:amd64 (2.54.1-1ubuntu1) ... No schema files found: doing nothing. Setting up libjs-sphinxdoc (1.6.5-2) ... Setting up libgdk-pixbuf2.0-common (2.36.11-1) ... Setting up libdatrie1:amd64 (0.2.10-5) ... Setting up gettext-base (0.19.8.1-4ubuntu1) ... Setting up libjpeg-turbo8:amd64 (1.5.2-0ubuntu5) ... Setting up libpipeline1:amd64 (1.4.2-1) ... Setting up m4 (1.4.18-1) ... Setting up sgml-base (1.29) ... Setting up libbsd0:amd64 (0.8.6-2) ... Setting up ucf (3.0036) ... Setting up libxml2:amd64 (2.9.4+dfsg1-5ubuntu1) ... Setting up libfreetype6:amd64 (2.8-0.2ubuntu2) ... Setting up libmagic-mgc (1:5.32-1) ... Setting up libmagic1:amd64 (1:5.32-1) ... Setting up libgraphite2-3:amd64 (1.3.10-6) ... Setting up libcroco3:amd64 (0.6.12-1) ... Setting up libatk1.0-data (2.26.1-1) ... Setting up pkg-config (0.29.1-0ubuntu2) ... Setting up libyaml-0-2:amd64 (0.1.7-2ubuntu3) ... Setting up libpixman-1-0:amd64 (0.34.0-1) ... Setting up libblas3:amd64 (3.7.1-3ubuntu2) ... update-alternatives: using /usr/lib/x86_64-linux-gnu/blas/libblas.so.3 to provide /usr/lib/x86_64-linux-gnu/libblas.so.3 (libblas.so.3-x86_64-linux-gnu) in auto mode Processing triggers for libc-bin (2.26-0ubuntu2) ... Setting up autotools-dev (20161112.1+nmu1) ... Setting up libatk1.0-0:amd64 (2.26.1-1) ... Setting up libjs-jquery-datatables (1.10.16+dfsg-1) ... Setting up python-babel-localedata (2.4.0+dfsg.1-2ubuntu1) ... Setting up libjs-jquery-ui (1.12.1+dfsg-5) ... Processing triggers for systemd (235-2ubuntu1) ... Setting up libltdl7:amd64 (2.4.6-2) ... Setting up sphinx-common (1.6.5-2) ... Setting up libexpat1-dev:amd64 (2.2.3-1) ... Setting up ttf-bitstream-vera (1.10-8) ... Setting up shared-mime-info (1.9-2) ... Setting up libthai-data (0.1.27-1) ... Setting up liberfa1:amd64 (1.4.0-1) ... Setting up libxdmcp6:amd64 (1:1.1.2-3) ... Setting up xml-core (0.18) ... Setting up bsdmainutils (9.0.12+nmu1ubuntu1) ... update-alternatives: using /usr/bin/bsd-write to provide /usr/bin/write (write) in auto mode update-alternatives: using /usr/bin/bsd-from to provide /usr/bin/from (from) in auto mode Setting up x11-common (1:7.7+19ubuntu3) ... update-rc.d: warning: start and stop actions are no longer supported; falling back to defaults Running in chroot, ignoring request. invoke-rc.d: policy-rc.d denied execution of start. Setting up hicolor-icon-theme (0.17-1) ... Setting up libcdt5 (2.38.0-18ubuntu1) ... Setting up libx11-data (2:1.6.4-3) ... Setting up libpython2.7-stdlib:amd64 (2.7.14-2ubuntu2) ... Setting up libxau6:amd64 (1:1.0.8-1) ... Setting up autopoint (0.19.8.1-4ubuntu1) ... Setting up libmpdec2:amd64 (2.4.2-1) ... Setting up libdbus-1-3:amd64 (1.12.0-1ubuntu1) ... Setting up libavahi-common-data:amd64 (0.6.32-1ubuntu1) ... Setting up libcgraph6 (2.38.0-18ubuntu1) ... Setting up fonts-lyx (2.2.3-1build1) ... Setting up libsz2:amd64 (0.3.2-2) ... Setting up libwebp6:amd64 (0.6.0-3) ... Setting up zlib1g-dev:amd64 (1:1.2.11.dfsg-0ubuntu2) ... Setting up libwcs5:amd64 (5.16-1build1) ... Setting up libfile-stripnondeterminism-perl (0.040-1) ... Setting up libjpeg8:amd64 (8c-2ubuntu8) ... Setting up libpython3.6-stdlib:amd64 (3.6.3-1ubuntu1) ... Setting up fontconfig-config (2.12.6-0ubuntu1) ... Setting up python3.6 (3.6.3-1ubuntu1) ... Setting up libhdf5-100:amd64 (1.10.0-patch1+docs-4) ... Setting up python-matplotlib-data (2.0.0+dfsg1-2ubuntu3) ... Setting up gettext (0.19.8.1-4ubuntu1) ... Setting up libgvpr2 (2.38.0-18ubuntu1) ... Setting up liblapack3:amd64 (3.7.1-3ubuntu2) ... update-alternatives: using /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3 to provide /usr/lib/x86_64-linux-gnu/liblapack.so.3 (liblapack.so.3-x86_64-linux-gnu) in auto mode Setting up python2.7 (2.7.14-2ubuntu2) ... Setting up libharfbuzz0b:amd64 (1.6.2-1) ... Setting up libtiff5:amd64 (4.0.8-6) ... Setting up autoconf (2.69-11) ... Setting up libthai0:amd64 (0.1.27-1) ... Setting up file (1:5.32-1) ... Setting up libpython-stdlib:amd64 (2.7.14-2ubuntu1) ... Setting up intltool-debian (0.35.0+20060710.4) ... Setting up libpython2.7:amd64 (2.7.14-2ubuntu2) ... Setting up automake (1:1.15.1-3ubuntu1) ... update-alternatives: using /usr/bin/automake-1.15 to provide /usr/bin/automake (automake) in auto mode Setting up liberfa-dev (1.4.0-1) ... Setting up libice6:amd64 (2:1.0.9-2) ... Setting up man-db (2.7.6.1-2) ... Not building database; man-db/auto-update is not 'true'. Setting up libpython2.7-dev:amd64 (2.7.14-2ubuntu2) ... Setting up libavahi-common3:amd64 (0.6.32-1ubuntu1) ... Setting up python2.7-dev (2.7.14-2ubuntu2) ... Setting up libxcb1:amd64 (1.12-1ubuntu1) ... Setting up python (2.7.14-2ubuntu1) ... Setting up libpython3.6:amd64 (3.6.3-1ubuntu1) ... Setting up python-pyparsing (2.1.10+dfsg1-1) ... Setting up libtool (2.4.6-2) ... Setting up libpython3-stdlib:amd64 (3.6.3-2) ... Setting up libpython-dev:amd64 (2.7.14-2ubuntu1) ... Setting up libfontconfig1:amd64 (2.12.6-0ubuntu1) ... Setting up libsm6:amd64 (2:1.2.2-1) ... Setting up python-functools32 (3.2.3.2-3) ... Setting up python-yaml (3.12-1build2) ... Setting up libxcb-render0:amd64 (1.12-1ubuntu1) ... Setting up po-debconf (1.0.20) ... Setting up python-ply (3.9-1) ... Setting up python-dev (2.7.14-2ubuntu1) ... Setting up python-tz (2017.2-2) ... Setting up libx11-6:amd64 (2:1.6.4-3) ... Setting up libpython-all-dev:amd64 (2.7.14-2ubuntu1) ... Setting up python-pkg-resources (36.6.0-1) ... Setting up libpython3.6-dev:amd64 (3.6.3-1ubuntu1) ... Setting up python-markupsafe (1.0-1build1) ... Setting up python-numpy (1:1.13.1-1ubuntu1) ... Setting up cython (0.26.1-0.3ubuntu1) ... Setting up python-astropy-helpers (2.0.1-1) ... Setting up python-six (1.11.0-1) ... Setting up libxcomposite1:amd64 (1:0.4.4-2) ... Setting up libxcb-shm0:amd64 (1.12-1ubuntu1) ... Setting up libxpm4:amd64 (1:3.5.12-1) ... Setting up libxt6:amd64 (1:1.1.5-1) ... Setting up libxrender1:amd64 (1:0.9.10-1) ... Setting up libavahi-client3:amd64 (0.6.32-1ubuntu1) ... Setting up python-decorator (4.1.2-1) ... Setting up python-subprocess32 (3.2.7-2) ... Setting up python3.6-dev (3.6.3-1ubuntu1) ... Setting up python-nose (1.3.7-3) ... Setting up python-all (2.7.14-2ubuntu1) ... Setting up fontconfig (2.12.6-0ubuntu1) ... Regenerating fonts cache... done. Setting up libcups2:amd64 (2.2.6-1) ... Setting up libpython3-dev:amd64 (3.6.3-2) ... Setting up python-setuptools (36.6.0-1) ... Setting up python-h5py (2.7.1-2) ... Setting up python-configobj (5.0.6-2) ... Setting up libxdamage1:amd64 (1:1.1.4-3) ... Setting up libxext6:amd64 (2:1.3.3-1) ... Setting up libxfixes3:amd64 (1:5.0.3-1) ... Setting up python-scipy (0.19.1-1ubuntu1) ... Setting up python-jinja2 (2.9.6-1) ... Setting up python-py (1.4.34-3) ... Setting up libgdk-pixbuf2.0-0:amd64 (2.36.11-1) ... Setting up libgd3:amd64 (2.2.5-4) ... Setting up python-pytest (3.2.1-2) ... Setting up python-cycler (0.10.0-1) ... Setting up libxmu6:amd64 (2:1.1.2-2) ... Setting up python-dateutil (2.6.1-1) ... Setting up gtk-update-icon-cache (3.22.25-0ubuntu1) ... Setting up libxcursor1:amd64 (1:1.1.14-3) ... Setting up python-all-dev (2.7.14-2ubuntu1) ... Setting up libpython3-all-dev:amd64 (3.6.3-2) ... Setting up libpango-1.0-0:amd64 (1.40.13-1) ... Setting up libxrandr2:amd64 (2:1.5.1-1) ... Setting up libxi6:amd64 (2:1.7.9-1) ... Setting up libxaw7:amd64 (2:1.0.13-1) ... Setting up libcairo2:amd64 (1.15.8-2) ... Setting up libxinerama1:amd64 (2:1.1.3-1) ... Setting up libgiza0 (0.9.4-4build1) ... Setting up libpangoft2-1.0-0:amd64 (1.40.13-1) ... Setting up libpgplot0 (0.9.4-4build1) ... Setting up libpangocairo-1.0-0:amd64 (1.40.13-1) ... Setting up libgvc6 (2.38.0-18ubuntu1) ... Setting up librsvg2-2:amd64 (2.40.18-2) ... Setting up libpgsbox5 (5.16-1build1) ... Setting up librsvg2-common:amd64 (2.40.18-2) ... Setting up wcslib-dev (5.16-1build1) ... Setting up graphviz (2.38.0-18ubuntu1) ... Processing triggers for sgml-base (1.29) ... Setting up docutils-common (0.14+dfsg-1) ... Processing triggers for sgml-base (1.29) ... Setting up adwaita-icon-theme (3.26.0-0ubuntu2) ... update-alternatives: using /usr/share/icons/Adwaita/cursor.theme to provide /usr/share/icons/default/index.theme (x-cursor-theme) in auto mode Setting up libgtk2.0-0:amd64 (2.24.31-2ubuntu1) ... Setting up dh-autoreconf (14) ... Setting up python3 (3.6.3-2) ... Setting up python3-numpy (1:1.13.1-1ubuntu1) ... Setting up python3-alabaster (0.7.8-1) ... Setting up python3-astropy-helpers (2.0.1-1) ... Setting up python3-idna (2.5-1) ... Setting up python3-six (1.11.0-1) ... Setting up python3-pyparsing (2.1.10+dfsg1-1) ... Setting up python-matplotlib (2.0.0+dfsg1-2ubuntu3) ... Setting up python3-cycler (0.10.0-1) ... Setting up python3-dev (3.6.3-2) ... Setting up python3-certifi (2017.7.27.1-2) ... Setting up humanity-icon-theme (0.6.13) ... Setting up python3-pkg-resources (36.6.0-1) ... Setting up python3-markupsafe (1.0-1build1) ... Setting up dh-strip-nondeterminism (0.040-1) ... Setting up python3-nose (1.3.7-3) ... Setting up python3-chardet (3.0.4-1) ... Setting up python3-all (3.6.3-2) ... Setting up python3-jinja2 (2.9.6-1) ... Setting up cython3 (0.26.1-0.3ubuntu1) ... Setting up python3-urllib3 (1.21.1-1) ... Setting up python3-ply (3.9-1) ... Setting up python3-configobj (5.0.6-2) ... Setting up python3-setuptools (36.6.0-1) ... Setting up dh-python (2.20170125) ... Setting up python3-decorator (4.1.2-1) ... Setting up python3-tz (2017.2-2) ... Setting up python3-dateutil (2.6.1-1) ... Setting up python3-h5py (2.7.1-2) ... Setting up python3-pygments (2.2.0+dfsg-1) ... Setting up python3-yaml (3.12-1build2) ... Setting up debhelper (10.10.5ubuntu1) ... Setting up python3-roman (2.0.0-2) ... Setting up python3-scipy (0.19.1-1ubuntu1) ... Setting up python3-imagesize (0.7.1-1) ... Setting up python3-py (1.4.34-3) ... Setting up python-pytest-mpl (0.7-2) ... Setting up python3-all-dev (3.6.3-2) ... Setting up ubuntu-mono (16.10+17.10.20171012.1-0ubuntu1) ... Setting up python3-pytest (3.2.1-2) ... Setting up python3-babel (2.4.0+dfsg.1-2ubuntu1) ... update-alternatives: using /usr/bin/pybabel-python3 to provide /usr/bin/pybabel (pybabel) in auto mode Setting up python3-docutils (0.14+dfsg-1) ... update-alternatives: using /usr/share/docutils/scripts/python3/rst-buildhtml to provide /usr/bin/rst-buildhtml (rst-buildhtml) in auto mode update-alternatives: using /usr/share/docutils/scripts/python3/rst2html to provide /usr/bin/rst2html (rst2html) in auto mode update-alternatives: using /usr/share/docutils/scripts/python3/rst2html4 to provide /usr/bin/rst2html4 (rst2html4) in auto mode update-alternatives: using /usr/share/docutils/scripts/python3/rst2html5 to provide /usr/bin/rst2html5 (rst2html5) in auto mode update-alternatives: using /usr/share/docutils/scripts/python3/rst2latex to provide /usr/bin/rst2latex (rst2latex) in auto mode update-alternatives: using /usr/share/docutils/scripts/python3/rst2man to provide /usr/bin/rst2man (rst2man) in auto mode update-alternatives: using /usr/share/docutils/scripts/python3/rst2odt to provide /usr/bin/rst2odt (rst2odt) in auto mode update-alternatives: using /usr/share/docutils/scripts/python3/rst2odt_prepstyles to provide /usr/bin/rst2odt_prepstyles (rst2odt_prepstyles) in auto mode update-alternatives: using /usr/share/docutils/scripts/python3/rst2pseudoxml to provide /usr/bin/rst2pseudoxml (rst2pseudoxml) in auto mode update-alternatives: using /usr/share/docutils/scripts/python3/rst2s5 to provide /usr/bin/rst2s5 (rst2s5) in auto mode update-alternatives: using /usr/share/docutils/scripts/python3/rst2xetex to provide /usr/bin/rst2xetex (rst2xetex) in auto mode update-alternatives: using /usr/share/docutils/scripts/python3/rst2xml to provide /usr/bin/rst2xml (rst2xml) in auto mode update-alternatives: using /usr/share/docutils/scripts/python3/rstpep2html to provide /usr/bin/rstpep2html (rstpep2html) in auto mode Setting up python3-requests (2.18.1-1) ... Setting up python3-matplotlib (2.0.0+dfsg1-2ubuntu3) ... Setting up python3-pytest-mpl (0.7-2) ... Setting up python3-sphinx (1.6.5-2) ... Setting up sbuild-build-depends-python-astropy-dummy (0.invalid.0) ... (Reading database ... 38716 files and directories currently installed.) Purging configuration files for pkg-create-dbgsym (0.73) ... Processing triggers for libgdk-pixbuf2.0-0:amd64 (2.36.11-1) ... Processing triggers for libc-bin (2.26-0ubuntu2) ... 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python-nose_1.3.7-3 python-numpy_1:1.13.1-1ubuntu1 python-pkg-resources_36.6.0-1 python-ply_3.9-1 python-py_1.4.34-3 python-pyparsing_2.1.10+dfsg1-1 python-pytest_3.2.1-2 python-pytest-mpl_0.7-2 python-scipy_0.19.1-1ubuntu1 python-setuptools_36.6.0-1 python-six_1.11.0-1 python-subprocess32_3.2.7-2 python-tz_2017.2-2 python-yaml_3.12-1build2 python2.7_2.7.14-2ubuntu2 python2.7-dev_2.7.14-2ubuntu2 python2.7-minimal_2.7.14-2ubuntu2 python3_3.6.3-2 python3-alabaster_0.7.8-1 python3-all_3.6.3-2 python3-all-dev_3.6.3-2 python3-astropy-helpers_2.0.1-1 python3-babel_2.4.0+dfsg.1-2ubuntu1 python3-certifi_2017.7.27.1-2 python3-chardet_3.0.4-1 python3-configobj_5.0.6-2 python3-cycler_0.10.0-1 python3-dateutil_2.6.1-1 python3-decorator_4.1.2-1 python3-dev_3.6.3-2 python3-docutils_0.14+dfsg-1 python3-h5py_2.7.1-2 python3-idna_2.5-1 python3-imagesize_0.7.1-1 python3-jinja2_2.9.6-1 python3-markupsafe_1.0-1build1 python3-matplotlib_2.0.0+dfsg1-2ubuntu3 python3-minimal_3.6.3-2 python3-nose_1.3.7-3 python3-numpy_1:1.13.1-1ubuntu1 python3-pkg-resources_36.6.0-1 python3-ply_3.9-1 python3-py_1.4.34-3 python3-pygments_2.2.0+dfsg-1 python3-pyparsing_2.1.10+dfsg1-1 python3-pytest_3.2.1-2 python3-pytest-mpl_0.7-2 python3-requests_2.18.1-1 python3-roman_2.0.0-2 python3-scipy_0.19.1-1ubuntu1 python3-setuptools_36.6.0-1 python3-six_1.11.0-1 python3-sphinx_1.6.5-2 python3-tz_2017.2-2 python3-urllib3_1.21.1-1 python3-yaml_3.12-1build2 python3.6_3.6.3-1ubuntu1 python3.6-dev_3.6.3-1ubuntu1 python3.6-minimal_3.6.3-1ubuntu1 readline-common_7.0-0ubuntu2 sbuild-build-depends-core-dummy_0.invalid.0 sbuild-build-depends-python-astropy-dummy_0.invalid.0 sed_4.4-1 sensible-utils_0.0.10 sgml-base_1.29 shared-mime-info_1.9-2 sphinx-common_1.6.5-2 systemd_235-2ubuntu1 systemd-sysv_235-2ubuntu1 sysv-rc_2.88dsf-59.3ubuntu2 sysvinit-utils_2.88dsf-59.10ubuntu1 tar_1.29b-2 ttf-bitstream-vera_1.10-8 tzdata_2017c-1 ubuntu-keyring_2016.10.27 ubuntu-mono_16.10+17.10.20171012.1-0ubuntu1 ucf_3.0036 util-linux_2.30.1-0ubuntu4 wcslib-dev_5.16-1build1 x11-common_1:7.7+19ubuntu3 xml-core_0.18 xz-utils_5.2.2-1.3 zlib1g_1:1.2.11.dfsg-0ubuntu2 zlib1g-dev_1:1.2.11.dfsg-0ubuntu2 +------------------------------------------------------------------------------+ | Build | +------------------------------------------------------------------------------+ Unpack source ------------- gpgv: Signature made Mon Sep 11 19:35:23 2017 UTC gpgv: using RSA key gpgv: Can't check signature: No public key dpkg-source: warning: failed to verify signature on ./python-astropy_2.0.2-1.dsc dpkg-source: info: extracting python-astropy in python-astropy-2.0.2 dpkg-source: info: unpacking python-astropy_2.0.2.orig.tar.gz dpkg-source: info: unpacking python-astropy_2.0.2-1.debian.tar.xz dpkg-source: info: applying disable_helper.patch dpkg-source: info: applying only_python3-binaries.patch dpkg-source: info: applying mark_known_failures.patch dpkg-source: info: applying external_python_pkgs.patch dpkg-source: info: applying Shorten-message-to-compare-for-recent-h5py.patch Check disc space ---------------- Sufficient free space for build User Environment ---------------- APT_CONFIG=/var/lib/sbuild/apt.conf DEB_BUILD_OPTIONS=parallel=4 HOME=/sbuild-nonexistent LANG=C.UTF-8 LC_ALL=C.UTF-8 LOGNAME=buildd PATH=/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games SCHROOT_ALIAS_NAME=build-PACKAGEBUILD-13661057 SCHROOT_CHROOT_NAME=build-PACKAGEBUILD-13661057 SCHROOT_COMMAND=env SCHROOT_GID=2501 SCHROOT_GROUP=buildd SCHROOT_SESSION_ID=build-PACKAGEBUILD-13661057 SCHROOT_UID=2001 SCHROOT_USER=buildd SHELL=/bin/sh TERM=unknown USER=buildd V=1 dpkg-buildpackage ----------------- dpkg-buildpackage: info: source package python-astropy dpkg-buildpackage: info: source version 2.0.2-1 dpkg-buildpackage: info: source distribution unstable dpkg-source --before-build python-astropy-2.0.2 dpkg-buildpackage: info: host architecture amd64 fakeroot debian/rules clean debian/rules:34: warning: overriding recipe for target 'override_dh_auto_build' debian/rules:25: warning: ignoring old recipe for target 'override_dh_auto_build' dh clean --with python2,python3,sphinxdoc debian/rules override_dh_auto_clean make[1]: Entering directory '/<>' debian/rules:34: warning: overriding recipe for target 'override_dh_auto_build' debian/rules:25: warning: ignoring old recipe for target 'override_dh_auto_build' dh_auto_clean python setup.py clean -a running clean 'build/lib.linux-x86_64-2.7' does not exist -- can't clean it 'build/bdist.linux-x86_64' does not exist -- can't clean it 'build/scripts-2.7' does not exist -- can't clean it find . -name \*.pyc -exec rm {} \+ rm -rf build astropy.egg-info rm -rf astropy_helpers-*.egg rm -rf docs/_build docs/_generated make[1]: Leaving directory '/<>' dh_clean debian/rules build debian/rules:34: warning: overriding recipe for target 'override_dh_auto_build' debian/rules:25: warning: ignoring old recipe for target 'override_dh_auto_build' dh build --with python2,python3,sphinxdoc dh_update_autotools_config dh_auto_configure debian/rules override_dh_auto_build make[1]: Entering directory '/<>' debian/rules:34: warning: overriding recipe for target 'override_dh_auto_build' debian/rules:25: warning: ignoring old recipe for target 'override_dh_auto_build' python2.7 setup.py build --use-system-libraries Freezing version number to ./astropy/version.py running build running build_py running pre_hook from astropy._erfa.setup_package for build_py command running pre_hook from astropy.modeling.setup_package for build_py command WARNING: The autogenerated wrappers in astropy.modeling._projections seem to be older than the source templates used to create them. Because this is a release version we will use them anyway, but this might be a sign of some sort of version mismatch or other tampering. Or it might just mean you moved some files around or otherwise accidentally changed timestamps. creating build/lib.linux-x86_64-2.7 creating build/lib.linux-x86_64-2.7/astropy copying astropy/version.py -> build/lib.linux-x86_64-2.7/astropy copying astropy/__init__.py -> build/lib.linux-x86_64-2.7/astropy copying astropy/logger.py -> build/lib.linux-x86_64-2.7/astropy copying astropy/conftest.py -> build/lib.linux-x86_64-2.7/astropy copying astropy/setup_package.py -> build/lib.linux-x86_64-2.7/astropy creating build/lib.linux-x86_64-2.7/astropy/stats copying astropy/stats/circstats.py -> build/lib.linux-x86_64-2.7/astropy/stats copying astropy/stats/__init__.py -> build/lib.linux-x86_64-2.7/astropy/stats copying astropy/stats/bayesian_blocks.py -> build/lib.linux-x86_64-2.7/astropy/stats copying astropy/stats/info_theory.py -> build/lib.linux-x86_64-2.7/astropy/stats copying astropy/stats/spatial.py -> build/lib.linux-x86_64-2.7/astropy/stats copying astropy/stats/setup_package.py -> build/lib.linux-x86_64-2.7/astropy/stats copying astropy/stats/biweight.py -> build/lib.linux-x86_64-2.7/astropy/stats copying astropy/stats/histogram.py -> build/lib.linux-x86_64-2.7/astropy/stats copying astropy/stats/jackknife.py -> build/lib.linux-x86_64-2.7/astropy/stats copying astropy/stats/sigma_clipping.py -> build/lib.linux-x86_64-2.7/astropy/stats copying astropy/stats/funcs.py -> build/lib.linux-x86_64-2.7/astropy/stats creating build/lib.linux-x86_64-2.7/astropy/utils copying astropy/utils/metadata.py -> build/lib.linux-x86_64-2.7/astropy/utils copying astropy/utils/introspection.py -> build/lib.linux-x86_64-2.7/astropy/utils copying astropy/utils/data.py -> build/lib.linux-x86_64-2.7/astropy/utils copying astropy/utils/__init__.py -> build/lib.linux-x86_64-2.7/astropy/utils copying astropy/utils/codegen.py -> build/lib.linux-x86_64-2.7/astropy/utils copying astropy/utils/timer.py -> build/lib.linux-x86_64-2.7/astropy/utils copying astropy/utils/state.py -> build/lib.linux-x86_64-2.7/astropy/utils copying astropy/utils/console.py -> build/lib.linux-x86_64-2.7/astropy/utils copying astropy/utils/exceptions.py -> build/lib.linux-x86_64-2.7/astropy/utils copying astropy/utils/decorators.py -> build/lib.linux-x86_64-2.7/astropy/utils copying astropy/utils/setup_package.py -> build/lib.linux-x86_64-2.7/astropy/utils copying astropy/utils/collections.py -> build/lib.linux-x86_64-2.7/astropy/utils copying astropy/utils/data_info.py -> build/lib.linux-x86_64-2.7/astropy/utils copying astropy/utils/misc.py -> build/lib.linux-x86_64-2.7/astropy/utils copying astropy/utils/argparse.py -> build/lib.linux-x86_64-2.7/astropy/utils creating build/lib.linux-x86_64-2.7/astropy/nddata copying astropy/nddata/__init__.py -> build/lib.linux-x86_64-2.7/astropy/nddata copying astropy/nddata/flag_collection.py -> build/lib.linux-x86_64-2.7/astropy/nddata copying astropy/nddata/nddata_withmixins.py -> build/lib.linux-x86_64-2.7/astropy/nddata copying astropy/nddata/nddata_base.py -> build/lib.linux-x86_64-2.7/astropy/nddata copying astropy/nddata/decorators.py -> build/lib.linux-x86_64-2.7/astropy/nddata copying astropy/nddata/nduncertainty.py -> build/lib.linux-x86_64-2.7/astropy/nddata copying astropy/nddata/setup_package.py -> build/lib.linux-x86_64-2.7/astropy/nddata copying astropy/nddata/ccddata.py -> build/lib.linux-x86_64-2.7/astropy/nddata copying astropy/nddata/utils.py -> build/lib.linux-x86_64-2.7/astropy/nddata copying astropy/nddata/nddata.py -> build/lib.linux-x86_64-2.7/astropy/nddata copying astropy/nddata/compat.py -> build/lib.linux-x86_64-2.7/astropy/nddata creating build/lib.linux-x86_64-2.7/astropy/wcs copying astropy/wcs/wcs.py -> build/lib.linux-x86_64-2.7/astropy/wcs copying astropy/wcs/__init__.py -> build/lib.linux-x86_64-2.7/astropy/wcs copying astropy/wcs/_docutil.py -> build/lib.linux-x86_64-2.7/astropy/wcs copying astropy/wcs/wcslint.py -> build/lib.linux-x86_64-2.7/astropy/wcs copying astropy/wcs/setup_package.py -> build/lib.linux-x86_64-2.7/astropy/wcs copying astropy/wcs/docstrings.py -> build/lib.linux-x86_64-2.7/astropy/wcs copying astropy/wcs/utils.py -> build/lib.linux-x86_64-2.7/astropy/wcs creating build/lib.linux-x86_64-2.7/astropy/analytic_functions copying astropy/analytic_functions/__init__.py -> build/lib.linux-x86_64-2.7/astropy/analytic_functions copying astropy/analytic_functions/blackbody.py -> build/lib.linux-x86_64-2.7/astropy/analytic_functions creating build/lib.linux-x86_64-2.7/astropy/config copying astropy/config/__init__.py -> build/lib.linux-x86_64-2.7/astropy/config copying astropy/config/setup_package.py -> build/lib.linux-x86_64-2.7/astropy/config copying astropy/config/paths.py -> build/lib.linux-x86_64-2.7/astropy/config copying astropy/config/configuration.py -> build/lib.linux-x86_64-2.7/astropy/config copying astropy/config/affiliated.py -> build/lib.linux-x86_64-2.7/astropy/config creating build/lib.linux-x86_64-2.7/astropy/_erfa copying astropy/_erfa/core.py -> build/lib.linux-x86_64-2.7/astropy/_erfa copying astropy/_erfa/__init__.py -> build/lib.linux-x86_64-2.7/astropy/_erfa copying astropy/_erfa/setup_package.py -> build/lib.linux-x86_64-2.7/astropy/_erfa copying astropy/_erfa/erfa_generator.py -> build/lib.linux-x86_64-2.7/astropy/_erfa creating build/lib.linux-x86_64-2.7/astropy/vo copying astropy/vo/__init__.py -> build/lib.linux-x86_64-2.7/astropy/vo creating build/lib.linux-x86_64-2.7/astropy/time copying astropy/time/core.py -> build/lib.linux-x86_64-2.7/astropy/time copying astropy/time/__init__.py -> build/lib.linux-x86_64-2.7/astropy/time copying astropy/time/setup_package.py -> build/lib.linux-x86_64-2.7/astropy/time copying astropy/time/utils.py -> build/lib.linux-x86_64-2.7/astropy/time copying astropy/time/formats.py -> build/lib.linux-x86_64-2.7/astropy/time creating build/lib.linux-x86_64-2.7/astropy/table copying astropy/table/table.py -> build/lib.linux-x86_64-2.7/astropy/table copying astropy/table/info.py -> build/lib.linux-x86_64-2.7/astropy/table copying astropy/table/sorted_array.py -> build/lib.linux-x86_64-2.7/astropy/table copying astropy/table/__init__.py -> build/lib.linux-x86_64-2.7/astropy/table copying astropy/table/jsviewer.py -> build/lib.linux-x86_64-2.7/astropy/table copying astropy/table/groups.py -> build/lib.linux-x86_64-2.7/astropy/table copying astropy/table/column.py -> build/lib.linux-x86_64-2.7/astropy/table copying astropy/table/meta.py -> build/lib.linux-x86_64-2.7/astropy/table copying astropy/table/operations.py -> build/lib.linux-x86_64-2.7/astropy/table copying astropy/table/serialize.py -> build/lib.linux-x86_64-2.7/astropy/table copying astropy/table/table_helpers.py -> build/lib.linux-x86_64-2.7/astropy/table copying astropy/table/pprint.py -> build/lib.linux-x86_64-2.7/astropy/table copying astropy/table/row.py -> build/lib.linux-x86_64-2.7/astropy/table copying astropy/table/np_utils.py -> build/lib.linux-x86_64-2.7/astropy/table copying astropy/table/setup_package.py -> build/lib.linux-x86_64-2.7/astropy/table copying astropy/table/index.py -> build/lib.linux-x86_64-2.7/astropy/table copying astropy/table/bst.py -> build/lib.linux-x86_64-2.7/astropy/table creating build/lib.linux-x86_64-2.7/astropy/constants copying astropy/constants/astropyconst13.py -> build/lib.linux-x86_64-2.7/astropy/constants copying astropy/constants/si.py -> build/lib.linux-x86_64-2.7/astropy/constants copying astropy/constants/__init__.py -> build/lib.linux-x86_64-2.7/astropy/constants copying astropy/constants/constant.py -> build/lib.linux-x86_64-2.7/astropy/constants copying astropy/constants/codata2010.py -> build/lib.linux-x86_64-2.7/astropy/constants copying astropy/constants/iau2012.py -> build/lib.linux-x86_64-2.7/astropy/constants copying astropy/constants/setup_package.py -> build/lib.linux-x86_64-2.7/astropy/constants copying astropy/constants/cgs.py -> build/lib.linux-x86_64-2.7/astropy/constants copying astropy/constants/iau2015.py -> build/lib.linux-x86_64-2.7/astropy/constants copying astropy/constants/astropyconst20.py -> build/lib.linux-x86_64-2.7/astropy/constants copying astropy/constants/codata2014.py -> build/lib.linux-x86_64-2.7/astropy/constants creating build/lib.linux-x86_64-2.7/astropy/tests copying astropy/tests/command.py -> build/lib.linux-x86_64-2.7/astropy/tests copying astropy/tests/__init__.py -> build/lib.linux-x86_64-2.7/astropy/tests copying astropy/tests/test_logger.py -> build/lib.linux-x86_64-2.7/astropy/tests copying astropy/tests/runner.py -> build/lib.linux-x86_64-2.7/astropy/tests copying astropy/tests/helper.py -> build/lib.linux-x86_64-2.7/astropy/tests copying astropy/tests/output_checker.py -> build/lib.linux-x86_64-2.7/astropy/tests copying astropy/tests/pytest_plugins.py -> build/lib.linux-x86_64-2.7/astropy/tests copying astropy/tests/disable_internet.py -> build/lib.linux-x86_64-2.7/astropy/tests copying astropy/tests/image_tests.py -> build/lib.linux-x86_64-2.7/astropy/tests copying astropy/tests/setup_package.py -> build/lib.linux-x86_64-2.7/astropy/tests creating build/lib.linux-x86_64-2.7/astropy/cosmology copying astropy/cosmology/core.py -> build/lib.linux-x86_64-2.7/astropy/cosmology copying astropy/cosmology/__init__.py -> build/lib.linux-x86_64-2.7/astropy/cosmology copying astropy/cosmology/parameters.py -> build/lib.linux-x86_64-2.7/astropy/cosmology copying astropy/cosmology/setup_package.py -> build/lib.linux-x86_64-2.7/astropy/cosmology copying astropy/cosmology/funcs.py -> build/lib.linux-x86_64-2.7/astropy/cosmology creating build/lib.linux-x86_64-2.7/astropy/modeling copying astropy/modeling/core.py -> build/lib.linux-x86_64-2.7/astropy/modeling copying astropy/modeling/mappings.py -> build/lib.linux-x86_64-2.7/astropy/modeling copying astropy/modeling/optimizers.py -> build/lib.linux-x86_64-2.7/astropy/modeling copying astropy/modeling/__init__.py -> build/lib.linux-x86_64-2.7/astropy/modeling copying astropy/modeling/projections.py -> build/lib.linux-x86_64-2.7/astropy/modeling copying astropy/modeling/functional_models.py -> build/lib.linux-x86_64-2.7/astropy/modeling copying astropy/modeling/models.py -> build/lib.linux-x86_64-2.7/astropy/modeling copying astropy/modeling/parameters.py -> build/lib.linux-x86_64-2.7/astropy/modeling copying astropy/modeling/polynomial.py -> build/lib.linux-x86_64-2.7/astropy/modeling copying astropy/modeling/rotations.py -> build/lib.linux-x86_64-2.7/astropy/modeling copying astropy/modeling/statistic.py -> build/lib.linux-x86_64-2.7/astropy/modeling copying astropy/modeling/setup_package.py -> build/lib.linux-x86_64-2.7/astropy/modeling copying astropy/modeling/utils.py -> build/lib.linux-x86_64-2.7/astropy/modeling copying astropy/modeling/blackbody.py -> build/lib.linux-x86_64-2.7/astropy/modeling copying astropy/modeling/fitting.py -> build/lib.linux-x86_64-2.7/astropy/modeling copying astropy/modeling/powerlaws.py -> build/lib.linux-x86_64-2.7/astropy/modeling copying astropy/modeling/tabular.py -> build/lib.linux-x86_64-2.7/astropy/modeling creating build/lib.linux-x86_64-2.7/astropy/samp copying astropy/samp/hub.py -> build/lib.linux-x86_64-2.7/astropy/samp copying astropy/samp/errors.py -> build/lib.linux-x86_64-2.7/astropy/samp copying astropy/samp/constants.py -> build/lib.linux-x86_64-2.7/astropy/samp copying astropy/samp/web_profile.py -> build/lib.linux-x86_64-2.7/astropy/samp copying astropy/samp/__init__.py -> build/lib.linux-x86_64-2.7/astropy/samp copying astropy/samp/client.py -> build/lib.linux-x86_64-2.7/astropy/samp copying astropy/samp/integrated_client.py -> build/lib.linux-x86_64-2.7/astropy/samp copying astropy/samp/setup_package.py -> build/lib.linux-x86_64-2.7/astropy/samp copying astropy/samp/utils.py -> build/lib.linux-x86_64-2.7/astropy/samp copying astropy/samp/lockfile_helpers.py -> build/lib.linux-x86_64-2.7/astropy/samp copying astropy/samp/hub_proxy.py -> build/lib.linux-x86_64-2.7/astropy/samp copying astropy/samp/standard_profile.py -> build/lib.linux-x86_64-2.7/astropy/samp copying astropy/samp/hub_script.py -> build/lib.linux-x86_64-2.7/astropy/samp creating build/lib.linux-x86_64-2.7/astropy/visualization copying astropy/visualization/hist.py -> build/lib.linux-x86_64-2.7/astropy/visualization copying astropy/visualization/mpl_style.py -> build/lib.linux-x86_64-2.7/astropy/visualization copying astropy/visualization/lupton_rgb.py -> build/lib.linux-x86_64-2.7/astropy/visualization copying astropy/visualization/__init__.py -> build/lib.linux-x86_64-2.7/astropy/visualization copying astropy/visualization/units.py -> build/lib.linux-x86_64-2.7/astropy/visualization copying astropy/visualization/stretch.py -> build/lib.linux-x86_64-2.7/astropy/visualization copying astropy/visualization/transform.py -> build/lib.linux-x86_64-2.7/astropy/visualization copying astropy/visualization/mpl_normalize.py -> build/lib.linux-x86_64-2.7/astropy/visualization copying astropy/visualization/interval.py -> build/lib.linux-x86_64-2.7/astropy/visualization creating build/lib.linux-x86_64-2.7/astropy/convolution copying astropy/convolution/core.py -> build/lib.linux-x86_64-2.7/astropy/convolution copying astropy/convolution/__init__.py -> build/lib.linux-x86_64-2.7/astropy/convolution copying astropy/convolution/convolve.py -> build/lib.linux-x86_64-2.7/astropy/convolution copying astropy/convolution/setup_package.py -> build/lib.linux-x86_64-2.7/astropy/convolution copying astropy/convolution/utils.py -> build/lib.linux-x86_64-2.7/astropy/convolution copying astropy/convolution/kernels.py -> build/lib.linux-x86_64-2.7/astropy/convolution creating build/lib.linux-x86_64-2.7/astropy/units copying astropy/units/core.py -> build/lib.linux-x86_64-2.7/astropy/units copying astropy/units/required_by_vounit.py -> build/lib.linux-x86_64-2.7/astropy/units copying astropy/units/cds.py -> build/lib.linux-x86_64-2.7/astropy/units copying astropy/units/astrophys.py -> build/lib.linux-x86_64-2.7/astropy/units copying astropy/units/equivalencies.py -> build/lib.linux-x86_64-2.7/astropy/units copying astropy/units/si.py -> build/lib.linux-x86_64-2.7/astropy/units copying astropy/units/__init__.py -> build/lib.linux-x86_64-2.7/astropy/units copying astropy/units/quantity.py -> build/lib.linux-x86_64-2.7/astropy/units copying astropy/units/quantity_helper.py -> build/lib.linux-x86_64-2.7/astropy/units copying astropy/units/physical.py -> build/lib.linux-x86_64-2.7/astropy/units copying astropy/units/imperial.py -> build/lib.linux-x86_64-2.7/astropy/units copying astropy/units/deprecated.py -> build/lib.linux-x86_64-2.7/astropy/units copying astropy/units/decorators.py -> build/lib.linux-x86_64-2.7/astropy/units copying astropy/units/setup_package.py -> build/lib.linux-x86_64-2.7/astropy/units copying astropy/units/cgs.py -> build/lib.linux-x86_64-2.7/astropy/units copying astropy/units/utils.py -> build/lib.linux-x86_64-2.7/astropy/units creating build/lib.linux-x86_64-2.7/astropy/extern copying astropy/extern/six.py -> build/lib.linux-x86_64-2.7/astropy/extern copying astropy/extern/configobj.py -> build/lib.linux-x86_64-2.7/astropy/extern copying astropy/extern/__init__.py -> build/lib.linux-x86_64-2.7/astropy/extern copying astropy/extern/setup_package.py -> build/lib.linux-x86_64-2.7/astropy/extern creating build/lib.linux-x86_64-2.7/astropy/coordinates copying astropy/coordinates/errors.py -> build/lib.linux-x86_64-2.7/astropy/coordinates copying astropy/coordinates/solar_system.py -> build/lib.linux-x86_64-2.7/astropy/coordinates copying astropy/coordinates/angle_utilities.py -> build/lib.linux-x86_64-2.7/astropy/coordinates copying astropy/coordinates/matching.py -> build/lib.linux-x86_64-2.7/astropy/coordinates copying astropy/coordinates/__init__.py -> build/lib.linux-x86_64-2.7/astropy/coordinates copying astropy/coordinates/transformations.py -> build/lib.linux-x86_64-2.7/astropy/coordinates copying astropy/coordinates/angles.py -> build/lib.linux-x86_64-2.7/astropy/coordinates copying astropy/coordinates/name_resolve.py -> build/lib.linux-x86_64-2.7/astropy/coordinates copying astropy/coordinates/sites.py -> build/lib.linux-x86_64-2.7/astropy/coordinates copying astropy/coordinates/baseframe.py -> build/lib.linux-x86_64-2.7/astropy/coordinates copying astropy/coordinates/sky_coordinate.py -> build/lib.linux-x86_64-2.7/astropy/coordinates copying astropy/coordinates/angle_lextab.py -> build/lib.linux-x86_64-2.7/astropy/coordinates copying astropy/coordinates/attributes.py -> build/lib.linux-x86_64-2.7/astropy/coordinates copying astropy/coordinates/setup_package.py -> build/lib.linux-x86_64-2.7/astropy/coordinates copying astropy/coordinates/matrix_utilities.py -> build/lib.linux-x86_64-2.7/astropy/coordinates copying astropy/coordinates/angle_parsetab.py -> build/lib.linux-x86_64-2.7/astropy/coordinates copying astropy/coordinates/earth.py -> build/lib.linux-x86_64-2.7/astropy/coordinates copying astropy/coordinates/representation.py -> build/lib.linux-x86_64-2.7/astropy/coordinates copying astropy/coordinates/orbital_elements.py -> build/lib.linux-x86_64-2.7/astropy/coordinates copying astropy/coordinates/calculation.py -> build/lib.linux-x86_64-2.7/astropy/coordinates copying astropy/coordinates/distances.py -> build/lib.linux-x86_64-2.7/astropy/coordinates copying astropy/coordinates/earth_orientation.py -> build/lib.linux-x86_64-2.7/astropy/coordinates copying astropy/coordinates/funcs.py -> build/lib.linux-x86_64-2.7/astropy/coordinates creating build/lib.linux-x86_64-2.7/astropy/io copying astropy/io/__init__.py -> build/lib.linux-x86_64-2.7/astropy/io copying astropy/io/registry.py -> build/lib.linux-x86_64-2.7/astropy/io copying astropy/io/setup_package.py -> build/lib.linux-x86_64-2.7/astropy/io creating build/lib.linux-x86_64-2.7/astropy/stats/lombscargle copying astropy/stats/lombscargle/core.py -> build/lib.linux-x86_64-2.7/astropy/stats/lombscargle copying astropy/stats/lombscargle/__init__.py -> build/lib.linux-x86_64-2.7/astropy/stats/lombscargle creating build/lib.linux-x86_64-2.7/astropy/stats/tests copying astropy/stats/tests/test_funcs.py -> build/lib.linux-x86_64-2.7/astropy/stats/tests copying astropy/stats/tests/test_circstats.py -> build/lib.linux-x86_64-2.7/astropy/stats/tests copying astropy/stats/tests/test_spatial.py -> build/lib.linux-x86_64-2.7/astropy/stats/tests copying astropy/stats/tests/__init__.py -> build/lib.linux-x86_64-2.7/astropy/stats/tests copying astropy/stats/tests/test_biweight.py -> build/lib.linux-x86_64-2.7/astropy/stats/tests copying astropy/stats/tests/test_bayesian_blocks.py -> build/lib.linux-x86_64-2.7/astropy/stats/tests copying astropy/stats/tests/test_histogram.py -> build/lib.linux-x86_64-2.7/astropy/stats/tests copying astropy/stats/tests/test_jackknife.py -> build/lib.linux-x86_64-2.7/astropy/stats/tests copying astropy/stats/tests/test_info_theory.py -> build/lib.linux-x86_64-2.7/astropy/stats/tests copying astropy/stats/tests/test_sigma_clipping.py -> build/lib.linux-x86_64-2.7/astropy/stats/tests creating build/lib.linux-x86_64-2.7/astropy/stats/lombscargle/implementations copying astropy/stats/lombscargle/implementations/slow_impl.py -> build/lib.linux-x86_64-2.7/astropy/stats/lombscargle/implementations copying astropy/stats/lombscargle/implementations/chi2_impl.py -> build/lib.linux-x86_64-2.7/astropy/stats/lombscargle/implementations copying astropy/stats/lombscargle/implementations/__init__.py -> build/lib.linux-x86_64-2.7/astropy/stats/lombscargle/implementations copying astropy/stats/lombscargle/implementations/main.py -> build/lib.linux-x86_64-2.7/astropy/stats/lombscargle/implementations copying astropy/stats/lombscargle/implementations/fast_impl.py -> build/lib.linux-x86_64-2.7/astropy/stats/lombscargle/implementations copying astropy/stats/lombscargle/implementations/mle.py -> build/lib.linux-x86_64-2.7/astropy/stats/lombscargle/implementations copying astropy/stats/lombscargle/implementations/fastchi2_impl.py -> build/lib.linux-x86_64-2.7/astropy/stats/lombscargle/implementations copying astropy/stats/lombscargle/implementations/scipy_impl.py -> build/lib.linux-x86_64-2.7/astropy/stats/lombscargle/implementations copying astropy/stats/lombscargle/implementations/utils.py -> build/lib.linux-x86_64-2.7/astropy/stats/lombscargle/implementations creating build/lib.linux-x86_64-2.7/astropy/stats/lombscargle/tests copying astropy/stats/lombscargle/tests/test_lombscargle.py -> build/lib.linux-x86_64-2.7/astropy/stats/lombscargle/tests copying astropy/stats/lombscargle/tests/__init__.py -> build/lib.linux-x86_64-2.7/astropy/stats/lombscargle/tests creating build/lib.linux-x86_64-2.7/astropy/stats/lombscargle/implementations/tests copying astropy/stats/lombscargle/implementations/tests/__init__.py -> build/lib.linux-x86_64-2.7/astropy/stats/lombscargle/implementations/tests copying astropy/stats/lombscargle/implementations/tests/test_mle.py -> build/lib.linux-x86_64-2.7/astropy/stats/lombscargle/implementations/tests copying astropy/stats/lombscargle/implementations/tests/test_utils.py -> build/lib.linux-x86_64-2.7/astropy/stats/lombscargle/implementations/tests creating build/lib.linux-x86_64-2.7/astropy/utils/xml copying astropy/utils/xml/writer.py -> build/lib.linux-x86_64-2.7/astropy/utils/xml copying astropy/utils/xml/check.py -> build/lib.linux-x86_64-2.7/astropy/utils/xml copying astropy/utils/xml/__init__.py -> build/lib.linux-x86_64-2.7/astropy/utils/xml copying astropy/utils/xml/unescaper.py -> build/lib.linux-x86_64-2.7/astropy/utils/xml copying astropy/utils/xml/validate.py -> build/lib.linux-x86_64-2.7/astropy/utils/xml copying astropy/utils/xml/iterparser.py -> build/lib.linux-x86_64-2.7/astropy/utils/xml copying astropy/utils/xml/setup_package.py -> build/lib.linux-x86_64-2.7/astropy/utils/xml creating build/lib.linux-x86_64-2.7/astropy/utils/compat copying astropy/utils/compat/numpycompat.py -> build/lib.linux-x86_64-2.7/astropy/utils/compat copying astropy/utils/compat/funcsigs.py -> build/lib.linux-x86_64-2.7/astropy/utils/compat copying astropy/utils/compat/__init__.py -> build/lib.linux-x86_64-2.7/astropy/utils/compat copying astropy/utils/compat/_funcsigs.py -> build/lib.linux-x86_64-2.7/astropy/utils/compat copying astropy/utils/compat/misc.py -> build/lib.linux-x86_64-2.7/astropy/utils/compat creating build/lib.linux-x86_64-2.7/astropy/utils/tests copying astropy/utils/tests/test_timer.py -> build/lib.linux-x86_64-2.7/astropy/utils/tests copying astropy/utils/tests/test_decorators.py -> build/lib.linux-x86_64-2.7/astropy/utils/tests copying astropy/utils/tests/__init__.py -> build/lib.linux-x86_64-2.7/astropy/utils/tests copying astropy/utils/tests/test_xml.py -> build/lib.linux-x86_64-2.7/astropy/utils/tests copying astropy/utils/tests/test_data.py -> build/lib.linux-x86_64-2.7/astropy/utils/tests copying astropy/utils/tests/test_metadata.py -> build/lib.linux-x86_64-2.7/astropy/utils/tests copying astropy/utils/tests/test_data_info.py -> build/lib.linux-x86_64-2.7/astropy/utils/tests copying astropy/utils/tests/test_introspection.py -> build/lib.linux-x86_64-2.7/astropy/utils/tests copying astropy/utils/tests/test_console.py -> build/lib.linux-x86_64-2.7/astropy/utils/tests copying astropy/utils/tests/test_misc.py -> build/lib.linux-x86_64-2.7/astropy/utils/tests copying astropy/utils/tests/test_codegen.py -> build/lib.linux-x86_64-2.7/astropy/utils/tests copying astropy/utils/tests/test_collections.py -> build/lib.linux-x86_64-2.7/astropy/utils/tests creating build/lib.linux-x86_64-2.7/astropy/utils/iers copying astropy/utils/iers/__init__.py -> build/lib.linux-x86_64-2.7/astropy/utils/iers copying astropy/utils/iers/iers.py -> build/lib.linux-x86_64-2.7/astropy/utils/iers creating build/lib.linux-x86_64-2.7/astropy/utils/xml/tests copying astropy/utils/xml/tests/test_iterparse.py -> build/lib.linux-x86_64-2.7/astropy/utils/xml/tests copying astropy/utils/xml/tests/__init__.py -> build/lib.linux-x86_64-2.7/astropy/utils/xml/tests creating build/lib.linux-x86_64-2.7/astropy/utils/compat/numpy copying astropy/utils/compat/numpy/__init__.py -> build/lib.linux-x86_64-2.7/astropy/utils/compat/numpy creating build/lib.linux-x86_64-2.7/astropy/utils/compat/futures copying astropy/utils/compat/futures/_base.py -> build/lib.linux-x86_64-2.7/astropy/utils/compat/futures copying astropy/utils/compat/futures/__init__.py -> build/lib.linux-x86_64-2.7/astropy/utils/compat/futures copying astropy/utils/compat/futures/process.py -> build/lib.linux-x86_64-2.7/astropy/utils/compat/futures copying astropy/utils/compat/futures/thread.py -> build/lib.linux-x86_64-2.7/astropy/utils/compat/futures creating build/lib.linux-x86_64-2.7/astropy/utils/compat/numpy/core copying astropy/utils/compat/numpy/core/__init__.py -> build/lib.linux-x86_64-2.7/astropy/utils/compat/numpy/core copying astropy/utils/compat/numpy/core/multiarray.py -> build/lib.linux-x86_64-2.7/astropy/utils/compat/numpy/core creating build/lib.linux-x86_64-2.7/astropy/utils/compat/numpy/tests copying astropy/utils/compat/numpy/tests/__init__.py -> build/lib.linux-x86_64-2.7/astropy/utils/compat/numpy/tests copying astropy/utils/compat/numpy/tests/test_broadcast_arrays.py -> build/lib.linux-x86_64-2.7/astropy/utils/compat/numpy/tests copying astropy/utils/compat/numpy/tests/test_matmul.py -> build/lib.linux-x86_64-2.7/astropy/utils/compat/numpy/tests creating build/lib.linux-x86_64-2.7/astropy/utils/compat/numpy/lib copying astropy/utils/compat/numpy/lib/__init__.py -> build/lib.linux-x86_64-2.7/astropy/utils/compat/numpy/lib copying astropy/utils/compat/numpy/lib/stride_tricks.py -> build/lib.linux-x86_64-2.7/astropy/utils/compat/numpy/lib creating build/lib.linux-x86_64-2.7/astropy/utils/iers/tests copying astropy/utils/iers/tests/__init__.py -> build/lib.linux-x86_64-2.7/astropy/utils/iers/tests copying astropy/utils/iers/tests/test_iers.py -> build/lib.linux-x86_64-2.7/astropy/utils/iers/tests creating build/lib.linux-x86_64-2.7/astropy/nddata/tests copying astropy/nddata/tests/test_decorators.py -> build/lib.linux-x86_64-2.7/astropy/nddata/tests copying astropy/nddata/tests/__init__.py -> build/lib.linux-x86_64-2.7/astropy/nddata/tests copying astropy/nddata/tests/test_flag_collection.py -> build/lib.linux-x86_64-2.7/astropy/nddata/tests copying astropy/nddata/tests/test_nddata.py -> build/lib.linux-x86_64-2.7/astropy/nddata/tests copying astropy/nddata/tests/test_ccddata.py -> build/lib.linux-x86_64-2.7/astropy/nddata/tests copying astropy/nddata/tests/test_nddata_base.py -> build/lib.linux-x86_64-2.7/astropy/nddata/tests copying astropy/nddata/tests/test_utils.py -> build/lib.linux-x86_64-2.7/astropy/nddata/tests copying astropy/nddata/tests/test_compat.py -> build/lib.linux-x86_64-2.7/astropy/nddata/tests copying astropy/nddata/tests/test_nduncertainty.py -> build/lib.linux-x86_64-2.7/astropy/nddata/tests creating build/lib.linux-x86_64-2.7/astropy/nddata/mixins copying astropy/nddata/mixins/ndarithmetic.py -> build/lib.linux-x86_64-2.7/astropy/nddata/mixins copying astropy/nddata/mixins/__init__.py -> build/lib.linux-x86_64-2.7/astropy/nddata/mixins copying astropy/nddata/mixins/ndslicing.py -> build/lib.linux-x86_64-2.7/astropy/nddata/mixins copying astropy/nddata/mixins/ndio.py -> build/lib.linux-x86_64-2.7/astropy/nddata/mixins creating build/lib.linux-x86_64-2.7/astropy/nddata/mixins/tests copying astropy/nddata/mixins/tests/test_ndslicing.py -> build/lib.linux-x86_64-2.7/astropy/nddata/mixins/tests copying astropy/nddata/mixins/tests/test_ndio.py -> build/lib.linux-x86_64-2.7/astropy/nddata/mixins/tests copying astropy/nddata/mixins/tests/__init__.py -> build/lib.linux-x86_64-2.7/astropy/nddata/mixins/tests copying astropy/nddata/mixins/tests/test_ndarithmetic.py -> build/lib.linux-x86_64-2.7/astropy/nddata/mixins/tests creating build/lib.linux-x86_64-2.7/astropy/wcs/tests copying astropy/wcs/tests/__init__.py -> build/lib.linux-x86_64-2.7/astropy/wcs/tests copying astropy/wcs/tests/test_wcs.py -> build/lib.linux-x86_64-2.7/astropy/wcs/tests copying astropy/wcs/tests/test_pickle.py -> build/lib.linux-x86_64-2.7/astropy/wcs/tests copying astropy/wcs/tests/test_utils.py -> build/lib.linux-x86_64-2.7/astropy/wcs/tests copying astropy/wcs/tests/test_profiling.py -> build/lib.linux-x86_64-2.7/astropy/wcs/tests copying astropy/wcs/tests/test_wcsprm.py -> build/lib.linux-x86_64-2.7/astropy/wcs/tests creating build/lib.linux-x86_64-2.7/astropy/wcs/tests/extension copying astropy/wcs/tests/extension/__init__.py -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/extension copying astropy/wcs/tests/extension/test_extension.py -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/extension copying astropy/wcs/tests/extension/setup.py -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/extension creating build/lib.linux-x86_64-2.7/astropy/analytic_functions/tests copying astropy/analytic_functions/tests/__init__.py -> build/lib.linux-x86_64-2.7/astropy/analytic_functions/tests copying astropy/analytic_functions/tests/test_blackbody.py -> build/lib.linux-x86_64-2.7/astropy/analytic_functions/tests creating build/lib.linux-x86_64-2.7/astropy/config/tests copying astropy/config/tests/__init__.py -> build/lib.linux-x86_64-2.7/astropy/config/tests copying astropy/config/tests/test_configs.py -> build/lib.linux-x86_64-2.7/astropy/config/tests creating build/lib.linux-x86_64-2.7/astropy/_erfa/tests copying astropy/_erfa/tests/test_erfa.py -> build/lib.linux-x86_64-2.7/astropy/_erfa/tests copying astropy/_erfa/tests/__init__.py -> build/lib.linux-x86_64-2.7/astropy/_erfa/tests creating build/lib.linux-x86_64-2.7/astropy/vo/validator copying astropy/vo/validator/inspect.py -> build/lib.linux-x86_64-2.7/astropy/vo/validator copying astropy/vo/validator/__init__.py -> build/lib.linux-x86_64-2.7/astropy/vo/validator copying astropy/vo/validator/exceptions.py -> build/lib.linux-x86_64-2.7/astropy/vo/validator copying astropy/vo/validator/validate.py -> build/lib.linux-x86_64-2.7/astropy/vo/validator copying astropy/vo/validator/setup_package.py -> build/lib.linux-x86_64-2.7/astropy/vo/validator copying astropy/vo/validator/tstquery.py -> build/lib.linux-x86_64-2.7/astropy/vo/validator creating build/lib.linux-x86_64-2.7/astropy/vo/samp copying astropy/vo/samp/__init__.py -> build/lib.linux-x86_64-2.7/astropy/vo/samp creating build/lib.linux-x86_64-2.7/astropy/vo/client copying astropy/vo/client/__init__.py -> build/lib.linux-x86_64-2.7/astropy/vo/client copying astropy/vo/client/exceptions.py -> build/lib.linux-x86_64-2.7/astropy/vo/client copying astropy/vo/client/setup_package.py -> build/lib.linux-x86_64-2.7/astropy/vo/client copying astropy/vo/client/conesearch.py -> build/lib.linux-x86_64-2.7/astropy/vo/client copying astropy/vo/client/async.py -> build/lib.linux-x86_64-2.7/astropy/vo/client copying astropy/vo/client/vos_catalog.py -> build/lib.linux-x86_64-2.7/astropy/vo/client creating build/lib.linux-x86_64-2.7/astropy/vo/validator/tests copying astropy/vo/validator/tests/test_validate.py -> build/lib.linux-x86_64-2.7/astropy/vo/validator/tests copying astropy/vo/validator/tests/__init__.py -> build/lib.linux-x86_64-2.7/astropy/vo/validator/tests copying astropy/vo/validator/tests/test_inpect.py -> build/lib.linux-x86_64-2.7/astropy/vo/validator/tests creating build/lib.linux-x86_64-2.7/astropy/vo/client/tests copying astropy/vo/client/tests/__init__.py -> build/lib.linux-x86_64-2.7/astropy/vo/client/tests copying astropy/vo/client/tests/test_conesearch.py -> build/lib.linux-x86_64-2.7/astropy/vo/client/tests copying astropy/vo/client/tests/test_vos_catalog.py -> build/lib.linux-x86_64-2.7/astropy/vo/client/tests creating build/lib.linux-x86_64-2.7/astropy/time/tests copying astropy/time/tests/test_methods.py -> build/lib.linux-x86_64-2.7/astropy/time/tests copying astropy/time/tests/test_guess.py -> build/lib.linux-x86_64-2.7/astropy/time/tests copying astropy/time/tests/test_ut1.py -> build/lib.linux-x86_64-2.7/astropy/time/tests copying astropy/time/tests/test_delta.py -> build/lib.linux-x86_64-2.7/astropy/time/tests copying astropy/time/tests/test_comparisons.py -> build/lib.linux-x86_64-2.7/astropy/time/tests copying astropy/time/tests/__init__.py -> build/lib.linux-x86_64-2.7/astropy/time/tests copying astropy/time/tests/test_basic.py -> build/lib.linux-x86_64-2.7/astropy/time/tests copying astropy/time/tests/test_quantity_interaction.py -> build/lib.linux-x86_64-2.7/astropy/time/tests copying astropy/time/tests/test_pickle.py -> build/lib.linux-x86_64-2.7/astropy/time/tests copying astropy/time/tests/test_corrs.py -> build/lib.linux-x86_64-2.7/astropy/time/tests copying astropy/time/tests/test_precision.py -> build/lib.linux-x86_64-2.7/astropy/time/tests copying astropy/time/tests/test_sidereal.py -> build/lib.linux-x86_64-2.7/astropy/time/tests creating build/lib.linux-x86_64-2.7/astropy/table/tests copying astropy/table/tests/test_array.py -> build/lib.linux-x86_64-2.7/astropy/table/tests copying astropy/table/tests/test_column.py -> build/lib.linux-x86_64-2.7/astropy/table/tests copying astropy/table/tests/__init__.py -> build/lib.linux-x86_64-2.7/astropy/table/tests copying astropy/table/tests/test_np_utils.py -> build/lib.linux-x86_64-2.7/astropy/table/tests copying astropy/table/tests/test_mixin.py -> build/lib.linux-x86_64-2.7/astropy/table/tests copying astropy/table/tests/test_jsviewer.py -> build/lib.linux-x86_64-2.7/astropy/table/tests copying astropy/table/tests/test_row.py -> build/lib.linux-x86_64-2.7/astropy/table/tests copying astropy/table/tests/test_bst.py -> build/lib.linux-x86_64-2.7/astropy/table/tests copying astropy/table/tests/test_init_table.py -> build/lib.linux-x86_64-2.7/astropy/table/tests copying astropy/table/tests/test_masked.py -> build/lib.linux-x86_64-2.7/astropy/table/tests copying astropy/table/tests/test_pickle.py -> build/lib.linux-x86_64-2.7/astropy/table/tests copying astropy/table/tests/conftest.py -> build/lib.linux-x86_64-2.7/astropy/table/tests copying astropy/table/tests/test_index.py -> build/lib.linux-x86_64-2.7/astropy/table/tests copying astropy/table/tests/test_operations.py -> build/lib.linux-x86_64-2.7/astropy/table/tests copying astropy/table/tests/test_subclass.py -> build/lib.linux-x86_64-2.7/astropy/table/tests copying astropy/table/tests/test_info.py -> build/lib.linux-x86_64-2.7/astropy/table/tests copying astropy/table/tests/test_groups.py -> build/lib.linux-x86_64-2.7/astropy/table/tests copying astropy/table/tests/test_pprint.py -> build/lib.linux-x86_64-2.7/astropy/table/tests copying astropy/table/tests/test_table.py -> build/lib.linux-x86_64-2.7/astropy/table/tests copying astropy/table/tests/test_item_access.py -> build/lib.linux-x86_64-2.7/astropy/table/tests creating build/lib.linux-x86_64-2.7/astropy/constants/tests copying astropy/constants/tests/__init__.py -> build/lib.linux-x86_64-2.7/astropy/constants/tests copying astropy/constants/tests/test_constant.py -> build/lib.linux-x86_64-2.7/astropy/constants/tests copying astropy/constants/tests/test_prior_version.py -> build/lib.linux-x86_64-2.7/astropy/constants/tests copying astropy/constants/tests/test_pickle.py -> build/lib.linux-x86_64-2.7/astropy/constants/tests creating build/lib.linux-x86_64-2.7/astropy/tests/tests copying astropy/tests/tests/test_open_file_detection.py -> build/lib.linux-x86_64-2.7/astropy/tests/tests copying astropy/tests/tests/__init__.py -> build/lib.linux-x86_64-2.7/astropy/tests/tests copying astropy/tests/tests/test_runner.py -> build/lib.linux-x86_64-2.7/astropy/tests/tests copying astropy/tests/tests/test_skip_remote_data.py -> build/lib.linux-x86_64-2.7/astropy/tests/tests copying astropy/tests/tests/test_run_tests.py -> build/lib.linux-x86_64-2.7/astropy/tests/tests copying astropy/tests/tests/test_socketblocker.py -> build/lib.linux-x86_64-2.7/astropy/tests/tests copying astropy/tests/tests/test_quantity_helpers.py -> build/lib.linux-x86_64-2.7/astropy/tests/tests copying astropy/tests/tests/test_imports.py -> build/lib.linux-x86_64-2.7/astropy/tests/tests creating build/lib.linux-x86_64-2.7/astropy/cosmology/tests copying astropy/cosmology/tests/__init__.py -> build/lib.linux-x86_64-2.7/astropy/cosmology/tests copying astropy/cosmology/tests/test_cosmology.py -> build/lib.linux-x86_64-2.7/astropy/cosmology/tests copying astropy/cosmology/tests/test_pickle.py -> build/lib.linux-x86_64-2.7/astropy/cosmology/tests creating build/lib.linux-x86_64-2.7/astropy/modeling/tests copying astropy/modeling/tests/test_core.py -> build/lib.linux-x86_64-2.7/astropy/modeling/tests copying astropy/modeling/tests/test_models.py -> build/lib.linux-x86_64-2.7/astropy/modeling/tests copying astropy/modeling/tests/__init__.py -> build/lib.linux-x86_64-2.7/astropy/modeling/tests copying astropy/modeling/tests/test_quantities_fitting.py -> build/lib.linux-x86_64-2.7/astropy/modeling/tests copying astropy/modeling/tests/test_fitters.py -> build/lib.linux-x86_64-2.7/astropy/modeling/tests copying astropy/modeling/tests/test_projections.py -> build/lib.linux-x86_64-2.7/astropy/modeling/tests copying astropy/modeling/tests/test_mappings.py -> build/lib.linux-x86_64-2.7/astropy/modeling/tests copying astropy/modeling/tests/test_compound.py -> build/lib.linux-x86_64-2.7/astropy/modeling/tests copying astropy/modeling/tests/test_models_quantities.py -> build/lib.linux-x86_64-2.7/astropy/modeling/tests copying astropy/modeling/tests/test_blackbody.py -> build/lib.linux-x86_64-2.7/astropy/modeling/tests copying astropy/modeling/tests/test_quantities_model.py -> build/lib.linux-x86_64-2.7/astropy/modeling/tests copying astropy/modeling/tests/test_polynomial.py -> build/lib.linux-x86_64-2.7/astropy/modeling/tests copying astropy/modeling/tests/test_quantities_parameters.py -> build/lib.linux-x86_64-2.7/astropy/modeling/tests copying astropy/modeling/tests/example_models.py -> build/lib.linux-x86_64-2.7/astropy/modeling/tests copying astropy/modeling/tests/test_input.py -> build/lib.linux-x86_64-2.7/astropy/modeling/tests copying astropy/modeling/tests/test_rotations.py -> build/lib.linux-x86_64-2.7/astropy/modeling/tests copying astropy/modeling/tests/test_utils.py -> build/lib.linux-x86_64-2.7/astropy/modeling/tests copying astropy/modeling/tests/test_parameters.py -> build/lib.linux-x86_64-2.7/astropy/modeling/tests copying astropy/modeling/tests/utils.py -> build/lib.linux-x86_64-2.7/astropy/modeling/tests copying astropy/modeling/tests/test_quantities_rotations.py -> build/lib.linux-x86_64-2.7/astropy/modeling/tests copying astropy/modeling/tests/test_quantities_evaluation.py -> build/lib.linux-x86_64-2.7/astropy/modeling/tests copying astropy/modeling/tests/irafutil.py -> build/lib.linux-x86_64-2.7/astropy/modeling/tests copying astropy/modeling/tests/test_constraints.py -> build/lib.linux-x86_64-2.7/astropy/modeling/tests copying astropy/modeling/tests/test_functional_models.py -> build/lib.linux-x86_64-2.7/astropy/modeling/tests creating build/lib.linux-x86_64-2.7/astropy/modeling/tests/data copying astropy/modeling/tests/data/__init__.py -> build/lib.linux-x86_64-2.7/astropy/modeling/tests/data creating build/lib.linux-x86_64-2.7/astropy/samp/tests copying astropy/samp/tests/test_client.py -> build/lib.linux-x86_64-2.7/astropy/samp/tests copying astropy/samp/tests/test_helpers.py -> build/lib.linux-x86_64-2.7/astropy/samp/tests copying astropy/samp/tests/__init__.py -> build/lib.linux-x86_64-2.7/astropy/samp/tests copying astropy/samp/tests/test_hub.py -> build/lib.linux-x86_64-2.7/astropy/samp/tests copying astropy/samp/tests/test_hub_script.py -> build/lib.linux-x86_64-2.7/astropy/samp/tests copying astropy/samp/tests/test_errors.py -> build/lib.linux-x86_64-2.7/astropy/samp/tests copying astropy/samp/tests/web_profile_test_helpers.py -> build/lib.linux-x86_64-2.7/astropy/samp/tests copying astropy/samp/tests/test_web_profile.py -> build/lib.linux-x86_64-2.7/astropy/samp/tests copying astropy/samp/tests/test_standard_profile.py -> build/lib.linux-x86_64-2.7/astropy/samp/tests copying astropy/samp/tests/test_hub_proxy.py -> build/lib.linux-x86_64-2.7/astropy/samp/tests creating build/lib.linux-x86_64-2.7/astropy/visualization/wcsaxes copying astropy/visualization/wcsaxes/core.py -> build/lib.linux-x86_64-2.7/astropy/visualization/wcsaxes copying astropy/visualization/wcsaxes/axislabels.py -> build/lib.linux-x86_64-2.7/astropy/visualization/wcsaxes copying astropy/visualization/wcsaxes/coordinate_helpers.py -> build/lib.linux-x86_64-2.7/astropy/visualization/wcsaxes copying astropy/visualization/wcsaxes/__init__.py -> build/lib.linux-x86_64-2.7/astropy/visualization/wcsaxes copying astropy/visualization/wcsaxes/coordinates_map.py -> build/lib.linux-x86_64-2.7/astropy/visualization/wcsaxes copying astropy/visualization/wcsaxes/ticks.py -> build/lib.linux-x86_64-2.7/astropy/visualization/wcsaxes copying astropy/visualization/wcsaxes/frame.py -> build/lib.linux-x86_64-2.7/astropy/visualization/wcsaxes copying astropy/visualization/wcsaxes/coordinate_range.py -> build/lib.linux-x86_64-2.7/astropy/visualization/wcsaxes copying astropy/visualization/wcsaxes/patches.py -> build/lib.linux-x86_64-2.7/astropy/visualization/wcsaxes copying astropy/visualization/wcsaxes/ticklabels.py -> build/lib.linux-x86_64-2.7/astropy/visualization/wcsaxes copying astropy/visualization/wcsaxes/grid_paths.py -> build/lib.linux-x86_64-2.7/astropy/visualization/wcsaxes copying astropy/visualization/wcsaxes/formatter_locator.py -> build/lib.linux-x86_64-2.7/astropy/visualization/wcsaxes copying astropy/visualization/wcsaxes/utils.py -> build/lib.linux-x86_64-2.7/astropy/visualization/wcsaxes copying astropy/visualization/wcsaxes/transforms.py -> build/lib.linux-x86_64-2.7/astropy/visualization/wcsaxes creating build/lib.linux-x86_64-2.7/astropy/visualization/scripts copying astropy/visualization/scripts/__init__.py -> build/lib.linux-x86_64-2.7/astropy/visualization/scripts copying astropy/visualization/scripts/fits2bitmap.py -> build/lib.linux-x86_64-2.7/astropy/visualization/scripts creating build/lib.linux-x86_64-2.7/astropy/visualization/tests copying astropy/visualization/tests/test_norm.py -> build/lib.linux-x86_64-2.7/astropy/visualization/tests copying astropy/visualization/tests/test_interval.py -> build/lib.linux-x86_64-2.7/astropy/visualization/tests copying astropy/visualization/tests/test_lupton_rgb.py -> build/lib.linux-x86_64-2.7/astropy/visualization/tests copying astropy/visualization/tests/__init__.py -> build/lib.linux-x86_64-2.7/astropy/visualization/tests copying astropy/visualization/tests/test_units.py -> build/lib.linux-x86_64-2.7/astropy/visualization/tests copying astropy/visualization/tests/test_stretch.py -> build/lib.linux-x86_64-2.7/astropy/visualization/tests copying astropy/visualization/tests/test_histogram.py -> build/lib.linux-x86_64-2.7/astropy/visualization/tests creating build/lib.linux-x86_64-2.7/astropy/visualization/wcsaxes/tests copying astropy/visualization/wcsaxes/tests/datasets.py -> build/lib.linux-x86_64-2.7/astropy/visualization/wcsaxes/tests copying astropy/visualization/wcsaxes/tests/test_coordinate_helpers.py -> build/lib.linux-x86_64-2.7/astropy/visualization/wcsaxes/tests copying astropy/visualization/wcsaxes/tests/__init__.py -> build/lib.linux-x86_64-2.7/astropy/visualization/wcsaxes/tests copying astropy/visualization/wcsaxes/tests/test_transform_coord_meta.py -> build/lib.linux-x86_64-2.7/astropy/visualization/wcsaxes/tests copying astropy/visualization/wcsaxes/tests/test_frame.py -> build/lib.linux-x86_64-2.7/astropy/visualization/wcsaxes/tests copying astropy/visualization/wcsaxes/tests/test_transforms.py -> build/lib.linux-x86_64-2.7/astropy/visualization/wcsaxes/tests copying astropy/visualization/wcsaxes/tests/test_display_world_coordinates.py -> build/lib.linux-x86_64-2.7/astropy/visualization/wcsaxes/tests copying astropy/visualization/wcsaxes/tests/test_images.py -> build/lib.linux-x86_64-2.7/astropy/visualization/wcsaxes/tests copying astropy/visualization/wcsaxes/tests/test_utils.py -> build/lib.linux-x86_64-2.7/astropy/visualization/wcsaxes/tests copying astropy/visualization/wcsaxes/tests/setup_package.py -> build/lib.linux-x86_64-2.7/astropy/visualization/wcsaxes/tests copying astropy/visualization/wcsaxes/tests/test_misc.py -> build/lib.linux-x86_64-2.7/astropy/visualization/wcsaxes/tests copying astropy/visualization/wcsaxes/tests/test_formatter_locator.py -> build/lib.linux-x86_64-2.7/astropy/visualization/wcsaxes/tests creating build/lib.linux-x86_64-2.7/astropy/visualization/scripts/tests copying astropy/visualization/scripts/tests/__init__.py -> build/lib.linux-x86_64-2.7/astropy/visualization/scripts/tests copying astropy/visualization/scripts/tests/test_fits2bitmap.py -> build/lib.linux-x86_64-2.7/astropy/visualization/scripts/tests creating build/lib.linux-x86_64-2.7/astropy/convolution/tests copying astropy/convolution/tests/__init__.py -> build/lib.linux-x86_64-2.7/astropy/convolution/tests copying astropy/convolution/tests/test_kernel_class.py -> build/lib.linux-x86_64-2.7/astropy/convolution/tests copying astropy/convolution/tests/test_convolve_fft.py -> build/lib.linux-x86_64-2.7/astropy/convolution/tests copying astropy/convolution/tests/test_convolve.py -> build/lib.linux-x86_64-2.7/astropy/convolution/tests copying astropy/convolution/tests/test_convolve_kernels.py -> build/lib.linux-x86_64-2.7/astropy/convolution/tests copying astropy/convolution/tests/test_pickle.py -> build/lib.linux-x86_64-2.7/astropy/convolution/tests copying astropy/convolution/tests/test_discretize.py -> build/lib.linux-x86_64-2.7/astropy/convolution/tests copying astropy/convolution/tests/test_convolve_nddata.py -> build/lib.linux-x86_64-2.7/astropy/convolution/tests copying astropy/convolution/tests/test_convolve_models.py -> build/lib.linux-x86_64-2.7/astropy/convolution/tests copying astropy/convolution/tests/test_convolve_speeds.py -> build/lib.linux-x86_64-2.7/astropy/convolution/tests creating build/lib.linux-x86_64-2.7/astropy/units/format copying astropy/units/format/ogip_lextab.py -> build/lib.linux-x86_64-2.7/astropy/units/format copying astropy/units/format/cds.py -> build/lib.linux-x86_64-2.7/astropy/units/format copying astropy/units/format/generic_lextab.py -> build/lib.linux-x86_64-2.7/astropy/units/format copying astropy/units/format/fits.py -> build/lib.linux-x86_64-2.7/astropy/units/format copying astropy/units/format/ogip_parsetab.py -> build/lib.linux-x86_64-2.7/astropy/units/format copying astropy/units/format/__init__.py -> build/lib.linux-x86_64-2.7/astropy/units/format copying astropy/units/format/generic_parsetab.py -> build/lib.linux-x86_64-2.7/astropy/units/format copying astropy/units/format/ogip.py -> build/lib.linux-x86_64-2.7/astropy/units/format copying astropy/units/format/cds_parsetab.py -> build/lib.linux-x86_64-2.7/astropy/units/format copying astropy/units/format/unicode_format.py -> build/lib.linux-x86_64-2.7/astropy/units/format copying astropy/units/format/cds_lextab.py -> build/lib.linux-x86_64-2.7/astropy/units/format copying astropy/units/format/console.py -> build/lib.linux-x86_64-2.7/astropy/units/format copying astropy/units/format/vounit.py -> build/lib.linux-x86_64-2.7/astropy/units/format copying astropy/units/format/utils.py -> build/lib.linux-x86_64-2.7/astropy/units/format copying astropy/units/format/latex.py -> build/lib.linux-x86_64-2.7/astropy/units/format copying astropy/units/format/generic.py -> build/lib.linux-x86_64-2.7/astropy/units/format copying astropy/units/format/base.py -> build/lib.linux-x86_64-2.7/astropy/units/format creating build/lib.linux-x86_64-2.7/astropy/units/tests copying astropy/units/tests/test_quantity_array_methods.py -> build/lib.linux-x86_64-2.7/astropy/units/tests copying astropy/units/tests/py3_test_quantity_annotations.py -> build/lib.linux-x86_64-2.7/astropy/units/tests copying astropy/units/tests/test_quantity_ufuncs.py -> build/lib.linux-x86_64-2.7/astropy/units/tests copying astropy/units/tests/__init__.py -> build/lib.linux-x86_64-2.7/astropy/units/tests copying astropy/units/tests/test_units.py -> build/lib.linux-x86_64-2.7/astropy/units/tests copying astropy/units/tests/test_quantity.py -> build/lib.linux-x86_64-2.7/astropy/units/tests copying astropy/units/tests/test_format.py -> build/lib.linux-x86_64-2.7/astropy/units/tests copying astropy/units/tests/test_quantity_decorator.py -> build/lib.linux-x86_64-2.7/astropy/units/tests copying astropy/units/tests/test_equivalencies.py -> build/lib.linux-x86_64-2.7/astropy/units/tests copying astropy/units/tests/test_physical.py -> build/lib.linux-x86_64-2.7/astropy/units/tests copying astropy/units/tests/test_deprecated.py -> build/lib.linux-x86_64-2.7/astropy/units/tests copying astropy/units/tests/test_logarithmic.py -> build/lib.linux-x86_64-2.7/astropy/units/tests copying astropy/units/tests/test_quantity_non_ufuncs.py -> build/lib.linux-x86_64-2.7/astropy/units/tests creating build/lib.linux-x86_64-2.7/astropy/units/function copying astropy/units/function/core.py -> build/lib.linux-x86_64-2.7/astropy/units/function copying astropy/units/function/logarithmic.py -> build/lib.linux-x86_64-2.7/astropy/units/function copying astropy/units/function/mixin.py -> build/lib.linux-x86_64-2.7/astropy/units/function copying astropy/units/function/__init__.py -> build/lib.linux-x86_64-2.7/astropy/units/function copying astropy/units/function/units.py -> build/lib.linux-x86_64-2.7/astropy/units/function copying astropy/units/function/magnitude_zero_points.py -> build/lib.linux-x86_64-2.7/astropy/units/function creating build/lib.linux-x86_64-2.7/astropy/extern/bundled copying astropy/extern/bundled/six.py -> build/lib.linux-x86_64-2.7/astropy/extern/bundled copying astropy/extern/bundled/__init__.py -> build/lib.linux-x86_64-2.7/astropy/extern/bundled creating build/lib.linux-x86_64-2.7/astropy/coordinates/tests copying astropy/coordinates/tests/test_sky_coord.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/tests copying astropy/coordinates/tests/test_funcs.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/tests copying astropy/coordinates/tests/test_matrix_utilities.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/tests copying astropy/coordinates/tests/test_representation_methods.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/tests copying astropy/coordinates/tests/test_skyoffset_transformations.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/tests copying astropy/coordinates/tests/test_matching.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/tests copying astropy/coordinates/tests/test_regression.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/tests copying astropy/coordinates/tests/test_angular_separation.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/tests copying astropy/coordinates/tests/test_transformations.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/tests copying astropy/coordinates/tests/test_api_ape5.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/tests copying astropy/coordinates/tests/test_unit_representation.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/tests copying astropy/coordinates/tests/__init__.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/tests copying astropy/coordinates/tests/test_velocity_corrs.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/tests copying astropy/coordinates/tests/test_arrays.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/tests copying astropy/coordinates/tests/test_representation_arithmetic.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/tests copying astropy/coordinates/tests/test_formatting.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/tests copying astropy/coordinates/tests/test_frames.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/tests copying astropy/coordinates/tests/test_earth.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/tests copying astropy/coordinates/tests/test_solar_system.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/tests copying astropy/coordinates/tests/test_finite_difference_velocities.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/tests copying astropy/coordinates/tests/test_celestial_transformations.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/tests copying astropy/coordinates/tests/test_iau_fullstack.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/tests copying astropy/coordinates/tests/test_intermediate_transformations.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/tests copying astropy/coordinates/tests/test_sites.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/tests copying astropy/coordinates/tests/test_representation.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/tests copying astropy/coordinates/tests/test_distance.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/tests copying astropy/coordinates/tests/test_pickle.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/tests copying astropy/coordinates/tests/test_atc_replacements.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/tests copying astropy/coordinates/tests/test_shape_manipulation.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/tests copying astropy/coordinates/tests/utils.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/tests copying astropy/coordinates/tests/test_frames_with_velocity.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/tests copying astropy/coordinates/tests/test_name_resolve.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/tests copying astropy/coordinates/tests/test_angles.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/tests creating build/lib.linux-x86_64-2.7/astropy/coordinates/builtin_frames copying astropy/coordinates/builtin_frames/hcrs.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/builtin_frames copying astropy/coordinates/builtin_frames/galactic_transforms.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/builtin_frames copying astropy/coordinates/builtin_frames/skyoffset.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/builtin_frames copying astropy/coordinates/builtin_frames/ecliptic.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/builtin_frames copying astropy/coordinates/builtin_frames/lsr.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/builtin_frames copying astropy/coordinates/builtin_frames/galactocentric.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/builtin_frames copying astropy/coordinates/builtin_frames/__init__.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/builtin_frames copying astropy/coordinates/builtin_frames/icrs_cirs_transforms.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/builtin_frames copying astropy/coordinates/builtin_frames/fk5.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/builtin_frames copying astropy/coordinates/builtin_frames/galactic.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/builtin_frames copying astropy/coordinates/builtin_frames/gcrs.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/builtin_frames copying astropy/coordinates/builtin_frames/altaz.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/builtin_frames copying astropy/coordinates/builtin_frames/ecliptic_transforms.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/builtin_frames copying astropy/coordinates/builtin_frames/cirs_observed_transforms.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/builtin_frames copying astropy/coordinates/builtin_frames/supergalactic_transforms.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/builtin_frames copying astropy/coordinates/builtin_frames/fk4.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/builtin_frames copying astropy/coordinates/builtin_frames/fk4_fk5_transforms.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/builtin_frames copying astropy/coordinates/builtin_frames/cirs.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/builtin_frames copying astropy/coordinates/builtin_frames/utils.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/builtin_frames copying astropy/coordinates/builtin_frames/baseradec.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/builtin_frames copying astropy/coordinates/builtin_frames/supergalactic.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/builtin_frames copying astropy/coordinates/builtin_frames/icrs_fk5_transforms.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/builtin_frames copying astropy/coordinates/builtin_frames/itrs.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/builtin_frames copying astropy/coordinates/builtin_frames/intermediate_rotation_transforms.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/builtin_frames copying astropy/coordinates/builtin_frames/icrs.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/builtin_frames creating build/lib.linux-x86_64-2.7/astropy/coordinates/tests/accuracy copying astropy/coordinates/tests/accuracy/test_galactic_fk4.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/tests/accuracy copying astropy/coordinates/tests/accuracy/__init__.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/tests/accuracy copying astropy/coordinates/tests/accuracy/test_fk4_no_e_fk4.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/tests/accuracy copying astropy/coordinates/tests/accuracy/generate_ref_ast.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/tests/accuracy copying astropy/coordinates/tests/accuracy/test_altaz_icrs.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/tests/accuracy copying astropy/coordinates/tests/accuracy/test_ecliptic.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/tests/accuracy copying astropy/coordinates/tests/accuracy/test_icrs_fk5.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/tests/accuracy copying astropy/coordinates/tests/accuracy/test_fk4_no_e_fk5.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/tests/accuracy creating build/lib.linux-x86_64-2.7/astropy/io/misc copying astropy/io/misc/connect.py -> build/lib.linux-x86_64-2.7/astropy/io/misc copying astropy/io/misc/__init__.py -> build/lib.linux-x86_64-2.7/astropy/io/misc copying astropy/io/misc/pickle_helpers.py -> build/lib.linux-x86_64-2.7/astropy/io/misc copying astropy/io/misc/yaml.py -> build/lib.linux-x86_64-2.7/astropy/io/misc copying astropy/io/misc/hdf5.py -> build/lib.linux-x86_64-2.7/astropy/io/misc creating build/lib.linux-x86_64-2.7/astropy/io/ascii copying astropy/io/ascii/fixedwidth.py -> build/lib.linux-x86_64-2.7/astropy/io/ascii copying astropy/io/ascii/core.py -> build/lib.linux-x86_64-2.7/astropy/io/ascii copying astropy/io/ascii/cds.py -> build/lib.linux-x86_64-2.7/astropy/io/ascii copying astropy/io/ascii/html.py -> build/lib.linux-x86_64-2.7/astropy/io/ascii copying astropy/io/ascii/connect.py -> build/lib.linux-x86_64-2.7/astropy/io/ascii copying astropy/io/ascii/__init__.py -> build/lib.linux-x86_64-2.7/astropy/io/ascii copying astropy/io/ascii/daophot.py -> build/lib.linux-x86_64-2.7/astropy/io/ascii copying astropy/io/ascii/ipac.py -> build/lib.linux-x86_64-2.7/astropy/io/ascii copying astropy/io/ascii/ecsv.py -> build/lib.linux-x86_64-2.7/astropy/io/ascii copying astropy/io/ascii/sextractor.py -> build/lib.linux-x86_64-2.7/astropy/io/ascii copying astropy/io/ascii/setup_package.py -> build/lib.linux-x86_64-2.7/astropy/io/ascii copying astropy/io/ascii/latex.py -> build/lib.linux-x86_64-2.7/astropy/io/ascii copying astropy/io/ascii/misc.py -> build/lib.linux-x86_64-2.7/astropy/io/ascii copying astropy/io/ascii/fastbasic.py -> build/lib.linux-x86_64-2.7/astropy/io/ascii copying astropy/io/ascii/basic.py -> build/lib.linux-x86_64-2.7/astropy/io/ascii copying astropy/io/ascii/rst.py -> build/lib.linux-x86_64-2.7/astropy/io/ascii copying astropy/io/ascii/ui.py -> build/lib.linux-x86_64-2.7/astropy/io/ascii creating build/lib.linux-x86_64-2.7/astropy/io/tests copying astropy/io/tests/test_registry.py -> build/lib.linux-x86_64-2.7/astropy/io/tests copying astropy/io/tests/__init__.py -> build/lib.linux-x86_64-2.7/astropy/io/tests creating build/lib.linux-x86_64-2.7/astropy/io/votable copying astropy/io/votable/tree.py -> build/lib.linux-x86_64-2.7/astropy/io/votable copying astropy/io/votable/table.py -> build/lib.linux-x86_64-2.7/astropy/io/votable copying astropy/io/votable/volint.py -> build/lib.linux-x86_64-2.7/astropy/io/votable copying astropy/io/votable/xmlutil.py -> build/lib.linux-x86_64-2.7/astropy/io/votable copying astropy/io/votable/connect.py -> build/lib.linux-x86_64-2.7/astropy/io/votable copying astropy/io/votable/__init__.py -> build/lib.linux-x86_64-2.7/astropy/io/votable copying astropy/io/votable/ucd.py -> build/lib.linux-x86_64-2.7/astropy/io/votable copying astropy/io/votable/exceptions.py -> build/lib.linux-x86_64-2.7/astropy/io/votable copying astropy/io/votable/setup_package.py -> build/lib.linux-x86_64-2.7/astropy/io/votable copying astropy/io/votable/util.py -> build/lib.linux-x86_64-2.7/astropy/io/votable copying astropy/io/votable/converters.py -> build/lib.linux-x86_64-2.7/astropy/io/votable creating build/lib.linux-x86_64-2.7/astropy/io/fits copying astropy/io/fits/fitsrec.py -> build/lib.linux-x86_64-2.7/astropy/io/fits copying astropy/io/fits/file.py -> build/lib.linux-x86_64-2.7/astropy/io/fits copying astropy/io/fits/verify.py -> build/lib.linux-x86_64-2.7/astropy/io/fits copying astropy/io/fits/convenience.py -> build/lib.linux-x86_64-2.7/astropy/io/fits copying astropy/io/fits/connect.py -> build/lib.linux-x86_64-2.7/astropy/io/fits copying astropy/io/fits/__init__.py -> build/lib.linux-x86_64-2.7/astropy/io/fits copying astropy/io/fits/diff.py -> build/lib.linux-x86_64-2.7/astropy/io/fits copying astropy/io/fits/column.py -> build/lib.linux-x86_64-2.7/astropy/io/fits copying astropy/io/fits/card.py -> build/lib.linux-x86_64-2.7/astropy/io/fits copying astropy/io/fits/setup_package.py -> build/lib.linux-x86_64-2.7/astropy/io/fits copying astropy/io/fits/util.py -> build/lib.linux-x86_64-2.7/astropy/io/fits copying astropy/io/fits/py3compat.py -> build/lib.linux-x86_64-2.7/astropy/io/fits copying astropy/io/fits/_numpy_hacks.py -> build/lib.linux-x86_64-2.7/astropy/io/fits copying astropy/io/fits/header.py -> build/lib.linux-x86_64-2.7/astropy/io/fits creating build/lib.linux-x86_64-2.7/astropy/io/misc/tests copying astropy/io/misc/tests/test_hdf5.py -> build/lib.linux-x86_64-2.7/astropy/io/misc/tests copying astropy/io/misc/tests/__init__.py -> build/lib.linux-x86_64-2.7/astropy/io/misc/tests copying astropy/io/misc/tests/test_yaml.py -> build/lib.linux-x86_64-2.7/astropy/io/misc/tests copying astropy/io/misc/tests/test_pickle_helpers.py -> build/lib.linux-x86_64-2.7/astropy/io/misc/tests creating build/lib.linux-x86_64-2.7/astropy/io/ascii/tests copying astropy/io/ascii/tests/test_html.py -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests copying astropy/io/ascii/tests/test_c_reader.py -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests copying astropy/io/ascii/tests/test_connect.py -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests copying astropy/io/ascii/tests/test_fixedwidth.py -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests copying astropy/io/ascii/tests/test_ecsv.py -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests copying astropy/io/ascii/tests/test_read.py -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests copying astropy/io/ascii/tests/test_write.py -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests copying astropy/io/ascii/tests/__init__.py -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests copying astropy/io/ascii/tests/common.py -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests copying astropy/io/ascii/tests/test_cds_header_from_readme.py -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests copying astropy/io/ascii/tests/test_compressed.py -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests copying astropy/io/ascii/tests/test_rst.py -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests copying astropy/io/ascii/tests/test_types.py -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests copying astropy/io/ascii/tests/test_ipac_definitions.py -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests creating build/lib.linux-x86_64-2.7/astropy/io/votable/tests copying astropy/io/votable/tests/exception_test.py -> build/lib.linux-x86_64-2.7/astropy/io/votable/tests copying astropy/io/votable/tests/util_test.py -> build/lib.linux-x86_64-2.7/astropy/io/votable/tests copying astropy/io/votable/tests/__init__.py -> build/lib.linux-x86_64-2.7/astropy/io/votable/tests copying astropy/io/votable/tests/tree_test.py -> build/lib.linux-x86_64-2.7/astropy/io/votable/tests copying astropy/io/votable/tests/ucd_test.py -> build/lib.linux-x86_64-2.7/astropy/io/votable/tests copying astropy/io/votable/tests/converter_test.py -> build/lib.linux-x86_64-2.7/astropy/io/votable/tests copying astropy/io/votable/tests/vo_test.py -> build/lib.linux-x86_64-2.7/astropy/io/votable/tests copying astropy/io/votable/tests/table_test.py -> build/lib.linux-x86_64-2.7/astropy/io/votable/tests creating build/lib.linux-x86_64-2.7/astropy/io/votable/validator copying astropy/io/votable/validator/html.py -> build/lib.linux-x86_64-2.7/astropy/io/votable/validator copying astropy/io/votable/validator/result.py -> build/lib.linux-x86_64-2.7/astropy/io/votable/validator copying astropy/io/votable/validator/__init__.py -> build/lib.linux-x86_64-2.7/astropy/io/votable/validator copying astropy/io/votable/validator/main.py -> build/lib.linux-x86_64-2.7/astropy/io/votable/validator creating build/lib.linux-x86_64-2.7/astropy/io/fits/hdu copying astropy/io/fits/hdu/table.py -> build/lib.linux-x86_64-2.7/astropy/io/fits/hdu copying astropy/io/fits/hdu/__init__.py -> build/lib.linux-x86_64-2.7/astropy/io/fits/hdu copying astropy/io/fits/hdu/groups.py -> build/lib.linux-x86_64-2.7/astropy/io/fits/hdu copying astropy/io/fits/hdu/compressed.py -> build/lib.linux-x86_64-2.7/astropy/io/fits/hdu copying astropy/io/fits/hdu/hdulist.py -> build/lib.linux-x86_64-2.7/astropy/io/fits/hdu copying astropy/io/fits/hdu/image.py -> build/lib.linux-x86_64-2.7/astropy/io/fits/hdu copying astropy/io/fits/hdu/nonstandard.py -> build/lib.linux-x86_64-2.7/astropy/io/fits/hdu copying astropy/io/fits/hdu/streaming.py -> build/lib.linux-x86_64-2.7/astropy/io/fits/hdu copying astropy/io/fits/hdu/base.py -> build/lib.linux-x86_64-2.7/astropy/io/fits/hdu creating build/lib.linux-x86_64-2.7/astropy/io/fits/scripts copying astropy/io/fits/scripts/__init__.py -> build/lib.linux-x86_64-2.7/astropy/io/fits/scripts copying astropy/io/fits/scripts/fitsdiff.py -> build/lib.linux-x86_64-2.7/astropy/io/fits/scripts copying astropy/io/fits/scripts/fitsheader.py -> build/lib.linux-x86_64-2.7/astropy/io/fits/scripts copying astropy/io/fits/scripts/fitsinfo.py -> build/lib.linux-x86_64-2.7/astropy/io/fits/scripts copying astropy/io/fits/scripts/fitscheck.py -> build/lib.linux-x86_64-2.7/astropy/io/fits/scripts creating build/lib.linux-x86_64-2.7/astropy/io/fits/tests copying astropy/io/fits/tests/test_core.py -> build/lib.linux-x86_64-2.7/astropy/io/fits/tests copying astropy/io/fits/tests/test_division.py -> build/lib.linux-x86_64-2.7/astropy/io/fits/tests copying astropy/io/fits/tests/test_connect.py -> build/lib.linux-x86_64-2.7/astropy/io/fits/tests copying astropy/io/fits/tests/test_nonstandard.py -> build/lib.linux-x86_64-2.7/astropy/io/fits/tests copying astropy/io/fits/tests/test_hdulist.py -> build/lib.linux-x86_64-2.7/astropy/io/fits/tests copying astropy/io/fits/tests/__init__.py -> build/lib.linux-x86_64-2.7/astropy/io/fits/tests copying astropy/io/fits/tests/test_structured.py -> build/lib.linux-x86_64-2.7/astropy/io/fits/tests copying astropy/io/fits/tests/test_image.py -> build/lib.linux-x86_64-2.7/astropy/io/fits/tests copying astropy/io/fits/tests/test_util.py -> build/lib.linux-x86_64-2.7/astropy/io/fits/tests copying astropy/io/fits/tests/test_checksum.py -> build/lib.linux-x86_64-2.7/astropy/io/fits/tests copying astropy/io/fits/tests/test_convenience.py -> build/lib.linux-x86_64-2.7/astropy/io/fits/tests copying astropy/io/fits/tests/test_header.py -> build/lib.linux-x86_64-2.7/astropy/io/fits/tests copying astropy/io/fits/tests/test_uint.py -> build/lib.linux-x86_64-2.7/astropy/io/fits/tests copying astropy/io/fits/tests/test_groups.py -> build/lib.linux-x86_64-2.7/astropy/io/fits/tests copying astropy/io/fits/tests/test_diff.py -> build/lib.linux-x86_64-2.7/astropy/io/fits/tests copying astropy/io/fits/tests/test_table.py -> build/lib.linux-x86_64-2.7/astropy/io/fits/tests copying astropy/io/fits/tests/test_fitsdiff.py -> build/lib.linux-x86_64-2.7/astropy/io/fits/tests creating build/lib.linux-x86_64-2.7/astropy/wcs/include creating build/lib.linux-x86_64-2.7/astropy/wcs/include/astropy_wcs copying astropy/wcs/include/astropy_wcs/astropy_wcs.h -> build/lib.linux-x86_64-2.7/astropy/wcs/include/astropy_wcs copying astropy/wcs/include/astropy_wcs/astropy_wcs_api.h -> build/lib.linux-x86_64-2.7/astropy/wcs/include/astropy_wcs copying astropy/wcs/include/astropy_wcs/distortion.h -> build/lib.linux-x86_64-2.7/astropy/wcs/include/astropy_wcs copying astropy/wcs/include/astropy_wcs/isnan.h -> build/lib.linux-x86_64-2.7/astropy/wcs/include/astropy_wcs copying astropy/wcs/include/astropy_wcs/pipeline.h -> build/lib.linux-x86_64-2.7/astropy/wcs/include/astropy_wcs copying astropy/wcs/include/astropy_wcs/pyutil.h -> build/lib.linux-x86_64-2.7/astropy/wcs/include/astropy_wcs copying astropy/wcs/include/astropy_wcs/sip.h -> build/lib.linux-x86_64-2.7/astropy/wcs/include/astropy_wcs copying astropy/wcs/include/astropy_wcs/util.h -> build/lib.linux-x86_64-2.7/astropy/wcs/include/astropy_wcs copying astropy/wcs/include/astropy_wcs_api.h -> build/lib.linux-x86_64-2.7/astropy/wcs/include copying astropy/tests/coveragerc -> build/lib.linux-x86_64-2.7/astropy/tests creating build/lib.linux-x86_64-2.7/astropy/samp/data copying astropy/samp/data/astropy_icon.png -> build/lib.linux-x86_64-2.7/astropy/samp/data copying astropy/samp/data/clientaccesspolicy.xml -> build/lib.linux-x86_64-2.7/astropy/samp/data copying astropy/samp/data/crossdomain.xml -> build/lib.linux-x86_64-2.7/astropy/samp/data creating build/lib.linux-x86_64-2.7/astropy/coordinates/data copying astropy/coordinates/data/constellation_data_roman87.dat -> build/lib.linux-x86_64-2.7/astropy/coordinates/data copying astropy/coordinates/data/constellation_names.dat -> build/lib.linux-x86_64-2.7/astropy/coordinates/data copying astropy/coordinates/data/sites.json -> build/lib.linux-x86_64-2.7/astropy/coordinates/data creating build/lib.linux-x86_64-2.7/astropy/utils/tests/data creating build/lib.linux-x86_64-2.7/astropy/utils/tests/data/test_package copying astropy/utils/tests/data/test_package/__init__.py -> build/lib.linux-x86_64-2.7/astropy/utils/tests/data/test_package creating build/lib.linux-x86_64-2.7/astropy/utils/tests/data/test_package/data copying astropy/utils/tests/data/test_package/data/foo.txt -> build/lib.linux-x86_64-2.7/astropy/utils/tests/data/test_package/data copying astropy/utils/tests/data/local.dat -> build/lib.linux-x86_64-2.7/astropy/utils/tests/data copying astropy/utils/tests/data/unicode.txt -> build/lib.linux-x86_64-2.7/astropy/utils/tests/data copying astropy/utils/tests/data/local.dat.gz -> build/lib.linux-x86_64-2.7/astropy/utils/tests/data copying astropy/utils/tests/data/unicode.txt.gz -> build/lib.linux-x86_64-2.7/astropy/utils/tests/data copying astropy/utils/tests/data/local.dat.bz2 -> build/lib.linux-x86_64-2.7/astropy/utils/tests/data copying astropy/utils/tests/data/unicode.txt.bz2 -> build/lib.linux-x86_64-2.7/astropy/utils/tests/data copying astropy/utils/tests/data/local.dat.xz -> build/lib.linux-x86_64-2.7/astropy/utils/tests/data copying astropy/utils/tests/data/unicode.txt.xz -> build/lib.linux-x86_64-2.7/astropy/utils/tests/data copying astropy/utils/tests/data/.hidden_file.txt -> build/lib.linux-x86_64-2.7/astropy/utils/tests/data copying astropy/utils/tests/data/alias.cfg -> build/lib.linux-x86_64-2.7/astropy/utils/tests/data creating build/lib.linux-x86_64-2.7/astropy/utils/iers/data copying astropy/utils/iers/data/ReadMe.eopc04_IAU2000 -> build/lib.linux-x86_64-2.7/astropy/utils/iers/data copying astropy/utils/iers/data/ReadMe.finals2000A -> build/lib.linux-x86_64-2.7/astropy/utils/iers/data copying astropy/utils/iers/data/eopc04_IAU2000.62-now -> build/lib.linux-x86_64-2.7/astropy/utils/iers/data copying astropy/utils/iers/tests/finals2000A-2016-04-30-test -> build/lib.linux-x86_64-2.7/astropy/utils/iers/tests copying astropy/utils/iers/tests/finals2000A-2016-02-30-test -> build/lib.linux-x86_64-2.7/astropy/utils/iers/tests copying astropy/utils/iers/tests/iers_a_excerpt -> build/lib.linux-x86_64-2.7/astropy/utils/iers/tests creating build/lib.linux-x86_64-2.7/astropy/nddata/tests/data copying astropy/nddata/tests/data/sip-wcs.fits -> build/lib.linux-x86_64-2.7/astropy/nddata/tests/data creating build/lib.linux-x86_64-2.7/astropy/wcs/tests/data copying astropy/wcs/tests/data/outside_sky.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/data copying astropy/wcs/tests/data/tpvonly.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/data copying astropy/wcs/tests/data/unit.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/data copying astropy/wcs/tests/data/sip-broken.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/data copying astropy/wcs/tests/data/sub-segfault.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/data copying astropy/wcs/tests/data/defunct_keywords.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/data copying astropy/wcs/tests/data/3d_cd.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/data copying astropy/wcs/tests/data/zpn-hole.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/data copying astropy/wcs/tests/data/siponly.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/data copying astropy/wcs/tests/data/2wcses.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/data copying astropy/wcs/tests/data/nonstandard_units.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/data copying astropy/wcs/tests/data/irac_sip.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/data copying astropy/wcs/tests/data/invalid_header.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/data copying astropy/wcs/tests/data/locale.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/data copying astropy/wcs/tests/data/too_many_pv.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/data copying astropy/wcs/tests/data/sip.fits -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/data copying astropy/wcs/tests/data/header_newlines.fits -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/data copying astropy/wcs/tests/data/sip2.fits -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/data copying astropy/wcs/tests/data/j94f05bgq_flt.fits -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/data copying astropy/wcs/tests/data/dist.fits -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/data copying astropy/wcs/tests/data/validate.fits -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/data copying astropy/wcs/tests/data/validate.5.13.txt -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/data copying astropy/wcs/tests/data/validate.5.0.txt -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/data copying astropy/wcs/tests/data/validate.txt -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/data copying astropy/wcs/tests/data/dist_lookup.fits.gz -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/data creating build/lib.linux-x86_64-2.7/astropy/wcs/tests/maps copying astropy/wcs/tests/maps/1904-66_QSC.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/maps copying astropy/wcs/tests/maps/1904-66_STG.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/maps copying astropy/wcs/tests/maps/1904-66_ZEA.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/maps copying astropy/wcs/tests/maps/1904-66_MOL.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/maps copying astropy/wcs/tests/maps/1904-66_COP.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/maps copying astropy/wcs/tests/maps/1904-66_SIN.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/maps copying astropy/wcs/tests/maps/1904-66_SZP.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/maps copying astropy/wcs/tests/maps/1904-66_BON.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/maps copying astropy/wcs/tests/maps/1904-66_CEA.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/maps copying astropy/wcs/tests/maps/1904-66_HPX.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/maps copying astropy/wcs/tests/maps/1904-66_COD.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/maps copying astropy/wcs/tests/maps/1904-66_PCO.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/maps copying astropy/wcs/tests/maps/1904-66_ZPN.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/maps copying astropy/wcs/tests/maps/1904-66_TAN.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/maps copying astropy/wcs/tests/maps/1904-66_AIR.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/maps copying astropy/wcs/tests/maps/1904-66_PAR.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/maps copying astropy/wcs/tests/maps/1904-66_NCP.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/maps copying astropy/wcs/tests/maps/1904-66_ARC.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/maps copying astropy/wcs/tests/maps/1904-66_CAR.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/maps copying astropy/wcs/tests/maps/1904-66_COE.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/maps copying astropy/wcs/tests/maps/1904-66_MER.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/maps copying astropy/wcs/tests/maps/1904-66_CSC.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/maps copying astropy/wcs/tests/maps/1904-66_SFL.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/maps copying astropy/wcs/tests/maps/1904-66_AZP.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/maps copying astropy/wcs/tests/maps/1904-66_CYP.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/maps copying astropy/wcs/tests/maps/1904-66_TSC.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/maps copying astropy/wcs/tests/maps/1904-66_COO.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/maps copying astropy/wcs/tests/maps/1904-66_AIT.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/maps creating build/lib.linux-x86_64-2.7/astropy/wcs/tests/spectra copying astropy/wcs/tests/spectra/orion-wave-1.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/spectra copying astropy/wcs/tests/spectra/orion-velo-4.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/spectra copying astropy/wcs/tests/spectra/orion-freq-4.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/spectra copying astropy/wcs/tests/spectra/orion-velo-1.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/spectra copying astropy/wcs/tests/spectra/orion-wave-4.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/spectra copying astropy/wcs/tests/spectra/orion-freq-1.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/spectra copying astropy/wcs/tests/extension/wcsapi_test.c -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/extension creating build/lib.linux-x86_64-2.7/astropy/config/tests/data copying astropy/config/tests/data/alias.cfg -> build/lib.linux-x86_64-2.7/astropy/config/tests/data copying astropy/config/tests/data/astropy.0.3.cfg -> build/lib.linux-x86_64-2.7/astropy/config/tests/data copying astropy/config/tests/data/astropy.0.3.windows.cfg -> build/lib.linux-x86_64-2.7/astropy/config/tests/data copying astropy/config/tests/data/not_empty.cfg -> build/lib.linux-x86_64-2.7/astropy/config/tests/data copying astropy/config/tests/data/deprecated.cfg -> build/lib.linux-x86_64-2.7/astropy/config/tests/data copying astropy/config/tests/data/empty.cfg -> build/lib.linux-x86_64-2.7/astropy/config/tests/data creating build/lib.linux-x86_64-2.7/astropy/vo/validator/data copying astropy/vo/validator/data/conesearch_urls.txt -> build/lib.linux-x86_64-2.7/astropy/vo/validator/data creating build/lib.linux-x86_64-2.7/astropy/vo/validator/tests/data copying astropy/vo/validator/tests/data/conesearch_good.json -> build/lib.linux-x86_64-2.7/astropy/vo/validator/tests/data copying astropy/vo/validator/tests/data/conesearch_warn.json -> build/lib.linux-x86_64-2.7/astropy/vo/validator/tests/data copying astropy/vo/validator/tests/data/conesearch_exception.json -> build/lib.linux-x86_64-2.7/astropy/vo/validator/tests/data copying astropy/vo/validator/tests/data/conesearch_error.json -> build/lib.linux-x86_64-2.7/astropy/vo/validator/tests/data copying astropy/vo/validator/tests/data/vao_conesearch_sites_121107_subset.xml -> build/lib.linux-x86_64-2.7/astropy/vo/validator/tests/data copying astropy/vo/validator/tests/data/listcats1.out -> build/lib.linux-x86_64-2.7/astropy/vo/validator/tests/data copying astropy/vo/validator/tests/data/tally.out -> build/lib.linux-x86_64-2.7/astropy/vo/validator/tests/data copying astropy/vo/validator/tests/data/printcat.out -> build/lib.linux-x86_64-2.7/astropy/vo/validator/tests/data copying astropy/vo/validator/tests/data/listcats2.out -> build/lib.linux-x86_64-2.7/astropy/vo/validator/tests/data creating build/lib.linux-x86_64-2.7/astropy/vo/client/tests/data copying astropy/vo/client/tests/data/conesearch_error2.xml -> build/lib.linux-x86_64-2.7/astropy/vo/client/tests/data copying astropy/vo/client/tests/data/conesearch_error4.xml -> build/lib.linux-x86_64-2.7/astropy/vo/client/tests/data copying astropy/vo/client/tests/data/conesearch_error3.xml -> build/lib.linux-x86_64-2.7/astropy/vo/client/tests/data copying astropy/vo/client/tests/data/conesearch_error1.xml -> build/lib.linux-x86_64-2.7/astropy/vo/client/tests/data copying astropy/vo/client/tests/data/basic.json -> build/lib.linux-x86_64-2.7/astropy/vo/client/tests/data creating build/lib.linux-x86_64-2.7/astropy/tests/tests/data copying astropy/tests/tests/data/open_file_detection.txt -> build/lib.linux-x86_64-2.7/astropy/tests/tests/data copying astropy/modeling/tests/data/idcompspec.fits -> build/lib.linux-x86_64-2.7/astropy/modeling/tests/data copying astropy/modeling/tests/data/1904-66_AZP.fits -> build/lib.linux-x86_64-2.7/astropy/modeling/tests/data copying astropy/modeling/tests/data/hst_sip.hdr -> build/lib.linux-x86_64-2.7/astropy/modeling/tests/data copying astropy/modeling/tests/data/irac_sip.hdr -> build/lib.linux-x86_64-2.7/astropy/modeling/tests/data creating build/lib.linux-x86_64-2.7/astropy/visualization/wcsaxes/tests/data copying astropy/visualization/wcsaxes/tests/data/rosat_header -> build/lib.linux-x86_64-2.7/astropy/visualization/wcsaxes/tests/data copying astropy/visualization/wcsaxes/tests/data/msx_header -> build/lib.linux-x86_64-2.7/astropy/visualization/wcsaxes/tests/data copying astropy/visualization/wcsaxes/tests/data/slice_header -> build/lib.linux-x86_64-2.7/astropy/visualization/wcsaxes/tests/data copying astropy/visualization/wcsaxes/tests/data/cube_header -> build/lib.linux-x86_64-2.7/astropy/visualization/wcsaxes/tests/data copying astropy/visualization/wcsaxes/tests/data/2MASS_k_header -> build/lib.linux-x86_64-2.7/astropy/visualization/wcsaxes/tests/data copying astropy/coordinates/tests/accuracy/galactic_fk4.csv -> build/lib.linux-x86_64-2.7/astropy/coordinates/tests/accuracy copying astropy/coordinates/tests/accuracy/icrs_fk5.csv -> build/lib.linux-x86_64-2.7/astropy/coordinates/tests/accuracy copying astropy/coordinates/tests/accuracy/fk4_no_e_fk5.csv -> build/lib.linux-x86_64-2.7/astropy/coordinates/tests/accuracy copying astropy/coordinates/tests/accuracy/fk4_no_e_fk4.csv -> build/lib.linux-x86_64-2.7/astropy/coordinates/tests/accuracy creating build/lib.linux-x86_64-2.7/astropy/io/votable/data copying astropy/io/votable/data/ucd1p-words.txt -> build/lib.linux-x86_64-2.7/astropy/io/votable/data copying astropy/io/votable/data/VOTable.v1.1.xsd -> build/lib.linux-x86_64-2.7/astropy/io/votable/data copying astropy/io/votable/data/VOTable.v1.3.xsd -> build/lib.linux-x86_64-2.7/astropy/io/votable/data copying astropy/io/votable/data/VOTable.v1.2.xsd -> build/lib.linux-x86_64-2.7/astropy/io/votable/data copying astropy/io/votable/data/VOTable.dtd -> build/lib.linux-x86_64-2.7/astropy/io/votable/data creating build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t creating build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t/vizier copying astropy/io/ascii/tests/t/vizier/ReadMe -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t/vizier copying astropy/io/ascii/tests/t/vizier/table1.dat -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t/vizier copying astropy/io/ascii/tests/t/vizier/table5.dat -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t/vizier copying astropy/io/ascii/tests/t/apostrophe.rdb -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/apostrophe.tab -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/bad.txt -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/bars_at_ends.txt -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/cds.dat -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/cds_malformed.dat -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t creating build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t/cds creating build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t/cds/glob copying astropy/io/ascii/tests/t/cds/glob/ReadMe -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t/cds/glob copying astropy/io/ascii/tests/t/cds/glob/lmxbrefs.dat -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t/cds/glob creating build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t/cds/multi copying astropy/io/ascii/tests/t/cds/multi/ReadMe -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t/cds/multi copying astropy/io/ascii/tests/t/cds/multi/lhs2065.dat -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t/cds/multi copying astropy/io/ascii/tests/t/cds/multi/lp944-20.dat -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t/cds/multi copying astropy/io/ascii/tests/t/cds2.dat -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/commented_header.dat -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/commented_header2.dat -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/continuation.dat -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/daophot.dat -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/daophot2.dat -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/daophot3.dat -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/daophot4.dat -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/sextractor.dat -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/sextractor2.dat -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/sextractor3.dat -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/daophot.dat.gz -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/fill_values.txt -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/html.html -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/html2.html -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/ipac.dat -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/ipac.dat.bz2 -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/ipac.dat.xz -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/latex1.tex -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/latex1.tex.gz -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/latex2.tex -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/latex3.tex -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/nls1_stackinfo.dbout -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/no_data_cds.dat -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/no_data_daophot.dat -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/no_data_sextractor.dat -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/no_data_ipac.dat -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/no_data_with_header.dat -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/no_data_without_header.dat -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/short.rdb -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/short.rdb.bz2 -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/short.rdb.gz -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/short.rdb.xz -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/short.tab -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/simple.txt -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/simple2.txt -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/simple3.txt -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/simple4.txt -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/simple5.txt -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/space_delim_blank_lines.txt -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/space_delim_no_header.dat -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/space_delim_no_names.dat -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/test4.dat -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/test5.dat -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/vots_spec.dat -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/whitespace.dat -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/simple_csv.csv -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/simple_csv_missing.csv -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/fixed_width_2_line.txt -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t creating build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t/cds/description copying astropy/io/ascii/tests/t/cds/description/ReadMe -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t/cds/description copying astropy/io/ascii/tests/t/cds/description/table.dat -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t/cds/description creating build/lib.linux-x86_64-2.7/astropy/io/votable/tests/data copying astropy/io/votable/tests/data/names.xml -> build/lib.linux-x86_64-2.7/astropy/io/votable/tests/data copying astropy/io/votable/tests/data/gemini.xml -> build/lib.linux-x86_64-2.7/astropy/io/votable/tests/data copying astropy/io/votable/tests/data/empty_table.xml -> build/lib.linux-x86_64-2.7/astropy/io/votable/tests/data copying astropy/io/votable/tests/data/irsa-nph-m31.xml -> build/lib.linux-x86_64-2.7/astropy/io/votable/tests/data copying astropy/io/votable/tests/data/nonstandard_units.xml -> build/lib.linux-x86_64-2.7/astropy/io/votable/tests/data copying astropy/io/votable/tests/data/no_resource.xml -> build/lib.linux-x86_64-2.7/astropy/io/votable/tests/data copying astropy/io/votable/tests/data/irsa-nph-error.xml -> build/lib.linux-x86_64-2.7/astropy/io/votable/tests/data copying astropy/io/votable/tests/data/custom_datatype.xml -> build/lib.linux-x86_64-2.7/astropy/io/votable/tests/data copying astropy/io/votable/tests/data/regression.xml -> build/lib.linux-x86_64-2.7/astropy/io/votable/tests/data copying astropy/io/votable/tests/data/regression.bin.tabledata.truth.1.3.xml -> build/lib.linux-x86_64-2.7/astropy/io/votable/tests/data copying astropy/io/votable/tests/data/regression.bin.tabledata.truth.1.1.xml -> build/lib.linux-x86_64-2.7/astropy/io/votable/tests/data copying astropy/io/votable/tests/data/too_many_columns.xml.gz -> build/lib.linux-x86_64-2.7/astropy/io/votable/tests/data copying astropy/io/votable/tests/data/tb.fits -> build/lib.linux-x86_64-2.7/astropy/io/votable/tests/data copying astropy/io/votable/tests/data/no_resource.txt -> build/lib.linux-x86_64-2.7/astropy/io/votable/tests/data copying astropy/io/votable/tests/data/validation.txt -> build/lib.linux-x86_64-2.7/astropy/io/votable/tests/data creating build/lib.linux-x86_64-2.7/astropy/io/votable/validator/urls copying astropy/io/votable/validator/urls/cone.broken.dat.gz -> build/lib.linux-x86_64-2.7/astropy/io/votable/validator/urls copying astropy/io/votable/validator/urls/cone.big.dat.gz -> build/lib.linux-x86_64-2.7/astropy/io/votable/validator/urls copying astropy/io/votable/validator/urls/cone.incorrect.dat.gz -> build/lib.linux-x86_64-2.7/astropy/io/votable/validator/urls copying astropy/io/votable/validator/urls/cone.good.dat.gz -> build/lib.linux-x86_64-2.7/astropy/io/votable/validator/urls creating build/lib.linux-x86_64-2.7/astropy/io/fits/tests/data copying astropy/io/fits/tests/data/test0.fits -> build/lib.linux-x86_64-2.7/astropy/io/fits/tests/data copying astropy/io/fits/tests/data/zerowidth.fits -> build/lib.linux-x86_64-2.7/astropy/io/fits/tests/data copying astropy/io/fits/tests/data/ascii.fits -> build/lib.linux-x86_64-2.7/astropy/io/fits/tests/data copying astropy/io/fits/tests/data/arange.fits -> build/lib.linux-x86_64-2.7/astropy/io/fits/tests/data copying astropy/io/fits/tests/data/memtest.fits -> build/lib.linux-x86_64-2.7/astropy/io/fits/tests/data copying astropy/io/fits/tests/data/fixed-1890.fits -> build/lib.linux-x86_64-2.7/astropy/io/fits/tests/data copying astropy/io/fits/tests/data/comp.fits -> build/lib.linux-x86_64-2.7/astropy/io/fits/tests/data copying astropy/io/fits/tests/data/checksum.fits -> build/lib.linux-x86_64-2.7/astropy/io/fits/tests/data copying astropy/io/fits/tests/data/tb.fits -> build/lib.linux-x86_64-2.7/astropy/io/fits/tests/data copying astropy/io/fits/tests/data/random_groups.fits -> build/lib.linux-x86_64-2.7/astropy/io/fits/tests/data copying astropy/io/fits/tests/data/scale.fits -> build/lib.linux-x86_64-2.7/astropy/io/fits/tests/data copying astropy/io/fits/tests/data/blank.fits -> build/lib.linux-x86_64-2.7/astropy/io/fits/tests/data copying astropy/io/fits/tests/data/o4sp040b0_raw.fits -> build/lib.linux-x86_64-2.7/astropy/io/fits/tests/data copying astropy/io/fits/tests/data/compressed_float_bzero.fits -> build/lib.linux-x86_64-2.7/astropy/io/fits/tests/data copying astropy/io/fits/tests/data/stddata.fits -> build/lib.linux-x86_64-2.7/astropy/io/fits/tests/data copying astropy/io/fits/tests/data/tdim.fits -> build/lib.linux-x86_64-2.7/astropy/io/fits/tests/data copying astropy/io/fits/tests/data/table.fits -> build/lib.linux-x86_64-2.7/astropy/io/fits/tests/data running build_ext running pre_hook from astropy._erfa.setup_package for build_ext command running pre_hook from astropy.modeling.setup_package for build_ext command WARNING: The autogenerated wrappers in astropy.modeling._projections seem to be older than the source templates used to create them. Because this is a release version we will use them anyway, but this might be a sign of some sort of version mismatch or other tampering. Or it might just mean you moved some files around or otherwise accidentally changed timestamps. building 'astropy._compiler' extension creating build/temp.linux-x86_64-2.7 creating build/temp.linux-x86_64-2.7/astropy x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/python2.7 -c astropy/_compiler.c -o build/temp.linux-x86_64-2.7/astropy/_compiler.o x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-l1RrwO/python2.7-2.7.14=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-2.7/astropy/_compiler.o -o build/lib.linux-x86_64-2.7/astropy/_compiler.so building 'astropy.utils._compiler' extension creating build/temp.linux-x86_64-2.7/astropy/utils creating build/temp.linux-x86_64-2.7/astropy/utils/src x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/python2.7 -c astropy/utils/src/compiler.c -o build/temp.linux-x86_64-2.7/astropy/utils/src/compiler.o x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-l1RrwO/python2.7-2.7.14=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-2.7/astropy/utils/src/compiler.o -o build/lib.linux-x86_64-2.7/astropy/utils/_compiler.so building 'astropy.wcs._wcs' extension creating build/temp.linux-x86_64-2.7/astropy/wcs creating build/temp.linux-x86_64-2.7/astropy/wcs/src x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DECHO -DWCSTRIG_MACRO -DASTROPY_WCS_BUILD -D_GNU_SOURCE -DNDEBUG -DHAVE_SINCOS -UDEBUG -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/wcslib -Iastropy/wcs/include -I/usr/include/python2.7 -c astropy/wcs/src/distortion.c -o build/temp.linux-x86_64-2.7/astropy/wcs/src/distortion.o -Wno-strict-prototypes -Wno-unused-function -Wno-unused-value -Wno-uninitialized x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DECHO -DWCSTRIG_MACRO -DASTROPY_WCS_BUILD -D_GNU_SOURCE -DNDEBUG -DHAVE_SINCOS -UDEBUG -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/wcslib -Iastropy/wcs/include -I/usr/include/python2.7 -c astropy/wcs/src/distortion_wrap.c -o build/temp.linux-x86_64-2.7/astropy/wcs/src/distortion_wrap.o -Wno-strict-prototypes -Wno-unused-function -Wno-unused-value -Wno-uninitialized x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DECHO -DWCSTRIG_MACRO -DASTROPY_WCS_BUILD -D_GNU_SOURCE -DNDEBUG -DHAVE_SINCOS -UDEBUG -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/wcslib -Iastropy/wcs/include -I/usr/include/python2.7 -c astropy/wcs/src/docstrings.c -o build/temp.linux-x86_64-2.7/astropy/wcs/src/docstrings.o -Wno-strict-prototypes -Wno-unused-function -Wno-unused-value -Wno-uninitialized x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DECHO -DWCSTRIG_MACRO -DASTROPY_WCS_BUILD -D_GNU_SOURCE -DNDEBUG -DHAVE_SINCOS -UDEBUG -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/wcslib -Iastropy/wcs/include -I/usr/include/python2.7 -c astropy/wcs/src/pipeline.c -o build/temp.linux-x86_64-2.7/astropy/wcs/src/pipeline.o -Wno-strict-prototypes -Wno-unused-function -Wno-unused-value -Wno-uninitialized x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DECHO -DWCSTRIG_MACRO -DASTROPY_WCS_BUILD -D_GNU_SOURCE -DNDEBUG -DHAVE_SINCOS -UDEBUG -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/wcslib -Iastropy/wcs/include -I/usr/include/python2.7 -c astropy/wcs/src/pyutil.c -o build/temp.linux-x86_64-2.7/astropy/wcs/src/pyutil.o -Wno-strict-prototypes -Wno-unused-function -Wno-unused-value -Wno-uninitialized x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DECHO -DWCSTRIG_MACRO -DASTROPY_WCS_BUILD -D_GNU_SOURCE -DNDEBUG -DHAVE_SINCOS -UDEBUG -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/wcslib -Iastropy/wcs/include -I/usr/include/python2.7 -c astropy/wcs/src/astropy_wcs.c -o build/temp.linux-x86_64-2.7/astropy/wcs/src/astropy_wcs.o -Wno-strict-prototypes -Wno-unused-function -Wno-unused-value -Wno-uninitialized x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DECHO -DWCSTRIG_MACRO -DASTROPY_WCS_BUILD -D_GNU_SOURCE -DNDEBUG -DHAVE_SINCOS -UDEBUG -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/wcslib -Iastropy/wcs/include -I/usr/include/python2.7 -c astropy/wcs/src/astropy_wcs_api.c -o build/temp.linux-x86_64-2.7/astropy/wcs/src/astropy_wcs_api.o -Wno-strict-prototypes -Wno-unused-function -Wno-unused-value -Wno-uninitialized x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DECHO -DWCSTRIG_MACRO -DASTROPY_WCS_BUILD -D_GNU_SOURCE -DNDEBUG -DHAVE_SINCOS -UDEBUG -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/wcslib -Iastropy/wcs/include -I/usr/include/python2.7 -c astropy/wcs/src/sip.c -o build/temp.linux-x86_64-2.7/astropy/wcs/src/sip.o -Wno-strict-prototypes -Wno-unused-function -Wno-unused-value -Wno-uninitialized x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DECHO -DWCSTRIG_MACRO -DASTROPY_WCS_BUILD -D_GNU_SOURCE -DNDEBUG -DHAVE_SINCOS -UDEBUG -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/wcslib -Iastropy/wcs/include -I/usr/include/python2.7 -c astropy/wcs/src/sip_wrap.c -o build/temp.linux-x86_64-2.7/astropy/wcs/src/sip_wrap.o -Wno-strict-prototypes -Wno-unused-function -Wno-unused-value -Wno-uninitialized x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DECHO -DWCSTRIG_MACRO -DASTROPY_WCS_BUILD -D_GNU_SOURCE -DNDEBUG -DHAVE_SINCOS -UDEBUG -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/wcslib -Iastropy/wcs/include -I/usr/include/python2.7 -c astropy/wcs/src/str_list_proxy.c -o build/temp.linux-x86_64-2.7/astropy/wcs/src/str_list_proxy.o -Wno-strict-prototypes -Wno-unused-function -Wno-unused-value -Wno-uninitialized x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DECHO -DWCSTRIG_MACRO -DASTROPY_WCS_BUILD -D_GNU_SOURCE -DNDEBUG -DHAVE_SINCOS -UDEBUG -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/wcslib -Iastropy/wcs/include -I/usr/include/python2.7 -c astropy/wcs/src/unit_list_proxy.c -o build/temp.linux-x86_64-2.7/astropy/wcs/src/unit_list_proxy.o -Wno-strict-prototypes -Wno-unused-function -Wno-unused-value -Wno-uninitialized x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DECHO -DWCSTRIG_MACRO -DASTROPY_WCS_BUILD -D_GNU_SOURCE -DNDEBUG -DHAVE_SINCOS -UDEBUG -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/wcslib -Iastropy/wcs/include -I/usr/include/python2.7 -c astropy/wcs/src/util.c -o build/temp.linux-x86_64-2.7/astropy/wcs/src/util.o -Wno-strict-prototypes -Wno-unused-function -Wno-unused-value -Wno-uninitialized x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DECHO -DWCSTRIG_MACRO -DASTROPY_WCS_BUILD -D_GNU_SOURCE -DNDEBUG -DHAVE_SINCOS -UDEBUG -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/wcslib -Iastropy/wcs/include -I/usr/include/python2.7 -c astropy/wcs/src/wcslib_wrap.c -o build/temp.linux-x86_64-2.7/astropy/wcs/src/wcslib_wrap.o -Wno-strict-prototypes -Wno-unused-function -Wno-unused-value -Wno-uninitialized x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DECHO -DWCSTRIG_MACRO -DASTROPY_WCS_BUILD -D_GNU_SOURCE -DNDEBUG -DHAVE_SINCOS -UDEBUG -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/wcslib -Iastropy/wcs/include -I/usr/include/python2.7 -c astropy/wcs/src/wcslib_tabprm_wrap.c -o build/temp.linux-x86_64-2.7/astropy/wcs/src/wcslib_tabprm_wrap.o -Wno-strict-prototypes -Wno-unused-function -Wno-unused-value -Wno-uninitialized x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-l1RrwO/python2.7-2.7.14=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-2.7/astropy/wcs/src/distortion.o build/temp.linux-x86_64-2.7/astropy/wcs/src/distortion_wrap.o build/temp.linux-x86_64-2.7/astropy/wcs/src/docstrings.o build/temp.linux-x86_64-2.7/astropy/wcs/src/pipeline.o build/temp.linux-x86_64-2.7/astropy/wcs/src/pyutil.o build/temp.linux-x86_64-2.7/astropy/wcs/src/astropy_wcs.o build/temp.linux-x86_64-2.7/astropy/wcs/src/astropy_wcs_api.o build/temp.linux-x86_64-2.7/astropy/wcs/src/sip.o build/temp.linux-x86_64-2.7/astropy/wcs/src/sip_wrap.o build/temp.linux-x86_64-2.7/astropy/wcs/src/str_list_proxy.o build/temp.linux-x86_64-2.7/astropy/wcs/src/unit_list_proxy.o build/temp.linux-x86_64-2.7/astropy/wcs/src/util.o build/temp.linux-x86_64-2.7/astropy/wcs/src/wcslib_wrap.o build/temp.linux-x86_64-2.7/astropy/wcs/src/wcslib_tabprm_wrap.o -lwcs -lm -o build/lib.linux-x86_64-2.7/astropy/wcs/_wcs.so building 'astropy._erfa._core' extension creating build/temp.linux-x86_64-2.7/astropy/_erfa x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c astropy/_erfa/core.c -o build/temp.linux-x86_64-2.7/astropy/_erfa/core.o x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-l1RrwO/python2.7-2.7.14=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-2.7/astropy/_erfa/core.o -lerfa -o build/lib.linux-x86_64-2.7/astropy/_erfa/_core.so cythoning astropy/table/_np_utils.pyx to astropy/table/_np_utils.c building 'astropy.table._np_utils' extension creating build/temp.linux-x86_64-2.7/astropy/table x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c astropy/table/_np_utils.c -o build/temp.linux-x86_64-2.7/astropy/table/_np_utils.o -Wp,-w -Wno-unused-function x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-l1RrwO/python2.7-2.7.14=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-2.7/astropy/table/_np_utils.o -o build/lib.linux-x86_64-2.7/astropy/table/_np_utils.so cythoning astropy/table/_column_mixins.pyx to astropy/table/_column_mixins.c building 'astropy.table._column_mixins' extension x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c astropy/table/_column_mixins.c -o build/temp.linux-x86_64-2.7/astropy/table/_column_mixins.o -Wp,-w -Wno-unused-function x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-l1RrwO/python2.7-2.7.14=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-2.7/astropy/table/_column_mixins.o -o build/lib.linux-x86_64-2.7/astropy/table/_column_mixins.so building 'astropy.modeling._projections' extension creating build/temp.linux-x86_64-2.7/astropy/modeling creating build/temp.linux-x86_64-2.7/astropy/modeling/src x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DECHO -DWCSTRIG_MACRO -DASTROPY_WCS_BUILD -D_GNU_SOURCE -DNDEBUG -DHAVE_SINCOS -UDEBUG -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/wcslib -Iastropy/modeling/src -I/usr/include/python2.7 -c astropy/modeling/src/projections.c -o build/temp.linux-x86_64-2.7/astropy/modeling/src/projections.o -Wno-strict-prototypes -Wno-unused-function -Wno-unused-value -Wno-uninitialized x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-l1RrwO/python2.7-2.7.14=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-2.7/astropy/modeling/src/projections.o -lwcs -lm -o build/lib.linux-x86_64-2.7/astropy/modeling/_projections.so building 'astropy.utils.xml._iterparser' extension creating build/temp.linux-x86_64-2.7/astropy/utils/xml creating build/temp.linux-x86_64-2.7/astropy/utils/xml/src x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/python2.7 -c astropy/utils/xml/src/iterparse.c -o build/temp.linux-x86_64-2.7/astropy/utils/xml/src/iterparse.o x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-l1RrwO/python2.7-2.7.14=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-2.7/astropy/utils/xml/src/iterparse.o -lexpat -o build/lib.linux-x86_64-2.7/astropy/utils/xml/_iterparser.so cythoning astropy/io/ascii/cparser.pyx to astropy/io/ascii/cparser.c building 'astropy.io.ascii.cparser' extension creating build/temp.linux-x86_64-2.7/astropy/io creating build/temp.linux-x86_64-2.7/astropy/io/ascii creating build/temp.linux-x86_64-2.7/astropy/io/ascii/src x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c astropy/io/ascii/cparser.c -o build/temp.linux-x86_64-2.7/astropy/io/ascii/cparser.o -Wp,-w -Wno-unused-function x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c astropy/io/ascii/src/tokenizer.c -o build/temp.linux-x86_64-2.7/astropy/io/ascii/src/tokenizer.o -Wp,-w -Wno-unused-function x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-l1RrwO/python2.7-2.7.14=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-2.7/astropy/io/ascii/cparser.o build/temp.linux-x86_64-2.7/astropy/io/ascii/src/tokenizer.o -o build/lib.linux-x86_64-2.7/astropy/io/ascii/cparser.so building 'astropy.io.votable.tablewriter' extension creating build/temp.linux-x86_64-2.7/astropy/io/votable creating build/temp.linux-x86_64-2.7/astropy/io/votable/src x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Iastropy/io/votable/src -I/usr/include/python2.7 -c astropy/io/votable/src/tablewriter.c -o build/temp.linux-x86_64-2.7/astropy/io/votable/src/tablewriter.o x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-l1RrwO/python2.7-2.7.14=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-2.7/astropy/io/votable/src/tablewriter.o -o build/lib.linux-x86_64-2.7/astropy/io/votable/tablewriter.so building 'astropy.io.fits.compression' extension creating build/temp.linux-x86_64-2.7/astropy/io/fits creating build/temp.linux-x86_64-2.7/astropy/io/fits/src x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c astropy/io/fits/src/compressionmodule.c -o build/temp.linux-x86_64-2.7/astropy/io/fits/src/compressionmodule.o x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-l1RrwO/python2.7-2.7.14=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-2.7/astropy/io/fits/src/compressionmodule.o -lcfitsio -lpthread -o build/lib.linux-x86_64-2.7/astropy/io/fits/compression.so cythoning astropy/cosmology/scalar_inv_efuncs.pyx to astropy/cosmology/scalar_inv_efuncs.c building 'astropy.cosmology.scalar_inv_efuncs' extension creating build/temp.linux-x86_64-2.7/astropy/cosmology x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c astropy/cosmology/scalar_inv_efuncs.c -o build/temp.linux-x86_64-2.7/astropy/cosmology/scalar_inv_efuncs.o -Wp,-w -Wno-unused-function x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-l1RrwO/python2.7-2.7.14=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-2.7/astropy/cosmology/scalar_inv_efuncs.o -o build/lib.linux-x86_64-2.7/astropy/cosmology/scalar_inv_efuncs.so cythoning astropy/convolution/boundary_none.pyx to astropy/convolution/boundary_none.c building 'astropy.convolution.boundary_none' extension creating build/temp.linux-x86_64-2.7/astropy/convolution x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c astropy/convolution/boundary_none.c -o build/temp.linux-x86_64-2.7/astropy/convolution/boundary_none.o -Wp,-w -Wno-unused-function x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-l1RrwO/python2.7-2.7.14=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-2.7/astropy/convolution/boundary_none.o -o build/lib.linux-x86_64-2.7/astropy/convolution/boundary_none.so cythoning astropy/convolution/boundary_fill.pyx to astropy/convolution/boundary_fill.c building 'astropy.convolution.boundary_fill' extension x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c astropy/convolution/boundary_fill.c -o build/temp.linux-x86_64-2.7/astropy/convolution/boundary_fill.o -Wp,-w -Wno-unused-function x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-l1RrwO/python2.7-2.7.14=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-2.7/astropy/convolution/boundary_fill.o -o build/lib.linux-x86_64-2.7/astropy/convolution/boundary_fill.so cythoning astropy/convolution/boundary_wrap.pyx to astropy/convolution/boundary_wrap.c building 'astropy.convolution.boundary_wrap' extension x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c astropy/convolution/boundary_wrap.c -o build/temp.linux-x86_64-2.7/astropy/convolution/boundary_wrap.o -Wp,-w -Wno-unused-function x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-l1RrwO/python2.7-2.7.14=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-2.7/astropy/convolution/boundary_wrap.o -o build/lib.linux-x86_64-2.7/astropy/convolution/boundary_wrap.so cythoning astropy/convolution/boundary_extend.pyx to astropy/convolution/boundary_extend.c building 'astropy.convolution.boundary_extend' extension x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c astropy/convolution/boundary_extend.c -o build/temp.linux-x86_64-2.7/astropy/convolution/boundary_extend.o -Wp,-w -Wno-unused-function x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-l1RrwO/python2.7-2.7.14=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-2.7/astropy/convolution/boundary_extend.o -o build/lib.linux-x86_64-2.7/astropy/convolution/boundary_extend.so cythoning astropy/stats/lombscargle/implementations/cython_impl.pyx to astropy/stats/lombscargle/implementations/cython_impl.c building 'astropy.stats.lombscargle.implementations.cython_impl' extension creating build/temp.linux-x86_64-2.7/astropy/stats creating build/temp.linux-x86_64-2.7/astropy/stats/lombscargle creating build/temp.linux-x86_64-2.7/astropy/stats/lombscargle/implementations x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c astropy/stats/lombscargle/implementations/cython_impl.c -o build/temp.linux-x86_64-2.7/astropy/stats/lombscargle/implementations/cython_impl.o -Wp,-w -Wno-unused-function x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-l1RrwO/python2.7-2.7.14=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-2.7/astropy/stats/lombscargle/implementations/cython_impl.o -o build/lib.linux-x86_64-2.7/astropy/stats/lombscargle/implementations/cython_impl.so copying astropy/cython_version.py -> build/lib.linux-x86_64-2.7/astropy python3.6 setup.py build --use-system-libraries running build running build_py running pre_hook from astropy._erfa.setup_package for build_py command running pre_hook from astropy.modeling.setup_package for build_py command creating build/lib.linux-x86_64-3.6 creating build/lib.linux-x86_64-3.6/astropy copying astropy/version.py -> build/lib.linux-x86_64-3.6/astropy copying astropy/cython_version.py -> build/lib.linux-x86_64-3.6/astropy copying astropy/__init__.py -> build/lib.linux-x86_64-3.6/astropy copying astropy/logger.py -> build/lib.linux-x86_64-3.6/astropy copying astropy/conftest.py -> build/lib.linux-x86_64-3.6/astropy copying astropy/setup_package.py -> build/lib.linux-x86_64-3.6/astropy creating build/lib.linux-x86_64-3.6/astropy/stats copying astropy/stats/circstats.py -> build/lib.linux-x86_64-3.6/astropy/stats copying astropy/stats/__init__.py -> build/lib.linux-x86_64-3.6/astropy/stats copying astropy/stats/bayesian_blocks.py -> build/lib.linux-x86_64-3.6/astropy/stats copying astropy/stats/info_theory.py -> build/lib.linux-x86_64-3.6/astropy/stats copying astropy/stats/spatial.py -> build/lib.linux-x86_64-3.6/astropy/stats copying astropy/stats/setup_package.py -> build/lib.linux-x86_64-3.6/astropy/stats copying astropy/stats/biweight.py -> build/lib.linux-x86_64-3.6/astropy/stats copying astropy/stats/histogram.py -> build/lib.linux-x86_64-3.6/astropy/stats copying astropy/stats/jackknife.py -> build/lib.linux-x86_64-3.6/astropy/stats copying astropy/stats/sigma_clipping.py -> build/lib.linux-x86_64-3.6/astropy/stats copying astropy/stats/funcs.py -> build/lib.linux-x86_64-3.6/astropy/stats creating build/lib.linux-x86_64-3.6/astropy/utils copying astropy/utils/metadata.py -> build/lib.linux-x86_64-3.6/astropy/utils copying astropy/utils/introspection.py -> build/lib.linux-x86_64-3.6/astropy/utils copying astropy/utils/data.py -> build/lib.linux-x86_64-3.6/astropy/utils copying astropy/utils/__init__.py -> build/lib.linux-x86_64-3.6/astropy/utils copying astropy/utils/codegen.py -> build/lib.linux-x86_64-3.6/astropy/utils copying astropy/utils/timer.py -> build/lib.linux-x86_64-3.6/astropy/utils copying astropy/utils/state.py -> build/lib.linux-x86_64-3.6/astropy/utils copying astropy/utils/console.py -> build/lib.linux-x86_64-3.6/astropy/utils copying astropy/utils/exceptions.py -> build/lib.linux-x86_64-3.6/astropy/utils copying astropy/utils/decorators.py -> build/lib.linux-x86_64-3.6/astropy/utils copying astropy/utils/setup_package.py -> build/lib.linux-x86_64-3.6/astropy/utils copying astropy/utils/collections.py -> build/lib.linux-x86_64-3.6/astropy/utils copying astropy/utils/data_info.py -> build/lib.linux-x86_64-3.6/astropy/utils copying astropy/utils/misc.py -> build/lib.linux-x86_64-3.6/astropy/utils copying astropy/utils/argparse.py -> build/lib.linux-x86_64-3.6/astropy/utils creating build/lib.linux-x86_64-3.6/astropy/nddata copying astropy/nddata/__init__.py -> build/lib.linux-x86_64-3.6/astropy/nddata copying astropy/nddata/flag_collection.py -> build/lib.linux-x86_64-3.6/astropy/nddata copying astropy/nddata/nddata_withmixins.py -> build/lib.linux-x86_64-3.6/astropy/nddata copying astropy/nddata/nddata_base.py -> build/lib.linux-x86_64-3.6/astropy/nddata copying astropy/nddata/decorators.py -> build/lib.linux-x86_64-3.6/astropy/nddata copying astropy/nddata/nduncertainty.py -> build/lib.linux-x86_64-3.6/astropy/nddata copying astropy/nddata/setup_package.py -> build/lib.linux-x86_64-3.6/astropy/nddata copying astropy/nddata/ccddata.py -> build/lib.linux-x86_64-3.6/astropy/nddata copying astropy/nddata/utils.py -> build/lib.linux-x86_64-3.6/astropy/nddata copying astropy/nddata/nddata.py -> build/lib.linux-x86_64-3.6/astropy/nddata copying astropy/nddata/compat.py -> build/lib.linux-x86_64-3.6/astropy/nddata creating build/lib.linux-x86_64-3.6/astropy/wcs copying astropy/wcs/wcs.py -> build/lib.linux-x86_64-3.6/astropy/wcs copying astropy/wcs/__init__.py -> build/lib.linux-x86_64-3.6/astropy/wcs copying astropy/wcs/_docutil.py -> build/lib.linux-x86_64-3.6/astropy/wcs copying astropy/wcs/wcslint.py -> build/lib.linux-x86_64-3.6/astropy/wcs copying astropy/wcs/setup_package.py -> build/lib.linux-x86_64-3.6/astropy/wcs copying astropy/wcs/docstrings.py -> build/lib.linux-x86_64-3.6/astropy/wcs copying astropy/wcs/utils.py -> build/lib.linux-x86_64-3.6/astropy/wcs creating build/lib.linux-x86_64-3.6/astropy/analytic_functions copying astropy/analytic_functions/__init__.py -> build/lib.linux-x86_64-3.6/astropy/analytic_functions copying astropy/analytic_functions/blackbody.py -> build/lib.linux-x86_64-3.6/astropy/analytic_functions creating build/lib.linux-x86_64-3.6/astropy/config copying astropy/config/__init__.py -> build/lib.linux-x86_64-3.6/astropy/config copying astropy/config/setup_package.py -> build/lib.linux-x86_64-3.6/astropy/config copying astropy/config/paths.py -> build/lib.linux-x86_64-3.6/astropy/config copying astropy/config/configuration.py -> build/lib.linux-x86_64-3.6/astropy/config copying astropy/config/affiliated.py -> build/lib.linux-x86_64-3.6/astropy/config creating build/lib.linux-x86_64-3.6/astropy/_erfa copying astropy/_erfa/core.py -> build/lib.linux-x86_64-3.6/astropy/_erfa copying astropy/_erfa/__init__.py -> build/lib.linux-x86_64-3.6/astropy/_erfa copying astropy/_erfa/setup_package.py -> build/lib.linux-x86_64-3.6/astropy/_erfa copying astropy/_erfa/erfa_generator.py -> build/lib.linux-x86_64-3.6/astropy/_erfa creating build/lib.linux-x86_64-3.6/astropy/vo copying astropy/vo/__init__.py -> build/lib.linux-x86_64-3.6/astropy/vo creating build/lib.linux-x86_64-3.6/astropy/time copying astropy/time/core.py -> build/lib.linux-x86_64-3.6/astropy/time copying astropy/time/__init__.py -> build/lib.linux-x86_64-3.6/astropy/time copying astropy/time/setup_package.py -> build/lib.linux-x86_64-3.6/astropy/time copying astropy/time/utils.py -> build/lib.linux-x86_64-3.6/astropy/time copying astropy/time/formats.py -> build/lib.linux-x86_64-3.6/astropy/time creating build/lib.linux-x86_64-3.6/astropy/table copying astropy/table/table.py -> build/lib.linux-x86_64-3.6/astropy/table copying astropy/table/info.py -> build/lib.linux-x86_64-3.6/astropy/table copying astropy/table/sorted_array.py -> build/lib.linux-x86_64-3.6/astropy/table copying astropy/table/__init__.py -> build/lib.linux-x86_64-3.6/astropy/table copying astropy/table/jsviewer.py -> build/lib.linux-x86_64-3.6/astropy/table copying astropy/table/groups.py -> build/lib.linux-x86_64-3.6/astropy/table copying astropy/table/column.py -> build/lib.linux-x86_64-3.6/astropy/table copying astropy/table/meta.py -> build/lib.linux-x86_64-3.6/astropy/table copying astropy/table/operations.py -> build/lib.linux-x86_64-3.6/astropy/table copying astropy/table/serialize.py -> build/lib.linux-x86_64-3.6/astropy/table copying astropy/table/table_helpers.py -> build/lib.linux-x86_64-3.6/astropy/table copying astropy/table/pprint.py -> build/lib.linux-x86_64-3.6/astropy/table copying astropy/table/row.py -> build/lib.linux-x86_64-3.6/astropy/table copying astropy/table/np_utils.py -> build/lib.linux-x86_64-3.6/astropy/table copying astropy/table/setup_package.py -> build/lib.linux-x86_64-3.6/astropy/table copying astropy/table/index.py -> build/lib.linux-x86_64-3.6/astropy/table copying astropy/table/bst.py -> build/lib.linux-x86_64-3.6/astropy/table creating build/lib.linux-x86_64-3.6/astropy/constants copying astropy/constants/astropyconst13.py -> build/lib.linux-x86_64-3.6/astropy/constants copying astropy/constants/si.py -> build/lib.linux-x86_64-3.6/astropy/constants copying astropy/constants/__init__.py -> build/lib.linux-x86_64-3.6/astropy/constants copying astropy/constants/constant.py -> build/lib.linux-x86_64-3.6/astropy/constants copying astropy/constants/codata2010.py -> build/lib.linux-x86_64-3.6/astropy/constants copying astropy/constants/iau2012.py -> build/lib.linux-x86_64-3.6/astropy/constants copying astropy/constants/setup_package.py -> build/lib.linux-x86_64-3.6/astropy/constants copying astropy/constants/cgs.py -> build/lib.linux-x86_64-3.6/astropy/constants copying astropy/constants/iau2015.py -> build/lib.linux-x86_64-3.6/astropy/constants copying astropy/constants/astropyconst20.py -> build/lib.linux-x86_64-3.6/astropy/constants copying astropy/constants/codata2014.py -> build/lib.linux-x86_64-3.6/astropy/constants creating build/lib.linux-x86_64-3.6/astropy/tests copying astropy/tests/command.py -> build/lib.linux-x86_64-3.6/astropy/tests copying astropy/tests/__init__.py -> build/lib.linux-x86_64-3.6/astropy/tests copying astropy/tests/test_logger.py -> build/lib.linux-x86_64-3.6/astropy/tests copying astropy/tests/runner.py -> build/lib.linux-x86_64-3.6/astropy/tests copying astropy/tests/helper.py -> build/lib.linux-x86_64-3.6/astropy/tests copying astropy/tests/output_checker.py -> build/lib.linux-x86_64-3.6/astropy/tests copying astropy/tests/pytest_plugins.py -> build/lib.linux-x86_64-3.6/astropy/tests copying astropy/tests/disable_internet.py -> build/lib.linux-x86_64-3.6/astropy/tests copying astropy/tests/image_tests.py -> build/lib.linux-x86_64-3.6/astropy/tests copying astropy/tests/setup_package.py -> build/lib.linux-x86_64-3.6/astropy/tests creating build/lib.linux-x86_64-3.6/astropy/cosmology copying astropy/cosmology/core.py -> build/lib.linux-x86_64-3.6/astropy/cosmology copying astropy/cosmology/__init__.py -> build/lib.linux-x86_64-3.6/astropy/cosmology copying astropy/cosmology/parameters.py -> build/lib.linux-x86_64-3.6/astropy/cosmology copying astropy/cosmology/setup_package.py -> build/lib.linux-x86_64-3.6/astropy/cosmology copying astropy/cosmology/funcs.py -> build/lib.linux-x86_64-3.6/astropy/cosmology creating build/lib.linux-x86_64-3.6/astropy/modeling copying astropy/modeling/core.py -> build/lib.linux-x86_64-3.6/astropy/modeling copying astropy/modeling/mappings.py -> build/lib.linux-x86_64-3.6/astropy/modeling copying astropy/modeling/optimizers.py -> build/lib.linux-x86_64-3.6/astropy/modeling copying astropy/modeling/__init__.py -> build/lib.linux-x86_64-3.6/astropy/modeling copying astropy/modeling/projections.py -> build/lib.linux-x86_64-3.6/astropy/modeling copying astropy/modeling/functional_models.py -> build/lib.linux-x86_64-3.6/astropy/modeling copying astropy/modeling/models.py -> build/lib.linux-x86_64-3.6/astropy/modeling copying astropy/modeling/parameters.py -> build/lib.linux-x86_64-3.6/astropy/modeling copying astropy/modeling/polynomial.py -> build/lib.linux-x86_64-3.6/astropy/modeling copying astropy/modeling/rotations.py -> build/lib.linux-x86_64-3.6/astropy/modeling copying astropy/modeling/statistic.py -> build/lib.linux-x86_64-3.6/astropy/modeling copying astropy/modeling/setup_package.py -> build/lib.linux-x86_64-3.6/astropy/modeling copying astropy/modeling/utils.py -> build/lib.linux-x86_64-3.6/astropy/modeling copying astropy/modeling/blackbody.py -> build/lib.linux-x86_64-3.6/astropy/modeling copying astropy/modeling/fitting.py -> build/lib.linux-x86_64-3.6/astropy/modeling copying astropy/modeling/powerlaws.py -> build/lib.linux-x86_64-3.6/astropy/modeling copying astropy/modeling/tabular.py -> build/lib.linux-x86_64-3.6/astropy/modeling creating build/lib.linux-x86_64-3.6/astropy/samp copying astropy/samp/hub.py -> build/lib.linux-x86_64-3.6/astropy/samp copying astropy/samp/errors.py -> build/lib.linux-x86_64-3.6/astropy/samp copying astropy/samp/constants.py -> build/lib.linux-x86_64-3.6/astropy/samp copying astropy/samp/web_profile.py -> build/lib.linux-x86_64-3.6/astropy/samp copying astropy/samp/__init__.py -> build/lib.linux-x86_64-3.6/astropy/samp copying astropy/samp/client.py -> build/lib.linux-x86_64-3.6/astropy/samp copying astropy/samp/integrated_client.py -> build/lib.linux-x86_64-3.6/astropy/samp copying astropy/samp/setup_package.py -> build/lib.linux-x86_64-3.6/astropy/samp copying astropy/samp/utils.py -> build/lib.linux-x86_64-3.6/astropy/samp copying astropy/samp/lockfile_helpers.py -> build/lib.linux-x86_64-3.6/astropy/samp copying astropy/samp/hub_proxy.py -> build/lib.linux-x86_64-3.6/astropy/samp copying astropy/samp/standard_profile.py -> build/lib.linux-x86_64-3.6/astropy/samp copying astropy/samp/hub_script.py -> build/lib.linux-x86_64-3.6/astropy/samp creating build/lib.linux-x86_64-3.6/astropy/visualization copying astropy/visualization/hist.py -> build/lib.linux-x86_64-3.6/astropy/visualization copying astropy/visualization/mpl_style.py -> build/lib.linux-x86_64-3.6/astropy/visualization copying astropy/visualization/lupton_rgb.py -> build/lib.linux-x86_64-3.6/astropy/visualization copying astropy/visualization/__init__.py -> build/lib.linux-x86_64-3.6/astropy/visualization copying astropy/visualization/units.py -> build/lib.linux-x86_64-3.6/astropy/visualization copying astropy/visualization/stretch.py -> build/lib.linux-x86_64-3.6/astropy/visualization copying astropy/visualization/transform.py -> build/lib.linux-x86_64-3.6/astropy/visualization copying astropy/visualization/mpl_normalize.py -> build/lib.linux-x86_64-3.6/astropy/visualization copying astropy/visualization/interval.py -> build/lib.linux-x86_64-3.6/astropy/visualization creating build/lib.linux-x86_64-3.6/astropy/convolution copying astropy/convolution/core.py -> build/lib.linux-x86_64-3.6/astropy/convolution copying astropy/convolution/__init__.py -> build/lib.linux-x86_64-3.6/astropy/convolution copying astropy/convolution/convolve.py -> build/lib.linux-x86_64-3.6/astropy/convolution copying astropy/convolution/setup_package.py -> build/lib.linux-x86_64-3.6/astropy/convolution copying astropy/convolution/utils.py -> build/lib.linux-x86_64-3.6/astropy/convolution copying astropy/convolution/kernels.py -> build/lib.linux-x86_64-3.6/astropy/convolution creating build/lib.linux-x86_64-3.6/astropy/units copying astropy/units/core.py -> build/lib.linux-x86_64-3.6/astropy/units copying astropy/units/required_by_vounit.py -> build/lib.linux-x86_64-3.6/astropy/units copying astropy/units/cds.py -> build/lib.linux-x86_64-3.6/astropy/units copying astropy/units/astrophys.py -> build/lib.linux-x86_64-3.6/astropy/units copying astropy/units/equivalencies.py -> build/lib.linux-x86_64-3.6/astropy/units copying astropy/units/si.py -> build/lib.linux-x86_64-3.6/astropy/units copying astropy/units/__init__.py -> build/lib.linux-x86_64-3.6/astropy/units copying astropy/units/quantity.py -> build/lib.linux-x86_64-3.6/astropy/units copying astropy/units/quantity_helper.py -> build/lib.linux-x86_64-3.6/astropy/units copying astropy/units/physical.py -> build/lib.linux-x86_64-3.6/astropy/units copying astropy/units/imperial.py -> build/lib.linux-x86_64-3.6/astropy/units copying astropy/units/deprecated.py -> build/lib.linux-x86_64-3.6/astropy/units copying astropy/units/decorators.py -> build/lib.linux-x86_64-3.6/astropy/units copying astropy/units/setup_package.py -> build/lib.linux-x86_64-3.6/astropy/units copying astropy/units/cgs.py -> build/lib.linux-x86_64-3.6/astropy/units copying astropy/units/utils.py -> build/lib.linux-x86_64-3.6/astropy/units creating build/lib.linux-x86_64-3.6/astropy/extern copying astropy/extern/six.py -> build/lib.linux-x86_64-3.6/astropy/extern copying astropy/extern/configobj.py -> build/lib.linux-x86_64-3.6/astropy/extern copying astropy/extern/__init__.py -> build/lib.linux-x86_64-3.6/astropy/extern copying astropy/extern/setup_package.py -> build/lib.linux-x86_64-3.6/astropy/extern creating build/lib.linux-x86_64-3.6/astropy/coordinates copying astropy/coordinates/errors.py -> build/lib.linux-x86_64-3.6/astropy/coordinates copying astropy/coordinates/solar_system.py -> build/lib.linux-x86_64-3.6/astropy/coordinates copying astropy/coordinates/angle_utilities.py -> build/lib.linux-x86_64-3.6/astropy/coordinates copying astropy/coordinates/matching.py -> build/lib.linux-x86_64-3.6/astropy/coordinates copying astropy/coordinates/__init__.py -> build/lib.linux-x86_64-3.6/astropy/coordinates copying astropy/coordinates/transformations.py -> build/lib.linux-x86_64-3.6/astropy/coordinates copying astropy/coordinates/angles.py -> build/lib.linux-x86_64-3.6/astropy/coordinates copying astropy/coordinates/name_resolve.py -> build/lib.linux-x86_64-3.6/astropy/coordinates copying astropy/coordinates/sites.py -> build/lib.linux-x86_64-3.6/astropy/coordinates copying astropy/coordinates/baseframe.py -> build/lib.linux-x86_64-3.6/astropy/coordinates copying astropy/coordinates/sky_coordinate.py -> build/lib.linux-x86_64-3.6/astropy/coordinates copying astropy/coordinates/angle_lextab.py -> build/lib.linux-x86_64-3.6/astropy/coordinates copying astropy/coordinates/attributes.py -> build/lib.linux-x86_64-3.6/astropy/coordinates copying astropy/coordinates/setup_package.py -> build/lib.linux-x86_64-3.6/astropy/coordinates copying astropy/coordinates/matrix_utilities.py -> build/lib.linux-x86_64-3.6/astropy/coordinates copying astropy/coordinates/angle_parsetab.py -> build/lib.linux-x86_64-3.6/astropy/coordinates copying astropy/coordinates/earth.py -> build/lib.linux-x86_64-3.6/astropy/coordinates copying astropy/coordinates/representation.py -> build/lib.linux-x86_64-3.6/astropy/coordinates copying astropy/coordinates/orbital_elements.py -> build/lib.linux-x86_64-3.6/astropy/coordinates copying astropy/coordinates/calculation.py -> build/lib.linux-x86_64-3.6/astropy/coordinates copying astropy/coordinates/distances.py -> build/lib.linux-x86_64-3.6/astropy/coordinates copying astropy/coordinates/earth_orientation.py -> build/lib.linux-x86_64-3.6/astropy/coordinates copying astropy/coordinates/funcs.py -> build/lib.linux-x86_64-3.6/astropy/coordinates creating build/lib.linux-x86_64-3.6/astropy/io copying astropy/io/__init__.py -> build/lib.linux-x86_64-3.6/astropy/io copying astropy/io/registry.py -> build/lib.linux-x86_64-3.6/astropy/io copying astropy/io/setup_package.py -> build/lib.linux-x86_64-3.6/astropy/io creating build/lib.linux-x86_64-3.6/astropy/stats/lombscargle copying astropy/stats/lombscargle/core.py -> build/lib.linux-x86_64-3.6/astropy/stats/lombscargle copying astropy/stats/lombscargle/__init__.py -> build/lib.linux-x86_64-3.6/astropy/stats/lombscargle creating build/lib.linux-x86_64-3.6/astropy/stats/tests copying astropy/stats/tests/test_funcs.py -> build/lib.linux-x86_64-3.6/astropy/stats/tests copying astropy/stats/tests/test_circstats.py -> build/lib.linux-x86_64-3.6/astropy/stats/tests copying astropy/stats/tests/test_spatial.py -> build/lib.linux-x86_64-3.6/astropy/stats/tests copying astropy/stats/tests/__init__.py -> build/lib.linux-x86_64-3.6/astropy/stats/tests copying astropy/stats/tests/test_biweight.py -> build/lib.linux-x86_64-3.6/astropy/stats/tests copying astropy/stats/tests/test_bayesian_blocks.py -> build/lib.linux-x86_64-3.6/astropy/stats/tests copying astropy/stats/tests/test_histogram.py -> build/lib.linux-x86_64-3.6/astropy/stats/tests copying astropy/stats/tests/test_jackknife.py -> build/lib.linux-x86_64-3.6/astropy/stats/tests copying astropy/stats/tests/test_info_theory.py -> build/lib.linux-x86_64-3.6/astropy/stats/tests copying astropy/stats/tests/test_sigma_clipping.py -> build/lib.linux-x86_64-3.6/astropy/stats/tests creating build/lib.linux-x86_64-3.6/astropy/stats/lombscargle/implementations copying astropy/stats/lombscargle/implementations/slow_impl.py -> build/lib.linux-x86_64-3.6/astropy/stats/lombscargle/implementations copying astropy/stats/lombscargle/implementations/chi2_impl.py -> build/lib.linux-x86_64-3.6/astropy/stats/lombscargle/implementations copying astropy/stats/lombscargle/implementations/__init__.py -> build/lib.linux-x86_64-3.6/astropy/stats/lombscargle/implementations copying astropy/stats/lombscargle/implementations/main.py -> build/lib.linux-x86_64-3.6/astropy/stats/lombscargle/implementations copying astropy/stats/lombscargle/implementations/fast_impl.py -> build/lib.linux-x86_64-3.6/astropy/stats/lombscargle/implementations copying astropy/stats/lombscargle/implementations/mle.py -> build/lib.linux-x86_64-3.6/astropy/stats/lombscargle/implementations copying astropy/stats/lombscargle/implementations/fastchi2_impl.py -> build/lib.linux-x86_64-3.6/astropy/stats/lombscargle/implementations copying astropy/stats/lombscargle/implementations/scipy_impl.py -> build/lib.linux-x86_64-3.6/astropy/stats/lombscargle/implementations copying astropy/stats/lombscargle/implementations/utils.py -> build/lib.linux-x86_64-3.6/astropy/stats/lombscargle/implementations creating build/lib.linux-x86_64-3.6/astropy/stats/lombscargle/tests copying astropy/stats/lombscargle/tests/test_lombscargle.py -> build/lib.linux-x86_64-3.6/astropy/stats/lombscargle/tests copying astropy/stats/lombscargle/tests/__init__.py -> build/lib.linux-x86_64-3.6/astropy/stats/lombscargle/tests creating build/lib.linux-x86_64-3.6/astropy/stats/lombscargle/implementations/tests copying astropy/stats/lombscargle/implementations/tests/__init__.py -> build/lib.linux-x86_64-3.6/astropy/stats/lombscargle/implementations/tests copying astropy/stats/lombscargle/implementations/tests/test_mle.py -> build/lib.linux-x86_64-3.6/astropy/stats/lombscargle/implementations/tests copying astropy/stats/lombscargle/implementations/tests/test_utils.py -> build/lib.linux-x86_64-3.6/astropy/stats/lombscargle/implementations/tests creating build/lib.linux-x86_64-3.6/astropy/utils/xml copying astropy/utils/xml/writer.py -> build/lib.linux-x86_64-3.6/astropy/utils/xml copying astropy/utils/xml/check.py -> build/lib.linux-x86_64-3.6/astropy/utils/xml copying astropy/utils/xml/__init__.py -> build/lib.linux-x86_64-3.6/astropy/utils/xml copying astropy/utils/xml/unescaper.py -> build/lib.linux-x86_64-3.6/astropy/utils/xml copying astropy/utils/xml/validate.py -> build/lib.linux-x86_64-3.6/astropy/utils/xml copying astropy/utils/xml/iterparser.py -> build/lib.linux-x86_64-3.6/astropy/utils/xml copying astropy/utils/xml/setup_package.py -> build/lib.linux-x86_64-3.6/astropy/utils/xml creating build/lib.linux-x86_64-3.6/astropy/utils/compat copying astropy/utils/compat/numpycompat.py -> build/lib.linux-x86_64-3.6/astropy/utils/compat copying astropy/utils/compat/funcsigs.py -> build/lib.linux-x86_64-3.6/astropy/utils/compat copying astropy/utils/compat/__init__.py -> build/lib.linux-x86_64-3.6/astropy/utils/compat copying astropy/utils/compat/_funcsigs.py -> build/lib.linux-x86_64-3.6/astropy/utils/compat copying astropy/utils/compat/misc.py -> build/lib.linux-x86_64-3.6/astropy/utils/compat creating build/lib.linux-x86_64-3.6/astropy/utils/tests copying astropy/utils/tests/test_timer.py -> build/lib.linux-x86_64-3.6/astropy/utils/tests copying astropy/utils/tests/test_decorators.py -> build/lib.linux-x86_64-3.6/astropy/utils/tests copying astropy/utils/tests/__init__.py -> build/lib.linux-x86_64-3.6/astropy/utils/tests copying astropy/utils/tests/test_xml.py -> build/lib.linux-x86_64-3.6/astropy/utils/tests copying astropy/utils/tests/test_data.py -> build/lib.linux-x86_64-3.6/astropy/utils/tests copying astropy/utils/tests/test_metadata.py -> build/lib.linux-x86_64-3.6/astropy/utils/tests copying astropy/utils/tests/test_data_info.py -> build/lib.linux-x86_64-3.6/astropy/utils/tests copying astropy/utils/tests/test_introspection.py -> build/lib.linux-x86_64-3.6/astropy/utils/tests copying astropy/utils/tests/test_console.py -> build/lib.linux-x86_64-3.6/astropy/utils/tests copying astropy/utils/tests/test_misc.py -> build/lib.linux-x86_64-3.6/astropy/utils/tests copying astropy/utils/tests/test_codegen.py -> build/lib.linux-x86_64-3.6/astropy/utils/tests copying astropy/utils/tests/test_collections.py -> build/lib.linux-x86_64-3.6/astropy/utils/tests creating build/lib.linux-x86_64-3.6/astropy/utils/iers copying astropy/utils/iers/__init__.py -> build/lib.linux-x86_64-3.6/astropy/utils/iers copying astropy/utils/iers/iers.py -> build/lib.linux-x86_64-3.6/astropy/utils/iers creating build/lib.linux-x86_64-3.6/astropy/utils/xml/tests copying astropy/utils/xml/tests/test_iterparse.py -> build/lib.linux-x86_64-3.6/astropy/utils/xml/tests copying astropy/utils/xml/tests/__init__.py -> build/lib.linux-x86_64-3.6/astropy/utils/xml/tests creating build/lib.linux-x86_64-3.6/astropy/utils/compat/numpy copying astropy/utils/compat/numpy/__init__.py -> build/lib.linux-x86_64-3.6/astropy/utils/compat/numpy creating build/lib.linux-x86_64-3.6/astropy/utils/compat/futures copying astropy/utils/compat/futures/_base.py -> build/lib.linux-x86_64-3.6/astropy/utils/compat/futures copying astropy/utils/compat/futures/__init__.py -> build/lib.linux-x86_64-3.6/astropy/utils/compat/futures copying astropy/utils/compat/futures/process.py -> build/lib.linux-x86_64-3.6/astropy/utils/compat/futures copying astropy/utils/compat/futures/thread.py -> build/lib.linux-x86_64-3.6/astropy/utils/compat/futures creating build/lib.linux-x86_64-3.6/astropy/utils/compat/numpy/core copying astropy/utils/compat/numpy/core/__init__.py -> build/lib.linux-x86_64-3.6/astropy/utils/compat/numpy/core copying astropy/utils/compat/numpy/core/multiarray.py -> build/lib.linux-x86_64-3.6/astropy/utils/compat/numpy/core creating build/lib.linux-x86_64-3.6/astropy/utils/compat/numpy/tests copying astropy/utils/compat/numpy/tests/__init__.py -> build/lib.linux-x86_64-3.6/astropy/utils/compat/numpy/tests copying astropy/utils/compat/numpy/tests/test_broadcast_arrays.py -> build/lib.linux-x86_64-3.6/astropy/utils/compat/numpy/tests copying astropy/utils/compat/numpy/tests/test_matmul.py -> build/lib.linux-x86_64-3.6/astropy/utils/compat/numpy/tests creating build/lib.linux-x86_64-3.6/astropy/utils/compat/numpy/lib copying astropy/utils/compat/numpy/lib/__init__.py -> build/lib.linux-x86_64-3.6/astropy/utils/compat/numpy/lib copying astropy/utils/compat/numpy/lib/stride_tricks.py -> build/lib.linux-x86_64-3.6/astropy/utils/compat/numpy/lib creating build/lib.linux-x86_64-3.6/astropy/utils/iers/tests copying astropy/utils/iers/tests/__init__.py -> build/lib.linux-x86_64-3.6/astropy/utils/iers/tests copying astropy/utils/iers/tests/test_iers.py -> build/lib.linux-x86_64-3.6/astropy/utils/iers/tests creating build/lib.linux-x86_64-3.6/astropy/nddata/tests copying astropy/nddata/tests/test_decorators.py -> build/lib.linux-x86_64-3.6/astropy/nddata/tests copying astropy/nddata/tests/__init__.py -> build/lib.linux-x86_64-3.6/astropy/nddata/tests copying astropy/nddata/tests/test_flag_collection.py -> build/lib.linux-x86_64-3.6/astropy/nddata/tests copying astropy/nddata/tests/test_nddata.py -> build/lib.linux-x86_64-3.6/astropy/nddata/tests copying astropy/nddata/tests/test_ccddata.py -> build/lib.linux-x86_64-3.6/astropy/nddata/tests copying astropy/nddata/tests/test_nddata_base.py -> build/lib.linux-x86_64-3.6/astropy/nddata/tests copying astropy/nddata/tests/test_utils.py -> build/lib.linux-x86_64-3.6/astropy/nddata/tests copying astropy/nddata/tests/test_compat.py -> build/lib.linux-x86_64-3.6/astropy/nddata/tests copying astropy/nddata/tests/test_nduncertainty.py -> build/lib.linux-x86_64-3.6/astropy/nddata/tests creating build/lib.linux-x86_64-3.6/astropy/nddata/mixins copying astropy/nddata/mixins/ndarithmetic.py -> build/lib.linux-x86_64-3.6/astropy/nddata/mixins copying astropy/nddata/mixins/__init__.py -> build/lib.linux-x86_64-3.6/astropy/nddata/mixins copying astropy/nddata/mixins/ndslicing.py -> build/lib.linux-x86_64-3.6/astropy/nddata/mixins copying astropy/nddata/mixins/ndio.py -> build/lib.linux-x86_64-3.6/astropy/nddata/mixins creating build/lib.linux-x86_64-3.6/astropy/nddata/mixins/tests copying astropy/nddata/mixins/tests/test_ndslicing.py -> build/lib.linux-x86_64-3.6/astropy/nddata/mixins/tests copying astropy/nddata/mixins/tests/test_ndio.py -> build/lib.linux-x86_64-3.6/astropy/nddata/mixins/tests copying astropy/nddata/mixins/tests/__init__.py -> build/lib.linux-x86_64-3.6/astropy/nddata/mixins/tests copying astropy/nddata/mixins/tests/test_ndarithmetic.py -> build/lib.linux-x86_64-3.6/astropy/nddata/mixins/tests creating build/lib.linux-x86_64-3.6/astropy/wcs/tests copying astropy/wcs/tests/__init__.py -> build/lib.linux-x86_64-3.6/astropy/wcs/tests copying astropy/wcs/tests/test_wcs.py -> build/lib.linux-x86_64-3.6/astropy/wcs/tests copying astropy/wcs/tests/test_pickle.py -> build/lib.linux-x86_64-3.6/astropy/wcs/tests copying astropy/wcs/tests/test_utils.py -> build/lib.linux-x86_64-3.6/astropy/wcs/tests copying astropy/wcs/tests/test_profiling.py -> build/lib.linux-x86_64-3.6/astropy/wcs/tests copying astropy/wcs/tests/test_wcsprm.py -> build/lib.linux-x86_64-3.6/astropy/wcs/tests creating build/lib.linux-x86_64-3.6/astropy/wcs/tests/extension copying astropy/wcs/tests/extension/__init__.py -> build/lib.linux-x86_64-3.6/astropy/wcs/tests/extension copying astropy/wcs/tests/extension/test_extension.py -> build/lib.linux-x86_64-3.6/astropy/wcs/tests/extension copying astropy/wcs/tests/extension/setup.py -> build/lib.linux-x86_64-3.6/astropy/wcs/tests/extension creating build/lib.linux-x86_64-3.6/astropy/analytic_functions/tests copying astropy/analytic_functions/tests/__init__.py -> build/lib.linux-x86_64-3.6/astropy/analytic_functions/tests copying astropy/analytic_functions/tests/test_blackbody.py -> build/lib.linux-x86_64-3.6/astropy/analytic_functions/tests creating build/lib.linux-x86_64-3.6/astropy/config/tests copying astropy/config/tests/__init__.py -> build/lib.linux-x86_64-3.6/astropy/config/tests copying astropy/config/tests/test_configs.py -> build/lib.linux-x86_64-3.6/astropy/config/tests creating build/lib.linux-x86_64-3.6/astropy/_erfa/tests copying astropy/_erfa/tests/test_erfa.py -> build/lib.linux-x86_64-3.6/astropy/_erfa/tests copying astropy/_erfa/tests/__init__.py -> build/lib.linux-x86_64-3.6/astropy/_erfa/tests creating build/lib.linux-x86_64-3.6/astropy/vo/validator copying astropy/vo/validator/inspect.py -> build/lib.linux-x86_64-3.6/astropy/vo/validator copying astropy/vo/validator/__init__.py -> build/lib.linux-x86_64-3.6/astropy/vo/validator copying astropy/vo/validator/exceptions.py -> build/lib.linux-x86_64-3.6/astropy/vo/validator copying astropy/vo/validator/validate.py -> build/lib.linux-x86_64-3.6/astropy/vo/validator copying astropy/vo/validator/setup_package.py -> build/lib.linux-x86_64-3.6/astropy/vo/validator copying astropy/vo/validator/tstquery.py -> build/lib.linux-x86_64-3.6/astropy/vo/validator creating build/lib.linux-x86_64-3.6/astropy/vo/samp copying astropy/vo/samp/__init__.py -> build/lib.linux-x86_64-3.6/astropy/vo/samp creating build/lib.linux-x86_64-3.6/astropy/vo/client copying astropy/vo/client/__init__.py -> build/lib.linux-x86_64-3.6/astropy/vo/client copying astropy/vo/client/exceptions.py -> build/lib.linux-x86_64-3.6/astropy/vo/client copying astropy/vo/client/setup_package.py -> build/lib.linux-x86_64-3.6/astropy/vo/client copying astropy/vo/client/conesearch.py -> build/lib.linux-x86_64-3.6/astropy/vo/client copying astropy/vo/client/async.py -> build/lib.linux-x86_64-3.6/astropy/vo/client copying astropy/vo/client/vos_catalog.py -> build/lib.linux-x86_64-3.6/astropy/vo/client creating build/lib.linux-x86_64-3.6/astropy/vo/validator/tests copying astropy/vo/validator/tests/test_validate.py -> build/lib.linux-x86_64-3.6/astropy/vo/validator/tests copying astropy/vo/validator/tests/__init__.py -> build/lib.linux-x86_64-3.6/astropy/vo/validator/tests copying astropy/vo/validator/tests/test_inpect.py -> build/lib.linux-x86_64-3.6/astropy/vo/validator/tests creating build/lib.linux-x86_64-3.6/astropy/vo/client/tests copying astropy/vo/client/tests/__init__.py -> build/lib.linux-x86_64-3.6/astropy/vo/client/tests copying astropy/vo/client/tests/test_conesearch.py -> build/lib.linux-x86_64-3.6/astropy/vo/client/tests copying astropy/vo/client/tests/test_vos_catalog.py -> build/lib.linux-x86_64-3.6/astropy/vo/client/tests creating build/lib.linux-x86_64-3.6/astropy/time/tests copying astropy/time/tests/test_methods.py -> build/lib.linux-x86_64-3.6/astropy/time/tests copying astropy/time/tests/test_guess.py -> build/lib.linux-x86_64-3.6/astropy/time/tests copying astropy/time/tests/test_ut1.py -> build/lib.linux-x86_64-3.6/astropy/time/tests copying astropy/time/tests/test_delta.py -> build/lib.linux-x86_64-3.6/astropy/time/tests copying astropy/time/tests/test_comparisons.py -> build/lib.linux-x86_64-3.6/astropy/time/tests copying astropy/time/tests/__init__.py -> build/lib.linux-x86_64-3.6/astropy/time/tests copying astropy/time/tests/test_basic.py -> build/lib.linux-x86_64-3.6/astropy/time/tests copying astropy/time/tests/test_quantity_interaction.py -> build/lib.linux-x86_64-3.6/astropy/time/tests copying astropy/time/tests/test_pickle.py -> build/lib.linux-x86_64-3.6/astropy/time/tests copying astropy/time/tests/test_corrs.py -> build/lib.linux-x86_64-3.6/astropy/time/tests copying astropy/time/tests/test_precision.py -> build/lib.linux-x86_64-3.6/astropy/time/tests copying astropy/time/tests/test_sidereal.py -> build/lib.linux-x86_64-3.6/astropy/time/tests creating build/lib.linux-x86_64-3.6/astropy/table/tests copying astropy/table/tests/test_array.py -> build/lib.linux-x86_64-3.6/astropy/table/tests copying astropy/table/tests/test_column.py -> build/lib.linux-x86_64-3.6/astropy/table/tests copying astropy/table/tests/__init__.py -> build/lib.linux-x86_64-3.6/astropy/table/tests copying astropy/table/tests/test_np_utils.py -> build/lib.linux-x86_64-3.6/astropy/table/tests copying astropy/table/tests/test_mixin.py -> build/lib.linux-x86_64-3.6/astropy/table/tests copying astropy/table/tests/test_jsviewer.py -> build/lib.linux-x86_64-3.6/astropy/table/tests copying astropy/table/tests/test_row.py -> build/lib.linux-x86_64-3.6/astropy/table/tests copying astropy/table/tests/test_bst.py -> build/lib.linux-x86_64-3.6/astropy/table/tests copying astropy/table/tests/test_init_table.py -> build/lib.linux-x86_64-3.6/astropy/table/tests copying astropy/table/tests/test_masked.py -> build/lib.linux-x86_64-3.6/astropy/table/tests copying astropy/table/tests/test_pickle.py -> build/lib.linux-x86_64-3.6/astropy/table/tests copying astropy/table/tests/conftest.py -> build/lib.linux-x86_64-3.6/astropy/table/tests copying astropy/table/tests/test_index.py -> build/lib.linux-x86_64-3.6/astropy/table/tests copying astropy/table/tests/test_operations.py -> build/lib.linux-x86_64-3.6/astropy/table/tests copying astropy/table/tests/test_subclass.py -> build/lib.linux-x86_64-3.6/astropy/table/tests copying astropy/table/tests/test_info.py -> build/lib.linux-x86_64-3.6/astropy/table/tests copying astropy/table/tests/test_groups.py -> build/lib.linux-x86_64-3.6/astropy/table/tests copying astropy/table/tests/test_pprint.py -> build/lib.linux-x86_64-3.6/astropy/table/tests copying astropy/table/tests/test_table.py -> build/lib.linux-x86_64-3.6/astropy/table/tests copying astropy/table/tests/test_item_access.py -> build/lib.linux-x86_64-3.6/astropy/table/tests creating build/lib.linux-x86_64-3.6/astropy/constants/tests copying astropy/constants/tests/__init__.py -> build/lib.linux-x86_64-3.6/astropy/constants/tests copying astropy/constants/tests/test_constant.py -> build/lib.linux-x86_64-3.6/astropy/constants/tests copying astropy/constants/tests/test_prior_version.py -> build/lib.linux-x86_64-3.6/astropy/constants/tests copying astropy/constants/tests/test_pickle.py -> build/lib.linux-x86_64-3.6/astropy/constants/tests creating build/lib.linux-x86_64-3.6/astropy/tests/tests copying astropy/tests/tests/test_open_file_detection.py -> build/lib.linux-x86_64-3.6/astropy/tests/tests copying astropy/tests/tests/__init__.py -> build/lib.linux-x86_64-3.6/astropy/tests/tests copying astropy/tests/tests/test_runner.py -> build/lib.linux-x86_64-3.6/astropy/tests/tests copying astropy/tests/tests/test_skip_remote_data.py -> build/lib.linux-x86_64-3.6/astropy/tests/tests copying astropy/tests/tests/test_run_tests.py -> build/lib.linux-x86_64-3.6/astropy/tests/tests copying astropy/tests/tests/test_socketblocker.py -> build/lib.linux-x86_64-3.6/astropy/tests/tests copying astropy/tests/tests/test_quantity_helpers.py -> build/lib.linux-x86_64-3.6/astropy/tests/tests copying astropy/tests/tests/test_imports.py -> build/lib.linux-x86_64-3.6/astropy/tests/tests creating build/lib.linux-x86_64-3.6/astropy/cosmology/tests copying astropy/cosmology/tests/__init__.py -> build/lib.linux-x86_64-3.6/astropy/cosmology/tests copying astropy/cosmology/tests/test_cosmology.py -> build/lib.linux-x86_64-3.6/astropy/cosmology/tests copying astropy/cosmology/tests/test_pickle.py -> build/lib.linux-x86_64-3.6/astropy/cosmology/tests creating build/lib.linux-x86_64-3.6/astropy/modeling/tests copying astropy/modeling/tests/test_core.py -> build/lib.linux-x86_64-3.6/astropy/modeling/tests copying astropy/modeling/tests/test_models.py -> build/lib.linux-x86_64-3.6/astropy/modeling/tests copying astropy/modeling/tests/__init__.py -> build/lib.linux-x86_64-3.6/astropy/modeling/tests copying astropy/modeling/tests/test_quantities_fitting.py -> build/lib.linux-x86_64-3.6/astropy/modeling/tests copying astropy/modeling/tests/test_fitters.py -> build/lib.linux-x86_64-3.6/astropy/modeling/tests copying astropy/modeling/tests/test_projections.py -> build/lib.linux-x86_64-3.6/astropy/modeling/tests copying astropy/modeling/tests/test_mappings.py -> build/lib.linux-x86_64-3.6/astropy/modeling/tests copying astropy/modeling/tests/test_compound.py -> build/lib.linux-x86_64-3.6/astropy/modeling/tests copying astropy/modeling/tests/test_models_quantities.py -> build/lib.linux-x86_64-3.6/astropy/modeling/tests copying astropy/modeling/tests/test_blackbody.py -> build/lib.linux-x86_64-3.6/astropy/modeling/tests copying astropy/modeling/tests/test_quantities_model.py -> build/lib.linux-x86_64-3.6/astropy/modeling/tests copying astropy/modeling/tests/test_polynomial.py -> build/lib.linux-x86_64-3.6/astropy/modeling/tests copying astropy/modeling/tests/test_quantities_parameters.py -> build/lib.linux-x86_64-3.6/astropy/modeling/tests copying astropy/modeling/tests/example_models.py -> build/lib.linux-x86_64-3.6/astropy/modeling/tests copying astropy/modeling/tests/test_input.py -> build/lib.linux-x86_64-3.6/astropy/modeling/tests copying astropy/modeling/tests/test_rotations.py -> build/lib.linux-x86_64-3.6/astropy/modeling/tests copying astropy/modeling/tests/test_utils.py -> build/lib.linux-x86_64-3.6/astropy/modeling/tests copying astropy/modeling/tests/test_parameters.py -> build/lib.linux-x86_64-3.6/astropy/modeling/tests copying astropy/modeling/tests/utils.py -> build/lib.linux-x86_64-3.6/astropy/modeling/tests copying astropy/modeling/tests/test_quantities_rotations.py -> build/lib.linux-x86_64-3.6/astropy/modeling/tests copying astropy/modeling/tests/test_quantities_evaluation.py -> build/lib.linux-x86_64-3.6/astropy/modeling/tests copying astropy/modeling/tests/irafutil.py -> build/lib.linux-x86_64-3.6/astropy/modeling/tests copying astropy/modeling/tests/test_constraints.py -> build/lib.linux-x86_64-3.6/astropy/modeling/tests copying astropy/modeling/tests/test_functional_models.py -> build/lib.linux-x86_64-3.6/astropy/modeling/tests creating build/lib.linux-x86_64-3.6/astropy/modeling/tests/data copying astropy/modeling/tests/data/__init__.py -> build/lib.linux-x86_64-3.6/astropy/modeling/tests/data creating build/lib.linux-x86_64-3.6/astropy/samp/tests copying astropy/samp/tests/test_client.py -> build/lib.linux-x86_64-3.6/astropy/samp/tests copying astropy/samp/tests/test_helpers.py -> build/lib.linux-x86_64-3.6/astropy/samp/tests copying astropy/samp/tests/__init__.py -> build/lib.linux-x86_64-3.6/astropy/samp/tests copying astropy/samp/tests/test_hub.py -> build/lib.linux-x86_64-3.6/astropy/samp/tests copying astropy/samp/tests/test_hub_script.py -> build/lib.linux-x86_64-3.6/astropy/samp/tests copying astropy/samp/tests/test_errors.py -> build/lib.linux-x86_64-3.6/astropy/samp/tests copying astropy/samp/tests/web_profile_test_helpers.py -> build/lib.linux-x86_64-3.6/astropy/samp/tests copying astropy/samp/tests/test_web_profile.py -> build/lib.linux-x86_64-3.6/astropy/samp/tests copying astropy/samp/tests/test_standard_profile.py -> build/lib.linux-x86_64-3.6/astropy/samp/tests copying astropy/samp/tests/test_hub_proxy.py -> build/lib.linux-x86_64-3.6/astropy/samp/tests creating build/lib.linux-x86_64-3.6/astropy/visualization/wcsaxes copying astropy/visualization/wcsaxes/core.py -> build/lib.linux-x86_64-3.6/astropy/visualization/wcsaxes copying astropy/visualization/wcsaxes/axislabels.py -> build/lib.linux-x86_64-3.6/astropy/visualization/wcsaxes copying astropy/visualization/wcsaxes/coordinate_helpers.py -> build/lib.linux-x86_64-3.6/astropy/visualization/wcsaxes copying astropy/visualization/wcsaxes/__init__.py -> build/lib.linux-x86_64-3.6/astropy/visualization/wcsaxes copying astropy/visualization/wcsaxes/coordinates_map.py -> build/lib.linux-x86_64-3.6/astropy/visualization/wcsaxes copying astropy/visualization/wcsaxes/ticks.py -> build/lib.linux-x86_64-3.6/astropy/visualization/wcsaxes copying astropy/visualization/wcsaxes/frame.py -> build/lib.linux-x86_64-3.6/astropy/visualization/wcsaxes copying astropy/visualization/wcsaxes/coordinate_range.py -> build/lib.linux-x86_64-3.6/astropy/visualization/wcsaxes copying astropy/visualization/wcsaxes/patches.py -> build/lib.linux-x86_64-3.6/astropy/visualization/wcsaxes copying astropy/visualization/wcsaxes/ticklabels.py -> build/lib.linux-x86_64-3.6/astropy/visualization/wcsaxes copying astropy/visualization/wcsaxes/grid_paths.py -> build/lib.linux-x86_64-3.6/astropy/visualization/wcsaxes copying astropy/visualization/wcsaxes/formatter_locator.py -> build/lib.linux-x86_64-3.6/astropy/visualization/wcsaxes copying astropy/visualization/wcsaxes/utils.py -> build/lib.linux-x86_64-3.6/astropy/visualization/wcsaxes copying astropy/visualization/wcsaxes/transforms.py -> build/lib.linux-x86_64-3.6/astropy/visualization/wcsaxes creating build/lib.linux-x86_64-3.6/astropy/visualization/scripts copying astropy/visualization/scripts/__init__.py -> build/lib.linux-x86_64-3.6/astropy/visualization/scripts copying astropy/visualization/scripts/fits2bitmap.py -> build/lib.linux-x86_64-3.6/astropy/visualization/scripts creating build/lib.linux-x86_64-3.6/astropy/visualization/tests copying astropy/visualization/tests/test_norm.py -> build/lib.linux-x86_64-3.6/astropy/visualization/tests copying astropy/visualization/tests/test_interval.py -> build/lib.linux-x86_64-3.6/astropy/visualization/tests copying astropy/visualization/tests/test_lupton_rgb.py -> build/lib.linux-x86_64-3.6/astropy/visualization/tests copying astropy/visualization/tests/__init__.py -> build/lib.linux-x86_64-3.6/astropy/visualization/tests copying astropy/visualization/tests/test_units.py -> build/lib.linux-x86_64-3.6/astropy/visualization/tests copying astropy/visualization/tests/test_stretch.py -> build/lib.linux-x86_64-3.6/astropy/visualization/tests copying astropy/visualization/tests/test_histogram.py -> build/lib.linux-x86_64-3.6/astropy/visualization/tests creating build/lib.linux-x86_64-3.6/astropy/visualization/wcsaxes/tests copying astropy/visualization/wcsaxes/tests/datasets.py -> build/lib.linux-x86_64-3.6/astropy/visualization/wcsaxes/tests copying astropy/visualization/wcsaxes/tests/test_coordinate_helpers.py -> build/lib.linux-x86_64-3.6/astropy/visualization/wcsaxes/tests copying astropy/visualization/wcsaxes/tests/__init__.py -> build/lib.linux-x86_64-3.6/astropy/visualization/wcsaxes/tests copying astropy/visualization/wcsaxes/tests/test_transform_coord_meta.py -> build/lib.linux-x86_64-3.6/astropy/visualization/wcsaxes/tests copying astropy/visualization/wcsaxes/tests/test_frame.py -> build/lib.linux-x86_64-3.6/astropy/visualization/wcsaxes/tests copying astropy/visualization/wcsaxes/tests/test_transforms.py -> build/lib.linux-x86_64-3.6/astropy/visualization/wcsaxes/tests copying astropy/visualization/wcsaxes/tests/test_display_world_coordinates.py -> build/lib.linux-x86_64-3.6/astropy/visualization/wcsaxes/tests copying astropy/visualization/wcsaxes/tests/test_images.py -> build/lib.linux-x86_64-3.6/astropy/visualization/wcsaxes/tests copying astropy/visualization/wcsaxes/tests/test_utils.py -> build/lib.linux-x86_64-3.6/astropy/visualization/wcsaxes/tests copying astropy/visualization/wcsaxes/tests/setup_package.py -> build/lib.linux-x86_64-3.6/astropy/visualization/wcsaxes/tests copying astropy/visualization/wcsaxes/tests/test_misc.py -> build/lib.linux-x86_64-3.6/astropy/visualization/wcsaxes/tests copying astropy/visualization/wcsaxes/tests/test_formatter_locator.py -> build/lib.linux-x86_64-3.6/astropy/visualization/wcsaxes/tests creating build/lib.linux-x86_64-3.6/astropy/visualization/scripts/tests copying astropy/visualization/scripts/tests/__init__.py -> build/lib.linux-x86_64-3.6/astropy/visualization/scripts/tests copying astropy/visualization/scripts/tests/test_fits2bitmap.py -> build/lib.linux-x86_64-3.6/astropy/visualization/scripts/tests creating build/lib.linux-x86_64-3.6/astropy/convolution/tests copying astropy/convolution/tests/__init__.py -> build/lib.linux-x86_64-3.6/astropy/convolution/tests copying astropy/convolution/tests/test_kernel_class.py -> build/lib.linux-x86_64-3.6/astropy/convolution/tests copying astropy/convolution/tests/test_convolve_fft.py -> build/lib.linux-x86_64-3.6/astropy/convolution/tests copying astropy/convolution/tests/test_convolve.py -> build/lib.linux-x86_64-3.6/astropy/convolution/tests copying astropy/convolution/tests/test_convolve_kernels.py -> build/lib.linux-x86_64-3.6/astropy/convolution/tests copying astropy/convolution/tests/test_pickle.py -> build/lib.linux-x86_64-3.6/astropy/convolution/tests copying astropy/convolution/tests/test_discretize.py -> build/lib.linux-x86_64-3.6/astropy/convolution/tests copying astropy/convolution/tests/test_convolve_nddata.py -> build/lib.linux-x86_64-3.6/astropy/convolution/tests copying astropy/convolution/tests/test_convolve_models.py -> build/lib.linux-x86_64-3.6/astropy/convolution/tests copying astropy/convolution/tests/test_convolve_speeds.py -> build/lib.linux-x86_64-3.6/astropy/convolution/tests creating build/lib.linux-x86_64-3.6/astropy/units/format copying astropy/units/format/ogip_lextab.py -> build/lib.linux-x86_64-3.6/astropy/units/format copying astropy/units/format/cds.py -> build/lib.linux-x86_64-3.6/astropy/units/format copying astropy/units/format/generic_lextab.py -> build/lib.linux-x86_64-3.6/astropy/units/format copying astropy/units/format/fits.py -> build/lib.linux-x86_64-3.6/astropy/units/format copying astropy/units/format/ogip_parsetab.py -> build/lib.linux-x86_64-3.6/astropy/units/format copying astropy/units/format/__init__.py -> build/lib.linux-x86_64-3.6/astropy/units/format copying astropy/units/format/generic_parsetab.py -> build/lib.linux-x86_64-3.6/astropy/units/format copying astropy/units/format/ogip.py -> build/lib.linux-x86_64-3.6/astropy/units/format copying astropy/units/format/cds_parsetab.py -> build/lib.linux-x86_64-3.6/astropy/units/format copying astropy/units/format/unicode_format.py -> build/lib.linux-x86_64-3.6/astropy/units/format copying astropy/units/format/cds_lextab.py -> build/lib.linux-x86_64-3.6/astropy/units/format copying astropy/units/format/console.py -> build/lib.linux-x86_64-3.6/astropy/units/format copying astropy/units/format/vounit.py -> build/lib.linux-x86_64-3.6/astropy/units/format copying astropy/units/format/utils.py -> build/lib.linux-x86_64-3.6/astropy/units/format copying astropy/units/format/latex.py -> build/lib.linux-x86_64-3.6/astropy/units/format copying astropy/units/format/generic.py -> build/lib.linux-x86_64-3.6/astropy/units/format copying astropy/units/format/base.py -> build/lib.linux-x86_64-3.6/astropy/units/format creating build/lib.linux-x86_64-3.6/astropy/units/tests copying astropy/units/tests/test_quantity_array_methods.py -> build/lib.linux-x86_64-3.6/astropy/units/tests copying astropy/units/tests/py3_test_quantity_annotations.py -> build/lib.linux-x86_64-3.6/astropy/units/tests copying astropy/units/tests/test_quantity_ufuncs.py -> build/lib.linux-x86_64-3.6/astropy/units/tests copying astropy/units/tests/__init__.py -> build/lib.linux-x86_64-3.6/astropy/units/tests copying astropy/units/tests/test_units.py -> build/lib.linux-x86_64-3.6/astropy/units/tests copying astropy/units/tests/test_quantity.py -> build/lib.linux-x86_64-3.6/astropy/units/tests copying astropy/units/tests/test_format.py -> build/lib.linux-x86_64-3.6/astropy/units/tests copying astropy/units/tests/test_quantity_decorator.py -> build/lib.linux-x86_64-3.6/astropy/units/tests copying astropy/units/tests/test_equivalencies.py -> build/lib.linux-x86_64-3.6/astropy/units/tests copying astropy/units/tests/test_physical.py -> build/lib.linux-x86_64-3.6/astropy/units/tests copying astropy/units/tests/test_deprecated.py -> build/lib.linux-x86_64-3.6/astropy/units/tests copying astropy/units/tests/test_logarithmic.py -> build/lib.linux-x86_64-3.6/astropy/units/tests copying astropy/units/tests/test_quantity_non_ufuncs.py -> build/lib.linux-x86_64-3.6/astropy/units/tests creating build/lib.linux-x86_64-3.6/astropy/units/function copying astropy/units/function/core.py -> build/lib.linux-x86_64-3.6/astropy/units/function copying astropy/units/function/logarithmic.py -> build/lib.linux-x86_64-3.6/astropy/units/function copying astropy/units/function/mixin.py -> build/lib.linux-x86_64-3.6/astropy/units/function copying astropy/units/function/__init__.py -> build/lib.linux-x86_64-3.6/astropy/units/function copying astropy/units/function/units.py -> build/lib.linux-x86_64-3.6/astropy/units/function copying astropy/units/function/magnitude_zero_points.py -> build/lib.linux-x86_64-3.6/astropy/units/function creating build/lib.linux-x86_64-3.6/astropy/extern/bundled copying astropy/extern/bundled/six.py -> build/lib.linux-x86_64-3.6/astropy/extern/bundled copying astropy/extern/bundled/__init__.py -> build/lib.linux-x86_64-3.6/astropy/extern/bundled creating build/lib.linux-x86_64-3.6/astropy/coordinates/tests copying astropy/coordinates/tests/test_sky_coord.py -> build/lib.linux-x86_64-3.6/astropy/coordinates/tests copying astropy/coordinates/tests/test_funcs.py -> build/lib.linux-x86_64-3.6/astropy/coordinates/tests copying astropy/coordinates/tests/test_matrix_utilities.py -> build/lib.linux-x86_64-3.6/astropy/coordinates/tests copying astropy/coordinates/tests/test_representation_methods.py -> build/lib.linux-x86_64-3.6/astropy/coordinates/tests copying astropy/coordinates/tests/test_skyoffset_transformations.py -> build/lib.linux-x86_64-3.6/astropy/coordinates/tests copying astropy/coordinates/tests/test_matching.py -> build/lib.linux-x86_64-3.6/astropy/coordinates/tests copying astropy/coordinates/tests/test_regression.py -> build/lib.linux-x86_64-3.6/astropy/coordinates/tests copying astropy/coordinates/tests/test_angular_separation.py -> build/lib.linux-x86_64-3.6/astropy/coordinates/tests copying astropy/coordinates/tests/test_transformations.py -> build/lib.linux-x86_64-3.6/astropy/coordinates/tests copying astropy/coordinates/tests/test_api_ape5.py -> build/lib.linux-x86_64-3.6/astropy/coordinates/tests copying astropy/coordinates/tests/test_unit_representation.py -> build/lib.linux-x86_64-3.6/astropy/coordinates/tests copying astropy/coordinates/tests/__init__.py -> build/lib.linux-x86_64-3.6/astropy/coordinates/tests copying astropy/coordinates/tests/test_velocity_corrs.py -> build/lib.linux-x86_64-3.6/astropy/coordinates/tests copying astropy/coordinates/tests/test_arrays.py -> build/lib.linux-x86_64-3.6/astropy/coordinates/tests copying astropy/coordinates/tests/test_representation_arithmetic.py -> build/lib.linux-x86_64-3.6/astropy/coordinates/tests copying astropy/coordinates/tests/test_formatting.py -> build/lib.linux-x86_64-3.6/astropy/coordinates/tests copying astropy/coordinates/tests/test_frames.py -> build/lib.linux-x86_64-3.6/astropy/coordinates/tests copying astropy/coordinates/tests/test_earth.py -> build/lib.linux-x86_64-3.6/astropy/coordinates/tests copying astropy/coordinates/tests/test_solar_system.py -> build/lib.linux-x86_64-3.6/astropy/coordinates/tests copying astropy/coordinates/tests/test_finite_difference_velocities.py -> build/lib.linux-x86_64-3.6/astropy/coordinates/tests copying astropy/coordinates/tests/test_celestial_transformations.py -> build/lib.linux-x86_64-3.6/astropy/coordinates/tests copying astropy/coordinates/tests/test_iau_fullstack.py -> build/lib.linux-x86_64-3.6/astropy/coordinates/tests copying astropy/coordinates/tests/test_intermediate_transformations.py -> build/lib.linux-x86_64-3.6/astropy/coordinates/tests copying astropy/coordinates/tests/test_sites.py -> build/lib.linux-x86_64-3.6/astropy/coordinates/tests copying astropy/coordinates/tests/test_representation.py -> build/lib.linux-x86_64-3.6/astropy/coordinates/tests copying astropy/coordinates/tests/test_distance.py -> build/lib.linux-x86_64-3.6/astropy/coordinates/tests copying astropy/coordinates/tests/test_pickle.py -> build/lib.linux-x86_64-3.6/astropy/coordinates/tests copying astropy/coordinates/tests/test_atc_replacements.py -> build/lib.linux-x86_64-3.6/astropy/coordinates/tests copying astropy/coordinates/tests/test_shape_manipulation.py -> build/lib.linux-x86_64-3.6/astropy/coordinates/tests copying astropy/coordinates/tests/utils.py -> build/lib.linux-x86_64-3.6/astropy/coordinates/tests copying astropy/coordinates/tests/test_frames_with_velocity.py -> build/lib.linux-x86_64-3.6/astropy/coordinates/tests copying astropy/coordinates/tests/test_name_resolve.py -> build/lib.linux-x86_64-3.6/astropy/coordinates/tests copying astropy/coordinates/tests/test_angles.py -> build/lib.linux-x86_64-3.6/astropy/coordinates/tests creating build/lib.linux-x86_64-3.6/astropy/coordinates/builtin_frames copying astropy/coordinates/builtin_frames/hcrs.py -> build/lib.linux-x86_64-3.6/astropy/coordinates/builtin_frames copying astropy/coordinates/builtin_frames/galactic_transforms.py -> build/lib.linux-x86_64-3.6/astropy/coordinates/builtin_frames copying astropy/coordinates/builtin_frames/skyoffset.py -> build/lib.linux-x86_64-3.6/astropy/coordinates/builtin_frames copying astropy/coordinates/builtin_frames/ecliptic.py -> build/lib.linux-x86_64-3.6/astropy/coordinates/builtin_frames copying astropy/coordinates/builtin_frames/lsr.py -> build/lib.linux-x86_64-3.6/astropy/coordinates/builtin_frames copying astropy/coordinates/builtin_frames/galactocentric.py -> build/lib.linux-x86_64-3.6/astropy/coordinates/builtin_frames copying astropy/coordinates/builtin_frames/__init__.py -> build/lib.linux-x86_64-3.6/astropy/coordinates/builtin_frames copying astropy/coordinates/builtin_frames/icrs_cirs_transforms.py -> build/lib.linux-x86_64-3.6/astropy/coordinates/builtin_frames copying astropy/coordinates/builtin_frames/fk5.py -> build/lib.linux-x86_64-3.6/astropy/coordinates/builtin_frames copying astropy/coordinates/builtin_frames/galactic.py -> build/lib.linux-x86_64-3.6/astropy/coordinates/builtin_frames copying astropy/coordinates/builtin_frames/gcrs.py -> build/lib.linux-x86_64-3.6/astropy/coordinates/builtin_frames copying astropy/coordinates/builtin_frames/altaz.py -> build/lib.linux-x86_64-3.6/astropy/coordinates/builtin_frames copying astropy/coordinates/builtin_frames/ecliptic_transforms.py -> build/lib.linux-x86_64-3.6/astropy/coordinates/builtin_frames copying astropy/coordinates/builtin_frames/cirs_observed_transforms.py -> build/lib.linux-x86_64-3.6/astropy/coordinates/builtin_frames copying astropy/coordinates/builtin_frames/supergalactic_transforms.py -> build/lib.linux-x86_64-3.6/astropy/coordinates/builtin_frames copying astropy/coordinates/builtin_frames/fk4.py -> build/lib.linux-x86_64-3.6/astropy/coordinates/builtin_frames copying astropy/coordinates/builtin_frames/fk4_fk5_transforms.py -> build/lib.linux-x86_64-3.6/astropy/coordinates/builtin_frames copying astropy/coordinates/builtin_frames/cirs.py -> build/lib.linux-x86_64-3.6/astropy/coordinates/builtin_frames copying astropy/coordinates/builtin_frames/utils.py -> build/lib.linux-x86_64-3.6/astropy/coordinates/builtin_frames copying astropy/coordinates/builtin_frames/baseradec.py -> build/lib.linux-x86_64-3.6/astropy/coordinates/builtin_frames copying astropy/coordinates/builtin_frames/supergalactic.py -> build/lib.linux-x86_64-3.6/astropy/coordinates/builtin_frames copying astropy/coordinates/builtin_frames/icrs_fk5_transforms.py -> build/lib.linux-x86_64-3.6/astropy/coordinates/builtin_frames copying astropy/coordinates/builtin_frames/itrs.py -> build/lib.linux-x86_64-3.6/astropy/coordinates/builtin_frames copying astropy/coordinates/builtin_frames/intermediate_rotation_transforms.py -> build/lib.linux-x86_64-3.6/astropy/coordinates/builtin_frames copying astropy/coordinates/builtin_frames/icrs.py -> build/lib.linux-x86_64-3.6/astropy/coordinates/builtin_frames creating build/lib.linux-x86_64-3.6/astropy/coordinates/tests/accuracy copying astropy/coordinates/tests/accuracy/test_galactic_fk4.py -> build/lib.linux-x86_64-3.6/astropy/coordinates/tests/accuracy copying astropy/coordinates/tests/accuracy/__init__.py -> build/lib.linux-x86_64-3.6/astropy/coordinates/tests/accuracy copying astropy/coordinates/tests/accuracy/test_fk4_no_e_fk4.py -> build/lib.linux-x86_64-3.6/astropy/coordinates/tests/accuracy copying astropy/coordinates/tests/accuracy/generate_ref_ast.py -> build/lib.linux-x86_64-3.6/astropy/coordinates/tests/accuracy copying astropy/coordinates/tests/accuracy/test_altaz_icrs.py -> build/lib.linux-x86_64-3.6/astropy/coordinates/tests/accuracy copying astropy/coordinates/tests/accuracy/test_ecliptic.py -> build/lib.linux-x86_64-3.6/astropy/coordinates/tests/accuracy copying astropy/coordinates/tests/accuracy/test_icrs_fk5.py -> build/lib.linux-x86_64-3.6/astropy/coordinates/tests/accuracy copying astropy/coordinates/tests/accuracy/test_fk4_no_e_fk5.py -> build/lib.linux-x86_64-3.6/astropy/coordinates/tests/accuracy creating build/lib.linux-x86_64-3.6/astropy/io/misc copying astropy/io/misc/connect.py -> build/lib.linux-x86_64-3.6/astropy/io/misc copying astropy/io/misc/__init__.py -> build/lib.linux-x86_64-3.6/astropy/io/misc copying astropy/io/misc/pickle_helpers.py -> build/lib.linux-x86_64-3.6/astropy/io/misc copying astropy/io/misc/yaml.py -> build/lib.linux-x86_64-3.6/astropy/io/misc copying astropy/io/misc/hdf5.py -> build/lib.linux-x86_64-3.6/astropy/io/misc creating build/lib.linux-x86_64-3.6/astropy/io/ascii copying astropy/io/ascii/fixedwidth.py -> build/lib.linux-x86_64-3.6/astropy/io/ascii copying astropy/io/ascii/core.py -> build/lib.linux-x86_64-3.6/astropy/io/ascii copying astropy/io/ascii/cds.py -> build/lib.linux-x86_64-3.6/astropy/io/ascii copying astropy/io/ascii/html.py -> build/lib.linux-x86_64-3.6/astropy/io/ascii copying astropy/io/ascii/connect.py -> build/lib.linux-x86_64-3.6/astropy/io/ascii copying astropy/io/ascii/__init__.py -> build/lib.linux-x86_64-3.6/astropy/io/ascii copying astropy/io/ascii/daophot.py -> build/lib.linux-x86_64-3.6/astropy/io/ascii copying astropy/io/ascii/ipac.py -> build/lib.linux-x86_64-3.6/astropy/io/ascii copying astropy/io/ascii/ecsv.py -> build/lib.linux-x86_64-3.6/astropy/io/ascii copying astropy/io/ascii/sextractor.py -> build/lib.linux-x86_64-3.6/astropy/io/ascii copying astropy/io/ascii/setup_package.py -> build/lib.linux-x86_64-3.6/astropy/io/ascii copying astropy/io/ascii/latex.py -> build/lib.linux-x86_64-3.6/astropy/io/ascii copying astropy/io/ascii/misc.py -> build/lib.linux-x86_64-3.6/astropy/io/ascii copying astropy/io/ascii/fastbasic.py -> build/lib.linux-x86_64-3.6/astropy/io/ascii copying astropy/io/ascii/basic.py -> build/lib.linux-x86_64-3.6/astropy/io/ascii copying astropy/io/ascii/rst.py -> build/lib.linux-x86_64-3.6/astropy/io/ascii copying astropy/io/ascii/ui.py -> build/lib.linux-x86_64-3.6/astropy/io/ascii creating build/lib.linux-x86_64-3.6/astropy/io/tests copying astropy/io/tests/test_registry.py -> build/lib.linux-x86_64-3.6/astropy/io/tests copying astropy/io/tests/__init__.py -> build/lib.linux-x86_64-3.6/astropy/io/tests creating build/lib.linux-x86_64-3.6/astropy/io/votable copying astropy/io/votable/tree.py -> build/lib.linux-x86_64-3.6/astropy/io/votable copying astropy/io/votable/table.py -> build/lib.linux-x86_64-3.6/astropy/io/votable copying astropy/io/votable/volint.py -> build/lib.linux-x86_64-3.6/astropy/io/votable copying astropy/io/votable/xmlutil.py -> build/lib.linux-x86_64-3.6/astropy/io/votable copying astropy/io/votable/connect.py -> build/lib.linux-x86_64-3.6/astropy/io/votable copying astropy/io/votable/__init__.py -> build/lib.linux-x86_64-3.6/astropy/io/votable copying astropy/io/votable/ucd.py -> build/lib.linux-x86_64-3.6/astropy/io/votable copying astropy/io/votable/exceptions.py -> build/lib.linux-x86_64-3.6/astropy/io/votable copying astropy/io/votable/setup_package.py -> build/lib.linux-x86_64-3.6/astropy/io/votable copying astropy/io/votable/util.py -> build/lib.linux-x86_64-3.6/astropy/io/votable copying astropy/io/votable/converters.py -> build/lib.linux-x86_64-3.6/astropy/io/votable creating build/lib.linux-x86_64-3.6/astropy/io/fits copying astropy/io/fits/fitsrec.py -> build/lib.linux-x86_64-3.6/astropy/io/fits copying astropy/io/fits/file.py -> build/lib.linux-x86_64-3.6/astropy/io/fits copying astropy/io/fits/verify.py -> build/lib.linux-x86_64-3.6/astropy/io/fits copying astropy/io/fits/convenience.py -> build/lib.linux-x86_64-3.6/astropy/io/fits copying astropy/io/fits/connect.py -> build/lib.linux-x86_64-3.6/astropy/io/fits copying astropy/io/fits/__init__.py -> build/lib.linux-x86_64-3.6/astropy/io/fits copying astropy/io/fits/diff.py -> build/lib.linux-x86_64-3.6/astropy/io/fits copying astropy/io/fits/column.py -> build/lib.linux-x86_64-3.6/astropy/io/fits copying astropy/io/fits/card.py -> build/lib.linux-x86_64-3.6/astropy/io/fits copying astropy/io/fits/setup_package.py -> build/lib.linux-x86_64-3.6/astropy/io/fits copying astropy/io/fits/util.py -> build/lib.linux-x86_64-3.6/astropy/io/fits copying astropy/io/fits/py3compat.py -> build/lib.linux-x86_64-3.6/astropy/io/fits copying astropy/io/fits/_numpy_hacks.py -> build/lib.linux-x86_64-3.6/astropy/io/fits copying astropy/io/fits/header.py -> build/lib.linux-x86_64-3.6/astropy/io/fits creating build/lib.linux-x86_64-3.6/astropy/io/misc/tests copying astropy/io/misc/tests/test_hdf5.py -> build/lib.linux-x86_64-3.6/astropy/io/misc/tests copying astropy/io/misc/tests/__init__.py -> build/lib.linux-x86_64-3.6/astropy/io/misc/tests copying astropy/io/misc/tests/test_yaml.py -> build/lib.linux-x86_64-3.6/astropy/io/misc/tests copying astropy/io/misc/tests/test_pickle_helpers.py -> build/lib.linux-x86_64-3.6/astropy/io/misc/tests creating build/lib.linux-x86_64-3.6/astropy/io/ascii/tests copying astropy/io/ascii/tests/test_html.py -> build/lib.linux-x86_64-3.6/astropy/io/ascii/tests copying astropy/io/ascii/tests/test_c_reader.py -> build/lib.linux-x86_64-3.6/astropy/io/ascii/tests copying astropy/io/ascii/tests/test_connect.py -> build/lib.linux-x86_64-3.6/astropy/io/ascii/tests copying astropy/io/ascii/tests/test_fixedwidth.py -> build/lib.linux-x86_64-3.6/astropy/io/ascii/tests copying astropy/io/ascii/tests/test_ecsv.py -> build/lib.linux-x86_64-3.6/astropy/io/ascii/tests copying astropy/io/ascii/tests/test_read.py -> build/lib.linux-x86_64-3.6/astropy/io/ascii/tests copying astropy/io/ascii/tests/test_write.py -> build/lib.linux-x86_64-3.6/astropy/io/ascii/tests copying astropy/io/ascii/tests/__init__.py -> build/lib.linux-x86_64-3.6/astropy/io/ascii/tests copying astropy/io/ascii/tests/common.py -> build/lib.linux-x86_64-3.6/astropy/io/ascii/tests copying astropy/io/ascii/tests/test_cds_header_from_readme.py -> build/lib.linux-x86_64-3.6/astropy/io/ascii/tests copying astropy/io/ascii/tests/test_compressed.py -> build/lib.linux-x86_64-3.6/astropy/io/ascii/tests copying astropy/io/ascii/tests/test_rst.py -> build/lib.linux-x86_64-3.6/astropy/io/ascii/tests copying astropy/io/ascii/tests/test_types.py -> build/lib.linux-x86_64-3.6/astropy/io/ascii/tests copying astropy/io/ascii/tests/test_ipac_definitions.py -> build/lib.linux-x86_64-3.6/astropy/io/ascii/tests creating build/lib.linux-x86_64-3.6/astropy/io/votable/tests copying astropy/io/votable/tests/exception_test.py -> build/lib.linux-x86_64-3.6/astropy/io/votable/tests copying astropy/io/votable/tests/util_test.py -> build/lib.linux-x86_64-3.6/astropy/io/votable/tests copying astropy/io/votable/tests/__init__.py -> build/lib.linux-x86_64-3.6/astropy/io/votable/tests copying astropy/io/votable/tests/tree_test.py -> build/lib.linux-x86_64-3.6/astropy/io/votable/tests copying astropy/io/votable/tests/ucd_test.py -> build/lib.linux-x86_64-3.6/astropy/io/votable/tests copying astropy/io/votable/tests/converter_test.py -> build/lib.linux-x86_64-3.6/astropy/io/votable/tests copying astropy/io/votable/tests/vo_test.py -> build/lib.linux-x86_64-3.6/astropy/io/votable/tests copying astropy/io/votable/tests/table_test.py -> build/lib.linux-x86_64-3.6/astropy/io/votable/tests creating build/lib.linux-x86_64-3.6/astropy/io/votable/validator copying astropy/io/votable/validator/html.py -> build/lib.linux-x86_64-3.6/astropy/io/votable/validator copying astropy/io/votable/validator/result.py -> build/lib.linux-x86_64-3.6/astropy/io/votable/validator copying astropy/io/votable/validator/__init__.py -> build/lib.linux-x86_64-3.6/astropy/io/votable/validator copying astropy/io/votable/validator/main.py -> build/lib.linux-x86_64-3.6/astropy/io/votable/validator creating build/lib.linux-x86_64-3.6/astropy/io/fits/hdu copying astropy/io/fits/hdu/table.py -> build/lib.linux-x86_64-3.6/astropy/io/fits/hdu copying astropy/io/fits/hdu/__init__.py -> build/lib.linux-x86_64-3.6/astropy/io/fits/hdu copying astropy/io/fits/hdu/groups.py -> build/lib.linux-x86_64-3.6/astropy/io/fits/hdu copying astropy/io/fits/hdu/compressed.py -> build/lib.linux-x86_64-3.6/astropy/io/fits/hdu copying astropy/io/fits/hdu/hdulist.py -> build/lib.linux-x86_64-3.6/astropy/io/fits/hdu copying astropy/io/fits/hdu/image.py -> build/lib.linux-x86_64-3.6/astropy/io/fits/hdu copying astropy/io/fits/hdu/nonstandard.py -> build/lib.linux-x86_64-3.6/astropy/io/fits/hdu copying astropy/io/fits/hdu/streaming.py -> build/lib.linux-x86_64-3.6/astropy/io/fits/hdu copying astropy/io/fits/hdu/base.py -> build/lib.linux-x86_64-3.6/astropy/io/fits/hdu creating build/lib.linux-x86_64-3.6/astropy/io/fits/scripts copying astropy/io/fits/scripts/__init__.py -> build/lib.linux-x86_64-3.6/astropy/io/fits/scripts copying astropy/io/fits/scripts/fitsdiff.py -> build/lib.linux-x86_64-3.6/astropy/io/fits/scripts copying astropy/io/fits/scripts/fitsheader.py -> build/lib.linux-x86_64-3.6/astropy/io/fits/scripts copying astropy/io/fits/scripts/fitsinfo.py -> build/lib.linux-x86_64-3.6/astropy/io/fits/scripts copying astropy/io/fits/scripts/fitscheck.py -> build/lib.linux-x86_64-3.6/astropy/io/fits/scripts creating build/lib.linux-x86_64-3.6/astropy/io/fits/tests copying astropy/io/fits/tests/test_core.py -> build/lib.linux-x86_64-3.6/astropy/io/fits/tests copying astropy/io/fits/tests/test_division.py -> build/lib.linux-x86_64-3.6/astropy/io/fits/tests copying astropy/io/fits/tests/test_connect.py -> build/lib.linux-x86_64-3.6/astropy/io/fits/tests copying astropy/io/fits/tests/test_nonstandard.py -> build/lib.linux-x86_64-3.6/astropy/io/fits/tests copying astropy/io/fits/tests/test_hdulist.py -> build/lib.linux-x86_64-3.6/astropy/io/fits/tests copying astropy/io/fits/tests/__init__.py -> build/lib.linux-x86_64-3.6/astropy/io/fits/tests copying astropy/io/fits/tests/test_structured.py -> build/lib.linux-x86_64-3.6/astropy/io/fits/tests copying astropy/io/fits/tests/test_image.py -> build/lib.linux-x86_64-3.6/astropy/io/fits/tests copying astropy/io/fits/tests/test_util.py -> build/lib.linux-x86_64-3.6/astropy/io/fits/tests copying astropy/io/fits/tests/test_checksum.py -> build/lib.linux-x86_64-3.6/astropy/io/fits/tests copying astropy/io/fits/tests/test_convenience.py -> build/lib.linux-x86_64-3.6/astropy/io/fits/tests copying astropy/io/fits/tests/test_header.py -> build/lib.linux-x86_64-3.6/astropy/io/fits/tests copying astropy/io/fits/tests/test_uint.py -> build/lib.linux-x86_64-3.6/astropy/io/fits/tests copying astropy/io/fits/tests/test_groups.py -> build/lib.linux-x86_64-3.6/astropy/io/fits/tests copying astropy/io/fits/tests/test_diff.py -> build/lib.linux-x86_64-3.6/astropy/io/fits/tests copying astropy/io/fits/tests/test_table.py -> build/lib.linux-x86_64-3.6/astropy/io/fits/tests copying astropy/io/fits/tests/test_fitsdiff.py -> build/lib.linux-x86_64-3.6/astropy/io/fits/tests creating build/lib.linux-x86_64-3.6/astropy/wcs/include creating build/lib.linux-x86_64-3.6/astropy/wcs/include/astropy_wcs copying astropy/wcs/include/astropy_wcs/astropy_wcs.h -> build/lib.linux-x86_64-3.6/astropy/wcs/include/astropy_wcs copying astropy/wcs/include/astropy_wcs/astropy_wcs_api.h -> build/lib.linux-x86_64-3.6/astropy/wcs/include/astropy_wcs copying astropy/wcs/include/astropy_wcs/distortion.h -> build/lib.linux-x86_64-3.6/astropy/wcs/include/astropy_wcs copying astropy/wcs/include/astropy_wcs/isnan.h -> build/lib.linux-x86_64-3.6/astropy/wcs/include/astropy_wcs copying astropy/wcs/include/astropy_wcs/pipeline.h -> build/lib.linux-x86_64-3.6/astropy/wcs/include/astropy_wcs copying astropy/wcs/include/astropy_wcs/pyutil.h -> build/lib.linux-x86_64-3.6/astropy/wcs/include/astropy_wcs copying astropy/wcs/include/astropy_wcs/sip.h -> build/lib.linux-x86_64-3.6/astropy/wcs/include/astropy_wcs copying astropy/wcs/include/astropy_wcs/util.h -> build/lib.linux-x86_64-3.6/astropy/wcs/include/astropy_wcs copying astropy/wcs/include/astropy_wcs_api.h -> build/lib.linux-x86_64-3.6/astropy/wcs/include copying astropy/tests/coveragerc -> build/lib.linux-x86_64-3.6/astropy/tests creating build/lib.linux-x86_64-3.6/astropy/samp/data copying astropy/samp/data/astropy_icon.png -> build/lib.linux-x86_64-3.6/astropy/samp/data copying astropy/samp/data/clientaccesspolicy.xml -> build/lib.linux-x86_64-3.6/astropy/samp/data copying astropy/samp/data/crossdomain.xml -> build/lib.linux-x86_64-3.6/astropy/samp/data creating build/lib.linux-x86_64-3.6/astropy/coordinates/data copying astropy/coordinates/data/constellation_data_roman87.dat -> build/lib.linux-x86_64-3.6/astropy/coordinates/data copying astropy/coordinates/data/constellation_names.dat -> build/lib.linux-x86_64-3.6/astropy/coordinates/data copying astropy/coordinates/data/sites.json -> build/lib.linux-x86_64-3.6/astropy/coordinates/data creating build/lib.linux-x86_64-3.6/astropy/utils/tests/data creating build/lib.linux-x86_64-3.6/astropy/utils/tests/data/test_package copying astropy/utils/tests/data/test_package/__init__.py -> build/lib.linux-x86_64-3.6/astropy/utils/tests/data/test_package creating build/lib.linux-x86_64-3.6/astropy/utils/tests/data/test_package/data copying astropy/utils/tests/data/test_package/data/foo.txt -> build/lib.linux-x86_64-3.6/astropy/utils/tests/data/test_package/data copying astropy/utils/tests/data/local.dat -> build/lib.linux-x86_64-3.6/astropy/utils/tests/data copying astropy/utils/tests/data/unicode.txt -> build/lib.linux-x86_64-3.6/astropy/utils/tests/data copying astropy/utils/tests/data/local.dat.gz -> build/lib.linux-x86_64-3.6/astropy/utils/tests/data copying astropy/utils/tests/data/unicode.txt.gz -> build/lib.linux-x86_64-3.6/astropy/utils/tests/data copying astropy/utils/tests/data/local.dat.bz2 -> build/lib.linux-x86_64-3.6/astropy/utils/tests/data copying astropy/utils/tests/data/unicode.txt.bz2 -> build/lib.linux-x86_64-3.6/astropy/utils/tests/data copying astropy/utils/tests/data/local.dat.xz -> build/lib.linux-x86_64-3.6/astropy/utils/tests/data copying astropy/utils/tests/data/unicode.txt.xz -> build/lib.linux-x86_64-3.6/astropy/utils/tests/data copying astropy/utils/tests/data/.hidden_file.txt -> build/lib.linux-x86_64-3.6/astropy/utils/tests/data copying astropy/utils/tests/data/alias.cfg -> build/lib.linux-x86_64-3.6/astropy/utils/tests/data creating build/lib.linux-x86_64-3.6/astropy/utils/iers/data copying astropy/utils/iers/data/ReadMe.eopc04_IAU2000 -> build/lib.linux-x86_64-3.6/astropy/utils/iers/data copying astropy/utils/iers/data/ReadMe.finals2000A -> build/lib.linux-x86_64-3.6/astropy/utils/iers/data copying astropy/utils/iers/data/eopc04_IAU2000.62-now -> build/lib.linux-x86_64-3.6/astropy/utils/iers/data copying astropy/utils/iers/tests/finals2000A-2016-04-30-test -> build/lib.linux-x86_64-3.6/astropy/utils/iers/tests copying astropy/utils/iers/tests/finals2000A-2016-02-30-test -> build/lib.linux-x86_64-3.6/astropy/utils/iers/tests copying astropy/utils/iers/tests/iers_a_excerpt -> build/lib.linux-x86_64-3.6/astropy/utils/iers/tests creating build/lib.linux-x86_64-3.6/astropy/nddata/tests/data copying astropy/nddata/tests/data/sip-wcs.fits -> build/lib.linux-x86_64-3.6/astropy/nddata/tests/data creating build/lib.linux-x86_64-3.6/astropy/wcs/tests/data copying astropy/wcs/tests/data/outside_sky.hdr -> build/lib.linux-x86_64-3.6/astropy/wcs/tests/data copying astropy/wcs/tests/data/tpvonly.hdr -> build/lib.linux-x86_64-3.6/astropy/wcs/tests/data copying astropy/wcs/tests/data/unit.hdr -> build/lib.linux-x86_64-3.6/astropy/wcs/tests/data copying astropy/wcs/tests/data/sip-broken.hdr -> build/lib.linux-x86_64-3.6/astropy/wcs/tests/data copying astropy/wcs/tests/data/sub-segfault.hdr -> build/lib.linux-x86_64-3.6/astropy/wcs/tests/data copying astropy/wcs/tests/data/defunct_keywords.hdr -> build/lib.linux-x86_64-3.6/astropy/wcs/tests/data copying astropy/wcs/tests/data/3d_cd.hdr -> build/lib.linux-x86_64-3.6/astropy/wcs/tests/data copying astropy/wcs/tests/data/zpn-hole.hdr -> build/lib.linux-x86_64-3.6/astropy/wcs/tests/data copying astropy/wcs/tests/data/siponly.hdr -> build/lib.linux-x86_64-3.6/astropy/wcs/tests/data copying astropy/wcs/tests/data/2wcses.hdr -> build/lib.linux-x86_64-3.6/astropy/wcs/tests/data copying astropy/wcs/tests/data/nonstandard_units.hdr -> build/lib.linux-x86_64-3.6/astropy/wcs/tests/data copying astropy/wcs/tests/data/irac_sip.hdr -> build/lib.linux-x86_64-3.6/astropy/wcs/tests/data copying astropy/wcs/tests/data/invalid_header.hdr -> build/lib.linux-x86_64-3.6/astropy/wcs/tests/data copying astropy/wcs/tests/data/locale.hdr -> build/lib.linux-x86_64-3.6/astropy/wcs/tests/data copying astropy/wcs/tests/data/too_many_pv.hdr -> build/lib.linux-x86_64-3.6/astropy/wcs/tests/data copying astropy/wcs/tests/data/sip.fits -> build/lib.linux-x86_64-3.6/astropy/wcs/tests/data copying astropy/wcs/tests/data/header_newlines.fits -> build/lib.linux-x86_64-3.6/astropy/wcs/tests/data copying astropy/wcs/tests/data/sip2.fits -> build/lib.linux-x86_64-3.6/astropy/wcs/tests/data copying astropy/wcs/tests/data/j94f05bgq_flt.fits -> build/lib.linux-x86_64-3.6/astropy/wcs/tests/data copying astropy/wcs/tests/data/dist.fits -> build/lib.linux-x86_64-3.6/astropy/wcs/tests/data copying astropy/wcs/tests/data/validate.fits -> build/lib.linux-x86_64-3.6/astropy/wcs/tests/data copying astropy/wcs/tests/data/validate.5.13.txt -> build/lib.linux-x86_64-3.6/astropy/wcs/tests/data copying astropy/wcs/tests/data/validate.5.0.txt -> build/lib.linux-x86_64-3.6/astropy/wcs/tests/data copying astropy/wcs/tests/data/validate.txt -> build/lib.linux-x86_64-3.6/astropy/wcs/tests/data copying astropy/wcs/tests/data/dist_lookup.fits.gz -> build/lib.linux-x86_64-3.6/astropy/wcs/tests/data creating build/lib.linux-x86_64-3.6/astropy/wcs/tests/maps copying astropy/wcs/tests/maps/1904-66_QSC.hdr -> build/lib.linux-x86_64-3.6/astropy/wcs/tests/maps copying astropy/wcs/tests/maps/1904-66_STG.hdr -> build/lib.linux-x86_64-3.6/astropy/wcs/tests/maps copying astropy/wcs/tests/maps/1904-66_ZEA.hdr -> build/lib.linux-x86_64-3.6/astropy/wcs/tests/maps copying astropy/wcs/tests/maps/1904-66_MOL.hdr -> build/lib.linux-x86_64-3.6/astropy/wcs/tests/maps copying astropy/wcs/tests/maps/1904-66_COP.hdr -> build/lib.linux-x86_64-3.6/astropy/wcs/tests/maps copying astropy/wcs/tests/maps/1904-66_SIN.hdr -> build/lib.linux-x86_64-3.6/astropy/wcs/tests/maps copying astropy/wcs/tests/maps/1904-66_SZP.hdr -> build/lib.linux-x86_64-3.6/astropy/wcs/tests/maps copying astropy/wcs/tests/maps/1904-66_BON.hdr -> build/lib.linux-x86_64-3.6/astropy/wcs/tests/maps copying astropy/wcs/tests/maps/1904-66_CEA.hdr -> build/lib.linux-x86_64-3.6/astropy/wcs/tests/maps copying astropy/wcs/tests/maps/1904-66_HPX.hdr -> build/lib.linux-x86_64-3.6/astropy/wcs/tests/maps copying astropy/wcs/tests/maps/1904-66_COD.hdr -> build/lib.linux-x86_64-3.6/astropy/wcs/tests/maps copying astropy/wcs/tests/maps/1904-66_PCO.hdr -> build/lib.linux-x86_64-3.6/astropy/wcs/tests/maps copying astropy/wcs/tests/maps/1904-66_ZPN.hdr -> build/lib.linux-x86_64-3.6/astropy/wcs/tests/maps copying astropy/wcs/tests/maps/1904-66_TAN.hdr -> build/lib.linux-x86_64-3.6/astropy/wcs/tests/maps copying astropy/wcs/tests/maps/1904-66_AIR.hdr -> build/lib.linux-x86_64-3.6/astropy/wcs/tests/maps copying astropy/wcs/tests/maps/1904-66_PAR.hdr -> build/lib.linux-x86_64-3.6/astropy/wcs/tests/maps copying astropy/wcs/tests/maps/1904-66_NCP.hdr -> build/lib.linux-x86_64-3.6/astropy/wcs/tests/maps copying astropy/wcs/tests/maps/1904-66_ARC.hdr -> build/lib.linux-x86_64-3.6/astropy/wcs/tests/maps copying astropy/wcs/tests/maps/1904-66_CAR.hdr -> build/lib.linux-x86_64-3.6/astropy/wcs/tests/maps copying astropy/wcs/tests/maps/1904-66_COE.hdr -> build/lib.linux-x86_64-3.6/astropy/wcs/tests/maps copying astropy/wcs/tests/maps/1904-66_MER.hdr -> build/lib.linux-x86_64-3.6/astropy/wcs/tests/maps copying astropy/wcs/tests/maps/1904-66_CSC.hdr -> build/lib.linux-x86_64-3.6/astropy/wcs/tests/maps copying astropy/wcs/tests/maps/1904-66_SFL.hdr -> build/lib.linux-x86_64-3.6/astropy/wcs/tests/maps copying astropy/wcs/tests/maps/1904-66_AZP.hdr -> build/lib.linux-x86_64-3.6/astropy/wcs/tests/maps copying astropy/wcs/tests/maps/1904-66_CYP.hdr -> build/lib.linux-x86_64-3.6/astropy/wcs/tests/maps copying astropy/wcs/tests/maps/1904-66_TSC.hdr -> build/lib.linux-x86_64-3.6/astropy/wcs/tests/maps copying astropy/wcs/tests/maps/1904-66_COO.hdr -> build/lib.linux-x86_64-3.6/astropy/wcs/tests/maps copying astropy/wcs/tests/maps/1904-66_AIT.hdr -> build/lib.linux-x86_64-3.6/astropy/wcs/tests/maps creating build/lib.linux-x86_64-3.6/astropy/wcs/tests/spectra copying astropy/wcs/tests/spectra/orion-wave-1.hdr -> build/lib.linux-x86_64-3.6/astropy/wcs/tests/spectra copying astropy/wcs/tests/spectra/orion-velo-4.hdr -> build/lib.linux-x86_64-3.6/astropy/wcs/tests/spectra copying astropy/wcs/tests/spectra/orion-freq-4.hdr -> build/lib.linux-x86_64-3.6/astropy/wcs/tests/spectra copying astropy/wcs/tests/spectra/orion-velo-1.hdr -> build/lib.linux-x86_64-3.6/astropy/wcs/tests/spectra copying astropy/wcs/tests/spectra/orion-wave-4.hdr -> build/lib.linux-x86_64-3.6/astropy/wcs/tests/spectra copying astropy/wcs/tests/spectra/orion-freq-1.hdr -> build/lib.linux-x86_64-3.6/astropy/wcs/tests/spectra copying astropy/wcs/tests/extension/wcsapi_test.c -> build/lib.linux-x86_64-3.6/astropy/wcs/tests/extension creating build/lib.linux-x86_64-3.6/astropy/config/tests/data copying astropy/config/tests/data/alias.cfg -> build/lib.linux-x86_64-3.6/astropy/config/tests/data copying astropy/config/tests/data/astropy.0.3.cfg -> build/lib.linux-x86_64-3.6/astropy/config/tests/data copying astropy/config/tests/data/astropy.0.3.windows.cfg -> build/lib.linux-x86_64-3.6/astropy/config/tests/data copying astropy/config/tests/data/not_empty.cfg -> build/lib.linux-x86_64-3.6/astropy/config/tests/data copying astropy/config/tests/data/deprecated.cfg -> build/lib.linux-x86_64-3.6/astropy/config/tests/data copying astropy/config/tests/data/empty.cfg -> build/lib.linux-x86_64-3.6/astropy/config/tests/data creating build/lib.linux-x86_64-3.6/astropy/vo/validator/data copying astropy/vo/validator/data/conesearch_urls.txt -> build/lib.linux-x86_64-3.6/astropy/vo/validator/data creating build/lib.linux-x86_64-3.6/astropy/vo/validator/tests/data copying astropy/vo/validator/tests/data/conesearch_good.json -> build/lib.linux-x86_64-3.6/astropy/vo/validator/tests/data copying astropy/vo/validator/tests/data/conesearch_warn.json -> build/lib.linux-x86_64-3.6/astropy/vo/validator/tests/data copying astropy/vo/validator/tests/data/conesearch_exception.json -> build/lib.linux-x86_64-3.6/astropy/vo/validator/tests/data copying astropy/vo/validator/tests/data/conesearch_error.json -> build/lib.linux-x86_64-3.6/astropy/vo/validator/tests/data copying astropy/vo/validator/tests/data/vao_conesearch_sites_121107_subset.xml -> build/lib.linux-x86_64-3.6/astropy/vo/validator/tests/data copying astropy/vo/validator/tests/data/listcats1.out -> build/lib.linux-x86_64-3.6/astropy/vo/validator/tests/data copying astropy/vo/validator/tests/data/tally.out -> build/lib.linux-x86_64-3.6/astropy/vo/validator/tests/data copying astropy/vo/validator/tests/data/printcat.out -> build/lib.linux-x86_64-3.6/astropy/vo/validator/tests/data copying astropy/vo/validator/tests/data/listcats2.out -> build/lib.linux-x86_64-3.6/astropy/vo/validator/tests/data creating build/lib.linux-x86_64-3.6/astropy/vo/client/tests/data copying astropy/vo/client/tests/data/conesearch_error2.xml -> build/lib.linux-x86_64-3.6/astropy/vo/client/tests/data copying astropy/vo/client/tests/data/conesearch_error4.xml -> build/lib.linux-x86_64-3.6/astropy/vo/client/tests/data copying astropy/vo/client/tests/data/conesearch_error3.xml -> build/lib.linux-x86_64-3.6/astropy/vo/client/tests/data copying astropy/vo/client/tests/data/conesearch_error1.xml -> build/lib.linux-x86_64-3.6/astropy/vo/client/tests/data copying astropy/vo/client/tests/data/basic.json -> build/lib.linux-x86_64-3.6/astropy/vo/client/tests/data creating build/lib.linux-x86_64-3.6/astropy/tests/tests/data copying astropy/tests/tests/data/open_file_detection.txt -> build/lib.linux-x86_64-3.6/astropy/tests/tests/data copying astropy/modeling/tests/data/idcompspec.fits -> build/lib.linux-x86_64-3.6/astropy/modeling/tests/data copying astropy/modeling/tests/data/1904-66_AZP.fits -> build/lib.linux-x86_64-3.6/astropy/modeling/tests/data copying astropy/modeling/tests/data/hst_sip.hdr -> build/lib.linux-x86_64-3.6/astropy/modeling/tests/data copying astropy/modeling/tests/data/irac_sip.hdr -> build/lib.linux-x86_64-3.6/astropy/modeling/tests/data creating build/lib.linux-x86_64-3.6/astropy/visualization/wcsaxes/tests/data copying astropy/visualization/wcsaxes/tests/data/rosat_header -> build/lib.linux-x86_64-3.6/astropy/visualization/wcsaxes/tests/data copying astropy/visualization/wcsaxes/tests/data/msx_header -> build/lib.linux-x86_64-3.6/astropy/visualization/wcsaxes/tests/data copying astropy/visualization/wcsaxes/tests/data/slice_header -> build/lib.linux-x86_64-3.6/astropy/visualization/wcsaxes/tests/data copying astropy/visualization/wcsaxes/tests/data/cube_header -> build/lib.linux-x86_64-3.6/astropy/visualization/wcsaxes/tests/data copying astropy/visualization/wcsaxes/tests/data/2MASS_k_header -> build/lib.linux-x86_64-3.6/astropy/visualization/wcsaxes/tests/data copying astropy/coordinates/tests/accuracy/galactic_fk4.csv -> build/lib.linux-x86_64-3.6/astropy/coordinates/tests/accuracy copying astropy/coordinates/tests/accuracy/icrs_fk5.csv -> build/lib.linux-x86_64-3.6/astropy/coordinates/tests/accuracy copying astropy/coordinates/tests/accuracy/fk4_no_e_fk5.csv -> build/lib.linux-x86_64-3.6/astropy/coordinates/tests/accuracy copying astropy/coordinates/tests/accuracy/fk4_no_e_fk4.csv -> build/lib.linux-x86_64-3.6/astropy/coordinates/tests/accuracy creating build/lib.linux-x86_64-3.6/astropy/io/votable/data copying astropy/io/votable/data/ucd1p-words.txt -> build/lib.linux-x86_64-3.6/astropy/io/votable/data copying astropy/io/votable/data/VOTable.v1.1.xsd -> build/lib.linux-x86_64-3.6/astropy/io/votable/data copying astropy/io/votable/data/VOTable.v1.3.xsd -> build/lib.linux-x86_64-3.6/astropy/io/votable/data copying astropy/io/votable/data/VOTable.v1.2.xsd -> build/lib.linux-x86_64-3.6/astropy/io/votable/data copying astropy/io/votable/data/VOTable.dtd -> build/lib.linux-x86_64-3.6/astropy/io/votable/data creating build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t creating build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t/vizier copying astropy/io/ascii/tests/t/vizier/ReadMe -> build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t/vizier copying astropy/io/ascii/tests/t/vizier/table1.dat -> build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t/vizier copying astropy/io/ascii/tests/t/vizier/table5.dat -> build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t/vizier copying astropy/io/ascii/tests/t/apostrophe.rdb -> build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/apostrophe.tab -> build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/bad.txt -> build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/bars_at_ends.txt -> build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/cds.dat -> build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/cds_malformed.dat -> build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t creating build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t/cds creating build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t/cds/glob copying astropy/io/ascii/tests/t/cds/glob/ReadMe -> build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t/cds/glob copying astropy/io/ascii/tests/t/cds/glob/lmxbrefs.dat -> build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t/cds/glob creating build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t/cds/multi copying astropy/io/ascii/tests/t/cds/multi/ReadMe -> build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t/cds/multi copying astropy/io/ascii/tests/t/cds/multi/lhs2065.dat -> build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t/cds/multi copying astropy/io/ascii/tests/t/cds/multi/lp944-20.dat -> build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t/cds/multi copying astropy/io/ascii/tests/t/cds2.dat -> build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/commented_header.dat -> build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/commented_header2.dat -> build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/continuation.dat -> build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/daophot.dat -> build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/daophot2.dat -> build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/daophot3.dat -> build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/daophot4.dat -> build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/sextractor.dat -> build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/sextractor2.dat -> build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/sextractor3.dat -> build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/daophot.dat.gz -> build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/fill_values.txt -> build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/html.html -> build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/html2.html -> build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/ipac.dat -> build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/ipac.dat.bz2 -> build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/ipac.dat.xz -> build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/latex1.tex -> build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/latex1.tex.gz -> build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/latex2.tex -> build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/latex3.tex -> build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/nls1_stackinfo.dbout -> build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/no_data_cds.dat -> build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/no_data_daophot.dat -> build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/no_data_sextractor.dat -> build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/no_data_ipac.dat -> build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/no_data_with_header.dat -> build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/no_data_without_header.dat -> build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/short.rdb -> build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/short.rdb.bz2 -> build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/short.rdb.gz -> build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/short.rdb.xz -> build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/short.tab -> build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/simple.txt -> build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/simple2.txt -> build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/simple3.txt -> build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/simple4.txt -> build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/simple5.txt -> build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/space_delim_blank_lines.txt -> build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/space_delim_no_header.dat -> build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/space_delim_no_names.dat -> build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/test4.dat -> build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/test5.dat -> build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/vots_spec.dat -> build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/whitespace.dat -> build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/simple_csv.csv -> build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/simple_csv_missing.csv -> build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/fixed_width_2_line.txt -> build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t creating build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t/cds/description copying astropy/io/ascii/tests/t/cds/description/ReadMe -> build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t/cds/description copying astropy/io/ascii/tests/t/cds/description/table.dat -> build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t/cds/description creating build/lib.linux-x86_64-3.6/astropy/io/votable/tests/data copying astropy/io/votable/tests/data/names.xml -> build/lib.linux-x86_64-3.6/astropy/io/votable/tests/data copying astropy/io/votable/tests/data/gemini.xml -> build/lib.linux-x86_64-3.6/astropy/io/votable/tests/data copying astropy/io/votable/tests/data/empty_table.xml -> build/lib.linux-x86_64-3.6/astropy/io/votable/tests/data copying astropy/io/votable/tests/data/irsa-nph-m31.xml -> build/lib.linux-x86_64-3.6/astropy/io/votable/tests/data copying astropy/io/votable/tests/data/nonstandard_units.xml -> build/lib.linux-x86_64-3.6/astropy/io/votable/tests/data copying astropy/io/votable/tests/data/no_resource.xml -> build/lib.linux-x86_64-3.6/astropy/io/votable/tests/data copying astropy/io/votable/tests/data/irsa-nph-error.xml -> build/lib.linux-x86_64-3.6/astropy/io/votable/tests/data copying astropy/io/votable/tests/data/custom_datatype.xml -> build/lib.linux-x86_64-3.6/astropy/io/votable/tests/data copying astropy/io/votable/tests/data/regression.xml -> build/lib.linux-x86_64-3.6/astropy/io/votable/tests/data copying astropy/io/votable/tests/data/regression.bin.tabledata.truth.1.3.xml -> build/lib.linux-x86_64-3.6/astropy/io/votable/tests/data copying astropy/io/votable/tests/data/regression.bin.tabledata.truth.1.1.xml -> build/lib.linux-x86_64-3.6/astropy/io/votable/tests/data copying astropy/io/votable/tests/data/too_many_columns.xml.gz -> build/lib.linux-x86_64-3.6/astropy/io/votable/tests/data copying astropy/io/votable/tests/data/tb.fits -> build/lib.linux-x86_64-3.6/astropy/io/votable/tests/data copying astropy/io/votable/tests/data/no_resource.txt -> build/lib.linux-x86_64-3.6/astropy/io/votable/tests/data copying astropy/io/votable/tests/data/validation.txt -> build/lib.linux-x86_64-3.6/astropy/io/votable/tests/data creating build/lib.linux-x86_64-3.6/astropy/io/votable/validator/urls copying astropy/io/votable/validator/urls/cone.broken.dat.gz -> build/lib.linux-x86_64-3.6/astropy/io/votable/validator/urls copying astropy/io/votable/validator/urls/cone.big.dat.gz -> build/lib.linux-x86_64-3.6/astropy/io/votable/validator/urls copying astropy/io/votable/validator/urls/cone.incorrect.dat.gz -> build/lib.linux-x86_64-3.6/astropy/io/votable/validator/urls copying astropy/io/votable/validator/urls/cone.good.dat.gz -> build/lib.linux-x86_64-3.6/astropy/io/votable/validator/urls creating build/lib.linux-x86_64-3.6/astropy/io/fits/tests/data copying astropy/io/fits/tests/data/test0.fits -> build/lib.linux-x86_64-3.6/astropy/io/fits/tests/data copying astropy/io/fits/tests/data/zerowidth.fits -> build/lib.linux-x86_64-3.6/astropy/io/fits/tests/data copying astropy/io/fits/tests/data/ascii.fits -> build/lib.linux-x86_64-3.6/astropy/io/fits/tests/data copying astropy/io/fits/tests/data/arange.fits -> build/lib.linux-x86_64-3.6/astropy/io/fits/tests/data copying astropy/io/fits/tests/data/memtest.fits -> build/lib.linux-x86_64-3.6/astropy/io/fits/tests/data copying astropy/io/fits/tests/data/fixed-1890.fits -> build/lib.linux-x86_64-3.6/astropy/io/fits/tests/data copying astropy/io/fits/tests/data/comp.fits -> build/lib.linux-x86_64-3.6/astropy/io/fits/tests/data copying astropy/io/fits/tests/data/checksum.fits -> build/lib.linux-x86_64-3.6/astropy/io/fits/tests/data copying astropy/io/fits/tests/data/tb.fits -> build/lib.linux-x86_64-3.6/astropy/io/fits/tests/data copying astropy/io/fits/tests/data/random_groups.fits -> build/lib.linux-x86_64-3.6/astropy/io/fits/tests/data copying astropy/io/fits/tests/data/scale.fits -> build/lib.linux-x86_64-3.6/astropy/io/fits/tests/data copying astropy/io/fits/tests/data/blank.fits -> build/lib.linux-x86_64-3.6/astropy/io/fits/tests/data copying astropy/io/fits/tests/data/o4sp040b0_raw.fits -> build/lib.linux-x86_64-3.6/astropy/io/fits/tests/data copying astropy/io/fits/tests/data/compressed_float_bzero.fits -> build/lib.linux-x86_64-3.6/astropy/io/fits/tests/data copying astropy/io/fits/tests/data/stddata.fits -> build/lib.linux-x86_64-3.6/astropy/io/fits/tests/data copying astropy/io/fits/tests/data/tdim.fits -> build/lib.linux-x86_64-3.6/astropy/io/fits/tests/data copying astropy/io/fits/tests/data/table.fits -> build/lib.linux-x86_64-3.6/astropy/io/fits/tests/data running build_ext running pre_hook from astropy._erfa.setup_package for build_ext command running pre_hook from astropy.modeling.setup_package for build_ext command building 'astropy._compiler' extension creating build/temp.linux-x86_64-3.6 creating build/temp.linux-x86_64-3.6/astropy x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/python3.6m -c astropy/_compiler.c -o build/temp.linux-x86_64-3.6/astropy/_compiler.o x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -specs=/usr/share/dpkg/no-pie-link.specs -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-3.6/astropy/_compiler.o -o build/lib.linux-x86_64-3.6/astropy/_compiler.cpython-36m-x86_64-linux-gnu.so building 'astropy.utils._compiler' extension creating build/temp.linux-x86_64-3.6/astropy/utils creating build/temp.linux-x86_64-3.6/astropy/utils/src x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/python3.6m -c astropy/utils/src/compiler.c -o build/temp.linux-x86_64-3.6/astropy/utils/src/compiler.o x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -specs=/usr/share/dpkg/no-pie-link.specs -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-3.6/astropy/utils/src/compiler.o -o build/lib.linux-x86_64-3.6/astropy/utils/_compiler.cpython-36m-x86_64-linux-gnu.so building 'astropy.wcs._wcs' extension creating build/temp.linux-x86_64-3.6/astropy/wcs creating build/temp.linux-x86_64-3.6/astropy/wcs/src x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DECHO -DWCSTRIG_MACRO -DASTROPY_WCS_BUILD -D_GNU_SOURCE -DNDEBUG -DHAVE_SINCOS -UDEBUG -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/wcslib -Iastropy/wcs/include -I/usr/include/python3.6m -c astropy/wcs/src/distortion.c -o build/temp.linux-x86_64-3.6/astropy/wcs/src/distortion.o -Wno-strict-prototypes -Wno-unused-function -Wno-unused-value -Wno-uninitialized x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DECHO -DWCSTRIG_MACRO -DASTROPY_WCS_BUILD -D_GNU_SOURCE -DNDEBUG -DHAVE_SINCOS -UDEBUG -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/wcslib -Iastropy/wcs/include -I/usr/include/python3.6m -c astropy/wcs/src/distortion_wrap.c -o build/temp.linux-x86_64-3.6/astropy/wcs/src/distortion_wrap.o -Wno-strict-prototypes -Wno-unused-function -Wno-unused-value -Wno-uninitialized x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DECHO -DWCSTRIG_MACRO -DASTROPY_WCS_BUILD -D_GNU_SOURCE -DNDEBUG -DHAVE_SINCOS -UDEBUG -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/wcslib -Iastropy/wcs/include -I/usr/include/python3.6m -c astropy/wcs/src/docstrings.c -o build/temp.linux-x86_64-3.6/astropy/wcs/src/docstrings.o -Wno-strict-prototypes -Wno-unused-function -Wno-unused-value -Wno-uninitialized x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DECHO -DWCSTRIG_MACRO -DASTROPY_WCS_BUILD -D_GNU_SOURCE -DNDEBUG -DHAVE_SINCOS -UDEBUG -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/wcslib -Iastropy/wcs/include -I/usr/include/python3.6m -c astropy/wcs/src/pipeline.c -o build/temp.linux-x86_64-3.6/astropy/wcs/src/pipeline.o -Wno-strict-prototypes -Wno-unused-function -Wno-unused-value -Wno-uninitialized x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DECHO -DWCSTRIG_MACRO -DASTROPY_WCS_BUILD -D_GNU_SOURCE -DNDEBUG -DHAVE_SINCOS -UDEBUG -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/wcslib -Iastropy/wcs/include -I/usr/include/python3.6m -c astropy/wcs/src/pyutil.c -o build/temp.linux-x86_64-3.6/astropy/wcs/src/pyutil.o -Wno-strict-prototypes -Wno-unused-function -Wno-unused-value -Wno-uninitialized x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DECHO -DWCSTRIG_MACRO -DASTROPY_WCS_BUILD -D_GNU_SOURCE -DNDEBUG -DHAVE_SINCOS -UDEBUG -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/wcslib -Iastropy/wcs/include -I/usr/include/python3.6m -c astropy/wcs/src/astropy_wcs.c -o build/temp.linux-x86_64-3.6/astropy/wcs/src/astropy_wcs.o -Wno-strict-prototypes -Wno-unused-function -Wno-unused-value -Wno-uninitialized x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DECHO -DWCSTRIG_MACRO -DASTROPY_WCS_BUILD -D_GNU_SOURCE -DNDEBUG -DHAVE_SINCOS -UDEBUG -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/wcslib -Iastropy/wcs/include -I/usr/include/python3.6m -c astropy/wcs/src/astropy_wcs_api.c -o build/temp.linux-x86_64-3.6/astropy/wcs/src/astropy_wcs_api.o -Wno-strict-prototypes -Wno-unused-function -Wno-unused-value -Wno-uninitialized x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DECHO -DWCSTRIG_MACRO -DASTROPY_WCS_BUILD -D_GNU_SOURCE -DNDEBUG -DHAVE_SINCOS -UDEBUG -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/wcslib -Iastropy/wcs/include -I/usr/include/python3.6m -c astropy/wcs/src/sip.c -o build/temp.linux-x86_64-3.6/astropy/wcs/src/sip.o -Wno-strict-prototypes -Wno-unused-function -Wno-unused-value -Wno-uninitialized x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DECHO -DWCSTRIG_MACRO -DASTROPY_WCS_BUILD -D_GNU_SOURCE -DNDEBUG -DHAVE_SINCOS -UDEBUG -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/wcslib -Iastropy/wcs/include -I/usr/include/python3.6m -c astropy/wcs/src/sip_wrap.c -o build/temp.linux-x86_64-3.6/astropy/wcs/src/sip_wrap.o -Wno-strict-prototypes -Wno-unused-function -Wno-unused-value -Wno-uninitialized x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DECHO -DWCSTRIG_MACRO -DASTROPY_WCS_BUILD -D_GNU_SOURCE -DNDEBUG -DHAVE_SINCOS -UDEBUG -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/wcslib -Iastropy/wcs/include -I/usr/include/python3.6m -c astropy/wcs/src/str_list_proxy.c -o build/temp.linux-x86_64-3.6/astropy/wcs/src/str_list_proxy.o -Wno-strict-prototypes -Wno-unused-function -Wno-unused-value -Wno-uninitialized x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DECHO -DWCSTRIG_MACRO -DASTROPY_WCS_BUILD -D_GNU_SOURCE -DNDEBUG -DHAVE_SINCOS -UDEBUG -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/wcslib -Iastropy/wcs/include -I/usr/include/python3.6m -c astropy/wcs/src/unit_list_proxy.c -o build/temp.linux-x86_64-3.6/astropy/wcs/src/unit_list_proxy.o -Wno-strict-prototypes -Wno-unused-function -Wno-unused-value -Wno-uninitialized x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DECHO -DWCSTRIG_MACRO -DASTROPY_WCS_BUILD -D_GNU_SOURCE -DNDEBUG -DHAVE_SINCOS -UDEBUG -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/wcslib -Iastropy/wcs/include -I/usr/include/python3.6m -c astropy/wcs/src/util.c -o build/temp.linux-x86_64-3.6/astropy/wcs/src/util.o -Wno-strict-prototypes -Wno-unused-function -Wno-unused-value -Wno-uninitialized x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DECHO -DWCSTRIG_MACRO -DASTROPY_WCS_BUILD -D_GNU_SOURCE -DNDEBUG -DHAVE_SINCOS -UDEBUG -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/wcslib -Iastropy/wcs/include -I/usr/include/python3.6m -c astropy/wcs/src/wcslib_wrap.c -o build/temp.linux-x86_64-3.6/astropy/wcs/src/wcslib_wrap.o -Wno-strict-prototypes -Wno-unused-function -Wno-unused-value -Wno-uninitialized x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DECHO -DWCSTRIG_MACRO -DASTROPY_WCS_BUILD -D_GNU_SOURCE -DNDEBUG -DHAVE_SINCOS -UDEBUG -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/wcslib -Iastropy/wcs/include -I/usr/include/python3.6m -c astropy/wcs/src/wcslib_tabprm_wrap.c -o build/temp.linux-x86_64-3.6/astropy/wcs/src/wcslib_tabprm_wrap.o -Wno-strict-prototypes -Wno-unused-function -Wno-unused-value -Wno-uninitialized x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -specs=/usr/share/dpkg/no-pie-link.specs -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-3.6/astropy/wcs/src/distortion.o build/temp.linux-x86_64-3.6/astropy/wcs/src/distortion_wrap.o build/temp.linux-x86_64-3.6/astropy/wcs/src/docstrings.o build/temp.linux-x86_64-3.6/astropy/wcs/src/pipeline.o build/temp.linux-x86_64-3.6/astropy/wcs/src/pyutil.o build/temp.linux-x86_64-3.6/astropy/wcs/src/astropy_wcs.o build/temp.linux-x86_64-3.6/astropy/wcs/src/astropy_wcs_api.o build/temp.linux-x86_64-3.6/astropy/wcs/src/sip.o build/temp.linux-x86_64-3.6/astropy/wcs/src/sip_wrap.o build/temp.linux-x86_64-3.6/astropy/wcs/src/str_list_proxy.o build/temp.linux-x86_64-3.6/astropy/wcs/src/unit_list_proxy.o build/temp.linux-x86_64-3.6/astropy/wcs/src/util.o build/temp.linux-x86_64-3.6/astropy/wcs/src/wcslib_wrap.o build/temp.linux-x86_64-3.6/astropy/wcs/src/wcslib_tabprm_wrap.o -lwcs -lm -o build/lib.linux-x86_64-3.6/astropy/wcs/_wcs.cpython-36m-x86_64-linux-gnu.so building 'astropy._erfa._core' extension creating build/temp.linux-x86_64-3.6/astropy/_erfa x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c astropy/_erfa/core.c -o build/temp.linux-x86_64-3.6/astropy/_erfa/core.o x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -specs=/usr/share/dpkg/no-pie-link.specs -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-3.6/astropy/_erfa/core.o -lerfa -o build/lib.linux-x86_64-3.6/astropy/_erfa/_core.cpython-36m-x86_64-linux-gnu.so building 'astropy.table._np_utils' extension creating build/temp.linux-x86_64-3.6/astropy/table x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c astropy/table/_np_utils.c -o build/temp.linux-x86_64-3.6/astropy/table/_np_utils.o -Wp,-w -Wno-unused-function x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -specs=/usr/share/dpkg/no-pie-link.specs -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-3.6/astropy/table/_np_utils.o -o build/lib.linux-x86_64-3.6/astropy/table/_np_utils.cpython-36m-x86_64-linux-gnu.so building 'astropy.table._column_mixins' extension x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c astropy/table/_column_mixins.c -o build/temp.linux-x86_64-3.6/astropy/table/_column_mixins.o -Wp,-w -Wno-unused-function x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -specs=/usr/share/dpkg/no-pie-link.specs -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-3.6/astropy/table/_column_mixins.o -o build/lib.linux-x86_64-3.6/astropy/table/_column_mixins.cpython-36m-x86_64-linux-gnu.so building 'astropy.modeling._projections' extension creating build/temp.linux-x86_64-3.6/astropy/modeling creating build/temp.linux-x86_64-3.6/astropy/modeling/src x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DECHO -DWCSTRIG_MACRO -DASTROPY_WCS_BUILD -D_GNU_SOURCE -DNDEBUG -DHAVE_SINCOS -UDEBUG -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/wcslib -Iastropy/modeling/src -I/usr/include/python3.6m -c astropy/modeling/src/projections.c -o build/temp.linux-x86_64-3.6/astropy/modeling/src/projections.o -Wno-strict-prototypes -Wno-unused-function -Wno-unused-value -Wno-uninitialized x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -specs=/usr/share/dpkg/no-pie-link.specs -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-3.6/astropy/modeling/src/projections.o -lwcs -lm -o build/lib.linux-x86_64-3.6/astropy/modeling/_projections.cpython-36m-x86_64-linux-gnu.so building 'astropy.utils.xml._iterparser' extension creating build/temp.linux-x86_64-3.6/astropy/utils/xml creating build/temp.linux-x86_64-3.6/astropy/utils/xml/src x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/python3.6m -c astropy/utils/xml/src/iterparse.c -o build/temp.linux-x86_64-3.6/astropy/utils/xml/src/iterparse.o x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -specs=/usr/share/dpkg/no-pie-link.specs -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-3.6/astropy/utils/xml/src/iterparse.o -lexpat -o build/lib.linux-x86_64-3.6/astropy/utils/xml/_iterparser.cpython-36m-x86_64-linux-gnu.so building 'astropy.io.ascii.cparser' extension creating build/temp.linux-x86_64-3.6/astropy/io creating build/temp.linux-x86_64-3.6/astropy/io/ascii creating build/temp.linux-x86_64-3.6/astropy/io/ascii/src x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c astropy/io/ascii/cparser.c -o build/temp.linux-x86_64-3.6/astropy/io/ascii/cparser.o -Wp,-w -Wno-unused-function x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c astropy/io/ascii/src/tokenizer.c -o build/temp.linux-x86_64-3.6/astropy/io/ascii/src/tokenizer.o -Wp,-w -Wno-unused-function x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -specs=/usr/share/dpkg/no-pie-link.specs -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-3.6/astropy/io/ascii/cparser.o build/temp.linux-x86_64-3.6/astropy/io/ascii/src/tokenizer.o -o build/lib.linux-x86_64-3.6/astropy/io/ascii/cparser.cpython-36m-x86_64-linux-gnu.so building 'astropy.io.votable.tablewriter' extension creating build/temp.linux-x86_64-3.6/astropy/io/votable creating build/temp.linux-x86_64-3.6/astropy/io/votable/src x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Iastropy/io/votable/src -I/usr/include/python3.6m -c astropy/io/votable/src/tablewriter.c -o build/temp.linux-x86_64-3.6/astropy/io/votable/src/tablewriter.o x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -specs=/usr/share/dpkg/no-pie-link.specs -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-3.6/astropy/io/votable/src/tablewriter.o -o build/lib.linux-x86_64-3.6/astropy/io/votable/tablewriter.cpython-36m-x86_64-linux-gnu.so building 'astropy.io.fits.compression' extension creating build/temp.linux-x86_64-3.6/astropy/io/fits creating build/temp.linux-x86_64-3.6/astropy/io/fits/src x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c astropy/io/fits/src/compressionmodule.c -o build/temp.linux-x86_64-3.6/astropy/io/fits/src/compressionmodule.o x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -specs=/usr/share/dpkg/no-pie-link.specs -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-3.6/astropy/io/fits/src/compressionmodule.o -lcfitsio -lpthread -o build/lib.linux-x86_64-3.6/astropy/io/fits/compression.cpython-36m-x86_64-linux-gnu.so building 'astropy.cosmology.scalar_inv_efuncs' extension creating build/temp.linux-x86_64-3.6/astropy/cosmology x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c astropy/cosmology/scalar_inv_efuncs.c -o build/temp.linux-x86_64-3.6/astropy/cosmology/scalar_inv_efuncs.o -Wp,-w -Wno-unused-function x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -specs=/usr/share/dpkg/no-pie-link.specs -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-3.6/astropy/cosmology/scalar_inv_efuncs.o -o build/lib.linux-x86_64-3.6/astropy/cosmology/scalar_inv_efuncs.cpython-36m-x86_64-linux-gnu.so building 'astropy.convolution.boundary_none' extension creating build/temp.linux-x86_64-3.6/astropy/convolution x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c astropy/convolution/boundary_none.c -o build/temp.linux-x86_64-3.6/astropy/convolution/boundary_none.o -Wp,-w -Wno-unused-function x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -specs=/usr/share/dpkg/no-pie-link.specs -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-3.6/astropy/convolution/boundary_none.o -o build/lib.linux-x86_64-3.6/astropy/convolution/boundary_none.cpython-36m-x86_64-linux-gnu.so building 'astropy.convolution.boundary_fill' extension x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c astropy/convolution/boundary_fill.c -o build/temp.linux-x86_64-3.6/astropy/convolution/boundary_fill.o -Wp,-w -Wno-unused-function x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -specs=/usr/share/dpkg/no-pie-link.specs -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-3.6/astropy/convolution/boundary_fill.o -o build/lib.linux-x86_64-3.6/astropy/convolution/boundary_fill.cpython-36m-x86_64-linux-gnu.so building 'astropy.convolution.boundary_wrap' extension x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c astropy/convolution/boundary_wrap.c -o build/temp.linux-x86_64-3.6/astropy/convolution/boundary_wrap.o -Wp,-w -Wno-unused-function x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -specs=/usr/share/dpkg/no-pie-link.specs -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-3.6/astropy/convolution/boundary_wrap.o -o build/lib.linux-x86_64-3.6/astropy/convolution/boundary_wrap.cpython-36m-x86_64-linux-gnu.so building 'astropy.convolution.boundary_extend' extension x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c astropy/convolution/boundary_extend.c -o build/temp.linux-x86_64-3.6/astropy/convolution/boundary_extend.o -Wp,-w -Wno-unused-function x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -specs=/usr/share/dpkg/no-pie-link.specs -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-3.6/astropy/convolution/boundary_extend.o -o build/lib.linux-x86_64-3.6/astropy/convolution/boundary_extend.cpython-36m-x86_64-linux-gnu.so building 'astropy.stats.lombscargle.implementations.cython_impl' extension creating build/temp.linux-x86_64-3.6/astropy/stats creating build/temp.linux-x86_64-3.6/astropy/stats/lombscargle creating build/temp.linux-x86_64-3.6/astropy/stats/lombscargle/implementations x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c astropy/stats/lombscargle/implementations/cython_impl.c -o build/temp.linux-x86_64-3.6/astropy/stats/lombscargle/implementations/cython_impl.o -Wp,-w -Wno-unused-function x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -specs=/usr/share/dpkg/no-pie-link.specs -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-3.6/astropy/stats/lombscargle/implementations/cython_impl.o -o build/lib.linux-x86_64-3.6/astropy/stats/lombscargle/implementations/cython_impl.cpython-36m-x86_64-linux-gnu.so dh_auto_build -- --use-system-libraries python setup.py build --force --use-system-libraries running build running build_py running pre_hook from astropy._erfa.setup_package for build_py command running pre_hook from astropy.modeling.setup_package for build_py command WARNING: The autogenerated wrappers in astropy.modeling._projections seem to be older than the source templates used to create them. Because this is a release version we will use them anyway, but this might be a sign of some sort of version mismatch or other tampering. Or it might just mean you moved some files around or otherwise accidentally changed timestamps. copying astropy/version.py -> build/lib.linux-x86_64-2.7/astropy copying astropy/cython_version.py -> build/lib.linux-x86_64-2.7/astropy copying astropy/__init__.py -> build/lib.linux-x86_64-2.7/astropy copying astropy/logger.py -> build/lib.linux-x86_64-2.7/astropy copying astropy/conftest.py -> build/lib.linux-x86_64-2.7/astropy copying astropy/setup_package.py -> build/lib.linux-x86_64-2.7/astropy copying astropy/stats/circstats.py -> build/lib.linux-x86_64-2.7/astropy/stats copying astropy/stats/__init__.py -> build/lib.linux-x86_64-2.7/astropy/stats copying astropy/stats/bayesian_blocks.py -> build/lib.linux-x86_64-2.7/astropy/stats copying astropy/stats/info_theory.py -> build/lib.linux-x86_64-2.7/astropy/stats copying astropy/stats/spatial.py -> build/lib.linux-x86_64-2.7/astropy/stats copying astropy/stats/setup_package.py -> build/lib.linux-x86_64-2.7/astropy/stats copying astropy/stats/biweight.py -> build/lib.linux-x86_64-2.7/astropy/stats copying astropy/stats/histogram.py -> build/lib.linux-x86_64-2.7/astropy/stats copying astropy/stats/jackknife.py -> build/lib.linux-x86_64-2.7/astropy/stats copying astropy/stats/sigma_clipping.py -> build/lib.linux-x86_64-2.7/astropy/stats copying astropy/stats/funcs.py -> build/lib.linux-x86_64-2.7/astropy/stats copying astropy/utils/metadata.py -> build/lib.linux-x86_64-2.7/astropy/utils copying astropy/utils/introspection.py -> build/lib.linux-x86_64-2.7/astropy/utils copying astropy/utils/data.py -> build/lib.linux-x86_64-2.7/astropy/utils copying astropy/utils/__init__.py -> build/lib.linux-x86_64-2.7/astropy/utils copying astropy/utils/codegen.py -> build/lib.linux-x86_64-2.7/astropy/utils copying astropy/utils/timer.py -> build/lib.linux-x86_64-2.7/astropy/utils copying astropy/utils/state.py -> build/lib.linux-x86_64-2.7/astropy/utils copying astropy/utils/console.py -> build/lib.linux-x86_64-2.7/astropy/utils copying astropy/utils/exceptions.py -> build/lib.linux-x86_64-2.7/astropy/utils copying astropy/utils/decorators.py -> build/lib.linux-x86_64-2.7/astropy/utils copying astropy/utils/setup_package.py -> build/lib.linux-x86_64-2.7/astropy/utils copying astropy/utils/collections.py -> build/lib.linux-x86_64-2.7/astropy/utils copying astropy/utils/data_info.py -> build/lib.linux-x86_64-2.7/astropy/utils copying astropy/utils/misc.py -> build/lib.linux-x86_64-2.7/astropy/utils copying astropy/utils/argparse.py -> build/lib.linux-x86_64-2.7/astropy/utils copying astropy/nddata/__init__.py -> build/lib.linux-x86_64-2.7/astropy/nddata copying astropy/nddata/flag_collection.py -> build/lib.linux-x86_64-2.7/astropy/nddata copying astropy/nddata/nddata_withmixins.py -> build/lib.linux-x86_64-2.7/astropy/nddata copying astropy/nddata/nddata_base.py -> build/lib.linux-x86_64-2.7/astropy/nddata copying astropy/nddata/decorators.py -> build/lib.linux-x86_64-2.7/astropy/nddata copying astropy/nddata/nduncertainty.py -> build/lib.linux-x86_64-2.7/astropy/nddata copying astropy/nddata/setup_package.py -> build/lib.linux-x86_64-2.7/astropy/nddata copying astropy/nddata/ccddata.py -> build/lib.linux-x86_64-2.7/astropy/nddata copying astropy/nddata/utils.py -> build/lib.linux-x86_64-2.7/astropy/nddata copying astropy/nddata/nddata.py -> build/lib.linux-x86_64-2.7/astropy/nddata copying astropy/nddata/compat.py -> build/lib.linux-x86_64-2.7/astropy/nddata copying astropy/wcs/wcs.py -> build/lib.linux-x86_64-2.7/astropy/wcs copying astropy/wcs/__init__.py -> build/lib.linux-x86_64-2.7/astropy/wcs copying astropy/wcs/_docutil.py -> build/lib.linux-x86_64-2.7/astropy/wcs copying astropy/wcs/wcslint.py -> build/lib.linux-x86_64-2.7/astropy/wcs copying astropy/wcs/setup_package.py -> build/lib.linux-x86_64-2.7/astropy/wcs copying astropy/wcs/docstrings.py -> build/lib.linux-x86_64-2.7/astropy/wcs copying astropy/wcs/utils.py -> build/lib.linux-x86_64-2.7/astropy/wcs copying astropy/analytic_functions/__init__.py -> build/lib.linux-x86_64-2.7/astropy/analytic_functions copying astropy/analytic_functions/blackbody.py -> build/lib.linux-x86_64-2.7/astropy/analytic_functions copying astropy/config/__init__.py -> build/lib.linux-x86_64-2.7/astropy/config copying astropy/config/setup_package.py -> build/lib.linux-x86_64-2.7/astropy/config copying astropy/config/paths.py -> build/lib.linux-x86_64-2.7/astropy/config copying astropy/config/configuration.py -> build/lib.linux-x86_64-2.7/astropy/config copying astropy/config/affiliated.py -> build/lib.linux-x86_64-2.7/astropy/config copying astropy/_erfa/core.py -> build/lib.linux-x86_64-2.7/astropy/_erfa copying astropy/_erfa/__init__.py -> build/lib.linux-x86_64-2.7/astropy/_erfa copying astropy/_erfa/setup_package.py -> build/lib.linux-x86_64-2.7/astropy/_erfa copying astropy/_erfa/erfa_generator.py -> build/lib.linux-x86_64-2.7/astropy/_erfa copying astropy/vo/__init__.py -> build/lib.linux-x86_64-2.7/astropy/vo copying astropy/time/core.py -> build/lib.linux-x86_64-2.7/astropy/time copying astropy/time/__init__.py -> build/lib.linux-x86_64-2.7/astropy/time copying astropy/time/setup_package.py -> build/lib.linux-x86_64-2.7/astropy/time copying astropy/time/utils.py -> build/lib.linux-x86_64-2.7/astropy/time copying astropy/time/formats.py -> build/lib.linux-x86_64-2.7/astropy/time copying astropy/table/table.py -> build/lib.linux-x86_64-2.7/astropy/table copying astropy/table/info.py -> build/lib.linux-x86_64-2.7/astropy/table copying astropy/table/sorted_array.py -> build/lib.linux-x86_64-2.7/astropy/table copying astropy/table/__init__.py -> build/lib.linux-x86_64-2.7/astropy/table copying astropy/table/jsviewer.py -> build/lib.linux-x86_64-2.7/astropy/table copying astropy/table/groups.py -> build/lib.linux-x86_64-2.7/astropy/table copying astropy/table/column.py -> build/lib.linux-x86_64-2.7/astropy/table copying astropy/table/meta.py -> build/lib.linux-x86_64-2.7/astropy/table copying astropy/table/operations.py -> build/lib.linux-x86_64-2.7/astropy/table copying astropy/table/serialize.py -> build/lib.linux-x86_64-2.7/astropy/table copying astropy/table/table_helpers.py -> build/lib.linux-x86_64-2.7/astropy/table copying astropy/table/pprint.py -> build/lib.linux-x86_64-2.7/astropy/table copying astropy/table/row.py -> build/lib.linux-x86_64-2.7/astropy/table copying astropy/table/np_utils.py -> build/lib.linux-x86_64-2.7/astropy/table copying astropy/table/setup_package.py -> build/lib.linux-x86_64-2.7/astropy/table copying astropy/table/index.py -> build/lib.linux-x86_64-2.7/astropy/table copying astropy/table/bst.py -> build/lib.linux-x86_64-2.7/astropy/table copying astropy/constants/astropyconst13.py -> build/lib.linux-x86_64-2.7/astropy/constants copying astropy/constants/si.py -> build/lib.linux-x86_64-2.7/astropy/constants copying astropy/constants/__init__.py -> build/lib.linux-x86_64-2.7/astropy/constants copying astropy/constants/constant.py -> build/lib.linux-x86_64-2.7/astropy/constants copying astropy/constants/codata2010.py -> build/lib.linux-x86_64-2.7/astropy/constants copying astropy/constants/iau2012.py -> build/lib.linux-x86_64-2.7/astropy/constants copying astropy/constants/setup_package.py -> build/lib.linux-x86_64-2.7/astropy/constants copying astropy/constants/cgs.py -> build/lib.linux-x86_64-2.7/astropy/constants copying astropy/constants/iau2015.py -> build/lib.linux-x86_64-2.7/astropy/constants copying astropy/constants/astropyconst20.py -> build/lib.linux-x86_64-2.7/astropy/constants copying astropy/constants/codata2014.py -> build/lib.linux-x86_64-2.7/astropy/constants copying astropy/tests/command.py -> build/lib.linux-x86_64-2.7/astropy/tests copying astropy/tests/__init__.py -> build/lib.linux-x86_64-2.7/astropy/tests copying astropy/tests/test_logger.py -> build/lib.linux-x86_64-2.7/astropy/tests copying astropy/tests/runner.py -> build/lib.linux-x86_64-2.7/astropy/tests copying astropy/tests/helper.py -> build/lib.linux-x86_64-2.7/astropy/tests copying astropy/tests/output_checker.py -> build/lib.linux-x86_64-2.7/astropy/tests copying astropy/tests/pytest_plugins.py -> build/lib.linux-x86_64-2.7/astropy/tests copying astropy/tests/disable_internet.py -> build/lib.linux-x86_64-2.7/astropy/tests copying astropy/tests/image_tests.py -> build/lib.linux-x86_64-2.7/astropy/tests copying astropy/tests/setup_package.py -> build/lib.linux-x86_64-2.7/astropy/tests copying astropy/cosmology/core.py -> build/lib.linux-x86_64-2.7/astropy/cosmology copying astropy/cosmology/__init__.py -> build/lib.linux-x86_64-2.7/astropy/cosmology copying astropy/cosmology/parameters.py -> build/lib.linux-x86_64-2.7/astropy/cosmology copying astropy/cosmology/setup_package.py -> build/lib.linux-x86_64-2.7/astropy/cosmology copying astropy/cosmology/funcs.py -> build/lib.linux-x86_64-2.7/astropy/cosmology copying astropy/modeling/core.py -> build/lib.linux-x86_64-2.7/astropy/modeling copying astropy/modeling/mappings.py -> build/lib.linux-x86_64-2.7/astropy/modeling copying astropy/modeling/optimizers.py -> build/lib.linux-x86_64-2.7/astropy/modeling copying astropy/modeling/__init__.py -> build/lib.linux-x86_64-2.7/astropy/modeling copying astropy/modeling/projections.py -> build/lib.linux-x86_64-2.7/astropy/modeling copying astropy/modeling/functional_models.py -> build/lib.linux-x86_64-2.7/astropy/modeling copying astropy/modeling/models.py -> build/lib.linux-x86_64-2.7/astropy/modeling copying astropy/modeling/parameters.py -> build/lib.linux-x86_64-2.7/astropy/modeling copying astropy/modeling/polynomial.py -> build/lib.linux-x86_64-2.7/astropy/modeling copying astropy/modeling/rotations.py -> build/lib.linux-x86_64-2.7/astropy/modeling copying astropy/modeling/statistic.py -> build/lib.linux-x86_64-2.7/astropy/modeling copying astropy/modeling/setup_package.py -> build/lib.linux-x86_64-2.7/astropy/modeling copying astropy/modeling/utils.py -> build/lib.linux-x86_64-2.7/astropy/modeling copying astropy/modeling/blackbody.py -> build/lib.linux-x86_64-2.7/astropy/modeling copying astropy/modeling/fitting.py -> build/lib.linux-x86_64-2.7/astropy/modeling copying astropy/modeling/powerlaws.py -> build/lib.linux-x86_64-2.7/astropy/modeling copying astropy/modeling/tabular.py -> build/lib.linux-x86_64-2.7/astropy/modeling copying astropy/samp/hub.py -> build/lib.linux-x86_64-2.7/astropy/samp copying astropy/samp/errors.py -> build/lib.linux-x86_64-2.7/astropy/samp copying astropy/samp/constants.py -> build/lib.linux-x86_64-2.7/astropy/samp copying astropy/samp/web_profile.py -> build/lib.linux-x86_64-2.7/astropy/samp copying astropy/samp/__init__.py -> build/lib.linux-x86_64-2.7/astropy/samp copying astropy/samp/client.py -> build/lib.linux-x86_64-2.7/astropy/samp copying astropy/samp/integrated_client.py -> build/lib.linux-x86_64-2.7/astropy/samp copying astropy/samp/setup_package.py -> build/lib.linux-x86_64-2.7/astropy/samp copying astropy/samp/utils.py -> build/lib.linux-x86_64-2.7/astropy/samp copying astropy/samp/lockfile_helpers.py -> build/lib.linux-x86_64-2.7/astropy/samp copying astropy/samp/hub_proxy.py -> build/lib.linux-x86_64-2.7/astropy/samp copying astropy/samp/standard_profile.py -> build/lib.linux-x86_64-2.7/astropy/samp copying astropy/samp/hub_script.py -> build/lib.linux-x86_64-2.7/astropy/samp copying astropy/visualization/hist.py -> build/lib.linux-x86_64-2.7/astropy/visualization copying astropy/visualization/mpl_style.py -> build/lib.linux-x86_64-2.7/astropy/visualization copying astropy/visualization/lupton_rgb.py -> build/lib.linux-x86_64-2.7/astropy/visualization copying astropy/visualization/__init__.py -> build/lib.linux-x86_64-2.7/astropy/visualization copying astropy/visualization/units.py -> build/lib.linux-x86_64-2.7/astropy/visualization copying astropy/visualization/stretch.py -> build/lib.linux-x86_64-2.7/astropy/visualization copying astropy/visualization/transform.py -> build/lib.linux-x86_64-2.7/astropy/visualization copying astropy/visualization/mpl_normalize.py -> build/lib.linux-x86_64-2.7/astropy/visualization copying astropy/visualization/interval.py -> build/lib.linux-x86_64-2.7/astropy/visualization copying astropy/convolution/core.py -> build/lib.linux-x86_64-2.7/astropy/convolution copying astropy/convolution/__init__.py -> build/lib.linux-x86_64-2.7/astropy/convolution copying astropy/convolution/convolve.py -> build/lib.linux-x86_64-2.7/astropy/convolution copying astropy/convolution/setup_package.py -> build/lib.linux-x86_64-2.7/astropy/convolution copying astropy/convolution/utils.py -> build/lib.linux-x86_64-2.7/astropy/convolution copying astropy/convolution/kernels.py -> build/lib.linux-x86_64-2.7/astropy/convolution copying astropy/units/core.py -> build/lib.linux-x86_64-2.7/astropy/units copying astropy/units/required_by_vounit.py -> build/lib.linux-x86_64-2.7/astropy/units copying astropy/units/cds.py -> build/lib.linux-x86_64-2.7/astropy/units copying astropy/units/astrophys.py -> build/lib.linux-x86_64-2.7/astropy/units copying astropy/units/equivalencies.py -> build/lib.linux-x86_64-2.7/astropy/units copying astropy/units/si.py -> build/lib.linux-x86_64-2.7/astropy/units copying astropy/units/__init__.py -> build/lib.linux-x86_64-2.7/astropy/units copying astropy/units/quantity.py -> build/lib.linux-x86_64-2.7/astropy/units copying astropy/units/quantity_helper.py -> build/lib.linux-x86_64-2.7/astropy/units copying astropy/units/physical.py -> build/lib.linux-x86_64-2.7/astropy/units copying astropy/units/imperial.py -> build/lib.linux-x86_64-2.7/astropy/units copying astropy/units/deprecated.py -> build/lib.linux-x86_64-2.7/astropy/units copying astropy/units/decorators.py -> build/lib.linux-x86_64-2.7/astropy/units copying astropy/units/setup_package.py -> build/lib.linux-x86_64-2.7/astropy/units copying astropy/units/cgs.py -> build/lib.linux-x86_64-2.7/astropy/units copying astropy/units/utils.py -> build/lib.linux-x86_64-2.7/astropy/units copying astropy/extern/six.py -> build/lib.linux-x86_64-2.7/astropy/extern copying astropy/extern/configobj.py -> build/lib.linux-x86_64-2.7/astropy/extern copying astropy/extern/__init__.py -> build/lib.linux-x86_64-2.7/astropy/extern copying astropy/extern/setup_package.py -> build/lib.linux-x86_64-2.7/astropy/extern copying astropy/coordinates/errors.py -> build/lib.linux-x86_64-2.7/astropy/coordinates copying astropy/coordinates/solar_system.py -> build/lib.linux-x86_64-2.7/astropy/coordinates copying astropy/coordinates/angle_utilities.py -> build/lib.linux-x86_64-2.7/astropy/coordinates copying astropy/coordinates/matching.py -> build/lib.linux-x86_64-2.7/astropy/coordinates copying astropy/coordinates/__init__.py -> build/lib.linux-x86_64-2.7/astropy/coordinates copying astropy/coordinates/transformations.py -> build/lib.linux-x86_64-2.7/astropy/coordinates copying astropy/coordinates/angles.py -> build/lib.linux-x86_64-2.7/astropy/coordinates copying astropy/coordinates/name_resolve.py -> build/lib.linux-x86_64-2.7/astropy/coordinates copying astropy/coordinates/sites.py -> build/lib.linux-x86_64-2.7/astropy/coordinates copying astropy/coordinates/baseframe.py -> build/lib.linux-x86_64-2.7/astropy/coordinates copying astropy/coordinates/sky_coordinate.py -> build/lib.linux-x86_64-2.7/astropy/coordinates copying astropy/coordinates/angle_lextab.py -> build/lib.linux-x86_64-2.7/astropy/coordinates copying astropy/coordinates/attributes.py -> build/lib.linux-x86_64-2.7/astropy/coordinates copying astropy/coordinates/setup_package.py -> build/lib.linux-x86_64-2.7/astropy/coordinates copying astropy/coordinates/matrix_utilities.py -> build/lib.linux-x86_64-2.7/astropy/coordinates copying astropy/coordinates/angle_parsetab.py -> build/lib.linux-x86_64-2.7/astropy/coordinates copying astropy/coordinates/earth.py -> build/lib.linux-x86_64-2.7/astropy/coordinates copying astropy/coordinates/representation.py -> build/lib.linux-x86_64-2.7/astropy/coordinates copying astropy/coordinates/orbital_elements.py -> build/lib.linux-x86_64-2.7/astropy/coordinates copying astropy/coordinates/calculation.py -> build/lib.linux-x86_64-2.7/astropy/coordinates copying astropy/coordinates/distances.py -> build/lib.linux-x86_64-2.7/astropy/coordinates copying astropy/coordinates/earth_orientation.py -> build/lib.linux-x86_64-2.7/astropy/coordinates copying astropy/coordinates/funcs.py -> build/lib.linux-x86_64-2.7/astropy/coordinates copying astropy/io/__init__.py -> build/lib.linux-x86_64-2.7/astropy/io copying astropy/io/registry.py -> build/lib.linux-x86_64-2.7/astropy/io copying astropy/io/setup_package.py -> build/lib.linux-x86_64-2.7/astropy/io copying astropy/stats/lombscargle/core.py -> build/lib.linux-x86_64-2.7/astropy/stats/lombscargle copying astropy/stats/lombscargle/__init__.py -> build/lib.linux-x86_64-2.7/astropy/stats/lombscargle copying astropy/stats/tests/test_funcs.py -> build/lib.linux-x86_64-2.7/astropy/stats/tests copying astropy/stats/tests/test_circstats.py -> build/lib.linux-x86_64-2.7/astropy/stats/tests copying astropy/stats/tests/test_spatial.py -> build/lib.linux-x86_64-2.7/astropy/stats/tests copying astropy/stats/tests/__init__.py -> build/lib.linux-x86_64-2.7/astropy/stats/tests copying astropy/stats/tests/test_biweight.py -> build/lib.linux-x86_64-2.7/astropy/stats/tests copying astropy/stats/tests/test_bayesian_blocks.py -> build/lib.linux-x86_64-2.7/astropy/stats/tests copying astropy/stats/tests/test_histogram.py -> build/lib.linux-x86_64-2.7/astropy/stats/tests copying astropy/stats/tests/test_jackknife.py -> build/lib.linux-x86_64-2.7/astropy/stats/tests copying astropy/stats/tests/test_info_theory.py -> build/lib.linux-x86_64-2.7/astropy/stats/tests copying astropy/stats/tests/test_sigma_clipping.py -> build/lib.linux-x86_64-2.7/astropy/stats/tests copying astropy/stats/lombscargle/implementations/slow_impl.py -> build/lib.linux-x86_64-2.7/astropy/stats/lombscargle/implementations copying astropy/stats/lombscargle/implementations/chi2_impl.py -> build/lib.linux-x86_64-2.7/astropy/stats/lombscargle/implementations copying astropy/stats/lombscargle/implementations/__init__.py -> build/lib.linux-x86_64-2.7/astropy/stats/lombscargle/implementations copying astropy/stats/lombscargle/implementations/main.py -> build/lib.linux-x86_64-2.7/astropy/stats/lombscargle/implementations copying astropy/stats/lombscargle/implementations/fast_impl.py -> build/lib.linux-x86_64-2.7/astropy/stats/lombscargle/implementations copying astropy/stats/lombscargle/implementations/mle.py -> build/lib.linux-x86_64-2.7/astropy/stats/lombscargle/implementations copying astropy/stats/lombscargle/implementations/fastchi2_impl.py -> build/lib.linux-x86_64-2.7/astropy/stats/lombscargle/implementations copying astropy/stats/lombscargle/implementations/scipy_impl.py -> build/lib.linux-x86_64-2.7/astropy/stats/lombscargle/implementations copying astropy/stats/lombscargle/implementations/utils.py -> build/lib.linux-x86_64-2.7/astropy/stats/lombscargle/implementations copying astropy/stats/lombscargle/tests/test_lombscargle.py -> build/lib.linux-x86_64-2.7/astropy/stats/lombscargle/tests copying astropy/stats/lombscargle/tests/__init__.py -> build/lib.linux-x86_64-2.7/astropy/stats/lombscargle/tests copying astropy/stats/lombscargle/implementations/tests/__init__.py -> build/lib.linux-x86_64-2.7/astropy/stats/lombscargle/implementations/tests copying astropy/stats/lombscargle/implementations/tests/test_mle.py -> build/lib.linux-x86_64-2.7/astropy/stats/lombscargle/implementations/tests copying astropy/stats/lombscargle/implementations/tests/test_utils.py -> build/lib.linux-x86_64-2.7/astropy/stats/lombscargle/implementations/tests copying astropy/utils/xml/writer.py -> build/lib.linux-x86_64-2.7/astropy/utils/xml copying astropy/utils/xml/check.py -> build/lib.linux-x86_64-2.7/astropy/utils/xml copying astropy/utils/xml/__init__.py -> build/lib.linux-x86_64-2.7/astropy/utils/xml copying astropy/utils/xml/unescaper.py -> build/lib.linux-x86_64-2.7/astropy/utils/xml copying astropy/utils/xml/validate.py -> build/lib.linux-x86_64-2.7/astropy/utils/xml copying astropy/utils/xml/iterparser.py -> build/lib.linux-x86_64-2.7/astropy/utils/xml copying astropy/utils/xml/setup_package.py -> build/lib.linux-x86_64-2.7/astropy/utils/xml copying astropy/utils/compat/numpycompat.py -> build/lib.linux-x86_64-2.7/astropy/utils/compat copying astropy/utils/compat/funcsigs.py -> build/lib.linux-x86_64-2.7/astropy/utils/compat copying astropy/utils/compat/__init__.py -> build/lib.linux-x86_64-2.7/astropy/utils/compat copying astropy/utils/compat/_funcsigs.py -> build/lib.linux-x86_64-2.7/astropy/utils/compat copying astropy/utils/compat/misc.py -> build/lib.linux-x86_64-2.7/astropy/utils/compat copying astropy/utils/tests/test_timer.py -> build/lib.linux-x86_64-2.7/astropy/utils/tests copying astropy/utils/tests/test_decorators.py -> build/lib.linux-x86_64-2.7/astropy/utils/tests copying astropy/utils/tests/__init__.py -> build/lib.linux-x86_64-2.7/astropy/utils/tests copying astropy/utils/tests/test_xml.py -> build/lib.linux-x86_64-2.7/astropy/utils/tests copying astropy/utils/tests/test_data.py -> build/lib.linux-x86_64-2.7/astropy/utils/tests copying astropy/utils/tests/test_metadata.py -> build/lib.linux-x86_64-2.7/astropy/utils/tests copying astropy/utils/tests/test_data_info.py -> build/lib.linux-x86_64-2.7/astropy/utils/tests copying astropy/utils/tests/test_introspection.py -> build/lib.linux-x86_64-2.7/astropy/utils/tests copying astropy/utils/tests/test_console.py -> build/lib.linux-x86_64-2.7/astropy/utils/tests copying astropy/utils/tests/test_misc.py -> build/lib.linux-x86_64-2.7/astropy/utils/tests copying astropy/utils/tests/test_codegen.py -> build/lib.linux-x86_64-2.7/astropy/utils/tests copying astropy/utils/tests/test_collections.py -> build/lib.linux-x86_64-2.7/astropy/utils/tests copying astropy/utils/iers/__init__.py -> build/lib.linux-x86_64-2.7/astropy/utils/iers copying astropy/utils/iers/iers.py -> build/lib.linux-x86_64-2.7/astropy/utils/iers copying astropy/utils/xml/tests/test_iterparse.py -> build/lib.linux-x86_64-2.7/astropy/utils/xml/tests copying astropy/utils/xml/tests/__init__.py -> build/lib.linux-x86_64-2.7/astropy/utils/xml/tests copying astropy/utils/compat/numpy/__init__.py -> build/lib.linux-x86_64-2.7/astropy/utils/compat/numpy copying astropy/utils/compat/futures/_base.py -> build/lib.linux-x86_64-2.7/astropy/utils/compat/futures copying astropy/utils/compat/futures/__init__.py -> build/lib.linux-x86_64-2.7/astropy/utils/compat/futures copying astropy/utils/compat/futures/process.py -> build/lib.linux-x86_64-2.7/astropy/utils/compat/futures copying astropy/utils/compat/futures/thread.py -> build/lib.linux-x86_64-2.7/astropy/utils/compat/futures copying astropy/utils/compat/numpy/core/__init__.py -> build/lib.linux-x86_64-2.7/astropy/utils/compat/numpy/core copying astropy/utils/compat/numpy/core/multiarray.py -> build/lib.linux-x86_64-2.7/astropy/utils/compat/numpy/core copying astropy/utils/compat/numpy/tests/__init__.py -> build/lib.linux-x86_64-2.7/astropy/utils/compat/numpy/tests copying astropy/utils/compat/numpy/tests/test_broadcast_arrays.py -> build/lib.linux-x86_64-2.7/astropy/utils/compat/numpy/tests copying astropy/utils/compat/numpy/tests/test_matmul.py -> build/lib.linux-x86_64-2.7/astropy/utils/compat/numpy/tests copying astropy/utils/compat/numpy/lib/__init__.py -> build/lib.linux-x86_64-2.7/astropy/utils/compat/numpy/lib copying astropy/utils/compat/numpy/lib/stride_tricks.py -> build/lib.linux-x86_64-2.7/astropy/utils/compat/numpy/lib copying astropy/utils/iers/tests/__init__.py -> build/lib.linux-x86_64-2.7/astropy/utils/iers/tests copying astropy/utils/iers/tests/test_iers.py -> build/lib.linux-x86_64-2.7/astropy/utils/iers/tests copying astropy/nddata/tests/test_decorators.py -> build/lib.linux-x86_64-2.7/astropy/nddata/tests copying astropy/nddata/tests/__init__.py -> build/lib.linux-x86_64-2.7/astropy/nddata/tests copying astropy/nddata/tests/test_flag_collection.py -> build/lib.linux-x86_64-2.7/astropy/nddata/tests copying astropy/nddata/tests/test_nddata.py -> build/lib.linux-x86_64-2.7/astropy/nddata/tests copying astropy/nddata/tests/test_ccddata.py -> build/lib.linux-x86_64-2.7/astropy/nddata/tests copying astropy/nddata/tests/test_nddata_base.py -> build/lib.linux-x86_64-2.7/astropy/nddata/tests copying astropy/nddata/tests/test_utils.py -> build/lib.linux-x86_64-2.7/astropy/nddata/tests copying astropy/nddata/tests/test_compat.py -> build/lib.linux-x86_64-2.7/astropy/nddata/tests copying astropy/nddata/tests/test_nduncertainty.py -> build/lib.linux-x86_64-2.7/astropy/nddata/tests copying astropy/nddata/mixins/ndarithmetic.py -> build/lib.linux-x86_64-2.7/astropy/nddata/mixins copying astropy/nddata/mixins/__init__.py -> build/lib.linux-x86_64-2.7/astropy/nddata/mixins copying astropy/nddata/mixins/ndslicing.py -> build/lib.linux-x86_64-2.7/astropy/nddata/mixins copying astropy/nddata/mixins/ndio.py -> build/lib.linux-x86_64-2.7/astropy/nddata/mixins copying astropy/nddata/mixins/tests/test_ndslicing.py -> build/lib.linux-x86_64-2.7/astropy/nddata/mixins/tests copying astropy/nddata/mixins/tests/test_ndio.py -> build/lib.linux-x86_64-2.7/astropy/nddata/mixins/tests copying astropy/nddata/mixins/tests/__init__.py -> build/lib.linux-x86_64-2.7/astropy/nddata/mixins/tests copying astropy/nddata/mixins/tests/test_ndarithmetic.py -> build/lib.linux-x86_64-2.7/astropy/nddata/mixins/tests copying astropy/wcs/tests/__init__.py -> build/lib.linux-x86_64-2.7/astropy/wcs/tests copying astropy/wcs/tests/test_wcs.py -> build/lib.linux-x86_64-2.7/astropy/wcs/tests copying astropy/wcs/tests/test_pickle.py -> build/lib.linux-x86_64-2.7/astropy/wcs/tests copying astropy/wcs/tests/test_utils.py -> build/lib.linux-x86_64-2.7/astropy/wcs/tests copying astropy/wcs/tests/test_profiling.py -> build/lib.linux-x86_64-2.7/astropy/wcs/tests copying astropy/wcs/tests/test_wcsprm.py -> build/lib.linux-x86_64-2.7/astropy/wcs/tests copying astropy/wcs/tests/extension/__init__.py -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/extension copying astropy/wcs/tests/extension/test_extension.py -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/extension copying astropy/wcs/tests/extension/setup.py -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/extension copying astropy/analytic_functions/tests/__init__.py -> build/lib.linux-x86_64-2.7/astropy/analytic_functions/tests copying astropy/analytic_functions/tests/test_blackbody.py -> build/lib.linux-x86_64-2.7/astropy/analytic_functions/tests copying astropy/config/tests/__init__.py -> build/lib.linux-x86_64-2.7/astropy/config/tests copying astropy/config/tests/test_configs.py -> build/lib.linux-x86_64-2.7/astropy/config/tests copying astropy/_erfa/tests/test_erfa.py -> build/lib.linux-x86_64-2.7/astropy/_erfa/tests copying astropy/_erfa/tests/__init__.py -> build/lib.linux-x86_64-2.7/astropy/_erfa/tests copying astropy/vo/validator/inspect.py -> build/lib.linux-x86_64-2.7/astropy/vo/validator copying astropy/vo/validator/__init__.py -> build/lib.linux-x86_64-2.7/astropy/vo/validator copying astropy/vo/validator/exceptions.py -> build/lib.linux-x86_64-2.7/astropy/vo/validator copying astropy/vo/validator/validate.py -> build/lib.linux-x86_64-2.7/astropy/vo/validator copying astropy/vo/validator/setup_package.py -> build/lib.linux-x86_64-2.7/astropy/vo/validator copying astropy/vo/validator/tstquery.py -> build/lib.linux-x86_64-2.7/astropy/vo/validator copying astropy/vo/samp/__init__.py -> build/lib.linux-x86_64-2.7/astropy/vo/samp copying astropy/vo/client/__init__.py -> build/lib.linux-x86_64-2.7/astropy/vo/client copying astropy/vo/client/exceptions.py -> build/lib.linux-x86_64-2.7/astropy/vo/client copying astropy/vo/client/setup_package.py -> build/lib.linux-x86_64-2.7/astropy/vo/client copying astropy/vo/client/conesearch.py -> build/lib.linux-x86_64-2.7/astropy/vo/client copying astropy/vo/client/async.py -> build/lib.linux-x86_64-2.7/astropy/vo/client copying astropy/vo/client/vos_catalog.py -> build/lib.linux-x86_64-2.7/astropy/vo/client copying astropy/vo/validator/tests/test_validate.py -> build/lib.linux-x86_64-2.7/astropy/vo/validator/tests copying astropy/vo/validator/tests/__init__.py -> build/lib.linux-x86_64-2.7/astropy/vo/validator/tests copying astropy/vo/validator/tests/test_inpect.py -> build/lib.linux-x86_64-2.7/astropy/vo/validator/tests copying astropy/vo/client/tests/__init__.py -> build/lib.linux-x86_64-2.7/astropy/vo/client/tests copying astropy/vo/client/tests/test_conesearch.py -> build/lib.linux-x86_64-2.7/astropy/vo/client/tests copying astropy/vo/client/tests/test_vos_catalog.py -> build/lib.linux-x86_64-2.7/astropy/vo/client/tests copying astropy/time/tests/test_methods.py -> build/lib.linux-x86_64-2.7/astropy/time/tests copying astropy/time/tests/test_guess.py -> build/lib.linux-x86_64-2.7/astropy/time/tests copying astropy/time/tests/test_ut1.py -> build/lib.linux-x86_64-2.7/astropy/time/tests copying astropy/time/tests/test_delta.py -> build/lib.linux-x86_64-2.7/astropy/time/tests copying astropy/time/tests/test_comparisons.py -> build/lib.linux-x86_64-2.7/astropy/time/tests copying astropy/time/tests/__init__.py -> build/lib.linux-x86_64-2.7/astropy/time/tests copying astropy/time/tests/test_basic.py -> build/lib.linux-x86_64-2.7/astropy/time/tests copying astropy/time/tests/test_quantity_interaction.py -> build/lib.linux-x86_64-2.7/astropy/time/tests copying astropy/time/tests/test_pickle.py -> build/lib.linux-x86_64-2.7/astropy/time/tests copying astropy/time/tests/test_corrs.py -> build/lib.linux-x86_64-2.7/astropy/time/tests copying astropy/time/tests/test_precision.py -> build/lib.linux-x86_64-2.7/astropy/time/tests copying astropy/time/tests/test_sidereal.py -> build/lib.linux-x86_64-2.7/astropy/time/tests copying astropy/table/tests/test_array.py -> build/lib.linux-x86_64-2.7/astropy/table/tests copying astropy/table/tests/test_column.py -> build/lib.linux-x86_64-2.7/astropy/table/tests copying astropy/table/tests/__init__.py -> build/lib.linux-x86_64-2.7/astropy/table/tests copying astropy/table/tests/test_np_utils.py -> build/lib.linux-x86_64-2.7/astropy/table/tests copying astropy/table/tests/test_mixin.py -> build/lib.linux-x86_64-2.7/astropy/table/tests copying astropy/table/tests/test_jsviewer.py -> build/lib.linux-x86_64-2.7/astropy/table/tests copying astropy/table/tests/test_row.py -> build/lib.linux-x86_64-2.7/astropy/table/tests copying astropy/table/tests/test_bst.py -> build/lib.linux-x86_64-2.7/astropy/table/tests copying astropy/table/tests/test_init_table.py -> build/lib.linux-x86_64-2.7/astropy/table/tests copying astropy/table/tests/test_masked.py -> build/lib.linux-x86_64-2.7/astropy/table/tests copying astropy/table/tests/test_pickle.py -> build/lib.linux-x86_64-2.7/astropy/table/tests copying astropy/table/tests/conftest.py -> build/lib.linux-x86_64-2.7/astropy/table/tests copying astropy/table/tests/test_index.py -> build/lib.linux-x86_64-2.7/astropy/table/tests copying astropy/table/tests/test_operations.py -> build/lib.linux-x86_64-2.7/astropy/table/tests copying astropy/table/tests/test_subclass.py -> build/lib.linux-x86_64-2.7/astropy/table/tests copying astropy/table/tests/test_info.py -> build/lib.linux-x86_64-2.7/astropy/table/tests copying astropy/table/tests/test_groups.py -> build/lib.linux-x86_64-2.7/astropy/table/tests copying astropy/table/tests/test_pprint.py -> build/lib.linux-x86_64-2.7/astropy/table/tests copying astropy/table/tests/test_table.py -> build/lib.linux-x86_64-2.7/astropy/table/tests copying astropy/table/tests/test_item_access.py -> build/lib.linux-x86_64-2.7/astropy/table/tests copying astropy/constants/tests/__init__.py -> build/lib.linux-x86_64-2.7/astropy/constants/tests copying astropy/constants/tests/test_constant.py -> build/lib.linux-x86_64-2.7/astropy/constants/tests copying astropy/constants/tests/test_prior_version.py -> build/lib.linux-x86_64-2.7/astropy/constants/tests copying astropy/constants/tests/test_pickle.py -> build/lib.linux-x86_64-2.7/astropy/constants/tests copying astropy/tests/tests/test_open_file_detection.py -> build/lib.linux-x86_64-2.7/astropy/tests/tests copying astropy/tests/tests/__init__.py -> build/lib.linux-x86_64-2.7/astropy/tests/tests copying astropy/tests/tests/test_runner.py -> build/lib.linux-x86_64-2.7/astropy/tests/tests copying astropy/tests/tests/test_skip_remote_data.py -> build/lib.linux-x86_64-2.7/astropy/tests/tests copying astropy/tests/tests/test_run_tests.py -> build/lib.linux-x86_64-2.7/astropy/tests/tests copying astropy/tests/tests/test_socketblocker.py -> build/lib.linux-x86_64-2.7/astropy/tests/tests copying astropy/tests/tests/test_quantity_helpers.py -> build/lib.linux-x86_64-2.7/astropy/tests/tests copying astropy/tests/tests/test_imports.py -> build/lib.linux-x86_64-2.7/astropy/tests/tests copying astropy/cosmology/tests/__init__.py -> build/lib.linux-x86_64-2.7/astropy/cosmology/tests copying astropy/cosmology/tests/test_cosmology.py -> build/lib.linux-x86_64-2.7/astropy/cosmology/tests copying astropy/cosmology/tests/test_pickle.py -> build/lib.linux-x86_64-2.7/astropy/cosmology/tests copying astropy/modeling/tests/test_core.py -> build/lib.linux-x86_64-2.7/astropy/modeling/tests copying astropy/modeling/tests/test_models.py -> build/lib.linux-x86_64-2.7/astropy/modeling/tests copying astropy/modeling/tests/__init__.py -> build/lib.linux-x86_64-2.7/astropy/modeling/tests copying astropy/modeling/tests/test_quantities_fitting.py -> build/lib.linux-x86_64-2.7/astropy/modeling/tests copying astropy/modeling/tests/test_fitters.py -> build/lib.linux-x86_64-2.7/astropy/modeling/tests copying astropy/modeling/tests/test_projections.py -> build/lib.linux-x86_64-2.7/astropy/modeling/tests copying astropy/modeling/tests/test_mappings.py -> build/lib.linux-x86_64-2.7/astropy/modeling/tests copying astropy/modeling/tests/test_compound.py -> build/lib.linux-x86_64-2.7/astropy/modeling/tests copying astropy/modeling/tests/test_models_quantities.py -> build/lib.linux-x86_64-2.7/astropy/modeling/tests copying astropy/modeling/tests/test_blackbody.py -> build/lib.linux-x86_64-2.7/astropy/modeling/tests copying astropy/modeling/tests/test_quantities_model.py -> build/lib.linux-x86_64-2.7/astropy/modeling/tests copying astropy/modeling/tests/test_polynomial.py -> build/lib.linux-x86_64-2.7/astropy/modeling/tests copying astropy/modeling/tests/test_quantities_parameters.py -> build/lib.linux-x86_64-2.7/astropy/modeling/tests copying astropy/modeling/tests/example_models.py -> build/lib.linux-x86_64-2.7/astropy/modeling/tests copying astropy/modeling/tests/test_input.py -> build/lib.linux-x86_64-2.7/astropy/modeling/tests copying astropy/modeling/tests/test_rotations.py -> build/lib.linux-x86_64-2.7/astropy/modeling/tests copying astropy/modeling/tests/test_utils.py -> build/lib.linux-x86_64-2.7/astropy/modeling/tests copying astropy/modeling/tests/test_parameters.py -> build/lib.linux-x86_64-2.7/astropy/modeling/tests copying astropy/modeling/tests/utils.py -> build/lib.linux-x86_64-2.7/astropy/modeling/tests copying astropy/modeling/tests/test_quantities_rotations.py -> build/lib.linux-x86_64-2.7/astropy/modeling/tests copying astropy/modeling/tests/test_quantities_evaluation.py -> build/lib.linux-x86_64-2.7/astropy/modeling/tests copying astropy/modeling/tests/irafutil.py -> build/lib.linux-x86_64-2.7/astropy/modeling/tests copying astropy/modeling/tests/test_constraints.py -> build/lib.linux-x86_64-2.7/astropy/modeling/tests copying astropy/modeling/tests/test_functional_models.py -> build/lib.linux-x86_64-2.7/astropy/modeling/tests copying astropy/modeling/tests/data/__init__.py -> build/lib.linux-x86_64-2.7/astropy/modeling/tests/data copying astropy/samp/tests/test_client.py -> build/lib.linux-x86_64-2.7/astropy/samp/tests copying astropy/samp/tests/test_helpers.py -> build/lib.linux-x86_64-2.7/astropy/samp/tests copying astropy/samp/tests/__init__.py -> build/lib.linux-x86_64-2.7/astropy/samp/tests copying astropy/samp/tests/test_hub.py -> build/lib.linux-x86_64-2.7/astropy/samp/tests copying astropy/samp/tests/test_hub_script.py -> build/lib.linux-x86_64-2.7/astropy/samp/tests copying astropy/samp/tests/test_errors.py -> build/lib.linux-x86_64-2.7/astropy/samp/tests copying astropy/samp/tests/web_profile_test_helpers.py -> build/lib.linux-x86_64-2.7/astropy/samp/tests copying astropy/samp/tests/test_web_profile.py -> build/lib.linux-x86_64-2.7/astropy/samp/tests copying astropy/samp/tests/test_standard_profile.py -> build/lib.linux-x86_64-2.7/astropy/samp/tests copying astropy/samp/tests/test_hub_proxy.py -> build/lib.linux-x86_64-2.7/astropy/samp/tests copying astropy/visualization/wcsaxes/core.py -> build/lib.linux-x86_64-2.7/astropy/visualization/wcsaxes copying astropy/visualization/wcsaxes/axislabels.py -> build/lib.linux-x86_64-2.7/astropy/visualization/wcsaxes copying astropy/visualization/wcsaxes/coordinate_helpers.py -> build/lib.linux-x86_64-2.7/astropy/visualization/wcsaxes copying astropy/visualization/wcsaxes/__init__.py -> build/lib.linux-x86_64-2.7/astropy/visualization/wcsaxes copying astropy/visualization/wcsaxes/coordinates_map.py -> build/lib.linux-x86_64-2.7/astropy/visualization/wcsaxes copying astropy/visualization/wcsaxes/ticks.py -> build/lib.linux-x86_64-2.7/astropy/visualization/wcsaxes copying astropy/visualization/wcsaxes/frame.py -> build/lib.linux-x86_64-2.7/astropy/visualization/wcsaxes copying astropy/visualization/wcsaxes/coordinate_range.py -> build/lib.linux-x86_64-2.7/astropy/visualization/wcsaxes copying astropy/visualization/wcsaxes/patches.py -> build/lib.linux-x86_64-2.7/astropy/visualization/wcsaxes copying astropy/visualization/wcsaxes/ticklabels.py -> build/lib.linux-x86_64-2.7/astropy/visualization/wcsaxes copying astropy/visualization/wcsaxes/grid_paths.py -> build/lib.linux-x86_64-2.7/astropy/visualization/wcsaxes copying astropy/visualization/wcsaxes/formatter_locator.py -> build/lib.linux-x86_64-2.7/astropy/visualization/wcsaxes copying astropy/visualization/wcsaxes/utils.py -> build/lib.linux-x86_64-2.7/astropy/visualization/wcsaxes copying astropy/visualization/wcsaxes/transforms.py -> build/lib.linux-x86_64-2.7/astropy/visualization/wcsaxes copying astropy/visualization/scripts/__init__.py -> build/lib.linux-x86_64-2.7/astropy/visualization/scripts copying astropy/visualization/scripts/fits2bitmap.py -> build/lib.linux-x86_64-2.7/astropy/visualization/scripts copying astropy/visualization/tests/test_norm.py -> build/lib.linux-x86_64-2.7/astropy/visualization/tests copying astropy/visualization/tests/test_interval.py -> build/lib.linux-x86_64-2.7/astropy/visualization/tests copying astropy/visualization/tests/test_lupton_rgb.py -> build/lib.linux-x86_64-2.7/astropy/visualization/tests copying astropy/visualization/tests/__init__.py -> build/lib.linux-x86_64-2.7/astropy/visualization/tests copying astropy/visualization/tests/test_units.py -> build/lib.linux-x86_64-2.7/astropy/visualization/tests copying astropy/visualization/tests/test_stretch.py -> build/lib.linux-x86_64-2.7/astropy/visualization/tests copying astropy/visualization/tests/test_histogram.py -> build/lib.linux-x86_64-2.7/astropy/visualization/tests copying astropy/visualization/wcsaxes/tests/datasets.py -> build/lib.linux-x86_64-2.7/astropy/visualization/wcsaxes/tests copying astropy/visualization/wcsaxes/tests/test_coordinate_helpers.py -> build/lib.linux-x86_64-2.7/astropy/visualization/wcsaxes/tests copying astropy/visualization/wcsaxes/tests/__init__.py -> build/lib.linux-x86_64-2.7/astropy/visualization/wcsaxes/tests copying astropy/visualization/wcsaxes/tests/test_transform_coord_meta.py -> build/lib.linux-x86_64-2.7/astropy/visualization/wcsaxes/tests copying astropy/visualization/wcsaxes/tests/test_frame.py -> build/lib.linux-x86_64-2.7/astropy/visualization/wcsaxes/tests copying astropy/visualization/wcsaxes/tests/test_transforms.py -> build/lib.linux-x86_64-2.7/astropy/visualization/wcsaxes/tests copying astropy/visualization/wcsaxes/tests/test_display_world_coordinates.py -> build/lib.linux-x86_64-2.7/astropy/visualization/wcsaxes/tests copying astropy/visualization/wcsaxes/tests/test_images.py -> build/lib.linux-x86_64-2.7/astropy/visualization/wcsaxes/tests copying astropy/visualization/wcsaxes/tests/test_utils.py -> build/lib.linux-x86_64-2.7/astropy/visualization/wcsaxes/tests copying astropy/visualization/wcsaxes/tests/setup_package.py -> build/lib.linux-x86_64-2.7/astropy/visualization/wcsaxes/tests copying astropy/visualization/wcsaxes/tests/test_misc.py -> build/lib.linux-x86_64-2.7/astropy/visualization/wcsaxes/tests copying astropy/visualization/wcsaxes/tests/test_formatter_locator.py -> build/lib.linux-x86_64-2.7/astropy/visualization/wcsaxes/tests copying astropy/visualization/scripts/tests/__init__.py -> build/lib.linux-x86_64-2.7/astropy/visualization/scripts/tests copying astropy/visualization/scripts/tests/test_fits2bitmap.py -> build/lib.linux-x86_64-2.7/astropy/visualization/scripts/tests copying astropy/convolution/tests/__init__.py -> build/lib.linux-x86_64-2.7/astropy/convolution/tests copying astropy/convolution/tests/test_kernel_class.py -> build/lib.linux-x86_64-2.7/astropy/convolution/tests copying astropy/convolution/tests/test_convolve_fft.py -> build/lib.linux-x86_64-2.7/astropy/convolution/tests copying astropy/convolution/tests/test_convolve.py -> build/lib.linux-x86_64-2.7/astropy/convolution/tests copying astropy/convolution/tests/test_convolve_kernels.py -> build/lib.linux-x86_64-2.7/astropy/convolution/tests copying astropy/convolution/tests/test_pickle.py -> build/lib.linux-x86_64-2.7/astropy/convolution/tests copying astropy/convolution/tests/test_discretize.py -> build/lib.linux-x86_64-2.7/astropy/convolution/tests copying astropy/convolution/tests/test_convolve_nddata.py -> build/lib.linux-x86_64-2.7/astropy/convolution/tests copying astropy/convolution/tests/test_convolve_models.py -> build/lib.linux-x86_64-2.7/astropy/convolution/tests copying astropy/convolution/tests/test_convolve_speeds.py -> build/lib.linux-x86_64-2.7/astropy/convolution/tests copying astropy/units/format/ogip_lextab.py -> build/lib.linux-x86_64-2.7/astropy/units/format copying astropy/units/format/cds.py -> build/lib.linux-x86_64-2.7/astropy/units/format copying astropy/units/format/generic_lextab.py -> build/lib.linux-x86_64-2.7/astropy/units/format copying astropy/units/format/fits.py -> build/lib.linux-x86_64-2.7/astropy/units/format copying astropy/units/format/ogip_parsetab.py -> build/lib.linux-x86_64-2.7/astropy/units/format copying astropy/units/format/__init__.py -> build/lib.linux-x86_64-2.7/astropy/units/format copying astropy/units/format/generic_parsetab.py -> build/lib.linux-x86_64-2.7/astropy/units/format copying astropy/units/format/ogip.py -> build/lib.linux-x86_64-2.7/astropy/units/format copying astropy/units/format/cds_parsetab.py -> build/lib.linux-x86_64-2.7/astropy/units/format copying astropy/units/format/unicode_format.py -> build/lib.linux-x86_64-2.7/astropy/units/format copying astropy/units/format/cds_lextab.py -> build/lib.linux-x86_64-2.7/astropy/units/format copying astropy/units/format/console.py -> build/lib.linux-x86_64-2.7/astropy/units/format copying astropy/units/format/vounit.py -> build/lib.linux-x86_64-2.7/astropy/units/format copying astropy/units/format/utils.py -> build/lib.linux-x86_64-2.7/astropy/units/format copying astropy/units/format/latex.py -> build/lib.linux-x86_64-2.7/astropy/units/format copying astropy/units/format/generic.py -> build/lib.linux-x86_64-2.7/astropy/units/format copying astropy/units/format/base.py -> build/lib.linux-x86_64-2.7/astropy/units/format copying astropy/units/tests/test_quantity_array_methods.py -> build/lib.linux-x86_64-2.7/astropy/units/tests copying astropy/units/tests/py3_test_quantity_annotations.py -> build/lib.linux-x86_64-2.7/astropy/units/tests copying astropy/units/tests/test_quantity_ufuncs.py -> build/lib.linux-x86_64-2.7/astropy/units/tests copying astropy/units/tests/__init__.py -> build/lib.linux-x86_64-2.7/astropy/units/tests copying astropy/units/tests/test_units.py -> build/lib.linux-x86_64-2.7/astropy/units/tests copying astropy/units/tests/test_quantity.py -> build/lib.linux-x86_64-2.7/astropy/units/tests copying astropy/units/tests/test_format.py -> build/lib.linux-x86_64-2.7/astropy/units/tests copying astropy/units/tests/test_quantity_decorator.py -> build/lib.linux-x86_64-2.7/astropy/units/tests copying astropy/units/tests/test_equivalencies.py -> build/lib.linux-x86_64-2.7/astropy/units/tests copying astropy/units/tests/test_physical.py -> build/lib.linux-x86_64-2.7/astropy/units/tests copying astropy/units/tests/test_deprecated.py -> build/lib.linux-x86_64-2.7/astropy/units/tests copying astropy/units/tests/test_logarithmic.py -> build/lib.linux-x86_64-2.7/astropy/units/tests copying astropy/units/tests/test_quantity_non_ufuncs.py -> build/lib.linux-x86_64-2.7/astropy/units/tests copying astropy/units/function/core.py -> build/lib.linux-x86_64-2.7/astropy/units/function copying astropy/units/function/logarithmic.py -> build/lib.linux-x86_64-2.7/astropy/units/function copying astropy/units/function/mixin.py -> build/lib.linux-x86_64-2.7/astropy/units/function copying astropy/units/function/__init__.py -> build/lib.linux-x86_64-2.7/astropy/units/function copying astropy/units/function/units.py -> build/lib.linux-x86_64-2.7/astropy/units/function copying astropy/units/function/magnitude_zero_points.py -> build/lib.linux-x86_64-2.7/astropy/units/function copying astropy/extern/bundled/six.py -> build/lib.linux-x86_64-2.7/astropy/extern/bundled copying astropy/extern/bundled/__init__.py -> build/lib.linux-x86_64-2.7/astropy/extern/bundled copying astropy/coordinates/tests/test_sky_coord.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/tests copying astropy/coordinates/tests/test_funcs.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/tests copying astropy/coordinates/tests/test_matrix_utilities.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/tests copying astropy/coordinates/tests/test_representation_methods.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/tests copying astropy/coordinates/tests/test_skyoffset_transformations.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/tests copying astropy/coordinates/tests/test_matching.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/tests copying astropy/coordinates/tests/test_regression.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/tests copying astropy/coordinates/tests/test_angular_separation.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/tests copying astropy/coordinates/tests/test_transformations.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/tests copying astropy/coordinates/tests/test_api_ape5.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/tests copying astropy/coordinates/tests/test_unit_representation.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/tests copying astropy/coordinates/tests/__init__.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/tests copying astropy/coordinates/tests/test_velocity_corrs.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/tests copying astropy/coordinates/tests/test_arrays.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/tests copying astropy/coordinates/tests/test_representation_arithmetic.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/tests copying astropy/coordinates/tests/test_formatting.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/tests copying astropy/coordinates/tests/test_frames.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/tests copying astropy/coordinates/tests/test_earth.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/tests copying astropy/coordinates/tests/test_solar_system.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/tests copying astropy/coordinates/tests/test_finite_difference_velocities.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/tests copying astropy/coordinates/tests/test_celestial_transformations.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/tests copying astropy/coordinates/tests/test_iau_fullstack.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/tests copying astropy/coordinates/tests/test_intermediate_transformations.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/tests copying astropy/coordinates/tests/test_sites.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/tests copying astropy/coordinates/tests/test_representation.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/tests copying astropy/coordinates/tests/test_distance.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/tests copying astropy/coordinates/tests/test_pickle.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/tests copying astropy/coordinates/tests/test_atc_replacements.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/tests copying astropy/coordinates/tests/test_shape_manipulation.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/tests copying astropy/coordinates/tests/utils.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/tests copying astropy/coordinates/tests/test_frames_with_velocity.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/tests copying astropy/coordinates/tests/test_name_resolve.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/tests copying astropy/coordinates/tests/test_angles.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/tests copying astropy/coordinates/builtin_frames/hcrs.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/builtin_frames copying astropy/coordinates/builtin_frames/galactic_transforms.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/builtin_frames copying astropy/coordinates/builtin_frames/skyoffset.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/builtin_frames copying astropy/coordinates/builtin_frames/ecliptic.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/builtin_frames copying astropy/coordinates/builtin_frames/lsr.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/builtin_frames copying astropy/coordinates/builtin_frames/galactocentric.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/builtin_frames copying astropy/coordinates/builtin_frames/__init__.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/builtin_frames copying astropy/coordinates/builtin_frames/icrs_cirs_transforms.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/builtin_frames copying astropy/coordinates/builtin_frames/fk5.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/builtin_frames copying astropy/coordinates/builtin_frames/galactic.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/builtin_frames copying astropy/coordinates/builtin_frames/gcrs.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/builtin_frames copying astropy/coordinates/builtin_frames/altaz.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/builtin_frames copying astropy/coordinates/builtin_frames/ecliptic_transforms.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/builtin_frames copying astropy/coordinates/builtin_frames/cirs_observed_transforms.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/builtin_frames copying astropy/coordinates/builtin_frames/supergalactic_transforms.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/builtin_frames copying astropy/coordinates/builtin_frames/fk4.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/builtin_frames copying astropy/coordinates/builtin_frames/fk4_fk5_transforms.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/builtin_frames copying astropy/coordinates/builtin_frames/cirs.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/builtin_frames copying astropy/coordinates/builtin_frames/utils.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/builtin_frames copying astropy/coordinates/builtin_frames/baseradec.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/builtin_frames copying astropy/coordinates/builtin_frames/supergalactic.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/builtin_frames copying astropy/coordinates/builtin_frames/icrs_fk5_transforms.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/builtin_frames copying astropy/coordinates/builtin_frames/itrs.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/builtin_frames copying astropy/coordinates/builtin_frames/intermediate_rotation_transforms.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/builtin_frames copying astropy/coordinates/builtin_frames/icrs.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/builtin_frames copying astropy/coordinates/tests/accuracy/test_galactic_fk4.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/tests/accuracy copying astropy/coordinates/tests/accuracy/__init__.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/tests/accuracy copying astropy/coordinates/tests/accuracy/test_fk4_no_e_fk4.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/tests/accuracy copying astropy/coordinates/tests/accuracy/generate_ref_ast.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/tests/accuracy copying astropy/coordinates/tests/accuracy/test_altaz_icrs.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/tests/accuracy copying astropy/coordinates/tests/accuracy/test_ecliptic.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/tests/accuracy copying astropy/coordinates/tests/accuracy/test_icrs_fk5.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/tests/accuracy copying astropy/coordinates/tests/accuracy/test_fk4_no_e_fk5.py -> build/lib.linux-x86_64-2.7/astropy/coordinates/tests/accuracy copying astropy/io/misc/connect.py -> build/lib.linux-x86_64-2.7/astropy/io/misc copying astropy/io/misc/__init__.py -> build/lib.linux-x86_64-2.7/astropy/io/misc copying astropy/io/misc/pickle_helpers.py -> build/lib.linux-x86_64-2.7/astropy/io/misc copying astropy/io/misc/yaml.py -> build/lib.linux-x86_64-2.7/astropy/io/misc copying astropy/io/misc/hdf5.py -> build/lib.linux-x86_64-2.7/astropy/io/misc copying astropy/io/ascii/fixedwidth.py -> build/lib.linux-x86_64-2.7/astropy/io/ascii copying astropy/io/ascii/core.py -> build/lib.linux-x86_64-2.7/astropy/io/ascii copying astropy/io/ascii/cds.py -> build/lib.linux-x86_64-2.7/astropy/io/ascii copying astropy/io/ascii/html.py -> build/lib.linux-x86_64-2.7/astropy/io/ascii copying astropy/io/ascii/connect.py -> build/lib.linux-x86_64-2.7/astropy/io/ascii copying astropy/io/ascii/__init__.py -> build/lib.linux-x86_64-2.7/astropy/io/ascii copying astropy/io/ascii/daophot.py -> build/lib.linux-x86_64-2.7/astropy/io/ascii copying astropy/io/ascii/ipac.py -> build/lib.linux-x86_64-2.7/astropy/io/ascii copying astropy/io/ascii/ecsv.py -> build/lib.linux-x86_64-2.7/astropy/io/ascii copying astropy/io/ascii/sextractor.py -> build/lib.linux-x86_64-2.7/astropy/io/ascii copying astropy/io/ascii/setup_package.py -> build/lib.linux-x86_64-2.7/astropy/io/ascii copying astropy/io/ascii/latex.py -> build/lib.linux-x86_64-2.7/astropy/io/ascii copying astropy/io/ascii/misc.py -> build/lib.linux-x86_64-2.7/astropy/io/ascii copying astropy/io/ascii/fastbasic.py -> build/lib.linux-x86_64-2.7/astropy/io/ascii copying astropy/io/ascii/basic.py -> build/lib.linux-x86_64-2.7/astropy/io/ascii copying astropy/io/ascii/rst.py -> build/lib.linux-x86_64-2.7/astropy/io/ascii copying astropy/io/ascii/ui.py -> build/lib.linux-x86_64-2.7/astropy/io/ascii copying astropy/io/tests/test_registry.py -> build/lib.linux-x86_64-2.7/astropy/io/tests copying astropy/io/tests/__init__.py -> build/lib.linux-x86_64-2.7/astropy/io/tests copying astropy/io/votable/tree.py -> build/lib.linux-x86_64-2.7/astropy/io/votable copying astropy/io/votable/table.py -> build/lib.linux-x86_64-2.7/astropy/io/votable copying astropy/io/votable/volint.py -> build/lib.linux-x86_64-2.7/astropy/io/votable copying astropy/io/votable/xmlutil.py -> build/lib.linux-x86_64-2.7/astropy/io/votable copying astropy/io/votable/connect.py -> build/lib.linux-x86_64-2.7/astropy/io/votable copying astropy/io/votable/__init__.py -> build/lib.linux-x86_64-2.7/astropy/io/votable copying astropy/io/votable/ucd.py -> build/lib.linux-x86_64-2.7/astropy/io/votable copying astropy/io/votable/exceptions.py -> build/lib.linux-x86_64-2.7/astropy/io/votable copying astropy/io/votable/setup_package.py -> build/lib.linux-x86_64-2.7/astropy/io/votable copying astropy/io/votable/util.py -> build/lib.linux-x86_64-2.7/astropy/io/votable copying astropy/io/votable/converters.py -> build/lib.linux-x86_64-2.7/astropy/io/votable copying astropy/io/fits/fitsrec.py -> build/lib.linux-x86_64-2.7/astropy/io/fits copying astropy/io/fits/file.py -> build/lib.linux-x86_64-2.7/astropy/io/fits copying astropy/io/fits/verify.py -> build/lib.linux-x86_64-2.7/astropy/io/fits copying astropy/io/fits/convenience.py -> build/lib.linux-x86_64-2.7/astropy/io/fits copying astropy/io/fits/connect.py -> build/lib.linux-x86_64-2.7/astropy/io/fits copying astropy/io/fits/__init__.py -> build/lib.linux-x86_64-2.7/astropy/io/fits copying astropy/io/fits/diff.py -> build/lib.linux-x86_64-2.7/astropy/io/fits copying astropy/io/fits/column.py -> build/lib.linux-x86_64-2.7/astropy/io/fits copying astropy/io/fits/card.py -> build/lib.linux-x86_64-2.7/astropy/io/fits copying astropy/io/fits/setup_package.py -> build/lib.linux-x86_64-2.7/astropy/io/fits copying astropy/io/fits/util.py -> build/lib.linux-x86_64-2.7/astropy/io/fits copying astropy/io/fits/py3compat.py -> build/lib.linux-x86_64-2.7/astropy/io/fits copying astropy/io/fits/_numpy_hacks.py -> build/lib.linux-x86_64-2.7/astropy/io/fits copying astropy/io/fits/header.py -> build/lib.linux-x86_64-2.7/astropy/io/fits copying astropy/io/misc/tests/test_hdf5.py -> build/lib.linux-x86_64-2.7/astropy/io/misc/tests copying astropy/io/misc/tests/__init__.py -> build/lib.linux-x86_64-2.7/astropy/io/misc/tests copying astropy/io/misc/tests/test_yaml.py -> build/lib.linux-x86_64-2.7/astropy/io/misc/tests copying astropy/io/misc/tests/test_pickle_helpers.py -> build/lib.linux-x86_64-2.7/astropy/io/misc/tests copying astropy/io/ascii/tests/test_html.py -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests copying astropy/io/ascii/tests/test_c_reader.py -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests copying astropy/io/ascii/tests/test_connect.py -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests copying astropy/io/ascii/tests/test_fixedwidth.py -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests copying astropy/io/ascii/tests/test_ecsv.py -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests copying astropy/io/ascii/tests/test_read.py -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests copying astropy/io/ascii/tests/test_write.py -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests copying astropy/io/ascii/tests/__init__.py -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests copying astropy/io/ascii/tests/common.py -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests copying astropy/io/ascii/tests/test_cds_header_from_readme.py -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests copying astropy/io/ascii/tests/test_compressed.py -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests copying astropy/io/ascii/tests/test_rst.py -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests copying astropy/io/ascii/tests/test_types.py -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests copying astropy/io/ascii/tests/test_ipac_definitions.py -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests copying astropy/io/votable/tests/exception_test.py -> build/lib.linux-x86_64-2.7/astropy/io/votable/tests copying astropy/io/votable/tests/util_test.py -> build/lib.linux-x86_64-2.7/astropy/io/votable/tests copying astropy/io/votable/tests/__init__.py -> build/lib.linux-x86_64-2.7/astropy/io/votable/tests copying astropy/io/votable/tests/tree_test.py -> build/lib.linux-x86_64-2.7/astropy/io/votable/tests copying astropy/io/votable/tests/ucd_test.py -> build/lib.linux-x86_64-2.7/astropy/io/votable/tests copying astropy/io/votable/tests/converter_test.py -> build/lib.linux-x86_64-2.7/astropy/io/votable/tests copying astropy/io/votable/tests/vo_test.py -> build/lib.linux-x86_64-2.7/astropy/io/votable/tests copying astropy/io/votable/tests/table_test.py -> build/lib.linux-x86_64-2.7/astropy/io/votable/tests copying astropy/io/votable/validator/html.py -> build/lib.linux-x86_64-2.7/astropy/io/votable/validator copying astropy/io/votable/validator/result.py -> build/lib.linux-x86_64-2.7/astropy/io/votable/validator copying astropy/io/votable/validator/__init__.py -> build/lib.linux-x86_64-2.7/astropy/io/votable/validator copying astropy/io/votable/validator/main.py -> build/lib.linux-x86_64-2.7/astropy/io/votable/validator copying astropy/io/fits/hdu/table.py -> build/lib.linux-x86_64-2.7/astropy/io/fits/hdu copying astropy/io/fits/hdu/__init__.py -> build/lib.linux-x86_64-2.7/astropy/io/fits/hdu copying astropy/io/fits/hdu/groups.py -> build/lib.linux-x86_64-2.7/astropy/io/fits/hdu copying astropy/io/fits/hdu/compressed.py -> build/lib.linux-x86_64-2.7/astropy/io/fits/hdu copying astropy/io/fits/hdu/hdulist.py -> build/lib.linux-x86_64-2.7/astropy/io/fits/hdu copying astropy/io/fits/hdu/image.py -> build/lib.linux-x86_64-2.7/astropy/io/fits/hdu copying astropy/io/fits/hdu/nonstandard.py -> build/lib.linux-x86_64-2.7/astropy/io/fits/hdu copying astropy/io/fits/hdu/streaming.py -> build/lib.linux-x86_64-2.7/astropy/io/fits/hdu copying astropy/io/fits/hdu/base.py -> build/lib.linux-x86_64-2.7/astropy/io/fits/hdu copying astropy/io/fits/scripts/__init__.py -> build/lib.linux-x86_64-2.7/astropy/io/fits/scripts copying astropy/io/fits/scripts/fitsdiff.py -> build/lib.linux-x86_64-2.7/astropy/io/fits/scripts copying astropy/io/fits/scripts/fitsheader.py -> build/lib.linux-x86_64-2.7/astropy/io/fits/scripts copying astropy/io/fits/scripts/fitsinfo.py -> build/lib.linux-x86_64-2.7/astropy/io/fits/scripts copying astropy/io/fits/scripts/fitscheck.py -> build/lib.linux-x86_64-2.7/astropy/io/fits/scripts copying astropy/io/fits/tests/test_core.py -> build/lib.linux-x86_64-2.7/astropy/io/fits/tests copying astropy/io/fits/tests/test_division.py -> build/lib.linux-x86_64-2.7/astropy/io/fits/tests copying astropy/io/fits/tests/test_connect.py -> build/lib.linux-x86_64-2.7/astropy/io/fits/tests copying astropy/io/fits/tests/test_nonstandard.py -> build/lib.linux-x86_64-2.7/astropy/io/fits/tests copying astropy/io/fits/tests/test_hdulist.py -> build/lib.linux-x86_64-2.7/astropy/io/fits/tests copying astropy/io/fits/tests/__init__.py -> build/lib.linux-x86_64-2.7/astropy/io/fits/tests copying astropy/io/fits/tests/test_structured.py -> build/lib.linux-x86_64-2.7/astropy/io/fits/tests copying astropy/io/fits/tests/test_image.py -> build/lib.linux-x86_64-2.7/astropy/io/fits/tests copying astropy/io/fits/tests/test_util.py -> build/lib.linux-x86_64-2.7/astropy/io/fits/tests copying astropy/io/fits/tests/test_checksum.py -> build/lib.linux-x86_64-2.7/astropy/io/fits/tests copying astropy/io/fits/tests/test_convenience.py -> build/lib.linux-x86_64-2.7/astropy/io/fits/tests copying astropy/io/fits/tests/test_header.py -> build/lib.linux-x86_64-2.7/astropy/io/fits/tests copying astropy/io/fits/tests/test_uint.py -> build/lib.linux-x86_64-2.7/astropy/io/fits/tests copying astropy/io/fits/tests/test_groups.py -> build/lib.linux-x86_64-2.7/astropy/io/fits/tests copying astropy/io/fits/tests/test_diff.py -> build/lib.linux-x86_64-2.7/astropy/io/fits/tests copying astropy/io/fits/tests/test_table.py -> build/lib.linux-x86_64-2.7/astropy/io/fits/tests copying astropy/io/fits/tests/test_fitsdiff.py -> build/lib.linux-x86_64-2.7/astropy/io/fits/tests copying astropy/wcs/include/astropy_wcs/astropy_wcs.h -> build/lib.linux-x86_64-2.7/astropy/wcs/include/astropy_wcs copying astropy/wcs/include/astropy_wcs/astropy_wcs_api.h -> build/lib.linux-x86_64-2.7/astropy/wcs/include/astropy_wcs copying astropy/wcs/include/astropy_wcs/distortion.h -> build/lib.linux-x86_64-2.7/astropy/wcs/include/astropy_wcs copying astropy/wcs/include/astropy_wcs/isnan.h -> build/lib.linux-x86_64-2.7/astropy/wcs/include/astropy_wcs copying astropy/wcs/include/astropy_wcs/pipeline.h -> build/lib.linux-x86_64-2.7/astropy/wcs/include/astropy_wcs copying astropy/wcs/include/astropy_wcs/pyutil.h -> build/lib.linux-x86_64-2.7/astropy/wcs/include/astropy_wcs copying astropy/wcs/include/astropy_wcs/sip.h -> build/lib.linux-x86_64-2.7/astropy/wcs/include/astropy_wcs copying astropy/wcs/include/astropy_wcs/util.h -> build/lib.linux-x86_64-2.7/astropy/wcs/include/astropy_wcs copying astropy/wcs/include/astropy_wcs_api.h -> build/lib.linux-x86_64-2.7/astropy/wcs/include copying astropy/tests/coveragerc -> build/lib.linux-x86_64-2.7/astropy/tests copying astropy/samp/data/astropy_icon.png -> build/lib.linux-x86_64-2.7/astropy/samp/data copying astropy/samp/data/clientaccesspolicy.xml -> build/lib.linux-x86_64-2.7/astropy/samp/data copying astropy/samp/data/crossdomain.xml -> build/lib.linux-x86_64-2.7/astropy/samp/data copying astropy/coordinates/data/constellation_data_roman87.dat -> build/lib.linux-x86_64-2.7/astropy/coordinates/data copying astropy/coordinates/data/constellation_names.dat -> build/lib.linux-x86_64-2.7/astropy/coordinates/data copying astropy/coordinates/data/sites.json -> build/lib.linux-x86_64-2.7/astropy/coordinates/data copying astropy/utils/tests/data/test_package/__init__.py -> build/lib.linux-x86_64-2.7/astropy/utils/tests/data/test_package copying astropy/utils/tests/data/test_package/data/foo.txt -> build/lib.linux-x86_64-2.7/astropy/utils/tests/data/test_package/data copying astropy/utils/tests/data/local.dat -> build/lib.linux-x86_64-2.7/astropy/utils/tests/data copying astropy/utils/tests/data/unicode.txt -> build/lib.linux-x86_64-2.7/astropy/utils/tests/data copying astropy/utils/tests/data/local.dat.gz -> build/lib.linux-x86_64-2.7/astropy/utils/tests/data copying astropy/utils/tests/data/unicode.txt.gz -> build/lib.linux-x86_64-2.7/astropy/utils/tests/data copying astropy/utils/tests/data/local.dat.bz2 -> build/lib.linux-x86_64-2.7/astropy/utils/tests/data copying astropy/utils/tests/data/unicode.txt.bz2 -> build/lib.linux-x86_64-2.7/astropy/utils/tests/data copying astropy/utils/tests/data/local.dat.xz -> build/lib.linux-x86_64-2.7/astropy/utils/tests/data copying astropy/utils/tests/data/unicode.txt.xz -> build/lib.linux-x86_64-2.7/astropy/utils/tests/data copying astropy/utils/tests/data/.hidden_file.txt -> build/lib.linux-x86_64-2.7/astropy/utils/tests/data copying astropy/utils/tests/data/alias.cfg -> build/lib.linux-x86_64-2.7/astropy/utils/tests/data copying astropy/utils/iers/data/ReadMe.eopc04_IAU2000 -> build/lib.linux-x86_64-2.7/astropy/utils/iers/data copying astropy/utils/iers/data/ReadMe.finals2000A -> build/lib.linux-x86_64-2.7/astropy/utils/iers/data copying astropy/utils/iers/data/eopc04_IAU2000.62-now -> build/lib.linux-x86_64-2.7/astropy/utils/iers/data copying astropy/utils/iers/tests/finals2000A-2016-04-30-test -> build/lib.linux-x86_64-2.7/astropy/utils/iers/tests copying astropy/utils/iers/tests/finals2000A-2016-02-30-test -> build/lib.linux-x86_64-2.7/astropy/utils/iers/tests copying astropy/utils/iers/tests/iers_a_excerpt -> build/lib.linux-x86_64-2.7/astropy/utils/iers/tests copying astropy/nddata/tests/data/sip-wcs.fits -> build/lib.linux-x86_64-2.7/astropy/nddata/tests/data copying astropy/wcs/tests/data/outside_sky.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/data copying astropy/wcs/tests/data/tpvonly.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/data copying astropy/wcs/tests/data/unit.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/data copying astropy/wcs/tests/data/sip-broken.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/data copying astropy/wcs/tests/data/sub-segfault.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/data copying astropy/wcs/tests/data/defunct_keywords.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/data copying astropy/wcs/tests/data/3d_cd.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/data copying astropy/wcs/tests/data/zpn-hole.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/data copying astropy/wcs/tests/data/siponly.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/data copying astropy/wcs/tests/data/2wcses.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/data copying astropy/wcs/tests/data/nonstandard_units.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/data copying astropy/wcs/tests/data/irac_sip.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/data copying astropy/wcs/tests/data/invalid_header.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/data copying astropy/wcs/tests/data/locale.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/data copying astropy/wcs/tests/data/too_many_pv.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/data copying astropy/wcs/tests/data/sip.fits -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/data copying astropy/wcs/tests/data/header_newlines.fits -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/data copying astropy/wcs/tests/data/sip2.fits -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/data copying astropy/wcs/tests/data/j94f05bgq_flt.fits -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/data copying astropy/wcs/tests/data/dist.fits -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/data copying astropy/wcs/tests/data/validate.fits -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/data copying astropy/wcs/tests/data/validate.5.13.txt -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/data copying astropy/wcs/tests/data/validate.5.0.txt -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/data copying astropy/wcs/tests/data/validate.txt -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/data copying astropy/wcs/tests/data/dist_lookup.fits.gz -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/data copying astropy/wcs/tests/maps/1904-66_QSC.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/maps copying astropy/wcs/tests/maps/1904-66_STG.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/maps copying astropy/wcs/tests/maps/1904-66_ZEA.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/maps copying astropy/wcs/tests/maps/1904-66_MOL.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/maps copying astropy/wcs/tests/maps/1904-66_COP.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/maps copying astropy/wcs/tests/maps/1904-66_SIN.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/maps copying astropy/wcs/tests/maps/1904-66_SZP.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/maps copying astropy/wcs/tests/maps/1904-66_BON.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/maps copying astropy/wcs/tests/maps/1904-66_CEA.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/maps copying astropy/wcs/tests/maps/1904-66_HPX.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/maps copying astropy/wcs/tests/maps/1904-66_COD.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/maps copying astropy/wcs/tests/maps/1904-66_PCO.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/maps copying astropy/wcs/tests/maps/1904-66_ZPN.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/maps copying astropy/wcs/tests/maps/1904-66_TAN.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/maps copying astropy/wcs/tests/maps/1904-66_AIR.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/maps copying astropy/wcs/tests/maps/1904-66_PAR.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/maps copying astropy/wcs/tests/maps/1904-66_NCP.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/maps copying astropy/wcs/tests/maps/1904-66_ARC.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/maps copying astropy/wcs/tests/maps/1904-66_CAR.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/maps copying astropy/wcs/tests/maps/1904-66_COE.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/maps copying astropy/wcs/tests/maps/1904-66_MER.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/maps copying astropy/wcs/tests/maps/1904-66_CSC.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/maps copying astropy/wcs/tests/maps/1904-66_SFL.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/maps copying astropy/wcs/tests/maps/1904-66_AZP.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/maps copying astropy/wcs/tests/maps/1904-66_CYP.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/maps copying astropy/wcs/tests/maps/1904-66_TSC.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/maps copying astropy/wcs/tests/maps/1904-66_COO.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/maps copying astropy/wcs/tests/maps/1904-66_AIT.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/maps copying astropy/wcs/tests/spectra/orion-wave-1.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/spectra copying astropy/wcs/tests/spectra/orion-velo-4.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/spectra copying astropy/wcs/tests/spectra/orion-freq-4.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/spectra copying astropy/wcs/tests/spectra/orion-velo-1.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/spectra copying astropy/wcs/tests/spectra/orion-wave-4.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/spectra copying astropy/wcs/tests/spectra/orion-freq-1.hdr -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/spectra copying astropy/wcs/tests/extension/wcsapi_test.c -> build/lib.linux-x86_64-2.7/astropy/wcs/tests/extension copying astropy/config/tests/data/alias.cfg -> build/lib.linux-x86_64-2.7/astropy/config/tests/data copying astropy/config/tests/data/astropy.0.3.cfg -> build/lib.linux-x86_64-2.7/astropy/config/tests/data copying astropy/config/tests/data/astropy.0.3.windows.cfg -> build/lib.linux-x86_64-2.7/astropy/config/tests/data copying astropy/config/tests/data/not_empty.cfg -> build/lib.linux-x86_64-2.7/astropy/config/tests/data copying astropy/config/tests/data/deprecated.cfg -> build/lib.linux-x86_64-2.7/astropy/config/tests/data copying astropy/config/tests/data/empty.cfg -> build/lib.linux-x86_64-2.7/astropy/config/tests/data copying astropy/vo/validator/data/conesearch_urls.txt -> build/lib.linux-x86_64-2.7/astropy/vo/validator/data copying astropy/vo/validator/tests/data/conesearch_good.json -> build/lib.linux-x86_64-2.7/astropy/vo/validator/tests/data copying astropy/vo/validator/tests/data/conesearch_warn.json -> build/lib.linux-x86_64-2.7/astropy/vo/validator/tests/data copying astropy/vo/validator/tests/data/conesearch_exception.json -> build/lib.linux-x86_64-2.7/astropy/vo/validator/tests/data copying astropy/vo/validator/tests/data/conesearch_error.json -> build/lib.linux-x86_64-2.7/astropy/vo/validator/tests/data copying astropy/vo/validator/tests/data/vao_conesearch_sites_121107_subset.xml -> build/lib.linux-x86_64-2.7/astropy/vo/validator/tests/data copying astropy/vo/validator/tests/data/listcats1.out -> build/lib.linux-x86_64-2.7/astropy/vo/validator/tests/data copying astropy/vo/validator/tests/data/tally.out -> build/lib.linux-x86_64-2.7/astropy/vo/validator/tests/data copying astropy/vo/validator/tests/data/printcat.out -> build/lib.linux-x86_64-2.7/astropy/vo/validator/tests/data copying astropy/vo/validator/tests/data/listcats2.out -> build/lib.linux-x86_64-2.7/astropy/vo/validator/tests/data copying astropy/vo/client/tests/data/conesearch_error2.xml -> build/lib.linux-x86_64-2.7/astropy/vo/client/tests/data copying astropy/vo/client/tests/data/conesearch_error4.xml -> build/lib.linux-x86_64-2.7/astropy/vo/client/tests/data copying astropy/vo/client/tests/data/conesearch_error3.xml -> build/lib.linux-x86_64-2.7/astropy/vo/client/tests/data copying astropy/vo/client/tests/data/conesearch_error1.xml -> build/lib.linux-x86_64-2.7/astropy/vo/client/tests/data copying astropy/vo/client/tests/data/basic.json -> build/lib.linux-x86_64-2.7/astropy/vo/client/tests/data copying astropy/tests/tests/data/open_file_detection.txt -> build/lib.linux-x86_64-2.7/astropy/tests/tests/data copying astropy/modeling/tests/data/idcompspec.fits -> build/lib.linux-x86_64-2.7/astropy/modeling/tests/data copying astropy/modeling/tests/data/1904-66_AZP.fits -> build/lib.linux-x86_64-2.7/astropy/modeling/tests/data copying astropy/modeling/tests/data/hst_sip.hdr -> build/lib.linux-x86_64-2.7/astropy/modeling/tests/data copying astropy/modeling/tests/data/irac_sip.hdr -> build/lib.linux-x86_64-2.7/astropy/modeling/tests/data copying astropy/modeling/tests/../../wcs/tests/maps/1904-66_QSC.hdr -> build/lib.linux-x86_64-2.7/astropy/modeling/tests/../../wcs/tests/maps copying astropy/modeling/tests/../../wcs/tests/maps/1904-66_STG.hdr -> build/lib.linux-x86_64-2.7/astropy/modeling/tests/../../wcs/tests/maps copying astropy/modeling/tests/../../wcs/tests/maps/1904-66_ZEA.hdr -> build/lib.linux-x86_64-2.7/astropy/modeling/tests/../../wcs/tests/maps copying astropy/modeling/tests/../../wcs/tests/maps/1904-66_MOL.hdr -> build/lib.linux-x86_64-2.7/astropy/modeling/tests/../../wcs/tests/maps copying astropy/modeling/tests/../../wcs/tests/maps/1904-66_COP.hdr -> build/lib.linux-x86_64-2.7/astropy/modeling/tests/../../wcs/tests/maps copying astropy/modeling/tests/../../wcs/tests/maps/1904-66_SIN.hdr -> build/lib.linux-x86_64-2.7/astropy/modeling/tests/../../wcs/tests/maps copying astropy/modeling/tests/../../wcs/tests/maps/1904-66_SZP.hdr -> build/lib.linux-x86_64-2.7/astropy/modeling/tests/../../wcs/tests/maps copying astropy/modeling/tests/../../wcs/tests/maps/1904-66_BON.hdr -> build/lib.linux-x86_64-2.7/astropy/modeling/tests/../../wcs/tests/maps copying astropy/modeling/tests/../../wcs/tests/maps/1904-66_CEA.hdr -> build/lib.linux-x86_64-2.7/astropy/modeling/tests/../../wcs/tests/maps copying astropy/modeling/tests/../../wcs/tests/maps/1904-66_HPX.hdr -> build/lib.linux-x86_64-2.7/astropy/modeling/tests/../../wcs/tests/maps copying astropy/modeling/tests/../../wcs/tests/maps/1904-66_COD.hdr -> build/lib.linux-x86_64-2.7/astropy/modeling/tests/../../wcs/tests/maps copying astropy/modeling/tests/../../wcs/tests/maps/1904-66_PCO.hdr -> build/lib.linux-x86_64-2.7/astropy/modeling/tests/../../wcs/tests/maps copying astropy/modeling/tests/../../wcs/tests/maps/1904-66_ZPN.hdr -> build/lib.linux-x86_64-2.7/astropy/modeling/tests/../../wcs/tests/maps copying astropy/modeling/tests/../../wcs/tests/maps/1904-66_TAN.hdr -> build/lib.linux-x86_64-2.7/astropy/modeling/tests/../../wcs/tests/maps copying astropy/modeling/tests/../../wcs/tests/maps/1904-66_AIR.hdr -> build/lib.linux-x86_64-2.7/astropy/modeling/tests/../../wcs/tests/maps copying astropy/modeling/tests/../../wcs/tests/maps/1904-66_PAR.hdr -> build/lib.linux-x86_64-2.7/astropy/modeling/tests/../../wcs/tests/maps copying astropy/modeling/tests/../../wcs/tests/maps/1904-66_NCP.hdr -> build/lib.linux-x86_64-2.7/astropy/modeling/tests/../../wcs/tests/maps copying astropy/modeling/tests/../../wcs/tests/maps/1904-66_ARC.hdr -> build/lib.linux-x86_64-2.7/astropy/modeling/tests/../../wcs/tests/maps copying astropy/modeling/tests/../../wcs/tests/maps/1904-66_CAR.hdr -> build/lib.linux-x86_64-2.7/astropy/modeling/tests/../../wcs/tests/maps copying astropy/modeling/tests/../../wcs/tests/maps/1904-66_COE.hdr -> build/lib.linux-x86_64-2.7/astropy/modeling/tests/../../wcs/tests/maps copying astropy/modeling/tests/../../wcs/tests/maps/1904-66_MER.hdr -> build/lib.linux-x86_64-2.7/astropy/modeling/tests/../../wcs/tests/maps copying astropy/modeling/tests/../../wcs/tests/maps/1904-66_CSC.hdr -> build/lib.linux-x86_64-2.7/astropy/modeling/tests/../../wcs/tests/maps copying astropy/modeling/tests/../../wcs/tests/maps/1904-66_SFL.hdr -> build/lib.linux-x86_64-2.7/astropy/modeling/tests/../../wcs/tests/maps copying astropy/modeling/tests/../../wcs/tests/maps/1904-66_AZP.hdr -> build/lib.linux-x86_64-2.7/astropy/modeling/tests/../../wcs/tests/maps copying astropy/modeling/tests/../../wcs/tests/maps/1904-66_CYP.hdr -> build/lib.linux-x86_64-2.7/astropy/modeling/tests/../../wcs/tests/maps copying astropy/modeling/tests/../../wcs/tests/maps/1904-66_TSC.hdr -> build/lib.linux-x86_64-2.7/astropy/modeling/tests/../../wcs/tests/maps copying astropy/modeling/tests/../../wcs/tests/maps/1904-66_COO.hdr -> build/lib.linux-x86_64-2.7/astropy/modeling/tests/../../wcs/tests/maps copying astropy/modeling/tests/../../wcs/tests/maps/1904-66_AIT.hdr -> build/lib.linux-x86_64-2.7/astropy/modeling/tests/../../wcs/tests/maps copying astropy/visualization/wcsaxes/tests/data/rosat_header -> build/lib.linux-x86_64-2.7/astropy/visualization/wcsaxes/tests/data copying astropy/visualization/wcsaxes/tests/data/msx_header -> build/lib.linux-x86_64-2.7/astropy/visualization/wcsaxes/tests/data copying astropy/visualization/wcsaxes/tests/data/slice_header -> build/lib.linux-x86_64-2.7/astropy/visualization/wcsaxes/tests/data copying astropy/visualization/wcsaxes/tests/data/cube_header -> build/lib.linux-x86_64-2.7/astropy/visualization/wcsaxes/tests/data copying astropy/visualization/wcsaxes/tests/data/2MASS_k_header -> build/lib.linux-x86_64-2.7/astropy/visualization/wcsaxes/tests/data copying astropy/coordinates/tests/accuracy/galactic_fk4.csv -> build/lib.linux-x86_64-2.7/astropy/coordinates/tests/accuracy copying astropy/coordinates/tests/accuracy/icrs_fk5.csv -> build/lib.linux-x86_64-2.7/astropy/coordinates/tests/accuracy copying astropy/coordinates/tests/accuracy/fk4_no_e_fk5.csv -> build/lib.linux-x86_64-2.7/astropy/coordinates/tests/accuracy copying astropy/coordinates/tests/accuracy/fk4_no_e_fk4.csv -> build/lib.linux-x86_64-2.7/astropy/coordinates/tests/accuracy copying astropy/io/votable/data/ucd1p-words.txt -> build/lib.linux-x86_64-2.7/astropy/io/votable/data copying astropy/io/votable/data/VOTable.v1.1.xsd -> build/lib.linux-x86_64-2.7/astropy/io/votable/data copying astropy/io/votable/data/VOTable.v1.3.xsd -> build/lib.linux-x86_64-2.7/astropy/io/votable/data copying astropy/io/votable/data/VOTable.v1.2.xsd -> build/lib.linux-x86_64-2.7/astropy/io/votable/data copying astropy/io/votable/data/VOTable.dtd -> build/lib.linux-x86_64-2.7/astropy/io/votable/data copying astropy/io/ascii/tests/t/vizier/ReadMe -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t/vizier copying astropy/io/ascii/tests/t/vizier/table1.dat -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t/vizier copying astropy/io/ascii/tests/t/vizier/table5.dat -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t/vizier copying astropy/io/ascii/tests/t/apostrophe.rdb -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/apostrophe.tab -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/bad.txt -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/bars_at_ends.txt -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/cds.dat -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/cds_malformed.dat -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/cds/glob/ReadMe -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t/cds/glob copying astropy/io/ascii/tests/t/cds/glob/lmxbrefs.dat -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t/cds/glob copying astropy/io/ascii/tests/t/cds/multi/ReadMe -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t/cds/multi copying astropy/io/ascii/tests/t/cds/multi/lhs2065.dat -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t/cds/multi copying astropy/io/ascii/tests/t/cds/multi/lp944-20.dat -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t/cds/multi copying astropy/io/ascii/tests/t/cds2.dat -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/commented_header.dat -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/commented_header2.dat -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/continuation.dat -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/daophot.dat -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/daophot2.dat -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/daophot3.dat -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/daophot4.dat -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/sextractor.dat -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/sextractor2.dat -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/sextractor3.dat -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/daophot.dat.gz -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/fill_values.txt -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/html.html -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/html2.html -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/ipac.dat -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/ipac.dat.bz2 -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/ipac.dat.xz -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/latex1.tex -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/latex1.tex.gz -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/latex2.tex -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/latex3.tex -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/nls1_stackinfo.dbout -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/no_data_cds.dat -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/no_data_daophot.dat -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/no_data_sextractor.dat -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/no_data_ipac.dat -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/no_data_with_header.dat -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/no_data_without_header.dat -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/short.rdb -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/short.rdb.bz2 -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/short.rdb.gz -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/short.rdb.xz -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/short.tab -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/simple.txt -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/simple2.txt -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/simple3.txt -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/simple4.txt -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/simple5.txt -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/space_delim_blank_lines.txt -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/space_delim_no_header.dat -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/space_delim_no_names.dat -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/test4.dat -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/test5.dat -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/vots_spec.dat -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/whitespace.dat -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/simple_csv.csv -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/simple_csv_missing.csv -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/fixed_width_2_line.txt -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t copying astropy/io/ascii/tests/t/cds/description/ReadMe -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t/cds/description copying astropy/io/ascii/tests/t/cds/description/table.dat -> build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t/cds/description copying astropy/io/votable/tests/data/names.xml -> build/lib.linux-x86_64-2.7/astropy/io/votable/tests/data copying astropy/io/votable/tests/data/gemini.xml -> build/lib.linux-x86_64-2.7/astropy/io/votable/tests/data copying astropy/io/votable/tests/data/empty_table.xml -> build/lib.linux-x86_64-2.7/astropy/io/votable/tests/data copying astropy/io/votable/tests/data/irsa-nph-m31.xml -> build/lib.linux-x86_64-2.7/astropy/io/votable/tests/data copying astropy/io/votable/tests/data/nonstandard_units.xml -> build/lib.linux-x86_64-2.7/astropy/io/votable/tests/data copying astropy/io/votable/tests/data/no_resource.xml -> build/lib.linux-x86_64-2.7/astropy/io/votable/tests/data copying astropy/io/votable/tests/data/irsa-nph-error.xml -> build/lib.linux-x86_64-2.7/astropy/io/votable/tests/data copying astropy/io/votable/tests/data/custom_datatype.xml -> build/lib.linux-x86_64-2.7/astropy/io/votable/tests/data copying astropy/io/votable/tests/data/regression.xml -> build/lib.linux-x86_64-2.7/astropy/io/votable/tests/data copying astropy/io/votable/tests/data/regression.bin.tabledata.truth.1.3.xml -> build/lib.linux-x86_64-2.7/astropy/io/votable/tests/data copying astropy/io/votable/tests/data/regression.bin.tabledata.truth.1.1.xml -> build/lib.linux-x86_64-2.7/astropy/io/votable/tests/data copying astropy/io/votable/tests/data/too_many_columns.xml.gz -> build/lib.linux-x86_64-2.7/astropy/io/votable/tests/data copying astropy/io/votable/tests/data/tb.fits -> build/lib.linux-x86_64-2.7/astropy/io/votable/tests/data copying astropy/io/votable/tests/data/no_resource.txt -> build/lib.linux-x86_64-2.7/astropy/io/votable/tests/data copying astropy/io/votable/tests/data/validation.txt -> build/lib.linux-x86_64-2.7/astropy/io/votable/tests/data copying astropy/io/votable/validator/urls/cone.broken.dat.gz -> build/lib.linux-x86_64-2.7/astropy/io/votable/validator/urls copying astropy/io/votable/validator/urls/cone.big.dat.gz -> build/lib.linux-x86_64-2.7/astropy/io/votable/validator/urls copying astropy/io/votable/validator/urls/cone.incorrect.dat.gz -> build/lib.linux-x86_64-2.7/astropy/io/votable/validator/urls copying astropy/io/votable/validator/urls/cone.good.dat.gz -> build/lib.linux-x86_64-2.7/astropy/io/votable/validator/urls copying astropy/io/fits/tests/data/test0.fits -> build/lib.linux-x86_64-2.7/astropy/io/fits/tests/data copying astropy/io/fits/tests/data/zerowidth.fits -> build/lib.linux-x86_64-2.7/astropy/io/fits/tests/data copying astropy/io/fits/tests/data/ascii.fits -> build/lib.linux-x86_64-2.7/astropy/io/fits/tests/data copying astropy/io/fits/tests/data/arange.fits -> build/lib.linux-x86_64-2.7/astropy/io/fits/tests/data copying astropy/io/fits/tests/data/memtest.fits -> build/lib.linux-x86_64-2.7/astropy/io/fits/tests/data copying astropy/io/fits/tests/data/fixed-1890.fits -> build/lib.linux-x86_64-2.7/astropy/io/fits/tests/data copying astropy/io/fits/tests/data/comp.fits -> build/lib.linux-x86_64-2.7/astropy/io/fits/tests/data copying astropy/io/fits/tests/data/checksum.fits -> build/lib.linux-x86_64-2.7/astropy/io/fits/tests/data copying astropy/io/fits/tests/data/tb.fits -> build/lib.linux-x86_64-2.7/astropy/io/fits/tests/data copying astropy/io/fits/tests/data/random_groups.fits -> build/lib.linux-x86_64-2.7/astropy/io/fits/tests/data copying astropy/io/fits/tests/data/scale.fits -> build/lib.linux-x86_64-2.7/astropy/io/fits/tests/data copying astropy/io/fits/tests/data/blank.fits -> build/lib.linux-x86_64-2.7/astropy/io/fits/tests/data copying astropy/io/fits/tests/data/o4sp040b0_raw.fits -> build/lib.linux-x86_64-2.7/astropy/io/fits/tests/data copying astropy/io/fits/tests/data/compressed_float_bzero.fits -> build/lib.linux-x86_64-2.7/astropy/io/fits/tests/data copying astropy/io/fits/tests/data/stddata.fits -> build/lib.linux-x86_64-2.7/astropy/io/fits/tests/data copying astropy/io/fits/tests/data/tdim.fits -> build/lib.linux-x86_64-2.7/astropy/io/fits/tests/data copying astropy/io/fits/tests/data/table.fits -> build/lib.linux-x86_64-2.7/astropy/io/fits/tests/data running build_ext running pre_hook from astropy._erfa.setup_package for build_ext command running pre_hook from astropy.modeling.setup_package for build_ext command WARNING: The autogenerated wrappers in astropy.modeling._projections seem to be older than the source templates used to create them. Because this is a release version we will use them anyway, but this might be a sign of some sort of version mismatch or other tampering. Or it might just mean you moved some files around or otherwise accidentally changed timestamps. building 'astropy._compiler' extension x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/python2.7 -c astropy/_compiler.c -o build/temp.linux-x86_64-2.7/astropy/_compiler.o x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-l1RrwO/python2.7-2.7.14=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-2.7/astropy/_compiler.o -o build/lib.linux-x86_64-2.7/astropy/_compiler.so building 'astropy.utils._compiler' extension x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/python2.7 -c astropy/utils/src/compiler.c -o build/temp.linux-x86_64-2.7/astropy/utils/src/compiler.o x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-l1RrwO/python2.7-2.7.14=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-2.7/astropy/utils/src/compiler.o -o build/lib.linux-x86_64-2.7/astropy/utils/_compiler.so building 'astropy.wcs._wcs' extension x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DECHO -DWCSTRIG_MACRO -DASTROPY_WCS_BUILD -D_GNU_SOURCE -DNDEBUG -DHAVE_SINCOS -UDEBUG -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/wcslib -Iastropy/wcs/include -I/usr/include/python2.7 -c astropy/wcs/src/distortion.c -o build/temp.linux-x86_64-2.7/astropy/wcs/src/distortion.o -Wno-strict-prototypes -Wno-unused-function -Wno-unused-value -Wno-uninitialized x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DECHO -DWCSTRIG_MACRO -DASTROPY_WCS_BUILD -D_GNU_SOURCE -DNDEBUG -DHAVE_SINCOS -UDEBUG -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/wcslib -Iastropy/wcs/include -I/usr/include/python2.7 -c astropy/wcs/src/distortion_wrap.c -o build/temp.linux-x86_64-2.7/astropy/wcs/src/distortion_wrap.o -Wno-strict-prototypes -Wno-unused-function -Wno-unused-value -Wno-uninitialized x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DECHO -DWCSTRIG_MACRO -DASTROPY_WCS_BUILD -D_GNU_SOURCE -DNDEBUG -DHAVE_SINCOS -UDEBUG -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/wcslib -Iastropy/wcs/include -I/usr/include/python2.7 -c astropy/wcs/src/docstrings.c -o build/temp.linux-x86_64-2.7/astropy/wcs/src/docstrings.o -Wno-strict-prototypes -Wno-unused-function -Wno-unused-value -Wno-uninitialized x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DECHO -DWCSTRIG_MACRO -DASTROPY_WCS_BUILD -D_GNU_SOURCE -DNDEBUG -DHAVE_SINCOS -UDEBUG -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/wcslib -Iastropy/wcs/include -I/usr/include/python2.7 -c astropy/wcs/src/pipeline.c -o build/temp.linux-x86_64-2.7/astropy/wcs/src/pipeline.o -Wno-strict-prototypes -Wno-unused-function -Wno-unused-value -Wno-uninitialized x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DECHO -DWCSTRIG_MACRO -DASTROPY_WCS_BUILD -D_GNU_SOURCE -DNDEBUG -DHAVE_SINCOS -UDEBUG -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/wcslib -Iastropy/wcs/include -I/usr/include/python2.7 -c astropy/wcs/src/pyutil.c -o build/temp.linux-x86_64-2.7/astropy/wcs/src/pyutil.o -Wno-strict-prototypes -Wno-unused-function -Wno-unused-value -Wno-uninitialized x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DECHO -DWCSTRIG_MACRO -DASTROPY_WCS_BUILD -D_GNU_SOURCE -DNDEBUG -DHAVE_SINCOS -UDEBUG -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/wcslib -Iastropy/wcs/include -I/usr/include/python2.7 -c astropy/wcs/src/astropy_wcs.c -o build/temp.linux-x86_64-2.7/astropy/wcs/src/astropy_wcs.o -Wno-strict-prototypes -Wno-unused-function -Wno-unused-value -Wno-uninitialized x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DECHO -DWCSTRIG_MACRO -DASTROPY_WCS_BUILD -D_GNU_SOURCE -DNDEBUG -DHAVE_SINCOS -UDEBUG -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/wcslib -Iastropy/wcs/include -I/usr/include/python2.7 -c astropy/wcs/src/astropy_wcs_api.c -o build/temp.linux-x86_64-2.7/astropy/wcs/src/astropy_wcs_api.o -Wno-strict-prototypes -Wno-unused-function -Wno-unused-value -Wno-uninitialized x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DECHO -DWCSTRIG_MACRO -DASTROPY_WCS_BUILD -D_GNU_SOURCE -DNDEBUG -DHAVE_SINCOS -UDEBUG -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/wcslib -Iastropy/wcs/include -I/usr/include/python2.7 -c astropy/wcs/src/sip.c -o build/temp.linux-x86_64-2.7/astropy/wcs/src/sip.o -Wno-strict-prototypes -Wno-unused-function -Wno-unused-value -Wno-uninitialized x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DECHO -DWCSTRIG_MACRO -DASTROPY_WCS_BUILD -D_GNU_SOURCE -DNDEBUG -DHAVE_SINCOS -UDEBUG -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/wcslib -Iastropy/wcs/include -I/usr/include/python2.7 -c astropy/wcs/src/sip_wrap.c -o build/temp.linux-x86_64-2.7/astropy/wcs/src/sip_wrap.o -Wno-strict-prototypes -Wno-unused-function -Wno-unused-value -Wno-uninitialized x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DECHO -DWCSTRIG_MACRO -DASTROPY_WCS_BUILD -D_GNU_SOURCE -DNDEBUG -DHAVE_SINCOS -UDEBUG -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/wcslib -Iastropy/wcs/include -I/usr/include/python2.7 -c astropy/wcs/src/str_list_proxy.c -o build/temp.linux-x86_64-2.7/astropy/wcs/src/str_list_proxy.o -Wno-strict-prototypes -Wno-unused-function -Wno-unused-value -Wno-uninitialized x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DECHO -DWCSTRIG_MACRO -DASTROPY_WCS_BUILD -D_GNU_SOURCE -DNDEBUG -DHAVE_SINCOS -UDEBUG -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/wcslib -Iastropy/wcs/include -I/usr/include/python2.7 -c astropy/wcs/src/unit_list_proxy.c -o build/temp.linux-x86_64-2.7/astropy/wcs/src/unit_list_proxy.o -Wno-strict-prototypes -Wno-unused-function -Wno-unused-value -Wno-uninitialized x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DECHO -DWCSTRIG_MACRO -DASTROPY_WCS_BUILD -D_GNU_SOURCE -DNDEBUG -DHAVE_SINCOS -UDEBUG -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/wcslib -Iastropy/wcs/include -I/usr/include/python2.7 -c astropy/wcs/src/util.c -o build/temp.linux-x86_64-2.7/astropy/wcs/src/util.o -Wno-strict-prototypes -Wno-unused-function -Wno-unused-value -Wno-uninitialized x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DECHO -DWCSTRIG_MACRO -DASTROPY_WCS_BUILD -D_GNU_SOURCE -DNDEBUG -DHAVE_SINCOS -UDEBUG -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/wcslib -Iastropy/wcs/include -I/usr/include/python2.7 -c astropy/wcs/src/wcslib_wrap.c -o build/temp.linux-x86_64-2.7/astropy/wcs/src/wcslib_wrap.o -Wno-strict-prototypes -Wno-unused-function -Wno-unused-value -Wno-uninitialized x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DECHO -DWCSTRIG_MACRO -DASTROPY_WCS_BUILD -D_GNU_SOURCE -DNDEBUG -DHAVE_SINCOS -UDEBUG -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/wcslib -Iastropy/wcs/include -I/usr/include/python2.7 -c astropy/wcs/src/wcslib_tabprm_wrap.c -o build/temp.linux-x86_64-2.7/astropy/wcs/src/wcslib_tabprm_wrap.o -Wno-strict-prototypes -Wno-unused-function -Wno-unused-value -Wno-uninitialized x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-l1RrwO/python2.7-2.7.14=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-2.7/astropy/wcs/src/distortion.o build/temp.linux-x86_64-2.7/astropy/wcs/src/distortion_wrap.o build/temp.linux-x86_64-2.7/astropy/wcs/src/docstrings.o build/temp.linux-x86_64-2.7/astropy/wcs/src/pipeline.o build/temp.linux-x86_64-2.7/astropy/wcs/src/pyutil.o build/temp.linux-x86_64-2.7/astropy/wcs/src/astropy_wcs.o build/temp.linux-x86_64-2.7/astropy/wcs/src/astropy_wcs_api.o build/temp.linux-x86_64-2.7/astropy/wcs/src/sip.o build/temp.linux-x86_64-2.7/astropy/wcs/src/sip_wrap.o build/temp.linux-x86_64-2.7/astropy/wcs/src/str_list_proxy.o build/temp.linux-x86_64-2.7/astropy/wcs/src/unit_list_proxy.o build/temp.linux-x86_64-2.7/astropy/wcs/src/util.o build/temp.linux-x86_64-2.7/astropy/wcs/src/wcslib_wrap.o build/temp.linux-x86_64-2.7/astropy/wcs/src/wcslib_tabprm_wrap.o -lwcs -lm -o build/lib.linux-x86_64-2.7/astropy/wcs/_wcs.so building 'astropy._erfa._core' extension x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c astropy/_erfa/core.c -o build/temp.linux-x86_64-2.7/astropy/_erfa/core.o x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-l1RrwO/python2.7-2.7.14=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-2.7/astropy/_erfa/core.o -lerfa -o build/lib.linux-x86_64-2.7/astropy/_erfa/_core.so building 'astropy.table._np_utils' extension x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c astropy/table/_np_utils.c -o build/temp.linux-x86_64-2.7/astropy/table/_np_utils.o -Wp,-w -Wno-unused-function x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-l1RrwO/python2.7-2.7.14=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-2.7/astropy/table/_np_utils.o -o build/lib.linux-x86_64-2.7/astropy/table/_np_utils.so building 'astropy.table._column_mixins' extension x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c astropy/table/_column_mixins.c -o build/temp.linux-x86_64-2.7/astropy/table/_column_mixins.o -Wp,-w -Wno-unused-function x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-l1RrwO/python2.7-2.7.14=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-2.7/astropy/table/_column_mixins.o -o build/lib.linux-x86_64-2.7/astropy/table/_column_mixins.so building 'astropy.modeling._projections' extension x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DECHO -DWCSTRIG_MACRO -DASTROPY_WCS_BUILD -D_GNU_SOURCE -DNDEBUG -DHAVE_SINCOS -UDEBUG -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/wcslib -Iastropy/modeling/src -I/usr/include/python2.7 -c astropy/modeling/src/projections.c -o build/temp.linux-x86_64-2.7/astropy/modeling/src/projections.o -Wno-strict-prototypes -Wno-unused-function -Wno-unused-value -Wno-uninitialized x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-l1RrwO/python2.7-2.7.14=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-2.7/astropy/modeling/src/projections.o -lwcs -lm -o build/lib.linux-x86_64-2.7/astropy/modeling/_projections.so building 'astropy.utils.xml._iterparser' extension x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/python2.7 -c astropy/utils/xml/src/iterparse.c -o build/temp.linux-x86_64-2.7/astropy/utils/xml/src/iterparse.o x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-l1RrwO/python2.7-2.7.14=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-2.7/astropy/utils/xml/src/iterparse.o -lexpat -o build/lib.linux-x86_64-2.7/astropy/utils/xml/_iterparser.so building 'astropy.io.ascii.cparser' extension x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c astropy/io/ascii/cparser.c -o build/temp.linux-x86_64-2.7/astropy/io/ascii/cparser.o -Wp,-w -Wno-unused-function x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c astropy/io/ascii/src/tokenizer.c -o build/temp.linux-x86_64-2.7/astropy/io/ascii/src/tokenizer.o -Wp,-w -Wno-unused-function x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-l1RrwO/python2.7-2.7.14=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-2.7/astropy/io/ascii/cparser.o build/temp.linux-x86_64-2.7/astropy/io/ascii/src/tokenizer.o -o build/lib.linux-x86_64-2.7/astropy/io/ascii/cparser.so building 'astropy.io.votable.tablewriter' extension x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Iastropy/io/votable/src -I/usr/include/python2.7 -c astropy/io/votable/src/tablewriter.c -o build/temp.linux-x86_64-2.7/astropy/io/votable/src/tablewriter.o x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-l1RrwO/python2.7-2.7.14=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-2.7/astropy/io/votable/src/tablewriter.o -o build/lib.linux-x86_64-2.7/astropy/io/votable/tablewriter.so building 'astropy.io.fits.compression' extension x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c astropy/io/fits/src/compressionmodule.c -o build/temp.linux-x86_64-2.7/astropy/io/fits/src/compressionmodule.o x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-l1RrwO/python2.7-2.7.14=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-2.7/astropy/io/fits/src/compressionmodule.o -lcfitsio -lpthread -o build/lib.linux-x86_64-2.7/astropy/io/fits/compression.so building 'astropy.cosmology.scalar_inv_efuncs' extension x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c astropy/cosmology/scalar_inv_efuncs.c -o build/temp.linux-x86_64-2.7/astropy/cosmology/scalar_inv_efuncs.o -Wp,-w -Wno-unused-function x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-l1RrwO/python2.7-2.7.14=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-2.7/astropy/cosmology/scalar_inv_efuncs.o -o build/lib.linux-x86_64-2.7/astropy/cosmology/scalar_inv_efuncs.so building 'astropy.convolution.boundary_none' extension x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c astropy/convolution/boundary_none.c -o build/temp.linux-x86_64-2.7/astropy/convolution/boundary_none.o -Wp,-w -Wno-unused-function x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-l1RrwO/python2.7-2.7.14=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-2.7/astropy/convolution/boundary_none.o -o build/lib.linux-x86_64-2.7/astropy/convolution/boundary_none.so building 'astropy.convolution.boundary_fill' extension x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c astropy/convolution/boundary_fill.c -o build/temp.linux-x86_64-2.7/astropy/convolution/boundary_fill.o -Wp,-w -Wno-unused-function x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-l1RrwO/python2.7-2.7.14=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-2.7/astropy/convolution/boundary_fill.o -o build/lib.linux-x86_64-2.7/astropy/convolution/boundary_fill.so building 'astropy.convolution.boundary_wrap' extension x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c astropy/convolution/boundary_wrap.c -o build/temp.linux-x86_64-2.7/astropy/convolution/boundary_wrap.o -Wp,-w -Wno-unused-function x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-l1RrwO/python2.7-2.7.14=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-2.7/astropy/convolution/boundary_wrap.o -o build/lib.linux-x86_64-2.7/astropy/convolution/boundary_wrap.so building 'astropy.convolution.boundary_extend' extension x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c astropy/convolution/boundary_extend.c -o build/temp.linux-x86_64-2.7/astropy/convolution/boundary_extend.o -Wp,-w -Wno-unused-function x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-l1RrwO/python2.7-2.7.14=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-2.7/astropy/convolution/boundary_extend.o -o build/lib.linux-x86_64-2.7/astropy/convolution/boundary_extend.so building 'astropy.stats.lombscargle.implementations.cython_impl' extension x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c astropy/stats/lombscargle/implementations/cython_impl.c -o build/temp.linux-x86_64-2.7/astropy/stats/lombscargle/implementations/cython_impl.o -Wp,-w -Wno-unused-function x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-l1RrwO/python2.7-2.7.14=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-2.7/astropy/stats/lombscargle/implementations/cython_impl.o -o build/lib.linux-x86_64-2.7/astropy/stats/lombscargle/implementations/cython_impl.so make[1]: Leaving directory '/<>' debian/rules override_dh_auto_test make[1]: Entering directory '/<>' debian/rules:34: warning: overriding recipe for target 'override_dh_auto_build' debian/rules:25: warning: ignoring old recipe for target 'override_dh_auto_build' python2.7 setup.py test -vv --args "-vv --mpl" running test running build running build_py running pre_hook from astropy._erfa.setup_package for build_py command running pre_hook from astropy.modeling.setup_package for build_py command WARNING: The autogenerated wrappers in astropy.modeling._projections seem to be older than the source templates used to create them. Because this is a release version we will use them anyway, but this might be a sign of some sort of version mismatch or other tampering. Or it might just mean you moved some files around or otherwise accidentally changed timestamps. copying astropy/wcs/include/astropy_wcs/wcsconfig.h -> build/lib.linux-x86_64-2.7/astropy/wcs/include/astropy_wcs creating build/lib.linux-x86_64-2.7/astropy/wcs/include/wcslib copying astropy/wcs/include/wcslib/cel.h -> build/lib.linux-x86_64-2.7/astropy/wcs/include/wcslib copying astropy/wcs/include/wcslib/lin.h -> build/lib.linux-x86_64-2.7/astropy/wcs/include/wcslib copying astropy/wcs/include/wcslib/prj.h -> build/lib.linux-x86_64-2.7/astropy/wcs/include/wcslib copying astropy/wcs/include/wcslib/spc.h -> build/lib.linux-x86_64-2.7/astropy/wcs/include/wcslib copying astropy/wcs/include/wcslib/spx.h -> build/lib.linux-x86_64-2.7/astropy/wcs/include/wcslib copying astropy/wcs/include/wcslib/tab.h -> build/lib.linux-x86_64-2.7/astropy/wcs/include/wcslib copying astropy/wcs/include/wcslib/wcs.h -> build/lib.linux-x86_64-2.7/astropy/wcs/include/wcslib copying astropy/wcs/include/wcslib/wcserr.h -> build/lib.linux-x86_64-2.7/astropy/wcs/include/wcslib copying astropy/wcs/include/wcslib/wcsmath.h -> build/lib.linux-x86_64-2.7/astropy/wcs/include/wcslib copying astropy/wcs/include/wcslib/wcsprintf.h -> build/lib.linux-x86_64-2.7/astropy/wcs/include/wcslib running build_ext running pre_hook from astropy._erfa.setup_package for build_ext command running pre_hook from astropy.modeling.setup_package for build_ext command WARNING: The autogenerated wrappers in astropy.modeling._projections seem to be older than the source templates used to create them. Because this is a release version we will use them anyway, but this might be a sign of some sort of version mismatch or other tampering. Or it might just mean you moved some files around or otherwise accidentally changed timestamps. building 'astropy._compiler' extension x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/python2.7 -c astropy/_compiler.c -o build/temp.linux-x86_64-2.7/astropy/_compiler.o x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-l1RrwO/python2.7-2.7.14=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-2.7/astropy/_compiler.o -o build/lib.linux-x86_64-2.7/astropy/_compiler.so Internet access disabled ============================= test session starts ============================== platform linux2 -- Python 2.7.14, pytest-3.2.1, py-1.4.34, pluggy-0.4.0 -- /usr/bin/python2.7 cachedir: .. Running tests with Astropy version 2.0.2. Running tests in lib.linux-x86_64-2.7/astropy docs. Date: 2017-11-03T01:28:39 Platform: Linux-4.4.0-97-generic-x86_64-with-Ubuntu-18.04-bionic Executable: /usr/bin/python2.7 Full Python Version: 2.7.14 (default, Sep 23 2017, 22:06:14) [GCC 7.2.0] encodings: sys: ascii, locale: UTF-8, filesystem: UTF-8, unicode bits: 20 byteorder: little float info: dig: 15, mant_dig: 15 Numpy: 1.13.1 Scipy: 0.19.1 Matplotlib: 2.0.0 h5py: 2.7.1 Pandas: not available Cython: 0.26.1 Using Astropy options: remote_data: none. rootdir: /tmp/astropy-test-vrCxhS, inifile: setup.cfg plugins: mpl-0.7 collecting ... collected 13118 items astropy/_erfa/tests/test_erfa.py::test_erfa_wrapper PASSED astropy/_erfa/tests/test_erfa.py::test_angle_ops PASSED astropy/_erfa/tests/test_erfa.py::test_spherical_cartesian PASSED astropy/_erfa/tests/test_erfa.py::test_errwarn_reporting PASSED astropy/_erfa/tests/test_erfa.py::test_vector_inouts PASSED astropy/_erfa/tests/test_erfa.py::test_matrix_in PASSED astropy/_erfa/tests/test_erfa.py::test_structs PASSED astropy/analytic_functions/tests/test_blackbody.py::test_deprecated_blackbodies PASSED astropy/config/configuration.py::astropy.config.configuration.ConfigNamespace.set_temp PASSED astropy/config/tests/test_configs.py::test_paths PASSED astropy/config/tests/test_configs.py::test_set_temp_config PASSED astropy/config/tests/test_configs.py::test_set_temp_cache PASSED astropy/config/tests/test_configs.py::test_config_file PASSED astropy/config/tests/test_configs.py::test_configitem PASSED astropy/config/tests/test_configs.py::test_configitem_types PASSED astropy/config/tests/test_configs.py::test_configitem_options PASSED astropy/config/tests/test_configs.py::test_config_noastropy_fallback PASSED astropy/config/tests/test_configs.py::test_configitem_setters PASSED astropy/config/tests/test_configs.py::test_empty_config_file PASSED astropy/config/tests/test_configs.py::TestAliasRead::test_alias_read PASSED astropy/config/tests/test_configs.py::test_configitem_unicode PASSED astropy/config/tests/test_configs.py::test_warning_move_to_top_level PASSED astropy/config/tests/test_configs.py::test_no_home PASSED astropy/config/tests/test_configs.py::test_unedited_template PASSED astropy/constants/__init__.py::astropy.constants PASSED astropy/constants/tests/test_constant.py::test_c PASSED astropy/constants/tests/test_constant.py::test_h PASSED astropy/constants/tests/test_constant.py::test_e PASSED astropy/constants/tests/test_constant.py::test_g0 PASSED astropy/constants/tests/test_constant.py::test_b_wien PASSED astropy/constants/tests/test_constant.py::test_unit PASSED astropy/constants/tests/test_constant.py::test_copy PASSED astropy/constants/tests/test_constant.py::test_view PASSED astropy/constants/tests/test_constant.py::test_c PASSED astropy/constants/tests/test_constant.py::test_h PASSED astropy/constants/tests/test_constant.py::test_e PASSED astropy/constants/tests/test_constant.py::test_g0 PASSED astropy/constants/tests/test_constant.py::test_b_wien PASSED astropy/constants/tests/test_constant.py::test_unit PASSED astropy/constants/tests/test_constant.py::test_copy PASSED astropy/constants/tests/test_constant.py::test_view PASSED astropy/constants/tests/test_pickle.py::test_new_constant[0-original0-True] xfail astropy/constants/tests/test_pickle.py::test_new_constant[0-original1-True] xfail astropy/constants/tests/test_pickle.py::test_new_constant[0-original2-True] xfail astropy/constants/tests/test_pickle.py::test_new_constant[1-original0-True] xfail astropy/constants/tests/test_pickle.py::test_new_constant[1-original1-True] xfail astropy/constants/tests/test_pickle.py::test_new_constant[1-original2-True] xfail astropy/constants/tests/test_pickle.py::test_new_constant[-1-original0-True] xfail astropy/constants/tests/test_pickle.py::test_new_constant[-1-original1-True] xfail astropy/constants/tests/test_pickle.py::test_new_constant[-1-original2-True] xfail astropy/constants/tests/test_prior_version.py::test_c PASSED astropy/constants/tests/test_prior_version.py::test_h PASSED astropy/constants/tests/test_prior_version.py::test_e PASSED astropy/constants/tests/test_prior_version.py::test_g0 PASSED astropy/constants/tests/test_prior_version.py::test_b_wien PASSED astropy/constants/tests/test_prior_version.py::test_unit PASSED astropy/constants/tests/test_prior_version.py::test_copy PASSED astropy/constants/tests/test_prior_version.py::test_view PASSED astropy/constants/tests/test_prior_version.py::test_c PASSED astropy/constants/tests/test_prior_version.py::test_h PASSED astropy/constants/tests/test_prior_version.py::test_e PASSED astropy/constants/tests/test_prior_version.py::test_g0 PASSED astropy/constants/tests/test_prior_version.py::test_b_wien PASSED astropy/constants/tests/test_prior_version.py::test_unit PASSED astropy/constants/tests/test_prior_version.py::test_copy PASSED astropy/constants/tests/test_prior_version.py::test_view PASSED astropy/convolution/kernels.py::astropy.convolution.kernels.CustomKernel PASSED astropy/convolution/kernels.py::astropy.convolution.kernels.Model1DKernel PASSED astropy/convolution/kernels.py::astropy.convolution.kernels.Model2DKernel PASSED astropy/convolution/tests/test_convolve.py::TestConvolve1D::test_list PASSED astropy/convolution/tests/test_convolve.py::TestConvolve1D::test_input_unmodified PASSED astropy/convolution/tests/test_convolve.py::TestConvolve1D::test_dtype[>f4->f4] PASSED astropy/convolution/tests/test_convolve.py::TestConvolve1D::test_dtype[>f4-f4->f8] PASSED astropy/convolution/tests/test_convolve.py::TestConvolve1D::test_dtype[>f4-f4] PASSED astropy/convolution/tests/test_convolve.py::TestConvolve1D::test_dtype[f8] PASSED astropy/convolution/tests/test_convolve.py::TestConvolve1D::test_dtype[f8->f4] PASSED astropy/convolution/tests/test_convolve.py::TestConvolve1D::test_dtype[>f8-f8->f8] PASSED astropy/convolution/tests/test_convolve.py::TestConvolve1D::test_dtype[>f8-f4] PASSED astropy/convolution/tests/test_convolve.py::TestConvolve1D::test_dtype[f8] PASSED astropy/convolution/tests/test_convolve.py::TestConvolve1D::test_dtype[f4->f4] PASSED astropy/convolution/tests/test_convolve.py::TestConvolve2D::test_dtype[>f4-f4->f8] PASSED astropy/convolution/tests/test_convolve.py::TestConvolve2D::test_dtype[>f4-f4] PASSED astropy/convolution/tests/test_convolve.py::TestConvolve2D::test_dtype[f8] PASSED astropy/convolution/tests/test_convolve.py::TestConvolve2D::test_dtype[f8->f4] PASSED astropy/convolution/tests/test_convolve.py::TestConvolve2D::test_dtype[>f8-f8->f8] PASSED astropy/convolution/tests/test_convolve.py::TestConvolve2D::test_dtype[>f8-f4] PASSED astropy/convolution/tests/test_convolve.py::TestConvolve2D::test_dtype[f8] PASSED astropy/convolution/tests/test_convolve.py::TestConvolve2D::test_dtype[f4->f4] PASSED astropy/convolution/tests/test_convolve.py::TestConvolve3D::test_dtype[>f4-f4->f8] PASSED astropy/convolution/tests/test_convolve.py::TestConvolve3D::test_dtype[>f4-f4] PASSED astropy/convolution/tests/test_convolve.py::TestConvolve3D::test_dtype[f8] PASSED astropy/convolution/tests/test_convolve.py::TestConvolve3D::test_dtype[f8->f4] PASSED astropy/convolution/tests/test_convolve.py::TestConvolve3D::test_dtype[>f8-f8->f8] PASSED astropy/convolution/tests/test_convolve.py::TestConvolve3D::test_dtype[>f8-f4] PASSED astropy/convolution/tests/test_convolve.py::TestConvolve3D::test_dtype[f8] PASSED astropy/convolution/tests/test_convolve.py::TestConvolve3D::test_dtype[] PASSED astropy/io/fits/tests/test_image.py::TestCompressedImage::test_comp_image[data5-GZIP_1--0.01->] PASSED astropy/io/fits/tests/test_image.py::TestCompressedImage::test_comp_image[data6-GZIP_2--0.01->] PASSED astropy/io/fits/tests/test_image.py::TestCompressedImage::test_comp_image[data7-HCOMPRESS_1-16->] PASSED astropy/io/fits/tests/test_image.py::TestCompressedImage::test_comp_image_quantize_level PASSED astropy/io/fits/tests/test_image.py::TestCompressedImage::test_subtractive_dither_seed PASSED astropy/io/fits/tests/test_image.py::TestCompressedImage::test_disable_image_compression PASSED astropy/io/fits/tests/test_image.py::TestCompressedImage::test_open_comp_image_in_update_mode PASSED astropy/io/fits/tests/test_image.py::TestCompressedImage::test_open_scaled_in_update_mode_compressed PASSED astropy/io/fits/tests/test_image.py::TestCompressedImage::test_write_comp_hdu_direct_from_existing PASSED astropy/io/fits/tests/test_image.py::TestCompressedImage::test_rewriting_large_scaled_image_compressed PASSED astropy/io/fits/tests/test_image.py::TestCompressedImage::test_scale_back_compressed PASSED astropy/io/fits/tests/test_image.py::TestCompressedImage::test_lossless_gzip_compression PASSED astropy/io/fits/tests/test_image.py::TestCompressedImage::test_compression_column_tforms PASSED astropy/io/fits/tests/test_image.py::TestCompressedImage::test_compression_update_header PASSED astropy/io/fits/tests/test_image.py::TestCompressedImage::test_compression_update_header_with_reserved PASSED astropy/io/fits/tests/test_image.py::TestCompressedImage::test_compression_header_append PASSED astropy/io/fits/tests/test_image.py::TestCompressedImage::test_compression_header_append2 PASSED astropy/io/fits/tests/test_image.py::TestCompressedImage::test_compression_header_insert PASSED astropy/io/fits/tests/test_image.py::TestCompressedImage::test_compression_header_set_before_after PASSED astropy/io/fits/tests/test_image.py::TestCompressedImage::test_compression_header_append_commentary PASSED astropy/io/fits/tests/test_image.py::TestCompressedImage::test_compression_with_gzip_column PASSED astropy/io/fits/tests/test_image.py::TestCompressedImage::test_duplicate_compression_header_keywords PASSED astropy/io/fits/tests/test_image.py::TestCompressedImage::test_scale_bzero_with_compressed_int_data PASSED astropy/io/fits/tests/test_image.py::TestCompressedImage::test_scale_back_compressed_uint_assignment PASSED astropy/io/fits/tests/test_image.py::TestCompressedImage::test_compressed_header_missing_znaxis PASSED astropy/io/fits/tests/test_image.py::TestCompressedImage::test_compressed_scaled_float[BSCALE-uint8-float32] PASSED astropy/io/fits/tests/test_image.py::TestCompressedImage::test_compressed_scaled_float[BSCALE-int16-float32] PASSED astropy/io/fits/tests/test_image.py::TestCompressedImage::test_compressed_scaled_float[BSCALE-int32-float64] PASSED astropy/io/fits/tests/test_image.py::TestCompressedImage::test_compressed_scaled_float[BZERO-uint8-float32] PASSED astropy/io/fits/tests/test_image.py::TestCompressedImage::test_compressed_scaled_float[BZERO-int16-float32] PASSED astropy/io/fits/tests/test_image.py::TestCompressedImage::test_compressed_scaled_float[BZERO-int32-float64] PASSED astropy/io/fits/tests/test_image.py::TestCompressedImage::test_comp_image_hcompression_1_invalid_data <- lib.linux-x86_64-2.7/astropy/tests/helper.py PASSED astropy/io/fits/tests/test_image.py::TestCompressedImage::test_comp_image_hcompress_image_stack <- lib.linux-x86_64-2.7/astropy/tests/helper.py PASSED astropy/io/fits/tests/test_image.py::test_comphdu_bscale PASSED astropy/io/fits/tests/test_image.py::test_scale_implicit_casting PASSED astropy/io/fits/tests/test_image.py::test_bzero_implicit_casting_compressed PASSED astropy/io/fits/tests/test_image.py::test_bzero_mishandled_info PASSED astropy/io/fits/tests/test_image.py::test_image_write_readonly PASSED astropy/io/fits/tests/test_nonstandard.py::TestNonstandardHdus::test_create_fitshdu PASSED astropy/io/fits/tests/test_nonstandard.py::TestNonstandardHdus::test_create_fitshdu_with_compression PASSED astropy/io/fits/tests/test_nonstandard.py::TestNonstandardHdus::test_create_fitshdu_from_filename PASSED astropy/io/fits/tests/test_structured.py::TestStructured::test_structured PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_constructor_copies_header PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_open PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_binary_table PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_ascii_table PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_endianness PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_column_endianness PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_recarray_to_bintablehdu PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_numpy_ndarray_to_bintablehdu PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_numpy_ndarray_to_bintablehdu_with_unicode PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_new_table_from_recarray PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_new_fitsrec PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_appending_a_column PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_adding_a_column PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_merge_tables PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_modify_column_attributes PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_mask_array PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_slice_a_row PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_fits_record_len PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_add_data_by_rows PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_assign_multiple_rows_to_table PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_verify_data_references PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_new_table_with_ndarray PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_new_table_with_fits_rec PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_bin_table_hdu_constructor PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_constructor_name_arg PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_unicode_colname PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_bin_table_with_logical_array PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_fits_rec_column_access PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_table_with_zero_width_column PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_string_column_padding PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_multi_dimensional_columns PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_bin_table_init_from_string_array_column PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_columns_with_truncating_tdim PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_string_array_round_trip PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_new_table_with_nd_column PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_mismatched_tform_and_tdim PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_tdim_of_size_one PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_slicing PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_array_slicing PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_array_broadcasting PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_array_slicing_readonly PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_dump_load_round_trip PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_dump_load_array_colums PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_load_guess_format PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_attribute_field_shadowing PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_table_from_bool_fields PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_table_from_bool_fields2 PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_bool_column_update PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_missing_tnull PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_blank_field_zero PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_column_array_type_mismatch PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_table_none PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_unncessary_table_load PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_table_from_columns_of_other_table PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_bintable_to_asciitable PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_pickle PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_zero_length_table PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_dim_column_byte_order_mismatch PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_fits_rec_from_existing PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_update_string_column_inplace PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_reference_leak SKIPPED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_dump_clobber_vs_overwrite PASSED astropy/io/fits/tests/test_table.py::TestVLATables::test_variable_length_columns PASSED astropy/io/fits/tests/test_table.py::TestVLATables::test_extend_variable_length_array PASSED astropy/io/fits/tests/test_table.py::TestVLATables::test_variable_length_table_format_pd_from_object_array PASSED astropy/io/fits/tests/test_table.py::TestVLATables::test_variable_length_table_format_pd_from_list PASSED astropy/io/fits/tests/test_table.py::TestVLATables::test_variable_length_table_format_pa_from_object_array PASSED astropy/io/fits/tests/test_table.py::TestVLATables::test_variable_length_table_format_pa_from_list PASSED astropy/io/fits/tests/test_table.py::TestVLATables::test_getdata_vla PASSED astropy/io/fits/tests/test_table.py::TestVLATables::test_copy_vla PASSED astropy/io/fits/tests/test_table.py::TestColumnFunctions::test_column_format_interpretation PASSED astropy/io/fits/tests/test_table.py::TestColumnFunctions::test_zero_precision_float_column PASSED astropy/io/fits/tests/test_table.py::TestColumnFunctions::test_column_array_type_mismatch PASSED astropy/io/fits/tests/test_table.py::TestColumnFunctions::test_new_coldefs_with_invalid_seqence PASSED astropy/io/fits/tests/test_table.py::TestColumnFunctions::test_pickle PASSED astropy/io/fits/tests/test_table.py::TestColumnFunctions::test_column_lookup_by_name PASSED astropy/io/fits/tests/test_table.py::TestColumnFunctions::test_column_attribute_change_after_removal PASSED astropy/io/fits/tests/test_table.py::TestColumnFunctions::test_x_column_deepcopy PASSED astropy/io/fits/tests/test_table.py::TestColumnFunctions::test_p_column_deepcopy PASSED astropy/io/fits/tests/test_table.py::test_regression_5383 PASSED astropy/io/fits/tests/test_table.py::test_table_to_hdu PASSED astropy/io/fits/tests/test_uint.py::TestUintFunctions::test_uint[u2-False] PASSED astropy/io/fits/tests/test_uint.py::TestUintFunctions::test_uint[u4-False] PASSED astropy/io/fits/tests/test_uint.py::TestUintFunctions::test_uint[u8-False] PASSED astropy/io/fits/tests/test_uint.py::TestUintFunctions::test_uint[u2-True] PASSED astropy/io/fits/tests/test_uint.py::TestUintFunctions::test_uint[u4-True] PASSED astropy/io/fits/tests/test_uint.py::TestUintFunctions::test_uint_columns[u2] PASSED astropy/io/fits/tests/test_uint.py::TestUintFunctions::test_uint_columns[u4] PASSED astropy/io/fits/tests/test_uint.py::TestUintFunctions::test_uint_columns[u8] PASSED astropy/io/fits/tests/test_util.py::TestUtils::test_ignore_sigint PASSED astropy/io/fits/tests/test_util.py::TestUtils::test_realign_dtype PASSED astropy/io/fits/tests/test_util.py::TestUtilMode::test_mode_strings PASSED astropy/io/fits/tests/test_util.py::TestUtilMode::test_mode_pil_image SKIPPED astropy/io/fits/tests/test_util.py::TestUtilMode::test_mode_gzip PASSED astropy/io/fits/tests/test_util.py::TestUtilMode::test_mode_normal_buffering PASSED astropy/io/fits/tests/test_util.py::TestUtilMode::test_mode_normal_no_buffering PASSED astropy/io/fits/tests/test_util.py::TestUtilMode::test_mode_normalization PASSED astropy/io/misc/yaml.py::astropy.io.misc.yaml PASSED astropy/io/misc/tests/test_hdf5.py::test_write_nopath PASSED astropy/io/misc/tests/test_hdf5.py::test_read_notable_nopath PASSED astropy/io/misc/tests/test_hdf5.py::test_read_nopath PASSED astropy/io/misc/tests/test_hdf5.py::test_write_invalid_path PASSED astropy/io/misc/tests/test_hdf5.py::test_read_invalid_path PASSED astropy/io/misc/tests/test_hdf5.py::test_read_missing_group PASSED astropy/io/misc/tests/test_hdf5.py::test_read_missing_table PASSED astropy/io/misc/tests/test_hdf5.py::test_read_missing_group_fileobj PASSED astropy/io/misc/tests/test_hdf5.py::test_read_write_simple PASSED astropy/io/misc/tests/test_hdf5.py::test_read_write_existing_table PASSED astropy/io/misc/tests/test_hdf5.py::test_read_write_memory PASSED astropy/io/misc/tests/test_hdf5.py::test_read_write_existing PASSED astropy/io/misc/tests/test_hdf5.py::test_read_write_existing_overwrite PASSED astropy/io/misc/tests/test_hdf5.py::test_read_write_existing_append PASSED astropy/io/misc/tests/test_hdf5.py::test_read_write_existing_append_groups PASSED astropy/io/misc/tests/test_hdf5.py::test_read_write_existing_append_overwrite PASSED astropy/io/misc/tests/test_hdf5.py::test_read_fileobj PASSED astropy/io/misc/tests/test_hdf5.py::test_read_filobj_path PASSED astropy/io/misc/tests/test_hdf5.py::test_read_filobj_group_path PASSED astropy/io/misc/tests/test_hdf5.py::test_read_wrong_fileobj PASSED astropy/io/misc/tests/test_hdf5.py::test_write_fileobj PASSED astropy/io/misc/tests/test_hdf5.py::test_write_filobj_group PASSED astropy/io/misc/tests/test_hdf5.py::test_write_wrong_type PASSED astropy/io/misc/tests/test_hdf5.py::test_preserve_single_dtypes[uint8] PASSED astropy/io/misc/tests/test_hdf5.py::test_preserve_single_dtypes[uint16] PASSED astropy/io/misc/tests/test_hdf5.py::test_preserve_single_dtypes[uint32] PASSED astropy/io/misc/tests/test_hdf5.py::test_preserve_single_dtypes[uint64] PASSED astropy/io/misc/tests/test_hdf5.py::test_preserve_single_dtypes[int8] PASSED astropy/io/misc/tests/test_hdf5.py::test_preserve_single_dtypes[int16] PASSED astropy/io/misc/tests/test_hdf5.py::test_preserve_single_dtypes[int32] PASSED astropy/io/misc/tests/test_hdf5.py::test_preserve_single_dtypes[int64] PASSED astropy/io/misc/tests/test_hdf5.py::test_preserve_single_dtypes[float32] PASSED astropy/io/misc/tests/test_hdf5.py::test_preserve_single_dtypes[float64] PASSED astropy/io/misc/tests/test_hdf5.py::test_preserve_single_dtypes[bool] PASSED astropy/io/misc/tests/test_hdf5.py::test_preserve_single_dtypes[|S3] PASSED astropy/io/misc/tests/test_hdf5.py::test_preserve_all_dtypes PASSED astropy/io/misc/tests/test_hdf5.py::test_preserve_meta PASSED astropy/io/misc/tests/test_hdf5.py::test_preserve_serialized PASSED astropy/io/misc/tests/test_hdf5.py::test_metadata_too_large PASSED astropy/io/misc/tests/test_hdf5.py::test_skip_meta PASSED astropy/io/misc/tests/test_hdf5.py::test_read_h5py_objects PASSED astropy/io/misc/tests/test_pickle_helpers.py::test_fnpickling_simple PASSED astropy/io/misc/tests/test_pickle_helpers.py::test_fnpickling_class PASSED astropy/io/misc/tests/test_pickle_helpers.py::test_fnpickling_protocol PASSED astropy/io/misc/tests/test_pickle_helpers.py::test_fnpickling_many PASSED astropy/io/misc/tests/test_yaml.py::test_numpy_types[True] PASSED astropy/io/misc/tests/test_yaml.py::test_numpy_types[c1] PASSED astropy/io/misc/tests/test_yaml.py::test_numpy_types[c2] PASSED astropy/io/misc/tests/test_yaml.py::test_numpy_types[c3] PASSED astropy/io/misc/tests/test_yaml.py::test_numpy_types[3] PASSED astropy/io/misc/tests/test_yaml.py::test_numpy_types[9223372036854775807] PASSED astropy/io/misc/tests/test_yaml.py::test_numpy_types[2.0] PASSED astropy/io/misc/tests/test_yaml.py::test_numpy_types[0.0] PASSED astropy/io/misc/tests/test_yaml.py::test_numpy_types[c8] PASSED astropy/io/misc/tests/test_yaml.py::test_numpy_types[c9] PASSED astropy/io/misc/tests/test_yaml.py::test_numpy_types[c10] PASSED astropy/io/misc/tests/test_yaml.py::test_numpy_types[c11] PASSED astropy/io/misc/tests/test_yaml.py::test_unit[c0] PASSED astropy/io/misc/tests/test_yaml.py::test_unit[c1] PASSED astropy/io/misc/tests/test_yaml.py::test_unit[c2] PASSED astropy/io/misc/tests/test_yaml.py::test_unit[c3] PASSED astropy/io/misc/tests/test_yaml.py::test_ndarray_subclasses[c0] PASSED astropy/io/misc/tests/test_yaml.py::test_ndarray_subclasses[c1] PASSED astropy/io/misc/tests/test_yaml.py::test_ndarray_subclasses[c2] PASSED astropy/io/misc/tests/test_yaml.py::test_ndarray_subclasses[c3] PASSED astropy/io/misc/tests/test_yaml.py::test_ndarray_subclasses[c4] PASSED astropy/io/misc/tests/test_yaml.py::test_ndarray_subclasses[c5] PASSED astropy/io/misc/tests/test_yaml.py::test_ndarray_subclasses[c6] PASSED astropy/io/misc/tests/test_yaml.py::test_skycoord[fk4] PASSED astropy/io/misc/tests/test_yaml.py::test_skycoord[altaz] PASSED astropy/io/misc/tests/test_yaml.py::test_time PASSED astropy/io/misc/tests/test_yaml.py::test_timedelta PASSED astropy/io/misc/tests/test_yaml.py::test_serialized_column PASSED astropy/io/misc/tests/test_yaml.py::test_load_all PASSED astropy/io/misc/tests/test_yaml.py::test_ecsv_astropy_objects_in_meta PASSED astropy/io/tests/test_registry.py::test_get_reader_invalid PASSED astropy/io/tests/test_registry.py::test_get_writer_invalid PASSED astropy/io/tests/test_registry.py::test_register_reader PASSED astropy/io/tests/test_registry.py::test_register_writer PASSED astropy/io/tests/test_registry.py::test_register_identifier PASSED astropy/io/tests/test_registry.py::test_register_reader_invalid PASSED astropy/io/tests/test_registry.py::test_register_writer_invalid PASSED astropy/io/tests/test_registry.py::test_register_identifier_invalid PASSED astropy/io/tests/test_registry.py::test_unregister_reader_invalid PASSED astropy/io/tests/test_registry.py::test_unregister_writer_invalid PASSED astropy/io/tests/test_registry.py::test_unregister_identifier_invalid PASSED astropy/io/tests/test_registry.py::test_register_reader_force PASSED astropy/io/tests/test_registry.py::test_register_writer_force PASSED astropy/io/tests/test_registry.py::test_register_identifier_force PASSED astropy/io/tests/test_registry.py::test_read_noformat PASSED astropy/io/tests/test_registry.py::test_write_noformat PASSED astropy/io/tests/test_registry.py::test_read_noformat_arbitrary PASSED astropy/io/tests/test_registry.py::test_read_noformat_arbitrary_file PASSED astropy/io/tests/test_registry.py::test_write_noformat_arbitrary PASSED astropy/io/tests/test_registry.py::test_write_noformat_arbitrary_file PASSED astropy/io/tests/test_registry.py::test_read_toomanyformats PASSED astropy/io/tests/test_registry.py::test_write_toomanyformats PASSED astropy/io/tests/test_registry.py::test_read_format_noreader PASSED astropy/io/tests/test_registry.py::test_write_format_nowriter PASSED astropy/io/tests/test_registry.py::test_read_identifier PASSED astropy/io/tests/test_registry.py::test_write_identifier PASSED astropy/io/tests/test_registry.py::test_identifier_origin PASSED astropy/io/tests/test_registry.py::test_read_valid_return PASSED astropy/io/tests/test_registry.py::test_read_invalid_return PASSED astropy/io/tests/test_registry.py::test_non_existing_unknown_ext PASSED astropy/io/tests/test_registry.py::test_read_basic_table PASSED astropy/io/tests/test_registry.py::test_register_readers_with_same_name_on_different_classes PASSED astropy/io/tests/test_registry.py::TestSubclass::test_read_table_subclass PASSED astropy/io/tests/test_registry.py::TestSubclass::test_write_table_subclass PASSED astropy/io/tests/test_registry.py::test_get_reader_invalid PASSED astropy/io/tests/test_registry.py::test_get_writer_invalid PASSED astropy/io/tests/test_registry.py::test_register_reader PASSED astropy/io/tests/test_registry.py::test_register_writer PASSED astropy/io/tests/test_registry.py::test_register_identifier PASSED astropy/io/tests/test_registry.py::test_register_reader_invalid PASSED astropy/io/tests/test_registry.py::test_register_writer_invalid PASSED astropy/io/tests/test_registry.py::test_register_identifier_invalid PASSED astropy/io/tests/test_registry.py::test_unregister_reader_invalid PASSED astropy/io/tests/test_registry.py::test_unregister_writer_invalid PASSED astropy/io/tests/test_registry.py::test_unregister_identifier_invalid PASSED astropy/io/tests/test_registry.py::test_register_reader_force PASSED astropy/io/tests/test_registry.py::test_register_writer_force PASSED astropy/io/tests/test_registry.py::test_register_identifier_force PASSED astropy/io/tests/test_registry.py::test_read_noformat PASSED astropy/io/tests/test_registry.py::test_write_noformat PASSED astropy/io/tests/test_registry.py::test_read_noformat_arbitrary PASSED astropy/io/tests/test_registry.py::test_read_noformat_arbitrary_file PASSED astropy/io/tests/test_registry.py::test_write_noformat_arbitrary PASSED astropy/io/tests/test_registry.py::test_write_noformat_arbitrary_file PASSED astropy/io/tests/test_registry.py::test_read_toomanyformats PASSED astropy/io/tests/test_registry.py::test_write_toomanyformats PASSED astropy/io/tests/test_registry.py::test_read_format_noreader PASSED astropy/io/tests/test_registry.py::test_write_format_nowriter PASSED astropy/io/tests/test_registry.py::test_read_identifier PASSED astropy/io/tests/test_registry.py::test_write_identifier PASSED astropy/io/tests/test_registry.py::test_identifier_origin PASSED astropy/io/tests/test_registry.py::test_read_valid_return PASSED astropy/io/tests/test_registry.py::test_read_invalid_return PASSED astropy/io/tests/test_registry.py::test_non_existing_unknown_ext PASSED astropy/io/tests/test_registry.py::test_read_basic_table PASSED astropy/io/tests/test_registry.py::test_register_readers_with_same_name_on_different_classes PASSED astropy/io/tests/test_registry.py::TestSubclass::test_read_table_subclass PASSED astropy/io/tests/test_registry.py::TestSubclass::test_write_table_subclass PASSED astropy/io/votable/tests/converter_test.py::test_oversize_char PASSED astropy/io/votable/tests/converter_test.py::test_char_mask PASSED astropy/io/votable/tests/converter_test.py::test_oversize_unicode PASSED astropy/io/votable/tests/converter_test.py::test_unicode_mask PASSED astropy/io/votable/tests/converter_test.py::test_float_mask_permissive PASSED astropy/io/votable/tests/converter_test.py::test_complex_array_vararray2 PASSED astropy/io/votable/tests/converter_test.py::test_complex_array_vararray3 PASSED astropy/io/votable/tests/converter_test.py::test_complex_vararray PASSED astropy/io/votable/tests/converter_test.py::test_bit_mask PASSED astropy/io/votable/tests/converter_test.py::test_boolean_array PASSED astropy/io/votable/tests/converter_test.py::test_precision PASSED astropy/io/votable/tests/converter_test.py::test_float_default_precision PASSED astropy/io/votable/tests/converter_test.py::test_vararray PASSED astropy/io/votable/tests/converter_test.py::test_gemini_v1_2 PASSED astropy/io/votable/tests/converter_test.py::test_invalid_arraysize <- lib.linux-x86_64-2.7/astropy/tests/helper.py PASSED astropy/io/votable/tests/converter_test.py::test_wrong_number_of_elements <- lib.linux-x86_64-2.7/astropy/tests/helper.py PASSED astropy/io/votable/tests/converter_test.py::test_invalid_type <- lib.linux-x86_64-2.7/astropy/tests/helper.py PASSED astropy/io/votable/tests/converter_test.py::test_integer_overflow <- lib.linux-x86_64-2.7/astropy/tests/helper.py PASSED astropy/io/votable/tests/converter_test.py::test_boolean <- lib.linux-x86_64-2.7/astropy/tests/helper.py PASSED astropy/io/votable/tests/converter_test.py::test_complex_array_vararray <- lib.linux-x86_64-2.7/astropy/tests/helper.py PASSED astropy/io/votable/tests/converter_test.py::test_float_mask <- lib.linux-x86_64-2.7/astropy/tests/helper.py PASSED astropy/io/votable/tests/converter_test.py::test_complex <- lib.linux-x86_64-2.7/astropy/tests/helper.py PASSED astropy/io/votable/tests/converter_test.py::test_bit <- lib.linux-x86_64-2.7/astropy/tests/helper.py PASSED astropy/io/votable/tests/converter_test.py::test_oversize_char PASSED astropy/io/votable/tests/converter_test.py::test_char_mask PASSED astropy/io/votable/tests/converter_test.py::test_oversize_unicode PASSED astropy/io/votable/tests/converter_test.py::test_unicode_mask PASSED astropy/io/votable/tests/converter_test.py::test_float_mask_permissive PASSED astropy/io/votable/tests/converter_test.py::test_complex_array_vararray2 PASSED astropy/io/votable/tests/converter_test.py::test_complex_array_vararray3 PASSED astropy/io/votable/tests/converter_test.py::test_complex_vararray PASSED astropy/io/votable/tests/converter_test.py::test_bit_mask PASSED astropy/io/votable/tests/converter_test.py::test_boolean_array PASSED astropy/io/votable/tests/converter_test.py::test_precision PASSED astropy/io/votable/tests/converter_test.py::test_float_default_precision PASSED astropy/io/votable/tests/converter_test.py::test_vararray PASSED astropy/io/votable/tests/converter_test.py::test_gemini_v1_2 PASSED astropy/io/votable/tests/converter_test.py::test_invalid_arraysize <- lib.linux-x86_64-2.7/astropy/tests/helper.py PASSED astropy/io/votable/tests/converter_test.py::test_wrong_number_of_elements <- lib.linux-x86_64-2.7/astropy/tests/helper.py PASSED astropy/io/votable/tests/converter_test.py::test_invalid_type <- lib.linux-x86_64-2.7/astropy/tests/helper.py PASSED astropy/io/votable/tests/converter_test.py::test_integer_overflow <- lib.linux-x86_64-2.7/astropy/tests/helper.py PASSED astropy/io/votable/tests/converter_test.py::test_boolean <- lib.linux-x86_64-2.7/astropy/tests/helper.py PASSED astropy/io/votable/tests/converter_test.py::test_complex_array_vararray <- lib.linux-x86_64-2.7/astropy/tests/helper.py PASSED astropy/io/votable/tests/converter_test.py::test_float_mask <- lib.linux-x86_64-2.7/astropy/tests/helper.py PASSED astropy/io/votable/tests/converter_test.py::test_complex <- lib.linux-x86_64-2.7/astropy/tests/helper.py PASSED astropy/io/votable/tests/converter_test.py::test_bit <- lib.linux-x86_64-2.7/astropy/tests/helper.py PASSED astropy/io/votable/tests/exception_test.py::test_reraise PASSED astropy/io/votable/tests/exception_test.py::test_parse_vowarning PASSED astropy/io/votable/tests/table_test.py::test_table PASSED astropy/io/votable/tests/table_test.py::test_read_through_table_interface PASSED astropy/io/votable/tests/table_test.py::test_read_through_table_interface2 PASSED astropy/io/votable/tests/table_test.py::test_names_over_ids PASSED astropy/io/votable/tests/table_test.py::test_table_read_with_unnamed_tables PASSED astropy/io/votable/tests/table_test.py::test_votable_path_object SKIPPED astropy/io/votable/tests/table_test.py::test_from_table_without_mask PASSED astropy/io/votable/tests/table_test.py::test_write_with_format PASSED astropy/io/votable/tests/table_test.py::test_empty_table PASSED astropy/io/votable/tests/table_test.py::test_table PASSED astropy/io/votable/tests/table_test.py::test_read_through_table_interface PASSED astropy/io/votable/tests/table_test.py::test_read_through_table_interface2 PASSED astropy/io/votable/tests/table_test.py::test_names_over_ids PASSED astropy/io/votable/tests/table_test.py::test_table_read_with_unnamed_tables PASSED astropy/io/votable/tests/table_test.py::test_votable_path_object SKIPPED astropy/io/votable/tests/table_test.py::test_from_table_without_mask PASSED astropy/io/votable/tests/table_test.py::test_write_with_format PASSED astropy/io/votable/tests/table_test.py::test_empty_table PASSED astropy/io/votable/tests/tree_test.py::test_make_Fields PASSED astropy/io/votable/tests/tree_test.py::test_check_astroyear_fail <- lib.linux-x86_64-2.7/astropy/tests/helper.py PASSED astropy/io/votable/tests/tree_test.py::test_string_fail <- lib.linux-x86_64-2.7/astropy/tests/helper.py PASSED astropy/io/votable/tests/ucd_test.py::test_none PASSED astropy/io/votable/tests/ucd_test.py::test_check PASSED astropy/io/votable/tests/ucd_test.py::test_invalid_namespace <- lib.linux-x86_64-2.7/astropy/tests/helper.py PASSED astropy/io/votable/tests/ucd_test.py::test_too_many_colons <- lib.linux-x86_64-2.7/astropy/tests/helper.py PASSED astropy/io/votable/tests/ucd_test.py::test_invalid_word <- lib.linux-x86_64-2.7/astropy/tests/helper.py PASSED astropy/io/votable/tests/ucd_test.py::test_none PASSED astropy/io/votable/tests/ucd_test.py::test_check PASSED astropy/io/votable/tests/ucd_test.py::test_invalid_namespace <- lib.linux-x86_64-2.7/astropy/tests/helper.py PASSED astropy/io/votable/tests/ucd_test.py::test_too_many_colons <- lib.linux-x86_64-2.7/astropy/tests/helper.py PASSED astropy/io/votable/tests/ucd_test.py::test_invalid_word <- lib.linux-x86_64-2.7/astropy/tests/helper.py PASSED astropy/io/votable/tests/util_test.py::test_range_list PASSED astropy/io/votable/tests/util_test.py::test_range_list2 PASSED astropy/io/votable/tests/util_test.py::test_range_list3 PASSED astropy/io/votable/tests/util_test.py::test_range_list4 PASSED astropy/io/votable/tests/util_test.py::test_range_list7 PASSED astropy/io/votable/tests/util_test.py::test_range_list8 PASSED astropy/io/votable/tests/util_test.py::test_range_list9 PASSED astropy/io/votable/tests/util_test.py::test_range_list9a <- lib.linux-x86_64-2.7/astropy/tests/helper.py PASSED astropy/io/votable/tests/util_test.py::test_range_list4a <- lib.linux-x86_64-2.7/astropy/tests/helper.py PASSED astropy/io/votable/tests/util_test.py::test_range_list5 <- lib.linux-x86_64-2.7/astropy/tests/helper.py PASSED astropy/io/votable/tests/util_test.py::test_range_list6 <- lib.linux-x86_64-2.7/astropy/tests/helper.py PASSED astropy/io/votable/tests/util_test.py::test_range_list PASSED astropy/io/votable/tests/util_test.py::test_range_list2 PASSED astropy/io/votable/tests/util_test.py::test_range_list3 PASSED astropy/io/votable/tests/util_test.py::test_range_list4 PASSED astropy/io/votable/tests/util_test.py::test_range_list7 PASSED astropy/io/votable/tests/util_test.py::test_range_list8 PASSED astropy/io/votable/tests/util_test.py::test_range_list9 PASSED astropy/io/votable/tests/util_test.py::test_range_list9a <- lib.linux-x86_64-2.7/astropy/tests/helper.py PASSED astropy/io/votable/tests/util_test.py::test_range_list4a <- lib.linux-x86_64-2.7/astropy/tests/helper.py PASSED astropy/io/votable/tests/util_test.py::test_range_list5 <- lib.linux-x86_64-2.7/astropy/tests/helper.py PASSED astropy/io/votable/tests/util_test.py::test_range_list6 <- lib.linux-x86_64-2.7/astropy/tests/helper.py PASSED astropy/io/votable/tests/vo_test.py::test_parse_single_table PASSED astropy/io/votable/tests/vo_test.py::test_parse_single_table2 PASSED astropy/io/votable/tests/vo_test.py::test_regression PASSED astropy/io/votable/tests/vo_test.py::test_regression_python_based_parser PASSED astropy/io/votable/tests/vo_test.py::test_regression_binary2 PASSED astropy/io/votable/tests/vo_test.py::TestFixups::test_implicit_id PASSED astropy/io/votable/tests/vo_test.py::TestReferences::test_fieldref PASSED astropy/io/votable/tests/vo_test.py::TestReferences::test_paramref PASSED astropy/io/votable/tests/vo_test.py::TestReferences::test_iter_fields_and_params_on_a_group PASSED astropy/io/votable/tests/vo_test.py::TestReferences::test_iter_groups_on_a_group PASSED astropy/io/votable/tests/vo_test.py::TestReferences::test_iter_groups PASSED astropy/io/votable/tests/vo_test.py::TestReferences::test_ref_table PASSED astropy/io/votable/tests/vo_test.py::TestReferences::test_iter_coosys PASSED astropy/io/votable/tests/vo_test.py::test_select_columns_by_index PASSED astropy/io/votable/tests/vo_test.py::test_select_columns_by_name PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_string_test PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_fixed_string_test PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_unicode_test PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_fixed_unicode_test PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_unsignedByte PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_short PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_int PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_long PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_double PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_float PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_array PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_bit PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_bit_mask PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_bitarray PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_bitarray_mask PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_bitvararray PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_bitvararray2 PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_floatComplex PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_doubleComplex PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_doubleComplexArray PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_boolean PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_boolean_mask PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_boolean_array PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_boolean_array_mask PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_nulls PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_nulls_array PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_double_array PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_bit_array2 PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_bit_array2_mask PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_get_coosys_by_id PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_get_field_by_utype PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_get_info_by_id PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_repr PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_string_test PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_fixed_string_test PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_unicode_test PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_fixed_unicode_test PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_unsignedByte PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_short PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_int PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_long PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_double PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_float PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_array PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_bit PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_bitarray PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_bitvararray PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_bitvararray2 PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_floatComplex PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_doubleComplex PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_doubleComplexArray PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_boolean PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_boolean_mask PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_boolean_array PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_boolean_array_mask PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_nulls PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_nulls_array PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_double_array PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_bit_array2 PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_get_coosys_by_id PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_get_field_by_utype PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_get_info_by_id PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_repr PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_bit_mask PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_bitarray_mask PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_bit_array2_mask PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_schema PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_string_test PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_fixed_string_test PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_unicode_test PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_fixed_unicode_test PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_unsignedByte PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_short PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_int PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_long PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_double PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_float PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_array PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_bit PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_bitarray PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_bitvararray PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_bitvararray2 PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_floatComplex PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_doubleComplex PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_doubleComplexArray PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_boolean PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_boolean_mask PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_boolean_array PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_boolean_array_mask PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_nulls PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_nulls_array PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_double_array PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_bit_array2 PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_get_coosys_by_id PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_get_field_by_utype PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_get_info_by_id PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_repr PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_bit_mask PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_bitarray_mask PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_bit_array2_mask PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_string_test PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_fixed_string_test PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_unicode_test PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_fixed_unicode_test PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_unsignedByte PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_short PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_int PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_long PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_double PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_float PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_array PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_bit PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_bit_mask PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_bitarray PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_bitarray_mask PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_bitvararray PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_bitvararray2 PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_floatComplex PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_doubleComplex PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_doubleComplexArray PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_boolean PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_boolean_mask PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_boolean_array PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_boolean_array_mask PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_nulls PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_nulls_array PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_double_array PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_bit_array2 PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_bit_array2_mask PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_get_field_by_utype PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_get_info_by_id PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_repr PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_get_coosys_by_id PASSED astropy/io/votable/tests/vo_test.py::test_open_files PASSED astropy/io/votable/tests/vo_test.py::test_build_from_scratch PASSED astropy/io/votable/tests/vo_test.py::test_validate PASSED astropy/io/votable/tests/vo_test.py::test_validate_path_object SKIPPED astropy/io/votable/tests/vo_test.py::test_gzip_filehandles PASSED astropy/io/votable/tests/vo_test.py::test_from_scratch_example PASSED astropy/io/votable/tests/vo_test.py::test_fileobj PASSED astropy/io/votable/tests/vo_test.py::test_nonstandard_units PASSED astropy/io/votable/tests/vo_test.py::test_resource_structure PASSED astropy/io/votable/tests/vo_test.py::test_no_resource_check PASSED astropy/io/votable/tests/vo_test.py::test_instantiate_vowarning PASSED astropy/io/votable/tests/vo_test.py::test_custom_datatype PASSED astropy/io/votable/tests/vo_test.py::test_too_many_columns <- lib.linux-x86_64-2.7/astropy/tests/helper.py PASSED astropy/io/votable/tests/vo_test.py::test_parse_single_table3 <- lib.linux-x86_64-2.7/astropy/tests/helper.py PASSED astropy/io/votable/tests/vo_test.py::test_parse_single_table PASSED astropy/io/votable/tests/vo_test.py::test_parse_single_table2 PASSED astropy/io/votable/tests/vo_test.py::test_regression PASSED astropy/io/votable/tests/vo_test.py::test_regression_python_based_parser PASSED astropy/io/votable/tests/vo_test.py::test_regression_binary2 PASSED astropy/io/votable/tests/vo_test.py::TestFixups::test_implicit_id PASSED astropy/io/votable/tests/vo_test.py::TestReferences::test_fieldref PASSED astropy/io/votable/tests/vo_test.py::TestReferences::test_paramref PASSED astropy/io/votable/tests/vo_test.py::TestReferences::test_iter_fields_and_params_on_a_group PASSED astropy/io/votable/tests/vo_test.py::TestReferences::test_iter_groups_on_a_group PASSED astropy/io/votable/tests/vo_test.py::TestReferences::test_iter_groups PASSED astropy/io/votable/tests/vo_test.py::TestReferences::test_ref_table PASSED astropy/io/votable/tests/vo_test.py::TestReferences::test_iter_coosys PASSED astropy/io/votable/tests/vo_test.py::test_select_columns_by_index PASSED astropy/io/votable/tests/vo_test.py::test_select_columns_by_name PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_string_test PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_fixed_string_test PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_unicode_test PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_fixed_unicode_test PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_unsignedByte PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_short PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_int PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_long PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_double PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_float PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_array PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_bit PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_bit_mask PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_bitarray PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_bitarray_mask PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_bitvararray PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_bitvararray2 PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_floatComplex PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_doubleComplex PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_doubleComplexArray PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_boolean PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_boolean_mask PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_boolean_array PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_boolean_array_mask PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_nulls PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_nulls_array PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_double_array PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_bit_array2 PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_bit_array2_mask PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_get_coosys_by_id PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_get_field_by_utype PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_get_info_by_id PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_repr PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_string_test PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_fixed_string_test PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_unicode_test PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_fixed_unicode_test PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_unsignedByte PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_short PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_int PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_long PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_double PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_float PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_array PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_bit PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_bitarray PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_bitvararray PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_bitvararray2 PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_floatComplex PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_doubleComplex PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_doubleComplexArray PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_boolean PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_boolean_mask PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_boolean_array PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_boolean_array_mask PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_nulls PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_nulls_array PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_double_array PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_bit_array2 PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_get_coosys_by_id PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_get_field_by_utype PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_get_info_by_id PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_repr PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_bit_mask PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_bitarray_mask PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_bit_array2_mask PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_schema PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_string_test PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_fixed_string_test PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_unicode_test PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_fixed_unicode_test PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_unsignedByte PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_short PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_int PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_long PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_double PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_float PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_array PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_bit PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_bitarray PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_bitvararray PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_bitvararray2 PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_floatComplex PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_doubleComplex PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_doubleComplexArray PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_boolean PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_boolean_mask PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_boolean_array PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_boolean_array_mask PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_nulls PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_nulls_array PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_double_array PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_bit_array2 PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_get_coosys_by_id PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_get_field_by_utype PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_get_info_by_id PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_repr PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_bit_mask PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_bitarray_mask PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_bit_array2_mask PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_string_test PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_fixed_string_test PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_unicode_test PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_fixed_unicode_test PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_unsignedByte PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_short PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_int PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_long PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_double PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_float PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_array PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_bit PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_bit_mask PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_bitarray PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_bitarray_mask PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_bitvararray PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_bitvararray2 PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_floatComplex PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_doubleComplex PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_doubleComplexArray PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_boolean PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_boolean_mask PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_boolean_array PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_boolean_array_mask PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_nulls PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_nulls_array PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_double_array PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_bit_array2 PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_bit_array2_mask PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_get_field_by_utype PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_get_info_by_id PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_repr PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_get_coosys_by_id PASSED astropy/io/votable/tests/vo_test.py::test_open_files PASSED astropy/io/votable/tests/vo_test.py::test_build_from_scratch PASSED astropy/io/votable/tests/vo_test.py::test_validate PASSED astropy/io/votable/tests/vo_test.py::test_validate_path_object SKIPPED astropy/io/votable/tests/vo_test.py::test_gzip_filehandles PASSED astropy/io/votable/tests/vo_test.py::test_from_scratch_example PASSED astropy/io/votable/tests/vo_test.py::test_fileobj PASSED astropy/io/votable/tests/vo_test.py::test_nonstandard_units PASSED astropy/io/votable/tests/vo_test.py::test_resource_structure PASSED astropy/io/votable/tests/vo_test.py::test_no_resource_check PASSED astropy/io/votable/tests/vo_test.py::test_instantiate_vowarning PASSED astropy/io/votable/tests/vo_test.py::test_custom_datatype PASSED astropy/io/votable/tests/vo_test.py::test_too_many_columns <- lib.linux-x86_64-2.7/astropy/tests/helper.py PASSED astropy/io/votable/tests/vo_test.py::test_parse_single_table3 <- lib.linux-x86_64-2.7/astropy/tests/helper.py PASSED astropy/modeling/blackbody.py::astropy.modeling.blackbody PASSED astropy/modeling/blackbody.py::astropy.modeling.blackbody.BlackBody1D PASSED astropy/modeling/core.py::astropy.modeling.core.Model PASSED astropy/modeling/core.py::astropy.modeling.core.Model.bounding_box PASSED astropy/modeling/core.py::astropy.modeling.core.Model.rename PASSED astropy/modeling/core.py::astropy.modeling.core._CompoundModelMeta._init_param_descriptors SKIPPED astropy/modeling/core.py::astropy.modeling.core.custom_model PASSED astropy/modeling/functional_models.py::astropy.modeling.functional_models.Gaussian1D PASSED astropy/modeling/mappings.py::astropy.modeling.mappings.Identity PASSED astropy/modeling/mappings.py::astropy.modeling.mappings.Mapping PASSED astropy/modeling/parameters.py::astropy.modeling.parameters.Parameter.validator PASSED astropy/modeling/tabular.py::astropy.modeling.tabular PASSED astropy/modeling/tabular.py::astropy.modeling.tabular._Tabular._bounding_box PASSED astropy/modeling/tabular.py::astropy.modeling.tabular.tabular_model PASSED astropy/modeling/utils.py::astropy.modeling.utils.AliasDict PASSED astropy/modeling/utils.py::astropy.modeling.utils.make_binary_operator_eval PASSED astropy/modeling/tests/test_blackbody.py::TestBlackbody1D::test_evaluate[temperature0] PASSED astropy/modeling/tests/test_blackbody.py::TestBlackbody1D::test_evaluate[temperature1] PASSED astropy/modeling/tests/test_blackbody.py::TestBlackbody1D::test_fit PASSED astropy/modeling/tests/test_blackbody.py::test_blackbody_scipy PASSED astropy/modeling/tests/test_blackbody.py::test_blackbody_overflow PASSED astropy/modeling/tests/test_blackbody.py::test_blackbody_synphot PASSED astropy/modeling/tests/test_blackbody.py::test_blackbody_exceptions_and_warnings PASSED astropy/modeling/tests/test_blackbody.py::test_blackbody_array_temperature PASSED astropy/modeling/tests/test_compound.py::test_two_model_class_arithmetic_1d[expr0-5.0] PASSED astropy/modeling/tests/test_compound.py::test_two_model_class_arithmetic_1d[expr1--1.0] PASSED astropy/modeling/tests/test_compound.py::test_two_model_class_arithmetic_1d[expr2-6.0] PASSED astropy/modeling/tests/test_compound.py::test_two_model_class_arithmetic_1d[expr3-0.666666666667] PASSED astropy/modeling/tests/test_compound.py::test_two_model_class_arithmetic_1d[expr4-8.0] PASSED astropy/modeling/tests/test_compound.py::test_model_set[expr0-result0] PASSED astropy/modeling/tests/test_compound.py::test_model_set[expr1-result1] PASSED astropy/modeling/tests/test_compound.py::test_model_set[expr2-result2] PASSED astropy/modeling/tests/test_compound.py::test_model_set[expr3-result3] PASSED astropy/modeling/tests/test_compound.py::test_model_set[expr4-result4] PASSED astropy/modeling/tests/test_compound.py::test_model_set_raises_value_error[expr0-result0] PASSED astropy/modeling/tests/test_compound.py::test_model_set_raises_value_error[expr1-result1] PASSED astropy/modeling/tests/test_compound.py::test_model_set_raises_value_error[expr2-result2] PASSED astropy/modeling/tests/test_compound.py::test_model_set_raises_value_error[expr3-result3] PASSED astropy/modeling/tests/test_compound.py::test_model_set_raises_value_error[expr4-result4] PASSED astropy/modeling/tests/test_compound.py::test_two_model_instance_arithmetic_1d[expr0-5.0] PASSED astropy/modeling/tests/test_compound.py::test_two_model_instance_arithmetic_1d[expr1--1.0] PASSED astropy/modeling/tests/test_compound.py::test_two_model_instance_arithmetic_1d[expr2-6.0] PASSED astropy/modeling/tests/test_compound.py::test_two_model_instance_arithmetic_1d[expr3-0.666666666667] PASSED astropy/modeling/tests/test_compound.py::test_two_model_instance_arithmetic_1d[expr4-8.0] PASSED astropy/modeling/tests/test_compound.py::test_two_model_mixed_arithmetic_1d[expr0-5.0] PASSED astropy/modeling/tests/test_compound.py::test_two_model_mixed_arithmetic_1d[expr1--1.0] PASSED astropy/modeling/tests/test_compound.py::test_two_model_mixed_arithmetic_1d[expr2-6.0] PASSED astropy/modeling/tests/test_compound.py::test_two_model_mixed_arithmetic_1d[expr3-0.666666666667] PASSED astropy/modeling/tests/test_compound.py::test_two_model_mixed_arithmetic_1d[expr4-8.0] PASSED astropy/modeling/tests/test_compound.py::test_simple_two_model_class_compose_1d PASSED astropy/modeling/tests/test_compound.py::test_simple_two_model_class_compose_2d PASSED astropy/modeling/tests/test_compound.py::test_n_submodels PASSED astropy/modeling/tests/test_compound.py::test_expression_formatting PASSED astropy/modeling/tests/test_compound.py::test_indexing_on_class PASSED astropy/modeling/tests/test_compound.py::test_slicing_on_class PASSED astropy/modeling/tests/test_compound.py::test_slicing_on_instance PASSED astropy/modeling/tests/test_compound.py::test_indexing_on_instance PASSED astropy/modeling/tests/test_compound.py::test_basic_compound_inverse PASSED astropy/modeling/tests/test_compound.py::test_compound_unsupported_inverse[model0] PASSED astropy/modeling/tests/test_compound.py::test_compound_unsupported_inverse[model1] PASSED astropy/modeling/tests/test_compound.py::test_compound_unsupported_inverse[model2] PASSED astropy/modeling/tests/test_compound.py::test_compound_unsupported_inverse[model3] PASSED astropy/modeling/tests/test_compound.py::test_compound_unsupported_inverse[model4] PASSED astropy/modeling/tests/test_compound.py::test_compound_unsupported_inverse[model5] PASSED astropy/modeling/tests/test_compound.py::test_mapping_basic_permutations PASSED astropy/modeling/tests/test_compound.py::test_mapping_inverse PASSED astropy/modeling/tests/test_compound.py::test_identity_input PASSED astropy/modeling/tests/test_compound.py::test_slicing_on_instances_2 PASSED astropy/modeling/tests/test_compound.py::test_slicing_on_instances_3 PASSED astropy/modeling/tests/test_compound.py::test_slicing_on_instance_with_parameterless_model PASSED astropy/modeling/tests/test_compound.py::test_compound_model_with_nonstandard_broadcasting PASSED astropy/modeling/tests/test_compound.py::test_compound_model_classify_attributes PASSED astropy/modeling/tests/test_compound.py::test_invalid_operands PASSED astropy/modeling/tests/test_compound.py::test_inherit_constraints[model0] PASSED astropy/modeling/tests/test_compound.py::test_inherit_constraints[model1] PASSED astropy/modeling/tests/test_compound.py::test_compound_custom_inverse PASSED astropy/modeling/tests/test_compound.py::test_compound_with_polynomials[poly0] PASSED astropy/modeling/tests/test_compound.py::test_compound_with_polynomials[poly1] PASSED astropy/modeling/tests/test_compound.py::test_compound_with_polynomials[poly2] PASSED astropy/modeling/tests/test_compound.py::test_compound_with_polynomials[poly3] PASSED astropy/modeling/tests/test_compound.py::test_compound_with_polynomials[poly4] PASSED astropy/modeling/tests/test_compound.py::test_compound_with_polynomials[poly5] PASSED astropy/modeling/tests/test_compound.py::test_pickle_compound PASSED astropy/modeling/tests/test_compound.py::test_pickle_compound_fallback SKIPPED astropy/modeling/tests/test_compound.py::test_update_parameters PASSED astropy/modeling/tests/test_compound.py::test_name PASSED astropy/modeling/tests/test_constraints.py::TestNonLinearConstraints::test_fixed_par PASSED astropy/modeling/tests/test_constraints.py::TestNonLinearConstraints::test_tied_par PASSED astropy/modeling/tests/test_constraints.py::TestNonLinearConstraints::test_joint_fitter PASSED astropy/modeling/tests/test_constraints.py::TestNonLinearConstraints::test_no_constraints PASSED astropy/modeling/tests/test_constraints.py::TestBounds::test_bounds_lsq PASSED astropy/modeling/tests/test_constraints.py::TestBounds::test_bounds_slsqp PASSED astropy/modeling/tests/test_constraints.py::TestBounds::test_bounds_gauss2d_lsq PASSED astropy/modeling/tests/test_constraints.py::TestBounds::test_bounds_gauss2d_slsqp PASSED astropy/modeling/tests/test_constraints.py::TestLinearConstraints::test PASSED astropy/modeling/tests/test_constraints.py::test_set_fixed_1 PASSED astropy/modeling/tests/test_constraints.py::test_set_fixed_2 PASSED astropy/modeling/tests/test_constraints.py::test_set_tied_1 PASSED astropy/modeling/tests/test_constraints.py::test_set_tied_2 PASSED astropy/modeling/tests/test_constraints.py::test_unset_fixed PASSED astropy/modeling/tests/test_constraints.py::test_unset_tied PASSED astropy/modeling/tests/test_constraints.py::test_set_bounds_1 PASSED astropy/modeling/tests/test_constraints.py::test_set_bounds_2 PASSED astropy/modeling/tests/test_constraints.py::test_unset_bounds PASSED astropy/modeling/tests/test_constraints.py::test_default_constraints PASSED astropy/modeling/tests/test_constraints.py::test_fit_with_fixed_and_bound_constraints PASSED astropy/modeling/tests/test_constraints.py::test_fit_with_bound_constraints_estimate_jacobian PASSED astropy/modeling/tests/test_constraints.py::test_gaussian2d_positive_stddev PASSED astropy/modeling/tests/test_core.py::test_Model_instance_repr_and_str PASSED astropy/modeling/tests/test_core.py::test_Model_array_parameter PASSED astropy/modeling/tests/test_core.py::test_inputless_model PASSED astropy/modeling/tests/test_core.py::test_ParametericModel PASSED astropy/modeling/tests/test_core.py::test_custom_model_signature PASSED astropy/modeling/tests/test_core.py::test_custom_model_subclass PASSED astropy/modeling/tests/test_core.py::test_custom_model_parametrized_decorator PASSED astropy/modeling/tests/test_core.py::test_custom_inverse PASSED astropy/modeling/tests/test_core.py::test_custom_inverse_reset PASSED astropy/modeling/tests/test_core.py::test_render_model_2d PASSED astropy/modeling/tests/test_core.py::test_render_model_1d PASSED astropy/modeling/tests/test_core.py::test_render_model_3d PASSED astropy/modeling/tests/test_core.py::test_custom_bounding_box_1d PASSED astropy/modeling/tests/test_core.py::test_n_submodels_in_single_models PASSED astropy/modeling/tests/test_fitters.py::TestPolynomial2D::test_poly2D_fitting PASSED astropy/modeling/tests/test_fitters.py::TestPolynomial2D::test_eval PASSED astropy/modeling/tests/test_fitters.py::TestPolynomial2D::test_polynomial2D_nonlinear_fitting PASSED astropy/modeling/tests/test_fitters.py::TestICheb2D::test_default_params PASSED astropy/modeling/tests/test_fitters.py::TestICheb2D::test_poly2D_cheb2D PASSED astropy/modeling/tests/test_fitters.py::TestICheb2D::test_chebyshev2D_nonlinear_fitting PASSED astropy/modeling/tests/test_fitters.py::TestICheb2D::test_chebyshev2D_nonlinear_fitting_with_weights PASSED astropy/modeling/tests/test_fitters.py::TestJointFitter::test_joint_parameter PASSED astropy/modeling/tests/test_fitters.py::TestJointFitter::test_joint_fitter PASSED astropy/modeling/tests/test_fitters.py::TestLinearLSQFitter::test_chebyshev1D PASSED astropy/modeling/tests/test_fitters.py::TestLinearLSQFitter::test_linear_fit_model_set PASSED astropy/modeling/tests/test_fitters.py::TestLinearLSQFitter::test_linear_fit_2d_model_set PASSED astropy/modeling/tests/test_fitters.py::TestLinearLSQFitter::test_linear_fit_fixed_parameter PASSED astropy/modeling/tests/test_fitters.py::TestLinearLSQFitter::test_linear_fit_model_set_fixed_parameter PASSED astropy/modeling/tests/test_fitters.py::TestLinearLSQFitter::test_linear_fit_2d_model_set_fixed_parameters PASSED astropy/modeling/tests/test_fitters.py::TestNonLinearFitters::test_estimated_vs_analytic_deriv PASSED astropy/modeling/tests/test_fitters.py::TestNonLinearFitters::test_estimated_vs_analytic_deriv_with_weights PASSED astropy/modeling/tests/test_fitters.py::TestNonLinearFitters::test_with_optimize PASSED astropy/modeling/tests/test_fitters.py::TestNonLinearFitters::test_with_weights PASSED astropy/modeling/tests/test_fitters.py::TestNonLinearFitters::test_fitter_against_LevMar[SimplexLSQFitter] PASSED astropy/modeling/tests/test_fitters.py::TestNonLinearFitters::test_fitter_against_LevMar[SLSQPLSQFitter] PASSED astropy/modeling/tests/test_fitters.py::TestNonLinearFitters::test_LSQ_SLSQP_with_constraints PASSED astropy/modeling/tests/test_fitters.py::TestNonLinearFitters::test_simplex_lsq_fitter PASSED astropy/modeling/tests/test_fitters.py::TestNonLinearFitters::test_param_cov PASSED astropy/modeling/tests/test_fitters.py::TestEntryPoint::test_working SKIPPED astropy/modeling/tests/test_fitters.py::TestEntryPoint::test_import_error SKIPPED astropy/modeling/tests/test_fitters.py::TestEntryPoint::test_bad_func SKIPPED astropy/modeling/tests/test_fitters.py::TestEntryPoint::test_bad_class SKIPPED astropy/modeling/tests/test_fitters.py::Test1DFittingWithOutlierRemoval::test_with_fitters_and_sigma_clip PASSED astropy/modeling/tests/test_fitters.py::Test2DFittingWithOutlierRemoval::test_with_fitters_and_sigma_clip PASSED astropy/modeling/tests/test_fitters.py::test_fitters_with_weights PASSED astropy/modeling/tests/test_fitters.py::test_fitters_interface PASSED astropy/modeling/tests/test_functional_models.py::test_Trapezoid1D PASSED astropy/modeling/tests/test_functional_models.py::test_GaussianAbsorption1D PASSED astropy/modeling/tests/test_functional_models.py::test_Gaussian2D PASSED astropy/modeling/tests/test_functional_models.py::test_Gaussian2DCovariance PASSED astropy/modeling/tests/test_functional_models.py::test_Gaussian2DRotation PASSED astropy/modeling/tests/test_functional_models.py::test_Gaussian2D_invalid_inputs PASSED astropy/modeling/tests/test_functional_models.py::test_moffat_fwhm PASSED astropy/modeling/tests/test_functional_models.py::test_RedshiftScaleFactor PASSED astropy/modeling/tests/test_functional_models.py::test_Ellipse2D PASSED astropy/modeling/tests/test_functional_models.py::test_Ellipse2D_circular PASSED astropy/modeling/tests/test_functional_models.py::test_Scale_inverse PASSED astropy/modeling/tests/test_functional_models.py::test_Shift_inverse PASSED astropy/modeling/tests/test_functional_models.py::test_Shift_model_levmar_fit PASSED astropy/modeling/tests/test_functional_models.py::test_Shift_model_set_linear_fit PASSED astropy/modeling/tests/test_functional_models.py::test_Scale_model_set_linear_fit PASSED astropy/modeling/tests/test_functional_models.py::test_Ring2D_rout PASSED astropy/modeling/tests/test_functional_models.py::test_Voigt1D PASSED astropy/modeling/tests/test_functional_models.py::test_compound_models_with_class_variables PASSED astropy/modeling/tests/test_input.py::TestInputType::test_input1D[Polynomial1D-params0] PASSED astropy/modeling/tests/test_input.py::TestInputType::test_input1D[Legendre1D-params1] PASSED astropy/modeling/tests/test_input.py::TestInputType::test_input1D[Chebyshev1D-params2] PASSED astropy/modeling/tests/test_input.py::TestInputType::test_input1D[Shift-params3] PASSED astropy/modeling/tests/test_input.py::TestInputType::test_input1D[Scale-params4] PASSED astropy/modeling/tests/test_input.py::TestInputType::test_input2D[Polynomial2D-params0] PASSED astropy/modeling/tests/test_input.py::TestInputType::test_input2D[Legendre2D-params1] PASSED astropy/modeling/tests/test_input.py::TestInputType::test_input2D[Chebyshev2D-params2] PASSED astropy/modeling/tests/test_input.py::TestFitting::test_linear_fitter_1set PASSED astropy/modeling/tests/test_input.py::TestFitting::test_linear_fitter_Nset PASSED astropy/modeling/tests/test_input.py::TestFitting::test_linear_fitter_1dcheb PASSED astropy/modeling/tests/test_input.py::TestFitting::test_linear_fitter_1dlegend PASSED astropy/modeling/tests/test_input.py::TestFitting::test_linear_fitter_1set2d PASSED astropy/modeling/tests/test_input.py::TestFitting::test_wrong_numpset PASSED astropy/modeling/tests/test_input.py::TestFitting::test_wrong_pset PASSED astropy/modeling/tests/test_input.py::TestFitting::test_nonlinear_lsqt_1set_1d PASSED astropy/modeling/tests/test_input.py::TestFitting::test_nonlinear_lsqt_Nset_1d PASSED astropy/modeling/tests/test_input.py::TestFitting::test_nonlinear_lsqt_1set_2d PASSED astropy/modeling/tests/test_input.py::TestFitting::test_nonlinear_lsqt_Nset_2d PASSED astropy/modeling/tests/test_input.py::TestEvaluation::test_non_linear_NYset PASSED astropy/modeling/tests/test_input.py::TestEvaluation::test_non_linear_NXYset PASSED astropy/modeling/tests/test_input.py::TestEvaluation::test_p1_1set_1pset PASSED astropy/modeling/tests/test_input.py::TestEvaluation::test_p1_nset_npset PASSED astropy/modeling/tests/test_input.py::TestEvaluation::test_p2_1set_1pset PASSED astropy/modeling/tests/test_input.py::TestEvaluation::test_p2_nset_npset PASSED astropy/modeling/tests/test_input.py::TestEvaluation::test_nset_domain PASSED astropy/modeling/tests/test_input.py::TestEvaluation::test_evaluate_gauss2d PASSED astropy/modeling/tests/test_input.py::TestSingleInputSingleOutputSingleModel::test_scalar_parameters_scalar_input PASSED astropy/modeling/tests/test_input.py::TestSingleInputSingleOutputSingleModel::test_scalar_parameters_1d_array_input PASSED astropy/modeling/tests/test_input.py::TestSingleInputSingleOutputSingleModel::test_scalar_parameters_2d_array_input PASSED astropy/modeling/tests/test_input.py::TestSingleInputSingleOutputSingleModel::test_scalar_parameters_3d_array_input PASSED astropy/modeling/tests/test_input.py::TestSingleInputSingleOutputSingleModel::test_1d_array_parameters_scalar_input PASSED astropy/modeling/tests/test_input.py::TestSingleInputSingleOutputSingleModel::test_1d_array_parameters_1d_array_input PASSED astropy/modeling/tests/test_input.py::TestSingleInputSingleOutputSingleModel::test_2d_array_parameters_2d_array_input PASSED astropy/modeling/tests/test_input.py::TestSingleInputSingleOutputSingleModel::test_mixed_array_parameters_1d_array_input PASSED astropy/modeling/tests/test_input.py::TestSingleInputSingleOutputTwoModel::test_scalar_parameters_scalar_input PASSED astropy/modeling/tests/test_input.py::TestSingleInputSingleOutputTwoModel::test_scalar_parameters_1d_array_input PASSED astropy/modeling/tests/test_input.py::TestSingleInputSingleOutputTwoModel::test_scalar_parameters_2d_array_input PASSED astropy/modeling/tests/test_input.py::TestSingleInputSingleOutputTwoModel::test_scalar_parameters_3d_array_input PASSED astropy/modeling/tests/test_input.py::TestSingleInputSingleOutputTwoModel::test_1d_array_parameters_scalar_input PASSED astropy/modeling/tests/test_input.py::TestSingleInputSingleOutputTwoModel::test_1d_array_parameters_1d_array_input PASSED astropy/modeling/tests/test_input.py::TestSingleInputSingleOutputTwoModel::test_2d_array_parameters_2d_array_input PASSED astropy/modeling/tests/test_input.py::TestSingleInputSingleOutputTwoModel::test_mixed_array_parameters_1d_array_input PASSED astropy/modeling/tests/test_input.py::TestSingleInputDoubleOutputSingleModel::test_scalar_parameters_scalar_input PASSED astropy/modeling/tests/test_input.py::TestSingleInputDoubleOutputSingleModel::test_scalar_parameters_1d_array_input PASSED astropy/modeling/tests/test_input.py::TestSingleInputDoubleOutputSingleModel::test_scalar_parameters_2d_array_input PASSED astropy/modeling/tests/test_input.py::TestSingleInputDoubleOutputSingleModel::test_scalar_parameters_3d_array_input PASSED astropy/modeling/tests/test_input.py::TestSingleInputDoubleOutputSingleModel::test_1d_array_parameters_scalar_input PASSED astropy/modeling/tests/test_input.py::TestSingleInputDoubleOutputSingleModel::test_1d_array_parameters_1d_array_input PASSED astropy/modeling/tests/test_input.py::TestSingleInputDoubleOutputSingleModel::test_2d_array_parameters_2d_array_input PASSED astropy/modeling/tests/test_input.py::TestSingleInputDoubleOutputSingleModel::test_mixed_array_parameters_1d_array_input PASSED astropy/modeling/tests/test_input.py::test_format_input_scalars PASSED astropy/modeling/tests/test_input.py::test_format_input_arrays PASSED astropy/modeling/tests/test_input.py::test_format_input_arrays_transposed PASSED astropy/modeling/tests/test_mappings.py::test_swap_axes PASSED astropy/modeling/tests/test_mappings.py::test_duplicate_axes PASSED astropy/modeling/tests/test_mappings.py::test_drop_axes_1 PASSED astropy/modeling/tests/test_mappings.py::test_drop_axes_2 PASSED astropy/modeling/tests/test_mappings.py::test_drop_axes_3 PASSED astropy/modeling/tests/test_mappings.py::test_identity PASSED astropy/modeling/tests/test_mappings.py::test_fittable_compound PASSED astropy/modeling/tests/test_models.py::test_custom_model PASSED astropy/modeling/tests/test_models.py::test_custom_model_init PASSED astropy/modeling/tests/test_models.py::test_custom_model_defaults PASSED astropy/modeling/tests/test_models.py::test_custom_model_bounding_box PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_input1D[Box1D-test_parameters0] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_input1D[Const1D-test_parameters1] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_input1D[Gaussian1D-test_parameters2] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_input1D[Linear1D-test_parameters3] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_input1D[Lorentz1D-test_parameters4] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_input1D[MexicanHat1D-test_parameters5] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_input1D[Moffat1D-test_parameters6] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_input1D[Sersic1D-test_parameters7] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_input1D[Sine1D-test_parameters8] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_input1D[Trapezoid1D-test_parameters9] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_input1D[Voigt1D-test_parameters10] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_input1D[Polynomial1D-test_parameters11] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_input1D[BrokenPowerLaw1D-test_parameters12] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_input1D[ExponentialCutoffPowerLaw1D-test_parameters13] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_input1D[LogParabola1D-test_parameters14] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_input1D[PowerLaw1D-test_parameters15] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_input1D[SmoothlyBrokenPowerLaw1D-test_parameters16] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_eval1D[Box1D-test_parameters0] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_eval1D[Const1D-test_parameters1] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_eval1D[Gaussian1D-test_parameters2] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_eval1D[Linear1D-test_parameters3] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_eval1D[Lorentz1D-test_parameters4] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_eval1D[MexicanHat1D-test_parameters5] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_eval1D[Moffat1D-test_parameters6] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_eval1D[Sersic1D-test_parameters7] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_eval1D[Sine1D-test_parameters8] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_eval1D[Trapezoid1D-test_parameters9] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_eval1D[Voigt1D-test_parameters10] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_eval1D[Polynomial1D-test_parameters11] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_eval1D[BrokenPowerLaw1D-test_parameters12] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_eval1D[ExponentialCutoffPowerLaw1D-test_parameters13] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_eval1D[LogParabola1D-test_parameters14] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_eval1D[PowerLaw1D-test_parameters15] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_eval1D[SmoothlyBrokenPowerLaw1D-test_parameters16] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_bounding_box1D[Box1D-test_parameters0] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_bounding_box1D[Const1D-test_parameters1] SKIPPED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_bounding_box1D[Gaussian1D-test_parameters2] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_bounding_box1D[Linear1D-test_parameters3] SKIPPED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_bounding_box1D[Lorentz1D-test_parameters4] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_bounding_box1D[MexicanHat1D-test_parameters5] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_bounding_box1D[Moffat1D-test_parameters6] SKIPPED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_bounding_box1D[Sersic1D-test_parameters7] SKIPPED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_bounding_box1D[Sine1D-test_parameters8] SKIPPED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_bounding_box1D[Trapezoid1D-test_parameters9] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_bounding_box1D[Voigt1D-test_parameters10] SKIPPED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_bounding_box1D[Polynomial1D-test_parameters11] SKIPPED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_bounding_box1D[BrokenPowerLaw1D-test_parameters12] SKIPPED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_bounding_box1D[ExponentialCutoffPowerLaw1D-test_parameters13] SKIPPED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_bounding_box1D[LogParabola1D-test_parameters14] SKIPPED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_bounding_box1D[PowerLaw1D-test_parameters15] SKIPPED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_bounding_box1D[SmoothlyBrokenPowerLaw1D-test_parameters16] SKIPPED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_fitter1D[Box1D-test_parameters0] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_fitter1D[Const1D-test_parameters1] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_fitter1D[Gaussian1D-test_parameters2] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_fitter1D[Linear1D-test_parameters3] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_fitter1D[Lorentz1D-test_parameters4] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_fitter1D[MexicanHat1D-test_parameters5] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_fitter1D[Moffat1D-test_parameters6] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_fitter1D[Sersic1D-test_parameters7] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_fitter1D[Sine1D-test_parameters8] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_fitter1D[Trapezoid1D-test_parameters9] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_fitter1D[Voigt1D-test_parameters10] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_fitter1D[Polynomial1D-test_parameters11] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_fitter1D[BrokenPowerLaw1D-test_parameters12] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_fitter1D[ExponentialCutoffPowerLaw1D-test_parameters13] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_fitter1D[LogParabola1D-test_parameters14] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_fitter1D[PowerLaw1D-test_parameters15] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_fitter1D[SmoothlyBrokenPowerLaw1D-test_parameters16] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_deriv_1D[Box1D-test_parameters0] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_deriv_1D[Const1D-test_parameters1] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_deriv_1D[Gaussian1D-test_parameters2] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_deriv_1D[Linear1D-test_parameters3] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_deriv_1D[Lorentz1D-test_parameters4] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_deriv_1D[MexicanHat1D-test_parameters5] SKIPPED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_deriv_1D[Moffat1D-test_parameters6] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_deriv_1D[Sersic1D-test_parameters7] SKIPPED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_deriv_1D[Sine1D-test_parameters8] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_deriv_1D[Trapezoid1D-test_parameters9] SKIPPED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_deriv_1D[Voigt1D-test_parameters10] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_deriv_1D[Polynomial1D-test_parameters11] SKIPPED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_deriv_1D[BrokenPowerLaw1D-test_parameters12] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_deriv_1D[ExponentialCutoffPowerLaw1D-test_parameters13] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_deriv_1D[LogParabola1D-test_parameters14] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_deriv_1D[PowerLaw1D-test_parameters15] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_deriv_1D[SmoothlyBrokenPowerLaw1D-test_parameters16] PASSED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_input2D[AiryDisk2D-test_parameters0] PASSED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_input2D[Box2D-test_parameters1] PASSED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_input2D[Const2D-test_parameters2] PASSED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_input2D[Disk2D-test_parameters3] PASSED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_input2D[Gaussian2D-test_parameters4] PASSED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_input2D[MexicanHat2D-test_parameters5] PASSED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_input2D[Moffat2D-test_parameters6] PASSED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_input2D[Planar2D-test_parameters7] PASSED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_input2D[Ring2D-test_parameters8] PASSED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_input2D[Sersic2D-test_parameters9] PASSED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_input2D[TrapezoidDisk2D-test_parameters10] PASSED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_input2D[Polynomial2D-test_parameters11] PASSED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_eval2D[AiryDisk2D-test_parameters0] PASSED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_eval2D[Box2D-test_parameters1] PASSED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_eval2D[Const2D-test_parameters2] PASSED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_eval2D[Disk2D-test_parameters3] PASSED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_eval2D[Gaussian2D-test_parameters4] PASSED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_eval2D[MexicanHat2D-test_parameters5] PASSED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_eval2D[Moffat2D-test_parameters6] PASSED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_eval2D[Planar2D-test_parameters7] PASSED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_eval2D[Ring2D-test_parameters8] PASSED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_eval2D[Sersic2D-test_parameters9] PASSED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_eval2D[TrapezoidDisk2D-test_parameters10] PASSED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_eval2D[Polynomial2D-test_parameters11] PASSED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_bounding_box2D[AiryDisk2D-test_parameters0] SKIPPED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_bounding_box2D[Box2D-test_parameters1] PASSED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_bounding_box2D[Const2D-test_parameters2] SKIPPED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_bounding_box2D[Disk2D-test_parameters3] PASSED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_bounding_box2D[Gaussian2D-test_parameters4] PASSED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_bounding_box2D[MexicanHat2D-test_parameters5] SKIPPED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_bounding_box2D[Moffat2D-test_parameters6] SKIPPED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_bounding_box2D[Planar2D-test_parameters7] SKIPPED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_bounding_box2D[Ring2D-test_parameters8] PASSED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_bounding_box2D[Sersic2D-test_parameters9] SKIPPED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_bounding_box2D[TrapezoidDisk2D-test_parameters10] PASSED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_bounding_box2D[Polynomial2D-test_parameters11] SKIPPED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_fitter2D[AiryDisk2D-test_parameters0] PASSED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_fitter2D[Box2D-test_parameters1] PASSED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_fitter2D[Const2D-test_parameters2] PASSED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_fitter2D[Disk2D-test_parameters3] PASSED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_fitter2D[Gaussian2D-test_parameters4] PASSED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_fitter2D[MexicanHat2D-test_parameters5] PASSED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_fitter2D[Moffat2D-test_parameters6] PASSED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_fitter2D[Planar2D-test_parameters7] PASSED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_fitter2D[Ring2D-test_parameters8] PASSED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_fitter2D[Sersic2D-test_parameters9] PASSED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_fitter2D[TrapezoidDisk2D-test_parameters10] PASSED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_fitter2D[Polynomial2D-test_parameters11] PASSED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_deriv_2D[AiryDisk2D-test_parameters0] SKIPPED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_deriv_2D[Box2D-test_parameters1] SKIPPED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_deriv_2D[Const2D-test_parameters2] SKIPPED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_deriv_2D[Disk2D-test_parameters3] SKIPPED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_deriv_2D[Gaussian2D-test_parameters4] PASSED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_deriv_2D[MexicanHat2D-test_parameters5] SKIPPED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_deriv_2D[Moffat2D-test_parameters6] PASSED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_deriv_2D[Planar2D-test_parameters7] PASSED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_deriv_2D[Ring2D-test_parameters8] SKIPPED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_deriv_2D[Sersic2D-test_parameters9] SKIPPED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_deriv_2D[TrapezoidDisk2D-test_parameters10] SKIPPED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_deriv_2D[Polynomial2D-test_parameters11] SKIPPED astropy/modeling/tests/test_models.py::test_ShiftModel PASSED astropy/modeling/tests/test_models.py::test_ScaleModel PASSED astropy/modeling/tests/test_models.py::test_voigt_model PASSED astropy/modeling/tests/test_models.py::test_model_instance_repr PASSED astropy/modeling/tests/test_models.py::test_tabular_interp_1d PASSED astropy/modeling/tests/test_models.py::test_tabular_interp_2d PASSED astropy/modeling/tests/test_models.py::test_tabular_nd PASSED astropy/modeling/tests/test_models.py::test_with_bounding_box PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_without_units[model0] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_without_units[model1] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_without_units[model2] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_without_units[model3] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_without_units[model4] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_without_units[model5] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_without_units[model6] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_without_units[model7] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_without_units[model8] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_without_units[model9] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_without_units[model10] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_without_units[model11] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_without_units[model12] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_without_units[model13] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_without_units[model14] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_without_units[model15] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_without_units[model16] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_without_units[model17] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_without_units[model18] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_without_units[model19] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_without_units[model20] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_without_units[model21] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_without_units[model22] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_without_units[model23] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_without_units[model24] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_without_units[model25] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_without_units[model26] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units[model0] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units[model1] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units[model2] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units[model3] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units[model4] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units[model5] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units[model6] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units[model7] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units[model8] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units[model9] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units[model10] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units[model11] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units[model12] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units[model13] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units[model14] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units[model15] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units[model16] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units[model17] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units[model18] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units[model19] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units[model20] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units[model21] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units[model22] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units[model23] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units[model24] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units[model25] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units[model26] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_x_array[model0] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_x_array[model1] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_x_array[model2] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_x_array[model3] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_x_array[model4] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_x_array[model5] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_x_array[model6] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_x_array[model7] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_x_array[model8] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_x_array[model9] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_x_array[model10] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_x_array[model11] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_x_array[model12] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_x_array[model13] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_x_array[model14] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_x_array[model15] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_x_array[model16] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_x_array[model17] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_x_array[model18] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_x_array[model19] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_x_array[model20] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_x_array[model21] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_x_array[model22] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_x_array[model23] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_x_array[model24] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_x_array[model25] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_x_array[model26] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_param_array[model0] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_param_array[model1] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_param_array[model2] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_param_array[model3] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_param_array[model4] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_param_array[model5] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_param_array[model6] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_param_array[model7] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_param_array[model8] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_param_array[model9] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_param_array[model10] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_param_array[model11] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_param_array[model12] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_param_array[model13] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_param_array[model14] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_param_array[model15] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_param_array[model16] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_param_array[model17] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_param_array[model18] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_param_array[model19] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_param_array[model20] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_param_array[model21] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_param_array[model22] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_param_array[model23] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_param_array[model24] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_param_array[model25] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_param_array[model26] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_bounding_box[model0] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_bounding_box[model1] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_bounding_box[model2] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_bounding_box[model3] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_bounding_box[model4] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_bounding_box[model5] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_bounding_box[model6] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_bounding_box[model7] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_bounding_box[model8] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_bounding_box[model9] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_bounding_box[model10] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_bounding_box[model11] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_bounding_box[model12] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_bounding_box[model13] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_bounding_box[model14] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_bounding_box[model15] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_bounding_box[model16] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_bounding_box[model17] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_bounding_box[model18] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_bounding_box[model19] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_bounding_box[model20] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_bounding_box[model21] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_bounding_box[model22] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_bounding_box[model23] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_bounding_box[model24] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_bounding_box[model25] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_bounding_box[model26] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_fitting[model0] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_fitting[model1] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_fitting[model2] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_fitting[model3] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_fitting[model4] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_fitting[model5] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_fitting[model6] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_fitting[model7] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_fitting[model8] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_fitting[model9] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_fitting[model10] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_fitting[model11] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_fitting[model12] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_fitting[model13] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_fitting[model14] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_fitting[model15] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_fitting[model16] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_fitting[model17] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_fitting[model18] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_fitting[model19] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_fitting[model20] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_fitting[model21] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_fitting[model22] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_fitting[model23] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_fitting[model24] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_fitting[model25] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_fitting[model26] PASSED astropy/modeling/tests/test_parameters.py::test_parameter_properties PASSED astropy/modeling/tests/test_parameters.py::test_parameter_operators PASSED astropy/modeling/tests/test_parameters.py::TestParameters::test_set_slice PASSED astropy/modeling/tests/test_parameters.py::TestParameters::test_set_parameters_as_list PASSED astropy/modeling/tests/test_parameters.py::TestParameters::test_set_parameters_as_array PASSED astropy/modeling/tests/test_parameters.py::TestParameters::test_set_as_tuple PASSED astropy/modeling/tests/test_parameters.py::TestParameters::test_set_model_attr_seq PASSED astropy/modeling/tests/test_parameters.py::TestParameters::test_set_model_attr_num PASSED astropy/modeling/tests/test_parameters.py::TestParameters::test_set_item PASSED astropy/modeling/tests/test_parameters.py::TestParameters::test_wrong_size1 PASSED astropy/modeling/tests/test_parameters.py::TestParameters::test_wrong_size2 PASSED astropy/modeling/tests/test_parameters.py::TestParameters::test_wrong_shape PASSED astropy/modeling/tests/test_parameters.py::TestParameters::test_par_against_iraf PASSED astropy/modeling/tests/test_parameters.py::TestParameters::testPolynomial1D PASSED astropy/modeling/tests/test_parameters.py::TestParameters::test_poly1d_multiple_sets PASSED astropy/modeling/tests/test_parameters.py::TestParameters::test_par_slicing PASSED astropy/modeling/tests/test_parameters.py::TestParameters::test_poly2d PASSED astropy/modeling/tests/test_parameters.py::TestParameters::test_poly2d_multiple_sets PASSED astropy/modeling/tests/test_parameters.py::TestParameters::test_shift_model_parameters1d PASSED astropy/modeling/tests/test_parameters.py::TestParameters::test_scale_model_parametersnd PASSED astropy/modeling/tests/test_parameters.py::TestParameters::test_parameters_wrong_shape PASSED astropy/modeling/tests/test_parameters.py::TestMultipleParameterSets::test_change_par PASSED astropy/modeling/tests/test_parameters.py::TestMultipleParameterSets::test_change_par2 PASSED astropy/modeling/tests/test_parameters.py::TestMultipleParameterSets::test_change_parameters PASSED astropy/modeling/tests/test_parameters.py::TestParameterInitialization::test_single_model_scalar_parameters PASSED astropy/modeling/tests/test_parameters.py::TestParameterInitialization::test_single_model_scalar_and_array_parameters PASSED astropy/modeling/tests/test_parameters.py::TestParameterInitialization::test_single_model_1d_array_parameters PASSED astropy/modeling/tests/test_parameters.py::TestParameterInitialization::test_single_model_1d_array_different_length_parameters PASSED astropy/modeling/tests/test_parameters.py::TestParameterInitialization::test_single_model_2d_array_parameters PASSED astropy/modeling/tests/test_parameters.py::TestParameterInitialization::test_single_model_2d_non_square_parameters PASSED astropy/modeling/tests/test_parameters.py::TestParameterInitialization::test_single_model_2d_broadcastable_parameters PASSED astropy/modeling/tests/test_parameters.py::TestParameterInitialization::test_two_model_incorrect_scalar_parameters[1-2] PASSED astropy/modeling/tests/test_parameters.py::TestParameterInitialization::test_two_model_incorrect_scalar_parameters[1-p21] PASSED astropy/modeling/tests/test_parameters.py::TestParameterInitialization::test_two_model_incorrect_scalar_parameters[p12-3] PASSED astropy/modeling/tests/test_parameters.py::TestParameterInitialization::test_two_model_incorrect_scalar_parameters[p13-p23] PASSED astropy/modeling/tests/test_parameters.py::TestParameterInitialization::test_two_model_incorrect_scalar_parameters[p14-p24] PASSED astropy/modeling/tests/test_parameters.py::TestParameterInitialization::test_two_model_scalar_parameters[kwargs0] PASSED astropy/modeling/tests/test_parameters.py::TestParameterInitialization::test_two_model_scalar_parameters[kwargs1] PASSED astropy/modeling/tests/test_parameters.py::TestParameterInitialization::test_two_model_scalar_parameters[kwargs2] PASSED astropy/modeling/tests/test_parameters.py::TestParameterInitialization::test_two_model_scalar_and_array_parameters[kwargs0] PASSED astropy/modeling/tests/test_parameters.py::TestParameterInitialization::test_two_model_scalar_and_array_parameters[kwargs1] PASSED astropy/modeling/tests/test_parameters.py::TestParameterInitialization::test_two_model_scalar_and_array_parameters[kwargs2] PASSED astropy/modeling/tests/test_parameters.py::TestParameterInitialization::test_two_model_1d_array_parameters PASSED astropy/modeling/tests/test_parameters.py::TestParameterInitialization::test_two_model_mixed_dimension_array_parameters PASSED astropy/modeling/tests/test_parameters.py::TestParameterInitialization::test_two_model_2d_array_parameters PASSED astropy/modeling/tests/test_parameters.py::TestParameterInitialization::test_two_model_nonzero_model_set_axis PASSED astropy/modeling/tests/test_parameters.py::TestParameterInitialization::test_wrong_number_of_params PASSED astropy/modeling/tests/test_parameters.py::TestParameterInitialization::test_wrong_number_of_params2 PASSED astropy/modeling/tests/test_parameters.py::TestParameterInitialization::test_array_parameter1 PASSED astropy/modeling/tests/test_parameters.py::TestParameterInitialization::test_array_parameter2 PASSED astropy/modeling/tests/test_parameters.py::TestParameterInitialization::test_array_parameter4 PASSED astropy/modeling/tests/test_parameters.py::test_non_broadcasting_parameters PASSED astropy/modeling/tests/test_parameters.py::test_setter PASSED astropy/modeling/tests/test_polynomial.py::TestFitting::test_linear_fitter_1D[Linear1D-False] PASSED astropy/modeling/tests/test_polynomial.py::TestFitting::test_linear_fitter_1D[Linear1D-True] PASSED astropy/modeling/tests/test_polynomial.py::TestFitting::test_linear_fitter_1D[Chebyshev1D-False] PASSED astropy/modeling/tests/test_polynomial.py::TestFitting::test_linear_fitter_1D[Chebyshev1D-True] PASSED astropy/modeling/tests/test_polynomial.py::TestFitting::test_linear_fitter_1D[Hermite1D-False] PASSED astropy/modeling/tests/test_polynomial.py::TestFitting::test_linear_fitter_1D[Hermite1D-True] PASSED astropy/modeling/tests/test_polynomial.py::TestFitting::test_linear_fitter_1D[Legendre1D-False] PASSED astropy/modeling/tests/test_polynomial.py::TestFitting::test_linear_fitter_1D[Legendre1D-True] PASSED astropy/modeling/tests/test_polynomial.py::TestFitting::test_linear_fitter_1D[Polynomial1D-False] PASSED astropy/modeling/tests/test_polynomial.py::TestFitting::test_linear_fitter_1D[Polynomial1D-True] PASSED astropy/modeling/tests/test_polynomial.py::TestFitting::test_non_linear_fitter_1D[Linear1D-False] PASSED astropy/modeling/tests/test_polynomial.py::TestFitting::test_non_linear_fitter_1D[Linear1D-True] PASSED astropy/modeling/tests/test_polynomial.py::TestFitting::test_non_linear_fitter_1D[Chebyshev1D-False] PASSED astropy/modeling/tests/test_polynomial.py::TestFitting::test_non_linear_fitter_1D[Chebyshev1D-True] PASSED astropy/modeling/tests/test_polynomial.py::TestFitting::test_non_linear_fitter_1D[Hermite1D-False] PASSED astropy/modeling/tests/test_polynomial.py::TestFitting::test_non_linear_fitter_1D[Hermite1D-True] PASSED astropy/modeling/tests/test_polynomial.py::TestFitting::test_non_linear_fitter_1D[Legendre1D-False] PASSED astropy/modeling/tests/test_polynomial.py::TestFitting::test_non_linear_fitter_1D[Legendre1D-True] PASSED astropy/modeling/tests/test_polynomial.py::TestFitting::test_non_linear_fitter_1D[Polynomial1D-False] PASSED astropy/modeling/tests/test_polynomial.py::TestFitting::test_non_linear_fitter_1D[Polynomial1D-True] PASSED astropy/modeling/tests/test_polynomial.py::TestFitting::test_linear_fitter_2D[Chebyshev2D-False] PASSED astropy/modeling/tests/test_polynomial.py::TestFitting::test_linear_fitter_2D[Chebyshev2D-True] PASSED astropy/modeling/tests/test_polynomial.py::TestFitting::test_linear_fitter_2D[Hermite2D-False] PASSED astropy/modeling/tests/test_polynomial.py::TestFitting::test_linear_fitter_2D[Hermite2D-True] PASSED astropy/modeling/tests/test_polynomial.py::TestFitting::test_linear_fitter_2D[Legendre2D-False] PASSED astropy/modeling/tests/test_polynomial.py::TestFitting::test_linear_fitter_2D[Legendre2D-True] PASSED astropy/modeling/tests/test_polynomial.py::TestFitting::test_linear_fitter_2D[Polynomial2D-False] PASSED astropy/modeling/tests/test_polynomial.py::TestFitting::test_linear_fitter_2D[Polynomial2D-True] PASSED astropy/modeling/tests/test_polynomial.py::TestFitting::test_non_linear_fitter_2D[Chebyshev2D-False] PASSED astropy/modeling/tests/test_polynomial.py::TestFitting::test_non_linear_fitter_2D[Chebyshev2D-True] PASSED astropy/modeling/tests/test_polynomial.py::TestFitting::test_non_linear_fitter_2D[Hermite2D-False] PASSED astropy/modeling/tests/test_polynomial.py::TestFitting::test_non_linear_fitter_2D[Hermite2D-True] PASSED astropy/modeling/tests/test_polynomial.py::TestFitting::test_non_linear_fitter_2D[Legendre2D-False] PASSED astropy/modeling/tests/test_polynomial.py::TestFitting::test_non_linear_fitter_2D[Legendre2D-True] PASSED astropy/modeling/tests/test_polynomial.py::TestFitting::test_non_linear_fitter_2D[Polynomial2D-False] PASSED astropy/modeling/tests/test_polynomial.py::TestFitting::test_non_linear_fitter_2D[Polynomial2D-True] PASSED astropy/modeling/tests/test_polynomial.py::test_polynomial_init_with_constraints[model_class0] SKIPPED astropy/modeling/tests/test_polynomial.py::test_sip_hst PASSED astropy/modeling/tests/test_polynomial.py::test_sip_irac PASSED astropy/modeling/tests/test_polynomial.py::test_sip_no_coeff PASSED astropy/modeling/tests/test_polynomial.py::test_zero_degree_polynomial[Polynomial1D] PASSED astropy/modeling/tests/test_polynomial.py::test_zero_degree_polynomial[Chebyshev1D] PASSED astropy/modeling/tests/test_polynomial.py::test_zero_degree_polynomial[Legendre1D] PASSED astropy/modeling/tests/test_polynomial.py::test_zero_degree_polynomial[Polynomial2D] PASSED astropy/modeling/tests/test_polynomial.py::test_zero_degree_polynomial[Chebyshev2D] PASSED astropy/modeling/tests/test_polynomial.py::test_zero_degree_polynomial[Legendre2D] PASSED astropy/modeling/tests/test_polynomial.py::test_2d_orthopolynomial_in_compound_model PASSED astropy/modeling/tests/test_projections.py::test_Projection_properties PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix[AZP] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix[SZP] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix[TAN] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix[STG] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix[SIN] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix[ARC] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix[ZEA] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix[AIR] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix[CYP] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix[CEA] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix[CAR] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix[MER] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix[SFL] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix[PAR] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix[MOL] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix[AIT] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix[COP] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix[COE] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix[COD] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix[COO] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix[BON] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix[PCO] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix[TSC] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix[CSC] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix[QSC] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix[HPX] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky[AZP] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky[SZP] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky[TAN] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky[STG] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky[SIN] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky[ARC] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky[ZEA] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky[AIR] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky[CYP] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky[CEA] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky[CAR] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky[MER] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky[SFL] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky[PAR] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky[MOL] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky[AIT] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky[COP] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky[COE] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky[COD] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky[COO] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky[BON] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky[PCO] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky[TSC] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky[CSC] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky[QSC] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky[HPX] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix_unit[AZP] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix_unit[SZP] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix_unit[TAN] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix_unit[STG] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix_unit[SIN] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix_unit[ARC] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix_unit[ZEA] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix_unit[AIR] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix_unit[CYP] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix_unit[CEA] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix_unit[CAR] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix_unit[MER] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix_unit[SFL] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix_unit[PAR] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix_unit[MOL] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix_unit[AIT] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix_unit[COP] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix_unit[COE] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix_unit[COD] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix_unit[COO] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix_unit[BON] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix_unit[PCO] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix_unit[TSC] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix_unit[CSC] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix_unit[QSC] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix_unit[HPX] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky_unit[AZP] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky_unit[SZP] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky_unit[TAN] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky_unit[STG] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky_unit[SIN] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky_unit[ARC] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky_unit[ZEA] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky_unit[AIR] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky_unit[CYP] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky_unit[CEA] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky_unit[CAR] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky_unit[MER] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky_unit[SFL] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky_unit[PAR] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky_unit[MOL] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky_unit[AIT] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky_unit[COP] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky_unit[COE] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky_unit[COD] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky_unit[COO] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky_unit[BON] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky_unit[PCO] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky_unit[TSC] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky_unit[CSC] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky_unit[QSC] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky_unit[HPX] PASSED astropy/modeling/tests/test_projections.py::test_projection_default[AZP] PASSED astropy/modeling/tests/test_projections.py::test_projection_default[SZP] PASSED astropy/modeling/tests/test_projections.py::test_projection_default[TAN] PASSED astropy/modeling/tests/test_projections.py::test_projection_default[STG] PASSED astropy/modeling/tests/test_projections.py::test_projection_default[SIN] PASSED astropy/modeling/tests/test_projections.py::test_projection_default[ARC] PASSED astropy/modeling/tests/test_projections.py::test_projection_default[ZEA] PASSED astropy/modeling/tests/test_projections.py::test_projection_default[AIR] PASSED astropy/modeling/tests/test_projections.py::test_projection_default[CYP] PASSED astropy/modeling/tests/test_projections.py::test_projection_default[CEA] PASSED astropy/modeling/tests/test_projections.py::test_projection_default[CAR] PASSED astropy/modeling/tests/test_projections.py::test_projection_default[MER] PASSED astropy/modeling/tests/test_projections.py::test_projection_default[SFL] PASSED astropy/modeling/tests/test_projections.py::test_projection_default[PAR] PASSED astropy/modeling/tests/test_projections.py::test_projection_default[MOL] PASSED astropy/modeling/tests/test_projections.py::test_projection_default[AIT] PASSED astropy/modeling/tests/test_projections.py::test_projection_default[COP] PASSED astropy/modeling/tests/test_projections.py::test_projection_default[COE] PASSED astropy/modeling/tests/test_projections.py::test_projection_default[COD] PASSED astropy/modeling/tests/test_projections.py::test_projection_default[COO] PASSED astropy/modeling/tests/test_projections.py::test_projection_default[BON] PASSED astropy/modeling/tests/test_projections.py::test_projection_default[PCO] PASSED astropy/modeling/tests/test_projections.py::test_projection_default[TSC] PASSED astropy/modeling/tests/test_projections.py::test_projection_default[CSC] PASSED astropy/modeling/tests/test_projections.py::test_projection_default[QSC] PASSED astropy/modeling/tests/test_projections.py::test_projection_default[HPX] PASSED astropy/modeling/tests/test_projections.py::TestZenithalPerspective::test_AZP_p2s PASSED astropy/modeling/tests/test_projections.py::TestZenithalPerspective::test_AZP_s2p PASSED astropy/modeling/tests/test_projections.py::TestCylindricalPerspective::test_CYP_p2s PASSED astropy/modeling/tests/test_projections.py::TestCylindricalPerspective::test_CYP_s2p PASSED astropy/modeling/tests/test_projections.py::test_AffineTransformation2D PASSED astropy/modeling/tests/test_projections.py::test_AffineTransformation2D_inverse PASSED astropy/modeling/tests/test_projections.py::test_c_projection_striding PASSED astropy/modeling/tests/test_projections.py::test_c_projections_shaped PASSED astropy/modeling/tests/test_quantities_evaluation.py::test_evaluate_with_quantities PASSED astropy/modeling/tests/test_quantities_evaluation.py::test_evaluate_with_quantities_and_equivalencies PASSED astropy/modeling/tests/test_quantities_evaluation.py::TestInputUnits::test_evaluate PASSED astropy/modeling/tests/test_quantities_evaluation.py::TestInputUnits::test_input_units PASSED astropy/modeling/tests/test_quantities_evaluation.py::TestInputUnits::test_input_units_allow_dimensionless PASSED astropy/modeling/tests/test_quantities_evaluation.py::TestInputUnits::test_input_units_strict PASSED astropy/modeling/tests/test_quantities_evaluation.py::TestInputUnits::test_input_units_equivalencies PASSED astropy/modeling/tests/test_quantities_evaluation.py::TestInputUnits::test_return_units PASSED astropy/modeling/tests/test_quantities_evaluation.py::TestInputUnits::test_return_units_scalar PASSED astropy/modeling/tests/test_quantities_fitting.py::test_fitting_simple PASSED astropy/modeling/tests/test_quantities_fitting.py::test_fitting_with_initial_values PASSED astropy/modeling/tests/test_quantities_fitting.py::test_fitting_missing_data_units PASSED astropy/modeling/tests/test_quantities_fitting.py::test_fitting_missing_model_units PASSED astropy/modeling/tests/test_quantities_fitting.py::test_fitting_incompatible_units PASSED astropy/modeling/tests/test_quantities_model.py::test_gaussian1d_bounding_box PASSED astropy/modeling/tests/test_quantities_model.py::test_gaussian1d_n_models PASSED astropy/modeling/tests/test_quantities_parameters.py::test_parameter_quantity PASSED astropy/modeling/tests/test_quantities_parameters.py::test_parameter_set_quantity PASSED astropy/modeling/tests/test_quantities_parameters.py::test_parameter_lose_units PASSED astropy/modeling/tests/test_quantities_parameters.py::test_parameter_add_units PASSED astropy/modeling/tests/test_quantities_parameters.py::test_parameter_change_unit PASSED astropy/modeling/tests/test_quantities_parameters.py::test_parameter_set_value PASSED astropy/modeling/tests/test_quantities_parameters.py::test_parameter_quantity_property PASSED astropy/modeling/tests/test_quantities_parameters.py::test_parameter_default_units_match PASSED astropy/modeling/tests/test_quantities_parameters.py::test_parameter_defaults[unit0-1.0] PASSED astropy/modeling/tests/test_quantities_parameters.py::test_parameter_defaults[None-default1] PASSED astropy/modeling/tests/test_quantities_parameters.py::test_parameter_quantity_arithmetic PASSED astropy/modeling/tests/test_quantities_parameters.py::test_parameter_quantity_comparison PASSED astropy/modeling/tests/test_quantities_parameters.py::test_parameters_compound_models PASSED astropy/modeling/tests/test_quantities_rotations.py::test_against_wcslib[inp0] PASSED astropy/modeling/tests/test_quantities_rotations.py::test_against_wcslib[inp1] PASSED astropy/modeling/tests/test_quantities_rotations.py::test_against_wcslib[inp2] PASSED astropy/modeling/tests/test_quantities_rotations.py::test_against_wcslib[inp3] PASSED astropy/modeling/tests/test_quantities_rotations.py::test_against_wcslib[inp4] PASSED astropy/modeling/tests/test_quantities_rotations.py::test_against_wcslib[inp5] PASSED astropy/modeling/tests/test_quantities_rotations.py::test_roundtrip_sky_rotaion[inp0] PASSED astropy/modeling/tests/test_quantities_rotations.py::test_roundtrip_sky_rotaion[inp1] PASSED astropy/modeling/tests/test_quantities_rotations.py::test_Rotation2D PASSED astropy/modeling/tests/test_quantities_rotations.py::test_Rotation2D_inverse PASSED astropy/modeling/tests/test_quantities_rotations.py::test_euler_angle_rotations PASSED astropy/modeling/tests/test_quantities_rotations.py::test_euler_rotations_with_units[params0] PASSED astropy/modeling/tests/test_quantities_rotations.py::test_euler_rotations_with_units[params1] PASSED astropy/modeling/tests/test_quantities_rotations.py::test_euler_rotations_with_units[params2] PASSED astropy/modeling/tests/test_quantities_rotations.py::test_attributes PASSED astropy/modeling/tests/test_rotations.py::test_against_wcslib[inp0] PASSED astropy/modeling/tests/test_rotations.py::test_against_wcslib[inp1] PASSED astropy/modeling/tests/test_rotations.py::test_against_wcslib[inp2] PASSED astropy/modeling/tests/test_rotations.py::test_against_wcslib[inp3] PASSED astropy/modeling/tests/test_rotations.py::test_against_wcslib[inp4] PASSED astropy/modeling/tests/test_rotations.py::test_against_wcslib[inp5] PASSED astropy/modeling/tests/test_rotations.py::test_roundtrip_sky_rotaion[inp0] PASSED astropy/modeling/tests/test_rotations.py::test_roundtrip_sky_rotaion[inp1] PASSED astropy/modeling/tests/test_rotations.py::test_roundtrip_sky_rotaion[inp2] PASSED astropy/modeling/tests/test_rotations.py::test_native_celestial_lat90 PASSED astropy/modeling/tests/test_rotations.py::test_Rotation2D PASSED astropy/modeling/tests/test_rotations.py::test_Rotation2D_inverse PASSED astropy/modeling/tests/test_rotations.py::test_euler_angle_rotations PASSED astropy/modeling/tests/test_rotations.py::test_euler_angles[zxz] PASSED astropy/modeling/tests/test_rotations.py::test_euler_angles[zyz] PASSED astropy/modeling/tests/test_rotations.py::test_euler_angles[yzy] PASSED astropy/modeling/tests/test_rotations.py::test_euler_angles[yxy] PASSED astropy/modeling/tests/test_rotations.py::test_euler_angles[xyx] PASSED astropy/modeling/tests/test_rotations.py::test_euler_angles[xzx] PASSED astropy/modeling/tests/test_utils.py::test_traverse_postorder_duplicate_subtrees PASSED astropy/modeling/tests/test_utils.py::test_tree_evaluate_subexpression PASSED astropy/modeling/tests/test_utils.py::test_ellipse_extent PASSED astropy/nddata/ccddata.py::astropy.nddata.ccddata.CCDData PASSED astropy/nddata/nddata.py::astropy.nddata.nddata.NDData PASSED astropy/nddata/nddata_withmixins.py::astropy.nddata.nddata_withmixins.NDDataRef PASSED astropy/nddata/nduncertainty.py::astropy.nddata.nduncertainty.StdDevUncertainty PASSED astropy/nddata/utils.py::astropy.nddata.utils.Cutout2D PASSED astropy/nddata/utils.py::astropy.nddata.utils.add_array PASSED astropy/nddata/utils.py::astropy.nddata.utils.block_reduce PASSED astropy/nddata/utils.py::astropy.nddata.utils.block_replicate PASSED astropy/nddata/utils.py::astropy.nddata.utils.extract_array PASSED astropy/nddata/utils.py::astropy.nddata.utils.subpixel_indices PASSED astropy/nddata/mixins/ndarithmetic.py::astropy.nddata.mixins.ndarithmetic.NDArithmeticMixin PASSED astropy/nddata/mixins/ndslicing.py::astropy.nddata.mixins.ndslicing.NDSlicingMixin PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data[data10-data20] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data[data11-data21] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data[data12-data22] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data[data13-data23] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data[data14-data24] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data[data15-data25] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data[data16-data26] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data_invalid PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data_unit_identical[data10-data20] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data_unit_identical[data11-data21] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data_unit_identical[data12-data22] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data_unit_identical[data13-data23] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data_unit_identical[data14-data24] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data_unit_identical[data15-data25] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data_unit_identical[data16-data26] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data_unit_identical[data17-data27] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data_unit_not_identical[data10-data20] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data_unit_not_identical[data11-data21] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data_unit_not_identical[data12-data22] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data_unit_not_identical[data13-data23] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data_wcs[None-None] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data_wcs[None-5] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data_wcs[5-None] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data_wcs[5-5] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data_wcs[7-5] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data_masks[None-None] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data_masks[None-False] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data_masks[True-None] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data_masks[False-False] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data_masks[True-False] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data_masks[False-True] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data_masks[True-True] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data_masks[mask17-mask27] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data_masks[mask18-mask28] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data_masks[mask19-mask29] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data_masks[mask110-mask210] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data_masks[mask111-mask211] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data_masks[mask112-mask212] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data_masks_invalid PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_basic PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_basic_with_correlation[-1-uncert10-data20] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_basic_with_correlation[-0.5-uncert11-data21] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_basic_with_correlation[-0.25-uncert12-data22] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_basic_with_correlation[0-uncert13-data23] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_basic_with_correlation[0.25-uncert14-data24] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_basic_with_correlation[0.5-uncert15-data25] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_basic_with_correlation[1-uncert16-data26] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_basic_with_correlation[-1-uncert17-data27] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_basic_with_correlation[-0.5-uncert18-data28] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_basic_with_correlation[-0.25-uncert19-data29] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_basic_with_correlation[0-uncert110-data210] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_basic_with_correlation[0.25-uncert111-data211] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_basic_with_correlation[0.5-uncert112-data212] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_basic_with_correlation[1-uncert113-data213] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_basic_with_correlation[-1-uncert114-data214] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_basic_with_correlation[-0.5-uncert115-data215] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_basic_with_correlation[-0.25-uncert116-data216] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_basic_with_correlation[0-uncert117-data217] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_basic_with_correlation[0.25-uncert118-data218] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_basic_with_correlation[0.5-uncert119-data219] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_basic_with_correlation[1-uncert120-data220] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_basic_with_correlation[-1-uncert121-data221] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_basic_with_correlation[-0.5-uncert122-data222] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_basic_with_correlation[-0.25-uncert123-data223] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_basic_with_correlation[0-uncert124-data224] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_basic_with_correlation[0.25-uncert125-data225] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_basic_with_correlation[0.5-uncert126-data226] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_basic_with_correlation[1-uncert127-data227] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_basic_with_correlation_array PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_with_correlation_unsupported PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_one_missing PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_with_units[uncert10-None] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_with_units[uncert11-None] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_with_units[None-uncert22] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_with_units[None-uncert23] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_with_units[uncert14-uncert24] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_with_units[uncert15-uncert25] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_with_units[uncert16-uncert26] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_with_units[uncert17-uncert27] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_with_units[uncert18-uncert28] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_with_units[uncert19-uncert29] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_with_units[uncert110-uncert210] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_with_units[uncert111-uncert211] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_handle_switches[ff] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_handle_switches[first_found] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_meta_func PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_wcs_func PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_mask_func PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_two_argument_useage[add] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_two_argument_useage[subtract] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_two_argument_useage[divide] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_two_argument_useage[multiply] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_two_argument_useage_non_nddata_first_arg[add] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_two_argument_useage_non_nddata_first_arg[subtract] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_two_argument_useage_non_nddata_first_arg[divide] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_two_argument_useage_non_nddata_first_arg[multiply] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_unknown_uncertainties PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data[data10-data20] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data[data11-data21] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data[data12-data22] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data[data13-data23] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data[data14-data24] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data[data15-data25] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data[data16-data26] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data_invalid PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data_unit_identical[data10-data20] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data_unit_identical[data11-data21] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data_unit_identical[data12-data22] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data_unit_identical[data13-data23] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data_unit_identical[data14-data24] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data_unit_identical[data15-data25] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data_unit_identical[data16-data26] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data_unit_identical[data17-data27] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data_unit_not_identical[data10-data20] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data_unit_not_identical[data11-data21] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data_unit_not_identical[data12-data22] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data_unit_not_identical[data13-data23] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data_wcs[None-None] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data_wcs[None-5] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data_wcs[5-None] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data_wcs[5-5] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data_wcs[7-5] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data_masks[None-None] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data_masks[None-False] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data_masks[True-None] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data_masks[False-False] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data_masks[True-False] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data_masks[False-True] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data_masks[True-True] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data_masks[mask17-mask27] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data_masks[mask18-mask28] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data_masks[mask19-mask29] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data_masks[mask110-mask210] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data_masks[mask111-mask211] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data_masks[mask112-mask212] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data_masks_invalid PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_basic PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_basic_with_correlation[-1-uncert10-data20] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_basic_with_correlation[-0.5-uncert11-data21] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_basic_with_correlation[-0.25-uncert12-data22] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_basic_with_correlation[0-uncert13-data23] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_basic_with_correlation[0.25-uncert14-data24] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_basic_with_correlation[0.5-uncert15-data25] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_basic_with_correlation[1-uncert16-data26] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_basic_with_correlation[-1-uncert17-data27] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_basic_with_correlation[-0.5-uncert18-data28] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_basic_with_correlation[-0.25-uncert19-data29] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_basic_with_correlation[0-uncert110-data210] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_basic_with_correlation[0.25-uncert111-data211] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_basic_with_correlation[0.5-uncert112-data212] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_basic_with_correlation[1-uncert113-data213] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_basic_with_correlation[-1-uncert114-data214] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_basic_with_correlation[-0.5-uncert115-data215] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_basic_with_correlation[-0.25-uncert116-data216] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_basic_with_correlation[0-uncert117-data217] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_basic_with_correlation[0.25-uncert118-data218] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_basic_with_correlation[0.5-uncert119-data219] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_basic_with_correlation[1-uncert120-data220] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_basic_with_correlation[-1-uncert121-data221] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_basic_with_correlation[-0.5-uncert122-data222] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_basic_with_correlation[-0.25-uncert123-data223] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_basic_with_correlation[0-uncert124-data224] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_basic_with_correlation[0.25-uncert125-data225] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_basic_with_correlation[0.5-uncert126-data226] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_basic_with_correlation[1-uncert127-data227] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_basic_with_correlation_array PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_with_correlation_unsupported PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_one_missing PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_with_units[uncert10-None] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_with_units[uncert11-None] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_with_units[None-uncert22] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_with_units[None-uncert23] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_with_units[uncert14-uncert24] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_with_units[uncert15-uncert25] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_with_units[uncert16-uncert26] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_with_units[uncert17-uncert27] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_with_units[uncert18-uncert28] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_with_units[uncert19-uncert29] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_with_units[uncert110-uncert210] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_with_units[uncert111-uncert211] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_handle_switches[ff] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_handle_switches[first_found] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_meta_func PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_wcs_func PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_mask_func PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_two_argument_useage[add] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_two_argument_useage[subtract] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_two_argument_useage[divide] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_two_argument_useage[multiply] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_two_argument_useage_non_nddata_first_arg[add] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_two_argument_useage_non_nddata_first_arg[subtract] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_two_argument_useage_non_nddata_first_arg[divide] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_two_argument_useage_non_nddata_first_arg[multiply] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_unknown_uncertainties PASSED astropy/nddata/mixins/tests/test_ndio.py::test_simple_write_read PASSED astropy/nddata/mixins/tests/test_ndslicing.py::test_slicing_only_data PASSED astropy/nddata/mixins/tests/test_ndslicing.py::test_slicing_data_scalar_fail PASSED astropy/nddata/mixins/tests/test_ndslicing.py::test_slicing_1ddata_ndslice PASSED astropy/nddata/mixins/tests/test_ndslicing.py::test_slicing_1dmask_ndslice[mask] PASSED astropy/nddata/mixins/tests/test_ndslicing.py::test_slicing_1dmask_ndslice[wcs] PASSED astropy/nddata/mixins/tests/test_ndslicing.py::test_slicing_1dmask_ndslice[uncertainty] PASSED astropy/nddata/mixins/tests/test_ndslicing.py::test_slicing_all_npndarray_1d PASSED astropy/nddata/mixins/tests/test_ndslicing.py::test_slicing_all_npndarray_nd PASSED astropy/nddata/mixins/tests/test_ndslicing.py::test_slicing_all_npndarray_shape_diff PASSED astropy/nddata/mixins/tests/test_ndslicing.py::test_slicing_all_something_wrong PASSED astropy/nddata/mixins/tests/test_ndslicing.py::test_boolean_slicing PASSED astropy/nddata/mixins/tests/test_ndslicing.py::test_slicing_only_data PASSED astropy/nddata/mixins/tests/test_ndslicing.py::test_slicing_data_scalar_fail PASSED astropy/nddata/mixins/tests/test_ndslicing.py::test_slicing_1ddata_ndslice PASSED astropy/nddata/mixins/tests/test_ndslicing.py::test_slicing_1dmask_ndslice[mask] PASSED astropy/nddata/mixins/tests/test_ndslicing.py::test_slicing_1dmask_ndslice[wcs] PASSED astropy/nddata/mixins/tests/test_ndslicing.py::test_slicing_1dmask_ndslice[uncertainty] PASSED astropy/nddata/mixins/tests/test_ndslicing.py::test_slicing_all_npndarray_1d PASSED astropy/nddata/mixins/tests/test_ndslicing.py::test_slicing_all_npndarray_nd PASSED astropy/nddata/mixins/tests/test_ndslicing.py::test_slicing_all_npndarray_shape_diff PASSED astropy/nddata/mixins/tests/test_ndslicing.py::test_slicing_all_something_wrong PASSED astropy/nddata/mixins/tests/test_ndslicing.py::test_boolean_slicing PASSED astropy/nddata/tests/test_ccddata.py::test_ccddata_empty PASSED astropy/nddata/tests/test_ccddata.py::test_ccddata_must_have_unit PASSED astropy/nddata/tests/test_ccddata.py::test_ccddata_unit_cannot_be_set_to_none PASSED astropy/nddata/tests/test_ccddata.py::test_ccddata_meta_header_conflict PASSED astropy/nddata/tests/test_ccddata.py::test_ccddata_simple PASSED astropy/nddata/tests/test_ccddata.py::test_ccddata_init_with_string_electron_unit PASSED astropy/nddata/tests/test_ccddata.py::test_initialize_from_FITS PASSED astropy/nddata/tests/test_ccddata.py::test_initialize_from_fits_with_unit_in_header PASSED astropy/nddata/tests/test_ccddata.py::test_initialize_from_fits_with_ADU_in_header PASSED astropy/nddata/tests/test_ccddata.py::test_initialize_from_fits_with_data_in_different_extension PASSED astropy/nddata/tests/test_ccddata.py::test_initialize_from_fits_with_extension PASSED astropy/nddata/tests/test_ccddata.py::test_write_unit_to_hdu PASSED astropy/nddata/tests/test_ccddata.py::test_initialize_from_FITS_bad_keyword_raises_error PASSED astropy/nddata/tests/test_ccddata.py::test_ccddata_writer PASSED astropy/nddata/tests/test_ccddata.py::test_ccddata_meta_is_case_sensitive PASSED astropy/nddata/tests/test_ccddata.py::test_ccddata_meta_is_not_fits_header PASSED astropy/nddata/tests/test_ccddata.py::test_fromMEF PASSED astropy/nddata/tests/test_ccddata.py::test_metafromheader PASSED astropy/nddata/tests/test_ccddata.py::test_metafromdict PASSED astropy/nddata/tests/test_ccddata.py::test_header2meta PASSED astropy/nddata/tests/test_ccddata.py::test_metafromstring_fail PASSED astropy/nddata/tests/test_ccddata.py::test_setting_bad_uncertainty_raises_error PASSED astropy/nddata/tests/test_ccddata.py::test_setting_uncertainty_with_array PASSED astropy/nddata/tests/test_ccddata.py::test_setting_uncertainty_wrong_shape_raises_error PASSED astropy/nddata/tests/test_ccddata.py::test_to_hdu PASSED astropy/nddata/tests/test_ccddata.py::test_copy PASSED astropy/nddata/tests/test_ccddata.py::test_mult_div_overload[True-2.0-multiply-True] PASSED astropy/nddata/tests/test_ccddata.py::test_mult_div_overload[True-2.0-divide-True] PASSED astropy/nddata/tests/test_ccddata.py::test_mult_div_overload[True-operand1-multiply-True] PASSED astropy/nddata/tests/test_ccddata.py::test_mult_div_overload[True-operand1-divide-True] PASSED astropy/nddata/tests/test_ccddata.py::test_mult_div_overload[True-operand2-multiply-True] PASSED astropy/nddata/tests/test_ccddata.py::test_mult_div_overload[True-operand2-divide-True] PASSED astropy/nddata/tests/test_ccddata.py::test_mult_div_overload[False-2.0-multiply-True] PASSED astropy/nddata/tests/test_ccddata.py::test_mult_div_overload[False-2.0-divide-True] PASSED astropy/nddata/tests/test_ccddata.py::test_mult_div_overload[False-operand1-multiply-True] PASSED astropy/nddata/tests/test_ccddata.py::test_mult_div_overload[False-operand1-divide-True] PASSED astropy/nddata/tests/test_ccddata.py::test_mult_div_overload[False-operand2-multiply-True] PASSED astropy/nddata/tests/test_ccddata.py::test_mult_div_overload[False-operand2-divide-True] PASSED astropy/nddata/tests/test_ccddata.py::test_add_sub_overload[True-2.0-UnitsError-add-False] PASSED astropy/nddata/tests/test_ccddata.py::test_add_sub_overload[True-2.0-UnitsError-subtract-False] PASSED astropy/nddata/tests/test_ccddata.py::test_add_sub_overload[True-operand1-UnitsError-add-False] PASSED astropy/nddata/tests/test_ccddata.py::test_add_sub_overload[True-operand1-UnitsError-subtract-False] PASSED astropy/nddata/tests/test_ccddata.py::test_add_sub_overload[True-operand2-False-add-False] PASSED astropy/nddata/tests/test_ccddata.py::test_add_sub_overload[True-operand2-False-subtract-False] PASSED astropy/nddata/tests/test_ccddata.py::test_add_sub_overload[False-2.0-UnitsError-add-False] PASSED astropy/nddata/tests/test_ccddata.py::test_add_sub_overload[False-2.0-UnitsError-subtract-False] PASSED astropy/nddata/tests/test_ccddata.py::test_add_sub_overload[False-operand1-UnitsError-add-False] PASSED astropy/nddata/tests/test_ccddata.py::test_add_sub_overload[False-operand1-UnitsError-subtract-False] PASSED astropy/nddata/tests/test_ccddata.py::test_add_sub_overload[False-operand2-False-add-False] PASSED astropy/nddata/tests/test_ccddata.py::test_add_sub_overload[False-operand2-False-subtract-False] PASSED astropy/nddata/tests/test_ccddata.py::test_arithmetic_overload_fails PASSED astropy/nddata/tests/test_ccddata.py::test_arithmetic_no_wcs_compare PASSED astropy/nddata/tests/test_ccddata.py::test_arithmetic_with_wcs_compare PASSED astropy/nddata/tests/test_ccddata.py::test_arithmetic_with_wcs_compare_fail PASSED astropy/nddata/tests/test_ccddata.py::test_arithmetic_overload_ccddata_operand PASSED astropy/nddata/tests/test_ccddata.py::test_arithmetic_overload_differing_units PASSED astropy/nddata/tests/test_ccddata.py::test_arithmetic_add_with_array PASSED astropy/nddata/tests/test_ccddata.py::test_arithmetic_subtract_with_array PASSED astropy/nddata/tests/test_ccddata.py::test_arithmetic_multiply_with_array PASSED astropy/nddata/tests/test_ccddata.py::test_arithmetic_divide_with_array PASSED astropy/nddata/tests/test_ccddata.py::test_history_preserved_if_metadata_is_fits_header PASSED astropy/nddata/tests/test_ccddata.py::test_infol_logged_if_unit_in_fits_header PASSED astropy/nddata/tests/test_ccddata.py::test_wcs_attribute PASSED astropy/nddata/tests/test_ccddata.py::test_wcs_keywords_removed_from_header PASSED astropy/nddata/tests/test_ccddata.py::test_wcs_keyword_removal_for_wcs_test_files PASSED astropy/nddata/tests/test_ccddata.py::test_header PASSED astropy/nddata/tests/test_ccddata.py::test_wcs_arithmetic PASSED astropy/nddata/tests/test_ccddata.py::test_wcs_arithmetic_ccd[multiply] PASSED astropy/nddata/tests/test_ccddata.py::test_wcs_arithmetic_ccd[divide] PASSED astropy/nddata/tests/test_ccddata.py::test_wcs_arithmetic_ccd[add] PASSED astropy/nddata/tests/test_ccddata.py::test_wcs_arithmetic_ccd[subtract] PASSED astropy/nddata/tests/test_ccddata.py::test_wcs_sip_handling PASSED astropy/nddata/tests/test_ccddata.py::test_mask_arithmetic_ccd[multiply] PASSED astropy/nddata/tests/test_ccddata.py::test_mask_arithmetic_ccd[divide] PASSED astropy/nddata/tests/test_ccddata.py::test_mask_arithmetic_ccd[add] PASSED astropy/nddata/tests/test_ccddata.py::test_mask_arithmetic_ccd[subtract] PASSED astropy/nddata/tests/test_ccddata.py::test_write_read_multiextensionfits_mask_default PASSED astropy/nddata/tests/test_ccddata.py::test_write_read_multiextensionfits_uncertainty_default PASSED astropy/nddata/tests/test_ccddata.py::test_write_read_multiextensionfits_not PASSED astropy/nddata/tests/test_ccddata.py::test_write_read_multiextensionfits_custom_ext_names PASSED astropy/nddata/tests/test_ccddata.py::test_wcs PASSED astropy/nddata/tests/test_ccddata.py::test_recognized_fits_formats_for_read_write PASSED astropy/nddata/tests/test_ccddata.py::test_stddevuncertainty_compat_descriptor_no_parent PASSED astropy/nddata/tests/test_ccddata.py::test_stddevuncertainty_compat_descriptor_no_weakref PASSED astropy/nddata/tests/test_compat.py::test_nddataarray_has_attributes_of_old_nddata PASSED astropy/nddata/tests/test_compat.py::test_nddata_simple PASSED astropy/nddata/tests/test_compat.py::test_nddata_parameters PASSED astropy/nddata/tests/test_compat.py::test_nddata_conversion PASSED astropy/nddata/tests/test_compat.py::test_nddata_flags_init_without_np_array[flags_in0] PASSED astropy/nddata/tests/test_compat.py::test_nddata_flags_init_without_np_array[flags_in1] PASSED astropy/nddata/tests/test_compat.py::test_nddata_flags_init_without_np_array[flags_in2] PASSED astropy/nddata/tests/test_compat.py::test_nddata_flags_init_without_np_array[flags_in3] PASSED astropy/nddata/tests/test_compat.py::test_nddata_flags_init_without_np_array[flags_in4] PASSED astropy/nddata/tests/test_compat.py::test_nddata_flags_init_without_np_array[flags_in5] PASSED astropy/nddata/tests/test_compat.py::test_nddata_flags_invalid_shape[shape0] PASSED astropy/nddata/tests/test_compat.py::test_nddata_flags_invalid_shape[shape1] PASSED astropy/nddata/tests/test_compat.py::test_nddata_flags_invalid_shape[shape2] PASSED astropy/nddata/tests/test_compat.py::test_convert_unit_to PASSED astropy/nddata/tests/test_compat.py::test_init_of_subclass_in_convert_unit_to PASSED astropy/nddata/tests/test_compat.py::test_nddataarray_from_nddataarray PASSED astropy/nddata/tests/test_compat.py::test_nddataarray_from_nddata PASSED astropy/nddata/tests/test_decorators.py::test_pass_numpy PASSED astropy/nddata/tests/test_decorators.py::test_pass_all_separate PASSED astropy/nddata/tests/test_decorators.py::test_pass_nddata PASSED astropy/nddata/tests/test_decorators.py::test_pass_nddata_and_explicit PASSED astropy/nddata/tests/test_decorators.py::test_pass_nddata_ignored PASSED astropy/nddata/tests/test_decorators.py::test_incorrect_first_argument PASSED astropy/nddata/tests/test_decorators.py::test_wrap_function_no_kwargs PASSED astropy/nddata/tests/test_decorators.py::test_wrap_function_repack_valid PASSED astropy/nddata/tests/test_decorators.py::test_wrap_function_accepts PASSED astropy/nddata/tests/test_decorators.py::test_wrap_preserve_signature_docstring PASSED astropy/nddata/tests/test_decorators.py::test_setup_failures1 PASSED astropy/nddata/tests/test_decorators.py::test_setup_failures2 PASSED astropy/nddata/tests/test_decorators.py::test_setup_failures9 PASSED astropy/nddata/tests/test_decorators.py::test_setup_failures3 PASSED astropy/nddata/tests/test_decorators.py::test_setup_failures4 PASSED astropy/nddata/tests/test_decorators.py::test_setup_failures10 PASSED astropy/nddata/tests/test_decorators.py::test_setup_failures5 PASSED astropy/nddata/tests/test_decorators.py::test_setup_failures6 PASSED astropy/nddata/tests/test_decorators.py::test_setup_failures7 PASSED astropy/nddata/tests/test_decorators.py::test_setup_failures8 PASSED astropy/nddata/tests/test_decorators.py::test_setup_failures11 PASSED astropy/nddata/tests/test_decorators.py::test_setup_numpyarray_default PASSED astropy/nddata/tests/test_decorators.py::test_still_accepts_other_input PASSED astropy/nddata/tests/test_decorators.py::test_accepting_property_normal PASSED astropy/nddata/tests/test_decorators.py::test_parameter_default_identical_to_explicit_passed_argument PASSED astropy/nddata/tests/test_decorators.py::test_accepting_property_notexist PASSED astropy/nddata/tests/test_decorators.py::test_accepting_property_translated PASSED astropy/nddata/tests/test_decorators.py::test_accepting_property_meta_empty PASSED astropy/nddata/tests/test_flag_collection.py::test_init PASSED astropy/nddata/tests/test_flag_collection.py::test_init_noshape PASSED astropy/nddata/tests/test_flag_collection.py::test_init_notiterable PASSED astropy/nddata/tests/test_flag_collection.py::test_setitem PASSED astropy/nddata/tests/test_flag_collection.py::test_setitem_invalid_type[1] PASSED astropy/nddata/tests/test_flag_collection.py::test_setitem_invalid_type[1.0] PASSED astropy/nddata/tests/test_flag_collection.py::test_setitem_invalid_type[spam] PASSED astropy/nddata/tests/test_flag_collection.py::test_setitem_invalid_type[value3] PASSED astropy/nddata/tests/test_flag_collection.py::test_setitem_invalid_type[value4] PASSED astropy/nddata/tests/test_flag_collection.py::test_setitem_invalid_shape PASSED astropy/nddata/tests/test_flag_collection.py::test_init PASSED astropy/nddata/tests/test_flag_collection.py::test_init_noshape PASSED astropy/nddata/tests/test_flag_collection.py::test_init_notiterable PASSED astropy/nddata/tests/test_flag_collection.py::test_setitem PASSED astropy/nddata/tests/test_flag_collection.py::test_setitem_invalid_type[1] PASSED astropy/nddata/tests/test_flag_collection.py::test_setitem_invalid_type[1.0] PASSED astropy/nddata/tests/test_flag_collection.py::test_setitem_invalid_type[spam] PASSED astropy/nddata/tests/test_flag_collection.py::test_setitem_invalid_type[value3] PASSED astropy/nddata/tests/test_flag_collection.py::test_setitem_invalid_type[value4] PASSED astropy/nddata/tests/test_flag_collection.py::test_setitem_invalid_shape PASSED astropy/nddata/tests/test_nddata.py::test_uncertainty_setter PASSED astropy/nddata/tests/test_nddata.py::test_mask_setter PASSED astropy/nddata/tests/test_nddata.py::test_nddata_empty PASSED astropy/nddata/tests/test_nddata.py::test_nddata_init_data_nonarray PASSED astropy/nddata/tests/test_nddata.py::test_nddata_init_data_ndarray PASSED astropy/nddata/tests/test_nddata.py::test_nddata_init_data_maskedarray PASSED astropy/nddata/tests/test_nddata.py::test_nddata_init_data_quantity[data0] PASSED astropy/nddata/tests/test_nddata.py::test_nddata_init_data_quantity[5] PASSED astropy/nddata/tests/test_nddata.py::test_nddata_init_data_masked_quantity PASSED astropy/nddata/tests/test_nddata.py::test_nddata_init_data_nddata PASSED astropy/nddata/tests/test_nddata.py::test_nddata_init_data_nddata_subclass PASSED astropy/nddata/tests/test_nddata.py::test_nddata_init_data_fail PASSED astropy/nddata/tests/test_nddata.py::test_nddata_init_data_fakes PASSED astropy/nddata/tests/test_nddata.py::test_param_uncertainty PASSED astropy/nddata/tests/test_nddata.py::test_param_wcs PASSED astropy/nddata/tests/test_nddata.py::test_param_meta PASSED astropy/nddata/tests/test_nddata.py::test_param_mask PASSED astropy/nddata/tests/test_nddata.py::test_param_unit PASSED astropy/nddata/tests/test_nddata.py::TestMetaNDData::test_none <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/nddata/tests/test_nddata.py::TestMetaNDData::test_mapping_init[meta0] <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/nddata/tests/test_nddata.py::TestMetaNDData::test_mapping_init[meta1] <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/nddata/tests/test_nddata.py::TestMetaNDData::test_mapping_init[meta2] <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/nddata/tests/test_nddata.py::TestMetaNDData::test_non_mapping_init[ceci n'est pas un meta] <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/nddata/tests/test_nddata.py::TestMetaNDData::test_non_mapping_init[1.2] <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/nddata/tests/test_nddata.py::TestMetaNDData::test_non_mapping_init[meta2] <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/nddata/tests/test_nddata.py::TestMetaNDData::test_mapping_set[meta0] <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/nddata/tests/test_nddata.py::TestMetaNDData::test_mapping_set[meta1] <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/nddata/tests/test_nddata.py::TestMetaNDData::test_mapping_set[meta2] <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/nddata/tests/test_nddata.py::TestMetaNDData::test_non_mapping_set[ceci n'est pas un meta] <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/nddata/tests/test_nddata.py::TestMetaNDData::test_non_mapping_set[1.2] <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/nddata/tests/test_nddata.py::TestMetaNDData::test_non_mapping_set[meta2] <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/nddata/tests/test_nddata.py::TestMetaNDData::test_meta_fits_header <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/nddata/tests/test_nddata.py::test_nddata_str PASSED astropy/nddata/tests/test_nddata.py::test_nddata_repr PASSED astropy/nddata/tests/test_nddata.py::test_slicing_not_supported PASSED astropy/nddata/tests/test_nddata.py::test_arithmetic_not_supported PASSED astropy/nddata/tests/test_nddata.py::test_uncertainty_setter PASSED astropy/nddata/tests/test_nddata.py::test_mask_setter PASSED astropy/nddata/tests/test_nddata.py::test_nddata_empty PASSED astropy/nddata/tests/test_nddata.py::test_nddata_init_data_nonarray PASSED astropy/nddata/tests/test_nddata.py::test_nddata_init_data_ndarray PASSED astropy/nddata/tests/test_nddata.py::test_nddata_init_data_maskedarray PASSED astropy/nddata/tests/test_nddata.py::test_nddata_init_data_quantity[data0] PASSED astropy/nddata/tests/test_nddata.py::test_nddata_init_data_quantity[5] PASSED astropy/nddata/tests/test_nddata.py::test_nddata_init_data_masked_quantity PASSED astropy/nddata/tests/test_nddata.py::test_nddata_init_data_nddata PASSED astropy/nddata/tests/test_nddata.py::test_nddata_init_data_nddata_subclass PASSED astropy/nddata/tests/test_nddata.py::test_nddata_init_data_fail PASSED astropy/nddata/tests/test_nddata.py::test_nddata_init_data_fakes PASSED astropy/nddata/tests/test_nddata.py::test_param_uncertainty PASSED astropy/nddata/tests/test_nddata.py::test_param_wcs PASSED astropy/nddata/tests/test_nddata.py::test_param_meta PASSED astropy/nddata/tests/test_nddata.py::test_param_mask PASSED astropy/nddata/tests/test_nddata.py::test_param_unit PASSED astropy/nddata/tests/test_nddata.py::TestMetaNDData::test_none <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/nddata/tests/test_nddata.py::TestMetaNDData::test_mapping_init[meta0] <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/nddata/tests/test_nddata.py::TestMetaNDData::test_mapping_init[meta1] <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/nddata/tests/test_nddata.py::TestMetaNDData::test_mapping_init[meta2] <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/nddata/tests/test_nddata.py::TestMetaNDData::test_non_mapping_init[ceci n'est pas un meta] <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/nddata/tests/test_nddata.py::TestMetaNDData::test_non_mapping_init[1.2] <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/nddata/tests/test_nddata.py::TestMetaNDData::test_non_mapping_init[meta2] <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/nddata/tests/test_nddata.py::TestMetaNDData::test_mapping_set[meta0] <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/nddata/tests/test_nddata.py::TestMetaNDData::test_mapping_set[meta1] <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/nddata/tests/test_nddata.py::TestMetaNDData::test_mapping_set[meta2] <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/nddata/tests/test_nddata.py::TestMetaNDData::test_non_mapping_set[ceci n'est pas un meta] <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/nddata/tests/test_nddata.py::TestMetaNDData::test_non_mapping_set[1.2] <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/nddata/tests/test_nddata.py::TestMetaNDData::test_non_mapping_set[meta2] <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/nddata/tests/test_nddata.py::TestMetaNDData::test_meta_fits_header <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/nddata/tests/test_nddata.py::test_nddata_str PASSED astropy/nddata/tests/test_nddata.py::test_nddata_repr PASSED astropy/nddata/tests/test_nddata.py::test_slicing_not_supported PASSED astropy/nddata/tests/test_nddata.py::test_arithmetic_not_supported PASSED astropy/nddata/tests/test_nddata_base.py::test_nddata_base_subclass PASSED astropy/nddata/tests/test_nduncertainty.py::test_init_fake_with_list[FakeUncertainty] PASSED astropy/nddata/tests/test_nduncertainty.py::test_init_fake_with_list[StdDevUncertainty] PASSED astropy/nddata/tests/test_nduncertainty.py::test_init_fake_with_list[UnknownUncertainty] PASSED astropy/nddata/tests/test_nduncertainty.py::test_init_fake_with_ndarray[FakeUncertainty] PASSED astropy/nddata/tests/test_nduncertainty.py::test_init_fake_with_ndarray[StdDevUncertainty] PASSED astropy/nddata/tests/test_nduncertainty.py::test_init_fake_with_ndarray[UnknownUncertainty] PASSED astropy/nddata/tests/test_nduncertainty.py::test_init_fake_with_quantity[FakeUncertainty] PASSED astropy/nddata/tests/test_nduncertainty.py::test_init_fake_with_quantity[StdDevUncertainty] PASSED astropy/nddata/tests/test_nduncertainty.py::test_init_fake_with_quantity[UnknownUncertainty] PASSED astropy/nddata/tests/test_nduncertainty.py::test_init_fake_with_fake[FakeUncertainty] PASSED astropy/nddata/tests/test_nduncertainty.py::test_init_fake_with_fake[StdDevUncertainty] PASSED astropy/nddata/tests/test_nduncertainty.py::test_init_fake_with_fake[UnknownUncertainty] PASSED astropy/nddata/tests/test_nduncertainty.py::test_init_fake_with_somethingElse[FakeUncertainty] PASSED astropy/nddata/tests/test_nduncertainty.py::test_init_fake_with_somethingElse[StdDevUncertainty] PASSED astropy/nddata/tests/test_nduncertainty.py::test_init_fake_with_somethingElse[UnknownUncertainty] PASSED astropy/nddata/tests/test_nduncertainty.py::test_init_fake_with_StdDevUncertainty PASSED astropy/nddata/tests/test_nduncertainty.py::test_uncertainty_type PASSED astropy/nddata/tests/test_nduncertainty.py::test_uncertainty_correlated PASSED astropy/nddata/tests/test_nduncertainty.py::test_for_leak_with_uncertainty PASSED astropy/nddata/tests/test_nduncertainty.py::test_for_stolen_uncertainty PASSED astropy/nddata/tests/test_nduncertainty.py::test_init_fake_with_list[FakeUncertainty] PASSED astropy/nddata/tests/test_nduncertainty.py::test_init_fake_with_list[StdDevUncertainty] PASSED astropy/nddata/tests/test_nduncertainty.py::test_init_fake_with_list[UnknownUncertainty] PASSED astropy/nddata/tests/test_nduncertainty.py::test_init_fake_with_ndarray[FakeUncertainty] PASSED astropy/nddata/tests/test_nduncertainty.py::test_init_fake_with_ndarray[StdDevUncertainty] PASSED astropy/nddata/tests/test_nduncertainty.py::test_init_fake_with_ndarray[UnknownUncertainty] PASSED astropy/nddata/tests/test_nduncertainty.py::test_init_fake_with_quantity[FakeUncertainty] PASSED astropy/nddata/tests/test_nduncertainty.py::test_init_fake_with_quantity[StdDevUncertainty] PASSED astropy/nddata/tests/test_nduncertainty.py::test_init_fake_with_quantity[UnknownUncertainty] PASSED astropy/nddata/tests/test_nduncertainty.py::test_init_fake_with_fake[FakeUncertainty] PASSED astropy/nddata/tests/test_nduncertainty.py::test_init_fake_with_fake[StdDevUncertainty] PASSED astropy/nddata/tests/test_nduncertainty.py::test_init_fake_with_fake[UnknownUncertainty] PASSED astropy/nddata/tests/test_nduncertainty.py::test_init_fake_with_somethingElse[FakeUncertainty] PASSED astropy/nddata/tests/test_nduncertainty.py::test_init_fake_with_somethingElse[StdDevUncertainty] PASSED astropy/nddata/tests/test_nduncertainty.py::test_init_fake_with_somethingElse[UnknownUncertainty] PASSED astropy/nddata/tests/test_nduncertainty.py::test_init_fake_with_StdDevUncertainty PASSED astropy/nddata/tests/test_nduncertainty.py::test_uncertainty_type PASSED astropy/nddata/tests/test_nduncertainty.py::test_uncertainty_correlated PASSED astropy/nddata/tests/test_nduncertainty.py::test_for_leak_with_uncertainty PASSED astropy/nddata/tests/test_nduncertainty.py::test_for_stolen_uncertainty PASSED astropy/nddata/tests/test_utils.py::test_slices_different_dim PASSED astropy/nddata/tests/test_utils.py::test_slices_pos_different_dim PASSED astropy/nddata/tests/test_utils.py::test_slices_no_overlap[pos0] PASSED astropy/nddata/tests/test_utils.py::test_slices_no_overlap[pos1] PASSED astropy/nddata/tests/test_utils.py::test_slices_no_overlap[pos2] PASSED astropy/nddata/tests/test_utils.py::test_slices_no_overlap[pos3] PASSED astropy/nddata/tests/test_utils.py::test_slices_partial_overlap PASSED astropy/nddata/tests/test_utils.py::test_slices_overlap_wrong_mode PASSED astropy/nddata/tests/test_utils.py::test_extract_array_wrong_mode PASSED astropy/nddata/tests/test_utils.py::test_extract_array_1d_even PASSED astropy/nddata/tests/test_utils.py::test_extract_array_1d_odd PASSED astropy/nddata/tests/test_utils.py::test_extract_array_1d PASSED astropy/nddata/tests/test_utils.py::test_extract_Array_float PASSED astropy/nddata/tests/test_utils.py::test_extract_array_1d_trim PASSED astropy/nddata/tests/test_utils.py::test_extract_array_easy[partial] PASSED astropy/nddata/tests/test_utils.py::test_extract_array_easy[trim] PASSED astropy/nddata/tests/test_utils.py::test_extract_array_easy[strict] PASSED astropy/nddata/tests/test_utils.py::test_extract_array_return_pos PASSED astropy/nddata/tests/test_utils.py::test_add_array_odd_shape PASSED astropy/nddata/tests/test_utils.py::test_add_array_even_shape PASSED astropy/nddata/tests/test_utils.py::test_subpixel_indices[position0-subpixel_index0] PASSED astropy/nddata/tests/test_utils.py::test_subpixel_indices[position1-subpixel_index1] PASSED astropy/nddata/tests/test_utils.py::test_subpixel_indices[position2-subpixel_index2] PASSED astropy/nddata/tests/test_utils.py::test_subpixel_indices[position3-subpixel_index3] PASSED astropy/nddata/tests/test_utils.py::test_subpixel_indices[position4-subpixel_index4] PASSED astropy/nddata/tests/test_utils.py::test_subpixel_indices[position5-subpixel_index5] PASSED astropy/nddata/tests/test_utils.py::TestBlockReduce::test_1d SKIPPED astropy/nddata/tests/test_utils.py::TestBlockReduce::test_1d_mean SKIPPED astropy/nddata/tests/test_utils.py::TestBlockReduce::test_2d SKIPPED astropy/nddata/tests/test_utils.py::TestBlockReduce::test_2d_mean SKIPPED astropy/nddata/tests/test_utils.py::TestBlockReduce::test_2d_trim SKIPPED astropy/nddata/tests/test_utils.py::TestBlockReduce::test_block_size_broadcasting SKIPPED astropy/nddata/tests/test_utils.py::TestBlockReduce::test_block_size_len SKIPPED astropy/nddata/tests/test_utils.py::TestBlockReplicate::test_1d SKIPPED astropy/nddata/tests/test_utils.py::TestBlockReplicate::test_1d_conserve_sum SKIPPED astropy/nddata/tests/test_utils.py::TestBlockReplicate::test_2d SKIPPED astropy/nddata/tests/test_utils.py::TestBlockReplicate::test_2d_conserve_sum SKIPPED astropy/nddata/tests/test_utils.py::TestBlockReplicate::test_block_size_broadcasting SKIPPED astropy/nddata/tests/test_utils.py::TestBlockReplicate::test_block_size_len SKIPPED astropy/nddata/tests/test_utils.py::TestCutout2D::test_cutout PASSED astropy/nddata/tests/test_utils.py::TestCutout2D::test_size_length PASSED astropy/nddata/tests/test_utils.py::TestCutout2D::test_size_units PASSED astropy/nddata/tests/test_utils.py::TestCutout2D::test_size_pixel PASSED astropy/nddata/tests/test_utils.py::TestCutout2D::test_size_angle PASSED astropy/nddata/tests/test_utils.py::TestCutout2D::test_size_angle_without_wcs PASSED astropy/nddata/tests/test_utils.py::TestCutout2D::test_cutout_trim_overlap PASSED astropy/nddata/tests/test_utils.py::TestCutout2D::test_cutout_partial_overlap PASSED astropy/nddata/tests/test_utils.py::TestCutout2D::test_cutout_partial_overlap_fill_value PASSED astropy/nddata/tests/test_utils.py::TestCutout2D::test_copy PASSED astropy/nddata/tests/test_utils.py::TestCutout2D::test_to_from_large PASSED astropy/nddata/tests/test_utils.py::TestCutout2D::test_skycoord_without_wcs PASSED astropy/nddata/tests/test_utils.py::TestCutout2D::test_skycoord PASSED astropy/nddata/tests/test_utils.py::TestCutout2D::test_skycoord_partial PASSED astropy/samp/tests/test_client.py::test_SAMPHubProxy PASSED astropy/samp/tests/test_client.py::test_SAMPClient PASSED astropy/samp/tests/test_client.py::test_SAMPIntegratedClient PASSED astropy/samp/tests/test_client.py::test_reconnect PASSED astropy/samp/tests/test_errors.py::test_SAMPHubError PASSED astropy/samp/tests/test_errors.py::test_SAMPClientError PASSED astropy/samp/tests/test_errors.py::test_SAMPProxyError PASSED astropy/samp/tests/test_hub.py::test_SAMPHubServer PASSED astropy/samp/tests/test_hub.py::test_SAMPHubServer_run PASSED astropy/samp/tests/test_hub.py::test_SAMPHubServer_run_repeated PASSED astropy/samp/tests/test_hub_proxy.py::TestHubProxy::test_is_connected PASSED astropy/samp/tests/test_hub_proxy.py::TestHubProxy::test_disconnect PASSED astropy/samp/tests/test_hub_proxy.py::TestHubProxy::test_ping PASSED astropy/samp/tests/test_hub_proxy.py::TestHubProxy::test_registration PASSED astropy/samp/tests/test_hub_proxy.py::test_custom_lockfile PASSED astropy/samp/tests/test_hub_script.py::test_hub_script PASSED astropy/samp/tests/test_standard_profile.py::TestStandardProfile::test_main PASSED astropy/samp/tests/test_web_profile.py::TestWebProfile::test_main <- lib.linux-x86_64-2.7/astropy/samp/tests/test_standard_profile.py PASSED astropy/samp/tests/test_web_profile.py::TestWebProfile::test_web_profile PASSED astropy/stats/bayesian_blocks.py::astropy.stats.bayesian_blocks.bayesian_blocks PASSED astropy/stats/biweight.py::astropy.stats.biweight.biweight_location PASSED astropy/stats/biweight.py::astropy.stats.biweight.biweight_midcorrelation PASSED astropy/stats/biweight.py::astropy.stats.biweight.biweight_midcovariance PASSED astropy/stats/biweight.py::astropy.stats.biweight.biweight_midvariance PASSED astropy/stats/biweight.py::astropy.stats.biweight.biweight_scale PASSED astropy/stats/circstats.py::astropy.stats.circstats.circcorrcoef PASSED astropy/stats/circstats.py::astropy.stats.circstats.circmean PASSED astropy/stats/circstats.py::astropy.stats.circstats.circmoment PASSED astropy/stats/circstats.py::astropy.stats.circstats.circvar PASSED astropy/stats/circstats.py::astropy.stats.circstats.rayleightest PASSED astropy/stats/circstats.py::astropy.stats.circstats.vonmisesmle PASSED astropy/stats/funcs.py::astropy.stats.funcs.bootstrap PASSED astropy/stats/funcs.py::astropy.stats.funcs.mad_std PASSED astropy/stats/funcs.py::astropy.stats.funcs.median_absolute_deviation PASSED astropy/stats/info_theory.py::astropy.stats.info_theory.akaike_info_criterion PASSED astropy/stats/info_theory.py::astropy.stats.info_theory.akaike_info_criterion_lsq PASSED astropy/stats/info_theory.py::astropy.stats.info_theory.bayesian_info_criterion PASSED astropy/stats/info_theory.py::astropy.stats.info_theory.bayesian_info_criterion_lsq PASSED astropy/stats/sigma_clipping.py::astropy.stats.sigma_clipping.SigmaClip PASSED astropy/stats/sigma_clipping.py::astropy.stats.sigma_clipping.sigma_clip PASSED astropy/stats/spatial.py::astropy.stats.spatial.RipleysKEstimator PASSED astropy/stats/lombscargle/core.py::astropy.stats.lombscargle.core.LombScargle PASSED astropy/stats/lombscargle/implementations/utils.py::astropy.stats.lombscargle.implementations.utils.extirpolate PASSED astropy/stats/lombscargle/implementations/tests/test_mle.py::test_design_matrix[True-None-1.0] PASSED astropy/stats/lombscargle/implementations/tests/test_mle.py::test_design_matrix[True-None-2] PASSED astropy/stats/lombscargle/implementations/tests/test_mle.py::test_design_matrix[True-2.0-1.0] PASSED astropy/stats/lombscargle/implementations/tests/test_mle.py::test_design_matrix[True-2.0-2] PASSED astropy/stats/lombscargle/implementations/tests/test_mle.py::test_design_matrix[False-None-1.0] PASSED astropy/stats/lombscargle/implementations/tests/test_mle.py::test_design_matrix[False-None-2] PASSED astropy/stats/lombscargle/implementations/tests/test_mle.py::test_design_matrix[False-2.0-1.0] PASSED astropy/stats/lombscargle/implementations/tests/test_mle.py::test_design_matrix[False-2.0-2] PASSED astropy/stats/lombscargle/implementations/tests/test_mle.py::test_multiterm_design_matrix[0] PASSED astropy/stats/lombscargle/implementations/tests/test_mle.py::test_multiterm_design_matrix[1] PASSED astropy/stats/lombscargle/implementations/tests/test_mle.py::test_multiterm_design_matrix[2] PASSED astropy/stats/lombscargle/implementations/tests/test_mle.py::test_multiterm_design_matrix[3] PASSED astropy/stats/lombscargle/implementations/tests/test_mle.py::test_exact_mle_fit[True-1-1] PASSED astropy/stats/lombscargle/implementations/tests/test_mle.py::test_exact_mle_fit[True-1-2] PASSED astropy/stats/lombscargle/implementations/tests/test_mle.py::test_exact_mle_fit[True-1-3] PASSED astropy/stats/lombscargle/implementations/tests/test_mle.py::test_exact_mle_fit[True-2-1] PASSED astropy/stats/lombscargle/implementations/tests/test_mle.py::test_exact_mle_fit[True-2-2] PASSED astropy/stats/lombscargle/implementations/tests/test_mle.py::test_exact_mle_fit[True-2-3] PASSED astropy/stats/lombscargle/implementations/tests/test_mle.py::test_exact_mle_fit[False-1-1] PASSED astropy/stats/lombscargle/implementations/tests/test_mle.py::test_exact_mle_fit[False-1-2] PASSED astropy/stats/lombscargle/implementations/tests/test_mle.py::test_exact_mle_fit[False-1-3] PASSED astropy/stats/lombscargle/implementations/tests/test_mle.py::test_exact_mle_fit[False-2-1] PASSED astropy/stats/lombscargle/implementations/tests/test_mle.py::test_exact_mle_fit[False-2-2] PASSED astropy/stats/lombscargle/implementations/tests/test_mle.py::test_exact_mle_fit[False-2-3] PASSED astropy/stats/lombscargle/implementations/tests/test_utils.py::test_bitceil[-1-2] PASSED astropy/stats/lombscargle/implementations/tests/test_utils.py::test_bitceil[-1-4] PASSED astropy/stats/lombscargle/implementations/tests/test_utils.py::test_bitceil[-1-8] PASSED astropy/stats/lombscargle/implementations/tests/test_utils.py::test_bitceil[-1-16] PASSED astropy/stats/lombscargle/implementations/tests/test_utils.py::test_bitceil[-1-32] PASSED astropy/stats/lombscargle/implementations/tests/test_utils.py::test_bitceil[-1-64] PASSED astropy/stats/lombscargle/implementations/tests/test_utils.py::test_bitceil[-1-128] PASSED astropy/stats/lombscargle/implementations/tests/test_utils.py::test_bitceil[-1-256] PASSED astropy/stats/lombscargle/implementations/tests/test_utils.py::test_bitceil[-1-512] PASSED astropy/stats/lombscargle/implementations/tests/test_utils.py::test_bitceil[-1-1024] PASSED astropy/stats/lombscargle/implementations/tests/test_utils.py::test_bitceil[-1-2048] PASSED astropy/stats/lombscargle/implementations/tests/test_utils.py::test_bitceil[0-2] PASSED astropy/stats/lombscargle/implementations/tests/test_utils.py::test_bitceil[0-4] PASSED astropy/stats/lombscargle/implementations/tests/test_utils.py::test_bitceil[0-8] PASSED astropy/stats/lombscargle/implementations/tests/test_utils.py::test_bitceil[0-16] PASSED astropy/stats/lombscargle/implementations/tests/test_utils.py::test_bitceil[0-32] PASSED astropy/stats/lombscargle/implementations/tests/test_utils.py::test_bitceil[0-64] PASSED astropy/stats/lombscargle/implementations/tests/test_utils.py::test_bitceil[0-128] PASSED astropy/stats/lombscargle/implementations/tests/test_utils.py::test_bitceil[0-256] PASSED astropy/stats/lombscargle/implementations/tests/test_utils.py::test_bitceil[0-512] PASSED astropy/stats/lombscargle/implementations/tests/test_utils.py::test_bitceil[0-1024] PASSED astropy/stats/lombscargle/implementations/tests/test_utils.py::test_bitceil[0-2048] PASSED astropy/stats/lombscargle/implementations/tests/test_utils.py::test_bitceil[1-2] PASSED astropy/stats/lombscargle/implementations/tests/test_utils.py::test_bitceil[1-4] PASSED astropy/stats/lombscargle/implementations/tests/test_utils.py::test_bitceil[1-8] PASSED astropy/stats/lombscargle/implementations/tests/test_utils.py::test_bitceil[1-16] PASSED astropy/stats/lombscargle/implementations/tests/test_utils.py::test_bitceil[1-32] PASSED astropy/stats/lombscargle/implementations/tests/test_utils.py::test_bitceil[1-64] PASSED astropy/stats/lombscargle/implementations/tests/test_utils.py::test_bitceil[1-128] PASSED astropy/stats/lombscargle/implementations/tests/test_utils.py::test_bitceil[1-256] PASSED astropy/stats/lombscargle/implementations/tests/test_utils.py::test_bitceil[1-512] PASSED astropy/stats/lombscargle/implementations/tests/test_utils.py::test_bitceil[1-1024] PASSED astropy/stats/lombscargle/implementations/tests/test_utils.py::test_bitceil[1-2048] PASSED astropy/stats/lombscargle/implementations/tests/test_utils.py::test_extirpolate[5-100] PASSED astropy/stats/lombscargle/implementations/tests/test_utils.py::test_extirpolate[5-None] PASSED astropy/stats/lombscargle/implementations/tests/test_utils.py::test_extirpolate_with_integers[5-100] PASSED astropy/stats/lombscargle/implementations/tests/test_utils.py::test_extirpolate_with_integers[5-None] PASSED astropy/stats/lombscargle/implementations/tests/test_utils.py::test_trig_sum[0.1-1-True-0] PASSED astropy/stats/lombscargle/implementations/tests/test_utils.py::test_trig_sum[0.1-1-True-1] PASSED astropy/stats/lombscargle/implementations/tests/test_utils.py::test_trig_sum[0.1-1-False-0] PASSED astropy/stats/lombscargle/implementations/tests/test_utils.py::test_trig_sum[0.1-1-False-1] PASSED astropy/stats/lombscargle/implementations/tests/test_utils.py::test_trig_sum[0.1-2-True-0] PASSED astropy/stats/lombscargle/implementations/tests/test_utils.py::test_trig_sum[0.1-2-True-1] PASSED astropy/stats/lombscargle/implementations/tests/test_utils.py::test_trig_sum[0.1-2-False-0] PASSED astropy/stats/lombscargle/implementations/tests/test_utils.py::test_trig_sum[0.1-2-False-1] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_autofrequency[1-1-None-None] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_autofrequency[1-1-None-1.0] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_autofrequency[1-1-5.0-None] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_autofrequency[1-1-5.0-1.0] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_autofrequency[1-10-None-None] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_autofrequency[1-10-None-1.0] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_autofrequency[1-10-5.0-None] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_autofrequency[1-10-5.0-1.0] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_autofrequency[5-1-None-None] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_autofrequency[5-1-None-1.0] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_autofrequency[5-1-5.0-None] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_autofrequency[5-1-5.0-1.0] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_autofrequency[5-10-None-None] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_autofrequency[5-10-None-1.0] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_autofrequency[5-10-5.0-None] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_autofrequency[5-10-5.0-1.0] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-True-True-True-True-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-True-True-True-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-True-True-True-True-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-True-True-True-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-True-True-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-True-True-True-True-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-True-True-True-False-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-True-True-True-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-True-True-True-False-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-True-True-True-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-True-True-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-True-True-True-False-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-True-True-False-True-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-True-True-False-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-True-True-False-True-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-True-True-False-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-True-True-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-True-True-False-True-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-True-True-False-False-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-True-True-False-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-True-True-False-False-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-True-True-False-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-True-True-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-True-True-False-False-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-True-False-True-True-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-True-False-True-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-True-False-True-True-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-True-False-True-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-True-False-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-True-False-True-True-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-True-False-True-False-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-True-False-True-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-True-False-True-False-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-True-False-True-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-True-False-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-True-False-True-False-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-True-False-False-True-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-True-False-False-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-True-False-False-True-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-True-False-False-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-True-False-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-True-False-False-True-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-True-False-False-False-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-True-False-False-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-True-False-False-False-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-True-False-False-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-True-False-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-True-False-False-False-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-False-True-True-True-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-False-True-True-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-False-True-True-True-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-False-True-True-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-False-True-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-False-True-True-True-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-False-True-True-False-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-False-True-True-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-False-True-True-False-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-False-True-True-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-False-True-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-False-True-True-False-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-False-True-False-True-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-False-True-False-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-False-True-False-True-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-False-True-False-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-False-True-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-False-True-False-True-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-False-True-False-False-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-False-True-False-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-False-True-False-False-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-False-True-False-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-False-True-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-False-True-False-False-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-False-False-True-True-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-False-False-True-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-False-False-True-True-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-False-False-True-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-False-False-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-False-False-True-True-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-False-False-True-False-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-False-False-True-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-False-False-True-False-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-False-False-True-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-False-False-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-False-False-True-False-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-False-False-False-True-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-False-False-False-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-False-False-False-True-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-False-False-False-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-False-False-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-False-False-False-True-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-False-False-False-False-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-False-False-False-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-False-False-False-False-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-False-False-False-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-False-False-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-False-False-False-False-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-True-True-True-True-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-True-True-True-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-True-True-True-True-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-True-True-True-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-True-True-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-True-True-True-True-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-True-True-True-False-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-True-True-True-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-True-True-True-False-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-True-True-True-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-True-True-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-True-True-True-False-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-True-True-False-True-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-True-True-False-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-True-True-False-True-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-True-True-False-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-True-True-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-True-True-False-True-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-True-True-False-False-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-True-True-False-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-True-True-False-False-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-True-True-False-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-True-True-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-True-True-False-False-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-True-False-True-True-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-True-False-True-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-True-False-True-True-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-True-False-True-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-True-False-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-True-False-True-True-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-True-False-True-False-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-True-False-True-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-True-False-True-False-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-True-False-True-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-True-False-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-True-False-True-False-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-True-False-False-True-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-True-False-False-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-True-False-False-True-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-True-False-False-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-True-False-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-True-False-False-True-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-True-False-False-False-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-True-False-False-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-True-False-False-False-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-True-False-False-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-True-False-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-True-False-False-False-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-False-True-True-True-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-False-True-True-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-False-True-True-True-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-False-True-True-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-False-True-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-False-True-True-True-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-False-True-True-False-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-False-True-True-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-False-True-True-False-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-False-True-True-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-False-True-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-False-True-True-False-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-False-True-False-True-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-False-True-False-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-False-True-False-True-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-False-True-False-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-False-True-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-False-True-False-True-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-False-True-False-False-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-False-True-False-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-False-True-False-False-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-False-True-False-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-False-True-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-False-True-False-False-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-False-False-True-True-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-False-False-True-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-False-False-True-True-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-False-False-True-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-False-False-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-False-False-True-True-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-False-False-True-False-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-False-False-True-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-False-False-True-False-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-False-False-True-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-False-False-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-False-False-True-False-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-False-False-False-True-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-False-False-False-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-False-False-False-True-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-False-False-False-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-False-False-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-False-False-False-True-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-False-False-False-False-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-False-False-False-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-False-False-False-False-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-False-False-False-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-False-False-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-False-False-False-False-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-True-True-True-True-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-True-True-True-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-True-True-True-True-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-True-True-True-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-True-True-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-True-True-True-True-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-True-True-True-False-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-True-True-True-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-True-True-True-False-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-True-True-True-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-True-True-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-True-True-True-False-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-True-True-False-True-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-True-True-False-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-True-True-False-True-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-True-True-False-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-True-True-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-True-True-False-True-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-True-True-False-False-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-True-True-False-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-True-True-False-False-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-True-True-False-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-True-True-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-True-True-False-False-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-True-False-True-True-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-True-False-True-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-True-False-True-True-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-True-False-True-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-True-False-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-True-False-True-True-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-True-False-True-False-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-True-False-True-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-True-False-True-False-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-True-False-True-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-True-False-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-True-False-True-False-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-True-False-False-True-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-True-False-False-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-True-False-False-True-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-True-False-False-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-True-False-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-True-False-False-True-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-True-False-False-False-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-True-False-False-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-True-False-False-False-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-True-False-False-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-True-False-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-True-False-False-False-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-False-True-True-True-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-False-True-True-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-False-True-True-True-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-False-True-True-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-False-True-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-False-True-True-True-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-False-True-True-False-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-False-True-True-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-False-True-True-False-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-False-True-True-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-False-True-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-False-True-True-False-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-False-True-False-True-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-False-True-False-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-False-True-False-True-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-False-True-False-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-False-True-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-False-True-False-True-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-False-True-False-False-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-False-True-False-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-False-True-False-False-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-False-True-False-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-False-True-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-False-True-False-False-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-False-False-True-True-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-False-False-True-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-False-False-True-True-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-False-False-True-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-False-False-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-False-False-True-True-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-False-False-True-False-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-False-False-True-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-False-False-True-False-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-False-False-True-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-False-False-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-False-False-True-False-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-False-False-False-True-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-False-False-False-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-False-False-False-True-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-False-False-False-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-False-False-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-False-False-False-True-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-False-False-False-False-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-False-False-False-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-False-False-False-False-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-False-False-False-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-False-False-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-False-False-False-False-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-True-True-True-True-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-True-True-True-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-True-True-True-True-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-True-True-True-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-True-True-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-True-True-True-True-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-True-True-True-False-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-True-True-True-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-True-True-True-False-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-True-True-True-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-True-True-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-True-True-True-False-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-True-True-False-True-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-True-True-False-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-True-True-False-True-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-True-True-False-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-True-True-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-True-True-False-True-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-True-True-False-False-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-True-True-False-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-True-True-False-False-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-True-True-False-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-True-True-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-True-True-False-False-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-True-False-True-True-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-True-False-True-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-True-False-True-True-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-True-False-True-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-True-False-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-True-False-True-True-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-True-False-True-False-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-True-False-True-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-True-False-True-False-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-True-False-True-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-True-False-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-True-False-True-False-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-True-False-False-True-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-True-False-False-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-True-False-False-True-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-True-False-False-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-True-False-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-True-False-False-True-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-True-False-False-False-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-True-False-False-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-True-False-False-False-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-True-False-False-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-True-False-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-True-False-False-False-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-False-True-True-True-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-False-True-True-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-False-True-True-True-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-False-True-True-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-False-True-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-False-True-True-True-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-False-True-True-False-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-False-True-True-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-False-True-True-False-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-False-True-True-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-False-True-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-False-True-True-False-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-False-True-False-True-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-False-True-False-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-False-True-False-True-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-False-True-False-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-False-True-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-False-True-False-True-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-False-True-False-False-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-False-True-False-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-False-True-False-False-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-False-True-False-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-False-True-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-False-True-False-False-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-False-False-True-True-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-False-False-True-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-False-False-True-True-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-False-False-True-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-False-False-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-False-False-True-True-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-False-False-True-False-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-False-False-True-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-False-False-True-False-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-False-False-True-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-False-False-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-False-False-True-False-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-False-False-False-True-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-False-False-False-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-False-False-False-True-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-False-False-False-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-False-False-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-False-False-False-True-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-False-False-False-False-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-False-False-False-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-False-False-False-False-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-False-False-False-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-False-False-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-False-False-False-False-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[standard-True-True-True-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[standard-True-True-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[standard-True-True-True-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[standard-True-True-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[standard-True-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[standard-True-True-True-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[standard-True-True-False-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[standard-True-True-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[standard-True-True-False-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[standard-True-True-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[standard-True-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[standard-True-True-False-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[standard-True-False-True-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[standard-True-False-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[standard-True-False-True-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[standard-True-False-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[standard-True-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[standard-True-False-True-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[standard-True-False-False-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[standard-True-False-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[standard-True-False-False-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[standard-True-False-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[standard-True-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[standard-True-False-False-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[standard-False-True-True-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[standard-False-True-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[standard-False-True-True-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[standard-False-True-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[standard-False-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[standard-False-True-True-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[standard-False-True-False-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[standard-False-True-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[standard-False-True-False-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[standard-False-True-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[standard-False-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[standard-False-True-False-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[standard-False-False-True-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[standard-False-False-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[standard-False-False-True-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[standard-False-False-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[standard-False-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[standard-False-False-True-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[standard-False-False-False-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[standard-False-False-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[standard-False-False-False-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[standard-False-False-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[standard-False-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[standard-False-False-False-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[psd-True-True-True-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[psd-True-True-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[psd-True-True-True-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[psd-True-True-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[psd-True-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[psd-True-True-True-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[psd-True-True-False-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[psd-True-True-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[psd-True-True-False-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[psd-True-True-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[psd-True-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[psd-True-True-False-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[psd-True-False-True-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[psd-True-False-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[psd-True-False-True-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[psd-True-False-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[psd-True-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[psd-True-False-True-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[psd-True-False-False-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[psd-True-False-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[psd-True-False-False-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[psd-True-False-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[psd-True-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[psd-True-False-False-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[psd-False-True-True-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[psd-False-True-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[psd-False-True-True-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[psd-False-True-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[psd-False-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[psd-False-True-True-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[psd-False-True-False-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[psd-False-True-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[psd-False-True-False-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[psd-False-True-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[psd-False-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[psd-False-True-False-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[psd-False-False-True-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[psd-False-False-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[psd-False-False-True-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[psd-False-False-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[psd-False-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[psd-False-False-True-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[psd-False-False-False-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[psd-False-False-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[psd-False-False-False-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[psd-False-False-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[psd-False-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[psd-False-False-False-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[log-True-True-True-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[log-True-True-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[log-True-True-True-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[log-True-True-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[log-True-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[log-True-True-True-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[log-True-True-False-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[log-True-True-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[log-True-True-False-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[log-True-True-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[log-True-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[log-True-True-False-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[log-True-False-True-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[log-True-False-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[log-True-False-True-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[log-True-False-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[log-True-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[log-True-False-True-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[log-True-False-False-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[log-True-False-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[log-True-False-False-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[log-True-False-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[log-True-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[log-True-False-False-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[log-False-True-True-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[log-False-True-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[log-False-True-True-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[log-False-True-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[log-False-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[log-False-True-True-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[log-False-True-False-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[log-False-True-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[log-False-True-False-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[log-False-True-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[log-False-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[log-False-True-False-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[log-False-False-True-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[log-False-False-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[log-False-False-True-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[log-False-False-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[log-False-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[log-False-False-True-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[log-False-False-False-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[log-False-False-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[log-False-False-False-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[log-False-False-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[log-False-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[log-False-False-False-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[model-True-True-True-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[model-True-True-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[model-True-True-True-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[model-True-True-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[model-True-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[model-True-True-True-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[model-True-True-False-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[model-True-True-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[model-True-True-False-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[model-True-True-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[model-True-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[model-True-True-False-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[model-True-False-True-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[model-True-False-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[model-True-False-True-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[model-True-False-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[model-True-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[model-True-False-True-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[model-True-False-False-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[model-True-False-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[model-True-False-False-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[model-True-False-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[model-True-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[model-True-False-False-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[model-False-True-True-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[model-False-True-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[model-False-True-True-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[model-False-True-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[model-False-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[model-False-True-True-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[model-False-True-False-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[model-False-True-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[model-False-True-False-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[model-False-True-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[model-False-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[model-False-True-False-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[model-False-False-True-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[model-False-False-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[model-False-False-True-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[model-False-False-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[model-False-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[model-False-False-True-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[model-False-False-False-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[model-False-False-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[model-False-False-False-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[model-False-False-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[model-False-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[model-False-False-False-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[standard-0-True-True-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[standard-0-True-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[standard-0-True-True-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[standard-0-True-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[standard-0-True-False-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[standard-0-True-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[standard-0-True-False-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[standard-0-True-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[standard-0-False-True-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[standard-0-False-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[standard-0-False-True-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[standard-0-False-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[standard-0-False-False-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[standard-0-False-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[standard-0-False-False-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[standard-0-False-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[standard-2-True-True-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[standard-2-True-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[standard-2-True-True-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[standard-2-True-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[standard-2-True-False-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[standard-2-True-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[standard-2-True-False-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[standard-2-True-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[standard-2-False-True-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[standard-2-False-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[standard-2-False-True-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[standard-2-False-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[standard-2-False-False-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[standard-2-False-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[standard-2-False-False-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[standard-2-False-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[standard-4-True-True-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[standard-4-True-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[standard-4-True-True-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[standard-4-True-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[standard-4-True-False-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[standard-4-True-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[standard-4-True-False-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[standard-4-True-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[standard-4-False-True-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[standard-4-False-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[standard-4-False-True-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[standard-4-False-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[standard-4-False-False-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[standard-4-False-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[standard-4-False-False-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[standard-4-False-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[psd-0-True-True-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[psd-0-True-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[psd-0-True-True-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[psd-0-True-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[psd-0-True-False-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[psd-0-True-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[psd-0-True-False-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[psd-0-True-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[psd-0-False-True-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[psd-0-False-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[psd-0-False-True-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[psd-0-False-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[psd-0-False-False-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[psd-0-False-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[psd-0-False-False-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[psd-0-False-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[psd-2-True-True-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[psd-2-True-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[psd-2-True-True-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[psd-2-True-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[psd-2-True-False-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[psd-2-True-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[psd-2-True-False-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[psd-2-True-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[psd-2-False-True-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[psd-2-False-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[psd-2-False-True-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[psd-2-False-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[psd-2-False-False-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[psd-2-False-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[psd-2-False-False-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[psd-2-False-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[psd-4-True-True-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[psd-4-True-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[psd-4-True-True-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[psd-4-True-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[psd-4-True-False-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[psd-4-True-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[psd-4-True-False-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[psd-4-True-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[psd-4-False-True-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[psd-4-False-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[psd-4-False-True-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[psd-4-False-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[psd-4-False-False-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[psd-4-False-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[psd-4-False-False-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[psd-4-False-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[log-0-True-True-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[log-0-True-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[log-0-True-True-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[log-0-True-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[log-0-True-False-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[log-0-True-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[log-0-True-False-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[log-0-True-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[log-0-False-True-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[log-0-False-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[log-0-False-True-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[log-0-False-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[log-0-False-False-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[log-0-False-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[log-0-False-False-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[log-0-False-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[log-2-True-True-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[log-2-True-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[log-2-True-True-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[log-2-True-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[log-2-True-False-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[log-2-True-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[log-2-True-False-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[log-2-True-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[log-2-False-True-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[log-2-False-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[log-2-False-True-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[log-2-False-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[log-2-False-False-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[log-2-False-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[log-2-False-False-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[log-2-False-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[log-4-True-True-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[log-4-True-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[log-4-True-True-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[log-4-True-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[log-4-True-False-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[log-4-True-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[log-4-True-False-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[log-4-True-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[log-4-False-True-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[log-4-False-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[log-4-False-True-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[log-4-False-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[log-4-False-False-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[log-4-False-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[log-4-False-False-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[log-4-False-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[model-0-True-True-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[model-0-True-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[model-0-True-True-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[model-0-True-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[model-0-True-False-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[model-0-True-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[model-0-True-False-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[model-0-True-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[model-0-False-True-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[model-0-False-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[model-0-False-True-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[model-0-False-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[model-0-False-False-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[model-0-False-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[model-0-False-False-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[model-0-False-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[model-2-True-True-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[model-2-True-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[model-2-True-True-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[model-2-True-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[model-2-True-False-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[model-2-True-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[model-2-True-False-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[model-2-True-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[model-2-False-True-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[model-2-False-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[model-2-False-True-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[model-2-False-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[model-2-False-False-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[model-2-False-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[model-2-False-False-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[model-2-False-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[model-4-True-True-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[model-4-True-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[model-4-True-True-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[model-4-True-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[model-4-True-False-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[model-4-True-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[model-4-True-False-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[model-4-True-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[model-4-False-True-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[model-4-False-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[model-4-False-True-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[model-4-False-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[model-4-False-False-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[model-4-False-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[model-4-False-False-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[model-4-False-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_fast_approximations[0-True-True-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_fast_approximations[0-True-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_fast_approximations[0-True-True-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_fast_approximations[0-True-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_fast_approximations[0-True-False-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_fast_approximations[0-True-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_fast_approximations[0-True-False-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_fast_approximations[0-True-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_fast_approximations[0-False-True-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_fast_approximations[0-False-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_fast_approximations[0-False-True-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_fast_approximations[0-False-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_fast_approximations[0-False-False-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_fast_approximations[0-False-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_fast_approximations[0-False-False-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_fast_approximations[0-False-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_fast_approximations[1-True-True-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_fast_approximations[1-True-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_fast_approximations[1-True-True-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_fast_approximations[1-True-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_fast_approximations[1-True-False-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_fast_approximations[1-True-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_fast_approximations[1-True-False-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_fast_approximations[1-True-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_fast_approximations[1-False-True-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_fast_approximations[1-False-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_fast_approximations[1-False-True-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_fast_approximations[1-False-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_fast_approximations[1-False-False-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_fast_approximations[1-False-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_fast_approximations[1-False-False-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_fast_approximations[1-False-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_fast_approximations[2-True-True-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_fast_approximations[2-True-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_fast_approximations[2-True-True-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_fast_approximations[2-True-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_fast_approximations[2-True-False-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_fast_approximations[2-True-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_fast_approximations[2-True-False-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_fast_approximations[2-True-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_fast_approximations[2-False-True-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_fast_approximations[2-False-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_fast_approximations[2-False-True-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_fast_approximations[2-False-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_fast_approximations[2-False-False-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_fast_approximations[2-False-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_fast_approximations[2-False-False-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_fast_approximations[2-False-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_output_shapes[shape0-auto] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_output_shapes[shape0-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_output_shapes[shape0-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_output_shapes[shape0-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_output_shapes[shape0-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_output_shapes[shape0-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_output_shapes[shape0-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_output_shapes[shape1-auto] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_output_shapes[shape1-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_output_shapes[shape1-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_output_shapes[shape1-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_output_shapes[shape1-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_output_shapes[shape1-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_output_shapes[shape1-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_output_shapes[shape2-auto] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_output_shapes[shape2-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_output_shapes[shape2-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_output_shapes[shape2-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_output_shapes[shape2-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_output_shapes[shape2-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_output_shapes[shape2-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_output_shapes[shape3-auto] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_output_shapes[shape3-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_output_shapes[shape3-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_output_shapes[shape3-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_output_shapes[shape3-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_output_shapes[shape3-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_output_shapes[shape3-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_output_shapes[shape4-auto] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_output_shapes[shape4-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_output_shapes[shape4-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_output_shapes[shape4-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_output_shapes[shape4-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_output_shapes[shape4-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_output_shapes[shape4-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_errors_on_unit_mismatch[auto] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_errors_on_unit_mismatch[slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_errors_on_unit_mismatch[chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_errors_on_unit_mismatch[cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_errors_on_unit_mismatch[fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_errors_on_unit_mismatch[fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_errors_on_unit_mismatch[scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_unit_conversions[True-standard-True-True] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_unit_conversions[True-standard-True-False] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_unit_conversions[True-standard-False-True] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_unit_conversions[True-standard-False-False] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_unit_conversions[True-psd-True-True] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_unit_conversions[True-psd-True-False] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_unit_conversions[True-psd-False-True] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_unit_conversions[True-psd-False-False] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_unit_conversions[False-standard-True-True] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_unit_conversions[False-standard-True-False] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_unit_conversions[False-standard-False-True] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_unit_conversions[False-standard-False-False] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_unit_conversions[False-psd-True-True] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_unit_conversions[False-psd-True-False] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_unit_conversions[False-psd-False-True] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_unit_conversions[False-psd-False-False] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_model[1.0-True-True] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_model[1.0-True-False] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_model[1.0-False-True] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_model[1.0-False-False] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_model[2.0-True-True] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_model[2.0-True-False] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_model[2.0-False-True] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_model[2.0-False-False] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_model_units_match[y_unit0-frequency_unit0-t_unit0] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_model_units_match[y_unit0-frequency_unit0-t_unit1] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_model_units_match[y_unit0-frequency_unit1-t_unit0] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_model_units_match[y_unit0-frequency_unit1-t_unit1] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_model_units_match[y_unit1-frequency_unit0-t_unit0] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_model_units_match[y_unit1-frequency_unit0-t_unit1] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_model_units_match[y_unit1-frequency_unit1-t_unit0] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_model_units_match[y_unit1-frequency_unit1-t_unit1] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_model_units_mismatch PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_autopower PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_distribution[standard] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_distribution[psd] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_distribution[log] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_distribution[model] PASSED astropy/stats/tests/test_bayesian_blocks.py::test_single_change_point PASSED astropy/stats/tests/test_bayesian_blocks.py::test_duplicate_events PASSED astropy/stats/tests/test_bayesian_blocks.py::test_measures_fitness_homoscedastic PASSED astropy/stats/tests/test_bayesian_blocks.py::test_measures_fitness_heteroscedastic PASSED astropy/stats/tests/test_bayesian_blocks.py::test_regular_events PASSED astropy/stats/tests/test_bayesian_blocks.py::test_errors PASSED astropy/stats/tests/test_bayesian_blocks.py::test_fitness_function_results PASSED astropy/stats/tests/test_biweight.py::test_biweight_location PASSED astropy/stats/tests/test_biweight.py::test_biweight_location_small PASSED astropy/stats/tests/test_biweight.py::test_biweight_location_axis PASSED astropy/stats/tests/test_biweight.py::test_biweight_location_axis_3d PASSED astropy/stats/tests/test_biweight.py::test_biweight_scale PASSED astropy/stats/tests/test_biweight.py::test_biweight_midvariance PASSED astropy/stats/tests/test_biweight.py::test_biweight_midvariance_small PASSED astropy/stats/tests/test_biweight.py::test_biweight_midvariance_5127 PASSED astropy/stats/tests/test_biweight.py::test_biweight_midvariance_axis PASSED astropy/stats/tests/test_biweight.py::test_biweight_midvariance_axis_3d PASSED astropy/stats/tests/test_biweight.py::test_biweight_midcovariance_1d PASSED astropy/stats/tests/test_biweight.py::test_biweight_midcovariance_2d PASSED astropy/stats/tests/test_biweight.py::test_biweight_midcovariance_midvariance PASSED astropy/stats/tests/test_biweight.py::test_midcovariance_shape PASSED astropy/stats/tests/test_biweight.py::test_midcovariance_M_shape PASSED astropy/stats/tests/test_biweight.py::test_biweight_midcovariance_symmetric PASSED astropy/stats/tests/test_biweight.py::test_biweight_midcorrelation PASSED astropy/stats/tests/test_biweight.py::test_biweight_midcorrelation_inputs PASSED astropy/stats/tests/test_circstats.py::test__length PASSED astropy/stats/tests/test_circstats.py::test_circmean PASSED astropy/stats/tests/test_circstats.py::test_circmean_against_scipy PASSED astropy/stats/tests/test_circstats.py::test_circvar PASSED astropy/stats/tests/test_circstats.py::test_circmoment PASSED astropy/stats/tests/test_circstats.py::test_circcorrcoef PASSED astropy/stats/tests/test_circstats.py::test_rayleightest PASSED astropy/stats/tests/test_circstats.py::test_vtest PASSED astropy/stats/tests/test_circstats.py::test_vonmisesmle PASSED astropy/stats/tests/test_funcs.py::test_median_absolute_deviation PASSED astropy/stats/tests/test_funcs.py::test_median_absolute_deviation_masked PASSED astropy/stats/tests/test_funcs.py::test_median_absolute_deviation_nans PASSED astropy/stats/tests/test_funcs.py::test_median_absolute_deviation_multidim_axis PASSED astropy/stats/tests/test_funcs.py::test_median_absolute_deviation_quantity PASSED astropy/stats/tests/test_funcs.py::test_binom_conf_interval PASSED astropy/stats/tests/test_funcs.py::test_binned_binom_proportion PASSED astropy/stats/tests/test_funcs.py::test_signal_to_noise_oir_ccd PASSED astropy/stats/tests/test_funcs.py::test_bootstrap PASSED astropy/stats/tests/test_funcs.py::test_bootstrap_multiple_outputs PASSED astropy/stats/tests/test_funcs.py::test_mad_std PASSED astropy/stats/tests/test_funcs.py::test_mad_std_scalar_return xfail astropy/stats/tests/test_funcs.py::test_mad_std_warns PASSED astropy/stats/tests/test_funcs.py::test_mad_std_withnan PASSED astropy/stats/tests/test_funcs.py::test_mad_std_with_axis PASSED astropy/stats/tests/test_funcs.py::test_mad_std_with_axis_and_nan PASSED astropy/stats/tests/test_funcs.py::test_mad_std_with_axis_and_nan_array_type PASSED astropy/stats/tests/test_funcs.py::test_gaussian_fwhm_to_sigma PASSED astropy/stats/tests/test_funcs.py::test_gaussian_sigma_to_fwhm PASSED astropy/stats/tests/test_funcs.py::test_gaussian_sigma_to_fwhm_to_sigma PASSED astropy/stats/tests/test_funcs.py::test_poisson_conf_interval_rootn PASSED astropy/stats/tests/test_funcs.py::test_poisson_conf_large[root-n-0] PASSED astropy/stats/tests/test_funcs.py::test_poisson_conf_large[pearson] PASSED astropy/stats/tests/test_funcs.py::test_poisson_conf_large[sherpagehrels] PASSED astropy/stats/tests/test_funcs.py::test_poisson_conf_large[frequentist-confidence] PASSED astropy/stats/tests/test_funcs.py::test_poisson_conf_array_rootn0_zero PASSED astropy/stats/tests/test_funcs.py::test_poisson_conf_array_frequentist_confidence_zero PASSED astropy/stats/tests/test_funcs.py::test_poisson_conf_list_rootn0_zero PASSED astropy/stats/tests/test_funcs.py::test_poisson_conf_array_rootn0 PASSED astropy/stats/tests/test_funcs.py::test_poisson_conf_array_fc PASSED astropy/stats/tests/test_funcs.py::test_poisson_conf_frequentist_confidence_gehrels PASSED astropy/stats/tests/test_funcs.py::test_poisson_conf_frequentist_confidence_gehrels_2sigma PASSED astropy/stats/tests/test_funcs.py::test_poisson_conf_frequentist_confidence_gehrels_3sigma PASSED astropy/stats/tests/test_funcs.py::test_poisson_conf_gehrels86[0] PASSED astropy/stats/tests/test_funcs.py::test_poisson_conf_gehrels86[1] PASSED astropy/stats/tests/test_funcs.py::test_poisson_conf_gehrels86[2] PASSED astropy/stats/tests/test_funcs.py::test_poisson_conf_gehrels86[3] PASSED astropy/stats/tests/test_funcs.py::test_poisson_conf_gehrels86[10] PASSED astropy/stats/tests/test_funcs.py::test_poisson_conf_gehrels86[20] PASSED astropy/stats/tests/test_funcs.py::test_poisson_conf_gehrels86[100] PASSED astropy/stats/tests/test_funcs.py::test_scipy_poisson_limit PASSED astropy/stats/tests/test_funcs.py::test_mpmath_poisson_limit SKIPPED astropy/stats/tests/test_funcs.py::test_poisson_conf_value_errors PASSED astropy/stats/tests/test_funcs.py::test_poisson_conf_kbn_value_errors PASSED astropy/stats/tests/test_funcs.py::test_poisson_limit_nodependencies SKIPPED astropy/stats/tests/test_histogram.py::test_scott_bin_width PASSED astropy/stats/tests/test_histogram.py::test_freedman_bin_width PASSED astropy/stats/tests/test_histogram.py::test_knuth_bin_width PASSED astropy/stats/tests/test_histogram.py::test_knuth_histogram PASSED astropy/stats/tests/test_histogram.py::test_histogram PASSED astropy/stats/tests/test_histogram.py::test_histogram_range PASSED astropy/stats/tests/test_histogram.py::test_histogram_output_knuth PASSED astropy/stats/tests/test_histogram.py::test_histogram_output PASSED astropy/stats/tests/test_histogram.py::test_histogram_badargs PASSED astropy/stats/tests/test_info_theory.py::test_bayesian_info_criterion PASSED astropy/stats/tests/test_info_theory.py::test_akaike_info_criterion PASSED astropy/stats/tests/test_info_theory.py::test_akaike_info_criterion_lsq PASSED astropy/stats/tests/test_info_theory.py::test_bayesian_info_criterion_lsq PASSED astropy/stats/tests/test_jackknife.py::test_jackknife_resampling PASSED astropy/stats/tests/test_jackknife.py::test_jackknife_stats PASSED astropy/stats/tests/test_jackknife.py::test_jackknife_stats_conf_interval PASSED astropy/stats/tests/test_sigma_clipping.py::test_sigma_clip PASSED astropy/stats/tests/test_sigma_clipping.py::test_compare_to_scipy_sigmaclip PASSED astropy/stats/tests/test_sigma_clipping.py::test_sigma_clip_scalar_mask PASSED astropy/stats/tests/test_sigma_clipping.py::test_sigma_clip_class PASSED astropy/stats/tests/test_sigma_clipping.py::test_sigma_clipped_stats PASSED astropy/stats/tests/test_sigma_clipping.py::test_sigma_clipped_stats_ddof PASSED astropy/stats/tests/test_sigma_clipping.py::test_invalid_sigma_clip PASSED astropy/stats/tests/test_sigma_clipping.py::test_sigmaclip_negative_axis PASSED astropy/stats/tests/test_sigma_clipping.py::test_sigmaclip_fully_masked PASSED astropy/stats/tests/test_sigma_clipping.py::test_sigmaclip_empty_masked PASSED astropy/stats/tests/test_sigma_clipping.py::test_sigmaclip_empty PASSED astropy/stats/tests/test_spatial.py::test_ripley_K_implementation[points0-0-10] PASSED astropy/stats/tests/test_spatial.py::test_ripley_K_implementation[points1--5-5] PASSED astropy/stats/tests/test_spatial.py::test_ripley_uniform_property[points0] PASSED astropy/stats/tests/test_spatial.py::test_ripley_uniform_property[points1] PASSED astropy/stats/tests/test_spatial.py::test_ripley_large_density[points0-0-1] PASSED astropy/stats/tests/test_spatial.py::test_ripley_large_density[points1--1-0] PASSED astropy/stats/tests/test_spatial.py::test_ripley_modes[points0-5-10] PASSED astropy/stats/tests/test_spatial.py::test_ripley_modes[points1--10--5] PASSED astropy/stats/tests/test_spatial.py::test_ripley_large_density_var_width[points0-0-1] PASSED astropy/stats/tests/test_spatial.py::test_ripley_large_density_var_width[points1--1-0] PASSED astropy/stats/tests/test_spatial.py::test_ripley_var_width[points0-5-10] PASSED astropy/stats/tests/test_spatial.py::test_ripley_var_width[points1--10--5] PASSED astropy/table/info.py::astropy.table.info.TableInfo.__call__ PASSED astropy/table/info.py::astropy.table.info.table_info PASSED astropy/table/meta.py::astropy.table.meta._construct_odict SKIPPED astropy/table/meta.py::astropy.table.meta._repr_odict PASSED astropy/table/operations.py::astropy.table.operations.hstack PASSED astropy/table/operations.py::astropy.table.operations.unique PASSED astropy/table/operations.py::astropy.table.operations.vstack PASSED astropy/table/row.py::astropy.table.row.Row PASSED astropy/table/table.py::astropy.table.table.Table.add_column PASSED astropy/table/table.py::astropy.table.table.Table.add_columns PASSED astropy/table/table.py::astropy.table.table.Table.add_row PASSED astropy/table/table.py::astropy.table.table.Table.index_column PASSED astropy/table/table.py::astropy.table.table.Table.itercols PASSED astropy/table/table.py::astropy.table.table.Table.keep_columns PASSED astropy/table/table.py::astropy.table.table.Table.remove_column PASSED astropy/table/table.py::astropy.table.table.Table.remove_columns PASSED astropy/table/table.py::astropy.table.table.Table.remove_row PASSED astropy/table/table.py::astropy.table.table.Table.remove_rows PASSED astropy/table/table.py::astropy.table.table.Table.rename_column PASSED astropy/table/table.py::astropy.table.table.Table.replace_column PASSED astropy/table/table.py::astropy.table.table.Table.reverse PASSED astropy/table/table.py::astropy.table.table.Table.sort PASSED astropy/table/table_helpers.py::astropy.table.table_helpers.simple_table PASSED astropy/table/tests/test_array.py::test_array_find PASSED astropy/table/tests/test_array.py::test_array_range PASSED astropy/table/tests/test_array.py::test_wide_array PASSED astropy/table/tests/test_bst.py::test_bst_add PASSED astropy/table/tests/test_bst.py::test_bst_dimensions PASSED astropy/table/tests/test_bst.py::test_bst_find PASSED astropy/table/tests/test_bst.py::test_bst_traverse PASSED astropy/table/tests/test_bst.py::test_bst_remove PASSED astropy/table/tests/test_bst.py::test_bst_duplicate PASSED astropy/table/tests/test_bst.py::test_bst_range PASSED astropy/table/tests/test_column.py::TestColumn::test_subclass[Column] PASSED astropy/table/tests/test_column.py::TestColumn::test_subclass[MaskedColumn] PASSED astropy/table/tests/test_column.py::TestColumn::test_numpy_ops[Column] PASSED astropy/table/tests/test_column.py::TestColumn::test_numpy_ops[MaskedColumn] PASSED astropy/table/tests/test_column.py::TestColumn::test_numpy_boolean_ufuncs[Column] PASSED astropy/table/tests/test_column.py::TestColumn::test_numpy_boolean_ufuncs[MaskedColumn] PASSED astropy/table/tests/test_column.py::TestColumn::test_view[Column] PASSED astropy/table/tests/test_column.py::TestColumn::test_view[MaskedColumn] PASSED astropy/table/tests/test_column.py::TestColumn::test_format[Column] PASSED astropy/table/tests/test_column.py::TestColumn::test_format[MaskedColumn] PASSED astropy/table/tests/test_column.py::TestColumn::test_convert_numpy_array[Column] PASSED astropy/table/tests/test_column.py::TestColumn::test_convert_numpy_array[MaskedColumn] PASSED astropy/table/tests/test_column.py::TestColumn::test_convert_unit[Column] PASSED astropy/table/tests/test_column.py::TestColumn::test_convert_unit[MaskedColumn] PASSED astropy/table/tests/test_column.py::TestColumn::test_array_wrap PASSED astropy/table/tests/test_column.py::TestColumn::test_name_none[Column] PASSED astropy/table/tests/test_column.py::TestColumn::test_name_none[MaskedColumn] PASSED astropy/table/tests/test_column.py::TestColumn::test_quantity_init[Column] PASSED astropy/table/tests/test_column.py::TestColumn::test_quantity_init[MaskedColumn] PASSED astropy/table/tests/test_column.py::TestColumn::test_attrs_survive_getitem_after_change[Column] PASSED astropy/table/tests/test_column.py::TestColumn::test_attrs_survive_getitem_after_change[MaskedColumn] PASSED astropy/table/tests/test_column.py::TestColumn::test_to_quantity[Column] PASSED astropy/table/tests/test_column.py::TestColumn::test_to_quantity[MaskedColumn] PASSED astropy/table/tests/test_column.py::TestColumn::test_item_access_type[Column] PASSED astropy/table/tests/test_column.py::TestColumn::test_item_access_type[MaskedColumn] PASSED astropy/table/tests/test_column.py::TestColumn::test_insert_basic[Column] PASSED astropy/table/tests/test_column.py::TestColumn::test_insert_basic[MaskedColumn] PASSED astropy/table/tests/test_column.py::TestColumn::test_insert_axis[Column] PASSED astropy/table/tests/test_column.py::TestColumn::test_insert_axis[MaskedColumn] PASSED astropy/table/tests/test_column.py::TestColumn::test_insert_multidim[Column] PASSED astropy/table/tests/test_column.py::TestColumn::test_insert_multidim[MaskedColumn] PASSED astropy/table/tests/test_column.py::TestColumn::test_insert_object[Column] PASSED astropy/table/tests/test_column.py::TestColumn::test_insert_object[MaskedColumn] PASSED astropy/table/tests/test_column.py::TestColumn::test_insert_masked PASSED astropy/table/tests/test_column.py::TestColumn::test_insert_masked_multidim PASSED astropy/table/tests/test_column.py::TestColumn::test_mask_on_non_masked_table PASSED astropy/table/tests/test_column.py::TestAttrEqual::test_5[Column] PASSED astropy/table/tests/test_column.py::TestAttrEqual::test_5[MaskedColumn] PASSED astropy/table/tests/test_column.py::TestAttrEqual::test_6[Column] PASSED astropy/table/tests/test_column.py::TestAttrEqual::test_6[MaskedColumn] PASSED astropy/table/tests/test_column.py::TestAttrEqual::test_7[Column] PASSED astropy/table/tests/test_column.py::TestAttrEqual::test_7[MaskedColumn] PASSED astropy/table/tests/test_column.py::TestAttrEqual::test_8[Column] PASSED astropy/table/tests/test_column.py::TestAttrEqual::test_8[MaskedColumn] PASSED astropy/table/tests/test_column.py::TestAttrEqual::test_9[Column] PASSED astropy/table/tests/test_column.py::TestAttrEqual::test_9[MaskedColumn] PASSED astropy/table/tests/test_column.py::TestAttrEqual::test_10[Column] PASSED astropy/table/tests/test_column.py::TestAttrEqual::test_10[MaskedColumn] PASSED astropy/table/tests/test_column.py::TestAttrEqual::test_11[Column] PASSED astropy/table/tests/test_column.py::TestAttrEqual::test_11[MaskedColumn] PASSED astropy/table/tests/test_column.py::TestAttrEqual::test_12[Column] PASSED astropy/table/tests/test_column.py::TestAttrEqual::test_12[MaskedColumn] PASSED astropy/table/tests/test_column.py::TestAttrEqual::test_13[Column] PASSED astropy/table/tests/test_column.py::TestAttrEqual::test_13[MaskedColumn] PASSED astropy/table/tests/test_column.py::TestAttrEqual::test_col_and_masked_col PASSED astropy/table/tests/test_column.py::TestMetaColumn::test_none <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_column.py::TestMetaColumn::test_mapping_init[meta0] <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_column.py::TestMetaColumn::test_mapping_init[meta1] <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_column.py::TestMetaColumn::test_mapping_init[meta2] <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_column.py::TestMetaColumn::test_non_mapping_init[ceci n'est pas un meta] <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_column.py::TestMetaColumn::test_non_mapping_init[1.2] <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_column.py::TestMetaColumn::test_non_mapping_init[meta2] <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_column.py::TestMetaColumn::test_mapping_set[meta0] <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_column.py::TestMetaColumn::test_mapping_set[meta1] <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_column.py::TestMetaColumn::test_mapping_set[meta2] <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_column.py::TestMetaColumn::test_non_mapping_set[ceci n'est pas un meta] <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_column.py::TestMetaColumn::test_non_mapping_set[1.2] <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_column.py::TestMetaColumn::test_non_mapping_set[meta2] <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_column.py::TestMetaColumn::test_meta_fits_header <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_column.py::TestMetaMaskedColumn::test_none <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_column.py::TestMetaMaskedColumn::test_mapping_init[meta0] <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_column.py::TestMetaMaskedColumn::test_mapping_init[meta1] <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_column.py::TestMetaMaskedColumn::test_mapping_init[meta2] <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_column.py::TestMetaMaskedColumn::test_non_mapping_init[ceci n'est pas un meta] <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_column.py::TestMetaMaskedColumn::test_non_mapping_init[1.2] <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_column.py::TestMetaMaskedColumn::test_non_mapping_init[meta2] <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_column.py::TestMetaMaskedColumn::test_mapping_set[meta0] <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_column.py::TestMetaMaskedColumn::test_mapping_set[meta1] <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_column.py::TestMetaMaskedColumn::test_mapping_set[meta2] <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_column.py::TestMetaMaskedColumn::test_non_mapping_set[ceci n'est pas un meta] <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_column.py::TestMetaMaskedColumn::test_non_mapping_set[1.2] <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_column.py::TestMetaMaskedColumn::test_non_mapping_set[meta2] <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_column.py::TestMetaMaskedColumn::test_meta_fits_header <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_column.py::test_getitem_metadata_regression PASSED astropy/table/tests/test_column.py::test_unicode_guidelines PASSED astropy/table/tests/test_column.py::test_scalar_column PASSED astropy/table/tests/test_column.py::test_qtable_column_conversion PASSED astropy/table/tests/test_column.py::test_string_truncation_warning[True] PASSED astropy/table/tests/test_column.py::test_string_truncation_warning[False] PASSED astropy/table/tests/test_column.py::test_string_truncation_warning_masked PASSED astropy/table/tests/test_column.py::test_col_unicode_sandwich_create_from_str[Column] SKIPPED astropy/table/tests/test_column.py::test_col_unicode_sandwich_create_from_str[MaskedColumn] SKIPPED astropy/table/tests/test_column.py::test_col_unicode_sandwich_bytes[Column] PASSED astropy/table/tests/test_column.py::test_col_unicode_sandwich_bytes[MaskedColumn] PASSED astropy/table/tests/test_column.py::test_col_unicode_sandwich_unicode PASSED astropy/table/tests/test_column.py::test_masked_col_unicode_sandwich PASSED astropy/table/tests/test_column.py::test_unicode_sandwich_set[Column] PASSED astropy/table/tests/test_column.py::test_unicode_sandwich_set[MaskedColumn] PASSED astropy/table/tests/test_column.py::TestColumn::test_subclass[Column] PASSED astropy/table/tests/test_column.py::TestColumn::test_subclass[MaskedColumn] PASSED astropy/table/tests/test_column.py::TestColumn::test_numpy_ops[Column] PASSED astropy/table/tests/test_column.py::TestColumn::test_numpy_ops[MaskedColumn] PASSED astropy/table/tests/test_column.py::TestColumn::test_numpy_boolean_ufuncs[Column] PASSED astropy/table/tests/test_column.py::TestColumn::test_numpy_boolean_ufuncs[MaskedColumn] PASSED astropy/table/tests/test_column.py::TestColumn::test_view[Column] PASSED astropy/table/tests/test_column.py::TestColumn::test_view[MaskedColumn] PASSED astropy/table/tests/test_column.py::TestColumn::test_format[Column] PASSED astropy/table/tests/test_column.py::TestColumn::test_format[MaskedColumn] PASSED astropy/table/tests/test_column.py::TestColumn::test_convert_numpy_array[Column] PASSED astropy/table/tests/test_column.py::TestColumn::test_convert_numpy_array[MaskedColumn] PASSED astropy/table/tests/test_column.py::TestColumn::test_convert_unit[Column] PASSED astropy/table/tests/test_column.py::TestColumn::test_convert_unit[MaskedColumn] PASSED astropy/table/tests/test_column.py::TestColumn::test_array_wrap PASSED astropy/table/tests/test_column.py::TestColumn::test_name_none[Column] PASSED astropy/table/tests/test_column.py::TestColumn::test_name_none[MaskedColumn] PASSED astropy/table/tests/test_column.py::TestColumn::test_quantity_init[Column] PASSED astropy/table/tests/test_column.py::TestColumn::test_quantity_init[MaskedColumn] PASSED astropy/table/tests/test_column.py::TestColumn::test_attrs_survive_getitem_after_change[Column] PASSED astropy/table/tests/test_column.py::TestColumn::test_attrs_survive_getitem_after_change[MaskedColumn] PASSED astropy/table/tests/test_column.py::TestColumn::test_to_quantity[Column] PASSED astropy/table/tests/test_column.py::TestColumn::test_to_quantity[MaskedColumn] PASSED astropy/table/tests/test_column.py::TestColumn::test_item_access_type[Column] PASSED astropy/table/tests/test_column.py::TestColumn::test_item_access_type[MaskedColumn] PASSED astropy/table/tests/test_column.py::TestColumn::test_insert_basic[Column] PASSED astropy/table/tests/test_column.py::TestColumn::test_insert_basic[MaskedColumn] PASSED astropy/table/tests/test_column.py::TestColumn::test_insert_axis[Column] PASSED astropy/table/tests/test_column.py::TestColumn::test_insert_axis[MaskedColumn] PASSED astropy/table/tests/test_column.py::TestColumn::test_insert_multidim[Column] PASSED astropy/table/tests/test_column.py::TestColumn::test_insert_multidim[MaskedColumn] PASSED astropy/table/tests/test_column.py::TestColumn::test_insert_object[Column] PASSED astropy/table/tests/test_column.py::TestColumn::test_insert_object[MaskedColumn] PASSED astropy/table/tests/test_column.py::TestColumn::test_insert_masked PASSED astropy/table/tests/test_column.py::TestColumn::test_insert_masked_multidim PASSED astropy/table/tests/test_column.py::TestColumn::test_mask_on_non_masked_table PASSED astropy/table/tests/test_column.py::TestAttrEqual::test_5[Column] PASSED astropy/table/tests/test_column.py::TestAttrEqual::test_5[MaskedColumn] PASSED astropy/table/tests/test_column.py::TestAttrEqual::test_6[Column] PASSED astropy/table/tests/test_column.py::TestAttrEqual::test_6[MaskedColumn] PASSED astropy/table/tests/test_column.py::TestAttrEqual::test_7[Column] PASSED astropy/table/tests/test_column.py::TestAttrEqual::test_7[MaskedColumn] PASSED astropy/table/tests/test_column.py::TestAttrEqual::test_8[Column] PASSED astropy/table/tests/test_column.py::TestAttrEqual::test_8[MaskedColumn] PASSED astropy/table/tests/test_column.py::TestAttrEqual::test_9[Column] PASSED astropy/table/tests/test_column.py::TestAttrEqual::test_9[MaskedColumn] PASSED astropy/table/tests/test_column.py::TestAttrEqual::test_10[Column] PASSED astropy/table/tests/test_column.py::TestAttrEqual::test_10[MaskedColumn] PASSED astropy/table/tests/test_column.py::TestAttrEqual::test_11[Column] PASSED astropy/table/tests/test_column.py::TestAttrEqual::test_11[MaskedColumn] PASSED astropy/table/tests/test_column.py::TestAttrEqual::test_12[Column] PASSED astropy/table/tests/test_column.py::TestAttrEqual::test_12[MaskedColumn] PASSED astropy/table/tests/test_column.py::TestAttrEqual::test_13[Column] PASSED astropy/table/tests/test_column.py::TestAttrEqual::test_13[MaskedColumn] PASSED astropy/table/tests/test_column.py::TestAttrEqual::test_col_and_masked_col PASSED astropy/table/tests/test_column.py::TestMetaColumn::test_none <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_column.py::TestMetaColumn::test_mapping_init[meta0] <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_column.py::TestMetaColumn::test_mapping_init[meta1] <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_column.py::TestMetaColumn::test_mapping_init[meta2] <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_column.py::TestMetaColumn::test_non_mapping_init[ceci n'est pas un meta] <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_column.py::TestMetaColumn::test_non_mapping_init[1.2] <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_column.py::TestMetaColumn::test_non_mapping_init[meta2] <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_column.py::TestMetaColumn::test_mapping_set[meta0] <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_column.py::TestMetaColumn::test_mapping_set[meta1] <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_column.py::TestMetaColumn::test_mapping_set[meta2] <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_column.py::TestMetaColumn::test_non_mapping_set[ceci n'est pas un meta] <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_column.py::TestMetaColumn::test_non_mapping_set[1.2] <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_column.py::TestMetaColumn::test_non_mapping_set[meta2] <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_column.py::TestMetaColumn::test_meta_fits_header <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_column.py::TestMetaMaskedColumn::test_none <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_column.py::TestMetaMaskedColumn::test_mapping_init[meta0] <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_column.py::TestMetaMaskedColumn::test_mapping_init[meta1] <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_column.py::TestMetaMaskedColumn::test_mapping_init[meta2] <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_column.py::TestMetaMaskedColumn::test_non_mapping_init[ceci n'est pas un meta] <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_column.py::TestMetaMaskedColumn::test_non_mapping_init[1.2] <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_column.py::TestMetaMaskedColumn::test_non_mapping_init[meta2] <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_column.py::TestMetaMaskedColumn::test_mapping_set[meta0] <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_column.py::TestMetaMaskedColumn::test_mapping_set[meta1] <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_column.py::TestMetaMaskedColumn::test_mapping_set[meta2] <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_column.py::TestMetaMaskedColumn::test_non_mapping_set[ceci n'est pas un meta] <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_column.py::TestMetaMaskedColumn::test_non_mapping_set[1.2] <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_column.py::TestMetaMaskedColumn::test_non_mapping_set[meta2] <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_column.py::TestMetaMaskedColumn::test_meta_fits_header <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_column.py::test_getitem_metadata_regression PASSED astropy/table/tests/test_column.py::test_unicode_guidelines PASSED astropy/table/tests/test_column.py::test_scalar_column PASSED astropy/table/tests/test_column.py::test_qtable_column_conversion PASSED astropy/table/tests/test_column.py::test_string_truncation_warning[True] PASSED astropy/table/tests/test_column.py::test_string_truncation_warning[False] PASSED astropy/table/tests/test_column.py::test_string_truncation_warning_masked PASSED astropy/table/tests/test_column.py::test_col_unicode_sandwich_create_from_str[Column] SKIPPED astropy/table/tests/test_column.py::test_col_unicode_sandwich_create_from_str[MaskedColumn] SKIPPED astropy/table/tests/test_column.py::test_col_unicode_sandwich_bytes[Column] PASSED astropy/table/tests/test_column.py::test_col_unicode_sandwich_bytes[MaskedColumn] PASSED astropy/table/tests/test_column.py::test_col_unicode_sandwich_unicode PASSED astropy/table/tests/test_column.py::test_masked_col_unicode_sandwich PASSED astropy/table/tests/test_column.py::test_unicode_sandwich_set[Column] PASSED astropy/table/tests/test_column.py::test_unicode_sandwich_set[MaskedColumn] PASSED astropy/table/tests/test_groups.py::test_column_group_by[False] PASSED astropy/table/tests/test_groups.py::test_column_group_by[True] PASSED astropy/table/tests/test_groups.py::test_table_group_by[False] PASSED astropy/table/tests/test_groups.py::test_table_group_by[True] PASSED astropy/table/tests/test_groups.py::test_groups_keys[False] PASSED astropy/table/tests/test_groups.py::test_groups_keys[True] PASSED astropy/table/tests/test_groups.py::test_groups_iterator[False] PASSED astropy/table/tests/test_groups.py::test_groups_iterator[True] PASSED astropy/table/tests/test_groups.py::test_grouped_copy[False] PASSED astropy/table/tests/test_groups.py::test_grouped_copy[True] PASSED astropy/table/tests/test_groups.py::test_grouped_slicing[False] PASSED astropy/table/tests/test_groups.py::test_grouped_slicing[True] PASSED astropy/table/tests/test_groups.py::test_group_column_from_table[False] PASSED astropy/table/tests/test_groups.py::test_group_column_from_table[True] PASSED astropy/table/tests/test_groups.py::test_table_groups_mask_index[False] PASSED astropy/table/tests/test_groups.py::test_table_groups_mask_index[True] PASSED astropy/table/tests/test_groups.py::test_table_groups_array_index[False] PASSED astropy/table/tests/test_groups.py::test_table_groups_array_index[True] PASSED astropy/table/tests/test_groups.py::test_table_groups_slicing[False] PASSED astropy/table/tests/test_groups.py::test_table_groups_slicing[True] PASSED astropy/table/tests/test_groups.py::test_grouped_item_access[False] PASSED astropy/table/tests/test_groups.py::test_grouped_item_access[True] PASSED astropy/table/tests/test_groups.py::test_mutable_operations[False] PASSED astropy/table/tests/test_groups.py::test_mutable_operations[True] PASSED astropy/table/tests/test_groups.py::test_group_by_masked[False] PASSED astropy/table/tests/test_groups.py::test_group_by_masked[True] PASSED astropy/table/tests/test_groups.py::test_group_by_errors[False] PASSED astropy/table/tests/test_groups.py::test_group_by_errors[True] PASSED astropy/table/tests/test_groups.py::test_groups_keys_meta[False] PASSED astropy/table/tests/test_groups.py::test_groups_keys_meta[True] PASSED astropy/table/tests/test_groups.py::test_table_aggregate[False] PASSED astropy/table/tests/test_groups.py::test_table_aggregate[True] PASSED astropy/table/tests/test_groups.py::test_table_aggregate_reduceat[False] PASSED astropy/table/tests/test_groups.py::test_table_aggregate_reduceat[True] PASSED astropy/table/tests/test_groups.py::test_column_aggregate[False] PASSED astropy/table/tests/test_groups.py::test_column_aggregate[True] PASSED astropy/table/tests/test_groups.py::test_table_filter PASSED astropy/table/tests/test_groups.py::test_column_filter PASSED astropy/table/tests/test_groups.py::test_column_group_by[False] PASSED astropy/table/tests/test_groups.py::test_column_group_by[True] PASSED astropy/table/tests/test_groups.py::test_table_group_by[False] PASSED astropy/table/tests/test_groups.py::test_table_group_by[True] PASSED astropy/table/tests/test_groups.py::test_groups_keys[False] PASSED astropy/table/tests/test_groups.py::test_groups_keys[True] PASSED astropy/table/tests/test_groups.py::test_groups_iterator[False] PASSED astropy/table/tests/test_groups.py::test_groups_iterator[True] PASSED astropy/table/tests/test_groups.py::test_grouped_copy[False] PASSED astropy/table/tests/test_groups.py::test_grouped_copy[True] PASSED astropy/table/tests/test_groups.py::test_grouped_slicing[False] PASSED astropy/table/tests/test_groups.py::test_grouped_slicing[True] PASSED astropy/table/tests/test_groups.py::test_group_column_from_table[False] PASSED astropy/table/tests/test_groups.py::test_group_column_from_table[True] PASSED astropy/table/tests/test_groups.py::test_table_groups_mask_index[False] PASSED astropy/table/tests/test_groups.py::test_table_groups_mask_index[True] PASSED astropy/table/tests/test_groups.py::test_table_groups_array_index[False] PASSED astropy/table/tests/test_groups.py::test_table_groups_array_index[True] PASSED astropy/table/tests/test_groups.py::test_table_groups_slicing[False] PASSED astropy/table/tests/test_groups.py::test_table_groups_slicing[True] PASSED astropy/table/tests/test_groups.py::test_grouped_item_access[False] PASSED astropy/table/tests/test_groups.py::test_grouped_item_access[True] PASSED astropy/table/tests/test_groups.py::test_mutable_operations[False] PASSED astropy/table/tests/test_groups.py::test_mutable_operations[True] PASSED astropy/table/tests/test_groups.py::test_group_by_masked[False] PASSED astropy/table/tests/test_groups.py::test_group_by_masked[True] PASSED astropy/table/tests/test_groups.py::test_group_by_errors[False] PASSED astropy/table/tests/test_groups.py::test_group_by_errors[True] PASSED astropy/table/tests/test_groups.py::test_groups_keys_meta[False] PASSED astropy/table/tests/test_groups.py::test_groups_keys_meta[True] PASSED astropy/table/tests/test_groups.py::test_table_aggregate[False] PASSED astropy/table/tests/test_groups.py::test_table_aggregate[True] PASSED astropy/table/tests/test_groups.py::test_table_aggregate_reduceat[False] PASSED astropy/table/tests/test_groups.py::test_table_aggregate_reduceat[True] PASSED astropy/table/tests/test_groups.py::test_column_aggregate[False] PASSED astropy/table/tests/test_groups.py::test_column_aggregate[True] PASSED astropy/table/tests/test_groups.py::test_table_filter PASSED astropy/table/tests/test_groups.py::test_column_filter PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[unmasked-main_col0-BST0-False] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[unmasked-main_col0-BST0-True] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[unmasked-main_col0-BST1-False] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[unmasked-main_col0-BST1-True] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[unmasked-main_col0-SortedArray-False] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[unmasked-main_col0-SortedArray-True] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[unmasked-main_col1-BST0-False] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[unmasked-main_col1-BST0-True] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[unmasked-main_col1-BST1-False] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[unmasked-main_col1-BST1-True] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[unmasked-main_col1-SortedArray-False] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[unmasked-main_col1-SortedArray-True] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[unmasked-main_col2-BST0-False] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[unmasked-main_col2-BST0-True] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[unmasked-main_col2-BST1-False] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[unmasked-main_col2-BST1-True] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[unmasked-main_col2-SortedArray-False] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[unmasked-main_col2-SortedArray-True] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[masked-main_col0-BST0-False] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[masked-main_col0-BST0-True] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[masked-main_col0-BST1-False] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[masked-main_col0-BST1-True] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[masked-main_col0-SortedArray-False] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[masked-main_col0-SortedArray-True] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[masked-main_col1-BST0-False] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[masked-main_col1-BST0-True] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[masked-main_col1-BST1-False] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[masked-main_col1-BST1-True] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[masked-main_col1-SortedArray-False] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[masked-main_col1-SortedArray-True] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[masked-main_col2-BST0-False] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[masked-main_col2-BST0-True] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[masked-main_col2-BST1-False] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[masked-main_col2-BST1-True] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[masked-main_col2-SortedArray-False] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[masked-main_col2-SortedArray-True] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[subclass-main_col0-BST0-False] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[subclass-main_col0-BST0-True] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[subclass-main_col0-BST1-False] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[subclass-main_col0-BST1-True] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[subclass-main_col0-SortedArray-False] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[subclass-main_col0-SortedArray-True] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[subclass-main_col1-BST0-False] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[subclass-main_col1-BST0-True] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[subclass-main_col1-BST1-False] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[subclass-main_col1-BST1-True] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[subclass-main_col1-SortedArray-False] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[subclass-main_col1-SortedArray-True] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[subclass-main_col2-BST0-False] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[subclass-main_col2-BST0-True] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[subclass-main_col2-BST1-False] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[subclass-main_col2-BST1-True] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[subclass-main_col2-SortedArray-False] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[subclass-main_col2-SortedArray-True] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_slicing[unmasked-main_col0-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_slicing[unmasked-main_col0-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_slicing[unmasked-main_col0-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_slicing[unmasked-main_col1-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_slicing[unmasked-main_col1-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_slicing[unmasked-main_col1-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_slicing[unmasked-main_col2-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_slicing[unmasked-main_col2-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_slicing[unmasked-main_col2-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_slicing[masked-main_col0-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_slicing[masked-main_col0-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_slicing[masked-main_col0-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_slicing[masked-main_col1-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_slicing[masked-main_col1-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_slicing[masked-main_col1-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_slicing[masked-main_col2-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_slicing[masked-main_col2-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_slicing[masked-main_col2-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_slicing[subclass-main_col0-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_slicing[subclass-main_col0-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_slicing[subclass-main_col0-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_slicing[subclass-main_col1-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_slicing[subclass-main_col1-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_slicing[subclass-main_col1-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_slicing[subclass-main_col2-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_slicing[subclass-main_col2-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_slicing[subclass-main_col2-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_remove_rows[unmasked-main_col0-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_remove_rows[unmasked-main_col0-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_remove_rows[unmasked-main_col0-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_remove_rows[unmasked-main_col1-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_remove_rows[unmasked-main_col1-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_remove_rows[unmasked-main_col1-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_remove_rows[unmasked-main_col2-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_remove_rows[unmasked-main_col2-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_remove_rows[unmasked-main_col2-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_remove_rows[masked-main_col0-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_remove_rows[masked-main_col0-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_remove_rows[masked-main_col0-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_remove_rows[masked-main_col1-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_remove_rows[masked-main_col1-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_remove_rows[masked-main_col1-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_remove_rows[masked-main_col2-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_remove_rows[masked-main_col2-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_remove_rows[masked-main_col2-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_remove_rows[subclass-main_col0-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_remove_rows[subclass-main_col0-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_remove_rows[subclass-main_col0-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_remove_rows[subclass-main_col1-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_remove_rows[subclass-main_col1-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_remove_rows[subclass-main_col1-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_remove_rows[subclass-main_col2-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_remove_rows[subclass-main_col2-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_remove_rows[subclass-main_col2-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_get_slice[unmasked-main_col0-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_get_slice[unmasked-main_col0-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_get_slice[unmasked-main_col0-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_get_slice[unmasked-main_col1-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_get_slice[unmasked-main_col1-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_get_slice[unmasked-main_col1-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_get_slice[unmasked-main_col2-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_get_slice[unmasked-main_col2-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_get_slice[unmasked-main_col2-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_get_slice[masked-main_col0-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_get_slice[masked-main_col0-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_get_slice[masked-main_col0-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_get_slice[masked-main_col1-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_get_slice[masked-main_col1-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_get_slice[masked-main_col1-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_get_slice[masked-main_col2-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_get_slice[masked-main_col2-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_get_slice[masked-main_col2-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_get_slice[subclass-main_col0-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_get_slice[subclass-main_col0-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_get_slice[subclass-main_col0-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_get_slice[subclass-main_col1-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_get_slice[subclass-main_col1-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_get_slice[subclass-main_col1-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_get_slice[subclass-main_col2-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_get_slice[subclass-main_col2-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_get_slice[subclass-main_col2-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_set_slice[unmasked-main_col0-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_set_slice[unmasked-main_col0-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_set_slice[unmasked-main_col0-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_set_slice[unmasked-main_col1-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_set_slice[unmasked-main_col1-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_set_slice[unmasked-main_col1-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_set_slice[unmasked-main_col2-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_set_slice[unmasked-main_col2-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_set_slice[unmasked-main_col2-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_set_slice[masked-main_col0-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_set_slice[masked-main_col0-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_set_slice[masked-main_col0-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_set_slice[masked-main_col1-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_set_slice[masked-main_col1-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_set_slice[masked-main_col1-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_set_slice[masked-main_col2-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_set_slice[masked-main_col2-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_set_slice[masked-main_col2-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_set_slice[subclass-main_col0-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_set_slice[subclass-main_col0-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_set_slice[subclass-main_col0-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_set_slice[subclass-main_col1-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_set_slice[subclass-main_col1-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_set_slice[subclass-main_col1-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_set_slice[subclass-main_col2-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_set_slice[subclass-main_col2-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_set_slice[subclass-main_col2-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_multiple_slices[unmasked-main_col0-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_multiple_slices[unmasked-main_col0-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_multiple_slices[unmasked-main_col0-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_multiple_slices[unmasked-main_col1-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_multiple_slices[unmasked-main_col1-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_multiple_slices[unmasked-main_col1-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_multiple_slices[unmasked-main_col2-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_multiple_slices[unmasked-main_col2-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_multiple_slices[unmasked-main_col2-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_multiple_slices[masked-main_col0-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_multiple_slices[masked-main_col0-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_multiple_slices[masked-main_col0-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_multiple_slices[masked-main_col1-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_multiple_slices[masked-main_col1-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_multiple_slices[masked-main_col1-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_multiple_slices[masked-main_col2-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_multiple_slices[masked-main_col2-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_multiple_slices[masked-main_col2-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_multiple_slices[subclass-main_col0-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_multiple_slices[subclass-main_col0-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_multiple_slices[subclass-main_col0-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_multiple_slices[subclass-main_col1-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_multiple_slices[subclass-main_col1-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_multiple_slices[subclass-main_col1-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_multiple_slices[subclass-main_col2-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_multiple_slices[subclass-main_col2-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_multiple_slices[subclass-main_col2-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_sort[unmasked-main_col0-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_sort[unmasked-main_col0-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_sort[unmasked-main_col0-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_sort[unmasked-main_col1-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_sort[unmasked-main_col1-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_sort[unmasked-main_col1-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_sort[unmasked-main_col2-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_sort[unmasked-main_col2-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_sort[unmasked-main_col2-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_sort[masked-main_col0-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_sort[masked-main_col0-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_sort[masked-main_col0-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_sort[masked-main_col1-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_sort[masked-main_col1-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_sort[masked-main_col1-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_sort[masked-main_col2-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_sort[masked-main_col2-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_sort[masked-main_col2-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_sort[subclass-main_col0-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_sort[subclass-main_col0-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_sort[subclass-main_col0-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_sort[subclass-main_col1-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_sort[subclass-main_col1-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_sort[subclass-main_col1-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_sort[subclass-main_col2-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_sort[subclass-main_col2-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_sort[subclass-main_col2-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_insert_row[unmasked-main_col0-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_insert_row[unmasked-main_col0-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_insert_row[unmasked-main_col0-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_insert_row[unmasked-main_col1-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_insert_row[unmasked-main_col1-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_insert_row[unmasked-main_col1-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_insert_row[unmasked-main_col2-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_insert_row[unmasked-main_col2-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_insert_row[unmasked-main_col2-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_insert_row[masked-main_col0-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_insert_row[masked-main_col0-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_insert_row[masked-main_col0-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_insert_row[masked-main_col1-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_insert_row[masked-main_col1-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_insert_row[masked-main_col1-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_insert_row[masked-main_col2-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_insert_row[masked-main_col2-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_insert_row[masked-main_col2-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_insert_row[subclass-main_col0-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_insert_row[subclass-main_col0-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_insert_row[subclass-main_col0-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_insert_row[subclass-main_col1-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_insert_row[subclass-main_col1-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_insert_row[subclass-main_col1-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_insert_row[subclass-main_col2-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_insert_row[subclass-main_col2-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_insert_row[subclass-main_col2-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_modes[unmasked-main_col0-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_modes[unmasked-main_col0-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_modes[unmasked-main_col0-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_modes[unmasked-main_col1-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_modes[unmasked-main_col1-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_modes[unmasked-main_col1-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_modes[unmasked-main_col2-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_modes[unmasked-main_col2-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_modes[unmasked-main_col2-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_modes[masked-main_col0-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_modes[masked-main_col0-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_modes[masked-main_col0-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_modes[masked-main_col1-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_modes[masked-main_col1-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_modes[masked-main_col1-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_modes[masked-main_col2-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_modes[masked-main_col2-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_modes[masked-main_col2-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_modes[subclass-main_col0-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_modes[subclass-main_col0-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_modes[subclass-main_col0-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_modes[subclass-main_col1-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_modes[subclass-main_col1-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_modes[subclass-main_col1-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_modes[subclass-main_col2-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_modes[subclass-main_col2-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_modes[subclass-main_col2-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_retrieval[unmasked-main_col0-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_retrieval[unmasked-main_col0-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_retrieval[unmasked-main_col0-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_retrieval[unmasked-main_col1-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_retrieval[unmasked-main_col1-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_retrieval[unmasked-main_col1-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_retrieval[unmasked-main_col2-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_retrieval[unmasked-main_col2-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_retrieval[unmasked-main_col2-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_retrieval[masked-main_col0-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_retrieval[masked-main_col0-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_retrieval[masked-main_col0-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_retrieval[masked-main_col1-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_retrieval[masked-main_col1-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_retrieval[masked-main_col1-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_retrieval[masked-main_col2-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_retrieval[masked-main_col2-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_retrieval[masked-main_col2-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_retrieval[subclass-main_col0-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_retrieval[subclass-main_col0-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_retrieval[subclass-main_col0-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_retrieval[subclass-main_col1-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_retrieval[subclass-main_col1-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_retrieval[subclass-main_col1-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_retrieval[subclass-main_col2-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_retrieval[subclass-main_col2-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_retrieval[subclass-main_col2-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_rename[unmasked-main_col0-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_rename[unmasked-main_col0-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_rename[unmasked-main_col0-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_rename[unmasked-main_col1-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_rename[unmasked-main_col1-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_rename[unmasked-main_col1-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_rename[unmasked-main_col2-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_rename[unmasked-main_col2-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_rename[unmasked-main_col2-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_rename[masked-main_col0-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_rename[masked-main_col0-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_rename[masked-main_col0-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_rename[masked-main_col1-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_rename[masked-main_col1-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_rename[masked-main_col1-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_rename[masked-main_col2-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_rename[masked-main_col2-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_rename[masked-main_col2-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_rename[subclass-main_col0-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_rename[subclass-main_col0-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_rename[subclass-main_col0-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_rename[subclass-main_col1-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_rename[subclass-main_col1-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_rename[subclass-main_col1-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_rename[subclass-main_col2-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_rename[subclass-main_col2-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_rename[subclass-main_col2-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_loc[unmasked-main_col0-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_loc[unmasked-main_col0-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_loc[unmasked-main_col0-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_loc[unmasked-main_col1-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_loc[unmasked-main_col1-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_loc[unmasked-main_col1-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_loc[unmasked-main_col2-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_loc[unmasked-main_col2-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_loc[unmasked-main_col2-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_loc[masked-main_col0-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_loc[masked-main_col0-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_loc[masked-main_col0-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_loc[masked-main_col1-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_loc[masked-main_col1-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_loc[masked-main_col1-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_loc[masked-main_col2-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_loc[masked-main_col2-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_loc[masked-main_col2-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_loc[subclass-main_col0-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_loc[subclass-main_col0-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_loc[subclass-main_col0-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_loc[subclass-main_col1-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_loc[subclass-main_col1-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_loc[subclass-main_col1-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_loc[subclass-main_col2-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_loc[subclass-main_col2-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_loc[subclass-main_col2-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_invalid_search[unmasked-main_col0-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_invalid_search[unmasked-main_col0-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_invalid_search[unmasked-main_col0-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_invalid_search[unmasked-main_col1-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_invalid_search[unmasked-main_col1-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_invalid_search[unmasked-main_col1-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_invalid_search[unmasked-main_col2-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_invalid_search[unmasked-main_col2-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_invalid_search[unmasked-main_col2-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_invalid_search[masked-main_col0-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_invalid_search[masked-main_col0-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_invalid_search[masked-main_col0-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_invalid_search[masked-main_col1-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_invalid_search[masked-main_col1-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_invalid_search[masked-main_col1-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_invalid_search[masked-main_col2-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_invalid_search[masked-main_col2-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_invalid_search[masked-main_col2-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_invalid_search[subclass-main_col0-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_invalid_search[subclass-main_col0-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_invalid_search[subclass-main_col0-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_invalid_search[subclass-main_col1-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_invalid_search[subclass-main_col1-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_invalid_search[subclass-main_col1-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_invalid_search[subclass-main_col2-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_invalid_search[subclass-main_col2-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_invalid_search[subclass-main_col2-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_copy_index_references[unmasked-main_col0-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_copy_index_references[unmasked-main_col0-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_copy_index_references[unmasked-main_col0-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_copy_index_references[unmasked-main_col1-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_copy_index_references[unmasked-main_col1-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_copy_index_references[unmasked-main_col1-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_copy_index_references[unmasked-main_col2-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_copy_index_references[unmasked-main_col2-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_copy_index_references[unmasked-main_col2-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_copy_index_references[masked-main_col0-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_copy_index_references[masked-main_col0-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_copy_index_references[masked-main_col0-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_copy_index_references[masked-main_col1-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_copy_index_references[masked-main_col1-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_copy_index_references[masked-main_col1-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_copy_index_references[masked-main_col2-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_copy_index_references[masked-main_col2-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_copy_index_references[masked-main_col2-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_copy_index_references[subclass-main_col0-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_copy_index_references[subclass-main_col0-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_copy_index_references[subclass-main_col0-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_copy_index_references[subclass-main_col1-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_copy_index_references[subclass-main_col1-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_copy_index_references[subclass-main_col1-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_copy_index_references[subclass-main_col2-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_copy_index_references[subclass-main_col2-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_copy_index_references[subclass-main_col2-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_unique_index[unmasked-main_col0-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_unique_index[unmasked-main_col0-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_unique_index[unmasked-main_col0-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_unique_index[unmasked-main_col1-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_unique_index[unmasked-main_col1-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_unique_index[unmasked-main_col1-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_unique_index[unmasked-main_col2-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_unique_index[unmasked-main_col2-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_unique_index[unmasked-main_col2-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_unique_index[masked-main_col0-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_unique_index[masked-main_col0-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_unique_index[masked-main_col0-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_unique_index[masked-main_col1-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_unique_index[masked-main_col1-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_unique_index[masked-main_col1-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_unique_index[masked-main_col2-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_unique_index[masked-main_col2-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_unique_index[masked-main_col2-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_unique_index[subclass-main_col0-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_unique_index[subclass-main_col0-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_unique_index[subclass-main_col0-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_unique_index[subclass-main_col1-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_unique_index[subclass-main_col1-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_unique_index[subclass-main_col1-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_unique_index[subclass-main_col2-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_unique_index[subclass-main_col2-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_unique_index[subclass-main_col2-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_copy_indexed_table[unmasked] PASSED astropy/table/tests/test_index.py::TestIndex::test_copy_indexed_table[masked] PASSED astropy/table/tests/test_index.py::TestIndex::test_copy_indexed_table[subclass] PASSED astropy/table/tests/test_info.py::test_table_info_attributes[unmasked] PASSED astropy/table/tests/test_info.py::test_table_info_attributes[masked] PASSED astropy/table/tests/test_info.py::test_table_info_attributes[subclass] PASSED astropy/table/tests/test_info.py::test_table_info_stats[unmasked] PASSED astropy/table/tests/test_info.py::test_table_info_stats[masked] PASSED astropy/table/tests/test_info.py::test_table_info_stats[subclass] PASSED astropy/table/tests/test_info.py::test_data_info PASSED astropy/table/tests/test_info.py::test_data_info_subclass PASSED astropy/table/tests/test_info.py::test_scalar_info PASSED astropy/table/tests/test_info.py::test_empty_table PASSED astropy/table/tests/test_info.py::test_class_attribute PASSED astropy/table/tests/test_info.py::test_ignore_warnings PASSED astropy/table/tests/test_info.py::test_no_deprecation_warning PASSED astropy/table/tests/test_info.py::test_table_info_attributes[unmasked] PASSED astropy/table/tests/test_info.py::test_table_info_attributes[masked] PASSED astropy/table/tests/test_info.py::test_table_info_attributes[subclass] PASSED astropy/table/tests/test_info.py::test_table_info_stats[unmasked] PASSED astropy/table/tests/test_info.py::test_table_info_stats[masked] PASSED astropy/table/tests/test_info.py::test_table_info_stats[subclass] PASSED astropy/table/tests/test_info.py::test_data_info PASSED astropy/table/tests/test_info.py::test_data_info_subclass PASSED astropy/table/tests/test_info.py::test_scalar_info PASSED astropy/table/tests/test_info.py::test_empty_table PASSED astropy/table/tests/test_info.py::test_class_attribute PASSED astropy/table/tests/test_info.py::test_ignore_warnings PASSED astropy/table/tests/test_info.py::test_no_deprecation_warning PASSED astropy/table/tests/test_init_table.py::TestTableColumnsInit::test_init PASSED astropy/table/tests/test_init_table.py::TestInitFromNdarrayHomo::test_basic_init[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromNdarrayHomo::test_basic_init[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromNdarrayHomo::test_set_dtype[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromNdarrayHomo::test_set_dtype[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromNdarrayHomo::test_names_dtype_mismatch[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromNdarrayHomo::test_names_dtype_mismatch[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromNdarrayHomo::test_names_cols_mismatch[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromNdarrayHomo::test_names_cols_mismatch[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromNdarrayHomo::test_names_copy_false[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromNdarrayHomo::test_names_copy_false[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromNdarrayHomo::test_default_names[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromNdarrayHomo::test_default_names[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromNdarrayHomo::test_ndarray_ref[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromNdarrayHomo::test_ndarray_ref[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromNdarrayHomo::test_partial_names_dtype[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromNdarrayHomo::test_partial_names_dtype[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromNdarrayHomo::test_partial_names_ref[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromNdarrayHomo::test_partial_names_ref[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromListOfLists::test_basic_init[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromListOfLists::test_basic_init[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromListOfLists::test_set_dtype[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromListOfLists::test_set_dtype[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromListOfLists::test_names_dtype_mismatch[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromListOfLists::test_names_dtype_mismatch[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromListOfLists::test_names_cols_mismatch[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromListOfLists::test_names_cols_mismatch[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromListOfLists::test_names_copy_false[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromListOfLists::test_names_copy_false[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromListOfLists::test_default_names[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromListOfLists::test_default_names[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromListOfLists::test_partial_names_dtype[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromListOfLists::test_partial_names_dtype[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromListOfLists::test_bad_data[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromListOfLists::test_bad_data[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromListOfDicts::test_basic_init[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromListOfDicts::test_basic_init[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromListOfDicts::test_set_dtype[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromListOfDicts::test_set_dtype[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromListOfDicts::test_names_dtype_mismatch[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromListOfDicts::test_names_dtype_mismatch[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromListOfDicts::test_names_cols_mismatch[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromListOfDicts::test_names_cols_mismatch[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromListOfDicts::test_names_copy_false[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromListOfDicts::test_names_copy_false[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromListOfDicts::test_names[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromListOfDicts::test_names[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromListOfDicts::test_names_ordered[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromListOfDicts::test_names_ordered[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromListOfDicts::test_bad_data[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromListOfDicts::test_bad_data[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromColsList::test_basic_init[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromColsList::test_basic_init[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromColsList::test_set_dtype[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromColsList::test_set_dtype[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromColsList::test_names_dtype_mismatch[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromColsList::test_names_dtype_mismatch[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromColsList::test_names_cols_mismatch[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromColsList::test_names_cols_mismatch[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromColsList::test_names_copy_false[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromColsList::test_names_copy_false[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromColsList::test_default_names[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromColsList::test_default_names[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromColsList::test_partial_names_dtype[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromColsList::test_partial_names_dtype[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromColsList::test_ref[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromColsList::test_ref[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromNdarrayStruct::test_basic_init[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromNdarrayStruct::test_basic_init[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromNdarrayStruct::test_set_dtype[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromNdarrayStruct::test_set_dtype[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromNdarrayStruct::test_names_dtype_mismatch[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromNdarrayStruct::test_names_dtype_mismatch[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromNdarrayStruct::test_names_cols_mismatch[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromNdarrayStruct::test_names_cols_mismatch[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromNdarrayStruct::test_ndarray_ref[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromNdarrayStruct::test_ndarray_ref[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromNdarrayStruct::test_partial_names_dtype[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromNdarrayStruct::test_partial_names_dtype[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromNdarrayStruct::test_partial_names_ref[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromNdarrayStruct::test_partial_names_ref[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromDict::test_basic_init[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromDict::test_basic_init[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromDict::test_set_dtype[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromDict::test_set_dtype[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromDict::test_names_dtype_mismatch[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromDict::test_names_dtype_mismatch[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromDict::test_names_cols_mismatch[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromDict::test_names_cols_mismatch[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromMapping::test_basic_init[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromMapping::test_basic_init[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromMapping::test_set_dtype[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromMapping::test_set_dtype[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromMapping::test_names_dtype_mismatch[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromMapping::test_names_dtype_mismatch[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromMapping::test_names_cols_mismatch[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromMapping::test_names_cols_mismatch[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromOrderedDict::test_basic_init[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromOrderedDict::test_basic_init[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromOrderedDict::test_set_dtype[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromOrderedDict::test_set_dtype[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromOrderedDict::test_names_dtype_mismatch[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromOrderedDict::test_names_dtype_mismatch[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromOrderedDict::test_names_cols_mismatch[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromOrderedDict::test_names_cols_mismatch[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromOrderedDict::test_col_order[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromOrderedDict::test_col_order[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromRow::test_basic_init[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromRow::test_basic_init[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromRow::test_set_dtype[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromRow::test_set_dtype[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromRow::test_names_dtype_mismatch[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromRow::test_names_dtype_mismatch[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromRow::test_names_cols_mismatch[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromRow::test_names_cols_mismatch[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromRow::test_init_from_row[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromRow::test_init_from_row[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromTable::test_basic_init[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromTable::test_basic_init[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromTable::test_set_dtype[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromTable::test_set_dtype[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromTable::test_names_dtype_mismatch[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromTable::test_names_dtype_mismatch[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromTable::test_names_cols_mismatch[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromTable::test_names_cols_mismatch[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromTable::test_data_meta_copy[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromTable::test_data_meta_copy[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromTable::test_table_ref[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromTable::test_table_ref[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromTable::test_partial_names_dtype[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromTable::test_partial_names_dtype[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromTable::test_partial_names_ref[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromTable::test_partial_names_ref[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromTable::test_init_from_columns[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromTable::test_init_from_columns[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromTable::test_init_from_columns_slice[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromTable::test_init_from_columns_slice[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromTable::test_init_from_columns_mix[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromTable::test_init_from_columns_mix[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromNone::test_data_none_with_cols[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromNone::test_data_none_with_cols[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromRows::test_init_with_rows[unmasked-False] PASSED astropy/table/tests/test_init_table.py::TestInitFromRows::test_init_with_rows[unmasked-True] PASSED astropy/table/tests/test_init_table.py::TestInitFromRows::test_init_with_rows[masked-False] PASSED astropy/table/tests/test_init_table.py::TestInitFromRows::test_init_with_rows[masked-True] PASSED astropy/table/tests/test_init_table.py::TestInitFromRows::test_init_with_rows[subclass-False] PASSED astropy/table/tests/test_init_table.py::TestInitFromRows::test_init_with_rows[subclass-True] PASSED astropy/table/tests/test_init_table.py::TestInitFromRows::test_init_with_rows_and_data[unmasked-False] PASSED astropy/table/tests/test_init_table.py::TestInitFromRows::test_init_with_rows_and_data[unmasked-True] PASSED astropy/table/tests/test_init_table.py::TestInitFromRows::test_init_with_rows_and_data[masked-False] PASSED astropy/table/tests/test_init_table.py::TestInitFromRows::test_init_with_rows_and_data[masked-True] PASSED astropy/table/tests/test_init_table.py::TestInitFromRows::test_init_with_rows_and_data[subclass-False] PASSED astropy/table/tests/test_init_table.py::TestInitFromRows::test_init_with_rows_and_data[subclass-True] PASSED astropy/table/tests/test_init_table.py::test_init_and_ref_from_multidim_ndarray[False] PASSED astropy/table/tests/test_init_table.py::test_init_and_ref_from_multidim_ndarray[True] PASSED astropy/table/tests/test_init_table.py::TestTableColumnsInit::test_init PASSED astropy/table/tests/test_init_table.py::TestInitFromNdarrayHomo::test_basic_init[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromNdarrayHomo::test_basic_init[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromNdarrayHomo::test_set_dtype[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromNdarrayHomo::test_set_dtype[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromNdarrayHomo::test_names_dtype_mismatch[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromNdarrayHomo::test_names_dtype_mismatch[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromNdarrayHomo::test_names_cols_mismatch[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromNdarrayHomo::test_names_cols_mismatch[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromNdarrayHomo::test_names_copy_false[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromNdarrayHomo::test_names_copy_false[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromNdarrayHomo::test_default_names[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromNdarrayHomo::test_default_names[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromNdarrayHomo::test_ndarray_ref[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromNdarrayHomo::test_ndarray_ref[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromNdarrayHomo::test_partial_names_dtype[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromNdarrayHomo::test_partial_names_dtype[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromNdarrayHomo::test_partial_names_ref[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromNdarrayHomo::test_partial_names_ref[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromListOfLists::test_basic_init[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromListOfLists::test_basic_init[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromListOfLists::test_set_dtype[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromListOfLists::test_set_dtype[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromListOfLists::test_names_dtype_mismatch[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromListOfLists::test_names_dtype_mismatch[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromListOfLists::test_names_cols_mismatch[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromListOfLists::test_names_cols_mismatch[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromListOfLists::test_names_copy_false[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromListOfLists::test_names_copy_false[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromListOfLists::test_default_names[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromListOfLists::test_default_names[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromListOfLists::test_partial_names_dtype[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromListOfLists::test_partial_names_dtype[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromListOfLists::test_bad_data[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromListOfLists::test_bad_data[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromListOfDicts::test_basic_init[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromListOfDicts::test_basic_init[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromListOfDicts::test_set_dtype[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromListOfDicts::test_set_dtype[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromListOfDicts::test_names_dtype_mismatch[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromListOfDicts::test_names_dtype_mismatch[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromListOfDicts::test_names_cols_mismatch[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromListOfDicts::test_names_cols_mismatch[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromListOfDicts::test_names_copy_false[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromListOfDicts::test_names_copy_false[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromListOfDicts::test_names[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromListOfDicts::test_names[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromListOfDicts::test_names_ordered[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromListOfDicts::test_names_ordered[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromListOfDicts::test_bad_data[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromListOfDicts::test_bad_data[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromColsList::test_basic_init[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromColsList::test_basic_init[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromColsList::test_set_dtype[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromColsList::test_set_dtype[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromColsList::test_names_dtype_mismatch[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromColsList::test_names_dtype_mismatch[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromColsList::test_names_cols_mismatch[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromColsList::test_names_cols_mismatch[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromColsList::test_names_copy_false[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromColsList::test_names_copy_false[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromColsList::test_default_names[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromColsList::test_default_names[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromColsList::test_partial_names_dtype[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromColsList::test_partial_names_dtype[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromColsList::test_ref[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromColsList::test_ref[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromNdarrayStruct::test_basic_init[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromNdarrayStruct::test_basic_init[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromNdarrayStruct::test_set_dtype[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromNdarrayStruct::test_set_dtype[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromNdarrayStruct::test_names_dtype_mismatch[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromNdarrayStruct::test_names_dtype_mismatch[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromNdarrayStruct::test_names_cols_mismatch[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromNdarrayStruct::test_names_cols_mismatch[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromNdarrayStruct::test_ndarray_ref[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromNdarrayStruct::test_ndarray_ref[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromNdarrayStruct::test_partial_names_dtype[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromNdarrayStruct::test_partial_names_dtype[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromNdarrayStruct::test_partial_names_ref[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromNdarrayStruct::test_partial_names_ref[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromDict::test_basic_init[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromDict::test_basic_init[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromDict::test_set_dtype[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromDict::test_set_dtype[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromDict::test_names_dtype_mismatch[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromDict::test_names_dtype_mismatch[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromDict::test_names_cols_mismatch[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromDict::test_names_cols_mismatch[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromMapping::test_basic_init[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromMapping::test_basic_init[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromMapping::test_set_dtype[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromMapping::test_set_dtype[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromMapping::test_names_dtype_mismatch[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromMapping::test_names_dtype_mismatch[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromMapping::test_names_cols_mismatch[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromMapping::test_names_cols_mismatch[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromOrderedDict::test_basic_init[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromOrderedDict::test_basic_init[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromOrderedDict::test_set_dtype[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromOrderedDict::test_set_dtype[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromOrderedDict::test_names_dtype_mismatch[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromOrderedDict::test_names_dtype_mismatch[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromOrderedDict::test_names_cols_mismatch[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromOrderedDict::test_names_cols_mismatch[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromOrderedDict::test_col_order[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromOrderedDict::test_col_order[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromRow::test_basic_init[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromRow::test_basic_init[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromRow::test_set_dtype[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromRow::test_set_dtype[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromRow::test_names_dtype_mismatch[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromRow::test_names_dtype_mismatch[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromRow::test_names_cols_mismatch[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromRow::test_names_cols_mismatch[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromRow::test_init_from_row[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromRow::test_init_from_row[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromTable::test_basic_init[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromTable::test_basic_init[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromTable::test_set_dtype[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromTable::test_set_dtype[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromTable::test_names_dtype_mismatch[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromTable::test_names_dtype_mismatch[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromTable::test_names_cols_mismatch[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromTable::test_names_cols_mismatch[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromTable::test_data_meta_copy[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromTable::test_data_meta_copy[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromTable::test_table_ref[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromTable::test_table_ref[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromTable::test_partial_names_dtype[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromTable::test_partial_names_dtype[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromTable::test_partial_names_ref[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromTable::test_partial_names_ref[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromTable::test_init_from_columns[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromTable::test_init_from_columns[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromTable::test_init_from_columns_slice[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromTable::test_init_from_columns_slice[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromTable::test_init_from_columns_mix[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromTable::test_init_from_columns_mix[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromNone::test_data_none_with_cols[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromNone::test_data_none_with_cols[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromRows::test_init_with_rows[unmasked-False] PASSED astropy/table/tests/test_init_table.py::TestInitFromRows::test_init_with_rows[unmasked-True] PASSED astropy/table/tests/test_init_table.py::TestInitFromRows::test_init_with_rows[masked-False] PASSED astropy/table/tests/test_init_table.py::TestInitFromRows::test_init_with_rows[masked-True] PASSED astropy/table/tests/test_init_table.py::TestInitFromRows::test_init_with_rows[subclass-False] PASSED astropy/table/tests/test_init_table.py::TestInitFromRows::test_init_with_rows[subclass-True] PASSED astropy/table/tests/test_init_table.py::TestInitFromRows::test_init_with_rows_and_data[unmasked-False] PASSED astropy/table/tests/test_init_table.py::TestInitFromRows::test_init_with_rows_and_data[unmasked-True] PASSED astropy/table/tests/test_init_table.py::TestInitFromRows::test_init_with_rows_and_data[masked-False] PASSED astropy/table/tests/test_init_table.py::TestInitFromRows::test_init_with_rows_and_data[masked-True] PASSED astropy/table/tests/test_init_table.py::TestInitFromRows::test_init_with_rows_and_data[subclass-False] PASSED astropy/table/tests/test_init_table.py::TestInitFromRows::test_init_with_rows_and_data[subclass-True] PASSED astropy/table/tests/test_init_table.py::test_init_and_ref_from_multidim_ndarray[False] PASSED astropy/table/tests/test_init_table.py::test_init_and_ref_from_multidim_ndarray[True] PASSED astropy/table/tests/test_item_access.py::TestTableColumnsItems::test_by_name[False] PASSED astropy/table/tests/test_item_access.py::TestTableColumnsItems::test_by_name[True] PASSED astropy/table/tests/test_item_access.py::TestTableColumnsItems::test_by_position[False] PASSED astropy/table/tests/test_item_access.py::TestTableColumnsItems::test_by_position[True] PASSED astropy/table/tests/test_item_access.py::TestTableColumnsItems::test_mult_columns[False] PASSED astropy/table/tests/test_item_access.py::TestTableColumnsItems::test_mult_columns[True] PASSED astropy/table/tests/test_item_access.py::TestTableColumnsItems::test_column_slice[False] PASSED astropy/table/tests/test_item_access.py::TestTableColumnsItems::test_column_slice[True] PASSED astropy/table/tests/test_item_access.py::TestTableItems::test_column[False-10] PASSED astropy/table/tests/test_item_access.py::TestTableItems::test_column[False-11] PASSED astropy/table/tests/test_item_access.py::TestTableItems::test_column[False-idx2] PASSED astropy/table/tests/test_item_access.py::TestTableItems::test_column[True-10] PASSED astropy/table/tests/test_item_access.py::TestTableItems::test_column[True-11] PASSED astropy/table/tests/test_item_access.py::TestTableItems::test_column[True-idx2] PASSED astropy/table/tests/test_item_access.py::TestTableItems::test_row[False-10] PASSED astropy/table/tests/test_item_access.py::TestTableItems::test_row[False-11] PASSED astropy/table/tests/test_item_access.py::TestTableItems::test_row[False-idx2] PASSED astropy/table/tests/test_item_access.py::TestTableItems::test_row[True-10] PASSED astropy/table/tests/test_item_access.py::TestTableItems::test_row[True-11] PASSED astropy/table/tests/test_item_access.py::TestTableItems::test_row[True-idx2] PASSED astropy/table/tests/test_item_access.py::TestTableItems::test_empty_iterable_item[False] PASSED astropy/table/tests/test_item_access.py::TestTableItems::test_empty_iterable_item[True] PASSED astropy/table/tests/test_item_access.py::TestTableItems::test_table_slice[False] PASSED astropy/table/tests/test_item_access.py::TestTableItems::test_table_slice[True] PASSED astropy/table/tests/test_item_access.py::TestTableItems::test_fancy_index_slice[False] PASSED astropy/table/tests/test_item_access.py::TestTableItems::test_fancy_index_slice[True] PASSED astropy/table/tests/test_item_access.py::TestTableItems::test_list_index_slice[False] PASSED astropy/table/tests/test_item_access.py::TestTableItems::test_list_index_slice[True] PASSED astropy/table/tests/test_item_access.py::TestTableItems::test_select_columns[False] PASSED astropy/table/tests/test_item_access.py::TestTableItems::test_select_columns[True] PASSED astropy/table/tests/test_item_access.py::TestTableItems::test_select_columns_fail[False] PASSED astropy/table/tests/test_item_access.py::TestTableItems::test_select_columns_fail[True] PASSED astropy/table/tests/test_item_access.py::TestTableItems::test_np_where[False] PASSED astropy/table/tests/test_item_access.py::TestTableItems::test_np_where[True] PASSED astropy/table/tests/test_item_access.py::TestTableItems::test_np_integers[False] PASSED astropy/table/tests/test_item_access.py::TestTableItems::test_np_integers[True] PASSED astropy/table/tests/test_item_access.py::TestTableItems::test_select_bad_column[False] PASSED astropy/table/tests/test_item_access.py::TestTableItems::test_select_bad_column[True] PASSED astropy/table/tests/test_item_access.py::TestTableColumnsItems::test_by_name[False] PASSED astropy/table/tests/test_item_access.py::TestTableColumnsItems::test_by_name[True] PASSED astropy/table/tests/test_item_access.py::TestTableColumnsItems::test_by_position[False] PASSED astropy/table/tests/test_item_access.py::TestTableColumnsItems::test_by_position[True] PASSED astropy/table/tests/test_item_access.py::TestTableColumnsItems::test_mult_columns[False] PASSED astropy/table/tests/test_item_access.py::TestTableColumnsItems::test_mult_columns[True] PASSED astropy/table/tests/test_item_access.py::TestTableColumnsItems::test_column_slice[False] PASSED astropy/table/tests/test_item_access.py::TestTableColumnsItems::test_column_slice[True] PASSED astropy/table/tests/test_item_access.py::TestTableItems::test_column[False-10] PASSED astropy/table/tests/test_item_access.py::TestTableItems::test_column[False-11] PASSED astropy/table/tests/test_item_access.py::TestTableItems::test_column[False-idx2] PASSED astropy/table/tests/test_item_access.py::TestTableItems::test_column[True-10] PASSED astropy/table/tests/test_item_access.py::TestTableItems::test_column[True-11] PASSED astropy/table/tests/test_item_access.py::TestTableItems::test_column[True-idx2] PASSED astropy/table/tests/test_item_access.py::TestTableItems::test_row[False-10] PASSED astropy/table/tests/test_item_access.py::TestTableItems::test_row[False-11] PASSED astropy/table/tests/test_item_access.py::TestTableItems::test_row[False-idx2] PASSED astropy/table/tests/test_item_access.py::TestTableItems::test_row[True-10] PASSED astropy/table/tests/test_item_access.py::TestTableItems::test_row[True-11] PASSED astropy/table/tests/test_item_access.py::TestTableItems::test_row[True-idx2] PASSED astropy/table/tests/test_item_access.py::TestTableItems::test_empty_iterable_item[False] PASSED astropy/table/tests/test_item_access.py::TestTableItems::test_empty_iterable_item[True] PASSED astropy/table/tests/test_item_access.py::TestTableItems::test_table_slice[False] PASSED astropy/table/tests/test_item_access.py::TestTableItems::test_table_slice[True] PASSED astropy/table/tests/test_item_access.py::TestTableItems::test_fancy_index_slice[False] PASSED astropy/table/tests/test_item_access.py::TestTableItems::test_fancy_index_slice[True] PASSED astropy/table/tests/test_item_access.py::TestTableItems::test_list_index_slice[False] PASSED astropy/table/tests/test_item_access.py::TestTableItems::test_list_index_slice[True] PASSED astropy/table/tests/test_item_access.py::TestTableItems::test_select_columns[False] PASSED astropy/table/tests/test_item_access.py::TestTableItems::test_select_columns[True] PASSED astropy/table/tests/test_item_access.py::TestTableItems::test_select_columns_fail[False] PASSED astropy/table/tests/test_item_access.py::TestTableItems::test_select_columns_fail[True] PASSED astropy/table/tests/test_item_access.py::TestTableItems::test_np_where[False] PASSED astropy/table/tests/test_item_access.py::TestTableItems::test_np_where[True] PASSED astropy/table/tests/test_item_access.py::TestTableItems::test_np_integers[False] PASSED astropy/table/tests/test_item_access.py::TestTableItems::test_np_integers[True] PASSED astropy/table/tests/test_item_access.py::TestTableItems::test_select_bad_column[False] PASSED astropy/table/tests/test_item_access.py::TestTableItems::test_select_bad_column[True] PASSED astropy/table/tests/test_jsviewer.py::test_write_jsviewer_default PASSED astropy/table/tests/test_jsviewer.py::test_write_jsviewer_options PASSED astropy/table/tests/test_jsviewer.py::test_write_jsviewer_local PASSED astropy/table/tests/test_jsviewer.py::test_show_in_notebook SKIPPED astropy/table/tests/test_masked.py::TestPprint::test_pformat PASSED astropy/table/tests/test_masked.py::TestFilled::test_filled_column PASSED astropy/table/tests/test_masked.py::TestFilled::test_filled_masked_table[True] PASSED astropy/table/tests/test_masked.py::TestFilled::test_filled_masked_table[False] PASSED astropy/table/tests/test_masked.py::TestFilled::test_filled_unmasked_table[True] PASSED astropy/table/tests/test_masked.py::TestFilled::test_filled_unmasked_table[False] PASSED astropy/table/tests/test_masked.py::TestFillValue::test_init_set_fill_value PASSED astropy/table/tests/test_masked.py::TestFillValue::test_set_get_fill_value_for_bare_column PASSED astropy/table/tests/test_masked.py::TestFillValue::test_set_get_fill_value_for_str_column PASSED astropy/table/tests/test_masked.py::TestFillValue::test_table_column_mask_not_ref PASSED astropy/table/tests/test_masked.py::TestFillValue::test_set_get_fill_value_for_table_column PASSED astropy/table/tests/test_masked.py::TestFillValue::test_data_attribute_fill_and_mask PASSED astropy/table/tests/test_masked.py::TestMaskedColumnInit::test_set_mask_and_not_ref PASSED astropy/table/tests/test_masked.py::TestMaskedColumnInit::test_set_mask_from_list PASSED astropy/table/tests/test_masked.py::TestMaskedColumnInit::test_override_existing_mask PASSED astropy/table/tests/test_masked.py::TestMaskedColumnInit::test_incomplete_mask_spec PASSED astropy/table/tests/test_masked.py::TestTableInit::test_mask_true_if_any_input_masked PASSED astropy/table/tests/test_masked.py::TestTableInit::test_mask_false_if_no_input_masked PASSED astropy/table/tests/test_masked.py::TestTableInit::test_mask_property PASSED astropy/table/tests/test_masked.py::TestAddColumn::test_add_masked_column_to_masked_table PASSED astropy/table/tests/test_masked.py::TestAddColumn::test_add_masked_column_to_non_masked_table PASSED astropy/table/tests/test_masked.py::TestAddColumn::test_add_non_masked_column_to_masked_table PASSED astropy/table/tests/test_masked.py::TestAddColumn::test_convert_to_masked_table_only_if_necessary PASSED astropy/table/tests/test_masked.py::TestRenameColumn::test_rename_masked_column PASSED astropy/table/tests/test_masked.py::TestRemoveColumn::test_remove_masked_column PASSED astropy/table/tests/test_masked.py::TestAddRow::test_add_masked_row_to_masked_table_iterable PASSED astropy/table/tests/test_masked.py::TestAddRow::test_add_masked_row_to_masked_table_mapping1 PASSED astropy/table/tests/test_masked.py::TestAddRow::test_add_masked_row_to_masked_table_mapping2 PASSED astropy/table/tests/test_masked.py::TestAddRow::test_add_masked_row_to_masked_table_mapping3 PASSED astropy/table/tests/test_masked.py::TestAddRow::test_add_masked_row_to_masked_table_mapping4 PASSED astropy/table/tests/test_masked.py::TestAddRow::test_add_masked_row_to_masked_table_mismatch PASSED astropy/table/tests/test_masked.py::TestAddRow::test_add_masked_row_to_non_masked_table_iterable PASSED astropy/table/tests/test_masked.py::test_setting_from_masked_column PASSED astropy/table/tests/test_masked.py::test_coercing_fill_value_type PASSED astropy/table/tests/test_masked.py::TestPprint::test_pformat PASSED astropy/table/tests/test_masked.py::TestFilled::test_filled_column PASSED astropy/table/tests/test_masked.py::TestFilled::test_filled_masked_table[True] PASSED astropy/table/tests/test_masked.py::TestFilled::test_filled_masked_table[False] PASSED astropy/table/tests/test_masked.py::TestFilled::test_filled_unmasked_table[True] PASSED astropy/table/tests/test_masked.py::TestFilled::test_filled_unmasked_table[False] PASSED astropy/table/tests/test_masked.py::TestFillValue::test_init_set_fill_value PASSED astropy/table/tests/test_masked.py::TestFillValue::test_set_get_fill_value_for_bare_column PASSED astropy/table/tests/test_masked.py::TestFillValue::test_set_get_fill_value_for_str_column PASSED astropy/table/tests/test_masked.py::TestFillValue::test_table_column_mask_not_ref PASSED astropy/table/tests/test_masked.py::TestFillValue::test_set_get_fill_value_for_table_column PASSED astropy/table/tests/test_masked.py::TestFillValue::test_data_attribute_fill_and_mask PASSED astropy/table/tests/test_masked.py::TestMaskedColumnInit::test_set_mask_and_not_ref PASSED astropy/table/tests/test_masked.py::TestMaskedColumnInit::test_set_mask_from_list PASSED astropy/table/tests/test_masked.py::TestMaskedColumnInit::test_override_existing_mask PASSED astropy/table/tests/test_masked.py::TestMaskedColumnInit::test_incomplete_mask_spec PASSED astropy/table/tests/test_masked.py::TestTableInit::test_mask_true_if_any_input_masked PASSED astropy/table/tests/test_masked.py::TestTableInit::test_mask_false_if_no_input_masked PASSED astropy/table/tests/test_masked.py::TestTableInit::test_mask_property PASSED astropy/table/tests/test_masked.py::TestAddColumn::test_add_masked_column_to_masked_table PASSED astropy/table/tests/test_masked.py::TestAddColumn::test_add_masked_column_to_non_masked_table PASSED astropy/table/tests/test_masked.py::TestAddColumn::test_add_non_masked_column_to_masked_table PASSED astropy/table/tests/test_masked.py::TestAddColumn::test_convert_to_masked_table_only_if_necessary PASSED astropy/table/tests/test_masked.py::TestRenameColumn::test_rename_masked_column PASSED astropy/table/tests/test_masked.py::TestRemoveColumn::test_remove_masked_column PASSED astropy/table/tests/test_masked.py::TestAddRow::test_add_masked_row_to_masked_table_iterable PASSED astropy/table/tests/test_masked.py::TestAddRow::test_add_masked_row_to_masked_table_mapping1 PASSED astropy/table/tests/test_masked.py::TestAddRow::test_add_masked_row_to_masked_table_mapping2 PASSED astropy/table/tests/test_masked.py::TestAddRow::test_add_masked_row_to_masked_table_mapping3 PASSED astropy/table/tests/test_masked.py::TestAddRow::test_add_masked_row_to_masked_table_mapping4 PASSED astropy/table/tests/test_masked.py::TestAddRow::test_add_masked_row_to_masked_table_mismatch PASSED astropy/table/tests/test_masked.py::TestAddRow::test_add_masked_row_to_non_masked_table_iterable PASSED astropy/table/tests/test_masked.py::test_setting_from_masked_column PASSED astropy/table/tests/test_masked.py::test_coercing_fill_value_type PASSED astropy/table/tests/test_mixin.py::test_attributes[arraywrap] PASSED astropy/table/tests/test_mixin.py::test_attributes[earthlocation] PASSED astropy/table/tests/test_mixin.py::test_attributes[latitude] PASSED astropy/table/tests/test_mixin.py::test_attributes[longitude] PASSED astropy/table/tests/test_mixin.py::test_attributes[ndarray] PASSED astropy/table/tests/test_mixin.py::test_attributes[quantity] PASSED astropy/table/tests/test_mixin.py::test_attributes[skycoord] PASSED astropy/table/tests/test_mixin.py::test_attributes[time] PASSED astropy/table/tests/test_mixin.py::test_make_table[unmasked-arraywrap] PASSED astropy/table/tests/test_mixin.py::test_make_table[unmasked-earthlocation] PASSED astropy/table/tests/test_mixin.py::test_make_table[unmasked-latitude] PASSED astropy/table/tests/test_mixin.py::test_make_table[unmasked-longitude] PASSED astropy/table/tests/test_mixin.py::test_make_table[unmasked-ndarray] PASSED astropy/table/tests/test_mixin.py::test_make_table[unmasked-quantity] PASSED astropy/table/tests/test_mixin.py::test_make_table[unmasked-skycoord] PASSED astropy/table/tests/test_mixin.py::test_make_table[unmasked-time] PASSED astropy/table/tests/test_mixin.py::test_make_table[masked-arraywrap] PASSED astropy/table/tests/test_mixin.py::test_make_table[masked-earthlocation] PASSED astropy/table/tests/test_mixin.py::test_make_table[masked-latitude] PASSED astropy/table/tests/test_mixin.py::test_make_table[masked-longitude] PASSED astropy/table/tests/test_mixin.py::test_make_table[masked-ndarray] PASSED astropy/table/tests/test_mixin.py::test_make_table[masked-quantity] PASSED astropy/table/tests/test_mixin.py::test_make_table[masked-skycoord] PASSED astropy/table/tests/test_mixin.py::test_make_table[masked-time] PASSED astropy/table/tests/test_mixin.py::test_make_table[subclass-arraywrap] PASSED astropy/table/tests/test_mixin.py::test_make_table[subclass-earthlocation] PASSED astropy/table/tests/test_mixin.py::test_make_table[subclass-latitude] PASSED astropy/table/tests/test_mixin.py::test_make_table[subclass-longitude] PASSED astropy/table/tests/test_mixin.py::test_make_table[subclass-ndarray] PASSED astropy/table/tests/test_mixin.py::test_make_table[subclass-quantity] PASSED astropy/table/tests/test_mixin.py::test_make_table[subclass-skycoord] PASSED astropy/table/tests/test_mixin.py::test_make_table[subclass-time] PASSED astropy/table/tests/test_mixin.py::test_io_ascii_write PASSED astropy/table/tests/test_mixin.py::test_io_quantity_write PASSED astropy/table/tests/test_mixin.py::test_io_write_fail[arraywrap] PASSED astropy/table/tests/test_mixin.py::test_io_write_fail[earthlocation] SKIPPED astropy/table/tests/test_mixin.py::test_io_write_fail[latitude] SKIPPED astropy/table/tests/test_mixin.py::test_io_write_fail[longitude] SKIPPED astropy/table/tests/test_mixin.py::test_io_write_fail[ndarray] PASSED astropy/table/tests/test_mixin.py::test_io_write_fail[quantity] SKIPPED astropy/table/tests/test_mixin.py::test_io_write_fail[skycoord] PASSED astropy/table/tests/test_mixin.py::test_io_write_fail[time] PASSED astropy/table/tests/test_mixin.py::test_join[unmasked] PASSED astropy/table/tests/test_mixin.py::test_join[masked] PASSED astropy/table/tests/test_mixin.py::test_join[subclass] PASSED astropy/table/tests/test_mixin.py::test_hstack[unmasked] PASSED astropy/table/tests/test_mixin.py::test_hstack[masked] PASSED astropy/table/tests/test_mixin.py::test_hstack[subclass] PASSED astropy/table/tests/test_mixin.py::test_get_items[arraywrap] PASSED astropy/table/tests/test_mixin.py::test_get_items[earthlocation] PASSED astropy/table/tests/test_mixin.py::test_get_items[latitude] PASSED astropy/table/tests/test_mixin.py::test_get_items[longitude] PASSED astropy/table/tests/test_mixin.py::test_get_items[ndarray] PASSED astropy/table/tests/test_mixin.py::test_get_items[quantity] PASSED astropy/table/tests/test_mixin.py::test_get_items[skycoord] PASSED astropy/table/tests/test_mixin.py::test_get_items[time] PASSED astropy/table/tests/test_mixin.py::test_info_preserved_pickle_copy_init[arraywrap] PASSED astropy/table/tests/test_mixin.py::test_info_preserved_pickle_copy_init[earthlocation] PASSED astropy/table/tests/test_mixin.py::test_info_preserved_pickle_copy_init[latitude] PASSED astropy/table/tests/test_mixin.py::test_info_preserved_pickle_copy_init[longitude] PASSED astropy/table/tests/test_mixin.py::test_info_preserved_pickle_copy_init[ndarray] PASSED astropy/table/tests/test_mixin.py::test_info_preserved_pickle_copy_init[quantity] PASSED astropy/table/tests/test_mixin.py::test_info_preserved_pickle_copy_init[skycoord] PASSED astropy/table/tests/test_mixin.py::test_info_preserved_pickle_copy_init[time] PASSED astropy/table/tests/test_mixin.py::test_add_column[arraywrap] PASSED astropy/table/tests/test_mixin.py::test_add_column[earthlocation] PASSED astropy/table/tests/test_mixin.py::test_add_column[latitude] PASSED astropy/table/tests/test_mixin.py::test_add_column[longitude] PASSED astropy/table/tests/test_mixin.py::test_add_column[ndarray] PASSED astropy/table/tests/test_mixin.py::test_add_column[quantity] PASSED astropy/table/tests/test_mixin.py::test_add_column[skycoord] PASSED astropy/table/tests/test_mixin.py::test_add_column[time] PASSED astropy/table/tests/test_mixin.py::test_vstack PASSED astropy/table/tests/test_mixin.py::test_insert_row[arraywrap] PASSED astropy/table/tests/test_mixin.py::test_insert_row[earthlocation] PASSED astropy/table/tests/test_mixin.py::test_insert_row[latitude] PASSED astropy/table/tests/test_mixin.py::test_insert_row[longitude] PASSED astropy/table/tests/test_mixin.py::test_insert_row[ndarray] PASSED astropy/table/tests/test_mixin.py::test_insert_row[quantity] PASSED astropy/table/tests/test_mixin.py::test_insert_row[skycoord] PASSED astropy/table/tests/test_mixin.py::test_insert_row[time] PASSED astropy/table/tests/test_mixin.py::test_insert_row_bad_unit PASSED astropy/table/tests/test_mixin.py::test_convert_np_array[arraywrap] PASSED astropy/table/tests/test_mixin.py::test_convert_np_array[earthlocation] PASSED astropy/table/tests/test_mixin.py::test_convert_np_array[latitude] PASSED astropy/table/tests/test_mixin.py::test_convert_np_array[longitude] PASSED astropy/table/tests/test_mixin.py::test_convert_np_array[ndarray] PASSED astropy/table/tests/test_mixin.py::test_convert_np_array[quantity] PASSED astropy/table/tests/test_mixin.py::test_convert_np_array[skycoord] PASSED astropy/table/tests/test_mixin.py::test_convert_np_array[time] PASSED astropy/table/tests/test_mixin.py::test_assignment_and_copy PASSED astropy/table/tests/test_mixin.py::test_grouping PASSED astropy/table/tests/test_mixin.py::test_conversion_qtable_table PASSED astropy/table/tests/test_mixin.py::test_column_rename XPASS astropy/table/tests/test_mixin.py::test_setitem_as_column_name PASSED astropy/table/tests/test_mixin.py::test_quantity_representation PASSED astropy/table/tests/test_mixin.py::test_skycoord_representation PASSED astropy/table/tests/test_mixin.py::test_ndarray_mixin PASSED astropy/table/tests/test_mixin.py::test_possible_string_format_functions PASSED astropy/table/tests/test_mixin.py::test_rename_mixin_columns[arraywrap] PASSED astropy/table/tests/test_mixin.py::test_rename_mixin_columns[earthlocation] PASSED astropy/table/tests/test_mixin.py::test_rename_mixin_columns[latitude] PASSED astropy/table/tests/test_mixin.py::test_rename_mixin_columns[longitude] PASSED astropy/table/tests/test_mixin.py::test_rename_mixin_columns[ndarray] PASSED astropy/table/tests/test_mixin.py::test_rename_mixin_columns[quantity] PASSED astropy/table/tests/test_mixin.py::test_rename_mixin_columns[skycoord] PASSED astropy/table/tests/test_mixin.py::test_rename_mixin_columns[time] PASSED astropy/table/tests/test_np_utils.py::test_common_dtype PASSED astropy/table/tests/test_operations.py::TestJoin::test_table_meta_merge[Table] PASSED astropy/table/tests/test_operations.py::TestJoin::test_table_meta_merge[QTable] PASSED astropy/table/tests/test_operations.py::TestJoin::test_table_meta_merge_conflict[Table] PASSED astropy/table/tests/test_operations.py::TestJoin::test_table_meta_merge_conflict[QTable] PASSED astropy/table/tests/test_operations.py::TestJoin::test_both_unmasked_inner[Table] PASSED astropy/table/tests/test_operations.py::TestJoin::test_both_unmasked_inner[QTable] PASSED astropy/table/tests/test_operations.py::TestJoin::test_both_unmasked_left_right_outer[Table] PASSED astropy/table/tests/test_operations.py::TestJoin::test_both_unmasked_left_right_outer[QTable] xfail astropy/table/tests/test_operations.py::TestJoin::test_both_unmasked_single_key_inner[Table] PASSED astropy/table/tests/test_operations.py::TestJoin::test_both_unmasked_single_key_inner[QTable] PASSED astropy/table/tests/test_operations.py::TestJoin::test_both_unmasked_single_key_left_right_outer[Table] PASSED astropy/table/tests/test_operations.py::TestJoin::test_both_unmasked_single_key_left_right_outer[QTable] xfail astropy/table/tests/test_operations.py::TestJoin::test_masked_unmasked[Table] PASSED astropy/table/tests/test_operations.py::TestJoin::test_masked_unmasked[QTable] xfail astropy/table/tests/test_operations.py::TestJoin::test_masked_masked[Table] PASSED astropy/table/tests/test_operations.py::TestJoin::test_masked_masked[QTable] xfail astropy/table/tests/test_operations.py::TestJoin::test_col_rename[Table] PASSED astropy/table/tests/test_operations.py::TestJoin::test_col_rename[QTable] PASSED astropy/table/tests/test_operations.py::TestJoin::test_rename_conflict[Table] PASSED astropy/table/tests/test_operations.py::TestJoin::test_rename_conflict[QTable] PASSED astropy/table/tests/test_operations.py::TestJoin::test_missing_keys[Table] PASSED astropy/table/tests/test_operations.py::TestJoin::test_missing_keys[QTable] PASSED astropy/table/tests/test_operations.py::TestJoin::test_bad_join_type[Table] PASSED astropy/table/tests/test_operations.py::TestJoin::test_bad_join_type[QTable] PASSED astropy/table/tests/test_operations.py::TestJoin::test_no_common_keys[Table] PASSED astropy/table/tests/test_operations.py::TestJoin::test_no_common_keys[QTable] PASSED astropy/table/tests/test_operations.py::TestJoin::test_masked_key_column[Table] PASSED astropy/table/tests/test_operations.py::TestJoin::test_masked_key_column[QTable] xfail astropy/table/tests/test_operations.py::TestJoin::test_col_meta_merge[Table] PASSED astropy/table/tests/test_operations.py::TestJoin::test_col_meta_merge[QTable] PASSED astropy/table/tests/test_operations.py::TestJoin::test_join_multidimensional[Table] PASSED astropy/table/tests/test_operations.py::TestJoin::test_join_multidimensional[QTable] PASSED astropy/table/tests/test_operations.py::TestJoin::test_join_multidimensional_masked[Table] PASSED astropy/table/tests/test_operations.py::TestJoin::test_join_multidimensional_masked[QTable] xfail astropy/table/tests/test_operations.py::TestVStack::test_stack_rows[Table] PASSED astropy/table/tests/test_operations.py::TestVStack::test_stack_rows[QTable] PASSED astropy/table/tests/test_operations.py::TestVStack::test_table_meta_merge[Table] PASSED astropy/table/tests/test_operations.py::TestVStack::test_table_meta_merge[QTable] PASSED astropy/table/tests/test_operations.py::TestVStack::test_table_meta_merge_conflict[Table] PASSED astropy/table/tests/test_operations.py::TestVStack::test_table_meta_merge_conflict[QTable] PASSED astropy/table/tests/test_operations.py::TestVStack::test_bad_input_type[Table] PASSED astropy/table/tests/test_operations.py::TestVStack::test_bad_input_type[QTable] PASSED astropy/table/tests/test_operations.py::TestVStack::test_stack_basic_inner[Table] PASSED astropy/table/tests/test_operations.py::TestVStack::test_stack_basic_inner[QTable] PASSED astropy/table/tests/test_operations.py::TestVStack::test_stack_basic_outer[Table] PASSED astropy/table/tests/test_operations.py::TestVStack::test_stack_basic_outer[QTable] xfail astropy/table/tests/test_operations.py::TestVStack::test_stack_incompatible[Table] PASSED astropy/table/tests/test_operations.py::TestVStack::test_stack_incompatible[QTable] PASSED astropy/table/tests/test_operations.py::TestVStack::test_vstack_one_masked[Table] PASSED astropy/table/tests/test_operations.py::TestVStack::test_vstack_one_masked[QTable] xfail astropy/table/tests/test_operations.py::TestVStack::test_col_meta_merge_inner[Table] XPASS astropy/table/tests/test_operations.py::TestVStack::test_col_meta_merge_inner[QTable] XPASS astropy/table/tests/test_operations.py::TestVStack::test_col_meta_merge_outer[Table] PASSED astropy/table/tests/test_operations.py::TestVStack::test_col_meta_merge_outer[QTable] xfail astropy/table/tests/test_operations.py::TestVStack::test_vstack_one_table[Table] PASSED astropy/table/tests/test_operations.py::TestVStack::test_vstack_one_table[QTable] PASSED astropy/table/tests/test_operations.py::TestVStack::test_check_for_mixin_functionality[arraywrap] PASSED astropy/table/tests/test_operations.py::TestVStack::test_check_for_mixin_functionality[earthlocation] PASSED astropy/table/tests/test_operations.py::TestVStack::test_check_for_mixin_functionality[latitude] PASSED astropy/table/tests/test_operations.py::TestVStack::test_check_for_mixin_functionality[longitude] PASSED astropy/table/tests/test_operations.py::TestVStack::test_check_for_mixin_functionality[ndarray] PASSED astropy/table/tests/test_operations.py::TestVStack::test_check_for_mixin_functionality[quantity] PASSED astropy/table/tests/test_operations.py::TestVStack::test_check_for_mixin_functionality[skycoord] PASSED astropy/table/tests/test_operations.py::TestVStack::test_check_for_mixin_functionality[time] PASSED astropy/table/tests/test_operations.py::TestHStack::test_stack_same_table[Table] PASSED astropy/table/tests/test_operations.py::TestHStack::test_stack_same_table[QTable] PASSED astropy/table/tests/test_operations.py::TestHStack::test_stack_rows[Table] PASSED astropy/table/tests/test_operations.py::TestHStack::test_stack_rows[QTable] PASSED astropy/table/tests/test_operations.py::TestHStack::test_table_meta_merge[Table] PASSED astropy/table/tests/test_operations.py::TestHStack::test_table_meta_merge[QTable] PASSED astropy/table/tests/test_operations.py::TestHStack::test_table_meta_merge_conflict[Table] PASSED astropy/table/tests/test_operations.py::TestHStack::test_table_meta_merge_conflict[QTable] PASSED astropy/table/tests/test_operations.py::TestHStack::test_bad_input_type[Table] PASSED astropy/table/tests/test_operations.py::TestHStack::test_bad_input_type[QTable] PASSED astropy/table/tests/test_operations.py::TestHStack::test_stack_basic[Table] PASSED astropy/table/tests/test_operations.py::TestHStack::test_stack_basic[QTable] PASSED astropy/table/tests/test_operations.py::TestHStack::test_stack_incompatible[Table] PASSED astropy/table/tests/test_operations.py::TestHStack::test_stack_incompatible[QTable] PASSED astropy/table/tests/test_operations.py::TestHStack::test_hstack_one_masked[Table] PASSED astropy/table/tests/test_operations.py::TestHStack::test_hstack_one_masked[QTable] xfail astropy/table/tests/test_operations.py::TestHStack::test_table_col_rename[Table] PASSED astropy/table/tests/test_operations.py::TestHStack::test_table_col_rename[QTable] PASSED astropy/table/tests/test_operations.py::TestHStack::test_col_meta_merge[Table] PASSED astropy/table/tests/test_operations.py::TestHStack::test_col_meta_merge[QTable] PASSED astropy/table/tests/test_operations.py::TestHStack::test_hstack_one_table[Table] PASSED astropy/table/tests/test_operations.py::TestHStack::test_hstack_one_table[QTable] PASSED astropy/table/tests/test_operations.py::test_unique[Table] PASSED astropy/table/tests/test_operations.py::test_unique[QTable] PASSED astropy/table/tests/test_operations.py::test_vstack_bytes[Table] PASSED astropy/table/tests/test_operations.py::test_vstack_bytes[QTable] PASSED astropy/table/tests/test_operations.py::test_vstack_unicode PASSED astropy/table/tests/test_operations.py::test_get_out_class PASSED astropy/table/tests/test_operations.py::test_masking_required_exception PASSED astropy/table/tests/test_operations.py::TestJoin::test_table_meta_merge[Table] PASSED astropy/table/tests/test_operations.py::TestJoin::test_table_meta_merge[QTable] PASSED astropy/table/tests/test_operations.py::TestJoin::test_table_meta_merge_conflict[Table] PASSED astropy/table/tests/test_operations.py::TestJoin::test_table_meta_merge_conflict[QTable] PASSED astropy/table/tests/test_operations.py::TestJoin::test_both_unmasked_inner[Table] PASSED astropy/table/tests/test_operations.py::TestJoin::test_both_unmasked_inner[QTable] PASSED astropy/table/tests/test_operations.py::TestJoin::test_both_unmasked_left_right_outer[Table] PASSED astropy/table/tests/test_operations.py::TestJoin::test_both_unmasked_left_right_outer[QTable] xfail astropy/table/tests/test_operations.py::TestJoin::test_both_unmasked_single_key_inner[Table] PASSED astropy/table/tests/test_operations.py::TestJoin::test_both_unmasked_single_key_inner[QTable] PASSED astropy/table/tests/test_operations.py::TestJoin::test_both_unmasked_single_key_left_right_outer[Table] PASSED astropy/table/tests/test_operations.py::TestJoin::test_both_unmasked_single_key_left_right_outer[QTable] xfail astropy/table/tests/test_operations.py::TestJoin::test_masked_unmasked[Table] PASSED astropy/table/tests/test_operations.py::TestJoin::test_masked_unmasked[QTable] xfail astropy/table/tests/test_operations.py::TestJoin::test_masked_masked[Table] PASSED astropy/table/tests/test_operations.py::TestJoin::test_masked_masked[QTable] xfail astropy/table/tests/test_operations.py::TestJoin::test_col_rename[Table] PASSED astropy/table/tests/test_operations.py::TestJoin::test_col_rename[QTable] PASSED astropy/table/tests/test_operations.py::TestJoin::test_rename_conflict[Table] PASSED astropy/table/tests/test_operations.py::TestJoin::test_rename_conflict[QTable] PASSED astropy/table/tests/test_operations.py::TestJoin::test_missing_keys[Table] PASSED astropy/table/tests/test_operations.py::TestJoin::test_missing_keys[QTable] PASSED astropy/table/tests/test_operations.py::TestJoin::test_bad_join_type[Table] PASSED astropy/table/tests/test_operations.py::TestJoin::test_bad_join_type[QTable] PASSED astropy/table/tests/test_operations.py::TestJoin::test_no_common_keys[Table] PASSED astropy/table/tests/test_operations.py::TestJoin::test_no_common_keys[QTable] PASSED astropy/table/tests/test_operations.py::TestJoin::test_masked_key_column[Table] PASSED astropy/table/tests/test_operations.py::TestJoin::test_masked_key_column[QTable] xfail astropy/table/tests/test_operations.py::TestJoin::test_col_meta_merge[Table] PASSED astropy/table/tests/test_operations.py::TestJoin::test_col_meta_merge[QTable] PASSED astropy/table/tests/test_operations.py::TestJoin::test_join_multidimensional[Table] PASSED astropy/table/tests/test_operations.py::TestJoin::test_join_multidimensional[QTable] PASSED astropy/table/tests/test_operations.py::TestJoin::test_join_multidimensional_masked[Table] PASSED astropy/table/tests/test_operations.py::TestJoin::test_join_multidimensional_masked[QTable] xfail astropy/table/tests/test_operations.py::TestVStack::test_stack_rows[Table] PASSED astropy/table/tests/test_operations.py::TestVStack::test_stack_rows[QTable] PASSED astropy/table/tests/test_operations.py::TestVStack::test_table_meta_merge[Table] PASSED astropy/table/tests/test_operations.py::TestVStack::test_table_meta_merge[QTable] PASSED astropy/table/tests/test_operations.py::TestVStack::test_table_meta_merge_conflict[Table] PASSED astropy/table/tests/test_operations.py::TestVStack::test_table_meta_merge_conflict[QTable] PASSED astropy/table/tests/test_operations.py::TestVStack::test_bad_input_type[Table] PASSED astropy/table/tests/test_operations.py::TestVStack::test_bad_input_type[QTable] PASSED astropy/table/tests/test_operations.py::TestVStack::test_stack_basic_inner[Table] PASSED astropy/table/tests/test_operations.py::TestVStack::test_stack_basic_inner[QTable] PASSED astropy/table/tests/test_operations.py::TestVStack::test_stack_basic_outer[Table] PASSED astropy/table/tests/test_operations.py::TestVStack::test_stack_basic_outer[QTable] xfail astropy/table/tests/test_operations.py::TestVStack::test_stack_incompatible[Table] PASSED astropy/table/tests/test_operations.py::TestVStack::test_stack_incompatible[QTable] PASSED astropy/table/tests/test_operations.py::TestVStack::test_vstack_one_masked[Table] PASSED astropy/table/tests/test_operations.py::TestVStack::test_vstack_one_masked[QTable] xfail astropy/table/tests/test_operations.py::TestVStack::test_col_meta_merge_inner[Table] XPASS astropy/table/tests/test_operations.py::TestVStack::test_col_meta_merge_inner[QTable] XPASS astropy/table/tests/test_operations.py::TestVStack::test_col_meta_merge_outer[Table] PASSED astropy/table/tests/test_operations.py::TestVStack::test_col_meta_merge_outer[QTable] xfail astropy/table/tests/test_operations.py::TestVStack::test_vstack_one_table[Table] PASSED astropy/table/tests/test_operations.py::TestVStack::test_vstack_one_table[QTable] PASSED astropy/table/tests/test_operations.py::TestVStack::test_check_for_mixin_functionality[arraywrap] PASSED astropy/table/tests/test_operations.py::TestVStack::test_check_for_mixin_functionality[earthlocation] PASSED astropy/table/tests/test_operations.py::TestVStack::test_check_for_mixin_functionality[latitude] PASSED astropy/table/tests/test_operations.py::TestVStack::test_check_for_mixin_functionality[longitude] PASSED astropy/table/tests/test_operations.py::TestVStack::test_check_for_mixin_functionality[ndarray] PASSED astropy/table/tests/test_operations.py::TestVStack::test_check_for_mixin_functionality[quantity] PASSED astropy/table/tests/test_operations.py::TestVStack::test_check_for_mixin_functionality[skycoord] PASSED astropy/table/tests/test_operations.py::TestVStack::test_check_for_mixin_functionality[time] PASSED astropy/table/tests/test_operations.py::TestHStack::test_stack_same_table[Table] PASSED astropy/table/tests/test_operations.py::TestHStack::test_stack_same_table[QTable] PASSED astropy/table/tests/test_operations.py::TestHStack::test_stack_rows[Table] PASSED astropy/table/tests/test_operations.py::TestHStack::test_stack_rows[QTable] PASSED astropy/table/tests/test_operations.py::TestHStack::test_table_meta_merge[Table] PASSED astropy/table/tests/test_operations.py::TestHStack::test_table_meta_merge[QTable] PASSED astropy/table/tests/test_operations.py::TestHStack::test_table_meta_merge_conflict[Table] PASSED astropy/table/tests/test_operations.py::TestHStack::test_table_meta_merge_conflict[QTable] PASSED astropy/table/tests/test_operations.py::TestHStack::test_bad_input_type[Table] PASSED astropy/table/tests/test_operations.py::TestHStack::test_bad_input_type[QTable] PASSED astropy/table/tests/test_operations.py::TestHStack::test_stack_basic[Table] PASSED astropy/table/tests/test_operations.py::TestHStack::test_stack_basic[QTable] PASSED astropy/table/tests/test_operations.py::TestHStack::test_stack_incompatible[Table] PASSED astropy/table/tests/test_operations.py::TestHStack::test_stack_incompatible[QTable] PASSED astropy/table/tests/test_operations.py::TestHStack::test_hstack_one_masked[Table] PASSED astropy/table/tests/test_operations.py::TestHStack::test_hstack_one_masked[QTable] xfail astropy/table/tests/test_operations.py::TestHStack::test_table_col_rename[Table] PASSED astropy/table/tests/test_operations.py::TestHStack::test_table_col_rename[QTable] PASSED astropy/table/tests/test_operations.py::TestHStack::test_col_meta_merge[Table] PASSED astropy/table/tests/test_operations.py::TestHStack::test_col_meta_merge[QTable] PASSED astropy/table/tests/test_operations.py::TestHStack::test_hstack_one_table[Table] PASSED astropy/table/tests/test_operations.py::TestHStack::test_hstack_one_table[QTable] PASSED astropy/table/tests/test_operations.py::test_unique[Table] PASSED astropy/table/tests/test_operations.py::test_unique[QTable] PASSED astropy/table/tests/test_operations.py::test_vstack_bytes[Table] PASSED astropy/table/tests/test_operations.py::test_vstack_bytes[QTable] PASSED astropy/table/tests/test_operations.py::test_vstack_unicode PASSED astropy/table/tests/test_operations.py::test_get_out_class PASSED astropy/table/tests/test_operations.py::test_masking_required_exception PASSED astropy/table/tests/test_pickle.py::test_pickle_column[0] PASSED astropy/table/tests/test_pickle.py::test_pickle_column[1] PASSED astropy/table/tests/test_pickle.py::test_pickle_column[2] PASSED astropy/table/tests/test_pickle.py::test_pickle_masked_column[0] PASSED astropy/table/tests/test_pickle.py::test_pickle_masked_column[1] PASSED astropy/table/tests/test_pickle.py::test_pickle_masked_column[2] PASSED astropy/table/tests/test_pickle.py::test_pickle_multidimensional_column[0] PASSED astropy/table/tests/test_pickle.py::test_pickle_multidimensional_column[1] PASSED astropy/table/tests/test_pickle.py::test_pickle_multidimensional_column[2] PASSED astropy/table/tests/test_pickle.py::test_pickle_table[0] PASSED astropy/table/tests/test_pickle.py::test_pickle_table[1] PASSED astropy/table/tests/test_pickle.py::test_pickle_table[2] PASSED astropy/table/tests/test_pickle.py::test_pickle_masked_table[0] PASSED astropy/table/tests/test_pickle.py::test_pickle_masked_table[1] PASSED astropy/table/tests/test_pickle.py::test_pickle_masked_table[2] PASSED astropy/table/tests/test_pickle.py::test_pickle_indexed_table[0] PASSED astropy/table/tests/test_pickle.py::test_pickle_indexed_table[1] PASSED astropy/table/tests/test_pickle.py::test_pickle_indexed_table[2] PASSED astropy/table/tests/test_pprint.py::TestMultiD::test_multidim[False] PASSED astropy/table/tests/test_pprint.py::TestMultiD::test_multidim[True] PASSED astropy/table/tests/test_pprint.py::TestMultiD::test_fake_multidim[False] PASSED astropy/table/tests/test_pprint.py::TestMultiD::test_fake_multidim[True] PASSED astropy/table/tests/test_pprint.py::test_html_escaping PASSED astropy/table/tests/test_pprint.py::TestPprint::test_empty_table[False] PASSED astropy/table/tests/test_pprint.py::TestPprint::test_empty_table[True] PASSED astropy/table/tests/test_pprint.py::TestPprint::test_format0[False] PASSED astropy/table/tests/test_pprint.py::TestPprint::test_format0[True] PASSED astropy/table/tests/test_pprint.py::TestPprint::test_format1[False] PASSED astropy/table/tests/test_pprint.py::TestPprint::test_format1[True] PASSED astropy/table/tests/test_pprint.py::TestPprint::test_format2[False] PASSED astropy/table/tests/test_pprint.py::TestPprint::test_format2[True] PASSED astropy/table/tests/test_pprint.py::TestPprint::test_format3[False] PASSED astropy/table/tests/test_pprint.py::TestPprint::test_format3[True] PASSED astropy/table/tests/test_pprint.py::TestPprint::test_format4[False] PASSED astropy/table/tests/test_pprint.py::TestPprint::test_format4[True] PASSED astropy/table/tests/test_pprint.py::TestPprint::test_noclip[False] PASSED astropy/table/tests/test_pprint.py::TestPprint::test_noclip[True] PASSED astropy/table/tests/test_pprint.py::TestPprint::test_clip1[False] PASSED astropy/table/tests/test_pprint.py::TestPprint::test_clip1[True] PASSED astropy/table/tests/test_pprint.py::TestPprint::test_clip2[False] PASSED astropy/table/tests/test_pprint.py::TestPprint::test_clip2[True] PASSED astropy/table/tests/test_pprint.py::TestPprint::test_clip3[False] PASSED astropy/table/tests/test_pprint.py::TestPprint::test_clip3[True] PASSED astropy/table/tests/test_pprint.py::TestPprint::test_clip4[False] PASSED astropy/table/tests/test_pprint.py::TestPprint::test_clip4[True] PASSED astropy/table/tests/test_pprint.py::TestFormat::test_column_format[False] PASSED astropy/table/tests/test_pprint.py::TestFormat::test_column_format[True] PASSED astropy/table/tests/test_pprint.py::TestFormat::test_column_format_with_threshold[False] PASSED astropy/table/tests/test_pprint.py::TestFormat::test_column_format_with_threshold[True] PASSED astropy/table/tests/test_pprint.py::TestFormat::test_column_format_func[False] PASSED astropy/table/tests/test_pprint.py::TestFormat::test_column_format_func[True] PASSED astropy/table/tests/test_pprint.py::TestFormat::test_column_format_callable[False] PASSED astropy/table/tests/test_pprint.py::TestFormat::test_column_format_callable[True] PASSED astropy/table/tests/test_pprint.py::TestFormat::test_column_format_func_wrong_number_args[False] PASSED astropy/table/tests/test_pprint.py::TestFormat::test_column_format_func_wrong_number_args[True] PASSED astropy/table/tests/test_pprint.py::TestFormat::test_column_format_func_multiD[False] PASSED astropy/table/tests/test_pprint.py::TestFormat::test_column_format_func_multiD[True] PASSED astropy/table/tests/test_pprint.py::TestFormat::test_column_format_func_not_str[False] PASSED astropy/table/tests/test_pprint.py::TestFormat::test_column_format_func_not_str[True] PASSED astropy/table/tests/test_pprint.py::TestFormat::test_column_alignment[False] PASSED astropy/table/tests/test_pprint.py::TestFormat::test_column_alignment[True] PASSED astropy/table/tests/test_pprint.py::TestFormatWithMaskedElements::test_column_format PASSED astropy/table/tests/test_pprint.py::TestFormatWithMaskedElements::test_column_format_with_threshold[False] PASSED astropy/table/tests/test_pprint.py::TestFormatWithMaskedElements::test_column_format_with_threshold[True] PASSED astropy/table/tests/test_pprint.py::TestFormatWithMaskedElements::test_column_format_func PASSED astropy/table/tests/test_pprint.py::TestFormatWithMaskedElements::test_column_format_func_with_special_masked PASSED astropy/table/tests/test_pprint.py::TestFormatWithMaskedElements::test_column_format_callable PASSED astropy/table/tests/test_pprint.py::TestFormatWithMaskedElements::test_column_format_func_wrong_number_args PASSED astropy/table/tests/test_pprint.py::TestFormatWithMaskedElements::test_column_format_func_multiD PASSED astropy/table/tests/test_pprint.py::test_pprint_npfloat32 PASSED astropy/table/tests/test_pprint.py::test_pprint_py3_bytes PASSED astropy/table/tests/test_pprint.py::test_pprint_nameless_col PASSED astropy/table/tests/test_pprint.py::test_html PASSED astropy/table/tests/test_pprint.py::test_align PASSED astropy/table/tests/test_pprint.py::test_auto_format_func PASSED astropy/table/tests/test_pprint.py::test_decode_replace PASSED astropy/table/tests/test_pprint.py::TestMultiD::test_multidim[False] PASSED astropy/table/tests/test_pprint.py::TestMultiD::test_multidim[True] PASSED astropy/table/tests/test_pprint.py::TestMultiD::test_fake_multidim[False] PASSED astropy/table/tests/test_pprint.py::TestMultiD::test_fake_multidim[True] PASSED astropy/table/tests/test_pprint.py::test_html_escaping PASSED astropy/table/tests/test_pprint.py::TestPprint::test_empty_table[False] PASSED astropy/table/tests/test_pprint.py::TestPprint::test_empty_table[True] PASSED astropy/table/tests/test_pprint.py::TestPprint::test_format0[False] PASSED astropy/table/tests/test_pprint.py::TestPprint::test_format0[True] PASSED astropy/table/tests/test_pprint.py::TestPprint::test_format1[False] PASSED astropy/table/tests/test_pprint.py::TestPprint::test_format1[True] PASSED astropy/table/tests/test_pprint.py::TestPprint::test_format2[False] PASSED astropy/table/tests/test_pprint.py::TestPprint::test_format2[True] PASSED astropy/table/tests/test_pprint.py::TestPprint::test_format3[False] PASSED astropy/table/tests/test_pprint.py::TestPprint::test_format3[True] PASSED astropy/table/tests/test_pprint.py::TestPprint::test_format4[False] PASSED astropy/table/tests/test_pprint.py::TestPprint::test_format4[True] PASSED astropy/table/tests/test_pprint.py::TestPprint::test_noclip[False] PASSED astropy/table/tests/test_pprint.py::TestPprint::test_noclip[True] PASSED astropy/table/tests/test_pprint.py::TestPprint::test_clip1[False] PASSED astropy/table/tests/test_pprint.py::TestPprint::test_clip1[True] PASSED astropy/table/tests/test_pprint.py::TestPprint::test_clip2[False] PASSED astropy/table/tests/test_pprint.py::TestPprint::test_clip2[True] PASSED astropy/table/tests/test_pprint.py::TestPprint::test_clip3[False] PASSED astropy/table/tests/test_pprint.py::TestPprint::test_clip3[True] PASSED astropy/table/tests/test_pprint.py::TestPprint::test_clip4[False] PASSED astropy/table/tests/test_pprint.py::TestPprint::test_clip4[True] PASSED astropy/table/tests/test_pprint.py::TestFormat::test_column_format[False] PASSED astropy/table/tests/test_pprint.py::TestFormat::test_column_format[True] PASSED astropy/table/tests/test_pprint.py::TestFormat::test_column_format_with_threshold[False] PASSED astropy/table/tests/test_pprint.py::TestFormat::test_column_format_with_threshold[True] PASSED astropy/table/tests/test_pprint.py::TestFormat::test_column_format_func[False] PASSED astropy/table/tests/test_pprint.py::TestFormat::test_column_format_func[True] PASSED astropy/table/tests/test_pprint.py::TestFormat::test_column_format_callable[False] PASSED astropy/table/tests/test_pprint.py::TestFormat::test_column_format_callable[True] PASSED astropy/table/tests/test_pprint.py::TestFormat::test_column_format_func_wrong_number_args[False] PASSED astropy/table/tests/test_pprint.py::TestFormat::test_column_format_func_wrong_number_args[True] PASSED astropy/table/tests/test_pprint.py::TestFormat::test_column_format_func_multiD[False] PASSED astropy/table/tests/test_pprint.py::TestFormat::test_column_format_func_multiD[True] PASSED astropy/table/tests/test_pprint.py::TestFormat::test_column_format_func_not_str[False] PASSED astropy/table/tests/test_pprint.py::TestFormat::test_column_format_func_not_str[True] PASSED astropy/table/tests/test_pprint.py::TestFormat::test_column_alignment[False] PASSED astropy/table/tests/test_pprint.py::TestFormat::test_column_alignment[True] PASSED astropy/table/tests/test_pprint.py::TestFormatWithMaskedElements::test_column_format PASSED astropy/table/tests/test_pprint.py::TestFormatWithMaskedElements::test_column_format_with_threshold[False] PASSED astropy/table/tests/test_pprint.py::TestFormatWithMaskedElements::test_column_format_with_threshold[True] PASSED astropy/table/tests/test_pprint.py::TestFormatWithMaskedElements::test_column_format_func PASSED astropy/table/tests/test_pprint.py::TestFormatWithMaskedElements::test_column_format_func_with_special_masked PASSED astropy/table/tests/test_pprint.py::TestFormatWithMaskedElements::test_column_format_callable PASSED astropy/table/tests/test_pprint.py::TestFormatWithMaskedElements::test_column_format_func_wrong_number_args PASSED astropy/table/tests/test_pprint.py::TestFormatWithMaskedElements::test_column_format_func_multiD PASSED astropy/table/tests/test_pprint.py::test_pprint_npfloat32 PASSED astropy/table/tests/test_pprint.py::test_pprint_py3_bytes PASSED astropy/table/tests/test_pprint.py::test_pprint_nameless_col PASSED astropy/table/tests/test_pprint.py::test_html PASSED astropy/table/tests/test_pprint.py::test_align PASSED astropy/table/tests/test_pprint.py::test_auto_format_func PASSED astropy/table/tests/test_pprint.py::test_decode_replace PASSED astropy/table/tests/test_row.py::test_masked_row_with_object_col PASSED astropy/table/tests/test_row.py::TestRow::test_subclass[unmasked] PASSED astropy/table/tests/test_row.py::TestRow::test_subclass[masked] PASSED astropy/table/tests/test_row.py::TestRow::test_subclass[subclass] PASSED astropy/table/tests/test_row.py::TestRow::test_values[unmasked] PASSED astropy/table/tests/test_row.py::TestRow::test_values[masked] PASSED astropy/table/tests/test_row.py::TestRow::test_values[subclass] PASSED astropy/table/tests/test_row.py::TestRow::test_ref[unmasked] PASSED astropy/table/tests/test_row.py::TestRow::test_ref[masked] PASSED astropy/table/tests/test_row.py::TestRow::test_ref[subclass] PASSED astropy/table/tests/test_row.py::TestRow::test_left_equal[unmasked] PASSED astropy/table/tests/test_row.py::TestRow::test_left_equal[masked] PASSED astropy/table/tests/test_row.py::TestRow::test_left_equal[subclass] PASSED astropy/table/tests/test_row.py::TestRow::test_left_not_equal[unmasked] PASSED astropy/table/tests/test_row.py::TestRow::test_left_not_equal[masked] PASSED astropy/table/tests/test_row.py::TestRow::test_left_not_equal[subclass] PASSED astropy/table/tests/test_row.py::TestRow::test_right_equal[unmasked] PASSED astropy/table/tests/test_row.py::TestRow::test_right_equal[masked] PASSED astropy/table/tests/test_row.py::TestRow::test_right_equal[subclass] PASSED astropy/table/tests/test_row.py::TestRow::test_convert_numpy_array[unmasked] PASSED astropy/table/tests/test_row.py::TestRow::test_convert_numpy_array[masked] PASSED astropy/table/tests/test_row.py::TestRow::test_convert_numpy_array[subclass] PASSED astropy/table/tests/test_row.py::TestRow::test_format_row[unmasked] PASSED astropy/table/tests/test_row.py::TestRow::test_format_row[masked] PASSED astropy/table/tests/test_row.py::TestRow::test_format_row[subclass] PASSED astropy/table/tests/test_row.py::TestRow::test_as_void[unmasked] PASSED astropy/table/tests/test_row.py::TestRow::test_as_void[masked] PASSED astropy/table/tests/test_row.py::TestRow::test_as_void[subclass] PASSED astropy/table/tests/test_row.py::TestRow::test_row_and_as_void_with_objects[unmasked] PASSED astropy/table/tests/test_row.py::TestRow::test_row_and_as_void_with_objects[masked] PASSED astropy/table/tests/test_row.py::TestRow::test_row_and_as_void_with_objects[subclass] PASSED astropy/table/tests/test_row.py::TestRow::test_bounds_checking[unmasked] PASSED astropy/table/tests/test_row.py::TestRow::test_bounds_checking[masked] PASSED astropy/table/tests/test_row.py::TestRow::test_bounds_checking[subclass] PASSED astropy/table/tests/test_row.py::test_masked_row_with_object_col PASSED astropy/table/tests/test_row.py::TestRow::test_subclass[unmasked] PASSED astropy/table/tests/test_row.py::TestRow::test_subclass[masked] PASSED astropy/table/tests/test_row.py::TestRow::test_subclass[subclass] PASSED astropy/table/tests/test_row.py::TestRow::test_values[unmasked] PASSED astropy/table/tests/test_row.py::TestRow::test_values[masked] PASSED astropy/table/tests/test_row.py::TestRow::test_values[subclass] PASSED astropy/table/tests/test_row.py::TestRow::test_ref[unmasked] PASSED astropy/table/tests/test_row.py::TestRow::test_ref[masked] PASSED astropy/table/tests/test_row.py::TestRow::test_ref[subclass] PASSED astropy/table/tests/test_row.py::TestRow::test_left_equal[unmasked] PASSED astropy/table/tests/test_row.py::TestRow::test_left_equal[masked] PASSED astropy/table/tests/test_row.py::TestRow::test_left_equal[subclass] PASSED astropy/table/tests/test_row.py::TestRow::test_left_not_equal[unmasked] PASSED astropy/table/tests/test_row.py::TestRow::test_left_not_equal[masked] PASSED astropy/table/tests/test_row.py::TestRow::test_left_not_equal[subclass] PASSED astropy/table/tests/test_row.py::TestRow::test_right_equal[unmasked] PASSED astropy/table/tests/test_row.py::TestRow::test_right_equal[masked] PASSED astropy/table/tests/test_row.py::TestRow::test_right_equal[subclass] PASSED astropy/table/tests/test_row.py::TestRow::test_convert_numpy_array[unmasked] PASSED astropy/table/tests/test_row.py::TestRow::test_convert_numpy_array[masked] PASSED astropy/table/tests/test_row.py::TestRow::test_convert_numpy_array[subclass] PASSED astropy/table/tests/test_row.py::TestRow::test_format_row[unmasked] PASSED astropy/table/tests/test_row.py::TestRow::test_format_row[masked] PASSED astropy/table/tests/test_row.py::TestRow::test_format_row[subclass] PASSED astropy/table/tests/test_row.py::TestRow::test_as_void[unmasked] PASSED astropy/table/tests/test_row.py::TestRow::test_as_void[masked] PASSED astropy/table/tests/test_row.py::TestRow::test_as_void[subclass] PASSED astropy/table/tests/test_row.py::TestRow::test_row_and_as_void_with_objects[unmasked] PASSED astropy/table/tests/test_row.py::TestRow::test_row_and_as_void_with_objects[masked] PASSED astropy/table/tests/test_row.py::TestRow::test_row_and_as_void_with_objects[subclass] PASSED astropy/table/tests/test_row.py::TestRow::test_bounds_checking[unmasked] PASSED astropy/table/tests/test_row.py::TestRow::test_bounds_checking[masked] PASSED astropy/table/tests/test_row.py::TestRow::test_bounds_checking[subclass] PASSED astropy/table/tests/test_subclass.py::test_simple_subclass PASSED astropy/table/tests/test_subclass.py::test_params_table PASSED astropy/table/tests/test_subclass.py::test_simple_subclass PASSED astropy/table/tests/test_subclass.py::test_params_table PASSED astropy/table/tests/test_table.py::TestSetTableColumn::test_set_row[unmasked] PASSED astropy/table/tests/test_table.py::TestSetTableColumn::test_set_row[masked] PASSED astropy/table/tests/test_table.py::TestSetTableColumn::test_set_row[subclass] PASSED astropy/table/tests/test_table.py::TestSetTableColumn::test_set_row_existing[unmasked] PASSED astropy/table/tests/test_table.py::TestSetTableColumn::test_set_row_existing[masked] PASSED astropy/table/tests/test_table.py::TestSetTableColumn::test_set_row_existing[subclass] PASSED astropy/table/tests/test_table.py::TestSetTableColumn::test_set_row_fail_1[unmasked] PASSED astropy/table/tests/test_table.py::TestSetTableColumn::test_set_row_fail_1[masked] PASSED astropy/table/tests/test_table.py::TestSetTableColumn::test_set_row_fail_1[subclass] PASSED astropy/table/tests/test_table.py::TestSetTableColumn::test_set_row_fail_2[unmasked] PASSED astropy/table/tests/test_table.py::TestSetTableColumn::test_set_row_fail_2[masked] PASSED astropy/table/tests/test_table.py::TestSetTableColumn::test_set_row_fail_2[subclass] PASSED astropy/table/tests/test_table.py::TestSetTableColumn::test_set_new_col_new_table[unmasked] PASSED astropy/table/tests/test_table.py::TestSetTableColumn::test_set_new_col_new_table[masked] PASSED astropy/table/tests/test_table.py::TestSetTableColumn::test_set_new_col_new_table[subclass] PASSED astropy/table/tests/test_table.py::TestSetTableColumn::test_set_new_col_new_table_quantity[unmasked] PASSED astropy/table/tests/test_table.py::TestSetTableColumn::test_set_new_col_new_table_quantity[masked] PASSED astropy/table/tests/test_table.py::TestSetTableColumn::test_set_new_col_new_table_quantity[subclass] PASSED astropy/table/tests/test_table.py::TestSetTableColumn::test_set_new_col_existing_table[unmasked] PASSED astropy/table/tests/test_table.py::TestSetTableColumn::test_set_new_col_existing_table[masked] PASSED astropy/table/tests/test_table.py::TestSetTableColumn::test_set_new_col_existing_table[subclass] PASSED astropy/table/tests/test_table.py::TestSetTableColumn::test_set_new_unmasked_col_existing_table[unmasked] PASSED astropy/table/tests/test_table.py::TestSetTableColumn::test_set_new_unmasked_col_existing_table[masked] PASSED astropy/table/tests/test_table.py::TestSetTableColumn::test_set_new_unmasked_col_existing_table[subclass] PASSED astropy/table/tests/test_table.py::TestSetTableColumn::test_set_new_masked_col_existing_table[unmasked] PASSED astropy/table/tests/test_table.py::TestSetTableColumn::test_set_new_masked_col_existing_table[masked] PASSED astropy/table/tests/test_table.py::TestSetTableColumn::test_set_new_masked_col_existing_table[subclass] PASSED astropy/table/tests/test_table.py::TestSetTableColumn::test_set_new_col_existing_table_fail[unmasked] PASSED astropy/table/tests/test_table.py::TestSetTableColumn::test_set_new_col_existing_table_fail[masked] PASSED astropy/table/tests/test_table.py::TestSetTableColumn::test_set_new_col_existing_table_fail[subclass] PASSED astropy/table/tests/test_table.py::TestEmptyData::test_1[unmasked] PASSED astropy/table/tests/test_table.py::TestEmptyData::test_1[masked] PASSED astropy/table/tests/test_table.py::TestEmptyData::test_1[subclass] PASSED astropy/table/tests/test_table.py::TestEmptyData::test_2[unmasked] PASSED astropy/table/tests/test_table.py::TestEmptyData::test_2[masked] PASSED astropy/table/tests/test_table.py::TestEmptyData::test_2[subclass] PASSED astropy/table/tests/test_table.py::TestEmptyData::test_3[unmasked] PASSED astropy/table/tests/test_table.py::TestEmptyData::test_3[masked] PASSED astropy/table/tests/test_table.py::TestEmptyData::test_3[subclass] PASSED astropy/table/tests/test_table.py::TestEmptyData::test_4[unmasked] PASSED astropy/table/tests/test_table.py::TestEmptyData::test_4[masked] PASSED astropy/table/tests/test_table.py::TestEmptyData::test_4[subclass] PASSED astropy/table/tests/test_table.py::TestEmptyData::test_5[unmasked] PASSED astropy/table/tests/test_table.py::TestEmptyData::test_5[masked] PASSED astropy/table/tests/test_table.py::TestEmptyData::test_5[subclass] PASSED astropy/table/tests/test_table.py::TestEmptyData::test_add_via_setitem_and_slice[unmasked] PASSED astropy/table/tests/test_table.py::TestEmptyData::test_add_via_setitem_and_slice[masked] PASSED astropy/table/tests/test_table.py::TestEmptyData::test_add_via_setitem_and_slice[subclass] PASSED astropy/table/tests/test_table.py::TestNewFromColumns::test_simple[unmasked] PASSED astropy/table/tests/test_table.py::TestNewFromColumns::test_simple[masked] PASSED astropy/table/tests/test_table.py::TestNewFromColumns::test_simple[subclass] PASSED astropy/table/tests/test_table.py::TestNewFromColumns::test_from_np_array[unmasked] PASSED astropy/table/tests/test_table.py::TestNewFromColumns::test_from_np_array[masked] PASSED astropy/table/tests/test_table.py::TestNewFromColumns::test_from_np_array[subclass] PASSED astropy/table/tests/test_table.py::TestNewFromColumns::test_size_mismatch[unmasked] PASSED astropy/table/tests/test_table.py::TestNewFromColumns::test_size_mismatch[masked] PASSED astropy/table/tests/test_table.py::TestNewFromColumns::test_size_mismatch[subclass] PASSED astropy/table/tests/test_table.py::TestNewFromColumns::test_name_none[unmasked] PASSED astropy/table/tests/test_table.py::TestNewFromColumns::test_name_none[masked] PASSED astropy/table/tests/test_table.py::TestNewFromColumns::test_name_none[subclass] PASSED astropy/table/tests/test_table.py::TestReverse::test_reverse[unmasked] PASSED astropy/table/tests/test_table.py::TestReverse::test_reverse[masked] PASSED astropy/table/tests/test_table.py::TestReverse::test_reverse[subclass] PASSED astropy/table/tests/test_table.py::TestReverse::test_reverse_big[unmasked] PASSED astropy/table/tests/test_table.py::TestReverse::test_reverse_big[masked] PASSED astropy/table/tests/test_table.py::TestReverse::test_reverse_big[subclass] PASSED astropy/table/tests/test_table.py::TestColumnAccess::test_1[unmasked] PASSED astropy/table/tests/test_table.py::TestColumnAccess::test_1[masked] PASSED astropy/table/tests/test_table.py::TestColumnAccess::test_1[subclass] PASSED astropy/table/tests/test_table.py::TestColumnAccess::test_2[unmasked] PASSED astropy/table/tests/test_table.py::TestColumnAccess::test_2[masked] PASSED astropy/table/tests/test_table.py::TestColumnAccess::test_2[subclass] PASSED astropy/table/tests/test_table.py::TestColumnAccess::test_itercols[unmasked] PASSED astropy/table/tests/test_table.py::TestColumnAccess::test_itercols[masked] PASSED astropy/table/tests/test_table.py::TestColumnAccess::test_itercols[subclass] PASSED astropy/table/tests/test_table.py::TestAddLength::test_right_length[unmasked] PASSED astropy/table/tests/test_table.py::TestAddLength::test_right_length[masked] PASSED astropy/table/tests/test_table.py::TestAddLength::test_right_length[subclass] PASSED astropy/table/tests/test_table.py::TestAddLength::test_too_long[unmasked] PASSED astropy/table/tests/test_table.py::TestAddLength::test_too_long[masked] PASSED astropy/table/tests/test_table.py::TestAddLength::test_too_long[subclass] PASSED astropy/table/tests/test_table.py::TestAddLength::test_too_short[unmasked] PASSED astropy/table/tests/test_table.py::TestAddLength::test_too_short[masked] PASSED astropy/table/tests/test_table.py::TestAddLength::test_too_short[subclass] PASSED astropy/table/tests/test_table.py::TestAddPosition::test_1[unmasked] PASSED astropy/table/tests/test_table.py::TestAddPosition::test_1[masked] PASSED astropy/table/tests/test_table.py::TestAddPosition::test_1[subclass] PASSED astropy/table/tests/test_table.py::TestAddPosition::test_2[unmasked] PASSED astropy/table/tests/test_table.py::TestAddPosition::test_2[masked] PASSED astropy/table/tests/test_table.py::TestAddPosition::test_2[subclass] PASSED astropy/table/tests/test_table.py::TestAddPosition::test_3[unmasked] PASSED astropy/table/tests/test_table.py::TestAddPosition::test_3[masked] PASSED astropy/table/tests/test_table.py::TestAddPosition::test_3[subclass] PASSED astropy/table/tests/test_table.py::TestAddPosition::test_5[unmasked] PASSED astropy/table/tests/test_table.py::TestAddPosition::test_5[masked] PASSED astropy/table/tests/test_table.py::TestAddPosition::test_5[subclass] PASSED astropy/table/tests/test_table.py::TestAddPosition::test_6[unmasked] PASSED astropy/table/tests/test_table.py::TestAddPosition::test_6[masked] PASSED astropy/table/tests/test_table.py::TestAddPosition::test_6[subclass] PASSED astropy/table/tests/test_table.py::TestAddPosition::test_7[unmasked] PASSED astropy/table/tests/test_table.py::TestAddPosition::test_7[masked] PASSED astropy/table/tests/test_table.py::TestAddPosition::test_7[subclass] PASSED astropy/table/tests/test_table.py::TestAddPosition::test_8[unmasked] PASSED astropy/table/tests/test_table.py::TestAddPosition::test_8[masked] PASSED astropy/table/tests/test_table.py::TestAddPosition::test_8[subclass] PASSED astropy/table/tests/test_table.py::TestAddPosition::test_9[unmasked] PASSED astropy/table/tests/test_table.py::TestAddPosition::test_9[masked] PASSED astropy/table/tests/test_table.py::TestAddPosition::test_9[subclass] PASSED astropy/table/tests/test_table.py::TestAddPosition::test_10[unmasked] PASSED astropy/table/tests/test_table.py::TestAddPosition::test_10[masked] PASSED astropy/table/tests/test_table.py::TestAddPosition::test_10[subclass] PASSED astropy/table/tests/test_table.py::TestAddName::test_override_name[unmasked] PASSED astropy/table/tests/test_table.py::TestAddName::test_override_name[masked] PASSED astropy/table/tests/test_table.py::TestAddName::test_override_name[subclass] PASSED astropy/table/tests/test_table.py::TestAddName::test_default_name[unmasked] PASSED astropy/table/tests/test_table.py::TestAddName::test_default_name[masked] PASSED astropy/table/tests/test_table.py::TestAddName::test_default_name[subclass] PASSED astropy/table/tests/test_table.py::TestInitFromTable::test_from_table_cols[unmasked] PASSED astropy/table/tests/test_table.py::TestInitFromTable::test_from_table_cols[masked] PASSED astropy/table/tests/test_table.py::TestInitFromTable::test_from_table_cols[subclass] PASSED astropy/table/tests/test_table.py::TestAddColumns::test_add_columns1[unmasked] PASSED astropy/table/tests/test_table.py::TestAddColumns::test_add_columns1[masked] PASSED astropy/table/tests/test_table.py::TestAddColumns::test_add_columns1[subclass] PASSED astropy/table/tests/test_table.py::TestAddColumns::test_add_columns2[unmasked] PASSED astropy/table/tests/test_table.py::TestAddColumns::test_add_columns2[masked] PASSED astropy/table/tests/test_table.py::TestAddColumns::test_add_columns2[subclass] PASSED astropy/table/tests/test_table.py::TestAddColumns::test_add_columns3[unmasked] PASSED astropy/table/tests/test_table.py::TestAddColumns::test_add_columns3[masked] PASSED astropy/table/tests/test_table.py::TestAddColumns::test_add_columns3[subclass] PASSED astropy/table/tests/test_table.py::TestAddColumns::test_add_columns4[unmasked] PASSED astropy/table/tests/test_table.py::TestAddColumns::test_add_columns4[masked] PASSED astropy/table/tests/test_table.py::TestAddColumns::test_add_columns4[subclass] PASSED astropy/table/tests/test_table.py::TestAddColumns::test_add_columns5[unmasked] PASSED astropy/table/tests/test_table.py::TestAddColumns::test_add_columns5[masked] PASSED astropy/table/tests/test_table.py::TestAddColumns::test_add_columns5[subclass] PASSED astropy/table/tests/test_table.py::TestAddColumns::test_add_columns6[unmasked] PASSED astropy/table/tests/test_table.py::TestAddColumns::test_add_columns6[masked] PASSED astropy/table/tests/test_table.py::TestAddColumns::test_add_columns6[subclass] PASSED astropy/table/tests/test_table.py::TestAddColumns::test_add_columns7[unmasked] PASSED astropy/table/tests/test_table.py::TestAddColumns::test_add_columns7[masked] PASSED astropy/table/tests/test_table.py::TestAddColumns::test_add_columns7[subclass] PASSED astropy/table/tests/test_table.py::TestAddColumns::test_add_duplicate_column[unmasked] PASSED astropy/table/tests/test_table.py::TestAddColumns::test_add_duplicate_column[masked] PASSED astropy/table/tests/test_table.py::TestAddColumns::test_add_duplicate_column[subclass] PASSED astropy/table/tests/test_table.py::TestAddColumns::test_add_duplicate_columns[unmasked] PASSED astropy/table/tests/test_table.py::TestAddColumns::test_add_duplicate_columns[masked] PASSED astropy/table/tests/test_table.py::TestAddColumns::test_add_duplicate_columns[subclass] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_none_to_empty_table[unmasked] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_none_to_empty_table[masked] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_none_to_empty_table[subclass] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_stuff_to_empty_table[unmasked] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_stuff_to_empty_table[masked] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_stuff_to_empty_table[subclass] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_table_row[unmasked] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_table_row[masked] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_table_row[subclass] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_table_row_obj[unmasked] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_table_row_obj[masked] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_table_row_obj[subclass] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_qtable_row_multidimensional[unmasked] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_qtable_row_multidimensional[masked] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_qtable_row_multidimensional[subclass] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_with_tuple[unmasked] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_with_tuple[masked] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_with_tuple[subclass] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_with_list[unmasked] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_with_list[masked] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_with_list[subclass] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_with_dict[unmasked] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_with_dict[masked] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_with_dict[subclass] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_with_none[unmasked] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_with_none[masked] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_with_none[subclass] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_missing_column[unmasked] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_missing_column[masked] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_missing_column[subclass] PASSED astropy/table/tests/test_table.py::TestAddRow::test_wrong_size_tuple[unmasked] PASSED astropy/table/tests/test_table.py::TestAddRow::test_wrong_size_tuple[masked] PASSED astropy/table/tests/test_table.py::TestAddRow::test_wrong_size_tuple[subclass] PASSED astropy/table/tests/test_table.py::TestAddRow::test_wrong_vals_type[unmasked] PASSED astropy/table/tests/test_table.py::TestAddRow::test_wrong_vals_type[masked] PASSED astropy/table/tests/test_table.py::TestAddRow::test_wrong_vals_type[subclass] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_row_failures[unmasked] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_row_failures[masked] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_row_failures[subclass] PASSED astropy/table/tests/test_table.py::TestAddRow::test_insert_table_row[unmasked] PASSED astropy/table/tests/test_table.py::TestAddRow::test_insert_table_row[masked] PASSED astropy/table/tests/test_table.py::TestAddRow::test_insert_table_row[subclass] PASSED astropy/table/tests/test_table.py::TestTableColumn::test_column_view[unmasked] PASSED astropy/table/tests/test_table.py::TestTableColumn::test_column_view[masked] PASSED astropy/table/tests/test_table.py::TestTableColumn::test_column_view[subclass] PASSED astropy/table/tests/test_table.py::TestArrayColumns::test_1d[unmasked] PASSED astropy/table/tests/test_table.py::TestArrayColumns::test_1d[masked] PASSED astropy/table/tests/test_table.py::TestArrayColumns::test_1d[subclass] PASSED astropy/table/tests/test_table.py::TestArrayColumns::test_2d[unmasked] PASSED astropy/table/tests/test_table.py::TestArrayColumns::test_2d[masked] PASSED astropy/table/tests/test_table.py::TestArrayColumns::test_2d[subclass] PASSED astropy/table/tests/test_table.py::TestArrayColumns::test_3d[unmasked] PASSED astropy/table/tests/test_table.py::TestArrayColumns::test_3d[masked] PASSED astropy/table/tests/test_table.py::TestArrayColumns::test_3d[subclass] PASSED astropy/table/tests/test_table.py::TestRemove::test_1[unmasked] PASSED astropy/table/tests/test_table.py::TestRemove::test_1[masked] PASSED astropy/table/tests/test_table.py::TestRemove::test_1[subclass] PASSED astropy/table/tests/test_table.py::TestRemove::test_2[unmasked] PASSED astropy/table/tests/test_table.py::TestRemove::test_2[masked] PASSED astropy/table/tests/test_table.py::TestRemove::test_2[subclass] PASSED astropy/table/tests/test_table.py::TestRemove::test_3[unmasked] PASSED astropy/table/tests/test_table.py::TestRemove::test_3[masked] PASSED astropy/table/tests/test_table.py::TestRemove::test_3[subclass] PASSED astropy/table/tests/test_table.py::TestRemove::test_remove_nonexistent_row[unmasked] PASSED astropy/table/tests/test_table.py::TestRemove::test_remove_nonexistent_row[masked] PASSED astropy/table/tests/test_table.py::TestRemove::test_remove_nonexistent_row[subclass] PASSED astropy/table/tests/test_table.py::TestRemove::test_remove_row_0[unmasked] PASSED astropy/table/tests/test_table.py::TestRemove::test_remove_row_0[masked] PASSED astropy/table/tests/test_table.py::TestRemove::test_remove_row_0[subclass] PASSED astropy/table/tests/test_table.py::TestRemove::test_remove_row_1[unmasked] PASSED astropy/table/tests/test_table.py::TestRemove::test_remove_row_1[masked] PASSED astropy/table/tests/test_table.py::TestRemove::test_remove_row_1[subclass] PASSED astropy/table/tests/test_table.py::TestRemove::test_remove_row_2[unmasked] PASSED astropy/table/tests/test_table.py::TestRemove::test_remove_row_2[masked] PASSED astropy/table/tests/test_table.py::TestRemove::test_remove_row_2[subclass] PASSED astropy/table/tests/test_table.py::TestRemove::test_remove_row_slice[unmasked] PASSED astropy/table/tests/test_table.py::TestRemove::test_remove_row_slice[masked] PASSED astropy/table/tests/test_table.py::TestRemove::test_remove_row_slice[subclass] PASSED astropy/table/tests/test_table.py::TestRemove::test_remove_row_list[unmasked] PASSED astropy/table/tests/test_table.py::TestRemove::test_remove_row_list[masked] PASSED astropy/table/tests/test_table.py::TestRemove::test_remove_row_list[subclass] PASSED astropy/table/tests/test_table.py::TestRemove::test_remove_row_preserves_meta[unmasked] PASSED astropy/table/tests/test_table.py::TestRemove::test_remove_row_preserves_meta[masked] PASSED astropy/table/tests/test_table.py::TestRemove::test_remove_row_preserves_meta[subclass] PASSED astropy/table/tests/test_table.py::TestRemove::test_delitem1[unmasked] PASSED astropy/table/tests/test_table.py::TestRemove::test_delitem1[masked] PASSED astropy/table/tests/test_table.py::TestRemove::test_delitem1[subclass] PASSED astropy/table/tests/test_table.py::TestRemove::test_delitem2[unmasked] PASSED astropy/table/tests/test_table.py::TestRemove::test_delitem2[masked] PASSED astropy/table/tests/test_table.py::TestRemove::test_delitem2[subclass] PASSED astropy/table/tests/test_table.py::TestRemove::test_delitems[unmasked] PASSED astropy/table/tests/test_table.py::TestRemove::test_delitems[masked] PASSED astropy/table/tests/test_table.py::TestRemove::test_delitems[subclass] PASSED astropy/table/tests/test_table.py::TestRemove::test_delitem_fail[unmasked] PASSED astropy/table/tests/test_table.py::TestRemove::test_delitem_fail[masked] PASSED astropy/table/tests/test_table.py::TestRemove::test_delitem_fail[subclass] PASSED astropy/table/tests/test_table.py::TestKeep::test_1[unmasked] PASSED astropy/table/tests/test_table.py::TestKeep::test_1[masked] PASSED astropy/table/tests/test_table.py::TestKeep::test_1[subclass] PASSED astropy/table/tests/test_table.py::TestKeep::test_2[unmasked] PASSED astropy/table/tests/test_table.py::TestKeep::test_2[masked] PASSED astropy/table/tests/test_table.py::TestKeep::test_2[subclass] PASSED astropy/table/tests/test_table.py::TestRename::test_1[unmasked] PASSED astropy/table/tests/test_table.py::TestRename::test_1[masked] PASSED astropy/table/tests/test_table.py::TestRename::test_1[subclass] PASSED astropy/table/tests/test_table.py::TestRename::test_2[unmasked] PASSED astropy/table/tests/test_table.py::TestRename::test_2[masked] PASSED astropy/table/tests/test_table.py::TestRename::test_2[subclass] PASSED astropy/table/tests/test_table.py::TestRename::test_rename_by_attr[unmasked] PASSED astropy/table/tests/test_table.py::TestRename::test_rename_by_attr[masked] PASSED astropy/table/tests/test_table.py::TestRename::test_rename_by_attr[subclass] PASSED astropy/table/tests/test_table.py::TestSort::test_single[unmasked] PASSED astropy/table/tests/test_table.py::TestSort::test_single[masked] PASSED astropy/table/tests/test_table.py::TestSort::test_single[subclass] PASSED astropy/table/tests/test_table.py::TestSort::test_single_big[unmasked] PASSED astropy/table/tests/test_table.py::TestSort::test_single_big[masked] PASSED astropy/table/tests/test_table.py::TestSort::test_single_big[subclass] PASSED astropy/table/tests/test_table.py::TestSort::test_empty[unmasked] PASSED astropy/table/tests/test_table.py::TestSort::test_empty[masked] PASSED astropy/table/tests/test_table.py::TestSort::test_empty[subclass] PASSED astropy/table/tests/test_table.py::TestSort::test_multiple[unmasked] PASSED astropy/table/tests/test_table.py::TestSort::test_multiple[masked] PASSED astropy/table/tests/test_table.py::TestSort::test_multiple[subclass] PASSED astropy/table/tests/test_table.py::TestSort::test_multiple_with_bytes[unmasked] PASSED astropy/table/tests/test_table.py::TestSort::test_multiple_with_bytes[masked] PASSED astropy/table/tests/test_table.py::TestSort::test_multiple_with_bytes[subclass] PASSED astropy/table/tests/test_table.py::TestSort::test_multiple_with_unicode[unmasked] PASSED astropy/table/tests/test_table.py::TestSort::test_multiple_with_unicode[masked] PASSED astropy/table/tests/test_table.py::TestSort::test_multiple_with_unicode[subclass] PASSED astropy/table/tests/test_table.py::TestSort::test_argsort[unmasked] PASSED astropy/table/tests/test_table.py::TestSort::test_argsort[masked] PASSED astropy/table/tests/test_table.py::TestSort::test_argsort[subclass] PASSED astropy/table/tests/test_table.py::TestSort::test_argsort_bytes[unmasked] PASSED astropy/table/tests/test_table.py::TestSort::test_argsort_bytes[masked] PASSED astropy/table/tests/test_table.py::TestSort::test_argsort_bytes[subclass] PASSED astropy/table/tests/test_table.py::TestSort::test_argsort_unicode[unmasked] PASSED astropy/table/tests/test_table.py::TestSort::test_argsort_unicode[masked] PASSED astropy/table/tests/test_table.py::TestSort::test_argsort_unicode[subclass] PASSED astropy/table/tests/test_table.py::TestSort::test_rebuild_column_view_then_rename[unmasked] PASSED astropy/table/tests/test_table.py::TestSort::test_rebuild_column_view_then_rename[masked] PASSED astropy/table/tests/test_table.py::TestSort::test_rebuild_column_view_then_rename[subclass] PASSED astropy/table/tests/test_table.py::TestIterator::test_iterator[unmasked] PASSED astropy/table/tests/test_table.py::TestIterator::test_iterator[masked] PASSED astropy/table/tests/test_table.py::TestIterator::test_iterator[subclass] PASSED astropy/table/tests/test_table.py::TestSetMeta::test_set_meta[unmasked] PASSED astropy/table/tests/test_table.py::TestSetMeta::test_set_meta[masked] PASSED astropy/table/tests/test_table.py::TestSetMeta::test_set_meta[subclass] PASSED astropy/table/tests/test_table.py::TestConvertNumpyArray::test_convert_numpy_array[unmasked] PASSED astropy/table/tests/test_table.py::TestConvertNumpyArray::test_convert_numpy_array[masked] PASSED astropy/table/tests/test_table.py::TestConvertNumpyArray::test_convert_numpy_array[subclass] PASSED astropy/table/tests/test_table.py::TestConvertNumpyArray::test_as_array_byteswap[unmasked] PASSED astropy/table/tests/test_table.py::TestConvertNumpyArray::test_as_array_byteswap[masked] PASSED astropy/table/tests/test_table.py::TestConvertNumpyArray::test_as_array_byteswap[subclass] PASSED astropy/table/tests/test_table.py::TestConvertNumpyArray::test_byteswap_fits_array[unmasked] PASSED astropy/table/tests/test_table.py::TestConvertNumpyArray::test_byteswap_fits_array[masked] PASSED astropy/table/tests/test_table.py::TestConvertNumpyArray::test_byteswap_fits_array[subclass] PASSED astropy/table/tests/test_table.py::test_copy PASSED astropy/table/tests/test_table.py::test_copy_masked PASSED astropy/table/tests/test_table.py::test_copy_protocol PASSED astropy/table/tests/test_table.py::test_disallow_inequality_comparisons PASSED astropy/table/tests/test_table.py::test_equality PASSED astropy/table/tests/test_table.py::test_equality_masked PASSED astropy/table/tests/test_table.py::test_equality_masked_bug xfail astropy/table/tests/test_table.py::TestMetaTable::test_none <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_table.py::TestMetaTable::test_mapping_init[meta0] <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_table.py::TestMetaTable::test_mapping_init[meta1] <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_table.py::TestMetaTable::test_mapping_init[meta2] <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_table.py::TestMetaTable::test_non_mapping_init[ceci n'est pas un meta] <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_table.py::TestMetaTable::test_non_mapping_init[1.2] <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_table.py::TestMetaTable::test_non_mapping_init[meta2] <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_table.py::TestMetaTable::test_mapping_set[meta0] <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_table.py::TestMetaTable::test_mapping_set[meta1] <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_table.py::TestMetaTable::test_mapping_set[meta2] <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_table.py::TestMetaTable::test_non_mapping_set[ceci n'est pas un meta] <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_table.py::TestMetaTable::test_non_mapping_set[1.2] <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_table.py::TestMetaTable::test_non_mapping_set[meta2] <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_table.py::TestMetaTable::test_meta_fits_header <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_table.py::test_unicode_column_names[unmasked] PASSED astropy/table/tests/test_table.py::test_unicode_column_names[masked] PASSED astropy/table/tests/test_table.py::test_unicode_column_names[subclass] PASSED astropy/table/tests/test_table.py::test_unicode_content PASSED astropy/table/tests/test_table.py::test_unicode_policy PASSED astropy/table/tests/test_table.py::test_unicode_bytestring_conversion[unmasked] PASSED astropy/table/tests/test_table.py::test_unicode_bytestring_conversion[masked] PASSED astropy/table/tests/test_table.py::test_unicode_bytestring_conversion[subclass] PASSED astropy/table/tests/test_table.py::test_table_deletion PASSED astropy/table/tests/test_table.py::test_nested_iteration PASSED astropy/table/tests/test_table.py::test_table_init_from_degenerate_arrays[unmasked] PASSED astropy/table/tests/test_table.py::test_table_init_from_degenerate_arrays[masked] PASSED astropy/table/tests/test_table.py::test_table_init_from_degenerate_arrays[subclass] PASSED astropy/table/tests/test_table.py::TestPandas::test_simple SKIPPED astropy/table/tests/test_table.py::TestPandas::test_2d SKIPPED astropy/table/tests/test_table.py::TestPandas::test_mixin SKIPPED astropy/table/tests/test_table.py::TestPandas::test_masking SKIPPED astropy/table/tests/test_table.py::TestReplaceColumn::test_fail_replace_column[unmasked] PASSED astropy/table/tests/test_table.py::TestReplaceColumn::test_fail_replace_column[masked] PASSED astropy/table/tests/test_table.py::TestReplaceColumn::test_fail_replace_column[subclass] PASSED astropy/table/tests/test_table.py::TestReplaceColumn::test_replace_column[unmasked] PASSED astropy/table/tests/test_table.py::TestReplaceColumn::test_replace_column[masked] PASSED astropy/table/tests/test_table.py::TestReplaceColumn::test_replace_column[subclass] PASSED astropy/table/tests/test_table.py::TestReplaceColumn::test_replace_index_column[unmasked] PASSED astropy/table/tests/test_table.py::TestReplaceColumn::test_replace_index_column[masked] PASSED astropy/table/tests/test_table.py::TestReplaceColumn::test_replace_index_column[subclass] PASSED astropy/table/tests/test_table.py::Test__Astropy_Table__::test_simple_1 PASSED astropy/table/tests/test_table.py::Test__Astropy_Table__::test_simple_2 PASSED astropy/table/tests/test_table.py::Test__Astropy_Table__::test_kwargs_exception PASSED astropy/table/tests/test_table.py::test_replace_column_qtable PASSED astropy/table/tests/test_table.py::test_replace_update_column_via_setitem PASSED astropy/table/tests/test_table.py::test_replace_update_column_via_setitem_warnings_normal PASSED astropy/table/tests/test_table.py::test_replace_update_column_via_setitem_warnings_slice PASSED astropy/table/tests/test_table.py::test_replace_update_column_via_setitem_warnings_attributes PASSED astropy/table/tests/test_table.py::test_replace_update_column_via_setitem_warnings_refcount PASSED astropy/table/tests/test_table.py::test_replace_update_column_via_setitem_warnings_always PASSED astropy/table/tests/test_table.py::test_replace_update_column_via_setitem_replace_inplace PASSED astropy/table/tests/test_table.py::test_primary_key_is_inherited PASSED astropy/table/tests/test_table.py::test_qtable_read_for_ipac_table_with_char_columns PASSED astropy/table/tests/test_table.py::TestSetTableColumn::test_set_row[unmasked] PASSED astropy/table/tests/test_table.py::TestSetTableColumn::test_set_row[masked] PASSED astropy/table/tests/test_table.py::TestSetTableColumn::test_set_row[subclass] PASSED astropy/table/tests/test_table.py::TestSetTableColumn::test_set_row_existing[unmasked] PASSED astropy/table/tests/test_table.py::TestSetTableColumn::test_set_row_existing[masked] PASSED astropy/table/tests/test_table.py::TestSetTableColumn::test_set_row_existing[subclass] PASSED astropy/table/tests/test_table.py::TestSetTableColumn::test_set_row_fail_1[unmasked] PASSED astropy/table/tests/test_table.py::TestSetTableColumn::test_set_row_fail_1[masked] PASSED astropy/table/tests/test_table.py::TestSetTableColumn::test_set_row_fail_1[subclass] PASSED astropy/table/tests/test_table.py::TestSetTableColumn::test_set_row_fail_2[unmasked] PASSED astropy/table/tests/test_table.py::TestSetTableColumn::test_set_row_fail_2[masked] PASSED astropy/table/tests/test_table.py::TestSetTableColumn::test_set_row_fail_2[subclass] PASSED astropy/table/tests/test_table.py::TestSetTableColumn::test_set_new_col_new_table[unmasked] PASSED astropy/table/tests/test_table.py::TestSetTableColumn::test_set_new_col_new_table[masked] PASSED astropy/table/tests/test_table.py::TestSetTableColumn::test_set_new_col_new_table[subclass] PASSED astropy/table/tests/test_table.py::TestSetTableColumn::test_set_new_col_new_table_quantity[unmasked] PASSED astropy/table/tests/test_table.py::TestSetTableColumn::test_set_new_col_new_table_quantity[masked] PASSED astropy/table/tests/test_table.py::TestSetTableColumn::test_set_new_col_new_table_quantity[subclass] PASSED astropy/table/tests/test_table.py::TestSetTableColumn::test_set_new_col_existing_table[unmasked] PASSED astropy/table/tests/test_table.py::TestSetTableColumn::test_set_new_col_existing_table[masked] PASSED astropy/table/tests/test_table.py::TestSetTableColumn::test_set_new_col_existing_table[subclass] PASSED astropy/table/tests/test_table.py::TestSetTableColumn::test_set_new_unmasked_col_existing_table[unmasked] PASSED astropy/table/tests/test_table.py::TestSetTableColumn::test_set_new_unmasked_col_existing_table[masked] PASSED astropy/table/tests/test_table.py::TestSetTableColumn::test_set_new_unmasked_col_existing_table[subclass] PASSED astropy/table/tests/test_table.py::TestSetTableColumn::test_set_new_masked_col_existing_table[unmasked] PASSED astropy/table/tests/test_table.py::TestSetTableColumn::test_set_new_masked_col_existing_table[masked] PASSED astropy/table/tests/test_table.py::TestSetTableColumn::test_set_new_masked_col_existing_table[subclass] PASSED astropy/table/tests/test_table.py::TestSetTableColumn::test_set_new_col_existing_table_fail[unmasked] PASSED astropy/table/tests/test_table.py::TestSetTableColumn::test_set_new_col_existing_table_fail[masked] PASSED astropy/table/tests/test_table.py::TestSetTableColumn::test_set_new_col_existing_table_fail[subclass] PASSED astropy/table/tests/test_table.py::TestEmptyData::test_1[unmasked] PASSED astropy/table/tests/test_table.py::TestEmptyData::test_1[masked] PASSED astropy/table/tests/test_table.py::TestEmptyData::test_1[subclass] PASSED astropy/table/tests/test_table.py::TestEmptyData::test_2[unmasked] PASSED astropy/table/tests/test_table.py::TestEmptyData::test_2[masked] PASSED astropy/table/tests/test_table.py::TestEmptyData::test_2[subclass] PASSED astropy/table/tests/test_table.py::TestEmptyData::test_3[unmasked] PASSED astropy/table/tests/test_table.py::TestEmptyData::test_3[masked] PASSED astropy/table/tests/test_table.py::TestEmptyData::test_3[subclass] PASSED astropy/table/tests/test_table.py::TestEmptyData::test_4[unmasked] PASSED astropy/table/tests/test_table.py::TestEmptyData::test_4[masked] PASSED astropy/table/tests/test_table.py::TestEmptyData::test_4[subclass] PASSED astropy/table/tests/test_table.py::TestEmptyData::test_5[unmasked] PASSED astropy/table/tests/test_table.py::TestEmptyData::test_5[masked] PASSED astropy/table/tests/test_table.py::TestEmptyData::test_5[subclass] PASSED astropy/table/tests/test_table.py::TestEmptyData::test_add_via_setitem_and_slice[unmasked] PASSED astropy/table/tests/test_table.py::TestEmptyData::test_add_via_setitem_and_slice[masked] PASSED astropy/table/tests/test_table.py::TestEmptyData::test_add_via_setitem_and_slice[subclass] PASSED astropy/table/tests/test_table.py::TestNewFromColumns::test_simple[unmasked] PASSED astropy/table/tests/test_table.py::TestNewFromColumns::test_simple[masked] PASSED astropy/table/tests/test_table.py::TestNewFromColumns::test_simple[subclass] PASSED astropy/table/tests/test_table.py::TestNewFromColumns::test_from_np_array[unmasked] PASSED astropy/table/tests/test_table.py::TestNewFromColumns::test_from_np_array[masked] PASSED astropy/table/tests/test_table.py::TestNewFromColumns::test_from_np_array[subclass] PASSED astropy/table/tests/test_table.py::TestNewFromColumns::test_size_mismatch[unmasked] PASSED astropy/table/tests/test_table.py::TestNewFromColumns::test_size_mismatch[masked] PASSED astropy/table/tests/test_table.py::TestNewFromColumns::test_size_mismatch[subclass] PASSED astropy/table/tests/test_table.py::TestNewFromColumns::test_name_none[unmasked] PASSED astropy/table/tests/test_table.py::TestNewFromColumns::test_name_none[masked] PASSED astropy/table/tests/test_table.py::TestNewFromColumns::test_name_none[subclass] PASSED astropy/table/tests/test_table.py::TestReverse::test_reverse[unmasked] PASSED astropy/table/tests/test_table.py::TestReverse::test_reverse[masked] PASSED astropy/table/tests/test_table.py::TestReverse::test_reverse[subclass] PASSED astropy/table/tests/test_table.py::TestReverse::test_reverse_big[unmasked] PASSED astropy/table/tests/test_table.py::TestReverse::test_reverse_big[masked] PASSED astropy/table/tests/test_table.py::TestReverse::test_reverse_big[subclass] PASSED astropy/table/tests/test_table.py::TestColumnAccess::test_1[unmasked] PASSED astropy/table/tests/test_table.py::TestColumnAccess::test_1[masked] PASSED astropy/table/tests/test_table.py::TestColumnAccess::test_1[subclass] PASSED astropy/table/tests/test_table.py::TestColumnAccess::test_2[unmasked] PASSED astropy/table/tests/test_table.py::TestColumnAccess::test_2[masked] PASSED astropy/table/tests/test_table.py::TestColumnAccess::test_2[subclass] PASSED astropy/table/tests/test_table.py::TestColumnAccess::test_itercols[unmasked] PASSED astropy/table/tests/test_table.py::TestColumnAccess::test_itercols[masked] PASSED astropy/table/tests/test_table.py::TestColumnAccess::test_itercols[subclass] PASSED astropy/table/tests/test_table.py::TestAddLength::test_right_length[unmasked] PASSED astropy/table/tests/test_table.py::TestAddLength::test_right_length[masked] PASSED astropy/table/tests/test_table.py::TestAddLength::test_right_length[subclass] PASSED astropy/table/tests/test_table.py::TestAddLength::test_too_long[unmasked] PASSED astropy/table/tests/test_table.py::TestAddLength::test_too_long[masked] PASSED astropy/table/tests/test_table.py::TestAddLength::test_too_long[subclass] PASSED astropy/table/tests/test_table.py::TestAddLength::test_too_short[unmasked] PASSED astropy/table/tests/test_table.py::TestAddLength::test_too_short[masked] PASSED astropy/table/tests/test_table.py::TestAddLength::test_too_short[subclass] PASSED astropy/table/tests/test_table.py::TestAddPosition::test_1[unmasked] PASSED astropy/table/tests/test_table.py::TestAddPosition::test_1[masked] PASSED astropy/table/tests/test_table.py::TestAddPosition::test_1[subclass] PASSED astropy/table/tests/test_table.py::TestAddPosition::test_2[unmasked] PASSED astropy/table/tests/test_table.py::TestAddPosition::test_2[masked] PASSED astropy/table/tests/test_table.py::TestAddPosition::test_2[subclass] PASSED astropy/table/tests/test_table.py::TestAddPosition::test_3[unmasked] PASSED astropy/table/tests/test_table.py::TestAddPosition::test_3[masked] PASSED astropy/table/tests/test_table.py::TestAddPosition::test_3[subclass] PASSED astropy/table/tests/test_table.py::TestAddPosition::test_5[unmasked] PASSED astropy/table/tests/test_table.py::TestAddPosition::test_5[masked] PASSED astropy/table/tests/test_table.py::TestAddPosition::test_5[subclass] PASSED astropy/table/tests/test_table.py::TestAddPosition::test_6[unmasked] PASSED astropy/table/tests/test_table.py::TestAddPosition::test_6[masked] PASSED astropy/table/tests/test_table.py::TestAddPosition::test_6[subclass] PASSED astropy/table/tests/test_table.py::TestAddPosition::test_7[unmasked] PASSED astropy/table/tests/test_table.py::TestAddPosition::test_7[masked] PASSED astropy/table/tests/test_table.py::TestAddPosition::test_7[subclass] PASSED astropy/table/tests/test_table.py::TestAddPosition::test_8[unmasked] PASSED astropy/table/tests/test_table.py::TestAddPosition::test_8[masked] PASSED astropy/table/tests/test_table.py::TestAddPosition::test_8[subclass] PASSED astropy/table/tests/test_table.py::TestAddPosition::test_9[unmasked] PASSED astropy/table/tests/test_table.py::TestAddPosition::test_9[masked] PASSED astropy/table/tests/test_table.py::TestAddPosition::test_9[subclass] PASSED astropy/table/tests/test_table.py::TestAddPosition::test_10[unmasked] PASSED astropy/table/tests/test_table.py::TestAddPosition::test_10[masked] PASSED astropy/table/tests/test_table.py::TestAddPosition::test_10[subclass] PASSED astropy/table/tests/test_table.py::TestAddName::test_override_name[unmasked] PASSED astropy/table/tests/test_table.py::TestAddName::test_override_name[masked] PASSED astropy/table/tests/test_table.py::TestAddName::test_override_name[subclass] PASSED astropy/table/tests/test_table.py::TestAddName::test_default_name[unmasked] PASSED astropy/table/tests/test_table.py::TestAddName::test_default_name[masked] PASSED astropy/table/tests/test_table.py::TestAddName::test_default_name[subclass] PASSED astropy/table/tests/test_table.py::TestInitFromTable::test_from_table_cols[unmasked] PASSED astropy/table/tests/test_table.py::TestInitFromTable::test_from_table_cols[masked] PASSED astropy/table/tests/test_table.py::TestInitFromTable::test_from_table_cols[subclass] PASSED astropy/table/tests/test_table.py::TestAddColumns::test_add_columns1[unmasked] PASSED astropy/table/tests/test_table.py::TestAddColumns::test_add_columns1[masked] PASSED astropy/table/tests/test_table.py::TestAddColumns::test_add_columns1[subclass] PASSED astropy/table/tests/test_table.py::TestAddColumns::test_add_columns2[unmasked] PASSED astropy/table/tests/test_table.py::TestAddColumns::test_add_columns2[masked] PASSED astropy/table/tests/test_table.py::TestAddColumns::test_add_columns2[subclass] PASSED astropy/table/tests/test_table.py::TestAddColumns::test_add_columns3[unmasked] PASSED astropy/table/tests/test_table.py::TestAddColumns::test_add_columns3[masked] PASSED astropy/table/tests/test_table.py::TestAddColumns::test_add_columns3[subclass] PASSED astropy/table/tests/test_table.py::TestAddColumns::test_add_columns4[unmasked] PASSED astropy/table/tests/test_table.py::TestAddColumns::test_add_columns4[masked] PASSED astropy/table/tests/test_table.py::TestAddColumns::test_add_columns4[subclass] PASSED astropy/table/tests/test_table.py::TestAddColumns::test_add_columns5[unmasked] PASSED astropy/table/tests/test_table.py::TestAddColumns::test_add_columns5[masked] PASSED astropy/table/tests/test_table.py::TestAddColumns::test_add_columns5[subclass] PASSED astropy/table/tests/test_table.py::TestAddColumns::test_add_columns6[unmasked] PASSED astropy/table/tests/test_table.py::TestAddColumns::test_add_columns6[masked] PASSED astropy/table/tests/test_table.py::TestAddColumns::test_add_columns6[subclass] PASSED astropy/table/tests/test_table.py::TestAddColumns::test_add_columns7[unmasked] PASSED astropy/table/tests/test_table.py::TestAddColumns::test_add_columns7[masked] PASSED astropy/table/tests/test_table.py::TestAddColumns::test_add_columns7[subclass] PASSED astropy/table/tests/test_table.py::TestAddColumns::test_add_duplicate_column[unmasked] PASSED astropy/table/tests/test_table.py::TestAddColumns::test_add_duplicate_column[masked] PASSED astropy/table/tests/test_table.py::TestAddColumns::test_add_duplicate_column[subclass] PASSED astropy/table/tests/test_table.py::TestAddColumns::test_add_duplicate_columns[unmasked] PASSED astropy/table/tests/test_table.py::TestAddColumns::test_add_duplicate_columns[masked] PASSED astropy/table/tests/test_table.py::TestAddColumns::test_add_duplicate_columns[subclass] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_none_to_empty_table[unmasked] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_none_to_empty_table[masked] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_none_to_empty_table[subclass] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_stuff_to_empty_table[unmasked] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_stuff_to_empty_table[masked] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_stuff_to_empty_table[subclass] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_table_row[unmasked] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_table_row[masked] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_table_row[subclass] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_table_row_obj[unmasked] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_table_row_obj[masked] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_table_row_obj[subclass] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_qtable_row_multidimensional[unmasked] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_qtable_row_multidimensional[masked] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_qtable_row_multidimensional[subclass] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_with_tuple[unmasked] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_with_tuple[masked] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_with_tuple[subclass] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_with_list[unmasked] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_with_list[masked] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_with_list[subclass] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_with_dict[unmasked] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_with_dict[masked] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_with_dict[subclass] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_with_none[unmasked] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_with_none[masked] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_with_none[subclass] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_missing_column[unmasked] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_missing_column[masked] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_missing_column[subclass] PASSED astropy/table/tests/test_table.py::TestAddRow::test_wrong_size_tuple[unmasked] PASSED astropy/table/tests/test_table.py::TestAddRow::test_wrong_size_tuple[masked] PASSED astropy/table/tests/test_table.py::TestAddRow::test_wrong_size_tuple[subclass] PASSED astropy/table/tests/test_table.py::TestAddRow::test_wrong_vals_type[unmasked] PASSED astropy/table/tests/test_table.py::TestAddRow::test_wrong_vals_type[masked] PASSED astropy/table/tests/test_table.py::TestAddRow::test_wrong_vals_type[subclass] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_row_failures[unmasked] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_row_failures[masked] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_row_failures[subclass] PASSED astropy/table/tests/test_table.py::TestAddRow::test_insert_table_row[unmasked] PASSED astropy/table/tests/test_table.py::TestAddRow::test_insert_table_row[masked] PASSED astropy/table/tests/test_table.py::TestAddRow::test_insert_table_row[subclass] PASSED astropy/table/tests/test_table.py::TestTableColumn::test_column_view[unmasked] PASSED astropy/table/tests/test_table.py::TestTableColumn::test_column_view[masked] PASSED astropy/table/tests/test_table.py::TestTableColumn::test_column_view[subclass] PASSED astropy/table/tests/test_table.py::TestArrayColumns::test_1d[unmasked] PASSED astropy/table/tests/test_table.py::TestArrayColumns::test_1d[masked] PASSED astropy/table/tests/test_table.py::TestArrayColumns::test_1d[subclass] PASSED astropy/table/tests/test_table.py::TestArrayColumns::test_2d[unmasked] PASSED astropy/table/tests/test_table.py::TestArrayColumns::test_2d[masked] PASSED astropy/table/tests/test_table.py::TestArrayColumns::test_2d[subclass] PASSED astropy/table/tests/test_table.py::TestArrayColumns::test_3d[unmasked] PASSED astropy/table/tests/test_table.py::TestArrayColumns::test_3d[masked] PASSED astropy/table/tests/test_table.py::TestArrayColumns::test_3d[subclass] PASSED astropy/table/tests/test_table.py::TestRemove::test_1[unmasked] PASSED astropy/table/tests/test_table.py::TestRemove::test_1[masked] PASSED astropy/table/tests/test_table.py::TestRemove::test_1[subclass] PASSED astropy/table/tests/test_table.py::TestRemove::test_2[unmasked] PASSED astropy/table/tests/test_table.py::TestRemove::test_2[masked] PASSED astropy/table/tests/test_table.py::TestRemove::test_2[subclass] PASSED astropy/table/tests/test_table.py::TestRemove::test_3[unmasked] PASSED astropy/table/tests/test_table.py::TestRemove::test_3[masked] PASSED astropy/table/tests/test_table.py::TestRemove::test_3[subclass] PASSED astropy/table/tests/test_table.py::TestRemove::test_remove_nonexistent_row[unmasked] PASSED astropy/table/tests/test_table.py::TestRemove::test_remove_nonexistent_row[masked] PASSED astropy/table/tests/test_table.py::TestRemove::test_remove_nonexistent_row[subclass] PASSED astropy/table/tests/test_table.py::TestRemove::test_remove_row_0[unmasked] PASSED astropy/table/tests/test_table.py::TestRemove::test_remove_row_0[masked] PASSED astropy/table/tests/test_table.py::TestRemove::test_remove_row_0[subclass] PASSED astropy/table/tests/test_table.py::TestRemove::test_remove_row_1[unmasked] PASSED astropy/table/tests/test_table.py::TestRemove::test_remove_row_1[masked] PASSED astropy/table/tests/test_table.py::TestRemove::test_remove_row_1[subclass] PASSED astropy/table/tests/test_table.py::TestRemove::test_remove_row_2[unmasked] PASSED astropy/table/tests/test_table.py::TestRemove::test_remove_row_2[masked] PASSED astropy/table/tests/test_table.py::TestRemove::test_remove_row_2[subclass] PASSED astropy/table/tests/test_table.py::TestRemove::test_remove_row_slice[unmasked] PASSED astropy/table/tests/test_table.py::TestRemove::test_remove_row_slice[masked] PASSED astropy/table/tests/test_table.py::TestRemove::test_remove_row_slice[subclass] PASSED astropy/table/tests/test_table.py::TestRemove::test_remove_row_list[unmasked] PASSED astropy/table/tests/test_table.py::TestRemove::test_remove_row_list[masked] PASSED astropy/table/tests/test_table.py::TestRemove::test_remove_row_list[subclass] PASSED astropy/table/tests/test_table.py::TestRemove::test_remove_row_preserves_meta[unmasked] PASSED astropy/table/tests/test_table.py::TestRemove::test_remove_row_preserves_meta[masked] PASSED astropy/table/tests/test_table.py::TestRemove::test_remove_row_preserves_meta[subclass] PASSED astropy/table/tests/test_table.py::TestRemove::test_delitem1[unmasked] PASSED astropy/table/tests/test_table.py::TestRemove::test_delitem1[masked] PASSED astropy/table/tests/test_table.py::TestRemove::test_delitem1[subclass] PASSED astropy/table/tests/test_table.py::TestRemove::test_delitem2[unmasked] PASSED astropy/table/tests/test_table.py::TestRemove::test_delitem2[masked] PASSED astropy/table/tests/test_table.py::TestRemove::test_delitem2[subclass] PASSED astropy/table/tests/test_table.py::TestRemove::test_delitems[unmasked] PASSED astropy/table/tests/test_table.py::TestRemove::test_delitems[masked] PASSED astropy/table/tests/test_table.py::TestRemove::test_delitems[subclass] PASSED astropy/table/tests/test_table.py::TestRemove::test_delitem_fail[unmasked] PASSED astropy/table/tests/test_table.py::TestRemove::test_delitem_fail[masked] PASSED astropy/table/tests/test_table.py::TestRemove::test_delitem_fail[subclass] PASSED astropy/table/tests/test_table.py::TestKeep::test_1[unmasked] PASSED astropy/table/tests/test_table.py::TestKeep::test_1[masked] PASSED astropy/table/tests/test_table.py::TestKeep::test_1[subclass] PASSED astropy/table/tests/test_table.py::TestKeep::test_2[unmasked] PASSED astropy/table/tests/test_table.py::TestKeep::test_2[masked] PASSED astropy/table/tests/test_table.py::TestKeep::test_2[subclass] PASSED astropy/table/tests/test_table.py::TestRename::test_1[unmasked] PASSED astropy/table/tests/test_table.py::TestRename::test_1[masked] PASSED astropy/table/tests/test_table.py::TestRename::test_1[subclass] PASSED astropy/table/tests/test_table.py::TestRename::test_2[unmasked] PASSED astropy/table/tests/test_table.py::TestRename::test_2[masked] PASSED astropy/table/tests/test_table.py::TestRename::test_2[subclass] PASSED astropy/table/tests/test_table.py::TestRename::test_rename_by_attr[unmasked] PASSED astropy/table/tests/test_table.py::TestRename::test_rename_by_attr[masked] PASSED astropy/table/tests/test_table.py::TestRename::test_rename_by_attr[subclass] PASSED astropy/table/tests/test_table.py::TestSort::test_single[unmasked] PASSED astropy/table/tests/test_table.py::TestSort::test_single[masked] PASSED astropy/table/tests/test_table.py::TestSort::test_single[subclass] PASSED astropy/table/tests/test_table.py::TestSort::test_single_big[unmasked] PASSED astropy/table/tests/test_table.py::TestSort::test_single_big[masked] PASSED astropy/table/tests/test_table.py::TestSort::test_single_big[subclass] PASSED astropy/table/tests/test_table.py::TestSort::test_empty[unmasked] PASSED astropy/table/tests/test_table.py::TestSort::test_empty[masked] PASSED astropy/table/tests/test_table.py::TestSort::test_empty[subclass] PASSED astropy/table/tests/test_table.py::TestSort::test_multiple[unmasked] PASSED astropy/table/tests/test_table.py::TestSort::test_multiple[masked] PASSED astropy/table/tests/test_table.py::TestSort::test_multiple[subclass] PASSED astropy/table/tests/test_table.py::TestSort::test_multiple_with_bytes[unmasked] PASSED astropy/table/tests/test_table.py::TestSort::test_multiple_with_bytes[masked] PASSED astropy/table/tests/test_table.py::TestSort::test_multiple_with_bytes[subclass] PASSED astropy/table/tests/test_table.py::TestSort::test_multiple_with_unicode[unmasked] PASSED astropy/table/tests/test_table.py::TestSort::test_multiple_with_unicode[masked] PASSED astropy/table/tests/test_table.py::TestSort::test_multiple_with_unicode[subclass] PASSED astropy/table/tests/test_table.py::TestSort::test_argsort[unmasked] PASSED astropy/table/tests/test_table.py::TestSort::test_argsort[masked] PASSED astropy/table/tests/test_table.py::TestSort::test_argsort[subclass] PASSED astropy/table/tests/test_table.py::TestSort::test_argsort_bytes[unmasked] PASSED astropy/table/tests/test_table.py::TestSort::test_argsort_bytes[masked] PASSED astropy/table/tests/test_table.py::TestSort::test_argsort_bytes[subclass] PASSED astropy/table/tests/test_table.py::TestSort::test_argsort_unicode[unmasked] PASSED astropy/table/tests/test_table.py::TestSort::test_argsort_unicode[masked] PASSED astropy/table/tests/test_table.py::TestSort::test_argsort_unicode[subclass] PASSED astropy/table/tests/test_table.py::TestSort::test_rebuild_column_view_then_rename[unmasked] PASSED astropy/table/tests/test_table.py::TestSort::test_rebuild_column_view_then_rename[masked] PASSED astropy/table/tests/test_table.py::TestSort::test_rebuild_column_view_then_rename[subclass] PASSED astropy/table/tests/test_table.py::TestIterator::test_iterator[unmasked] PASSED astropy/table/tests/test_table.py::TestIterator::test_iterator[masked] PASSED astropy/table/tests/test_table.py::TestIterator::test_iterator[subclass] PASSED astropy/table/tests/test_table.py::TestSetMeta::test_set_meta[unmasked] PASSED astropy/table/tests/test_table.py::TestSetMeta::test_set_meta[masked] PASSED astropy/table/tests/test_table.py::TestSetMeta::test_set_meta[subclass] PASSED astropy/table/tests/test_table.py::TestConvertNumpyArray::test_convert_numpy_array[unmasked] PASSED astropy/table/tests/test_table.py::TestConvertNumpyArray::test_convert_numpy_array[masked] PASSED astropy/table/tests/test_table.py::TestConvertNumpyArray::test_convert_numpy_array[subclass] PASSED astropy/table/tests/test_table.py::TestConvertNumpyArray::test_as_array_byteswap[unmasked] PASSED astropy/table/tests/test_table.py::TestConvertNumpyArray::test_as_array_byteswap[masked] PASSED astropy/table/tests/test_table.py::TestConvertNumpyArray::test_as_array_byteswap[subclass] PASSED astropy/table/tests/test_table.py::TestConvertNumpyArray::test_byteswap_fits_array[unmasked] PASSED astropy/table/tests/test_table.py::TestConvertNumpyArray::test_byteswap_fits_array[masked] PASSED astropy/table/tests/test_table.py::TestConvertNumpyArray::test_byteswap_fits_array[subclass] PASSED astropy/table/tests/test_table.py::test_copy PASSED astropy/table/tests/test_table.py::test_copy_masked PASSED astropy/table/tests/test_table.py::test_copy_protocol PASSED astropy/table/tests/test_table.py::test_disallow_inequality_comparisons PASSED astropy/table/tests/test_table.py::test_equality PASSED astropy/table/tests/test_table.py::test_equality_masked PASSED astropy/table/tests/test_table.py::test_equality_masked_bug xfail astropy/table/tests/test_table.py::TestMetaTable::test_none <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_table.py::TestMetaTable::test_mapping_init[meta0] <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_table.py::TestMetaTable::test_mapping_init[meta1] <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_table.py::TestMetaTable::test_mapping_init[meta2] <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_table.py::TestMetaTable::test_non_mapping_init[ceci n'est pas un meta] <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_table.py::TestMetaTable::test_non_mapping_init[1.2] <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_table.py::TestMetaTable::test_non_mapping_init[meta2] <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_table.py::TestMetaTable::test_mapping_set[meta0] <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_table.py::TestMetaTable::test_mapping_set[meta1] <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_table.py::TestMetaTable::test_mapping_set[meta2] <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_table.py::TestMetaTable::test_non_mapping_set[ceci n'est pas un meta] <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_table.py::TestMetaTable::test_non_mapping_set[1.2] <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_table.py::TestMetaTable::test_non_mapping_set[meta2] <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_table.py::TestMetaTable::test_meta_fits_header <- lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_table.py::test_unicode_column_names[unmasked] PASSED astropy/table/tests/test_table.py::test_unicode_column_names[masked] PASSED astropy/table/tests/test_table.py::test_unicode_column_names[subclass] PASSED astropy/table/tests/test_table.py::test_unicode_content PASSED astropy/table/tests/test_table.py::test_unicode_policy PASSED astropy/table/tests/test_table.py::test_unicode_bytestring_conversion[unmasked] PASSED astropy/table/tests/test_table.py::test_unicode_bytestring_conversion[masked] PASSED astropy/table/tests/test_table.py::test_unicode_bytestring_conversion[subclass] PASSED astropy/table/tests/test_table.py::test_table_deletion PASSED astropy/table/tests/test_table.py::test_nested_iteration PASSED astropy/table/tests/test_table.py::test_table_init_from_degenerate_arrays[unmasked] PASSED astropy/table/tests/test_table.py::test_table_init_from_degenerate_arrays[masked] PASSED astropy/table/tests/test_table.py::test_table_init_from_degenerate_arrays[subclass] PASSED astropy/table/tests/test_table.py::TestPandas::test_simple SKIPPED astropy/table/tests/test_table.py::TestPandas::test_2d SKIPPED astropy/table/tests/test_table.py::TestPandas::test_mixin SKIPPED astropy/table/tests/test_table.py::TestPandas::test_masking SKIPPED astropy/table/tests/test_table.py::TestReplaceColumn::test_fail_replace_column[unmasked] PASSED astropy/table/tests/test_table.py::TestReplaceColumn::test_fail_replace_column[masked] PASSED astropy/table/tests/test_table.py::TestReplaceColumn::test_fail_replace_column[subclass] PASSED astropy/table/tests/test_table.py::TestReplaceColumn::test_replace_column[unmasked] PASSED astropy/table/tests/test_table.py::TestReplaceColumn::test_replace_column[masked] PASSED astropy/table/tests/test_table.py::TestReplaceColumn::test_replace_column[subclass] PASSED astropy/table/tests/test_table.py::TestReplaceColumn::test_replace_index_column[unmasked] PASSED astropy/table/tests/test_table.py::TestReplaceColumn::test_replace_index_column[masked] PASSED astropy/table/tests/test_table.py::TestReplaceColumn::test_replace_index_column[subclass] PASSED astropy/table/tests/test_table.py::Test__Astropy_Table__::test_simple_1 PASSED astropy/table/tests/test_table.py::Test__Astropy_Table__::test_simple_2 PASSED astropy/table/tests/test_table.py::Test__Astropy_Table__::test_kwargs_exception PASSED astropy/table/tests/test_table.py::test_replace_column_qtable PASSED astropy/table/tests/test_table.py::test_replace_update_column_via_setitem PASSED astropy/table/tests/test_table.py::test_replace_update_column_via_setitem_warnings_normal PASSED astropy/table/tests/test_table.py::test_replace_update_column_via_setitem_warnings_slice PASSED astropy/table/tests/test_table.py::test_replace_update_column_via_setitem_warnings_attributes PASSED astropy/table/tests/test_table.py::test_replace_update_column_via_setitem_warnings_refcount PASSED astropy/table/tests/test_table.py::test_replace_update_column_via_setitem_warnings_always PASSED astropy/table/tests/test_table.py::test_replace_update_column_via_setitem_replace_inplace PASSED astropy/table/tests/test_table.py::test_primary_key_is_inherited PASSED astropy/table/tests/test_table.py::test_qtable_read_for_ipac_table_with_char_columns PASSED astropy/tests/test_logger.py::test_warnings_logging_disable_no_enable PASSED astropy/tests/test_logger.py::test_warnings_logging_enable_twice PASSED astropy/tests/test_logger.py::test_warnings_logging_overridden PASSED astropy/tests/test_logger.py::test_warnings_logging PASSED astropy/tests/test_logger.py::test_warnings_logging_with_custom_class PASSED astropy/tests/test_logger.py::test_warning_logging_with_io_votable_warning PASSED astropy/tests/test_logger.py::test_import_error_in_warning_logging PASSED astropy/tests/test_logger.py::test_exception_logging_disable_no_enable PASSED astropy/tests/test_logger.py::test_exception_logging_enable_twice PASSED astropy/tests/test_logger.py::test_exception_logging_overridden PASSED astropy/tests/test_logger.py::test_exception_logging PASSED astropy/tests/test_logger.py::test_exception_logging_origin PASSED astropy/tests/test_logger.py::test_exception_logging_argless_exception PASSED astropy/tests/test_logger.py::test_log_to_list[None] PASSED astropy/tests/test_logger.py::test_log_to_list[DEBUG] PASSED astropy/tests/test_logger.py::test_log_to_list[INFO] PASSED astropy/tests/test_logger.py::test_log_to_list[WARN] PASSED astropy/tests/test_logger.py::test_log_to_list[ERROR] PASSED astropy/tests/test_logger.py::test_log_to_list_level PASSED astropy/tests/test_logger.py::test_log_to_list_origin1 PASSED astropy/tests/test_logger.py::test_log_to_list_origin2 PASSED astropy/tests/test_logger.py::test_log_to_file[None] PASSED astropy/tests/test_logger.py::test_log_to_file[DEBUG] PASSED astropy/tests/test_logger.py::test_log_to_file[INFO] PASSED astropy/tests/test_logger.py::test_log_to_file[WARN] PASSED astropy/tests/test_logger.py::test_log_to_file[ERROR] PASSED astropy/tests/test_logger.py::test_log_to_file_level PASSED astropy/tests/test_logger.py::test_log_to_file_origin1 PASSED astropy/tests/test_logger.py::test_log_to_file_origin2 PASSED astropy/tests/tests/test_imports.py::test_imports PASSED astropy/tests/tests/test_imports.py::test_toplevel_namespace PASSED astropy/tests/tests/test_open_file_detection.py::test_open_file_detection PASSED astropy/tests/tests/test_quantity_helpers.py::test_assert_quantity_allclose PASSED astropy/tests/tests/test_run_tests.py::test_module_not_found PASSED astropy/tests/tests/test_run_tests.py::test_pastebin_keyword PASSED astropy/tests/tests/test_run_tests.py::test_unicode_literal_conversion PASSED astropy/tests/tests/test_run_tests.py::test_doctest_float_replacement PASSED astropy/tests/tests/test_run_tests.py::test_module_not_found PASSED astropy/tests/tests/test_run_tests.py::test_pastebin_keyword PASSED astropy/tests/tests/test_run_tests.py::test_unicode_literal_conversion PASSED astropy/tests/tests/test_run_tests.py::test_doctest_float_replacement PASSED astropy/tests/tests/test_runner.py::test_disable_kwarg PASSED astropy/tests/tests/test_runner.py::test_wrong_kwarg PASSED astropy/tests/tests/test_runner.py::test_invalid_kwarg PASSED astropy/tests/tests/test_runner.py::test_new_kwarg PASSED astropy/tests/tests/test_runner.py::test_priority PASSED astropy/tests/tests/test_runner.py::test_docs PASSED astropy/tests/tests/test_skip_remote_data.py::test_skip_remote_data SKIPPED astropy/tests/tests/test_skip_remote_data.py::test_skip_remote_data_astropy SKIPPED astropy/tests/tests/test_socketblocker.py::test_outgoing_fails PASSED astropy/tests/tests/test_socketblocker.py::test_localconnect_succeeds[localhost] PASSED astropy/tests/tests/test_socketblocker.py::test_localconnect_succeeds[127.0.0.1] PASSED astropy/tests/tests/test_socketblocker.py::test_multiprocessing_forkserver SKIPPED astropy/time/core.py::astropy.time.core.Time PASSED astropy/time/core.py::astropy.time.core.Time.format PASSED astropy/time/core.py::astropy.time.core.Time.get_delta_ut1_utc PASSED astropy/time/core.py::astropy.time.core.TimeDelta PASSED astropy/time/formats.py::astropy.time.formats.TimeDatetime PASSED astropy/time/formats.py::astropy.time.formats.TimezoneInfo.__init__ PASSED astropy/time/tests/test_basic.py::TestBasic::test_simple PASSED astropy/time/tests/test_basic.py::TestBasic::test_different_dimensions PASSED astropy/time/tests/test_basic.py::TestBasic::test_copy_time[2455197.5] PASSED astropy/time/tests/test_basic.py::TestBasic::test_copy_time[value1] PASSED astropy/time/tests/test_basic.py::TestBasic::test_getitem PASSED astropy/time/tests/test_basic.py::TestBasic::test_properties PASSED astropy/time/tests/test_basic.py::TestBasic::test_precision PASSED astropy/time/tests/test_basic.py::TestBasic::test_transforms PASSED astropy/time/tests/test_basic.py::TestBasic::test_location PASSED astropy/time/tests/test_basic.py::TestBasic::test_location_array PASSED astropy/time/tests/test_basic.py::TestBasic::test_all_transforms PASSED astropy/time/tests/test_basic.py::TestBasic::test_creating_all_formats PASSED astropy/time/tests/test_basic.py::TestBasic::test_datetime PASSED astropy/time/tests/test_basic.py::TestBasic::test_epoch_transform PASSED astropy/time/tests/test_basic.py::TestBasic::test_input_validation PASSED astropy/time/tests/test_basic.py::TestBasic::test_utc_leap_sec PASSED astropy/time/tests/test_basic.py::TestBasic::test_init_from_time_objects PASSED astropy/time/tests/test_basic.py::TestVal2::test_val2_ignored PASSED astropy/time/tests/test_basic.py::TestVal2::test_val2 PASSED astropy/time/tests/test_basic.py::TestVal2::test_val_broadcasts_against_val2 PASSED astropy/time/tests/test_basic.py::TestSubFormat::test_input_subformat PASSED astropy/time/tests/test_basic.py::TestSubFormat::test_input_subformat_fail PASSED astropy/time/tests/test_basic.py::TestSubFormat::test_bad_input_subformat PASSED astropy/time/tests/test_basic.py::TestSubFormat::test_output_subformat PASSED astropy/time/tests/test_basic.py::TestSubFormat::test_fits_format PASSED astropy/time/tests/test_basic.py::TestSubFormat::test_yday_format PASSED astropy/time/tests/test_basic.py::TestSubFormat::test_scale_input PASSED astropy/time/tests/test_basic.py::TestSubFormat::test_fits_scale PASSED astropy/time/tests/test_basic.py::TestSubFormat::test_fits_scale_representation PASSED astropy/time/tests/test_basic.py::TestSubFormat::test_scale_default PASSED astropy/time/tests/test_basic.py::TestSubFormat::test_epoch_times PASSED astropy/time/tests/test_basic.py::TestSofaErrors::test_bad_time PASSED astropy/time/tests/test_basic.py::TestCopyReplicate::test_immutable_input PASSED astropy/time/tests/test_basic.py::TestCopyReplicate::test_replicate PASSED astropy/time/tests/test_basic.py::TestCopyReplicate::test_copy PASSED astropy/time/tests/test_basic.py::test_python_builtin_copy PASSED astropy/time/tests/test_basic.py::test_now PASSED astropy/time/tests/test_basic.py::test_decimalyear PASSED astropy/time/tests/test_basic.py::test_fits_year0 PASSED astropy/time/tests/test_basic.py::test_fits_year10000 PASSED astropy/time/tests/test_basic.py::test_dir PASSED astropy/time/tests/test_basic.py::test_bool PASSED astropy/time/tests/test_basic.py::test_len_size PASSED astropy/time/tests/test_basic.py::test_TimeFormat_scale PASSED astropy/time/tests/test_basic.py::test_scale_conversion PASSED astropy/time/tests/test_basic.py::test_byteorder PASSED astropy/time/tests/test_basic.py::test_datetime_tzinfo PASSED astropy/time/tests/test_basic.py::test_subfmts_regex PASSED astropy/time/tests/test_basic.py::test_set_format_basic PASSED astropy/time/tests/test_basic.py::test_set_format_shares_subfmt PASSED astropy/time/tests/test_basic.py::test_set_format_does_not_share_subfmt PASSED astropy/time/tests/test_basic.py::test_replicate_value_error PASSED astropy/time/tests/test_basic.py::test_remove_astropy_time PASSED astropy/time/tests/test_basic.py::test_isiterable PASSED astropy/time/tests/test_basic.py::test_to_datetime PASSED astropy/time/tests/test_basic.py::test_to_datetime_pytz PASSED astropy/time/tests/test_basic.py::test_cache PASSED astropy/time/tests/test_basic.py::TestBasic::test_simple PASSED astropy/time/tests/test_basic.py::TestBasic::test_different_dimensions PASSED astropy/time/tests/test_basic.py::TestBasic::test_copy_time[2455197.5] PASSED astropy/time/tests/test_basic.py::TestBasic::test_copy_time[value1] PASSED astropy/time/tests/test_basic.py::TestBasic::test_getitem PASSED astropy/time/tests/test_basic.py::TestBasic::test_properties PASSED astropy/time/tests/test_basic.py::TestBasic::test_precision PASSED astropy/time/tests/test_basic.py::TestBasic::test_transforms PASSED astropy/time/tests/test_basic.py::TestBasic::test_location PASSED astropy/time/tests/test_basic.py::TestBasic::test_location_array PASSED astropy/time/tests/test_basic.py::TestBasic::test_all_transforms PASSED astropy/time/tests/test_basic.py::TestBasic::test_creating_all_formats PASSED astropy/time/tests/test_basic.py::TestBasic::test_datetime PASSED astropy/time/tests/test_basic.py::TestBasic::test_epoch_transform PASSED astropy/time/tests/test_basic.py::TestBasic::test_input_validation PASSED astropy/time/tests/test_basic.py::TestBasic::test_utc_leap_sec PASSED astropy/time/tests/test_basic.py::TestBasic::test_init_from_time_objects PASSED astropy/time/tests/test_basic.py::TestVal2::test_val2_ignored PASSED astropy/time/tests/test_basic.py::TestVal2::test_val2 PASSED astropy/time/tests/test_basic.py::TestVal2::test_val_broadcasts_against_val2 PASSED astropy/time/tests/test_basic.py::TestSubFormat::test_input_subformat PASSED astropy/time/tests/test_basic.py::TestSubFormat::test_input_subformat_fail PASSED astropy/time/tests/test_basic.py::TestSubFormat::test_bad_input_subformat PASSED astropy/time/tests/test_basic.py::TestSubFormat::test_output_subformat PASSED astropy/time/tests/test_basic.py::TestSubFormat::test_fits_format PASSED astropy/time/tests/test_basic.py::TestSubFormat::test_yday_format PASSED astropy/time/tests/test_basic.py::TestSubFormat::test_scale_input PASSED astropy/time/tests/test_basic.py::TestSubFormat::test_fits_scale PASSED astropy/time/tests/test_basic.py::TestSubFormat::test_fits_scale_representation PASSED astropy/time/tests/test_basic.py::TestSubFormat::test_scale_default PASSED astropy/time/tests/test_basic.py::TestSubFormat::test_epoch_times PASSED astropy/time/tests/test_basic.py::TestSofaErrors::test_bad_time PASSED astropy/time/tests/test_basic.py::TestCopyReplicate::test_immutable_input PASSED astropy/time/tests/test_basic.py::TestCopyReplicate::test_replicate PASSED astropy/time/tests/test_basic.py::TestCopyReplicate::test_copy PASSED astropy/time/tests/test_basic.py::test_python_builtin_copy PASSED astropy/time/tests/test_basic.py::test_now PASSED astropy/time/tests/test_basic.py::test_decimalyear PASSED astropy/time/tests/test_basic.py::test_fits_year0 PASSED astropy/time/tests/test_basic.py::test_fits_year10000 PASSED astropy/time/tests/test_basic.py::test_dir PASSED astropy/time/tests/test_basic.py::test_bool PASSED astropy/time/tests/test_basic.py::test_len_size PASSED astropy/time/tests/test_basic.py::test_TimeFormat_scale PASSED astropy/time/tests/test_basic.py::test_scale_conversion PASSED astropy/time/tests/test_basic.py::test_byteorder PASSED astropy/time/tests/test_basic.py::test_datetime_tzinfo PASSED astropy/time/tests/test_basic.py::test_subfmts_regex PASSED astropy/time/tests/test_basic.py::test_set_format_basic PASSED astropy/time/tests/test_basic.py::test_set_format_shares_subfmt PASSED astropy/time/tests/test_basic.py::test_set_format_does_not_share_subfmt PASSED astropy/time/tests/test_basic.py::test_replicate_value_error PASSED astropy/time/tests/test_basic.py::test_remove_astropy_time PASSED astropy/time/tests/test_basic.py::test_isiterable PASSED astropy/time/tests/test_basic.py::test_to_datetime PASSED astropy/time/tests/test_basic.py::test_to_datetime_pytz PASSED astropy/time/tests/test_basic.py::test_cache PASSED astropy/time/tests/test_comparisons.py::TestTimeComparisons::test_miscompares PASSED astropy/time/tests/test_comparisons.py::TestTimeComparisons::test_time PASSED astropy/time/tests/test_comparisons.py::TestTimeComparisons::test_timedelta PASSED astropy/time/tests/test_corrs.py::TestHelioBaryCentric::test_heliocentric PASSED astropy/time/tests/test_corrs.py::TestHelioBaryCentric::test_barycentric PASSED astropy/time/tests/test_corrs.py::TestHelioBaryCentric::test_arrays PASSED astropy/time/tests/test_corrs.py::TestHelioBaryCentric::test_ephemerides SKIPPED astropy/time/tests/test_delta.py::TestTimeDelta::test_sub PASSED astropy/time/tests/test_delta.py::TestTimeDelta::test_add PASSED astropy/time/tests/test_delta.py::TestTimeDelta::test_add_vector PASSED astropy/time/tests/test_delta.py::TestTimeDelta::test_sub_vector PASSED astropy/time/tests/test_delta.py::TestTimeDelta::test_copy_timedelta[values0] PASSED astropy/time/tests/test_delta.py::TestTimeDelta::test_copy_timedelta[values1] PASSED astropy/time/tests/test_delta.py::TestTimeDelta::test_neg_abs PASSED astropy/time/tests/test_delta.py::TestTimeDelta::test_mul_div PASSED astropy/time/tests/test_delta.py::TestTimeDelta::test_keep_properties PASSED astropy/time/tests/test_delta.py::TestTimeDelta::test_set_format PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_delta_scales_definition PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[tai-tai] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[tai-tcb] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[tai-tcg] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[tai-tdb] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[tai-tt] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[tai-ut1] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[tai-utc] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[tcb-tai] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[tcb-tcb] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[tcb-tcg] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[tcb-tdb] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[tcb-tt] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[tcb-ut1] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[tcb-utc] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[tcg-tai] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[tcg-tcb] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[tcg-tcg] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[tcg-tdb] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[tcg-tt] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[tcg-ut1] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[tcg-utc] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[tdb-tai] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[tdb-tcb] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[tdb-tcg] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[tdb-tdb] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[tdb-tt] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[tdb-ut1] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[tdb-utc] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[tt-tai] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[tt-tcb] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[tt-tcg] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[tt-tdb] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[tt-tt] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[tt-ut1] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[tt-utc] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[ut1-tai] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[ut1-tcb] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[ut1-tcg] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[ut1-tdb] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[ut1-tt] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[ut1-ut1] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[ut1-utc] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[utc-tai] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[utc-tcb] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[utc-tcg] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[utc-tdb] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[utc-tt] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[utc-ut1] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[utc-utc] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_delta_minus_delta PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_delta_scale_is_none[tai-op0] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_delta_scale_is_none[tai-op1] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_delta_scale_is_none[tcb-op2] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_delta_scale_is_none[tcb-op3] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_delta_scale_is_none[tcg-op4] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_delta_scale_is_none[tcg-op5] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_delta_scale_is_none[tdb-op6] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_delta_scale_is_none[tdb-op7] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_delta_scale_is_none[tt-op8] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_delta_scale_is_none[tt-op9] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_delta_scale_is_none[ut1-op10] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_delta_scale_is_none[ut1-op11] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_delta_scale_is_none[utc-op12] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_delta_scale_is_none[utc-op13] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_delta_day_is_86400_seconds[tai] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_delta_day_is_86400_seconds[tcb] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_delta_day_is_86400_seconds[tcg] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_delta_day_is_86400_seconds[tdb] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_delta_day_is_86400_seconds[tt] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_delta_day_is_86400_seconds[ut1] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_delta_day_is_86400_seconds[utc] PASSED astropy/time/tests/test_guess.py::TestGuess::test_guess1 PASSED astropy/time/tests/test_guess.py::TestGuess::test_guess2 PASSED astropy/time/tests/test_guess.py::TestGuess::test_guess3 PASSED astropy/time/tests/test_guess.py::TestGuess::test_guess4 PASSED astropy/time/tests/test_methods.py::TestManipulation::test_ravel PASSED astropy/time/tests/test_methods.py::TestManipulation::test_flatten PASSED astropy/time/tests/test_methods.py::TestManipulation::test_transpose PASSED astropy/time/tests/test_methods.py::TestManipulation::test_diagonal PASSED astropy/time/tests/test_methods.py::TestManipulation::test_swapaxes PASSED astropy/time/tests/test_methods.py::TestManipulation::test_reshape PASSED astropy/time/tests/test_methods.py::TestManipulation::test_shape_setting PASSED astropy/time/tests/test_methods.py::TestManipulation::test_squeeze PASSED astropy/time/tests/test_methods.py::TestManipulation::test_add_dimension PASSED astropy/time/tests/test_methods.py::TestManipulation::test_take PASSED astropy/time/tests/test_methods.py::TestManipulation::test_broadcast PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_argfuncs[kw0-min] PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_argfuncs[kw1-max] PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_argfuncs[kw2-sort] PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_argfuncs[kw3-min] PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_argfuncs[kw4-max] PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_argfuncs[kw5-sort] PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_argfuncs[kw6-min] PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_argfuncs[kw7-max] PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_argfuncs[kw8-sort] PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_argfuncs[kw9-min] PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_argfuncs[kw10-max] PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_argfuncs[kw11-sort] PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_argfuncs[kw12-min] PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_argfuncs[kw13-max] PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_argfuncs[kw14-sort] PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_funcs[kw0-min] PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_funcs[kw1-max] PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_funcs[kw2-sort] PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_funcs[kw3-min] PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_funcs[kw4-max] PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_funcs[kw5-sort] PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_funcs[kw6-min] PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_funcs[kw7-max] PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_funcs[kw8-sort] PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_funcs[kw9-min] PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_funcs[kw10-max] PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_funcs[kw11-sort] PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_funcs[kw12-min] PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_funcs[kw13-max] PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_funcs[kw14-sort] PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_argmin PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_argmax PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_argsort PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_min PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_max PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_ptp PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_sort PASSED astropy/time/tests/test_methods.py::test_regression PASSED astropy/time/tests/test_methods.py::TestManipulation::test_ravel PASSED astropy/time/tests/test_methods.py::TestManipulation::test_flatten PASSED astropy/time/tests/test_methods.py::TestManipulation::test_transpose PASSED astropy/time/tests/test_methods.py::TestManipulation::test_diagonal PASSED astropy/time/tests/test_methods.py::TestManipulation::test_swapaxes PASSED astropy/time/tests/test_methods.py::TestManipulation::test_reshape PASSED astropy/time/tests/test_methods.py::TestManipulation::test_shape_setting PASSED astropy/time/tests/test_methods.py::TestManipulation::test_squeeze PASSED astropy/time/tests/test_methods.py::TestManipulation::test_add_dimension PASSED astropy/time/tests/test_methods.py::TestManipulation::test_take PASSED astropy/time/tests/test_methods.py::TestManipulation::test_broadcast PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_argfuncs[kw0-min] PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_argfuncs[kw1-max] PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_argfuncs[kw2-sort] PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_argfuncs[kw3-min] PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_argfuncs[kw4-max] PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_argfuncs[kw5-sort] PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_argfuncs[kw6-min] PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_argfuncs[kw7-max] PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_argfuncs[kw8-sort] PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_argfuncs[kw9-min] PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_argfuncs[kw10-max] PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_argfuncs[kw11-sort] PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_argfuncs[kw12-min] PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_argfuncs[kw13-max] PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_argfuncs[kw14-sort] PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_funcs[kw0-min] PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_funcs[kw1-max] PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_funcs[kw2-sort] PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_funcs[kw3-min] PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_funcs[kw4-max] PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_funcs[kw5-sort] PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_funcs[kw6-min] PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_funcs[kw7-max] PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_funcs[kw8-sort] PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_funcs[kw9-min] PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_funcs[kw10-max] PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_funcs[kw11-sort] PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_funcs[kw12-min] PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_funcs[kw13-max] PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_funcs[kw14-sort] PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_argmin PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_argmax PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_argsort PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_min PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_max PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_ptp PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_sort PASSED astropy/time/tests/test_methods.py::test_regression PASSED astropy/time/tests/test_pickle.py::TestPickle::test_pickle PASSED astropy/time/tests/test_precision.py::test_addition PASSED astropy/time/tests/test_precision.py::test_mult_div PASSED astropy/time/tests/test_precision.py::test_init_variations PASSED astropy/time/tests/test_precision.py::test_precision_exceeds_64bit PASSED astropy/time/tests/test_precision.py::test_through_scale_change PASSED astropy/time/tests/test_precision.py::test_iso_init PASSED astropy/time/tests/test_precision.py::test_jd1_is_mult_of_half_or_one PASSED astropy/time/tests/test_precision.py::test_precision_neg xfail astropy/time/tests/test_precision.py::test_precision_epoch PASSED astropy/time/tests/test_precision.py::test_leap_seconds_rounded_correctly PASSED astropy/time/tests/test_quantity_interaction.py::TestTimeQuantity::test_valid_quantity_input PASSED astropy/time/tests/test_quantity_interaction.py::TestTimeQuantity::test_invalid_quantity_input PASSED astropy/time/tests/test_quantity_interaction.py::TestTimeQuantity::test_column_with_and_without_units PASSED astropy/time/tests/test_quantity_interaction.py::TestTimeQuantity::test_no_quantity_input_allowed PASSED astropy/time/tests/test_quantity_interaction.py::TestTimeQuantity::test_valid_quantity_operations PASSED astropy/time/tests/test_quantity_interaction.py::TestTimeQuantity::test_invalid_quantity_operations PASSED astropy/time/tests/test_quantity_interaction.py::TestTimeDeltaQuantity::test_valid_quantity_input PASSED astropy/time/tests/test_quantity_interaction.py::TestTimeDeltaQuantity::test_invalid_quantity_input PASSED astropy/time/tests/test_quantity_interaction.py::TestTimeDeltaQuantity::test_quantity_output PASSED astropy/time/tests/test_quantity_interaction.py::TestTimeDeltaQuantity::test_valid_quantity_operations1 PASSED astropy/time/tests/test_quantity_interaction.py::TestTimeDeltaQuantity::test_valid_quantity_operations2 PASSED astropy/time/tests/test_quantity_interaction.py::TestTimeDeltaQuantity::test_invalid_quantity_operations PASSED astropy/time/tests/test_quantity_interaction.py::TestTimeDeltaQuantity::test_invalid_quantity_broadcast PASSED astropy/time/tests/test_quantity_interaction.py::TestDeltaAttributes::test_delta_ut1_utc PASSED astropy/time/tests/test_quantity_interaction.py::TestDeltaAttributes::test_delta_tdb_tt PASSED astropy/time/tests/test_sidereal.py::test_doc_string_contains_models PASSED astropy/time/tests/test_sidereal.py::TestERFATestCases::test_iau_models[erfa_test_input0] PASSED astropy/time/tests/test_sidereal.py::TestERFATestCases::test_iau_models[erfa_test_input1] PASSED astropy/time/tests/test_sidereal.py::TestERFATestCases::test_iau_models[erfa_test_input2] PASSED astropy/time/tests/test_sidereal.py::TestERFATestCases::test_iau_models[erfa_test_input3] PASSED astropy/time/tests/test_sidereal.py::TestERFATestCases::test_iau_models[erfa_test_input4] PASSED astropy/time/tests/test_sidereal.py::TestERFATestCases::test_iau_models[erfa_test_input5] PASSED astropy/time/tests/test_sidereal.py::TestERFATestCases::test_iau_models[erfa_test_input6] PASSED astropy/time/tests/test_sidereal.py::TestST::test_gmst PASSED astropy/time/tests/test_sidereal.py::TestST::test_gst PASSED astropy/time/tests/test_sidereal.py::TestST::test_gmst_gst_close PASSED astropy/time/tests/test_sidereal.py::TestST::test_gmst_independent_of_self_location PASSED astropy/time/tests/test_sidereal.py::TestST::test_lst[mean] PASSED astropy/time/tests/test_sidereal.py::TestST::test_lst[apparent] PASSED astropy/time/tests/test_sidereal.py::TestST::test_lst_needs_location PASSED astropy/time/tests/test_sidereal.py::TestModelInterpretation::test_model_uniqueness[mean] PASSED astropy/time/tests/test_sidereal.py::TestModelInterpretation::test_model_uniqueness[apparent] PASSED astropy/time/tests/test_sidereal.py::TestModelInterpretation::test_wrong_models_raise_exceptions[mean-apparent] PASSED astropy/time/tests/test_sidereal.py::TestModelInterpretation::test_wrong_models_raise_exceptions[apparent-mean] PASSED astropy/time/tests/test_ut1.py::TestTimeUT1::test_utc_to_ut1 PASSED astropy/time/tests/test_ut1.py::TestTimeUT1::test_ut1_to_utc PASSED astropy/time/tests/test_ut1.py::TestTimeUT1::test_delta_ut1_utc PASSED astropy/time/tests/test_ut1.py::TestTimeUT1_IERSA::test_ut1_iers_A SKIPPED astropy/time/tests/test_ut1.py::TestTimeUT1_IERS_Auto::test_ut1_iers_auto SKIPPED astropy/units/cds.py::astropy.units.cds PASSED astropy/units/core.py::astropy.units.core.UnitBase.physical_type PASSED astropy/units/core.py::astropy.units.core.add_enabled_units PASSED astropy/units/core.py::astropy.units.core.set_enabled_equivalencies PASSED astropy/units/core.py::astropy.units.core.set_enabled_units PASSED astropy/units/deprecated.py::astropy.units.deprecated PASSED astropy/units/equivalencies.py::astropy.units.equivalencies.brightness_temperature PASSED astropy/units/equivalencies.py::astropy.units.equivalencies.doppler_optical PASSED astropy/units/equivalencies.py::astropy.units.equivalencies.doppler_radio PASSED astropy/units/equivalencies.py::astropy.units.equivalencies.doppler_relativistic PASSED astropy/units/imperial.py::astropy.units.imperial PASSED astropy/units/format/console.py::astropy.units.format.console.Console PASSED astropy/units/format/unicode_format.py::astropy.units.format.unicode_format.Unicode PASSED astropy/units/function/logarithmic.py::astropy.units.function.logarithmic.LogQuantity PASSED astropy/units/function/magnitude_zero_points.py::astropy.units.function.magnitude_zero_points PASSED astropy/units/tests/test_deprecated.py::test_emu PASSED astropy/units/tests/test_deprecated.py::test_required_by_vounit PASSED astropy/units/tests/test_deprecated.py::test_emu PASSED astropy/units/tests/test_deprecated.py::test_required_by_vounit PASSED astropy/units/tests/test_equivalencies.py::test_dimensionless_angles PASSED astropy/units/tests/test_equivalencies.py::test_logarithmic[log_unit0] PASSED astropy/units/tests/test_equivalencies.py::test_logarithmic[log_unit1] PASSED astropy/units/tests/test_equivalencies.py::test_logarithmic[log_unit2] PASSED astropy/units/tests/test_equivalencies.py::test_doppler_frequency_0[function0] PASSED astropy/units/tests/test_equivalencies.py::test_doppler_frequency_0[function1] PASSED astropy/units/tests/test_equivalencies.py::test_doppler_frequency_0[function2] PASSED astropy/units/tests/test_equivalencies.py::test_doppler_wavelength_0[function0] PASSED astropy/units/tests/test_equivalencies.py::test_doppler_wavelength_0[function1] PASSED astropy/units/tests/test_equivalencies.py::test_doppler_wavelength_0[function2] PASSED astropy/units/tests/test_equivalencies.py::test_doppler_energy_0[function0] PASSED astropy/units/tests/test_equivalencies.py::test_doppler_energy_0[function1] PASSED astropy/units/tests/test_equivalencies.py::test_doppler_energy_0[function2] PASSED astropy/units/tests/test_equivalencies.py::test_doppler_frequency_circle[function0] PASSED astropy/units/tests/test_equivalencies.py::test_doppler_frequency_circle[function1] PASSED astropy/units/tests/test_equivalencies.py::test_doppler_frequency_circle[function2] PASSED astropy/units/tests/test_equivalencies.py::test_doppler_wavelength_circle[function0] PASSED astropy/units/tests/test_equivalencies.py::test_doppler_wavelength_circle[function1] PASSED astropy/units/tests/test_equivalencies.py::test_doppler_wavelength_circle[function2] PASSED astropy/units/tests/test_equivalencies.py::test_doppler_energy_circle[function0] PASSED astropy/units/tests/test_equivalencies.py::test_doppler_energy_circle[function1] PASSED astropy/units/tests/test_equivalencies.py::test_doppler_energy_circle[function2] PASSED astropy/units/tests/test_equivalencies.py::test_30kms[function0-999.899940784] PASSED astropy/units/tests/test_equivalencies.py::test_30kms[function1-999.899930771] PASSED astropy/units/tests/test_equivalencies.py::test_30kms[function2-999.899935778] PASSED astropy/units/tests/test_equivalencies.py::test_bad_restfreqs[function0-5] PASSED astropy/units/tests/test_equivalencies.py::test_bad_restfreqs[function1-value1] PASSED astropy/units/tests/test_equivalencies.py::test_bad_restfreqs[function2-None] PASSED astropy/units/tests/test_equivalencies.py::test_massenergy PASSED astropy/units/tests/test_equivalencies.py::test_is_equivalent PASSED astropy/units/tests/test_equivalencies.py::test_parallax PASSED astropy/units/tests/test_equivalencies.py::test_parallax2 PASSED astropy/units/tests/test_equivalencies.py::test_spectral PASSED astropy/units/tests/test_equivalencies.py::test_spectral2 PASSED astropy/units/tests/test_equivalencies.py::test_spectral3 PASSED astropy/units/tests/test_equivalencies.py::test_spectral4[in_val0-in_unit0] PASSED astropy/units/tests/test_equivalencies.py::test_spectral4[in_val1-in_unit1] PASSED astropy/units/tests/test_equivalencies.py::test_spectral4[in_val2-in_unit2] PASSED astropy/units/tests/test_equivalencies.py::test_spectral4[in_val3-in_unit3] PASSED astropy/units/tests/test_equivalencies.py::test_spectraldensity2 PASSED astropy/units/tests/test_equivalencies.py::test_spectraldensity3 PASSED astropy/units/tests/test_equivalencies.py::test_spectraldensity4 PASSED astropy/units/tests/test_equivalencies.py::test_spectraldensity5 PASSED astropy/units/tests/test_equivalencies.py::test_equivalent_units PASSED astropy/units/tests/test_equivalencies.py::test_equivalent_units2 PASSED astropy/units/tests/test_equivalencies.py::test_trivial_equivalency PASSED astropy/units/tests/test_equivalencies.py::test_invalid_equivalency PASSED astropy/units/tests/test_equivalencies.py::test_irrelevant_equivalency PASSED astropy/units/tests/test_equivalencies.py::test_brightness_temperature PASSED astropy/units/tests/test_equivalencies.py::test_equivalency_context PASSED astropy/units/tests/test_equivalencies.py::test_equivalency_context_manager PASSED astropy/units/tests/test_equivalencies.py::test_temperature PASSED astropy/units/tests/test_equivalencies.py::test_temperature_energy PASSED astropy/units/tests/test_equivalencies.py::test_molar_mass_amu PASSED astropy/units/tests/test_equivalencies.py::test_compose_equivalencies PASSED astropy/units/tests/test_equivalencies.py::test_pixel_scale PASSED astropy/units/tests/test_equivalencies.py::test_plate_scale PASSED astropy/units/tests/test_format.py::test_unit_grammar[strings0-unit0] PASSED astropy/units/tests/test_format.py::test_unit_grammar[strings1-unit1] PASSED astropy/units/tests/test_format.py::test_unit_grammar[strings2-unit2] PASSED astropy/units/tests/test_format.py::test_unit_grammar[strings3-unit3] PASSED astropy/units/tests/test_format.py::test_unit_grammar[strings4-unit4] PASSED astropy/units/tests/test_format.py::test_unit_grammar[strings5-unit5] PASSED astropy/units/tests/test_format.py::test_unit_grammar[strings6-unit6] PASSED astropy/units/tests/test_format.py::test_unit_grammar[strings7-unit7] PASSED astropy/units/tests/test_format.py::test_unit_grammar[strings8-unit8] PASSED astropy/units/tests/test_format.py::test_unit_grammar[strings9-unit9] PASSED astropy/units/tests/test_format.py::test_unit_grammar[strings10-unit10] PASSED astropy/units/tests/test_format.py::test_unit_grammar[strings11-unit11] PASSED astropy/units/tests/test_format.py::test_unit_grammar[strings12-unit12] PASSED astropy/units/tests/test_format.py::test_unit_grammar_fail[sin( /pixel /s)] PASSED astropy/units/tests/test_format.py::test_unit_grammar_fail[mag(mag)] PASSED astropy/units/tests/test_format.py::test_unit_grammar_fail[dB(dB(mW))] PASSED astropy/units/tests/test_format.py::test_unit_grammar_fail[dex()] PASSED astropy/units/tests/test_format.py::test_cds_grammar[strings0-unit0] PASSED astropy/units/tests/test_format.py::test_cds_grammar[strings1-unit1] PASSED astropy/units/tests/test_format.py::test_cds_grammar[strings2-unit2] PASSED astropy/units/tests/test_format.py::test_cds_grammar[strings3-unit3] PASSED astropy/units/tests/test_format.py::test_cds_grammar[strings4-unit4] PASSED astropy/units/tests/test_format.py::test_cds_grammar[strings5-unit5] PASSED astropy/units/tests/test_format.py::test_cds_grammar[strings6-unit6] PASSED astropy/units/tests/test_format.py::test_cds_grammar[strings7-unit7] PASSED astropy/units/tests/test_format.py::test_cds_grammar[strings8-unit8] PASSED astropy/units/tests/test_format.py::test_cds_grammar[strings9-unit9] PASSED astropy/units/tests/test_format.py::test_cds_grammar[strings10-unit10] PASSED astropy/units/tests/test_format.py::test_cds_grammar[strings11-unit11] PASSED astropy/units/tests/test_format.py::test_cds_grammar[strings12-unit12] PASSED astropy/units/tests/test_format.py::test_cds_grammar[strings13-unit13] PASSED astropy/units/tests/test_format.py::test_cds_grammar[strings14-unit14] PASSED astropy/units/tests/test_format.py::test_cds_grammar[strings15-unit15] PASSED astropy/units/tests/test_format.py::test_cds_grammar[strings16-unit16] PASSED astropy/units/tests/test_format.py::test_cds_grammar[strings17-unit17] PASSED astropy/units/tests/test_format.py::test_cds_grammar[strings18-unit18] PASSED astropy/units/tests/test_format.py::test_cds_grammar[strings19-unit19] PASSED astropy/units/tests/test_format.py::test_cds_grammar[strings20-unit20] PASSED astropy/units/tests/test_format.py::test_cds_grammar[strings21-unit21] PASSED astropy/units/tests/test_format.py::test_cds_grammar[strings22-unit22] PASSED astropy/units/tests/test_format.py::test_cds_grammar[strings23-unit23] PASSED astropy/units/tests/test_format.py::test_cds_grammar[strings24-unit24] PASSED astropy/units/tests/test_format.py::test_cds_grammar[strings25-unit25] PASSED astropy/units/tests/test_format.py::test_cds_grammar[strings26-unit26] PASSED astropy/units/tests/test_format.py::test_cds_grammar[strings27-unit27] PASSED astropy/units/tests/test_format.py::test_cds_grammar[strings28-unit28] PASSED astropy/units/tests/test_format.py::test_cds_grammar[strings29-unit29] PASSED astropy/units/tests/test_format.py::test_cds_grammar[strings30-unit30] PASSED astropy/units/tests/test_format.py::test_cds_grammar_fail[0.1 nm] PASSED astropy/units/tests/test_format.py::test_cds_grammar_fail[solMass(3/2)] PASSED astropy/units/tests/test_format.py::test_cds_grammar_fail[km / s] PASSED astropy/units/tests/test_format.py::test_cds_grammar_fail[km s-1] PASSED astropy/units/tests/test_format.py::test_cds_grammar_fail[pix0.1nm] PASSED astropy/units/tests/test_format.py::test_cds_grammar_fail[pix/(0.1nm)] PASSED astropy/units/tests/test_format.py::test_cds_grammar_fail[km*s] PASSED astropy/units/tests/test_format.py::test_cds_grammar_fail[km**2] PASSED astropy/units/tests/test_format.py::test_cds_grammar_fail[5x8+3m] PASSED astropy/units/tests/test_format.py::test_cds_grammar_fail[0.1---] PASSED astropy/units/tests/test_format.py::test_cds_grammar_fail[---m] PASSED astropy/units/tests/test_format.py::test_cds_grammar_fail[m---] PASSED astropy/units/tests/test_format.py::test_cds_grammar_fail[mag(s-1)] PASSED astropy/units/tests/test_format.py::test_cds_grammar_fail[dB(mW)] PASSED astropy/units/tests/test_format.py::test_cds_grammar_fail[dex(cm s-2)] PASSED astropy/units/tests/test_format.py::test_ogip_grammar[strings0-unit0] PASSED astropy/units/tests/test_format.py::test_ogip_grammar[strings1-unit1] PASSED astropy/units/tests/test_format.py::test_ogip_grammar[strings2-unit2] PASSED astropy/units/tests/test_format.py::test_ogip_grammar[strings3-unit3] PASSED astropy/units/tests/test_format.py::test_ogip_grammar[strings4-unit4] PASSED astropy/units/tests/test_format.py::test_ogip_grammar[strings5-unit5] PASSED astropy/units/tests/test_format.py::test_ogip_grammar[strings6-unit6] PASSED astropy/units/tests/test_format.py::test_ogip_grammar[strings7-unit7] PASSED astropy/units/tests/test_format.py::test_ogip_grammar[strings8-unit8] PASSED astropy/units/tests/test_format.py::test_ogip_grammar_fail[log(photon /m**2 /s /Hz)] PASSED astropy/units/tests/test_format.py::test_ogip_grammar_fail[sin( /pixel /s)] PASSED astropy/units/tests/test_format.py::test_ogip_grammar_fail[log(photon /cm**2 /s /Hz) /(sin( /pixel /s))] PASSED astropy/units/tests/test_format.py::test_ogip_grammar_fail[log(photon /cm**2 /s /Hz) (sin( /pixel /s))**(-1)] PASSED astropy/units/tests/test_format.py::test_ogip_grammar_fail[dB(mW)] PASSED astropy/units/tests/test_format.py::test_ogip_grammar_fail[dex(cm/s**2)] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit0] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit1] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit2] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit3] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit4] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit5] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit6] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit7] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit8] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit9] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit10] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit11] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit12] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit13] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit14] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit15] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit16] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit17] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit18] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit19] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit20] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit21] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit22] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit23] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit24] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit25] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit26] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit27] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit28] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit29] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit30] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit31] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit32] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit33] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit34] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit35] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit36] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit37] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit38] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit39] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit40] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit41] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit42] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit43] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit44] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit45] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit46] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit47] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit48] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit49] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit50] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit51] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit52] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit53] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit54] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit55] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit56] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit57] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit58] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit59] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit60] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit61] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit62] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit63] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit64] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit65] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit66] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit67] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit68] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit69] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit70] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit71] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit72] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit73] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit74] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit75] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit76] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit77] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit78] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit79] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit80] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit81] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit82] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit83] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit84] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit85] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit86] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit87] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit88] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit89] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit90] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit91] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit92] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit93] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit94] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit95] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit96] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit97] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit98] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit99] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit100] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit101] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit102] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit103] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit104] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit105] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit106] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit107] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit108] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit109] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit110] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit111] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit112] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit113] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit114] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit115] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit116] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit117] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit118] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit119] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit120] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit121] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit122] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit123] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit124] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit125] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit126] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit127] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit128] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit129] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit130] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit131] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit132] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit133] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit134] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit135] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit136] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit137] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit138] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit139] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit140] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit141] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit142] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit143] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit144] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit145] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit146] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit147] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit148] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit149] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit150] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit151] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit152] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit153] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit154] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit155] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit156] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit157] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit158] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit159] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit160] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit161] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit162] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit163] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit164] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit165] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit166] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit167] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit168] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit169] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit170] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit171] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit172] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit173] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit174] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit175] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit176] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit177] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit178] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit179] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit180] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit181] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit182] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit183] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit184] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit185] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit186] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit187] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit188] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit189] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit190] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit191] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit192] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit193] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit194] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit195] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit196] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit197] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit198] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit199] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit200] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit201] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit202] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit203] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit204] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit205] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit206] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit207] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit208] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit209] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit210] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit211] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit212] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit213] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit0] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit1] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit2] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit3] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit4] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit5] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit6] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit7] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit8] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit9] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit10] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit11] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit12] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit13] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit14] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit15] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit16] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit17] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit18] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit19] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit20] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit21] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit22] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit23] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit24] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit25] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit26] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit27] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit28] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit29] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit30] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit31] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit32] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit33] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit34] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit35] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit36] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit37] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit38] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit39] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit40] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit41] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit42] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit43] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit44] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit45] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit46] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit47] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit48] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit49] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit50] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit51] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit52] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit53] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit54] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit55] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit56] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit57] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit58] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit59] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit60] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit61] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit62] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit63] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit64] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit65] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit66] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit67] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit68] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit69] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit0] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit1] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit2] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit3] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit4] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit5] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit6] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit7] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit8] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit9] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit10] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit11] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit12] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit13] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit14] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit15] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit16] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit17] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit18] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit19] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit20] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit21] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit22] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit23] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit24] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit25] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit26] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit27] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit28] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit29] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit30] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit31] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit32] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit33] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit34] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit35] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit36] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit37] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit38] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit39] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit40] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit41] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit42] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit43] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit44] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit45] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit46] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit47] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit48] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit49] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit50] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit51] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit52] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit53] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit54] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit55] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit56] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit57] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit58] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit59] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit60] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit61] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit62] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit63] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit64] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit65] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit66] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit67] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit0] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit1] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit2] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit3] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit4] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit5] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit6] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit7] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit8] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit9] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit10] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit11] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit12] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit13] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit14] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit15] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit16] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit17] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit18] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit19] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit20] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit21] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit22] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit23] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit24] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit25] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit26] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit27] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit28] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit29] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit30] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit31] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit32] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit33] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit34] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit35] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit36] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit37] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit38] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit39] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit40] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit41] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit42] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit43] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit44] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit45] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit46] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit47] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit48] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit49] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit50] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit51] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit52] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit53] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit54] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit55] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit56] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit57] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit58] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit59] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit60] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit61] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit62] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit63] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit64] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit65] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit66] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit67] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit68] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit69] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit70] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit71] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit72] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit73] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit74] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit75] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit76] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit77] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit78] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit79] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit80] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit81] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit82] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit83] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit84] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit85] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit86] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit87] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit88] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit89] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit90] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit91] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit92] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit93] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit94] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit95] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit96] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit97] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit98] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit99] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit100] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit101] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit102] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit103] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit104] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit0] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit1] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit2] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit3] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit4] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit5] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit6] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit7] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit8] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit9] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit10] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit11] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit12] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit13] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit14] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit15] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit16] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit17] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit18] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit19] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit20] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit21] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit22] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit23] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit24] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit25] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit26] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit27] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit28] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit29] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit30] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit31] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit32] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit33] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit34] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit35] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit36] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit37] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit38] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit39] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit40] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit41] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit42] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit43] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit44] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit45] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit46] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit47] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit48] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit49] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit50] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit51] PASSED astropy/units/tests/test_format.py::test_fits_units_available PASSED astropy/units/tests/test_format.py::test_vo_units_available PASSED astropy/units/tests/test_format.py::test_cds_units_available PASSED astropy/units/tests/test_format.py::test_cds_non_ascii_unit PASSED astropy/units/tests/test_format.py::test_latex PASSED astropy/units/tests/test_format.py::test_new_style_latex PASSED astropy/units/tests/test_format.py::test_latex_scale PASSED astropy/units/tests/test_format.py::test_latex_inline_scale PASSED astropy/units/tests/test_format.py::test_format_styles[generic-erg / (cm2 s)] PASSED astropy/units/tests/test_format.py::test_format_styles[s-erg / (cm2 s)] PASSED astropy/units/tests/test_format.py::test_format_styles[console- erg \n ------\n s cm^2] PASSED astropy/units/tests/test_format.py::test_format_styles[latex-$\\mathrm{\\frac{erg}{s\\,cm^{2}}}$] PASSED astropy/units/tests/test_format.py::test_format_styles[latex_inline-$\\mathrm{erg\\,s^{-1}\\,cm^{-2}}$] PASSED astropy/units/tests/test_format.py::test_format_styles[>20s- erg / (cm2 s)] PASSED astropy/units/tests/test_format.py::test_flatten_to_known PASSED astropy/units/tests/test_format.py::test_flatten_impossible PASSED astropy/units/tests/test_format.py::test_console_out PASSED astropy/units/tests/test_format.py::test_flexible_float PASSED astropy/units/tests/test_format.py::test_fraction_repr PASSED astropy/units/tests/test_format.py::test_scale_effectively_unity PASSED astropy/units/tests/test_format.py::test_percent PASSED astropy/units/tests/test_format.py::test_scaled_dimensionless PASSED astropy/units/tests/test_format.py::test_deprecated_did_you_mean_units PASSED astropy/units/tests/test_format.py::test_fits_function[mag(ct/s)] PASSED astropy/units/tests/test_format.py::test_fits_function[dB(mW)] PASSED astropy/units/tests/test_format.py::test_fits_function[dex(cm s**-2)] PASSED astropy/units/tests/test_format.py::test_vounit_function[mag(ct/s)] PASSED astropy/units/tests/test_format.py::test_vounit_function[dB(mW)] PASSED astropy/units/tests/test_format.py::test_vounit_function[dex(cm s**-2)] PASSED astropy/units/tests/test_format.py::test_vounit_binary_prefix PASSED astropy/units/tests/test_format.py::test_vounit_unknown PASSED astropy/units/tests/test_format.py::test_vounit_details PASSED astropy/units/tests/test_format.py::test_vounit_custom PASSED astropy/units/tests/test_format.py::test_vounit_implicit_custom PASSED astropy/units/tests/test_format.py::test_fits_scale_factor PASSED astropy/units/tests/test_format.py::test_unit_grammar[strings0-unit0] PASSED astropy/units/tests/test_format.py::test_unit_grammar[strings1-unit1] PASSED astropy/units/tests/test_format.py::test_unit_grammar[strings2-unit2] PASSED astropy/units/tests/test_format.py::test_unit_grammar[strings3-unit3] PASSED astropy/units/tests/test_format.py::test_unit_grammar[strings4-unit4] PASSED astropy/units/tests/test_format.py::test_unit_grammar[strings5-unit5] PASSED astropy/units/tests/test_format.py::test_unit_grammar[strings6-unit6] PASSED astropy/units/tests/test_format.py::test_unit_grammar[strings7-unit7] PASSED astropy/units/tests/test_format.py::test_unit_grammar[strings8-unit8] PASSED astropy/units/tests/test_format.py::test_unit_grammar[strings9-unit9] PASSED astropy/units/tests/test_format.py::test_unit_grammar[strings10-unit10] PASSED astropy/units/tests/test_format.py::test_unit_grammar[strings11-unit11] PASSED astropy/units/tests/test_format.py::test_unit_grammar[strings12-unit12] PASSED astropy/units/tests/test_format.py::test_unit_grammar_fail[sin( /pixel /s)] PASSED astropy/units/tests/test_format.py::test_unit_grammar_fail[mag(mag)] PASSED astropy/units/tests/test_format.py::test_unit_grammar_fail[dB(dB(mW))] PASSED astropy/units/tests/test_format.py::test_unit_grammar_fail[dex()] PASSED astropy/units/tests/test_format.py::test_cds_grammar[strings0-unit0] PASSED astropy/units/tests/test_format.py::test_cds_grammar[strings1-unit1] PASSED astropy/units/tests/test_format.py::test_cds_grammar[strings2-unit2] PASSED astropy/units/tests/test_format.py::test_cds_grammar[strings3-unit3] PASSED astropy/units/tests/test_format.py::test_cds_grammar[strings4-unit4] PASSED astropy/units/tests/test_format.py::test_cds_grammar[strings5-unit5] PASSED astropy/units/tests/test_format.py::test_cds_grammar[strings6-unit6] PASSED astropy/units/tests/test_format.py::test_cds_grammar[strings7-unit7] PASSED astropy/units/tests/test_format.py::test_cds_grammar[strings8-unit8] PASSED astropy/units/tests/test_format.py::test_cds_grammar[strings9-unit9] PASSED astropy/units/tests/test_format.py::test_cds_grammar[strings10-unit10] PASSED astropy/units/tests/test_format.py::test_cds_grammar[strings11-unit11] PASSED astropy/units/tests/test_format.py::test_cds_grammar[strings12-unit12] PASSED astropy/units/tests/test_format.py::test_cds_grammar[strings13-unit13] PASSED astropy/units/tests/test_format.py::test_cds_grammar[strings14-unit14] PASSED astropy/units/tests/test_format.py::test_cds_grammar[strings15-unit15] PASSED astropy/units/tests/test_format.py::test_cds_grammar[strings16-unit16] PASSED astropy/units/tests/test_format.py::test_cds_grammar[strings17-unit17] PASSED astropy/units/tests/test_format.py::test_cds_grammar[strings18-unit18] PASSED astropy/units/tests/test_format.py::test_cds_grammar[strings19-unit19] PASSED astropy/units/tests/test_format.py::test_cds_grammar[strings20-unit20] PASSED astropy/units/tests/test_format.py::test_cds_grammar[strings21-unit21] PASSED astropy/units/tests/test_format.py::test_cds_grammar[strings22-unit22] PASSED astropy/units/tests/test_format.py::test_cds_grammar[strings23-unit23] PASSED astropy/units/tests/test_format.py::test_cds_grammar[strings24-unit24] PASSED astropy/units/tests/test_format.py::test_cds_grammar[strings25-unit25] PASSED astropy/units/tests/test_format.py::test_cds_grammar[strings26-unit26] PASSED astropy/units/tests/test_format.py::test_cds_grammar[strings27-unit27] PASSED astropy/units/tests/test_format.py::test_cds_grammar[strings28-unit28] PASSED astropy/units/tests/test_format.py::test_cds_grammar[strings29-unit29] PASSED astropy/units/tests/test_format.py::test_cds_grammar[strings30-unit30] PASSED astropy/units/tests/test_format.py::test_cds_grammar_fail[0.1 nm] PASSED astropy/units/tests/test_format.py::test_cds_grammar_fail[solMass(3/2)] PASSED astropy/units/tests/test_format.py::test_cds_grammar_fail[km / s] PASSED astropy/units/tests/test_format.py::test_cds_grammar_fail[km s-1] PASSED astropy/units/tests/test_format.py::test_cds_grammar_fail[pix0.1nm] PASSED astropy/units/tests/test_format.py::test_cds_grammar_fail[pix/(0.1nm)] PASSED astropy/units/tests/test_format.py::test_cds_grammar_fail[km*s] PASSED astropy/units/tests/test_format.py::test_cds_grammar_fail[km**2] PASSED astropy/units/tests/test_format.py::test_cds_grammar_fail[5x8+3m] PASSED astropy/units/tests/test_format.py::test_cds_grammar_fail[0.1---] PASSED astropy/units/tests/test_format.py::test_cds_grammar_fail[---m] PASSED astropy/units/tests/test_format.py::test_cds_grammar_fail[m---] PASSED astropy/units/tests/test_format.py::test_cds_grammar_fail[mag(s-1)] PASSED astropy/units/tests/test_format.py::test_cds_grammar_fail[dB(mW)] PASSED astropy/units/tests/test_format.py::test_cds_grammar_fail[dex(cm s-2)] PASSED astropy/units/tests/test_format.py::test_ogip_grammar[strings0-unit0] PASSED astropy/units/tests/test_format.py::test_ogip_grammar[strings1-unit1] PASSED astropy/units/tests/test_format.py::test_ogip_grammar[strings2-unit2] PASSED astropy/units/tests/test_format.py::test_ogip_grammar[strings3-unit3] PASSED astropy/units/tests/test_format.py::test_ogip_grammar[strings4-unit4] PASSED astropy/units/tests/test_format.py::test_ogip_grammar[strings5-unit5] PASSED astropy/units/tests/test_format.py::test_ogip_grammar[strings6-unit6] PASSED astropy/units/tests/test_format.py::test_ogip_grammar[strings7-unit7] PASSED astropy/units/tests/test_format.py::test_ogip_grammar[strings8-unit8] PASSED astropy/units/tests/test_format.py::test_ogip_grammar_fail[log(photon /m**2 /s /Hz)] PASSED astropy/units/tests/test_format.py::test_ogip_grammar_fail[sin( /pixel /s)] PASSED astropy/units/tests/test_format.py::test_ogip_grammar_fail[log(photon /cm**2 /s /Hz) /(sin( /pixel /s))] PASSED astropy/units/tests/test_format.py::test_ogip_grammar_fail[log(photon /cm**2 /s /Hz) (sin( /pixel /s))**(-1)] PASSED astropy/units/tests/test_format.py::test_ogip_grammar_fail[dB(mW)] PASSED astropy/units/tests/test_format.py::test_ogip_grammar_fail[dex(cm/s**2)] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit0] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit1] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit2] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit3] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit4] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit5] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit6] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit7] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit8] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit9] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit10] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit11] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit12] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit13] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit14] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit15] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit16] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit17] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit18] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit19] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit20] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit21] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit22] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit23] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit24] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit25] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit26] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit27] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit28] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit29] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit30] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit31] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit32] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit33] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit34] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit35] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit36] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit37] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit38] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit39] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit40] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit41] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit42] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit43] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit44] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit45] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit46] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit47] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit48] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit49] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit50] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit51] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit52] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit53] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit54] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit55] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit56] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit57] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit58] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit59] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit60] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit61] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit62] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit63] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit64] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit65] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit66] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit67] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit68] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit69] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit70] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit71] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit72] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit73] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit74] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit75] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit76] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit77] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit78] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit79] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit80] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit81] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit82] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit83] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit84] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit85] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit86] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit87] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit88] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit89] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit90] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit91] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit92] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit93] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit94] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit95] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit96] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit97] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit98] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit99] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit100] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit101] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit102] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit103] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit104] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit105] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit106] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit107] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit108] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit109] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit110] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit111] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit112] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit113] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit114] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit115] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit116] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit117] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit118] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit119] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit120] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit121] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit122] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit123] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit124] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit125] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit126] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit127] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit128] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit129] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit130] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit131] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit132] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit133] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit134] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit135] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit136] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit137] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit138] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit139] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit140] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit141] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit142] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit143] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit144] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit145] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit146] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit147] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit148] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit149] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit150] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit151] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit152] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit153] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit154] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit155] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit156] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit157] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit158] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit159] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit160] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit161] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit162] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit163] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit164] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit165] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit166] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit167] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit168] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit169] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit170] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit171] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit172] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit173] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit174] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit175] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit176] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit177] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit178] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit179] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit180] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit181] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit182] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit183] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit184] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit185] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit186] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit187] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit188] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit189] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit190] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit191] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit192] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit193] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit194] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit195] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit196] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit197] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit198] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit199] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit200] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit201] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit202] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit203] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit204] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit205] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit206] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit207] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit208] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit209] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit210] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit211] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit212] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit213] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit0] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit1] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit2] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit3] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit4] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit5] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit6] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit7] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit8] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit9] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit10] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit11] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit12] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit13] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit14] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit15] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit16] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit17] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit18] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit19] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit20] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit21] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit22] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit23] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit24] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit25] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit26] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit27] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit28] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit29] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit30] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit31] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit32] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit33] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit34] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit35] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit36] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit37] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit38] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit39] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit40] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit41] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit42] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit43] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit44] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit45] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit46] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit47] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit48] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit49] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit50] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit51] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit52] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit53] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit54] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit55] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit56] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit57] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit58] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit59] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit60] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit61] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit62] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit63] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit64] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit65] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit66] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit67] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit68] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit69] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit0] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit1] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit2] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit3] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit4] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit5] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit6] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit7] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit8] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit9] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit10] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit11] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit12] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit13] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit14] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit15] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit16] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit17] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit18] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit19] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit20] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit21] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit22] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit23] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit24] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit25] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit26] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit27] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit28] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit29] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit30] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit31] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit32] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit33] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit34] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit35] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit36] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit37] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit38] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit39] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit40] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit41] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit42] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit43] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit44] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit45] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit46] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit47] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit48] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit49] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit50] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit51] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit52] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit53] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit54] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit55] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit56] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit57] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit58] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit59] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit60] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit61] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit62] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit63] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit64] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit65] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit66] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit67] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit0] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit1] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit2] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit3] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit4] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit5] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit6] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit7] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit8] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit9] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit10] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit11] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit12] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit13] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit14] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit15] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit16] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit17] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit18] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit19] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit20] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit21] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit22] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit23] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit24] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit25] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit26] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit27] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit28] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit29] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit30] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit31] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit32] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit33] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit34] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit35] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit36] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit37] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit38] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit39] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit40] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit41] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit42] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit43] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit44] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit45] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit46] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit47] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit48] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit49] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit50] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit51] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit52] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit53] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit54] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit55] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit56] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit57] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit58] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit59] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit60] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit61] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit62] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit63] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit64] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit65] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit66] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit67] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit68] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit69] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit70] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit71] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit72] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit73] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit74] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit75] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit76] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit77] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit78] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit79] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit80] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit81] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit82] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit83] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit84] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit85] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit86] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit87] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit88] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit89] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit90] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit91] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit92] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit93] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit94] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit95] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit96] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit97] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit98] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit99] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit100] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit101] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit102] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit103] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit104] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit0] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit1] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit2] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit3] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit4] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit5] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit6] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit7] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit8] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit9] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit10] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit11] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit12] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit13] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit14] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit15] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit16] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit17] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit18] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit19] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit20] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit21] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit22] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit23] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit24] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit25] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit26] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit27] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit28] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit29] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit30] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit31] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit32] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit33] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit34] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit35] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit36] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit37] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit38] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit39] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit40] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit41] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit42] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit43] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit44] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit45] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit46] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit47] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit48] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit49] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit50] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit51] PASSED astropy/units/tests/test_format.py::test_fits_units_available PASSED astropy/units/tests/test_format.py::test_vo_units_available PASSED astropy/units/tests/test_format.py::test_cds_units_available PASSED astropy/units/tests/test_format.py::test_cds_non_ascii_unit PASSED astropy/units/tests/test_format.py::test_latex PASSED astropy/units/tests/test_format.py::test_new_style_latex PASSED astropy/units/tests/test_format.py::test_latex_scale PASSED astropy/units/tests/test_format.py::test_latex_inline_scale PASSED astropy/units/tests/test_format.py::test_format_styles[generic-erg / (cm2 s)] PASSED astropy/units/tests/test_format.py::test_format_styles[s-erg / (cm2 s)] PASSED astropy/units/tests/test_format.py::test_format_styles[console- erg ------ s cm^2] PASSED astropy/units/tests/test_format.py::test_format_styles[latex-$\mathrm{\frac{erg}{s\,cm^{2}}}$] PASSED astropy/units/tests/test_format.py::test_format_styles[latex_inline-$\mathrm{erg\,s^{-1}\,cm^{-2}}$] PASSED astropy/units/tests/test_format.py::test_format_styles[>20s- erg / (cm2 s)] PASSED astropy/units/tests/test_format.py::test_flatten_to_known PASSED astropy/units/tests/test_format.py::test_flatten_impossible PASSED astropy/units/tests/test_format.py::test_console_out PASSED astropy/units/tests/test_format.py::test_flexible_float PASSED astropy/units/tests/test_format.py::test_fraction_repr PASSED astropy/units/tests/test_format.py::test_scale_effectively_unity PASSED astropy/units/tests/test_format.py::test_percent PASSED astropy/units/tests/test_format.py::test_scaled_dimensionless PASSED astropy/units/tests/test_format.py::test_deprecated_did_you_mean_units PASSED astropy/units/tests/test_format.py::test_fits_function[mag(ct/s)] PASSED astropy/units/tests/test_format.py::test_fits_function[dB(mW)] PASSED astropy/units/tests/test_format.py::test_fits_function[dex(cm s**-2)] PASSED astropy/units/tests/test_format.py::test_vounit_function[mag(ct/s)] PASSED astropy/units/tests/test_format.py::test_vounit_function[dB(mW)] PASSED astropy/units/tests/test_format.py::test_vounit_function[dex(cm s**-2)] PASSED astropy/units/tests/test_format.py::test_vounit_binary_prefix PASSED astropy/units/tests/test_format.py::test_vounit_unknown PASSED astropy/units/tests/test_format.py::test_vounit_details PASSED astropy/units/tests/test_format.py::test_vounit_custom PASSED astropy/units/tests/test_format.py::test_vounit_implicit_custom PASSED astropy/units/tests/test_format.py::test_fits_scale_factor PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitCreation::test_logarithmic_units PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitCreation::test_callable_units[lu_unit0-DexUnit] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitCreation::test_callable_units[lu_unit1-MagUnit] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitCreation::test_callable_units[lu_unit2-DecibelUnit] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitCreation::test_equality_to_normal_unit_for_dimensionless[lu_unit0] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitCreation::test_equality_to_normal_unit_for_dimensionless[lu_unit1] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitCreation::test_equality_to_normal_unit_for_dimensionless[lu_unit2] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitCreation::test_call_units[lu_unit0-physical_unit0] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitCreation::test_call_units[lu_unit1-physical_unit1] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitCreation::test_call_units[lu_unit2-physical_unit2] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitCreation::test_call_units[lu_unit3-physical_unit3] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitCreation::test_call_units[lu_unit4-physical_unit4] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitCreation::test_call_units[lu_unit5-physical_unit5] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitCreation::test_call_units[lu_unit6-physical_unit6] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitCreation::test_call_units[lu_unit7-physical_unit7] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitCreation::test_call_units[lu_unit8-physical_unit8] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitCreation::test_call_units[lu_unit9-physical_unit9] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitCreation::test_call_units[lu_unit10-physical_unit10] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitCreation::test_call_units[lu_unit11-physical_unit11] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitCreation::test_call_invalid_unit PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitCreation::test_subclass_creation[DexUnit-physical_unit0] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitCreation::test_subclass_creation[DexUnit-physical_unit1] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitCreation::test_subclass_creation[DexUnit-physical_unit2] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitCreation::test_subclass_creation[DexUnit-physical_unit3] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitCreation::test_subclass_creation[MagUnit-physical_unit4] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitCreation::test_subclass_creation[MagUnit-physical_unit5] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitCreation::test_subclass_creation[MagUnit-physical_unit6] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitCreation::test_subclass_creation[MagUnit-physical_unit7] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitCreation::test_subclass_creation[DecibelUnit-physical_unit8] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitCreation::test_subclass_creation[DecibelUnit-physical_unit9] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitCreation::test_subclass_creation[DecibelUnit-physical_unit10] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitCreation::test_subclass_creation[DecibelUnit-physical_unit11] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitCreation::test_subclass_creation[LogUnit-physical_unit12] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitCreation::test_subclass_creation[LogUnit-physical_unit13] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitCreation::test_subclass_creation[LogUnit-physical_unit14] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitCreation::test_subclass_creation[LogUnit-physical_unit15] PASSED astropy/units/tests/test_logarithmic.py::test_predefined_magnitudes PASSED astropy/units/tests/test_logarithmic.py::test_predefined_reinitialisation PASSED astropy/units/tests/test_logarithmic.py::test_predefined_string_roundtrip PASSED astropy/units/tests/test_logarithmic.py::test_inequality PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitStrings::test_str PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_physical_unit_conversion[lu_unit0-physical_unit0] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_physical_unit_conversion[lu_unit1-physical_unit1] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_physical_unit_conversion[lu_unit2-physical_unit2] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_physical_unit_conversion[lu_unit3-physical_unit3] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_physical_unit_conversion[lu_unit4-physical_unit4] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_physical_unit_conversion[lu_unit5-physical_unit5] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_physical_unit_conversion[lu_unit6-physical_unit6] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_physical_unit_conversion[lu_unit7-physical_unit7] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_physical_unit_conversion[lu_unit8-physical_unit8] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_physical_unit_conversion[lu_unit9-physical_unit9] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_physical_unit_conversion[lu_unit10-physical_unit10] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_physical_unit_conversion[lu_unit11-physical_unit11] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_container_unit_conversion[lu_unit0] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_container_unit_conversion[lu_unit1] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_container_unit_conversion[lu_unit2] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_subclass_conversion[flu_unit0-tlu_unit0-physical_unit0] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_subclass_conversion[flu_unit1-tlu_unit1-physical_unit1] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_subclass_conversion[flu_unit2-tlu_unit2-physical_unit2] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_subclass_conversion[flu_unit3-tlu_unit3-physical_unit3] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_subclass_conversion[flu_unit4-tlu_unit4-physical_unit4] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_subclass_conversion[flu_unit5-tlu_unit5-physical_unit5] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_subclass_conversion[flu_unit6-tlu_unit6-physical_unit6] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_subclass_conversion[flu_unit7-tlu_unit7-physical_unit7] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_subclass_conversion[flu_unit8-tlu_unit8-physical_unit8] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_subclass_conversion[flu_unit9-tlu_unit9-physical_unit9] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_subclass_conversion[flu_unit10-tlu_unit10-physical_unit10] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_subclass_conversion[flu_unit11-tlu_unit11-physical_unit11] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_subclass_conversion[flu_unit12-tlu_unit12-physical_unit12] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_subclass_conversion[flu_unit13-tlu_unit13-physical_unit13] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_subclass_conversion[flu_unit14-tlu_unit14-physical_unit14] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_subclass_conversion[flu_unit15-tlu_unit15-physical_unit15] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_subclass_conversion[flu_unit16-tlu_unit16-physical_unit16] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_subclass_conversion[flu_unit17-tlu_unit17-physical_unit17] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_subclass_conversion[flu_unit18-tlu_unit18-physical_unit18] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_subclass_conversion[flu_unit19-tlu_unit19-physical_unit19] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_subclass_conversion[flu_unit20-tlu_unit20-physical_unit20] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_subclass_conversion[flu_unit21-tlu_unit21-physical_unit21] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_subclass_conversion[flu_unit22-tlu_unit22-physical_unit22] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_subclass_conversion[flu_unit23-tlu_unit23-physical_unit23] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_subclass_conversion[flu_unit24-tlu_unit24-physical_unit24] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_subclass_conversion[flu_unit25-tlu_unit25-physical_unit25] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_subclass_conversion[flu_unit26-tlu_unit26-physical_unit26] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_subclass_conversion[flu_unit27-tlu_unit27-physical_unit27] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_subclass_conversion[flu_unit28-tlu_unit28-physical_unit28] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_subclass_conversion[flu_unit29-tlu_unit29-physical_unit29] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_subclass_conversion[flu_unit30-tlu_unit30-physical_unit30] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_subclass_conversion[flu_unit31-tlu_unit31-physical_unit31] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_subclass_conversion[flu_unit32-tlu_unit32-physical_unit32] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_subclass_conversion[flu_unit33-tlu_unit33-physical_unit33] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_subclass_conversion[flu_unit34-tlu_unit34-physical_unit34] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_subclass_conversion[flu_unit35-tlu_unit35-physical_unit35] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_unit_decomposition PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_unit_multiple_possible_equivalencies PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitArithmetic::test_multiplication_division PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitArithmetic::test_raise_to_power[2] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitArithmetic::test_raise_to_power[0.5] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitArithmetic::test_raise_to_power[1] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitArithmetic::test_raise_to_power[0] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitArithmetic::test_addition_subtraction_to_normal_units_fails[other0] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitArithmetic::test_addition_subtraction_to_normal_units_fails[other1] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitArithmetic::test_addition_subtraction_to_normal_units_fails[other2] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitArithmetic::test_addition_subtraction_to_normal_units_fails[other3] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitArithmetic::test_addition_subtraction_to_non_units_fails PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitArithmetic::test_addition_subtraction[other0] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitArithmetic::test_addition_subtraction[other1] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitArithmetic::test_addition_subtraction[other2] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitArithmetic::test_addition_subtraction[other3] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitArithmetic::test_addition_subtraction[other4] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitArithmetic::test_addition_subtraction[other5] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitArithmetic::test_complicated_addition_subtraction PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitArithmetic::test_neg_pos PASSED astropy/units/tests/test_logarithmic.py::test_pickle PASSED astropy/units/tests/test_logarithmic.py::test_hashable PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityCreation::test_logarithmic_quantities[Dex-DexUnit] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityCreation::test_logarithmic_quantities[Magnitude-MagUnit] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityCreation::test_logarithmic_quantities[Decibel-DecibelUnit] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityCreation::test_logarithmic_quantities[LogQuantity-LogUnit] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityCreation::test_subclass_creation[Dex-physical_unit0] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityCreation::test_subclass_creation[Dex-physical_unit1] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityCreation::test_subclass_creation[Dex-physical_unit2] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityCreation::test_subclass_creation[Dex-physical_unit3] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityCreation::test_subclass_creation[Magnitude-physical_unit4] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityCreation::test_subclass_creation[Magnitude-physical_unit5] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityCreation::test_subclass_creation[Magnitude-physical_unit6] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityCreation::test_subclass_creation[Magnitude-physical_unit7] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityCreation::test_subclass_creation[Decibel-physical_unit8] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityCreation::test_subclass_creation[Decibel-physical_unit9] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityCreation::test_subclass_creation[Decibel-physical_unit10] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityCreation::test_subclass_creation[Decibel-physical_unit11] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityCreation::test_different_units[unit0] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityCreation::test_different_units[unit1] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityCreation::test_different_units[unit2] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityCreation::test_different_units[unit3] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityCreation::test_different_units[unit4] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityCreation::test_different_units[unit5] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityCreation::test_different_units[unit6] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityCreation::test_different_units[unit7] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityCreation::test_function_values[value0-None] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityCreation::test_function_values[value1-None] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityCreation::test_function_values[value2-unit2] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityCreation::test_function_values[value3-unit3] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityCreation::test_indirect_creation[unit0] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityCreation::test_indirect_creation[unit1] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityCreation::test_indirect_creation[unit2] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityCreation::test_indirect_creation[unit3] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityCreation::test_indirect_creation[unit4] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityCreation::test_indirect_creation[unit5] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityCreation::test_from_view PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityCreation::test_using_quantity_class PASSED astropy/units/tests/test_logarithmic.py::test_conversion_to_and_from_physical_quantities PASSED astropy/units/tests/test_logarithmic.py::test_quantity_decomposition PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityViews::test_value_view PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityViews::test_function_view PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityViews::test_quantity_view PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantitySlicing::test_item_get_and_set PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantitySlicing::test_slice_get_and_set PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityArithmetic::test_multiplication_division PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityArithmetic::test_raise_to_power[2] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityArithmetic::test_raise_to_power[0.5] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityArithmetic::test_raise_to_power[1] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityArithmetic::test_raise_to_power[0] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityArithmetic::test_error_on_lq_as_power PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityArithmetic::test_addition_subtraction_to_normal_units_fails[other0] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityArithmetic::test_addition_subtraction_to_normal_units_fails[other1] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityArithmetic::test_addition_subtraction_to_normal_units_fails[other2] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityArithmetic::test_addition_subtraction_to_normal_units_fails[other3] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityArithmetic::test_addition_subtraction[other0] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityArithmetic::test_addition_subtraction[other1] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityArithmetic::test_addition_subtraction[other2] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityArithmetic::test_addition_subtraction[other3] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityArithmetic::test_addition_subtraction[other4] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityArithmetic::test_addition_subtraction[other5] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityArithmetic::test_inplace_addition_subtraction_unit_checks[other0] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityArithmetic::test_inplace_addition_subtraction_unit_checks[other1] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityArithmetic::test_inplace_addition_subtraction_unit_checks[other2] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityArithmetic::test_inplace_addition_subtraction_unit_checks[other3] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityArithmetic::test_inplace_addition_subtraction[other0] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityArithmetic::test_inplace_addition_subtraction[other1] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityArithmetic::test_inplace_addition_subtraction[other2] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityArithmetic::test_inplace_addition_subtraction[other3] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityArithmetic::test_inplace_addition_subtraction[other4] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityArithmetic::test_inplace_addition_subtraction[other5] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityArithmetic::test_complicated_addition_subtraction PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityComparisons::test_comparison_to_non_quantities_fails PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityComparisons::test_comparison PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityMethods::test_always_ok[mean] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityMethods::test_always_ok[min] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityMethods::test_always_ok[max] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityMethods::test_always_ok[round] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityMethods::test_always_ok[trace] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityMethods::test_always_ok[std] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityMethods::test_always_ok[var] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityMethods::test_always_ok[ptp] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityMethods::test_always_ok[diff] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityMethods::test_always_ok[ediff1d] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityMethods::test_clip PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityMethods::test_only_ok_if_dimensionless[sum] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityMethods::test_only_ok_if_dimensionless[cumsum] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityMethods::test_only_ok_if_dimensionless[nansum] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityMethods::test_dot PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityMethods::test_never_ok[prod] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityMethods::test_never_ok[cumprod] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityUfuncs::test_power PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityUfuncs::test_not_implemented_with_physical_unit PASSED astropy/units/tests/test_physical.py::test_redundant_physical_type <- lib.linux-x86_64-2.7/astropy/tests/helper.py PASSED astropy/units/tests/test_physical.py::test_simple PASSED astropy/units/tests/test_physical.py::test_power PASSED astropy/units/tests/test_physical.py::test_speed PASSED astropy/units/tests/test_physical.py::test_unknown PASSED astropy/units/tests/test_physical.py::test_dimensionless PASSED astropy/units/tests/test_physical.py::test_angular_momentum PASSED astropy/units/tests/test_physical.py::test_flam PASSED astropy/units/tests/test_physical.py::test_photlam PASSED astropy/units/tests/test_physical.py::test_photnu PASSED astropy/units/tests/test_physical.py::test_data_quantity PASSED astropy/units/tests/test_physical.py::test_redundant_physical_type <- lib.linux-x86_64-2.7/astropy/tests/helper.py PASSED astropy/units/tests/test_physical.py::test_simple PASSED astropy/units/tests/test_physical.py::test_power PASSED astropy/units/tests/test_physical.py::test_speed PASSED astropy/units/tests/test_physical.py::test_unknown PASSED astropy/units/tests/test_physical.py::test_dimensionless PASSED astropy/units/tests/test_physical.py::test_angular_momentum PASSED astropy/units/tests/test_physical.py::test_flam PASSED astropy/units/tests/test_physical.py::test_photlam PASSED astropy/units/tests/test_physical.py::test_photnu PASSED astropy/units/tests/test_physical.py::test_data_quantity PASSED astropy/units/tests/test_quantity.py::test_quantity_invalid_unit_string <- lib.linux-x86_64-2.7/astropy/tests/helper.py PASSED astropy/units/tests/test_quantity.py::test_quantity_tuple_power <- lib.linux-x86_64-2.7/astropy/tests/helper.py PASSED astropy/units/tests/test_quantity.py::TestQuantityCreation::test_1 PASSED astropy/units/tests/test_quantity.py::TestQuantityCreation::test_2 PASSED astropy/units/tests/test_quantity.py::TestQuantityCreation::test_3 PASSED astropy/units/tests/test_quantity.py::TestQuantityCreation::test_nan_inf PASSED astropy/units/tests/test_quantity.py::TestQuantityCreation::test_unit_property PASSED astropy/units/tests/test_quantity.py::TestQuantityCreation::test_preserve_dtype PASSED astropy/units/tests/test_quantity.py::TestQuantityCreation::test_copy PASSED astropy/units/tests/test_quantity.py::TestQuantityCreation::test_subok PASSED astropy/units/tests/test_quantity.py::TestQuantityCreation::test_order PASSED astropy/units/tests/test_quantity.py::TestQuantityCreation::test_ndmin PASSED astropy/units/tests/test_quantity.py::TestQuantityCreation::test_non_quantity_with_unit PASSED astropy/units/tests/test_quantity.py::TestQuantityOperations::test_addition PASSED astropy/units/tests/test_quantity.py::TestQuantityOperations::test_subtraction PASSED astropy/units/tests/test_quantity.py::TestQuantityOperations::test_multiplication PASSED astropy/units/tests/test_quantity.py::TestQuantityOperations::test_division PASSED astropy/units/tests/test_quantity.py::TestQuantityOperations::test_commutativity PASSED astropy/units/tests/test_quantity.py::TestQuantityOperations::test_power PASSED astropy/units/tests/test_quantity.py::TestQuantityOperations::test_matrix_multiplication SKIPPED astropy/units/tests/test_quantity.py::TestQuantityOperations::test_unary PASSED astropy/units/tests/test_quantity.py::TestQuantityOperations::test_abs PASSED astropy/units/tests/test_quantity.py::TestQuantityOperations::test_incompatible_units PASSED astropy/units/tests/test_quantity.py::TestQuantityOperations::test_non_number_type PASSED astropy/units/tests/test_quantity.py::TestQuantityOperations::test_dimensionless_operations PASSED astropy/units/tests/test_quantity.py::TestQuantityOperations::test_complicated_operation PASSED astropy/units/tests/test_quantity.py::TestQuantityOperations::test_comparison PASSED astropy/units/tests/test_quantity.py::TestQuantityOperations::test_numeric_converters PASSED astropy/units/tests/test_quantity.py::TestQuantityOperations::test_numeric_converter_to_index_in_practice xfail astropy/units/tests/test_quantity.py::TestQuantityOperations::test_array_converters PASSED astropy/units/tests/test_quantity.py::test_quantity_conversion PASSED astropy/units/tests/test_quantity.py::test_quantity_value_views PASSED astropy/units/tests/test_quantity.py::test_quantity_conversion_with_equiv PASSED astropy/units/tests/test_quantity.py::test_quantity_conversion_equivalency_passed_on PASSED astropy/units/tests/test_quantity.py::test_self_equivalency PASSED astropy/units/tests/test_quantity.py::test_si PASSED astropy/units/tests/test_quantity.py::test_cgs PASSED astropy/units/tests/test_quantity.py::TestQuantityComparison::test_quantity_equality PASSED astropy/units/tests/test_quantity.py::TestQuantityComparison::test_quantity_comparison PASSED astropy/units/tests/test_quantity.py::TestQuantityDisplay::test_dimensionless_quantity_repr PASSED astropy/units/tests/test_quantity.py::TestQuantityDisplay::test_dimensionless_quantity_str PASSED astropy/units/tests/test_quantity.py::TestQuantityDisplay::test_dimensionless_quantity_format PASSED astropy/units/tests/test_quantity.py::TestQuantityDisplay::test_scalar_quantity_str PASSED astropy/units/tests/test_quantity.py::TestQuantityDisplay::test_scalar_quantity_repr PASSED astropy/units/tests/test_quantity.py::TestQuantityDisplay::test_array_quantity_str PASSED astropy/units/tests/test_quantity.py::TestQuantityDisplay::test_array_quantity_repr PASSED astropy/units/tests/test_quantity.py::TestQuantityDisplay::test_scalar_quantity_format PASSED astropy/units/tests/test_quantity.py::TestQuantityDisplay::test_uninitialized_unit_format PASSED astropy/units/tests/test_quantity.py::TestQuantityDisplay::test_repr_latex PASSED astropy/units/tests/test_quantity.py::test_decompose PASSED astropy/units/tests/test_quantity.py::test_decompose_regression PASSED astropy/units/tests/test_quantity.py::test_arrays PASSED astropy/units/tests/test_quantity.py::test_array_indexing_slicing PASSED astropy/units/tests/test_quantity.py::test_array_setslice PASSED astropy/units/tests/test_quantity.py::test_inverse_quantity PASSED astropy/units/tests/test_quantity.py::test_quantity_mutability PASSED astropy/units/tests/test_quantity.py::test_quantity_initialized_with_quantity PASSED astropy/units/tests/test_quantity.py::test_quantity_string_unit PASSED astropy/units/tests/test_quantity.py::test_implicit_conversion PASSED astropy/units/tests/test_quantity.py::test_implicit_conversion_autocomplete PASSED astropy/units/tests/test_quantity.py::test_quantity_iterability PASSED astropy/units/tests/test_quantity.py::test_copy PASSED astropy/units/tests/test_quantity.py::test_deepcopy PASSED astropy/units/tests/test_quantity.py::test_equality_numpy_scalar PASSED astropy/units/tests/test_quantity.py::test_quantity_pickelability PASSED astropy/units/tests/test_quantity.py::test_quantity_initialisation_from_string PASSED astropy/units/tests/test_quantity.py::test_unsupported PASSED astropy/units/tests/test_quantity.py::test_unit_identity PASSED astropy/units/tests/test_quantity.py::test_quantity_to_view PASSED astropy/units/tests/test_quantity.py::test_quantity_fraction_power PASSED astropy/units/tests/test_quantity.py::test_inherit_docstrings PASSED astropy/units/tests/test_quantity.py::test_quantity_from_table PASSED astropy/units/tests/test_quantity.py::test_insert PASSED astropy/units/tests/test_quantity.py::test_repr_array_of_quantity PASSED astropy/units/tests/test_quantity.py::TestSpecificTypeQuantity::test_creation PASSED astropy/units/tests/test_quantity.py::TestSpecificTypeQuantity::test_view PASSED astropy/units/tests/test_quantity.py::TestSpecificTypeQuantity::test_operation_precedence_and_fallback PASSED astropy/units/tests/test_quantity.py::TestQuantityMatplotlib::test_plot PASSED astropy/units/tests/test_quantity.py::TestQuantityMatplotlib::test_scatter PASSED astropy/units/tests/test_quantity.py::test_unit_class_override PASSED astropy/units/tests/test_quantity_array_methods.py::TestQuantityArrayCopy::test_copy_on_creation PASSED astropy/units/tests/test_quantity_array_methods.py::TestQuantityArrayCopy::test_to_copies PASSED astropy/units/tests/test_quantity_array_methods.py::TestQuantityArrayCopy::test_si_copies PASSED astropy/units/tests/test_quantity_array_methods.py::TestQuantityArrayCopy::test_getitem_is_view PASSED astropy/units/tests/test_quantity_array_methods.py::TestQuantityArrayCopy::test_flat PASSED astropy/units/tests/test_quantity_array_methods.py::TestQuantityReshapeFuncs::test_reshape PASSED astropy/units/tests/test_quantity_array_methods.py::TestQuantityReshapeFuncs::test_squeeze PASSED astropy/units/tests/test_quantity_array_methods.py::TestQuantityReshapeFuncs::test_ravel PASSED astropy/units/tests/test_quantity_array_methods.py::TestQuantityReshapeFuncs::test_flatten PASSED astropy/units/tests/test_quantity_array_methods.py::TestQuantityReshapeFuncs::test_transpose PASSED astropy/units/tests/test_quantity_array_methods.py::TestQuantityReshapeFuncs::test_swapaxes PASSED astropy/units/tests/test_quantity_array_methods.py::TestQuantityStatsFuncs::test_mean PASSED astropy/units/tests/test_quantity_array_methods.py::TestQuantityStatsFuncs::test_mean_inplace PASSED astropy/units/tests/test_quantity_array_methods.py::TestQuantityStatsFuncs::test_std PASSED astropy/units/tests/test_quantity_array_methods.py::TestQuantityStatsFuncs::test_std_inplace PASSED astropy/units/tests/test_quantity_array_methods.py::TestQuantityStatsFuncs::test_var PASSED astropy/units/tests/test_quantity_array_methods.py::TestQuantityStatsFuncs::test_var_inplace PASSED astropy/units/tests/test_quantity_array_methods.py::TestQuantityStatsFuncs::test_median PASSED astropy/units/tests/test_quantity_array_methods.py::TestQuantityStatsFuncs::test_median_inplace PASSED astropy/units/tests/test_quantity_array_methods.py::TestQuantityStatsFuncs::test_min PASSED astropy/units/tests/test_quantity_array_methods.py::TestQuantityStatsFuncs::test_min_inplace PASSED astropy/units/tests/test_quantity_array_methods.py::TestQuantityStatsFuncs::test_argmin PASSED astropy/units/tests/test_quantity_array_methods.py::TestQuantityStatsFuncs::test_max PASSED astropy/units/tests/test_quantity_array_methods.py::TestQuantityStatsFuncs::test_max_inplace PASSED astropy/units/tests/test_quantity_array_methods.py::TestQuantityStatsFuncs::test_argmax PASSED astropy/units/tests/test_quantity_array_methods.py::TestQuantityStatsFuncs::test_clip PASSED astropy/units/tests/test_quantity_array_methods.py::TestQuantityStatsFuncs::test_clip_inplace PASSED astropy/units/tests/test_quantity_array_methods.py::TestQuantityStatsFuncs::test_conj PASSED astropy/units/tests/test_quantity_array_methods.py::TestQuantityStatsFuncs::test_ptp PASSED astropy/units/tests/test_quantity_array_methods.py::TestQuantityStatsFuncs::test_ptp_inplace PASSED astropy/units/tests/test_quantity_array_methods.py::TestQuantityStatsFuncs::test_round PASSED astropy/units/tests/test_quantity_array_methods.py::TestQuantityStatsFuncs::test_round_inplace PASSED astropy/units/tests/test_quantity_array_methods.py::TestQuantityStatsFuncs::test_sum PASSED astropy/units/tests/test_quantity_array_methods.py::TestQuantityStatsFuncs::test_sum_inplace PASSED astropy/units/tests/test_quantity_array_methods.py::TestQuantityStatsFuncs::test_cumsum PASSED astropy/units/tests/test_quantity_array_methods.py::TestQuantityStatsFuncs::test_cumsum_inplace PASSED astropy/units/tests/test_quantity_array_methods.py::TestQuantityStatsFuncs::test_nansum PASSED astropy/units/tests/test_quantity_array_methods.py::TestQuantityStatsFuncs::test_nansum_inplace PASSED astropy/units/tests/test_quantity_array_methods.py::TestQuantityStatsFuncs::test_prod PASSED astropy/units/tests/test_quantity_array_methods.py::TestQuantityStatsFuncs::test_cumprod PASSED astropy/units/tests/test_quantity_array_methods.py::TestQuantityStatsFuncs::test_diff PASSED astropy/units/tests/test_quantity_array_methods.py::TestQuantityStatsFuncs::test_ediff1d PASSED astropy/units/tests/test_quantity_array_methods.py::TestQuantityStatsFuncs::test_dot_func xfail astropy/units/tests/test_quantity_array_methods.py::TestQuantityStatsFuncs::test_dot_meth PASSED astropy/units/tests/test_quantity_array_methods.py::TestQuantityStatsFuncs::test_trace_func PASSED astropy/units/tests/test_quantity_array_methods.py::TestQuantityStatsFuncs::test_trace_meth PASSED astropy/units/tests/test_quantity_array_methods.py::TestQuantityStatsFuncs::test_clip_func PASSED astropy/units/tests/test_quantity_array_methods.py::TestQuantityStatsFuncs::test_clip_meth PASSED astropy/units/tests/test_quantity_array_methods.py::TestArrayConversion::test_item PASSED astropy/units/tests/test_quantity_array_methods.py::TestArrayConversion::test_slice PASSED astropy/units/tests/test_quantity_array_methods.py::TestArrayConversion::test_fill PASSED astropy/units/tests/test_quantity_array_methods.py::TestArrayConversion::test_repeat_compress_diagonal PASSED astropy/units/tests/test_quantity_array_methods.py::TestArrayConversion::test_view PASSED astropy/units/tests/test_quantity_array_methods.py::TestArrayConversion::test_slice_to_quantity PASSED astropy/units/tests/test_quantity_array_methods.py::TestArrayConversion::test_byte_type_view_field_changes PASSED astropy/units/tests/test_quantity_array_methods.py::TestArrayConversion::test_sort PASSED astropy/units/tests/test_quantity_array_methods.py::TestArrayConversion::test_not_implemented PASSED astropy/units/tests/test_quantity_array_methods.py::TestRecArray::test_creation PASSED astropy/units/tests/test_quantity_array_methods.py::TestRecArray::test_equality PASSED astropy/units/tests/test_quantity_decorator.py::test_args3[u.arcsec-u.arcsec] <- lib.linux-x86_64-2.7/astropy/units/tests/py3_test_quantity_annotations.py SKIPPED astropy/units/tests/test_quantity_decorator.py::test_args3['angle'-'angle'] <- lib.linux-x86_64-2.7/astropy/units/tests/py3_test_quantity_annotations.py SKIPPED astropy/units/tests/test_quantity_decorator.py::test_args_noconvert3[u.arcsec-u.arcsec] <- lib.linux-x86_64-2.7/astropy/units/tests/py3_test_quantity_annotations.py SKIPPED astropy/units/tests/test_quantity_decorator.py::test_args_noconvert3['angle'-'angle'] <- lib.linux-x86_64-2.7/astropy/units/tests/py3_test_quantity_annotations.py SKIPPED astropy/units/tests/test_quantity_decorator.py::test_args_nonquantity3[u.arcsec] <- lib.linux-x86_64-2.7/astropy/units/tests/py3_test_quantity_annotations.py SKIPPED astropy/units/tests/test_quantity_decorator.py::test_args_nonquantity3['angle'] <- lib.linux-x86_64-2.7/astropy/units/tests/py3_test_quantity_annotations.py SKIPPED astropy/units/tests/test_quantity_decorator.py::test_arg_equivalencies3[u.arcsec-u.eV] <- lib.linux-x86_64-2.7/astropy/units/tests/py3_test_quantity_annotations.py SKIPPED astropy/units/tests/test_quantity_decorator.py::test_arg_equivalencies3['angle'-'energy'] <- lib.linux-x86_64-2.7/astropy/units/tests/py3_test_quantity_annotations.py SKIPPED astropy/units/tests/test_quantity_decorator.py::test_wrong_unit3[u.arcsec-u.deg] <- lib.linux-x86_64-2.7/astropy/units/tests/py3_test_quantity_annotations.py SKIPPED astropy/units/tests/test_quantity_decorator.py::test_wrong_unit3['angle'-'angle'] <- lib.linux-x86_64-2.7/astropy/units/tests/py3_test_quantity_annotations.py SKIPPED astropy/units/tests/test_quantity_decorator.py::test_not_quantity3[u.arcsec-u.deg] <- lib.linux-x86_64-2.7/astropy/units/tests/py3_test_quantity_annotations.py SKIPPED astropy/units/tests/test_quantity_decorator.py::test_not_quantity3['angle'-'angle'] <- lib.linux-x86_64-2.7/astropy/units/tests/py3_test_quantity_annotations.py SKIPPED astropy/units/tests/test_quantity_decorator.py::test_decorator_override <- lib.linux-x86_64-2.7/astropy/units/tests/py3_test_quantity_annotations.py SKIPPED astropy/units/tests/test_quantity_decorator.py::test_kwargs3[u.arcsec-u.deg] <- lib.linux-x86_64-2.7/astropy/units/tests/py3_test_quantity_annotations.py SKIPPED astropy/units/tests/test_quantity_decorator.py::test_kwargs3['angle'-'angle'] <- lib.linux-x86_64-2.7/astropy/units/tests/py3_test_quantity_annotations.py SKIPPED astropy/units/tests/test_quantity_decorator.py::test_unused_kwargs3[u.arcsec-u.deg] <- lib.linux-x86_64-2.7/astropy/units/tests/py3_test_quantity_annotations.py SKIPPED astropy/units/tests/test_quantity_decorator.py::test_unused_kwargs3['angle'-'angle'] <- lib.linux-x86_64-2.7/astropy/units/tests/py3_test_quantity_annotations.py SKIPPED astropy/units/tests/test_quantity_decorator.py::test_kwarg_equivalencies3[u.arcsec-u.eV] <- lib.linux-x86_64-2.7/astropy/units/tests/py3_test_quantity_annotations.py SKIPPED astropy/units/tests/test_quantity_decorator.py::test_kwarg_equivalencies3['angle'-'energy'] <- lib.linux-x86_64-2.7/astropy/units/tests/py3_test_quantity_annotations.py SKIPPED astropy/units/tests/test_quantity_decorator.py::test_kwarg_wrong_unit3[u.arcsec-u.deg] <- lib.linux-x86_64-2.7/astropy/units/tests/py3_test_quantity_annotations.py SKIPPED astropy/units/tests/test_quantity_decorator.py::test_kwarg_wrong_unit3['angle'-'angle'] <- lib.linux-x86_64-2.7/astropy/units/tests/py3_test_quantity_annotations.py SKIPPED astropy/units/tests/test_quantity_decorator.py::test_kwarg_not_quantity3[u.arcsec-u.deg] <- lib.linux-x86_64-2.7/astropy/units/tests/py3_test_quantity_annotations.py SKIPPED astropy/units/tests/test_quantity_decorator.py::test_kwarg_not_quantity3['angle'-'angle'] <- lib.linux-x86_64-2.7/astropy/units/tests/py3_test_quantity_annotations.py SKIPPED astropy/units/tests/test_quantity_decorator.py::test_kwarg_default3[u.arcsec-u.deg] <- lib.linux-x86_64-2.7/astropy/units/tests/py3_test_quantity_annotations.py SKIPPED astropy/units/tests/test_quantity_decorator.py::test_kwarg_default3['angle'-'angle'] <- lib.linux-x86_64-2.7/astropy/units/tests/py3_test_quantity_annotations.py SKIPPED astropy/units/tests/test_quantity_decorator.py::test_return_annotation <- lib.linux-x86_64-2.7/astropy/units/tests/py3_test_quantity_annotations.py SKIPPED astropy/units/tests/test_quantity_decorator.py::test_args[0-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_wrong_unit[0-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_not_quantity[0-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs[0-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_unused_kwargs[0-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_wrong_unit[0-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_not_quantity[0-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_default[0-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs_input[0-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_args[0-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_wrong_unit[0-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_not_quantity[0-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs[0-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_unused_kwargs[0-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_wrong_unit[0-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_not_quantity[0-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_default[0-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs_input[0-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_args[1-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_wrong_unit[1-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_not_quantity[1-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs[1-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_unused_kwargs[1-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_wrong_unit[1-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_not_quantity[1-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_default[1-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs_input[1-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_args[1-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_wrong_unit[1-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_not_quantity[1-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs[1-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_unused_kwargs[1-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_wrong_unit[1-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_not_quantity[1-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_default[1-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs_input[1-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_args[1-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_wrong_unit[1-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_not_quantity[1-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs[1-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_unused_kwargs[1-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_wrong_unit[1-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_not_quantity[1-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_default[1-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs_input[1-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_args[0-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_wrong_unit[0-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_not_quantity[0-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs[0-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_unused_kwargs[0-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_wrong_unit[0-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_not_quantity[0-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_default[0-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs_input[0-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_args[2-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_wrong_unit[2-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_not_quantity[2-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs[2-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_unused_kwargs[2-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_wrong_unit[2-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_not_quantity[2-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_default[2-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs_input[2-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_args[2-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_wrong_unit[2-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_not_quantity[2-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs[2-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_unused_kwargs[2-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_wrong_unit[2-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_not_quantity[2-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_default[2-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs_input[2-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_args[2-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_wrong_unit[2-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_not_quantity[2-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs[2-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_unused_kwargs[2-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_wrong_unit[2-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_not_quantity[2-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_default[2-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs_input[2-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_args[2-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_wrong_unit[2-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_not_quantity[2-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs[2-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_unused_kwargs[2-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_wrong_unit[2-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_not_quantity[2-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_default[2-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs_input[2-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_args[1-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_wrong_unit[1-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_not_quantity[1-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs[1-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_unused_kwargs[1-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_wrong_unit[1-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_not_quantity[1-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_default[1-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs_input[1-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_args[0-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_wrong_unit[0-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_not_quantity[0-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs[0-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_unused_kwargs[0-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_wrong_unit[0-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_not_quantity[0-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_default[0-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs_input[0-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_args[3-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_wrong_unit[3-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_not_quantity[3-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs[3-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_unused_kwargs[3-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_wrong_unit[3-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_not_quantity[3-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_default[3-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs_input[3-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_args[3-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_wrong_unit[3-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_not_quantity[3-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs[3-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_unused_kwargs[3-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_wrong_unit[3-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_not_quantity[3-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_default[3-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs_input[3-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_args[3-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_wrong_unit[3-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_not_quantity[3-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs[3-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_unused_kwargs[3-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_wrong_unit[3-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_not_quantity[3-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_default[3-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs_input[3-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_args[3-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_wrong_unit[3-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_not_quantity[3-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs[3-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_unused_kwargs[3-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_wrong_unit[3-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_not_quantity[3-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_default[3-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs_input[3-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_args_nonquantity[3] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs_extra[3] PASSED astropy/units/tests/test_quantity_decorator.py::test_args[4-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_wrong_unit[4-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_not_quantity[4-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs[4-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_unused_kwargs[4-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_wrong_unit[4-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_not_quantity[4-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_default[4-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs_input[4-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_args[4-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_wrong_unit[4-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_not_quantity[4-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs[4-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_unused_kwargs[4-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_wrong_unit[4-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_not_quantity[4-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_default[4-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs_input[4-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_args[4-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_wrong_unit[4-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_not_quantity[4-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs[4-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_unused_kwargs[4-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_wrong_unit[4-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_not_quantity[4-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_default[4-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs_input[4-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_args[4-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_wrong_unit[4-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_not_quantity[4-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs[4-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_unused_kwargs[4-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_wrong_unit[4-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_not_quantity[4-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_default[4-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs_input[4-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_args_nonquantity[4] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs_extra[4] PASSED astropy/units/tests/test_quantity_decorator.py::test_args[5-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_wrong_unit[5-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_not_quantity[5-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs[5-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_unused_kwargs[5-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_wrong_unit[5-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_not_quantity[5-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_default[5-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs_input[5-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_args[5-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_wrong_unit[5-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_not_quantity[5-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs[5-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_unused_kwargs[5-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_wrong_unit[5-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_not_quantity[5-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_default[5-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs_input[5-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_args[5-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_wrong_unit[5-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_not_quantity[5-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs[5-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_unused_kwargs[5-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_wrong_unit[5-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_not_quantity[5-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_default[5-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs_input[5-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_args[5-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_wrong_unit[5-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_not_quantity[5-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs[5-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_unused_kwargs[5-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_wrong_unit[5-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_not_quantity[5-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_default[5-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs_input[5-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_args_nonquantity[5] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs_extra[5] PASSED astropy/units/tests/test_quantity_decorator.py::test_args[6-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_wrong_unit[6-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_not_quantity[6-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs[6-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_unused_kwargs[6-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_wrong_unit[6-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_not_quantity[6-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_default[6-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs_input[6-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_args[6-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_wrong_unit[6-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_not_quantity[6-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs[6-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_unused_kwargs[6-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_wrong_unit[6-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_not_quantity[6-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_default[6-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs_input[6-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_args[6-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_wrong_unit[6-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_not_quantity[6-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs[6-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_unused_kwargs[6-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_wrong_unit[6-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_not_quantity[6-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_default[6-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs_input[6-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_args[6-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_wrong_unit[6-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_not_quantity[6-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs[6-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_unused_kwargs[6-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_wrong_unit[6-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_not_quantity[6-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_default[6-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs_input[6-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_args_nonquantity[6] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs_extra[6] PASSED astropy/units/tests/test_quantity_decorator.py::test_args[7-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_wrong_unit[7-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_not_quantity[7-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs[7-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_unused_kwargs[7-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_wrong_unit[7-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_not_quantity[7-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_default[7-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs_input[7-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_args[7-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_wrong_unit[7-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_not_quantity[7-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs[7-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_unused_kwargs[7-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_wrong_unit[7-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_not_quantity[7-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_default[7-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs_input[7-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_args[7-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_wrong_unit[7-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_not_quantity[7-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs[7-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_unused_kwargs[7-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_wrong_unit[7-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_not_quantity[7-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_default[7-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs_input[7-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_args[7-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_wrong_unit[7-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_not_quantity[7-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs[7-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_unused_kwargs[7-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_wrong_unit[7-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_not_quantity[7-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_default[7-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs_input[7-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_args_nonquantity[7] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs_extra[7] PASSED astropy/units/tests/test_quantity_decorator.py::test_args_nonquantity[2] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs_extra[2] PASSED astropy/units/tests/test_quantity_decorator.py::test_args_nonquantity[1] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs_extra[1] PASSED astropy/units/tests/test_quantity_decorator.py::test_args_nonquantity[0] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs_extra[0] PASSED astropy/units/tests/test_quantity_decorator.py::test_arg_equivalencies[x_unit0-y_unit0] PASSED astropy/units/tests/test_quantity_decorator.py::test_arg_equivalencies[angle-energy] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_equivalencies[x_unit0-energy_unit0] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_equivalencies[angle-energy] PASSED astropy/units/tests/test_quantity_decorator.py::test_no_equivalent PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_invalid_physical_type PASSED astropy/units/tests/test_quantity_decorator.py::test_default_value_check PASSED astropy/units/tests/test_quantity_decorator.py::test_args_None PASSED astropy/units/tests/test_quantity_decorator.py::test_args_None_kwarg PASSED astropy/units/tests/test_quantity_non_ufuncs.py::TestQuantityLinAlgFuncs::test_outer xfail astropy/units/tests/test_quantity_non_ufuncs.py::TestQuantityLinAlgFuncs::test_inner xfail astropy/units/tests/test_quantity_non_ufuncs.py::TestQuantityLinAlgFuncs::test_dot xfail astropy/units/tests/test_quantity_non_ufuncs.py::TestQuantityLinAlgFuncs::test_matmul xfail astropy/units/tests/test_quantity_ufuncs.py::TestUfuncCoverage::test_coverage PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityTrigonometricFuncs::test_sin_scalar PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityTrigonometricFuncs::test_sin_array PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityTrigonometricFuncs::test_arcsin_scalar PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityTrigonometricFuncs::test_arcsin_array PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityTrigonometricFuncs::test_sin_invalid_units PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityTrigonometricFuncs::test_arcsin_invalid_units PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityTrigonometricFuncs::test_arcsin_no_warning_on_unscaled_quantity PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityTrigonometricFuncs::test_cos_scalar PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityTrigonometricFuncs::test_cos_array PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityTrigonometricFuncs::test_arccos_scalar PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityTrigonometricFuncs::test_arccos_array PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityTrigonometricFuncs::test_cos_invalid_units PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityTrigonometricFuncs::test_arccos_invalid_units PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityTrigonometricFuncs::test_tan_scalar PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityTrigonometricFuncs::test_tan_array PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityTrigonometricFuncs::test_arctan_scalar PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityTrigonometricFuncs::test_arctan_array PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityTrigonometricFuncs::test_tan_invalid_units PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityTrigonometricFuncs::test_arctan_invalid_units PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityTrigonometricFuncs::test_arctan2_valid PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityTrigonometricFuncs::test_arctan2_invalid PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityTrigonometricFuncs::test_radians PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityTrigonometricFuncs::test_degrees PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_power_array_array2 <- lib.linux-x86_64-2.7/astropy/tests/helper.py PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_power_array_array <- lib.linux-x86_64-2.7/astropy/tests/helper.py PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_multiply_scalar PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_multiply_array PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_divide_scalar[function0] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_divide_scalar[function1] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_divide_array[function0] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_divide_array[function1] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_floor_divide_remainder_and_divmod PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_sqrt_scalar PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_sqrt_array PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_square_scalar PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_square_array PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_reciprocal_scalar PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_reciprocal_array PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_heaviside_scalar PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_heaviside_array PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_cbrt_scalar PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_cbrt_array PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_power_scalar PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_power_array PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_float_power_array PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_power_array_array3 PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_power_invalid PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_copysign_scalar PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_copysign_array PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_ldexp_scalar PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_ldexp_array PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_ldexp_invalid PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_exp_scalar[function0] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_exp_scalar[function1] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_exp_scalar[function2] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_exp_scalar[function3] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_exp_scalar[function4] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_exp_scalar[function5] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_exp_scalar[function6] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_exp_array[function0] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_exp_array[function1] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_exp_array[function2] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_exp_array[function3] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_exp_array[function4] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_exp_array[function5] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_exp_array[function6] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_exp_invalid_units[function0] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_exp_invalid_units[function1] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_exp_invalid_units[function2] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_exp_invalid_units[function3] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_exp_invalid_units[function4] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_exp_invalid_units[function5] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_exp_invalid_units[function6] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_modf_scalar PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_modf_array PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_frexp_scalar PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_frexp_array PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_frexp_invalid_units PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_dimensionless_twoarg_array[function0] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_dimensionless_twoarg_array[function1] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_dimensionless_twoarg_invalid_units[function0] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_dimensionless_twoarg_invalid_units[function1] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_scalar[ufunc0] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_scalar[ufunc1] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_scalar[ufunc2] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_scalar[ufunc3] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_scalar[ufunc4] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_scalar[ufunc5] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_scalar[ufunc6] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_scalar[ufunc7] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_scalar[ufunc8] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_scalar[ufunc9] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_array[ufunc0] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_array[ufunc1] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_array[ufunc2] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_array[ufunc3] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_array[ufunc4] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_array[ufunc5] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_twoarg_scalar[ufunc0] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_twoarg_scalar[ufunc1] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_twoarg_scalar[ufunc2] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_twoarg_scalar[ufunc3] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_twoarg_scalar[ufunc4] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_twoarg_scalar[ufunc5] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_twoarg_scalar[ufunc6] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_twoarg_scalar[ufunc7] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_twoarg_scalar[ufunc8] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_twoarg_array[ufunc0] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_twoarg_array[ufunc1] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_twoarg_array[ufunc2] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_twoarg_array[ufunc3] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_twoarg_array[ufunc4] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_twoarg_array[ufunc5] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_twoarg_array[ufunc6] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_twoarg_array[ufunc7] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_twoarg_array[ufunc8] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_twoarg_one_arbitrary[ufunc0] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_twoarg_one_arbitrary[ufunc1] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_twoarg_one_arbitrary[ufunc2] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_twoarg_one_arbitrary[ufunc3] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_twoarg_one_arbitrary[ufunc4] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_twoarg_one_arbitrary[ufunc5] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_twoarg_one_arbitrary[ufunc6] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_twoarg_one_arbitrary[ufunc7] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_twoarg_one_arbitrary[ufunc8] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_twoarg_invalid_units[ufunc0] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_twoarg_invalid_units[ufunc1] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_twoarg_invalid_units[ufunc2] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_twoarg_invalid_units[ufunc3] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_twoarg_invalid_units[ufunc4] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_twoarg_invalid_units[ufunc5] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_twoarg_invalid_units[ufunc6] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_twoarg_invalid_units[ufunc7] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_twoarg_invalid_units[ufunc8] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestComparisonUfuncs::test_comparison_valid_units[ufunc0] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestComparisonUfuncs::test_comparison_valid_units[ufunc1] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestComparisonUfuncs::test_comparison_valid_units[ufunc2] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestComparisonUfuncs::test_comparison_valid_units[ufunc3] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestComparisonUfuncs::test_comparison_valid_units[ufunc4] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestComparisonUfuncs::test_comparison_valid_units[ufunc5] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestComparisonUfuncs::test_comparison_invalid_units[ufunc0] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestComparisonUfuncs::test_comparison_invalid_units[ufunc1] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestComparisonUfuncs::test_comparison_invalid_units[ufunc2] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestComparisonUfuncs::test_comparison_invalid_units[ufunc3] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestComparisonUfuncs::test_comparison_invalid_units[ufunc4] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestComparisonUfuncs::test_comparison_invalid_units[ufunc5] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInplaceUfuncs::test_one_argument_ufunc_inplace[1.0] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInplaceUfuncs::test_one_argument_ufunc_inplace[value1] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInplaceUfuncs::test_one_argument_ufunc_inplace_2[1.0] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInplaceUfuncs::test_one_argument_ufunc_inplace_2[value1] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInplaceUfuncs::test_one_argument_two_output_ufunc_inplace[1.0] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInplaceUfuncs::test_one_argument_two_output_ufunc_inplace[value1] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInplaceUfuncs::test_two_argument_ufunc_inplace_1[1.0] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInplaceUfuncs::test_two_argument_ufunc_inplace_1[value1] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInplaceUfuncs::test_two_argument_ufunc_inplace_2[1.0] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInplaceUfuncs::test_two_argument_ufunc_inplace_2[value1] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInplaceUfuncs::test_two_argument_ufunc_inplace_3 PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInplaceUfuncs::test_two_argument_two_output_ufunc_inplace[1.0] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInplaceUfuncs::test_two_argument_two_output_ufunc_inplace[value1] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInplaceUfuncs::test_ufunc_inplace_non_contiguous_data PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInplaceUfuncs::test_ufunc_inplace_non_standard_dtype PASSED astropy/units/tests/test_quantity_ufuncs.py::TestUfuncAt::test_one_argument_ufunc_at PASSED astropy/units/tests/test_quantity_ufuncs.py::TestUfuncAt::test_two_argument_ufunc_at PASSED astropy/units/tests/test_quantity_ufuncs.py::TestUfuncReduceReduceatAccumulate::test_one_argument_ufunc_reduce_accumulate PASSED astropy/units/tests/test_quantity_ufuncs.py::TestUfuncReduceReduceatAccumulate::test_two_argument_ufunc_reduce_accumulate PASSED astropy/units/tests/test_quantity_ufuncs.py::TestUfuncOuter::test_one_argument_ufunc_outer PASSED astropy/units/tests/test_quantity_ufuncs.py::TestUfuncOuter::test_two_argument_ufunc_outer PASSED astropy/units/tests/test_units.py::test_invalid_type <- lib.linux-x86_64-2.7/astropy/tests/helper.py PASSED astropy/units/tests/test_units.py::test_invalid_scale <- lib.linux-x86_64-2.7/astropy/tests/helper.py PASSED astropy/units/tests/test_units.py::test_compose_failed <- lib.linux-x86_64-2.7/astropy/tests/helper.py PASSED astropy/units/tests/test_units.py::test_unit_noarg <- lib.linux-x86_64-2.7/astropy/tests/helper.py PASSED astropy/units/tests/test_units.py::test_duplicate_define <- lib.linux-x86_64-2.7/astropy/tests/helper.py PASSED astropy/units/tests/test_units.py::test_getting_started PASSED astropy/units/tests/test_units.py::test_initialisation PASSED astropy/units/tests/test_units.py::test_invalid_power PASSED astropy/units/tests/test_units.py::test_invalid_compare PASSED astropy/units/tests/test_units.py::test_convert PASSED astropy/units/tests/test_units.py::test_convert_fail PASSED astropy/units/tests/test_units.py::test_composite PASSED astropy/units/tests/test_units.py::test_str PASSED astropy/units/tests/test_units.py::test_repr PASSED astropy/units/tests/test_units.py::test_represents PASSED astropy/units/tests/test_units.py::test_units_conversion PASSED astropy/units/tests/test_units.py::test_units_manipulation PASSED astropy/units/tests/test_units.py::test_decompose PASSED astropy/units/tests/test_units.py::test_dimensionless_to_si PASSED astropy/units/tests/test_units.py::test_dimensionless_to_cgs PASSED astropy/units/tests/test_units.py::test_unknown_unit PASSED astropy/units/tests/test_units.py::test_multiple_solidus PASSED astropy/units/tests/test_units.py::test_unknown_unit3 PASSED astropy/units/tests/test_units.py::test_cds_power PASSED astropy/units/tests/test_units.py::test_register PASSED astropy/units/tests/test_units.py::test_in_units PASSED astropy/units/tests/test_units.py::test_null_unit PASSED astropy/units/tests/test_units.py::test_unrecognized_equivalency PASSED astropy/units/tests/test_units.py::test_convertible_exception PASSED astropy/units/tests/test_units.py::test_convertible_exception2 PASSED astropy/units/tests/test_units.py::test_steradian PASSED astropy/units/tests/test_units.py::test_decompose_bases PASSED astropy/units/tests/test_units.py::test_complex_compose PASSED astropy/units/tests/test_units.py::test_equiv_compose PASSED astropy/units/tests/test_units.py::test_empty_compose PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[unit0] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[%] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[A] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[AU] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[Angstrom] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[Ba] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[Bi] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[Bq] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[C] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[Ci] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[D] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[F] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[Fr] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[G] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[Gal] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[H] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[Hz] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[J] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[Jy] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[K] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[M_e] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[M_p] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[N] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[Ohm] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[P] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[Pa] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[R] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[Ry] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[S] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[St] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[Sun] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[T] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[V] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[W] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[Wb] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[a] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[abC] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[adu] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[arcmin] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[arcsec] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[bar] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[barn] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[beam] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[bin] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[bit] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[byte] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[cd] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[chan] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[cm] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[ct] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[cycle] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[d] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[dB] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[deg] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[deg_C] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[dex] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[dyn] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[eV] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[earthMass] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[earthRad] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[electron] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[erg] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[fortnight] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[g] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[h] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[hourangle] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[jupiterMass] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[jupiterRad] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[k] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[kg] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[l] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[lm] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[lx] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[lyr] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[m] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[mag] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[mas] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[micron] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[min] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[mol] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[pc] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[ph] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[pix] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[rad] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[s] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[sday] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[solLum] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[solMass] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[solRad] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[sr] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[statA] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[t] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[u] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[uas] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[vox] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[wk] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[yr] PASSED astropy/units/tests/test_units.py::test_compose_cgs_to_si[Ba] PASSED astropy/units/tests/test_units.py::test_compose_cgs_to_si[Bi] PASSED astropy/units/tests/test_units.py::test_compose_cgs_to_si[C] PASSED astropy/units/tests/test_units.py::test_compose_cgs_to_si[D] PASSED astropy/units/tests/test_units.py::test_compose_cgs_to_si[Fr] PASSED astropy/units/tests/test_units.py::test_compose_cgs_to_si[G] PASSED astropy/units/tests/test_units.py::test_compose_cgs_to_si[Gal] PASSED astropy/units/tests/test_units.py::test_compose_cgs_to_si[K] PASSED astropy/units/tests/test_units.py::test_compose_cgs_to_si[P] PASSED astropy/units/tests/test_units.py::test_compose_cgs_to_si[St] PASSED astropy/units/tests/test_units.py::test_compose_cgs_to_si[abC] PASSED astropy/units/tests/test_units.py::test_compose_cgs_to_si[cd] PASSED astropy/units/tests/test_units.py::test_compose_cgs_to_si[cm] PASSED astropy/units/tests/test_units.py::test_compose_cgs_to_si[dyn] PASSED astropy/units/tests/test_units.py::test_compose_cgs_to_si[erg] PASSED astropy/units/tests/test_units.py::test_compose_cgs_to_si[g] PASSED astropy/units/tests/test_units.py::test_compose_cgs_to_si[k] PASSED astropy/units/tests/test_units.py::test_compose_cgs_to_si[mol] PASSED astropy/units/tests/test_units.py::test_compose_cgs_to_si[rad] PASSED astropy/units/tests/test_units.py::test_compose_cgs_to_si[s] PASSED astropy/units/tests/test_units.py::test_compose_cgs_to_si[sr] PASSED astropy/units/tests/test_units.py::test_compose_cgs_to_si[statA] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[%] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[A] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[Angstrom] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[Bq] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[C] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[Ci] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[F] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[H] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[Hz] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[J] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[K] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[N] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[Ohm] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[Pa] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[S] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[T] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[V] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[W] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[Wb] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[a] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[arcmin] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[arcsec] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[bar] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[cd] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[d] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[deg] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[eV] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[fortnight] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[g] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[h] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[hourangle] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[kg] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[l] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[lm] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[lx] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[m] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[mas] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[micron] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[min] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[mol] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[rad] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[s] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[sday] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[sr] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[t] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[uas] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[wk] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[yr] PASSED astropy/units/tests/test_units.py::test_to_cgs PASSED astropy/units/tests/test_units.py::test_decompose_to_cgs PASSED astropy/units/tests/test_units.py::test_compose_issue_579 PASSED astropy/units/tests/test_units.py::test_self_compose PASSED astropy/units/tests/test_units.py::test_compose_fractional_powers PASSED astropy/units/tests/test_units.py::test_compose_best_unit_first PASSED astropy/units/tests/test_units.py::test_compose_no_duplicates PASSED astropy/units/tests/test_units.py::test_long_int PASSED astropy/units/tests/test_units.py::test_endian_independence PASSED astropy/units/tests/test_units.py::test_radian_base PASSED astropy/units/tests/test_units.py::test_no_as PASSED astropy/units/tests/test_units.py::test_no_duplicates_in_names PASSED astropy/units/tests/test_units.py::test_pickling PASSED astropy/units/tests/test_units.py::test_pickle_unrecognized_unit PASSED astropy/units/tests/test_units.py::test_all_units PASSED astropy/units/tests/test_units.py::test_repr_latex PASSED astropy/units/tests/test_units.py::test_operations_with_strings PASSED astropy/units/tests/test_units.py::test_comparison PASSED astropy/units/tests/test_units.py::test_compose_into_arbitrary_units PASSED astropy/units/tests/test_units.py::test_unit_multiplication_with_string PASSED astropy/units/tests/test_units.py::test_unit_division_by_string PASSED astropy/units/tests/test_units.py::test_sorted_bases PASSED astropy/units/tests/test_units.py::test_megabit PASSED astropy/units/tests/test_units.py::test_composite_unit_get_format_name PASSED astropy/units/tests/test_units.py::test_unicode_policy PASSED astropy/units/tests/test_units.py::test_suggestions PASSED astropy/units/tests/test_units.py::test_fits_hst_unit PASSED astropy/units/tests/test_units.py::test_barn_prefixes PASSED astropy/units/tests/test_units.py::test_fractional_powers PASSED astropy/units/tests/test_units.py::test_inherit_docstrings PASSED astropy/units/tests/test_units.py::test_sqrt_mag PASSED astropy/units/tests/test_units.py::test_composite_compose PASSED astropy/units/tests/test_units.py::test_data_quantities PASSED astropy/units/tests/test_units.py::test_compare_with_none PASSED astropy/units/tests/test_units.py::test_validate_power_detect_fraction PASSED astropy/units/tests/test_units.py::test_complex_fractional_rounding_errors PASSED astropy/units/tests/test_units.py::test_fractional_rounding_errors_simple PASSED astropy/units/tests/test_units.py::test_enable_unit_groupings PASSED astropy/units/tests/test_units.py::test_unit_summary_prefixes PASSED astropy/units/tests/test_units.py::test_invalid_type <- lib.linux-x86_64-2.7/astropy/tests/helper.py PASSED astropy/units/tests/test_units.py::test_invalid_scale <- lib.linux-x86_64-2.7/astropy/tests/helper.py PASSED astropy/units/tests/test_units.py::test_compose_failed <- lib.linux-x86_64-2.7/astropy/tests/helper.py PASSED astropy/units/tests/test_units.py::test_unit_noarg <- lib.linux-x86_64-2.7/astropy/tests/helper.py PASSED astropy/units/tests/test_units.py::test_duplicate_define <- lib.linux-x86_64-2.7/astropy/tests/helper.py PASSED astropy/units/tests/test_units.py::test_getting_started PASSED astropy/units/tests/test_units.py::test_initialisation PASSED astropy/units/tests/test_units.py::test_invalid_power PASSED astropy/units/tests/test_units.py::test_invalid_compare PASSED astropy/units/tests/test_units.py::test_convert PASSED astropy/units/tests/test_units.py::test_convert_fail PASSED astropy/units/tests/test_units.py::test_composite PASSED astropy/units/tests/test_units.py::test_str PASSED astropy/units/tests/test_units.py::test_repr PASSED astropy/units/tests/test_units.py::test_represents PASSED astropy/units/tests/test_units.py::test_units_conversion PASSED astropy/units/tests/test_units.py::test_units_manipulation PASSED astropy/units/tests/test_units.py::test_decompose PASSED astropy/units/tests/test_units.py::test_dimensionless_to_si PASSED astropy/units/tests/test_units.py::test_dimensionless_to_cgs PASSED astropy/units/tests/test_units.py::test_unknown_unit PASSED astropy/units/tests/test_units.py::test_multiple_solidus PASSED astropy/units/tests/test_units.py::test_unknown_unit3 PASSED astropy/units/tests/test_units.py::test_cds_power PASSED astropy/units/tests/test_units.py::test_register PASSED astropy/units/tests/test_units.py::test_in_units PASSED astropy/units/tests/test_units.py::test_null_unit PASSED astropy/units/tests/test_units.py::test_unrecognized_equivalency PASSED astropy/units/tests/test_units.py::test_convertible_exception PASSED astropy/units/tests/test_units.py::test_convertible_exception2 PASSED astropy/units/tests/test_units.py::test_steradian PASSED astropy/units/tests/test_units.py::test_decompose_bases PASSED astropy/units/tests/test_units.py::test_complex_compose PASSED astropy/units/tests/test_units.py::test_equiv_compose PASSED astropy/units/tests/test_units.py::test_empty_compose PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[unit0] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[%] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[A] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[AU] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[Angstrom] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[Ba] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[Bi] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[Bq] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[C] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[Ci] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[D] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[F] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[Fr] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[G] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[Gal] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[H] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[Hz] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[J] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[Jy] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[K] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[M_e] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[M_p] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[N] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[Ohm] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[P] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[Pa] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[R] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[Ry] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[S] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[St] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[Sun] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[T] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[V] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[W] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[Wb] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[a] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[abC] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[adu] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[arcmin] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[arcsec] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[bar] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[barn] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[beam] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[bin] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[bit] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[byte] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[cd] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[chan] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[cm] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[ct] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[cycle] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[d] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[dB] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[deg] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[deg_C] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[dex] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[dyn] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[eV] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[earthMass] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[earthRad] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[electron] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[erg] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[fortnight] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[g] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[h] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[hourangle] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[jupiterMass] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[jupiterRad] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[k] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[kg] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[l] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[lm] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[lx] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[lyr] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[m] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[mag] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[mas] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[micron] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[min] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[mol] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[pc] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[ph] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[pix] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[rad] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[s] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[sday] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[solLum] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[solMass] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[solRad] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[sr] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[statA] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[t] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[u] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[uas] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[vox] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[wk] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[yr] PASSED astropy/units/tests/test_units.py::test_compose_cgs_to_si[Ba] PASSED astropy/units/tests/test_units.py::test_compose_cgs_to_si[Bi] PASSED astropy/units/tests/test_units.py::test_compose_cgs_to_si[C] PASSED astropy/units/tests/test_units.py::test_compose_cgs_to_si[D] PASSED astropy/units/tests/test_units.py::test_compose_cgs_to_si[Fr] PASSED astropy/units/tests/test_units.py::test_compose_cgs_to_si[G] PASSED astropy/units/tests/test_units.py::test_compose_cgs_to_si[Gal] PASSED astropy/units/tests/test_units.py::test_compose_cgs_to_si[K] PASSED astropy/units/tests/test_units.py::test_compose_cgs_to_si[P] PASSED astropy/units/tests/test_units.py::test_compose_cgs_to_si[St] PASSED astropy/units/tests/test_units.py::test_compose_cgs_to_si[abC] PASSED astropy/units/tests/test_units.py::test_compose_cgs_to_si[cd] PASSED astropy/units/tests/test_units.py::test_compose_cgs_to_si[cm] PASSED astropy/units/tests/test_units.py::test_compose_cgs_to_si[dyn] PASSED astropy/units/tests/test_units.py::test_compose_cgs_to_si[erg] PASSED astropy/units/tests/test_units.py::test_compose_cgs_to_si[g] PASSED astropy/units/tests/test_units.py::test_compose_cgs_to_si[k] PASSED astropy/units/tests/test_units.py::test_compose_cgs_to_si[mol] PASSED astropy/units/tests/test_units.py::test_compose_cgs_to_si[rad] PASSED astropy/units/tests/test_units.py::test_compose_cgs_to_si[s] PASSED astropy/units/tests/test_units.py::test_compose_cgs_to_si[sr] PASSED astropy/units/tests/test_units.py::test_compose_cgs_to_si[statA] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[%] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[A] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[Angstrom] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[Bq] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[C] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[Ci] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[F] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[H] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[Hz] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[J] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[K] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[N] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[Ohm] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[Pa] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[S] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[T] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[V] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[W] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[Wb] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[a] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[arcmin] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[arcsec] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[bar] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[cd] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[d] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[deg] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[eV] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[fortnight] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[g] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[h] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[hourangle] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[kg] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[l] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[lm] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[lx] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[m] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[mas] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[micron] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[min] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[mol] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[rad] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[s] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[sday] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[sr] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[t] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[uas] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[wk] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[yr] PASSED astropy/units/tests/test_units.py::test_to_cgs PASSED astropy/units/tests/test_units.py::test_decompose_to_cgs PASSED astropy/units/tests/test_units.py::test_compose_issue_579 PASSED astropy/units/tests/test_units.py::test_self_compose PASSED astropy/units/tests/test_units.py::test_compose_fractional_powers PASSED astropy/units/tests/test_units.py::test_compose_best_unit_first PASSED astropy/units/tests/test_units.py::test_compose_no_duplicates PASSED astropy/units/tests/test_units.py::test_long_int PASSED astropy/units/tests/test_units.py::test_endian_independence PASSED astropy/units/tests/test_units.py::test_radian_base PASSED astropy/units/tests/test_units.py::test_no_as PASSED astropy/units/tests/test_units.py::test_no_duplicates_in_names PASSED astropy/units/tests/test_units.py::test_pickling PASSED astropy/units/tests/test_units.py::test_pickle_unrecognized_unit PASSED astropy/units/tests/test_units.py::test_all_units PASSED astropy/units/tests/test_units.py::test_repr_latex PASSED astropy/units/tests/test_units.py::test_operations_with_strings PASSED astropy/units/tests/test_units.py::test_comparison PASSED astropy/units/tests/test_units.py::test_compose_into_arbitrary_units PASSED astropy/units/tests/test_units.py::test_unit_multiplication_with_string PASSED astropy/units/tests/test_units.py::test_unit_division_by_string PASSED astropy/units/tests/test_units.py::test_sorted_bases PASSED astropy/units/tests/test_units.py::test_megabit PASSED astropy/units/tests/test_units.py::test_composite_unit_get_format_name PASSED astropy/units/tests/test_units.py::test_unicode_policy PASSED astropy/units/tests/test_units.py::test_suggestions PASSED astropy/units/tests/test_units.py::test_fits_hst_unit PASSED astropy/units/tests/test_units.py::test_barn_prefixes PASSED astropy/units/tests/test_units.py::test_fractional_powers PASSED astropy/units/tests/test_units.py::test_inherit_docstrings PASSED astropy/units/tests/test_units.py::test_sqrt_mag PASSED astropy/units/tests/test_units.py::test_composite_compose PASSED astropy/units/tests/test_units.py::test_data_quantities PASSED astropy/units/tests/test_units.py::test_compare_with_none PASSED astropy/units/tests/test_units.py::test_validate_power_detect_fraction PASSED astropy/units/tests/test_units.py::test_complex_fractional_rounding_errors PASSED astropy/units/tests/test_units.py::test_fractional_rounding_errors_simple PASSED astropy/units/tests/test_units.py::test_enable_unit_groupings PASSED astropy/units/tests/test_units.py::test_unit_summary_prefixes PASSED astropy/utils/data.py::astropy.utils.data.get_pkg_data_filename PASSED astropy/utils/data.py::astropy.utils.data.get_pkg_data_filenames PASSED astropy/utils/data.py::astropy.utils.data.get_pkg_data_fileobj PASSED astropy/utils/data.py::astropy.utils.data.get_pkg_data_fileobjs PASSED astropy/utils/data_info.py::astropy.utils.data_info.DataInfo.__call__ PASSED astropy/utils/data_info.py::astropy.utils.data_info.data_info_factory PASSED astropy/utils/decorators.py::astropy.utils.decorators.classproperty PASSED astropy/utils/decorators.py::astropy.utils.decorators.deprecated_renamed_argument PASSED astropy/utils/decorators.py::astropy.utils.decorators.format_doc PASSED astropy/utils/decorators.py::astropy.utils.decorators.lazyproperty PASSED astropy/utils/decorators.py::astropy.utils.decorators.sharedmethod PASSED astropy/utils/introspection.py::astropy.utils.introspection.isinstancemethod PASSED astropy/utils/introspection.py::astropy.utils.introspection.minversion PASSED astropy/utils/introspection.py::astropy.utils.introspection.resolve_name PASSED astropy/utils/metadata.py::astropy.utils.metadata.MergeStrategy PASSED astropy/utils/metadata.py::astropy.utils.metadata.enable_merge_strategies PASSED astropy/utils/misc.py::astropy.utils.misc.InheritDocstrings PASSED astropy/utils/misc.py::astropy.utils.misc.JsonCustomEncoder PASSED astropy/utils/misc.py::astropy.utils.misc.OrderedDescriptorContainer PASSED astropy/utils/timer.py::astropy.utils.timer.RunTimePredictor PASSED astropy/utils/compat/misc.py::astropy.utils.compat.misc.suppress PASSED astropy/utils/compat/numpy/tests/test_broadcast_arrays.py::test_import PASSED astropy/utils/compat/numpy/tests/test_broadcast_arrays.py::test_test_function PASSED astropy/utils/compat/numpy/tests/test_broadcast_arrays.py::test_broadcast_quantity PASSED astropy/utils/compat/numpy/tests/test_broadcast_arrays.py::test_broadcast_to PASSED astropy/utils/compat/numpy/tests/test_matmul.py::test_import PASSED astropy/utils/compat/numpy/tests/test_matmul.py::test_test_function PASSED astropy/utils/compat/numpy/tests/test_matmul.py::test_matmul PASSED astropy/utils/iers/tests/test_iers.py::TestBasic::test_simple PASSED astropy/utils/iers/tests/test_iers.py::TestBasic::test_open_filename PASSED astropy/utils/iers/tests/test_iers.py::TestBasic::test_open_network_url PASSED astropy/utils/iers/tests/test_iers.py::TestIERS_AExcerpt::test_simple PASSED astropy/utils/iers/tests/test_iers.py::TestIERS_A::test_simple SKIPPED astropy/utils/iers/tests/test_iers.py::TestIERS_Auto::test_no_auto_download SKIPPED astropy/utils/iers/tests/test_iers.py::TestIERS_Auto::test_simple SKIPPED astropy/utils/tests/test_codegen.py::test_make_function_with_signature_lineno PASSED astropy/utils/tests/test_collections.py::test_homogeneous_list5 <- lib.linux-x86_64-2.7/astropy/tests/helper.py PASSED astropy/utils/tests/test_collections.py::test_homogeneous_list2 <- lib.linux-x86_64-2.7/astropy/tests/helper.py PASSED astropy/utils/tests/test_collections.py::test_homogeneous_list <- lib.linux-x86_64-2.7/astropy/tests/helper.py PASSED astropy/utils/tests/test_collections.py::test_homogeneous_list3 PASSED astropy/utils/tests/test_collections.py::test_homogeneous_list4 PASSED astropy/utils/tests/test_console.py::test_fake_tty PASSED astropy/utils/tests/test_console.py::test_color_text PASSED astropy/utils/tests/test_console.py::test_color_print PASSED astropy/utils/tests/test_console.py::test_color_print2 PASSED astropy/utils/tests/test_console.py::test_color_print3 PASSED astropy/utils/tests/test_console.py::test_color_print_unicode PASSED astropy/utils/tests/test_console.py::test_color_print_invalid_color PASSED astropy/utils/tests/test_console.py::test_color_print_no_default_encoding PASSED astropy/utils/tests/test_console.py::test_spinner_non_unicode_console PASSED astropy/utils/tests/test_console.py::test_progress_bar PASSED astropy/utils/tests/test_console.py::test_progress_bar2 PASSED astropy/utils/tests/test_console.py::test_progress_bar3 PASSED astropy/utils/tests/test_console.py::test_zero_progress_bar PASSED astropy/utils/tests/test_console.py::test_progress_bar_as_generator PASSED astropy/utils/tests/test_console.py::test_human_time[864088- 1w 3d] PASSED astropy/utils/tests/test_console.py::test_human_time[187213- 2d 4h] PASSED astropy/utils/tests/test_console.py::test_human_time[3905- 1h 5m] PASSED astropy/utils/tests/test_console.py::test_human_time[64- 1m 4s] PASSED astropy/utils/tests/test_console.py::test_human_time[15- 15s] PASSED astropy/utils/tests/test_console.py::test_human_time[2- 2s] PASSED astropy/utils/tests/test_console.py::test_human_file_size[8640882-8.6M] PASSED astropy/utils/tests/test_console.py::test_human_file_size[187213-187k] PASSED astropy/utils/tests/test_console.py::test_human_file_size[3905-3.9k] PASSED astropy/utils/tests/test_console.py::test_human_file_size[64- 64 ] PASSED astropy/utils/tests/test_console.py::test_human_file_size[2- 2 ] PASSED astropy/utils/tests/test_console.py::test_human_file_size[size5- 10G] PASSED astropy/utils/tests/test_console.py::test_bad_human_file_size[size0] PASSED astropy/utils/tests/test_console.py::test_bad_human_file_size[size1] PASSED astropy/utils/tests/test_console.py::test_fake_tty PASSED astropy/utils/tests/test_console.py::test_color_text PASSED astropy/utils/tests/test_console.py::test_color_print PASSED astropy/utils/tests/test_console.py::test_color_print2 PASSED astropy/utils/tests/test_console.py::test_color_print3 PASSED astropy/utils/tests/test_console.py::test_color_print_unicode PASSED astropy/utils/tests/test_console.py::test_color_print_invalid_color PASSED astropy/utils/tests/test_console.py::test_color_print_no_default_encoding PASSED astropy/utils/tests/test_console.py::test_spinner_non_unicode_console PASSED astropy/utils/tests/test_console.py::test_progress_bar PASSED astropy/utils/tests/test_console.py::test_progress_bar2 PASSED astropy/utils/tests/test_console.py::test_progress_bar3 PASSED astropy/utils/tests/test_console.py::test_zero_progress_bar PASSED astropy/utils/tests/test_console.py::test_progress_bar_as_generator PASSED astropy/utils/tests/test_console.py::test_human_time[864088- 1w 3d] PASSED astropy/utils/tests/test_console.py::test_human_time[187213- 2d 4h] PASSED astropy/utils/tests/test_console.py::test_human_time[3905- 1h 5m] PASSED astropy/utils/tests/test_console.py::test_human_time[64- 1m 4s] PASSED astropy/utils/tests/test_console.py::test_human_time[15- 15s] PASSED astropy/utils/tests/test_console.py::test_human_time[2- 2s] PASSED astropy/utils/tests/test_console.py::test_human_file_size[8640882-8.6M] PASSED astropy/utils/tests/test_console.py::test_human_file_size[187213-187k] PASSED astropy/utils/tests/test_console.py::test_human_file_size[3905-3.9k] PASSED astropy/utils/tests/test_console.py::test_human_file_size[64- 64 ] PASSED astropy/utils/tests/test_console.py::test_human_file_size[2- 2 ] PASSED astropy/utils/tests/test_console.py::test_human_file_size[size5- 10G] PASSED astropy/utils/tests/test_console.py::test_bad_human_file_size[size0] PASSED astropy/utils/tests/test_console.py::test_bad_human_file_size[size1] PASSED astropy/utils/tests/test_data.py::test_local_data_nonlocalfail <- lib.linux-x86_64-2.7/astropy/tests/helper.py PASSED astropy/utils/tests/test_data.py::test_download_nocache SKIPPED astropy/utils/tests/test_data.py::test_download_noprogress SKIPPED astropy/utils/tests/test_data.py::test_download_cache SKIPPED astropy/utils/tests/test_data.py::test_url_nocache SKIPPED astropy/utils/tests/test_data.py::test_find_by_hash SKIPPED astropy/utils/tests/test_data.py::test_local_data_obj[local.dat] PASSED astropy/utils/tests/test_data.py::test_local_data_obj[local.dat.gz] PASSED astropy/utils/tests/test_data.py::test_local_data_obj[local.dat.bz2] PASSED astropy/utils/tests/test_data.py::test_local_data_obj[local.dat.xz] PASSED astropy/utils/tests/test_data.py::test_local_data_obj_invalid[invalid.dat.bz2] PASSED astropy/utils/tests/test_data.py::test_local_data_obj_invalid[invalid.dat.gz] PASSED astropy/utils/tests/test_data.py::test_local_data_name PASSED astropy/utils/tests/test_data.py::test_data_name_third_party_package PASSED astropy/utils/tests/test_data.py::test_compute_hash PASSED astropy/utils/tests/test_data.py::test_get_pkg_data_contents PASSED astropy/utils/tests/test_data.py::test_data_noastropy_fallback SKIPPED astropy/utils/tests/test_data.py::test_read_unicode[unicode.txt] PASSED astropy/utils/tests/test_data.py::test_read_unicode[unicode.txt.gz] PASSED astropy/utils/tests/test_data.py::test_read_unicode[unicode.txt.bz2] PASSED astropy/utils/tests/test_data.py::test_read_unicode[unicode.txt.xz] xfail astropy/utils/tests/test_data.py::test_compressed_stream PASSED astropy/utils/tests/test_data.py::test_invalid_location_download SKIPPED astropy/utils/tests/test_data.py::test_invalid_location_download_noconnect PASSED astropy/utils/tests/test_data.py::test_is_url_in_cache SKIPPED astropy/utils/tests/test_data.py::test_get_readable_fileobj_cleans_up_temporary_files PASSED astropy/utils/tests/test_data.py::test_path_objects_get_readable_fileobj SKIPPED astropy/utils/tests/test_data.py::test_get_cached_urls SKIPPED astropy/utils/tests/test_data.py::test_local_data_nonlocalfail <- lib.linux-x86_64-2.7/astropy/tests/helper.py PASSED astropy/utils/tests/test_data.py::test_download_nocache SKIPPED astropy/utils/tests/test_data.py::test_download_noprogress SKIPPED astropy/utils/tests/test_data.py::test_download_cache SKIPPED astropy/utils/tests/test_data.py::test_url_nocache SKIPPED astropy/utils/tests/test_data.py::test_find_by_hash SKIPPED astropy/utils/tests/test_data.py::test_local_data_obj[local.dat] PASSED astropy/utils/tests/test_data.py::test_local_data_obj[local.dat.gz] PASSED astropy/utils/tests/test_data.py::test_local_data_obj[local.dat.bz2] PASSED astropy/utils/tests/test_data.py::test_local_data_obj[local.dat.xz] PASSED astropy/utils/tests/test_data.py::test_local_data_obj_invalid[invalid.dat.bz2] PASSED astropy/utils/tests/test_data.py::test_local_data_obj_invalid[invalid.dat.gz] PASSED astropy/utils/tests/test_data.py::test_local_data_name PASSED astropy/utils/tests/test_data.py::test_data_name_third_party_package PASSED astropy/utils/tests/test_data.py::test_compute_hash PASSED astropy/utils/tests/test_data.py::test_get_pkg_data_contents PASSED astropy/utils/tests/test_data.py::test_data_noastropy_fallback SKIPPED astropy/utils/tests/test_data.py::test_read_unicode[unicode.txt] PASSED astropy/utils/tests/test_data.py::test_read_unicode[unicode.txt.gz] PASSED astropy/utils/tests/test_data.py::test_read_unicode[unicode.txt.bz2] PASSED astropy/utils/tests/test_data.py::test_read_unicode[unicode.txt.xz] xfail astropy/utils/tests/test_data.py::test_compressed_stream PASSED astropy/utils/tests/test_data.py::test_invalid_location_download SKIPPED astropy/utils/tests/test_data.py::test_invalid_location_download_noconnect PASSED astropy/utils/tests/test_data.py::test_is_url_in_cache SKIPPED astropy/utils/tests/test_data.py::test_get_readable_fileobj_cleans_up_temporary_files PASSED astropy/utils/tests/test_data.py::test_path_objects_get_readable_fileobj SKIPPED astropy/utils/tests/test_data.py::test_get_cached_urls SKIPPED astropy/utils/tests/test_data_info.py::test_dtype_info_name[input0-str4] PASSED astropy/utils/tests/test_data_info.py::test_dtype_info_name[input1-unicode4] PASSED astropy/utils/tests/test_data_info.py::test_dtype_info_name[S4-str4] PASSED astropy/utils/tests/test_data_info.py::test_dtype_info_name[U4-unicode4] PASSED astropy/utils/tests/test_data_info.py::test_dtype_info_name[void-void] PASSED astropy/utils/tests/test_data_info.py::test_dtype_info_name[int32-int32] PASSED astropy/utils/tests/test_data_info.py::test_dtype_info_name[bool-bool0] PASSED astropy/utils/tests/test_data_info.py::test_dtype_info_name[bool-bool1] PASSED astropy/utils/tests/test_data_info.py::test_dtype_info_name[float-float64] PASSED astropy/utils/tests/test_data_info.py::test_dtype_info_name[ build/lib.linux-x86_64-3.6/astropy/wcs/include/astropy_wcs creating build/lib.linux-x86_64-3.6/astropy/wcs/include/wcslib copying astropy/wcs/include/wcslib/cel.h -> build/lib.linux-x86_64-3.6/astropy/wcs/include/wcslib copying astropy/wcs/include/wcslib/lin.h -> build/lib.linux-x86_64-3.6/astropy/wcs/include/wcslib copying astropy/wcs/include/wcslib/prj.h -> build/lib.linux-x86_64-3.6/astropy/wcs/include/wcslib copying astropy/wcs/include/wcslib/spc.h -> build/lib.linux-x86_64-3.6/astropy/wcs/include/wcslib copying astropy/wcs/include/wcslib/spx.h -> build/lib.linux-x86_64-3.6/astropy/wcs/include/wcslib copying astropy/wcs/include/wcslib/tab.h -> build/lib.linux-x86_64-3.6/astropy/wcs/include/wcslib copying astropy/wcs/include/wcslib/wcs.h -> build/lib.linux-x86_64-3.6/astropy/wcs/include/wcslib copying astropy/wcs/include/wcslib/wcserr.h -> build/lib.linux-x86_64-3.6/astropy/wcs/include/wcslib copying astropy/wcs/include/wcslib/wcsmath.h -> build/lib.linux-x86_64-3.6/astropy/wcs/include/wcslib copying astropy/wcs/include/wcslib/wcsprintf.h -> build/lib.linux-x86_64-3.6/astropy/wcs/include/wcslib running build_ext running pre_hook from astropy._erfa.setup_package for build_ext command running pre_hook from astropy.modeling.setup_package for build_ext command building 'astropy._compiler' extension x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/python3.6m -c astropy/_compiler.c -o build/temp.linux-x86_64-3.6/astropy/_compiler.o x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -specs=/usr/share/dpkg/no-pie-link.specs -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-3.6/astropy/_compiler.o -o build/lib.linux-x86_64-3.6/astropy/_compiler.cpython-36m-x86_64-linux-gnu.so Internet access disabled ============================= test session starts ============================== platform linux -- Python 3.6.3, pytest-3.2.1, py-1.4.34, pluggy-0.4.0 -- /usr/bin/python3.6 cachedir: .. Running tests with Astropy version 2.0.2. Running tests in lib.linux-x86_64-3.6/astropy docs. Date: 2017-11-03T01:41:02 Platform: Linux-4.4.0-97-generic-x86_64-with-Ubuntu-18.04-bionic Executable: /usr/bin/python3.6 Full Python Version: 3.6.3 (default, Oct 3 2017, 21:45:48) [GCC 7.2.0] encodings: sys: utf-8, locale: UTF-8, filesystem: utf-8 byteorder: little float info: dig: 15, mant_dig: 15 Numpy: 1.13.1 Scipy: 0.19.1 Matplotlib: 2.0.0 h5py: 2.7.1 Pandas: not available Cython: 0.26.1 Using Astropy options: remote_data: none. rootdir: /tmp/astropy-test-tbrzzg90, inifile: setup.cfg plugins: mpl-0.7 collecting ... collected 10207 items astropy/_erfa/tests/test_erfa.py::test_erfa_wrapper PASSED astropy/_erfa/tests/test_erfa.py::test_angle_ops PASSED astropy/_erfa/tests/test_erfa.py::test_spherical_cartesian PASSED astropy/_erfa/tests/test_erfa.py::test_errwarn_reporting PASSED astropy/_erfa/tests/test_erfa.py::test_vector_inouts PASSED astropy/_erfa/tests/test_erfa.py::test_matrix_in PASSED astropy/_erfa/tests/test_erfa.py::test_structs PASSED astropy/analytic_functions/tests/test_blackbody.py::test_deprecated_blackbodies PASSED astropy/config/configuration.py::astropy.config.configuration.ConfigNamespace.set_temp PASSED astropy/config/tests/test_configs.py::test_paths PASSED astropy/config/tests/test_configs.py::test_set_temp_config PASSED astropy/config/tests/test_configs.py::test_set_temp_cache PASSED astropy/config/tests/test_configs.py::test_config_file PASSED astropy/config/tests/test_configs.py::test_configitem PASSED astropy/config/tests/test_configs.py::test_configitem_types PASSED astropy/config/tests/test_configs.py::test_configitem_options PASSED astropy/config/tests/test_configs.py::test_config_noastropy_fallback PASSED astropy/config/tests/test_configs.py::test_configitem_setters PASSED astropy/config/tests/test_configs.py::test_empty_config_file PASSED astropy/config/tests/test_configs.py::TestAliasRead::test_alias_read PASSED astropy/config/tests/test_configs.py::test_configitem_unicode PASSED astropy/config/tests/test_configs.py::test_warning_move_to_top_level PASSED astropy/config/tests/test_configs.py::test_no_home PASSED astropy/config/tests/test_configs.py::test_unedited_template PASSED astropy/constants/__init__.py::astropy.constants PASSED astropy/constants/tests/test_constant.py::test_c PASSED astropy/constants/tests/test_constant.py::test_h PASSED astropy/constants/tests/test_constant.py::test_e PASSED astropy/constants/tests/test_constant.py::test_g0 PASSED astropy/constants/tests/test_constant.py::test_b_wien PASSED astropy/constants/tests/test_constant.py::test_unit PASSED astropy/constants/tests/test_constant.py::test_copy PASSED astropy/constants/tests/test_constant.py::test_view PASSED astropy/constants/tests/test_pickle.py::test_new_constant[0-original0-True] xfail astropy/constants/tests/test_pickle.py::test_new_constant[0-original1-True] xfail astropy/constants/tests/test_pickle.py::test_new_constant[0-original2-True] xfail astropy/constants/tests/test_pickle.py::test_new_constant[1-original0-True] xfail astropy/constants/tests/test_pickle.py::test_new_constant[1-original1-True] xfail astropy/constants/tests/test_pickle.py::test_new_constant[1-original2-True] xfail astropy/constants/tests/test_pickle.py::test_new_constant[-1-original0-True] xfail astropy/constants/tests/test_pickle.py::test_new_constant[-1-original1-True] xfail astropy/constants/tests/test_pickle.py::test_new_constant[-1-original2-True] xfail astropy/constants/tests/test_prior_version.py::test_c PASSED astropy/constants/tests/test_prior_version.py::test_h PASSED astropy/constants/tests/test_prior_version.py::test_e PASSED astropy/constants/tests/test_prior_version.py::test_g0 PASSED astropy/constants/tests/test_prior_version.py::test_b_wien PASSED astropy/constants/tests/test_prior_version.py::test_unit PASSED astropy/constants/tests/test_prior_version.py::test_copy PASSED astropy/constants/tests/test_prior_version.py::test_view PASSED astropy/convolution/kernels.py::astropy.convolution.kernels.CustomKernel PASSED astropy/convolution/kernels.py::astropy.convolution.kernels.Model1DKernel PASSED astropy/convolution/kernels.py::astropy.convolution.kernels.Model2DKernel PASSED astropy/convolution/tests/test_convolve.py::TestConvolve1D::test_list PASSED astropy/convolution/tests/test_convolve.py::TestConvolve1D::test_input_unmodified PASSED astropy/convolution/tests/test_convolve.py::TestConvolve1D::test_dtype[>f4->f4] PASSED astropy/convolution/tests/test_convolve.py::TestConvolve1D::test_dtype[>f4-f4->f8] PASSED astropy/convolution/tests/test_convolve.py::TestConvolve1D::test_dtype[>f4-f4] PASSED astropy/convolution/tests/test_convolve.py::TestConvolve1D::test_dtype[f8] PASSED astropy/convolution/tests/test_convolve.py::TestConvolve1D::test_dtype[f8->f4] PASSED astropy/convolution/tests/test_convolve.py::TestConvolve1D::test_dtype[>f8-f8->f8] PASSED astropy/convolution/tests/test_convolve.py::TestConvolve1D::test_dtype[>f8-f4] PASSED astropy/convolution/tests/test_convolve.py::TestConvolve1D::test_dtype[f8] PASSED astropy/convolution/tests/test_convolve.py::TestConvolve1D::test_dtype[f4->f4] PASSED astropy/convolution/tests/test_convolve.py::TestConvolve2D::test_dtype[>f4-f4->f8] PASSED astropy/convolution/tests/test_convolve.py::TestConvolve2D::test_dtype[>f4-f4] PASSED astropy/convolution/tests/test_convolve.py::TestConvolve2D::test_dtype[f8] PASSED astropy/convolution/tests/test_convolve.py::TestConvolve2D::test_dtype[f8->f4] PASSED astropy/convolution/tests/test_convolve.py::TestConvolve2D::test_dtype[>f8-f8->f8] PASSED astropy/convolution/tests/test_convolve.py::TestConvolve2D::test_dtype[>f8-f4] PASSED astropy/convolution/tests/test_convolve.py::TestConvolve2D::test_dtype[f8] PASSED astropy/convolution/tests/test_convolve.py::TestConvolve2D::test_dtype[f4->f4] PASSED astropy/convolution/tests/test_convolve.py::TestConvolve3D::test_dtype[>f4-f4->f8] PASSED astropy/convolution/tests/test_convolve.py::TestConvolve3D::test_dtype[>f4-f4] PASSED astropy/convolution/tests/test_convolve.py::TestConvolve3D::test_dtype[f8] PASSED astropy/convolution/tests/test_convolve.py::TestConvolve3D::test_dtype[f8->f4] PASSED astropy/convolution/tests/test_convolve.py::TestConvolve3D::test_dtype[>f8-f8->f8] PASSED astropy/convolution/tests/test_convolve.py::TestConvolve3D::test_dtype[>f8-f4] PASSED astropy/convolution/tests/test_convolve.py::TestConvolve3D::test_dtype[f8] PASSED astropy/convolution/tests/test_convolve.py::TestConvolve3D::test_dtype[] PASSED astropy/io/fits/tests/test_image.py::TestCompressedImage::test_comp_image[data5-GZIP_1--0.01->] PASSED astropy/io/fits/tests/test_image.py::TestCompressedImage::test_comp_image[data6-GZIP_2--0.01->] PASSED astropy/io/fits/tests/test_image.py::TestCompressedImage::test_comp_image[data7-HCOMPRESS_1-16->] PASSED astropy/io/fits/tests/test_image.py::TestCompressedImage::test_comp_image_quantize_level PASSED astropy/io/fits/tests/test_image.py::TestCompressedImage::test_comp_image_hcompression_1_invalid_data PASSED astropy/io/fits/tests/test_image.py::TestCompressedImage::test_comp_image_hcompress_image_stack PASSED astropy/io/fits/tests/test_image.py::TestCompressedImage::test_subtractive_dither_seed PASSED astropy/io/fits/tests/test_image.py::TestCompressedImage::test_disable_image_compression PASSED astropy/io/fits/tests/test_image.py::TestCompressedImage::test_open_comp_image_in_update_mode PASSED astropy/io/fits/tests/test_image.py::TestCompressedImage::test_open_scaled_in_update_mode_compressed PASSED astropy/io/fits/tests/test_image.py::TestCompressedImage::test_write_comp_hdu_direct_from_existing PASSED astropy/io/fits/tests/test_image.py::TestCompressedImage::test_rewriting_large_scaled_image_compressed PASSED astropy/io/fits/tests/test_image.py::TestCompressedImage::test_scale_back_compressed PASSED astropy/io/fits/tests/test_image.py::TestCompressedImage::test_lossless_gzip_compression PASSED astropy/io/fits/tests/test_image.py::TestCompressedImage::test_compression_column_tforms PASSED astropy/io/fits/tests/test_image.py::TestCompressedImage::test_compression_update_header PASSED astropy/io/fits/tests/test_image.py::TestCompressedImage::test_compression_update_header_with_reserved PASSED astropy/io/fits/tests/test_image.py::TestCompressedImage::test_compression_header_append PASSED astropy/io/fits/tests/test_image.py::TestCompressedImage::test_compression_header_append2 PASSED astropy/io/fits/tests/test_image.py::TestCompressedImage::test_compression_header_insert PASSED astropy/io/fits/tests/test_image.py::TestCompressedImage::test_compression_header_set_before_after PASSED astropy/io/fits/tests/test_image.py::TestCompressedImage::test_compression_header_append_commentary PASSED astropy/io/fits/tests/test_image.py::TestCompressedImage::test_compression_with_gzip_column PASSED astropy/io/fits/tests/test_image.py::TestCompressedImage::test_duplicate_compression_header_keywords PASSED astropy/io/fits/tests/test_image.py::TestCompressedImage::test_scale_bzero_with_compressed_int_data PASSED astropy/io/fits/tests/test_image.py::TestCompressedImage::test_scale_back_compressed_uint_assignment PASSED astropy/io/fits/tests/test_image.py::TestCompressedImage::test_compressed_header_missing_znaxis PASSED astropy/io/fits/tests/test_image.py::TestCompressedImage::test_compressed_scaled_float[BSCALE-uint8-float32] PASSED astropy/io/fits/tests/test_image.py::TestCompressedImage::test_compressed_scaled_float[BSCALE-int16-float32] PASSED astropy/io/fits/tests/test_image.py::TestCompressedImage::test_compressed_scaled_float[BSCALE-int32-float64] PASSED astropy/io/fits/tests/test_image.py::TestCompressedImage::test_compressed_scaled_float[BZERO-uint8-float32] PASSED astropy/io/fits/tests/test_image.py::TestCompressedImage::test_compressed_scaled_float[BZERO-int16-float32] PASSED astropy/io/fits/tests/test_image.py::TestCompressedImage::test_compressed_scaled_float[BZERO-int32-float64] PASSED astropy/io/fits/tests/test_image.py::test_comphdu_bscale PASSED astropy/io/fits/tests/test_image.py::test_scale_implicit_casting PASSED astropy/io/fits/tests/test_image.py::test_bzero_implicit_casting_compressed PASSED astropy/io/fits/tests/test_image.py::test_bzero_mishandled_info PASSED astropy/io/fits/tests/test_image.py::test_image_write_readonly PASSED astropy/io/fits/tests/test_nonstandard.py::TestNonstandardHdus::test_create_fitshdu PASSED astropy/io/fits/tests/test_nonstandard.py::TestNonstandardHdus::test_create_fitshdu_with_compression PASSED astropy/io/fits/tests/test_nonstandard.py::TestNonstandardHdus::test_create_fitshdu_from_filename PASSED astropy/io/fits/tests/test_structured.py::TestStructured::test_structured PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_constructor_copies_header PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_open PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_binary_table PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_ascii_table PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_endianness PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_column_endianness PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_recarray_to_bintablehdu PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_numpy_ndarray_to_bintablehdu PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_numpy_ndarray_to_bintablehdu_with_unicode PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_new_table_from_recarray PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_new_fitsrec PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_appending_a_column PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_adding_a_column PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_merge_tables PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_modify_column_attributes PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_mask_array PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_slice_a_row PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_fits_record_len PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_add_data_by_rows PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_assign_multiple_rows_to_table PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_verify_data_references PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_new_table_with_ndarray PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_new_table_with_fits_rec PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_bin_table_hdu_constructor PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_constructor_name_arg PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_unicode_colname PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_bin_table_with_logical_array PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_fits_rec_column_access PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_table_with_zero_width_column PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_string_column_padding PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_multi_dimensional_columns PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_bin_table_init_from_string_array_column PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_columns_with_truncating_tdim PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_string_array_round_trip PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_new_table_with_nd_column PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_mismatched_tform_and_tdim PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_tdim_of_size_one PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_slicing PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_array_slicing PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_array_broadcasting PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_array_slicing_readonly PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_dump_load_round_trip PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_dump_load_array_colums PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_load_guess_format PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_attribute_field_shadowing PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_table_from_bool_fields PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_table_from_bool_fields2 PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_bool_column_update PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_missing_tnull PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_blank_field_zero PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_column_array_type_mismatch PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_table_none PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_unncessary_table_load PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_table_from_columns_of_other_table PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_bintable_to_asciitable PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_pickle PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_zero_length_table PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_dim_column_byte_order_mismatch PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_fits_rec_from_existing PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_update_string_column_inplace PASSED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_reference_leak SKIPPED astropy/io/fits/tests/test_table.py::TestTableFunctions::test_dump_clobber_vs_overwrite PASSED astropy/io/fits/tests/test_table.py::TestVLATables::test_variable_length_columns PASSED astropy/io/fits/tests/test_table.py::TestVLATables::test_extend_variable_length_array PASSED astropy/io/fits/tests/test_table.py::TestVLATables::test_variable_length_table_format_pd_from_object_array PASSED astropy/io/fits/tests/test_table.py::TestVLATables::test_variable_length_table_format_pd_from_list PASSED astropy/io/fits/tests/test_table.py::TestVLATables::test_variable_length_table_format_pa_from_object_array PASSED astropy/io/fits/tests/test_table.py::TestVLATables::test_variable_length_table_format_pa_from_list PASSED astropy/io/fits/tests/test_table.py::TestVLATables::test_getdata_vla PASSED astropy/io/fits/tests/test_table.py::TestVLATables::test_copy_vla PASSED astropy/io/fits/tests/test_table.py::TestColumnFunctions::test_column_format_interpretation PASSED astropy/io/fits/tests/test_table.py::TestColumnFunctions::test_zero_precision_float_column PASSED astropy/io/fits/tests/test_table.py::TestColumnFunctions::test_column_array_type_mismatch PASSED astropy/io/fits/tests/test_table.py::TestColumnFunctions::test_new_coldefs_with_invalid_seqence PASSED astropy/io/fits/tests/test_table.py::TestColumnFunctions::test_pickle PASSED astropy/io/fits/tests/test_table.py::TestColumnFunctions::test_column_lookup_by_name PASSED astropy/io/fits/tests/test_table.py::TestColumnFunctions::test_column_attribute_change_after_removal PASSED astropy/io/fits/tests/test_table.py::TestColumnFunctions::test_x_column_deepcopy PASSED astropy/io/fits/tests/test_table.py::TestColumnFunctions::test_p_column_deepcopy PASSED astropy/io/fits/tests/test_table.py::test_regression_5383 PASSED astropy/io/fits/tests/test_table.py::test_table_to_hdu PASSED astropy/io/fits/tests/test_uint.py::TestUintFunctions::test_uint[u2-False] PASSED astropy/io/fits/tests/test_uint.py::TestUintFunctions::test_uint[u4-False] PASSED astropy/io/fits/tests/test_uint.py::TestUintFunctions::test_uint[u8-False] PASSED astropy/io/fits/tests/test_uint.py::TestUintFunctions::test_uint[u2-True] PASSED astropy/io/fits/tests/test_uint.py::TestUintFunctions::test_uint[u4-True] PASSED astropy/io/fits/tests/test_uint.py::TestUintFunctions::test_uint_columns[u2] PASSED astropy/io/fits/tests/test_uint.py::TestUintFunctions::test_uint_columns[u4] PASSED astropy/io/fits/tests/test_uint.py::TestUintFunctions::test_uint_columns[u8] PASSED astropy/io/fits/tests/test_util.py::TestUtils::test_ignore_sigint PASSED astropy/io/fits/tests/test_util.py::TestUtils::test_realign_dtype PASSED astropy/io/fits/tests/test_util.py::TestUtilMode::test_mode_strings PASSED astropy/io/fits/tests/test_util.py::TestUtilMode::test_mode_pil_image SKIPPED astropy/io/fits/tests/test_util.py::TestUtilMode::test_mode_gzip PASSED astropy/io/fits/tests/test_util.py::TestUtilMode::test_mode_normal_buffering PASSED astropy/io/fits/tests/test_util.py::TestUtilMode::test_mode_normal_no_buffering PASSED astropy/io/fits/tests/test_util.py::TestUtilMode::test_mode_normalization PASSED astropy/io/misc/yaml.py::astropy.io.misc.yaml PASSED astropy/io/misc/tests/test_hdf5.py::test_write_nopath PASSED astropy/io/misc/tests/test_hdf5.py::test_read_notable_nopath PASSED astropy/io/misc/tests/test_hdf5.py::test_read_nopath PASSED astropy/io/misc/tests/test_hdf5.py::test_write_invalid_path PASSED astropy/io/misc/tests/test_hdf5.py::test_read_invalid_path PASSED astropy/io/misc/tests/test_hdf5.py::test_read_missing_group PASSED astropy/io/misc/tests/test_hdf5.py::test_read_missing_table PASSED astropy/io/misc/tests/test_hdf5.py::test_read_missing_group_fileobj PASSED astropy/io/misc/tests/test_hdf5.py::test_read_write_simple PASSED astropy/io/misc/tests/test_hdf5.py::test_read_write_existing_table PASSED astropy/io/misc/tests/test_hdf5.py::test_read_write_memory PASSED astropy/io/misc/tests/test_hdf5.py::test_read_write_existing PASSED astropy/io/misc/tests/test_hdf5.py::test_read_write_existing_overwrite PASSED astropy/io/misc/tests/test_hdf5.py::test_read_write_existing_append PASSED astropy/io/misc/tests/test_hdf5.py::test_read_write_existing_append_groups PASSED astropy/io/misc/tests/test_hdf5.py::test_read_write_existing_append_overwrite PASSED astropy/io/misc/tests/test_hdf5.py::test_read_fileobj PASSED astropy/io/misc/tests/test_hdf5.py::test_read_filobj_path PASSED astropy/io/misc/tests/test_hdf5.py::test_read_filobj_group_path PASSED astropy/io/misc/tests/test_hdf5.py::test_read_wrong_fileobj PASSED astropy/io/misc/tests/test_hdf5.py::test_write_fileobj PASSED astropy/io/misc/tests/test_hdf5.py::test_write_filobj_group PASSED astropy/io/misc/tests/test_hdf5.py::test_write_wrong_type PASSED astropy/io/misc/tests/test_hdf5.py::test_preserve_single_dtypes[uint8] PASSED astropy/io/misc/tests/test_hdf5.py::test_preserve_single_dtypes[uint16] PASSED astropy/io/misc/tests/test_hdf5.py::test_preserve_single_dtypes[uint32] PASSED astropy/io/misc/tests/test_hdf5.py::test_preserve_single_dtypes[uint64] PASSED astropy/io/misc/tests/test_hdf5.py::test_preserve_single_dtypes[int8] PASSED astropy/io/misc/tests/test_hdf5.py::test_preserve_single_dtypes[int16] PASSED astropy/io/misc/tests/test_hdf5.py::test_preserve_single_dtypes[int32] PASSED astropy/io/misc/tests/test_hdf5.py::test_preserve_single_dtypes[int64] PASSED astropy/io/misc/tests/test_hdf5.py::test_preserve_single_dtypes[float32] PASSED astropy/io/misc/tests/test_hdf5.py::test_preserve_single_dtypes[float64] PASSED astropy/io/misc/tests/test_hdf5.py::test_preserve_single_dtypes[bool] PASSED astropy/io/misc/tests/test_hdf5.py::test_preserve_single_dtypes[|S3] PASSED astropy/io/misc/tests/test_hdf5.py::test_preserve_all_dtypes PASSED astropy/io/misc/tests/test_hdf5.py::test_preserve_meta PASSED astropy/io/misc/tests/test_hdf5.py::test_preserve_serialized PASSED astropy/io/misc/tests/test_hdf5.py::test_metadata_too_large PASSED astropy/io/misc/tests/test_hdf5.py::test_skip_meta PASSED astropy/io/misc/tests/test_hdf5.py::test_read_h5py_objects PASSED astropy/io/misc/tests/test_pickle_helpers.py::test_fnpickling_simple PASSED astropy/io/misc/tests/test_pickle_helpers.py::test_fnpickling_class PASSED astropy/io/misc/tests/test_pickle_helpers.py::test_fnpickling_protocol PASSED astropy/io/misc/tests/test_pickle_helpers.py::test_fnpickling_many PASSED astropy/io/misc/tests/test_yaml.py::test_numpy_types[True] PASSED astropy/io/misc/tests/test_yaml.py::test_numpy_types[c1] PASSED astropy/io/misc/tests/test_yaml.py::test_numpy_types[c2] PASSED astropy/io/misc/tests/test_yaml.py::test_numpy_types[c3] PASSED astropy/io/misc/tests/test_yaml.py::test_numpy_types[c4] PASSED astropy/io/misc/tests/test_yaml.py::test_numpy_types[c5] PASSED astropy/io/misc/tests/test_yaml.py::test_numpy_types[2.0] PASSED astropy/io/misc/tests/test_yaml.py::test_numpy_types[0.0] PASSED astropy/io/misc/tests/test_yaml.py::test_numpy_types[c8] PASSED astropy/io/misc/tests/test_yaml.py::test_numpy_types[c9] PASSED astropy/io/misc/tests/test_yaml.py::test_numpy_types[c10] PASSED astropy/io/misc/tests/test_yaml.py::test_numpy_types[c11] PASSED astropy/io/misc/tests/test_yaml.py::test_unit[c0] PASSED astropy/io/misc/tests/test_yaml.py::test_unit[c1] PASSED astropy/io/misc/tests/test_yaml.py::test_unit[c2] PASSED astropy/io/misc/tests/test_yaml.py::test_unit[c3] PASSED astropy/io/misc/tests/test_yaml.py::test_ndarray_subclasses[c0] PASSED astropy/io/misc/tests/test_yaml.py::test_ndarray_subclasses[c1] PASSED astropy/io/misc/tests/test_yaml.py::test_ndarray_subclasses[c2] PASSED astropy/io/misc/tests/test_yaml.py::test_ndarray_subclasses[c3] PASSED astropy/io/misc/tests/test_yaml.py::test_ndarray_subclasses[c4] PASSED astropy/io/misc/tests/test_yaml.py::test_ndarray_subclasses[c5] PASSED astropy/io/misc/tests/test_yaml.py::test_ndarray_subclasses[c6] PASSED astropy/io/misc/tests/test_yaml.py::test_skycoord[fk4] PASSED astropy/io/misc/tests/test_yaml.py::test_skycoord[altaz] PASSED astropy/io/misc/tests/test_yaml.py::test_time PASSED astropy/io/misc/tests/test_yaml.py::test_timedelta PASSED astropy/io/misc/tests/test_yaml.py::test_serialized_column PASSED astropy/io/misc/tests/test_yaml.py::test_load_all PASSED astropy/io/misc/tests/test_yaml.py::test_ecsv_astropy_objects_in_meta PASSED astropy/io/tests/test_registry.py::test_get_reader_invalid PASSED astropy/io/tests/test_registry.py::test_get_writer_invalid PASSED astropy/io/tests/test_registry.py::test_register_reader PASSED astropy/io/tests/test_registry.py::test_register_writer PASSED astropy/io/tests/test_registry.py::test_register_identifier PASSED astropy/io/tests/test_registry.py::test_register_reader_invalid PASSED astropy/io/tests/test_registry.py::test_register_writer_invalid PASSED astropy/io/tests/test_registry.py::test_register_identifier_invalid PASSED astropy/io/tests/test_registry.py::test_unregister_reader_invalid PASSED astropy/io/tests/test_registry.py::test_unregister_writer_invalid PASSED astropy/io/tests/test_registry.py::test_unregister_identifier_invalid PASSED astropy/io/tests/test_registry.py::test_register_reader_force PASSED astropy/io/tests/test_registry.py::test_register_writer_force PASSED astropy/io/tests/test_registry.py::test_register_identifier_force PASSED astropy/io/tests/test_registry.py::test_read_noformat PASSED astropy/io/tests/test_registry.py::test_write_noformat PASSED astropy/io/tests/test_registry.py::test_read_noformat_arbitrary PASSED astropy/io/tests/test_registry.py::test_read_noformat_arbitrary_file PASSED astropy/io/tests/test_registry.py::test_write_noformat_arbitrary PASSED astropy/io/tests/test_registry.py::test_write_noformat_arbitrary_file PASSED astropy/io/tests/test_registry.py::test_read_toomanyformats PASSED astropy/io/tests/test_registry.py::test_write_toomanyformats PASSED astropy/io/tests/test_registry.py::test_read_format_noreader PASSED astropy/io/tests/test_registry.py::test_write_format_nowriter PASSED astropy/io/tests/test_registry.py::test_read_identifier PASSED astropy/io/tests/test_registry.py::test_write_identifier PASSED astropy/io/tests/test_registry.py::test_identifier_origin PASSED astropy/io/tests/test_registry.py::test_read_valid_return PASSED astropy/io/tests/test_registry.py::test_read_invalid_return PASSED astropy/io/tests/test_registry.py::test_non_existing_unknown_ext PASSED astropy/io/tests/test_registry.py::test_read_basic_table PASSED astropy/io/tests/test_registry.py::test_register_readers_with_same_name_on_different_classes PASSED astropy/io/tests/test_registry.py::TestSubclass::test_read_table_subclass PASSED astropy/io/tests/test_registry.py::TestSubclass::test_write_table_subclass PASSED astropy/io/votable/tests/converter_test.py::test_invalid_arraysize PASSED astropy/io/votable/tests/converter_test.py::test_oversize_char PASSED astropy/io/votable/tests/converter_test.py::test_char_mask PASSED astropy/io/votable/tests/converter_test.py::test_oversize_unicode PASSED astropy/io/votable/tests/converter_test.py::test_unicode_mask PASSED astropy/io/votable/tests/converter_test.py::test_wrong_number_of_elements PASSED astropy/io/votable/tests/converter_test.py::test_float_mask PASSED astropy/io/votable/tests/converter_test.py::test_float_mask_permissive PASSED astropy/io/votable/tests/converter_test.py::test_complex_array_vararray PASSED astropy/io/votable/tests/converter_test.py::test_complex_array_vararray2 PASSED astropy/io/votable/tests/converter_test.py::test_complex_array_vararray3 PASSED astropy/io/votable/tests/converter_test.py::test_complex_vararray PASSED astropy/io/votable/tests/converter_test.py::test_complex PASSED astropy/io/votable/tests/converter_test.py::test_bit PASSED astropy/io/votable/tests/converter_test.py::test_bit_mask PASSED astropy/io/votable/tests/converter_test.py::test_boolean PASSED astropy/io/votable/tests/converter_test.py::test_boolean_array PASSED astropy/io/votable/tests/converter_test.py::test_invalid_type PASSED astropy/io/votable/tests/converter_test.py::test_precision PASSED astropy/io/votable/tests/converter_test.py::test_integer_overflow PASSED astropy/io/votable/tests/converter_test.py::test_float_default_precision PASSED astropy/io/votable/tests/converter_test.py::test_vararray PASSED astropy/io/votable/tests/converter_test.py::test_gemini_v1_2 PASSED astropy/io/votable/tests/exception_test.py::test_reraise PASSED astropy/io/votable/tests/exception_test.py::test_parse_vowarning PASSED astropy/io/votable/tests/table_test.py::test_table PASSED astropy/io/votable/tests/table_test.py::test_read_through_table_interface PASSED astropy/io/votable/tests/table_test.py::test_read_through_table_interface2 PASSED astropy/io/votable/tests/table_test.py::test_names_over_ids PASSED astropy/io/votable/tests/table_test.py::test_table_read_with_unnamed_tables PASSED astropy/io/votable/tests/table_test.py::test_votable_path_object PASSED astropy/io/votable/tests/table_test.py::test_from_table_without_mask PASSED astropy/io/votable/tests/table_test.py::test_write_with_format PASSED astropy/io/votable/tests/table_test.py::test_empty_table PASSED astropy/io/votable/tests/tree_test.py::test_check_astroyear_fail PASSED astropy/io/votable/tests/tree_test.py::test_string_fail PASSED astropy/io/votable/tests/tree_test.py::test_make_Fields PASSED astropy/io/votable/tests/ucd_test.py::test_none PASSED astropy/io/votable/tests/ucd_test.py::test_check PASSED astropy/io/votable/tests/ucd_test.py::test_too_many_colons PASSED astropy/io/votable/tests/ucd_test.py::test_invalid_namespace PASSED astropy/io/votable/tests/ucd_test.py::test_invalid_word PASSED astropy/io/votable/tests/util_test.py::test_range_list PASSED astropy/io/votable/tests/util_test.py::test_range_list2 PASSED astropy/io/votable/tests/util_test.py::test_range_list3 PASSED astropy/io/votable/tests/util_test.py::test_range_list4a PASSED astropy/io/votable/tests/util_test.py::test_range_list4 PASSED astropy/io/votable/tests/util_test.py::test_range_list5 PASSED astropy/io/votable/tests/util_test.py::test_range_list6 PASSED astropy/io/votable/tests/util_test.py::test_range_list7 PASSED astropy/io/votable/tests/util_test.py::test_range_list8 PASSED astropy/io/votable/tests/util_test.py::test_range_list9a PASSED astropy/io/votable/tests/util_test.py::test_range_list9 PASSED astropy/io/votable/tests/vo_test.py::test_parse_single_table PASSED astropy/io/votable/tests/vo_test.py::test_parse_single_table2 PASSED astropy/io/votable/tests/vo_test.py::test_parse_single_table3 PASSED astropy/io/votable/tests/vo_test.py::test_regression PASSED astropy/io/votable/tests/vo_test.py::test_regression_python_based_parser PASSED astropy/io/votable/tests/vo_test.py::test_regression_binary2 PASSED astropy/io/votable/tests/vo_test.py::TestFixups::test_implicit_id PASSED astropy/io/votable/tests/vo_test.py::TestReferences::test_fieldref PASSED astropy/io/votable/tests/vo_test.py::TestReferences::test_paramref PASSED astropy/io/votable/tests/vo_test.py::TestReferences::test_iter_fields_and_params_on_a_group PASSED astropy/io/votable/tests/vo_test.py::TestReferences::test_iter_groups_on_a_group PASSED astropy/io/votable/tests/vo_test.py::TestReferences::test_iter_groups PASSED astropy/io/votable/tests/vo_test.py::TestReferences::test_ref_table PASSED astropy/io/votable/tests/vo_test.py::TestReferences::test_iter_coosys PASSED astropy/io/votable/tests/vo_test.py::test_select_columns_by_index PASSED astropy/io/votable/tests/vo_test.py::test_select_columns_by_name PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_string_test PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_fixed_string_test PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_unicode_test PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_fixed_unicode_test PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_unsignedByte PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_short PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_int PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_long PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_double PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_float PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_array PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_bit PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_bit_mask PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_bitarray PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_bitarray_mask PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_bitvararray PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_bitvararray2 PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_floatComplex PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_doubleComplex PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_doubleComplexArray PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_boolean PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_boolean_mask PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_boolean_array PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_boolean_array_mask PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_nulls PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_nulls_array PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_double_array PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_bit_array2 PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_bit_array2_mask PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_get_coosys_by_id PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_get_field_by_utype PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_get_info_by_id PASSED astropy/io/votable/tests/vo_test.py::TestParse::test_repr PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_string_test PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_fixed_string_test PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_unicode_test PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_fixed_unicode_test PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_unsignedByte PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_short PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_int PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_long PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_double PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_float PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_array PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_bit PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_bitarray PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_bitvararray PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_bitvararray2 PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_floatComplex PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_doubleComplex PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_doubleComplexArray PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_boolean PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_boolean_mask PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_boolean_array PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_boolean_array_mask PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_nulls PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_nulls_array PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_double_array PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_bit_array2 PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_get_coosys_by_id PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_get_field_by_utype PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_get_info_by_id PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_repr PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_bit_mask PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_bitarray_mask PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_bit_array2_mask PASSED astropy/io/votable/tests/vo_test.py::TestThroughTableData::test_schema PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_string_test PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_fixed_string_test PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_unicode_test PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_fixed_unicode_test PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_unsignedByte PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_short PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_int PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_long PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_double PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_float PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_array PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_bit PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_bitarray PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_bitvararray PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_bitvararray2 PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_floatComplex PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_doubleComplex PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_doubleComplexArray PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_boolean PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_boolean_mask PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_boolean_array PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_boolean_array_mask PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_nulls PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_nulls_array PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_double_array PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_bit_array2 PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_get_coosys_by_id PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_get_field_by_utype PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_get_info_by_id PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_repr PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_bit_mask PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_bitarray_mask PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary::test_bit_array2_mask PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_string_test PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_fixed_string_test PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_unicode_test PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_fixed_unicode_test PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_unsignedByte PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_short PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_int PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_long PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_double PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_float PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_array PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_bit PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_bit_mask PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_bitarray PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_bitarray_mask PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_bitvararray PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_bitvararray2 PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_floatComplex PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_doubleComplex PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_doubleComplexArray PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_boolean PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_boolean_mask PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_boolean_array PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_boolean_array_mask PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_nulls PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_nulls_array PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_double_array PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_bit_array2 PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_bit_array2_mask PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_get_field_by_utype PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_get_info_by_id PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_repr PASSED astropy/io/votable/tests/vo_test.py::TestThroughBinary2::test_get_coosys_by_id PASSED astropy/io/votable/tests/vo_test.py::test_open_files PASSED astropy/io/votable/tests/vo_test.py::test_too_many_columns PASSED astropy/io/votable/tests/vo_test.py::test_build_from_scratch PASSED astropy/io/votable/tests/vo_test.py::test_validate PASSED astropy/io/votable/tests/vo_test.py::test_validate_path_object PASSED astropy/io/votable/tests/vo_test.py::test_gzip_filehandles PASSED astropy/io/votable/tests/vo_test.py::test_from_scratch_example PASSED astropy/io/votable/tests/vo_test.py::test_fileobj PASSED astropy/io/votable/tests/vo_test.py::test_nonstandard_units PASSED astropy/io/votable/tests/vo_test.py::test_resource_structure PASSED astropy/io/votable/tests/vo_test.py::test_no_resource_check PASSED astropy/io/votable/tests/vo_test.py::test_instantiate_vowarning PASSED astropy/io/votable/tests/vo_test.py::test_custom_datatype PASSED astropy/modeling/blackbody.py::astropy.modeling.blackbody PASSED astropy/modeling/blackbody.py::astropy.modeling.blackbody.BlackBody1D PASSED astropy/modeling/core.py::astropy.modeling.core.Model PASSED astropy/modeling/core.py::astropy.modeling.core.Model.bounding_box PASSED astropy/modeling/core.py::astropy.modeling.core._CompoundModelMeta._init_param_descriptors SKIPPED astropy/modeling/core.py::astropy.modeling.core._ModelMeta.rename PASSED astropy/modeling/core.py::astropy.modeling.core.custom_model PASSED astropy/modeling/functional_models.py::astropy.modeling.functional_models.Gaussian1D PASSED astropy/modeling/mappings.py::astropy.modeling.mappings.Identity PASSED astropy/modeling/mappings.py::astropy.modeling.mappings.Mapping PASSED astropy/modeling/parameters.py::astropy.modeling.parameters.Parameter.validator PASSED astropy/modeling/tabular.py::astropy.modeling.tabular PASSED astropy/modeling/tabular.py::astropy.modeling.tabular._Tabular._bounding_box PASSED astropy/modeling/tabular.py::astropy.modeling.tabular.tabular_model PASSED astropy/modeling/utils.py::astropy.modeling.utils.AliasDict PASSED astropy/modeling/utils.py::astropy.modeling.utils.make_binary_operator_eval PASSED astropy/modeling/tests/test_blackbody.py::TestBlackbody1D::test_evaluate[temperature0] PASSED astropy/modeling/tests/test_blackbody.py::TestBlackbody1D::test_evaluate[temperature1] PASSED astropy/modeling/tests/test_blackbody.py::TestBlackbody1D::test_fit PASSED astropy/modeling/tests/test_blackbody.py::test_blackbody_scipy PASSED astropy/modeling/tests/test_blackbody.py::test_blackbody_overflow PASSED astropy/modeling/tests/test_blackbody.py::test_blackbody_synphot PASSED astropy/modeling/tests/test_blackbody.py::test_blackbody_exceptions_and_warnings PASSED astropy/modeling/tests/test_blackbody.py::test_blackbody_array_temperature PASSED astropy/modeling/tests/test_compound.py::test_two_model_class_arithmetic_1d[expr0-5.0] PASSED astropy/modeling/tests/test_compound.py::test_two_model_class_arithmetic_1d[expr1--1.0] PASSED astropy/modeling/tests/test_compound.py::test_two_model_class_arithmetic_1d[expr2-6.0] PASSED astropy/modeling/tests/test_compound.py::test_two_model_class_arithmetic_1d[expr3-0.6666666666666666] PASSED astropy/modeling/tests/test_compound.py::test_two_model_class_arithmetic_1d[expr4-8.0] PASSED astropy/modeling/tests/test_compound.py::test_model_set[expr0-result0] PASSED astropy/modeling/tests/test_compound.py::test_model_set[expr1-result1] PASSED astropy/modeling/tests/test_compound.py::test_model_set[expr2-result2] PASSED astropy/modeling/tests/test_compound.py::test_model_set[expr3-result3] PASSED astropy/modeling/tests/test_compound.py::test_model_set[expr4-result4] PASSED astropy/modeling/tests/test_compound.py::test_model_set_raises_value_error[expr0-result0] PASSED astropy/modeling/tests/test_compound.py::test_model_set_raises_value_error[expr1-result1] PASSED astropy/modeling/tests/test_compound.py::test_model_set_raises_value_error[expr2-result2] PASSED astropy/modeling/tests/test_compound.py::test_model_set_raises_value_error[expr3-result3] PASSED astropy/modeling/tests/test_compound.py::test_model_set_raises_value_error[expr4-result4] PASSED astropy/modeling/tests/test_compound.py::test_two_model_instance_arithmetic_1d[expr0-5.0] PASSED astropy/modeling/tests/test_compound.py::test_two_model_instance_arithmetic_1d[expr1--1.0] PASSED astropy/modeling/tests/test_compound.py::test_two_model_instance_arithmetic_1d[expr2-6.0] PASSED astropy/modeling/tests/test_compound.py::test_two_model_instance_arithmetic_1d[expr3-0.6666666666666666] PASSED astropy/modeling/tests/test_compound.py::test_two_model_instance_arithmetic_1d[expr4-8.0] PASSED astropy/modeling/tests/test_compound.py::test_two_model_mixed_arithmetic_1d[expr0-5.0] PASSED astropy/modeling/tests/test_compound.py::test_two_model_mixed_arithmetic_1d[expr1--1.0] PASSED astropy/modeling/tests/test_compound.py::test_two_model_mixed_arithmetic_1d[expr2-6.0] PASSED astropy/modeling/tests/test_compound.py::test_two_model_mixed_arithmetic_1d[expr3-0.6666666666666666] PASSED astropy/modeling/tests/test_compound.py::test_two_model_mixed_arithmetic_1d[expr4-8.0] PASSED astropy/modeling/tests/test_compound.py::test_simple_two_model_class_compose_1d PASSED astropy/modeling/tests/test_compound.py::test_simple_two_model_class_compose_2d PASSED astropy/modeling/tests/test_compound.py::test_n_submodels PASSED astropy/modeling/tests/test_compound.py::test_expression_formatting PASSED astropy/modeling/tests/test_compound.py::test_indexing_on_class PASSED astropy/modeling/tests/test_compound.py::test_slicing_on_class PASSED astropy/modeling/tests/test_compound.py::test_slicing_on_instance PASSED astropy/modeling/tests/test_compound.py::test_indexing_on_instance PASSED astropy/modeling/tests/test_compound.py::test_basic_compound_inverse PASSED astropy/modeling/tests/test_compound.py::test_compound_unsupported_inverse[model0] PASSED astropy/modeling/tests/test_compound.py::test_compound_unsupported_inverse[model1] PASSED astropy/modeling/tests/test_compound.py::test_compound_unsupported_inverse[model2] PASSED astropy/modeling/tests/test_compound.py::test_compound_unsupported_inverse[model3] PASSED astropy/modeling/tests/test_compound.py::test_compound_unsupported_inverse[model4] PASSED astropy/modeling/tests/test_compound.py::test_compound_unsupported_inverse[model5] PASSED astropy/modeling/tests/test_compound.py::test_mapping_basic_permutations PASSED astropy/modeling/tests/test_compound.py::test_mapping_inverse PASSED astropy/modeling/tests/test_compound.py::test_identity_input PASSED astropy/modeling/tests/test_compound.py::test_slicing_on_instances_2 PASSED astropy/modeling/tests/test_compound.py::test_slicing_on_instances_3 PASSED astropy/modeling/tests/test_compound.py::test_slicing_on_instance_with_parameterless_model PASSED astropy/modeling/tests/test_compound.py::test_compound_model_with_nonstandard_broadcasting PASSED astropy/modeling/tests/test_compound.py::test_compound_model_classify_attributes PASSED astropy/modeling/tests/test_compound.py::test_invalid_operands PASSED astropy/modeling/tests/test_compound.py::test_inherit_constraints[model0] PASSED astropy/modeling/tests/test_compound.py::test_inherit_constraints[model1] PASSED astropy/modeling/tests/test_compound.py::test_compound_custom_inverse PASSED astropy/modeling/tests/test_compound.py::test_compound_with_polynomials[poly0] PASSED astropy/modeling/tests/test_compound.py::test_compound_with_polynomials[poly1] PASSED astropy/modeling/tests/test_compound.py::test_compound_with_polynomials[poly2] PASSED astropy/modeling/tests/test_compound.py::test_compound_with_polynomials[poly3] PASSED astropy/modeling/tests/test_compound.py::test_compound_with_polynomials[poly4] PASSED astropy/modeling/tests/test_compound.py::test_compound_with_polynomials[poly5] PASSED astropy/modeling/tests/test_compound.py::test_pickle_compound PASSED astropy/modeling/tests/test_compound.py::test_pickle_compound_fallback SKIPPED astropy/modeling/tests/test_compound.py::test_update_parameters PASSED astropy/modeling/tests/test_compound.py::test_name PASSED astropy/modeling/tests/test_constraints.py::TestNonLinearConstraints::test_fixed_par PASSED astropy/modeling/tests/test_constraints.py::TestNonLinearConstraints::test_tied_par PASSED astropy/modeling/tests/test_constraints.py::TestNonLinearConstraints::test_joint_fitter PASSED astropy/modeling/tests/test_constraints.py::TestNonLinearConstraints::test_no_constraints PASSED astropy/modeling/tests/test_constraints.py::TestBounds::test_bounds_lsq PASSED astropy/modeling/tests/test_constraints.py::TestBounds::test_bounds_slsqp PASSED astropy/modeling/tests/test_constraints.py::TestBounds::test_bounds_gauss2d_lsq PASSED astropy/modeling/tests/test_constraints.py::TestBounds::test_bounds_gauss2d_slsqp PASSED astropy/modeling/tests/test_constraints.py::TestLinearConstraints::test PASSED astropy/modeling/tests/test_constraints.py::test_set_fixed_1 PASSED astropy/modeling/tests/test_constraints.py::test_set_fixed_2 PASSED astropy/modeling/tests/test_constraints.py::test_set_tied_1 PASSED astropy/modeling/tests/test_constraints.py::test_set_tied_2 PASSED astropy/modeling/tests/test_constraints.py::test_unset_fixed PASSED astropy/modeling/tests/test_constraints.py::test_unset_tied PASSED astropy/modeling/tests/test_constraints.py::test_set_bounds_1 PASSED astropy/modeling/tests/test_constraints.py::test_set_bounds_2 PASSED astropy/modeling/tests/test_constraints.py::test_unset_bounds PASSED astropy/modeling/tests/test_constraints.py::test_default_constraints PASSED astropy/modeling/tests/test_constraints.py::test_fit_with_fixed_and_bound_constraints PASSED astropy/modeling/tests/test_constraints.py::test_fit_with_bound_constraints_estimate_jacobian PASSED astropy/modeling/tests/test_constraints.py::test_gaussian2d_positive_stddev PASSED astropy/modeling/tests/test_core.py::test_Model_instance_repr_and_str PASSED astropy/modeling/tests/test_core.py::test_Model_array_parameter PASSED astropy/modeling/tests/test_core.py::test_inputless_model PASSED astropy/modeling/tests/test_core.py::test_ParametericModel PASSED astropy/modeling/tests/test_core.py::test_custom_model_signature PASSED astropy/modeling/tests/test_core.py::test_custom_model_subclass PASSED astropy/modeling/tests/test_core.py::test_custom_model_parametrized_decorator PASSED astropy/modeling/tests/test_core.py::test_custom_inverse PASSED astropy/modeling/tests/test_core.py::test_custom_inverse_reset PASSED astropy/modeling/tests/test_core.py::test_render_model_2d PASSED astropy/modeling/tests/test_core.py::test_render_model_1d PASSED astropy/modeling/tests/test_core.py::test_render_model_3d PASSED astropy/modeling/tests/test_core.py::test_custom_bounding_box_1d PASSED astropy/modeling/tests/test_core.py::test_n_submodels_in_single_models PASSED astropy/modeling/tests/test_fitters.py::TestPolynomial2D::test_poly2D_fitting PASSED astropy/modeling/tests/test_fitters.py::TestPolynomial2D::test_eval PASSED astropy/modeling/tests/test_fitters.py::TestPolynomial2D::test_polynomial2D_nonlinear_fitting PASSED astropy/modeling/tests/test_fitters.py::TestICheb2D::test_default_params PASSED astropy/modeling/tests/test_fitters.py::TestICheb2D::test_poly2D_cheb2D PASSED astropy/modeling/tests/test_fitters.py::TestICheb2D::test_chebyshev2D_nonlinear_fitting PASSED astropy/modeling/tests/test_fitters.py::TestICheb2D::test_chebyshev2D_nonlinear_fitting_with_weights PASSED astropy/modeling/tests/test_fitters.py::TestJointFitter::test_joint_parameter PASSED astropy/modeling/tests/test_fitters.py::TestJointFitter::test_joint_fitter PASSED astropy/modeling/tests/test_fitters.py::TestLinearLSQFitter::test_chebyshev1D PASSED astropy/modeling/tests/test_fitters.py::TestLinearLSQFitter::test_linear_fit_model_set PASSED astropy/modeling/tests/test_fitters.py::TestLinearLSQFitter::test_linear_fit_2d_model_set PASSED astropy/modeling/tests/test_fitters.py::TestLinearLSQFitter::test_linear_fit_fixed_parameter PASSED astropy/modeling/tests/test_fitters.py::TestLinearLSQFitter::test_linear_fit_model_set_fixed_parameter PASSED astropy/modeling/tests/test_fitters.py::TestLinearLSQFitter::test_linear_fit_2d_model_set_fixed_parameters PASSED astropy/modeling/tests/test_fitters.py::TestNonLinearFitters::test_estimated_vs_analytic_deriv PASSED astropy/modeling/tests/test_fitters.py::TestNonLinearFitters::test_estimated_vs_analytic_deriv_with_weights PASSED astropy/modeling/tests/test_fitters.py::TestNonLinearFitters::test_with_optimize PASSED astropy/modeling/tests/test_fitters.py::TestNonLinearFitters::test_with_weights PASSED astropy/modeling/tests/test_fitters.py::TestNonLinearFitters::test_fitter_against_LevMar[SimplexLSQFitter] PASSED astropy/modeling/tests/test_fitters.py::TestNonLinearFitters::test_fitter_against_LevMar[SLSQPLSQFitter] PASSED astropy/modeling/tests/test_fitters.py::TestNonLinearFitters::test_LSQ_SLSQP_with_constraints PASSED astropy/modeling/tests/test_fitters.py::TestNonLinearFitters::test_simplex_lsq_fitter PASSED astropy/modeling/tests/test_fitters.py::TestNonLinearFitters::test_param_cov PASSED astropy/modeling/tests/test_fitters.py::TestEntryPoint::test_working PASSED astropy/modeling/tests/test_fitters.py::TestEntryPoint::test_import_error PASSED astropy/modeling/tests/test_fitters.py::TestEntryPoint::test_bad_func PASSED astropy/modeling/tests/test_fitters.py::TestEntryPoint::test_bad_class PASSED astropy/modeling/tests/test_fitters.py::Test1DFittingWithOutlierRemoval::test_with_fitters_and_sigma_clip PASSED astropy/modeling/tests/test_fitters.py::Test2DFittingWithOutlierRemoval::test_with_fitters_and_sigma_clip PASSED astropy/modeling/tests/test_fitters.py::test_fitters_with_weights PASSED astropy/modeling/tests/test_fitters.py::test_fitters_interface PASSED astropy/modeling/tests/test_functional_models.py::test_Trapezoid1D PASSED astropy/modeling/tests/test_functional_models.py::test_GaussianAbsorption1D PASSED astropy/modeling/tests/test_functional_models.py::test_Gaussian2D PASSED astropy/modeling/tests/test_functional_models.py::test_Gaussian2DCovariance PASSED astropy/modeling/tests/test_functional_models.py::test_Gaussian2DRotation PASSED astropy/modeling/tests/test_functional_models.py::test_Gaussian2D_invalid_inputs PASSED astropy/modeling/tests/test_functional_models.py::test_moffat_fwhm PASSED astropy/modeling/tests/test_functional_models.py::test_RedshiftScaleFactor PASSED astropy/modeling/tests/test_functional_models.py::test_Ellipse2D PASSED astropy/modeling/tests/test_functional_models.py::test_Ellipse2D_circular PASSED astropy/modeling/tests/test_functional_models.py::test_Scale_inverse PASSED astropy/modeling/tests/test_functional_models.py::test_Shift_inverse PASSED astropy/modeling/tests/test_functional_models.py::test_Shift_model_levmar_fit PASSED astropy/modeling/tests/test_functional_models.py::test_Shift_model_set_linear_fit PASSED astropy/modeling/tests/test_functional_models.py::test_Scale_model_set_linear_fit PASSED astropy/modeling/tests/test_functional_models.py::test_Ring2D_rout PASSED astropy/modeling/tests/test_functional_models.py::test_Voigt1D PASSED astropy/modeling/tests/test_functional_models.py::test_compound_models_with_class_variables PASSED astropy/modeling/tests/test_input.py::TestInputType::test_input1D[Polynomial1D-params0] PASSED astropy/modeling/tests/test_input.py::TestInputType::test_input1D[Legendre1D-params1] PASSED astropy/modeling/tests/test_input.py::TestInputType::test_input1D[Chebyshev1D-params2] PASSED astropy/modeling/tests/test_input.py::TestInputType::test_input1D[Shift-params3] PASSED astropy/modeling/tests/test_input.py::TestInputType::test_input1D[Scale-params4] PASSED astropy/modeling/tests/test_input.py::TestInputType::test_input2D[Polynomial2D-params0] PASSED astropy/modeling/tests/test_input.py::TestInputType::test_input2D[Legendre2D-params1] PASSED astropy/modeling/tests/test_input.py::TestInputType::test_input2D[Chebyshev2D-params2] PASSED astropy/modeling/tests/test_input.py::TestFitting::test_linear_fitter_1set PASSED astropy/modeling/tests/test_input.py::TestFitting::test_linear_fitter_Nset PASSED astropy/modeling/tests/test_input.py::TestFitting::test_linear_fitter_1dcheb PASSED astropy/modeling/tests/test_input.py::TestFitting::test_linear_fitter_1dlegend PASSED astropy/modeling/tests/test_input.py::TestFitting::test_linear_fitter_1set2d PASSED astropy/modeling/tests/test_input.py::TestFitting::test_wrong_numpset PASSED astropy/modeling/tests/test_input.py::TestFitting::test_wrong_pset PASSED astropy/modeling/tests/test_input.py::TestFitting::test_nonlinear_lsqt_1set_1d PASSED astropy/modeling/tests/test_input.py::TestFitting::test_nonlinear_lsqt_Nset_1d PASSED astropy/modeling/tests/test_input.py::TestFitting::test_nonlinear_lsqt_1set_2d PASSED astropy/modeling/tests/test_input.py::TestFitting::test_nonlinear_lsqt_Nset_2d PASSED astropy/modeling/tests/test_input.py::TestEvaluation::test_non_linear_NYset PASSED astropy/modeling/tests/test_input.py::TestEvaluation::test_non_linear_NXYset PASSED astropy/modeling/tests/test_input.py::TestEvaluation::test_p1_1set_1pset PASSED astropy/modeling/tests/test_input.py::TestEvaluation::test_p1_nset_npset PASSED astropy/modeling/tests/test_input.py::TestEvaluation::test_p2_1set_1pset PASSED astropy/modeling/tests/test_input.py::TestEvaluation::test_p2_nset_npset PASSED astropy/modeling/tests/test_input.py::TestEvaluation::test_nset_domain PASSED astropy/modeling/tests/test_input.py::TestEvaluation::test_evaluate_gauss2d PASSED astropy/modeling/tests/test_input.py::TestSingleInputSingleOutputSingleModel::test_scalar_parameters_scalar_input PASSED astropy/modeling/tests/test_input.py::TestSingleInputSingleOutputSingleModel::test_scalar_parameters_1d_array_input PASSED astropy/modeling/tests/test_input.py::TestSingleInputSingleOutputSingleModel::test_scalar_parameters_2d_array_input PASSED astropy/modeling/tests/test_input.py::TestSingleInputSingleOutputSingleModel::test_scalar_parameters_3d_array_input PASSED astropy/modeling/tests/test_input.py::TestSingleInputSingleOutputSingleModel::test_1d_array_parameters_scalar_input PASSED astropy/modeling/tests/test_input.py::TestSingleInputSingleOutputSingleModel::test_1d_array_parameters_1d_array_input PASSED astropy/modeling/tests/test_input.py::TestSingleInputSingleOutputSingleModel::test_2d_array_parameters_2d_array_input PASSED astropy/modeling/tests/test_input.py::TestSingleInputSingleOutputSingleModel::test_mixed_array_parameters_1d_array_input PASSED astropy/modeling/tests/test_input.py::TestSingleInputSingleOutputTwoModel::test_scalar_parameters_scalar_input PASSED astropy/modeling/tests/test_input.py::TestSingleInputSingleOutputTwoModel::test_scalar_parameters_1d_array_input PASSED astropy/modeling/tests/test_input.py::TestSingleInputSingleOutputTwoModel::test_scalar_parameters_2d_array_input PASSED astropy/modeling/tests/test_input.py::TestSingleInputSingleOutputTwoModel::test_scalar_parameters_3d_array_input PASSED astropy/modeling/tests/test_input.py::TestSingleInputSingleOutputTwoModel::test_1d_array_parameters_scalar_input PASSED astropy/modeling/tests/test_input.py::TestSingleInputSingleOutputTwoModel::test_1d_array_parameters_1d_array_input PASSED astropy/modeling/tests/test_input.py::TestSingleInputSingleOutputTwoModel::test_2d_array_parameters_2d_array_input PASSED astropy/modeling/tests/test_input.py::TestSingleInputSingleOutputTwoModel::test_mixed_array_parameters_1d_array_input PASSED astropy/modeling/tests/test_input.py::TestSingleInputDoubleOutputSingleModel::test_scalar_parameters_scalar_input PASSED astropy/modeling/tests/test_input.py::TestSingleInputDoubleOutputSingleModel::test_scalar_parameters_1d_array_input PASSED astropy/modeling/tests/test_input.py::TestSingleInputDoubleOutputSingleModel::test_scalar_parameters_2d_array_input PASSED astropy/modeling/tests/test_input.py::TestSingleInputDoubleOutputSingleModel::test_scalar_parameters_3d_array_input PASSED astropy/modeling/tests/test_input.py::TestSingleInputDoubleOutputSingleModel::test_1d_array_parameters_scalar_input PASSED astropy/modeling/tests/test_input.py::TestSingleInputDoubleOutputSingleModel::test_1d_array_parameters_1d_array_input PASSED astropy/modeling/tests/test_input.py::TestSingleInputDoubleOutputSingleModel::test_2d_array_parameters_2d_array_input PASSED astropy/modeling/tests/test_input.py::TestSingleInputDoubleOutputSingleModel::test_mixed_array_parameters_1d_array_input PASSED astropy/modeling/tests/test_input.py::test_format_input_scalars PASSED astropy/modeling/tests/test_input.py::test_format_input_arrays PASSED astropy/modeling/tests/test_input.py::test_format_input_arrays_transposed PASSED astropy/modeling/tests/test_mappings.py::test_swap_axes PASSED astropy/modeling/tests/test_mappings.py::test_duplicate_axes PASSED astropy/modeling/tests/test_mappings.py::test_drop_axes_1 PASSED astropy/modeling/tests/test_mappings.py::test_drop_axes_2 PASSED astropy/modeling/tests/test_mappings.py::test_drop_axes_3 PASSED astropy/modeling/tests/test_mappings.py::test_identity PASSED astropy/modeling/tests/test_mappings.py::test_fittable_compound PASSED astropy/modeling/tests/test_models.py::test_custom_model PASSED astropy/modeling/tests/test_models.py::test_custom_model_init PASSED astropy/modeling/tests/test_models.py::test_custom_model_defaults PASSED astropy/modeling/tests/test_models.py::test_custom_model_bounding_box PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_input1D[Box1D-test_parameters0] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_input1D[Const1D-test_parameters1] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_input1D[Gaussian1D-test_parameters2] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_input1D[Linear1D-test_parameters3] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_input1D[Lorentz1D-test_parameters4] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_input1D[MexicanHat1D-test_parameters5] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_input1D[Moffat1D-test_parameters6] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_input1D[Sersic1D-test_parameters7] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_input1D[Sine1D-test_parameters8] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_input1D[Trapezoid1D-test_parameters9] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_input1D[Voigt1D-test_parameters10] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_input1D[Polynomial1D-test_parameters11] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_input1D[BrokenPowerLaw1D-test_parameters12] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_input1D[ExponentialCutoffPowerLaw1D-test_parameters13] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_input1D[LogParabola1D-test_parameters14] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_input1D[PowerLaw1D-test_parameters15] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_input1D[SmoothlyBrokenPowerLaw1D-test_parameters16] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_eval1D[Box1D-test_parameters0] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_eval1D[Const1D-test_parameters1] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_eval1D[Gaussian1D-test_parameters2] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_eval1D[Linear1D-test_parameters3] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_eval1D[Lorentz1D-test_parameters4] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_eval1D[MexicanHat1D-test_parameters5] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_eval1D[Moffat1D-test_parameters6] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_eval1D[Sersic1D-test_parameters7] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_eval1D[Sine1D-test_parameters8] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_eval1D[Trapezoid1D-test_parameters9] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_eval1D[Voigt1D-test_parameters10] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_eval1D[Polynomial1D-test_parameters11] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_eval1D[BrokenPowerLaw1D-test_parameters12] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_eval1D[ExponentialCutoffPowerLaw1D-test_parameters13] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_eval1D[LogParabola1D-test_parameters14] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_eval1D[PowerLaw1D-test_parameters15] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_eval1D[SmoothlyBrokenPowerLaw1D-test_parameters16] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_bounding_box1D[Box1D-test_parameters0] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_bounding_box1D[Const1D-test_parameters1] SKIPPED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_bounding_box1D[Gaussian1D-test_parameters2] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_bounding_box1D[Linear1D-test_parameters3] SKIPPED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_bounding_box1D[Lorentz1D-test_parameters4] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_bounding_box1D[MexicanHat1D-test_parameters5] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_bounding_box1D[Moffat1D-test_parameters6] SKIPPED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_bounding_box1D[Sersic1D-test_parameters7] SKIPPED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_bounding_box1D[Sine1D-test_parameters8] SKIPPED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_bounding_box1D[Trapezoid1D-test_parameters9] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_bounding_box1D[Voigt1D-test_parameters10] SKIPPED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_bounding_box1D[Polynomial1D-test_parameters11] SKIPPED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_bounding_box1D[BrokenPowerLaw1D-test_parameters12] SKIPPED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_bounding_box1D[ExponentialCutoffPowerLaw1D-test_parameters13] SKIPPED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_bounding_box1D[LogParabola1D-test_parameters14] SKIPPED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_bounding_box1D[PowerLaw1D-test_parameters15] SKIPPED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_bounding_box1D[SmoothlyBrokenPowerLaw1D-test_parameters16] SKIPPED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_fitter1D[Box1D-test_parameters0] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_fitter1D[Const1D-test_parameters1] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_fitter1D[Gaussian1D-test_parameters2] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_fitter1D[Linear1D-test_parameters3] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_fitter1D[Lorentz1D-test_parameters4] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_fitter1D[MexicanHat1D-test_parameters5] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_fitter1D[Moffat1D-test_parameters6] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_fitter1D[Sersic1D-test_parameters7] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_fitter1D[Sine1D-test_parameters8] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_fitter1D[Trapezoid1D-test_parameters9] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_fitter1D[Voigt1D-test_parameters10] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_fitter1D[Polynomial1D-test_parameters11] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_fitter1D[BrokenPowerLaw1D-test_parameters12] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_fitter1D[ExponentialCutoffPowerLaw1D-test_parameters13] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_fitter1D[LogParabola1D-test_parameters14] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_fitter1D[PowerLaw1D-test_parameters15] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_fitter1D[SmoothlyBrokenPowerLaw1D-test_parameters16] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_deriv_1D[Box1D-test_parameters0] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_deriv_1D[Const1D-test_parameters1] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_deriv_1D[Gaussian1D-test_parameters2] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_deriv_1D[Linear1D-test_parameters3] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_deriv_1D[Lorentz1D-test_parameters4] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_deriv_1D[MexicanHat1D-test_parameters5] SKIPPED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_deriv_1D[Moffat1D-test_parameters6] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_deriv_1D[Sersic1D-test_parameters7] SKIPPED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_deriv_1D[Sine1D-test_parameters8] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_deriv_1D[Trapezoid1D-test_parameters9] SKIPPED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_deriv_1D[Voigt1D-test_parameters10] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_deriv_1D[Polynomial1D-test_parameters11] SKIPPED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_deriv_1D[BrokenPowerLaw1D-test_parameters12] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_deriv_1D[ExponentialCutoffPowerLaw1D-test_parameters13] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_deriv_1D[LogParabola1D-test_parameters14] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_deriv_1D[PowerLaw1D-test_parameters15] PASSED astropy/modeling/tests/test_models.py::TestFittable1DModels::test_deriv_1D[SmoothlyBrokenPowerLaw1D-test_parameters16] PASSED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_input2D[AiryDisk2D-test_parameters0] PASSED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_input2D[Box2D-test_parameters1] PASSED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_input2D[Const2D-test_parameters2] PASSED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_input2D[Disk2D-test_parameters3] PASSED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_input2D[Gaussian2D-test_parameters4] PASSED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_input2D[MexicanHat2D-test_parameters5] PASSED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_input2D[Moffat2D-test_parameters6] PASSED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_input2D[Planar2D-test_parameters7] PASSED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_input2D[Ring2D-test_parameters8] PASSED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_input2D[Sersic2D-test_parameters9] PASSED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_input2D[TrapezoidDisk2D-test_parameters10] PASSED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_input2D[Polynomial2D-test_parameters11] PASSED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_eval2D[AiryDisk2D-test_parameters0] PASSED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_eval2D[Box2D-test_parameters1] PASSED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_eval2D[Const2D-test_parameters2] PASSED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_eval2D[Disk2D-test_parameters3] PASSED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_eval2D[Gaussian2D-test_parameters4] PASSED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_eval2D[MexicanHat2D-test_parameters5] PASSED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_eval2D[Moffat2D-test_parameters6] PASSED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_eval2D[Planar2D-test_parameters7] PASSED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_eval2D[Ring2D-test_parameters8] PASSED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_eval2D[Sersic2D-test_parameters9] PASSED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_eval2D[TrapezoidDisk2D-test_parameters10] PASSED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_eval2D[Polynomial2D-test_parameters11] PASSED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_bounding_box2D[AiryDisk2D-test_parameters0] SKIPPED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_bounding_box2D[Box2D-test_parameters1] PASSED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_bounding_box2D[Const2D-test_parameters2] SKIPPED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_bounding_box2D[Disk2D-test_parameters3] PASSED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_bounding_box2D[Gaussian2D-test_parameters4] PASSED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_bounding_box2D[MexicanHat2D-test_parameters5] SKIPPED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_bounding_box2D[Moffat2D-test_parameters6] SKIPPED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_bounding_box2D[Planar2D-test_parameters7] SKIPPED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_bounding_box2D[Ring2D-test_parameters8] PASSED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_bounding_box2D[Sersic2D-test_parameters9] SKIPPED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_bounding_box2D[TrapezoidDisk2D-test_parameters10] PASSED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_bounding_box2D[Polynomial2D-test_parameters11] SKIPPED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_fitter2D[AiryDisk2D-test_parameters0] PASSED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_fitter2D[Box2D-test_parameters1] PASSED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_fitter2D[Const2D-test_parameters2] PASSED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_fitter2D[Disk2D-test_parameters3] PASSED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_fitter2D[Gaussian2D-test_parameters4] PASSED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_fitter2D[MexicanHat2D-test_parameters5] PASSED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_fitter2D[Moffat2D-test_parameters6] PASSED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_fitter2D[Planar2D-test_parameters7] PASSED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_fitter2D[Ring2D-test_parameters8] PASSED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_fitter2D[Sersic2D-test_parameters9] PASSED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_fitter2D[TrapezoidDisk2D-test_parameters10] PASSED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_fitter2D[Polynomial2D-test_parameters11] PASSED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_deriv_2D[AiryDisk2D-test_parameters0] SKIPPED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_deriv_2D[Box2D-test_parameters1] SKIPPED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_deriv_2D[Const2D-test_parameters2] SKIPPED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_deriv_2D[Disk2D-test_parameters3] SKIPPED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_deriv_2D[Gaussian2D-test_parameters4] PASSED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_deriv_2D[MexicanHat2D-test_parameters5] SKIPPED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_deriv_2D[Moffat2D-test_parameters6] PASSED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_deriv_2D[Planar2D-test_parameters7] PASSED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_deriv_2D[Ring2D-test_parameters8] SKIPPED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_deriv_2D[Sersic2D-test_parameters9] SKIPPED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_deriv_2D[TrapezoidDisk2D-test_parameters10] SKIPPED astropy/modeling/tests/test_models.py::TestFittable2DModels::test_deriv_2D[Polynomial2D-test_parameters11] SKIPPED astropy/modeling/tests/test_models.py::test_ShiftModel PASSED astropy/modeling/tests/test_models.py::test_ScaleModel PASSED astropy/modeling/tests/test_models.py::test_voigt_model PASSED astropy/modeling/tests/test_models.py::test_model_instance_repr PASSED astropy/modeling/tests/test_models.py::test_tabular_interp_1d PASSED astropy/modeling/tests/test_models.py::test_tabular_interp_2d PASSED astropy/modeling/tests/test_models.py::test_tabular_nd PASSED astropy/modeling/tests/test_models.py::test_with_bounding_box PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_without_units[model0] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_without_units[model1] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_without_units[model2] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_without_units[model3] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_without_units[model4] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_without_units[model5] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_without_units[model6] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_without_units[model7] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_without_units[model8] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_without_units[model9] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_without_units[model10] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_without_units[model11] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_without_units[model12] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_without_units[model13] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_without_units[model14] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_without_units[model15] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_without_units[model16] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_without_units[model17] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_without_units[model18] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_without_units[model19] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_without_units[model20] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_without_units[model21] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_without_units[model22] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_without_units[model23] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_without_units[model24] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_without_units[model25] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_without_units[model26] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units[model0] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units[model1] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units[model2] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units[model3] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units[model4] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units[model5] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units[model6] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units[model7] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units[model8] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units[model9] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units[model10] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units[model11] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units[model12] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units[model13] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units[model14] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units[model15] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units[model16] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units[model17] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units[model18] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units[model19] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units[model20] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units[model21] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units[model22] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units[model23] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units[model24] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units[model25] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units[model26] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_x_array[model0] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_x_array[model1] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_x_array[model2] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_x_array[model3] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_x_array[model4] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_x_array[model5] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_x_array[model6] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_x_array[model7] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_x_array[model8] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_x_array[model9] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_x_array[model10] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_x_array[model11] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_x_array[model12] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_x_array[model13] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_x_array[model14] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_x_array[model15] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_x_array[model16] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_x_array[model17] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_x_array[model18] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_x_array[model19] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_x_array[model20] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_x_array[model21] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_x_array[model22] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_x_array[model23] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_x_array[model24] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_x_array[model25] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_x_array[model26] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_param_array[model0] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_param_array[model1] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_param_array[model2] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_param_array[model3] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_param_array[model4] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_param_array[model5] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_param_array[model6] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_param_array[model7] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_param_array[model8] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_param_array[model9] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_param_array[model10] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_param_array[model11] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_param_array[model12] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_param_array[model13] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_param_array[model14] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_param_array[model15] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_param_array[model16] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_param_array[model17] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_param_array[model18] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_param_array[model19] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_param_array[model20] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_param_array[model21] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_param_array[model22] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_param_array[model23] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_param_array[model24] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_param_array[model25] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_evaluate_with_units_param_array[model26] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_bounding_box[model0] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_bounding_box[model1] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_bounding_box[model2] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_bounding_box[model3] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_bounding_box[model4] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_bounding_box[model5] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_bounding_box[model6] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_bounding_box[model7] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_bounding_box[model8] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_bounding_box[model9] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_bounding_box[model10] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_bounding_box[model11] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_bounding_box[model12] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_bounding_box[model13] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_bounding_box[model14] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_bounding_box[model15] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_bounding_box[model16] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_bounding_box[model17] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_bounding_box[model18] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_bounding_box[model19] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_bounding_box[model20] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_bounding_box[model21] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_bounding_box[model22] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_bounding_box[model23] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_bounding_box[model24] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_bounding_box[model25] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_bounding_box[model26] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_fitting[model0] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_fitting[model1] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_fitting[model2] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_fitting[model3] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_fitting[model4] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_fitting[model5] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_fitting[model6] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_fitting[model7] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_fitting[model8] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_fitting[model9] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_fitting[model10] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_fitting[model11] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_fitting[model12] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_fitting[model13] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_fitting[model14] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_fitting[model15] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_fitting[model16] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_fitting[model17] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_fitting[model18] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_fitting[model19] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_fitting[model20] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_fitting[model21] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_fitting[model22] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_fitting[model23] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_fitting[model24] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_fitting[model25] PASSED astropy/modeling/tests/test_models_quantities.py::test_models_fitting[model26] PASSED astropy/modeling/tests/test_parameters.py::test_parameter_properties PASSED astropy/modeling/tests/test_parameters.py::test_parameter_operators PASSED astropy/modeling/tests/test_parameters.py::TestParameters::test_set_slice PASSED astropy/modeling/tests/test_parameters.py::TestParameters::test_set_parameters_as_list PASSED astropy/modeling/tests/test_parameters.py::TestParameters::test_set_parameters_as_array PASSED astropy/modeling/tests/test_parameters.py::TestParameters::test_set_as_tuple PASSED astropy/modeling/tests/test_parameters.py::TestParameters::test_set_model_attr_seq PASSED astropy/modeling/tests/test_parameters.py::TestParameters::test_set_model_attr_num PASSED astropy/modeling/tests/test_parameters.py::TestParameters::test_set_item PASSED astropy/modeling/tests/test_parameters.py::TestParameters::test_wrong_size1 PASSED astropy/modeling/tests/test_parameters.py::TestParameters::test_wrong_size2 PASSED astropy/modeling/tests/test_parameters.py::TestParameters::test_wrong_shape PASSED astropy/modeling/tests/test_parameters.py::TestParameters::test_par_against_iraf PASSED astropy/modeling/tests/test_parameters.py::TestParameters::testPolynomial1D PASSED astropy/modeling/tests/test_parameters.py::TestParameters::test_poly1d_multiple_sets PASSED astropy/modeling/tests/test_parameters.py::TestParameters::test_par_slicing PASSED astropy/modeling/tests/test_parameters.py::TestParameters::test_poly2d PASSED astropy/modeling/tests/test_parameters.py::TestParameters::test_poly2d_multiple_sets PASSED astropy/modeling/tests/test_parameters.py::TestParameters::test_shift_model_parameters1d PASSED astropy/modeling/tests/test_parameters.py::TestParameters::test_scale_model_parametersnd PASSED astropy/modeling/tests/test_parameters.py::TestParameters::test_parameters_wrong_shape PASSED astropy/modeling/tests/test_parameters.py::TestMultipleParameterSets::test_change_par PASSED astropy/modeling/tests/test_parameters.py::TestMultipleParameterSets::test_change_par2 PASSED astropy/modeling/tests/test_parameters.py::TestMultipleParameterSets::test_change_parameters PASSED astropy/modeling/tests/test_parameters.py::TestParameterInitialization::test_single_model_scalar_parameters PASSED astropy/modeling/tests/test_parameters.py::TestParameterInitialization::test_single_model_scalar_and_array_parameters PASSED astropy/modeling/tests/test_parameters.py::TestParameterInitialization::test_single_model_1d_array_parameters PASSED astropy/modeling/tests/test_parameters.py::TestParameterInitialization::test_single_model_1d_array_different_length_parameters PASSED astropy/modeling/tests/test_parameters.py::TestParameterInitialization::test_single_model_2d_array_parameters PASSED astropy/modeling/tests/test_parameters.py::TestParameterInitialization::test_single_model_2d_non_square_parameters PASSED astropy/modeling/tests/test_parameters.py::TestParameterInitialization::test_single_model_2d_broadcastable_parameters PASSED astropy/modeling/tests/test_parameters.py::TestParameterInitialization::test_two_model_incorrect_scalar_parameters[1-2] PASSED astropy/modeling/tests/test_parameters.py::TestParameterInitialization::test_two_model_incorrect_scalar_parameters[1-p21] PASSED astropy/modeling/tests/test_parameters.py::TestParameterInitialization::test_two_model_incorrect_scalar_parameters[p12-3] PASSED astropy/modeling/tests/test_parameters.py::TestParameterInitialization::test_two_model_incorrect_scalar_parameters[p13-p23] PASSED astropy/modeling/tests/test_parameters.py::TestParameterInitialization::test_two_model_incorrect_scalar_parameters[p14-p24] PASSED astropy/modeling/tests/test_parameters.py::TestParameterInitialization::test_two_model_scalar_parameters[kwargs0] PASSED astropy/modeling/tests/test_parameters.py::TestParameterInitialization::test_two_model_scalar_parameters[kwargs1] PASSED astropy/modeling/tests/test_parameters.py::TestParameterInitialization::test_two_model_scalar_parameters[kwargs2] PASSED astropy/modeling/tests/test_parameters.py::TestParameterInitialization::test_two_model_scalar_and_array_parameters[kwargs0] PASSED astropy/modeling/tests/test_parameters.py::TestParameterInitialization::test_two_model_scalar_and_array_parameters[kwargs1] PASSED astropy/modeling/tests/test_parameters.py::TestParameterInitialization::test_two_model_scalar_and_array_parameters[kwargs2] PASSED astropy/modeling/tests/test_parameters.py::TestParameterInitialization::test_two_model_1d_array_parameters PASSED astropy/modeling/tests/test_parameters.py::TestParameterInitialization::test_two_model_mixed_dimension_array_parameters PASSED astropy/modeling/tests/test_parameters.py::TestParameterInitialization::test_two_model_2d_array_parameters PASSED astropy/modeling/tests/test_parameters.py::TestParameterInitialization::test_two_model_nonzero_model_set_axis PASSED astropy/modeling/tests/test_parameters.py::TestParameterInitialization::test_wrong_number_of_params PASSED astropy/modeling/tests/test_parameters.py::TestParameterInitialization::test_wrong_number_of_params2 PASSED astropy/modeling/tests/test_parameters.py::TestParameterInitialization::test_array_parameter1 PASSED astropy/modeling/tests/test_parameters.py::TestParameterInitialization::test_array_parameter2 PASSED astropy/modeling/tests/test_parameters.py::TestParameterInitialization::test_array_parameter4 PASSED astropy/modeling/tests/test_parameters.py::test_non_broadcasting_parameters PASSED astropy/modeling/tests/test_parameters.py::test_setter PASSED astropy/modeling/tests/test_polynomial.py::TestFitting::test_linear_fitter_1D[Linear1D-False] PASSED astropy/modeling/tests/test_polynomial.py::TestFitting::test_linear_fitter_1D[Linear1D-True] PASSED astropy/modeling/tests/test_polynomial.py::TestFitting::test_linear_fitter_1D[Chebyshev1D-False] PASSED astropy/modeling/tests/test_polynomial.py::TestFitting::test_linear_fitter_1D[Chebyshev1D-True] PASSED astropy/modeling/tests/test_polynomial.py::TestFitting::test_linear_fitter_1D[Hermite1D-False] PASSED astropy/modeling/tests/test_polynomial.py::TestFitting::test_linear_fitter_1D[Hermite1D-True] PASSED astropy/modeling/tests/test_polynomial.py::TestFitting::test_linear_fitter_1D[Legendre1D-False] PASSED astropy/modeling/tests/test_polynomial.py::TestFitting::test_linear_fitter_1D[Legendre1D-True] PASSED astropy/modeling/tests/test_polynomial.py::TestFitting::test_linear_fitter_1D[Polynomial1D-False] PASSED astropy/modeling/tests/test_polynomial.py::TestFitting::test_linear_fitter_1D[Polynomial1D-True] PASSED astropy/modeling/tests/test_polynomial.py::TestFitting::test_non_linear_fitter_1D[Linear1D-False] PASSED astropy/modeling/tests/test_polynomial.py::TestFitting::test_non_linear_fitter_1D[Linear1D-True] PASSED astropy/modeling/tests/test_polynomial.py::TestFitting::test_non_linear_fitter_1D[Chebyshev1D-False] PASSED astropy/modeling/tests/test_polynomial.py::TestFitting::test_non_linear_fitter_1D[Chebyshev1D-True] PASSED astropy/modeling/tests/test_polynomial.py::TestFitting::test_non_linear_fitter_1D[Hermite1D-False] PASSED astropy/modeling/tests/test_polynomial.py::TestFitting::test_non_linear_fitter_1D[Hermite1D-True] PASSED astropy/modeling/tests/test_polynomial.py::TestFitting::test_non_linear_fitter_1D[Legendre1D-False] PASSED astropy/modeling/tests/test_polynomial.py::TestFitting::test_non_linear_fitter_1D[Legendre1D-True] PASSED astropy/modeling/tests/test_polynomial.py::TestFitting::test_non_linear_fitter_1D[Polynomial1D-False] PASSED astropy/modeling/tests/test_polynomial.py::TestFitting::test_non_linear_fitter_1D[Polynomial1D-True] PASSED astropy/modeling/tests/test_polynomial.py::TestFitting::test_linear_fitter_2D[Chebyshev2D-False] PASSED astropy/modeling/tests/test_polynomial.py::TestFitting::test_linear_fitter_2D[Chebyshev2D-True] PASSED astropy/modeling/tests/test_polynomial.py::TestFitting::test_linear_fitter_2D[Hermite2D-False] PASSED astropy/modeling/tests/test_polynomial.py::TestFitting::test_linear_fitter_2D[Hermite2D-True] PASSED astropy/modeling/tests/test_polynomial.py::TestFitting::test_linear_fitter_2D[Legendre2D-False] PASSED astropy/modeling/tests/test_polynomial.py::TestFitting::test_linear_fitter_2D[Legendre2D-True] PASSED astropy/modeling/tests/test_polynomial.py::TestFitting::test_linear_fitter_2D[Polynomial2D-False] PASSED astropy/modeling/tests/test_polynomial.py::TestFitting::test_linear_fitter_2D[Polynomial2D-True] PASSED astropy/modeling/tests/test_polynomial.py::TestFitting::test_non_linear_fitter_2D[Chebyshev2D-False] PASSED astropy/modeling/tests/test_polynomial.py::TestFitting::test_non_linear_fitter_2D[Chebyshev2D-True] PASSED astropy/modeling/tests/test_polynomial.py::TestFitting::test_non_linear_fitter_2D[Hermite2D-False] PASSED astropy/modeling/tests/test_polynomial.py::TestFitting::test_non_linear_fitter_2D[Hermite2D-True] PASSED astropy/modeling/tests/test_polynomial.py::TestFitting::test_non_linear_fitter_2D[Legendre2D-False] PASSED astropy/modeling/tests/test_polynomial.py::TestFitting::test_non_linear_fitter_2D[Legendre2D-True] PASSED astropy/modeling/tests/test_polynomial.py::TestFitting::test_non_linear_fitter_2D[Polynomial2D-False] PASSED astropy/modeling/tests/test_polynomial.py::TestFitting::test_non_linear_fitter_2D[Polynomial2D-True] PASSED astropy/modeling/tests/test_polynomial.py::test_polynomial_init_with_constraints[model_class0] SKIPPED astropy/modeling/tests/test_polynomial.py::test_sip_hst PASSED astropy/modeling/tests/test_polynomial.py::test_sip_irac PASSED astropy/modeling/tests/test_polynomial.py::test_sip_no_coeff PASSED astropy/modeling/tests/test_polynomial.py::test_zero_degree_polynomial[Polynomial1D] PASSED astropy/modeling/tests/test_polynomial.py::test_zero_degree_polynomial[Chebyshev1D] PASSED astropy/modeling/tests/test_polynomial.py::test_zero_degree_polynomial[Legendre1D] PASSED astropy/modeling/tests/test_polynomial.py::test_zero_degree_polynomial[Polynomial2D] PASSED astropy/modeling/tests/test_polynomial.py::test_zero_degree_polynomial[Chebyshev2D] PASSED astropy/modeling/tests/test_polynomial.py::test_zero_degree_polynomial[Legendre2D] PASSED astropy/modeling/tests/test_polynomial.py::test_2d_orthopolynomial_in_compound_model PASSED astropy/modeling/tests/test_projections.py::test_Projection_properties PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix[AZP] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix[SZP] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix[TAN] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix[STG] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix[SIN] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix[ARC] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix[ZEA] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix[AIR] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix[CYP] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix[CEA] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix[CAR] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix[MER] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix[SFL] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix[PAR] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix[MOL] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix[AIT] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix[COP] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix[COE] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix[COD] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix[COO] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix[BON] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix[PCO] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix[TSC] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix[CSC] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix[QSC] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix[HPX] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky[AZP] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky[SZP] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky[TAN] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky[STG] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky[SIN] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky[ARC] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky[ZEA] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky[AIR] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky[CYP] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky[CEA] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky[CAR] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky[MER] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky[SFL] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky[PAR] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky[MOL] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky[AIT] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky[COP] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky[COE] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky[COD] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky[COO] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky[BON] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky[PCO] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky[TSC] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky[CSC] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky[QSC] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky[HPX] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix_unit[AZP] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix_unit[SZP] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix_unit[TAN] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix_unit[STG] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix_unit[SIN] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix_unit[ARC] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix_unit[ZEA] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix_unit[AIR] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix_unit[CYP] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix_unit[CEA] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix_unit[CAR] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix_unit[MER] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix_unit[SFL] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix_unit[PAR] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix_unit[MOL] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix_unit[AIT] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix_unit[COP] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix_unit[COE] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix_unit[COD] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix_unit[COO] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix_unit[BON] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix_unit[PCO] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix_unit[TSC] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix_unit[CSC] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix_unit[QSC] PASSED astropy/modeling/tests/test_projections.py::test_Sky2Pix_unit[HPX] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky_unit[AZP] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky_unit[SZP] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky_unit[TAN] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky_unit[STG] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky_unit[SIN] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky_unit[ARC] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky_unit[ZEA] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky_unit[AIR] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky_unit[CYP] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky_unit[CEA] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky_unit[CAR] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky_unit[MER] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky_unit[SFL] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky_unit[PAR] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky_unit[MOL] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky_unit[AIT] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky_unit[COP] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky_unit[COE] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky_unit[COD] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky_unit[COO] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky_unit[BON] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky_unit[PCO] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky_unit[TSC] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky_unit[CSC] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky_unit[QSC] PASSED astropy/modeling/tests/test_projections.py::test_Pix2Sky_unit[HPX] PASSED astropy/modeling/tests/test_projections.py::test_projection_default[AZP] PASSED astropy/modeling/tests/test_projections.py::test_projection_default[SZP] PASSED astropy/modeling/tests/test_projections.py::test_projection_default[TAN] PASSED astropy/modeling/tests/test_projections.py::test_projection_default[STG] PASSED astropy/modeling/tests/test_projections.py::test_projection_default[SIN] PASSED astropy/modeling/tests/test_projections.py::test_projection_default[ARC] PASSED astropy/modeling/tests/test_projections.py::test_projection_default[ZEA] PASSED astropy/modeling/tests/test_projections.py::test_projection_default[AIR] PASSED astropy/modeling/tests/test_projections.py::test_projection_default[CYP] PASSED astropy/modeling/tests/test_projections.py::test_projection_default[CEA] PASSED astropy/modeling/tests/test_projections.py::test_projection_default[CAR] PASSED astropy/modeling/tests/test_projections.py::test_projection_default[MER] PASSED astropy/modeling/tests/test_projections.py::test_projection_default[SFL] PASSED astropy/modeling/tests/test_projections.py::test_projection_default[PAR] PASSED astropy/modeling/tests/test_projections.py::test_projection_default[MOL] PASSED astropy/modeling/tests/test_projections.py::test_projection_default[AIT] PASSED astropy/modeling/tests/test_projections.py::test_projection_default[COP] PASSED astropy/modeling/tests/test_projections.py::test_projection_default[COE] PASSED astropy/modeling/tests/test_projections.py::test_projection_default[COD] PASSED astropy/modeling/tests/test_projections.py::test_projection_default[COO] PASSED astropy/modeling/tests/test_projections.py::test_projection_default[BON] PASSED astropy/modeling/tests/test_projections.py::test_projection_default[PCO] PASSED astropy/modeling/tests/test_projections.py::test_projection_default[TSC] PASSED astropy/modeling/tests/test_projections.py::test_projection_default[CSC] PASSED astropy/modeling/tests/test_projections.py::test_projection_default[QSC] PASSED astropy/modeling/tests/test_projections.py::test_projection_default[HPX] PASSED astropy/modeling/tests/test_projections.py::TestZenithalPerspective::test_AZP_p2s PASSED astropy/modeling/tests/test_projections.py::TestZenithalPerspective::test_AZP_s2p PASSED astropy/modeling/tests/test_projections.py::TestCylindricalPerspective::test_CYP_p2s PASSED astropy/modeling/tests/test_projections.py::TestCylindricalPerspective::test_CYP_s2p PASSED astropy/modeling/tests/test_projections.py::test_AffineTransformation2D PASSED astropy/modeling/tests/test_projections.py::test_AffineTransformation2D_inverse PASSED astropy/modeling/tests/test_projections.py::test_c_projection_striding PASSED astropy/modeling/tests/test_projections.py::test_c_projections_shaped PASSED astropy/modeling/tests/test_quantities_evaluation.py::test_evaluate_with_quantities PASSED astropy/modeling/tests/test_quantities_evaluation.py::test_evaluate_with_quantities_and_equivalencies PASSED astropy/modeling/tests/test_quantities_evaluation.py::TestInputUnits::test_evaluate PASSED astropy/modeling/tests/test_quantities_evaluation.py::TestInputUnits::test_input_units PASSED astropy/modeling/tests/test_quantities_evaluation.py::TestInputUnits::test_input_units_allow_dimensionless PASSED astropy/modeling/tests/test_quantities_evaluation.py::TestInputUnits::test_input_units_strict PASSED astropy/modeling/tests/test_quantities_evaluation.py::TestInputUnits::test_input_units_equivalencies PASSED astropy/modeling/tests/test_quantities_evaluation.py::TestInputUnits::test_return_units PASSED astropy/modeling/tests/test_quantities_evaluation.py::TestInputUnits::test_return_units_scalar PASSED astropy/modeling/tests/test_quantities_fitting.py::test_fitting_simple PASSED astropy/modeling/tests/test_quantities_fitting.py::test_fitting_with_initial_values PASSED astropy/modeling/tests/test_quantities_fitting.py::test_fitting_missing_data_units PASSED astropy/modeling/tests/test_quantities_fitting.py::test_fitting_missing_model_units PASSED astropy/modeling/tests/test_quantities_fitting.py::test_fitting_incompatible_units PASSED astropy/modeling/tests/test_quantities_model.py::test_gaussian1d_bounding_box PASSED astropy/modeling/tests/test_quantities_model.py::test_gaussian1d_n_models PASSED astropy/modeling/tests/test_quantities_parameters.py::test_parameter_quantity PASSED astropy/modeling/tests/test_quantities_parameters.py::test_parameter_set_quantity PASSED astropy/modeling/tests/test_quantities_parameters.py::test_parameter_lose_units PASSED astropy/modeling/tests/test_quantities_parameters.py::test_parameter_add_units PASSED astropy/modeling/tests/test_quantities_parameters.py::test_parameter_change_unit PASSED astropy/modeling/tests/test_quantities_parameters.py::test_parameter_set_value PASSED astropy/modeling/tests/test_quantities_parameters.py::test_parameter_quantity_property PASSED astropy/modeling/tests/test_quantities_parameters.py::test_parameter_default_units_match PASSED astropy/modeling/tests/test_quantities_parameters.py::test_parameter_defaults[unit0-1.0] PASSED astropy/modeling/tests/test_quantities_parameters.py::test_parameter_defaults[None-default1] PASSED astropy/modeling/tests/test_quantities_parameters.py::test_parameter_quantity_arithmetic PASSED astropy/modeling/tests/test_quantities_parameters.py::test_parameter_quantity_comparison PASSED astropy/modeling/tests/test_quantities_parameters.py::test_parameters_compound_models PASSED astropy/modeling/tests/test_quantities_rotations.py::test_against_wcslib[inp0] PASSED astropy/modeling/tests/test_quantities_rotations.py::test_against_wcslib[inp1] PASSED astropy/modeling/tests/test_quantities_rotations.py::test_against_wcslib[inp2] PASSED astropy/modeling/tests/test_quantities_rotations.py::test_against_wcslib[inp3] PASSED astropy/modeling/tests/test_quantities_rotations.py::test_against_wcslib[inp4] PASSED astropy/modeling/tests/test_quantities_rotations.py::test_against_wcslib[inp5] PASSED astropy/modeling/tests/test_quantities_rotations.py::test_roundtrip_sky_rotaion[inp0] PASSED astropy/modeling/tests/test_quantities_rotations.py::test_roundtrip_sky_rotaion[inp1] PASSED astropy/modeling/tests/test_quantities_rotations.py::test_Rotation2D PASSED astropy/modeling/tests/test_quantities_rotations.py::test_Rotation2D_inverse PASSED astropy/modeling/tests/test_quantities_rotations.py::test_euler_angle_rotations PASSED astropy/modeling/tests/test_quantities_rotations.py::test_euler_rotations_with_units[params0] PASSED astropy/modeling/tests/test_quantities_rotations.py::test_euler_rotations_with_units[params1] PASSED astropy/modeling/tests/test_quantities_rotations.py::test_euler_rotations_with_units[params2] PASSED astropy/modeling/tests/test_quantities_rotations.py::test_attributes PASSED astropy/modeling/tests/test_rotations.py::test_against_wcslib[inp0] PASSED astropy/modeling/tests/test_rotations.py::test_against_wcslib[inp1] PASSED astropy/modeling/tests/test_rotations.py::test_against_wcslib[inp2] PASSED astropy/modeling/tests/test_rotations.py::test_against_wcslib[inp3] PASSED astropy/modeling/tests/test_rotations.py::test_against_wcslib[inp4] PASSED astropy/modeling/tests/test_rotations.py::test_against_wcslib[inp5] PASSED astropy/modeling/tests/test_rotations.py::test_roundtrip_sky_rotaion[inp0] PASSED astropy/modeling/tests/test_rotations.py::test_roundtrip_sky_rotaion[inp1] PASSED astropy/modeling/tests/test_rotations.py::test_roundtrip_sky_rotaion[inp2] PASSED astropy/modeling/tests/test_rotations.py::test_native_celestial_lat90 PASSED astropy/modeling/tests/test_rotations.py::test_Rotation2D PASSED astropy/modeling/tests/test_rotations.py::test_Rotation2D_inverse PASSED astropy/modeling/tests/test_rotations.py::test_euler_angle_rotations PASSED astropy/modeling/tests/test_rotations.py::test_euler_angles[zxz] PASSED astropy/modeling/tests/test_rotations.py::test_euler_angles[zyz] PASSED astropy/modeling/tests/test_rotations.py::test_euler_angles[yzy] PASSED astropy/modeling/tests/test_rotations.py::test_euler_angles[yxy] PASSED astropy/modeling/tests/test_rotations.py::test_euler_angles[xyx] PASSED astropy/modeling/tests/test_rotations.py::test_euler_angles[xzx] PASSED astropy/modeling/tests/test_utils.py::test_traverse_postorder_duplicate_subtrees PASSED astropy/modeling/tests/test_utils.py::test_tree_evaluate_subexpression PASSED astropy/modeling/tests/test_utils.py::test_ellipse_extent PASSED astropy/nddata/ccddata.py::astropy.nddata.ccddata.CCDData PASSED astropy/nddata/nddata.py::astropy.nddata.nddata.NDData PASSED astropy/nddata/nddata_withmixins.py::astropy.nddata.nddata_withmixins.NDDataRef PASSED astropy/nddata/nduncertainty.py::astropy.nddata.nduncertainty.StdDevUncertainty PASSED astropy/nddata/utils.py::astropy.nddata.utils.Cutout2D PASSED astropy/nddata/utils.py::astropy.nddata.utils.add_array PASSED astropy/nddata/utils.py::astropy.nddata.utils.block_reduce PASSED astropy/nddata/utils.py::astropy.nddata.utils.block_replicate PASSED astropy/nddata/utils.py::astropy.nddata.utils.extract_array PASSED astropy/nddata/utils.py::astropy.nddata.utils.subpixel_indices PASSED astropy/nddata/mixins/ndarithmetic.py::astropy.nddata.mixins.ndarithmetic.NDArithmeticMixin PASSED astropy/nddata/mixins/ndslicing.py::astropy.nddata.mixins.ndslicing.NDSlicingMixin PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data[data10-data20] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data[data11-data21] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data[data12-data22] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data[data13-data23] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data[data14-data24] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data[data15-data25] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data[data16-data26] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data_invalid PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data_unit_identical[data10-data20] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data_unit_identical[data11-data21] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data_unit_identical[data12-data22] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data_unit_identical[data13-data23] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data_unit_identical[data14-data24] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data_unit_identical[data15-data25] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data_unit_identical[data16-data26] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data_unit_identical[data17-data27] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data_unit_not_identical[data10-data20] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data_unit_not_identical[data11-data21] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data_unit_not_identical[data12-data22] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data_unit_not_identical[data13-data23] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data_wcs[None-None] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data_wcs[None-5] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data_wcs[5-None] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data_wcs[5-5] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data_wcs[7-5] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data_masks[None-None] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data_masks[None-False] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data_masks[True-None] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data_masks[False-False] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data_masks[True-False] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data_masks[False-True] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data_masks[True-True] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data_masks[mask17-mask27] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data_masks[mask18-mask28] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data_masks[mask19-mask29] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data_masks[mask110-mask210] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data_masks[mask111-mask211] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data_masks[mask112-mask212] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_data_masks_invalid PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_basic PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_basic_with_correlation[-1-uncert10-data20] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_basic_with_correlation[-0.5-uncert11-data21] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_basic_with_correlation[-0.25-uncert12-data22] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_basic_with_correlation[0-uncert13-data23] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_basic_with_correlation[0.25-uncert14-data24] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_basic_with_correlation[0.5-uncert15-data25] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_basic_with_correlation[1-uncert16-data26] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_basic_with_correlation[-1-uncert17-data27] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_basic_with_correlation[-0.5-uncert18-data28] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_basic_with_correlation[-0.25-uncert19-data29] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_basic_with_correlation[0-uncert110-data210] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_basic_with_correlation[0.25-uncert111-data211] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_basic_with_correlation[0.5-uncert112-data212] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_basic_with_correlation[1-uncert113-data213] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_basic_with_correlation[-1-uncert114-data214] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_basic_with_correlation[-0.5-uncert115-data215] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_basic_with_correlation[-0.25-uncert116-data216] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_basic_with_correlation[0-uncert117-data217] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_basic_with_correlation[0.25-uncert118-data218] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_basic_with_correlation[0.5-uncert119-data219] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_basic_with_correlation[1-uncert120-data220] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_basic_with_correlation[-1-uncert121-data221] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_basic_with_correlation[-0.5-uncert122-data222] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_basic_with_correlation[-0.25-uncert123-data223] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_basic_with_correlation[0-uncert124-data224] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_basic_with_correlation[0.25-uncert125-data225] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_basic_with_correlation[0.5-uncert126-data226] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_basic_with_correlation[1-uncert127-data227] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_basic_with_correlation_array PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_with_correlation_unsupported PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_one_missing PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_with_units[uncert10-None] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_with_units[uncert11-None] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_with_units[None-uncert22] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_with_units[None-uncert23] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_with_units[uncert14-uncert24] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_with_units[uncert15-uncert25] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_with_units[uncert16-uncert26] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_with_units[uncert17-uncert27] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_with_units[uncert18-uncert28] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_with_units[uncert19-uncert29] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_with_units[uncert110-uncert210] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_stddevuncertainty_with_units[uncert111-uncert211] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_handle_switches[ff] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_handle_switches[first_found] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_meta_func PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_wcs_func PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_mask_func PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_two_argument_useage[add] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_two_argument_useage[subtract] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_two_argument_useage[divide] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_two_argument_useage[multiply] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_two_argument_useage_non_nddata_first_arg[add] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_two_argument_useage_non_nddata_first_arg[subtract] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_two_argument_useage_non_nddata_first_arg[divide] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_two_argument_useage_non_nddata_first_arg[multiply] PASSED astropy/nddata/mixins/tests/test_ndarithmetic.py::test_arithmetics_unknown_uncertainties PASSED astropy/nddata/mixins/tests/test_ndio.py::test_simple_write_read PASSED astropy/nddata/mixins/tests/test_ndslicing.py::test_slicing_only_data PASSED astropy/nddata/mixins/tests/test_ndslicing.py::test_slicing_data_scalar_fail PASSED astropy/nddata/mixins/tests/test_ndslicing.py::test_slicing_1ddata_ndslice PASSED astropy/nddata/mixins/tests/test_ndslicing.py::test_slicing_1dmask_ndslice[mask] PASSED astropy/nddata/mixins/tests/test_ndslicing.py::test_slicing_1dmask_ndslice[wcs] PASSED astropy/nddata/mixins/tests/test_ndslicing.py::test_slicing_1dmask_ndslice[uncertainty] PASSED astropy/nddata/mixins/tests/test_ndslicing.py::test_slicing_all_npndarray_1d PASSED astropy/nddata/mixins/tests/test_ndslicing.py::test_slicing_all_npndarray_nd PASSED astropy/nddata/mixins/tests/test_ndslicing.py::test_slicing_all_npndarray_shape_diff PASSED astropy/nddata/mixins/tests/test_ndslicing.py::test_slicing_all_something_wrong PASSED astropy/nddata/mixins/tests/test_ndslicing.py::test_boolean_slicing PASSED astropy/nddata/tests/test_ccddata.py::test_ccddata_empty PASSED astropy/nddata/tests/test_ccddata.py::test_ccddata_must_have_unit PASSED astropy/nddata/tests/test_ccddata.py::test_ccddata_unit_cannot_be_set_to_none PASSED astropy/nddata/tests/test_ccddata.py::test_ccddata_meta_header_conflict PASSED astropy/nddata/tests/test_ccddata.py::test_ccddata_simple PASSED astropy/nddata/tests/test_ccddata.py::test_ccddata_init_with_string_electron_unit PASSED astropy/nddata/tests/test_ccddata.py::test_initialize_from_FITS PASSED astropy/nddata/tests/test_ccddata.py::test_initialize_from_fits_with_unit_in_header PASSED astropy/nddata/tests/test_ccddata.py::test_initialize_from_fits_with_ADU_in_header PASSED astropy/nddata/tests/test_ccddata.py::test_initialize_from_fits_with_data_in_different_extension PASSED astropy/nddata/tests/test_ccddata.py::test_initialize_from_fits_with_extension PASSED astropy/nddata/tests/test_ccddata.py::test_write_unit_to_hdu PASSED astropy/nddata/tests/test_ccddata.py::test_initialize_from_FITS_bad_keyword_raises_error PASSED astropy/nddata/tests/test_ccddata.py::test_ccddata_writer PASSED astropy/nddata/tests/test_ccddata.py::test_ccddata_meta_is_case_sensitive PASSED astropy/nddata/tests/test_ccddata.py::test_ccddata_meta_is_not_fits_header PASSED astropy/nddata/tests/test_ccddata.py::test_fromMEF PASSED astropy/nddata/tests/test_ccddata.py::test_metafromheader PASSED astropy/nddata/tests/test_ccddata.py::test_metafromdict PASSED astropy/nddata/tests/test_ccddata.py::test_header2meta PASSED astropy/nddata/tests/test_ccddata.py::test_metafromstring_fail PASSED astropy/nddata/tests/test_ccddata.py::test_setting_bad_uncertainty_raises_error PASSED astropy/nddata/tests/test_ccddata.py::test_setting_uncertainty_with_array PASSED astropy/nddata/tests/test_ccddata.py::test_setting_uncertainty_wrong_shape_raises_error PASSED astropy/nddata/tests/test_ccddata.py::test_to_hdu PASSED astropy/nddata/tests/test_ccddata.py::test_copy PASSED astropy/nddata/tests/test_ccddata.py::test_mult_div_overload[True-2.0-multiply-True] PASSED astropy/nddata/tests/test_ccddata.py::test_mult_div_overload[True-2.0-divide-True] PASSED astropy/nddata/tests/test_ccddata.py::test_mult_div_overload[True-operand1-multiply-True] PASSED astropy/nddata/tests/test_ccddata.py::test_mult_div_overload[True-operand1-divide-True] PASSED astropy/nddata/tests/test_ccddata.py::test_mult_div_overload[True-operand2-multiply-True] PASSED astropy/nddata/tests/test_ccddata.py::test_mult_div_overload[True-operand2-divide-True] PASSED astropy/nddata/tests/test_ccddata.py::test_mult_div_overload[False-2.0-multiply-True] PASSED astropy/nddata/tests/test_ccddata.py::test_mult_div_overload[False-2.0-divide-True] PASSED astropy/nddata/tests/test_ccddata.py::test_mult_div_overload[False-operand1-multiply-True] PASSED astropy/nddata/tests/test_ccddata.py::test_mult_div_overload[False-operand1-divide-True] PASSED astropy/nddata/tests/test_ccddata.py::test_mult_div_overload[False-operand2-multiply-True] PASSED astropy/nddata/tests/test_ccddata.py::test_mult_div_overload[False-operand2-divide-True] PASSED astropy/nddata/tests/test_ccddata.py::test_add_sub_overload[True-2.0-UnitsError-add-False] PASSED astropy/nddata/tests/test_ccddata.py::test_add_sub_overload[True-2.0-UnitsError-subtract-False] PASSED astropy/nddata/tests/test_ccddata.py::test_add_sub_overload[True-operand1-UnitsError-add-False] PASSED astropy/nddata/tests/test_ccddata.py::test_add_sub_overload[True-operand1-UnitsError-subtract-False] PASSED astropy/nddata/tests/test_ccddata.py::test_add_sub_overload[True-operand2-False-add-False] PASSED astropy/nddata/tests/test_ccddata.py::test_add_sub_overload[True-operand2-False-subtract-False] PASSED astropy/nddata/tests/test_ccddata.py::test_add_sub_overload[False-2.0-UnitsError-add-False] PASSED astropy/nddata/tests/test_ccddata.py::test_add_sub_overload[False-2.0-UnitsError-subtract-False] PASSED astropy/nddata/tests/test_ccddata.py::test_add_sub_overload[False-operand1-UnitsError-add-False] PASSED astropy/nddata/tests/test_ccddata.py::test_add_sub_overload[False-operand1-UnitsError-subtract-False] PASSED astropy/nddata/tests/test_ccddata.py::test_add_sub_overload[False-operand2-False-add-False] PASSED astropy/nddata/tests/test_ccddata.py::test_add_sub_overload[False-operand2-False-subtract-False] PASSED astropy/nddata/tests/test_ccddata.py::test_arithmetic_overload_fails PASSED astropy/nddata/tests/test_ccddata.py::test_arithmetic_no_wcs_compare PASSED astropy/nddata/tests/test_ccddata.py::test_arithmetic_with_wcs_compare PASSED astropy/nddata/tests/test_ccddata.py::test_arithmetic_with_wcs_compare_fail PASSED astropy/nddata/tests/test_ccddata.py::test_arithmetic_overload_ccddata_operand PASSED astropy/nddata/tests/test_ccddata.py::test_arithmetic_overload_differing_units PASSED astropy/nddata/tests/test_ccddata.py::test_arithmetic_add_with_array PASSED astropy/nddata/tests/test_ccddata.py::test_arithmetic_subtract_with_array PASSED astropy/nddata/tests/test_ccddata.py::test_arithmetic_multiply_with_array PASSED astropy/nddata/tests/test_ccddata.py::test_arithmetic_divide_with_array PASSED astropy/nddata/tests/test_ccddata.py::test_history_preserved_if_metadata_is_fits_header PASSED astropy/nddata/tests/test_ccddata.py::test_infol_logged_if_unit_in_fits_header PASSED astropy/nddata/tests/test_ccddata.py::test_wcs_attribute PASSED astropy/nddata/tests/test_ccddata.py::test_wcs_keywords_removed_from_header PASSED astropy/nddata/tests/test_ccddata.py::test_wcs_keyword_removal_for_wcs_test_files PASSED astropy/nddata/tests/test_ccddata.py::test_header PASSED astropy/nddata/tests/test_ccddata.py::test_wcs_arithmetic PASSED astropy/nddata/tests/test_ccddata.py::test_wcs_arithmetic_ccd[multiply] PASSED astropy/nddata/tests/test_ccddata.py::test_wcs_arithmetic_ccd[divide] PASSED astropy/nddata/tests/test_ccddata.py::test_wcs_arithmetic_ccd[add] PASSED astropy/nddata/tests/test_ccddata.py::test_wcs_arithmetic_ccd[subtract] PASSED astropy/nddata/tests/test_ccddata.py::test_wcs_sip_handling PASSED astropy/nddata/tests/test_ccddata.py::test_mask_arithmetic_ccd[multiply] PASSED astropy/nddata/tests/test_ccddata.py::test_mask_arithmetic_ccd[divide] PASSED astropy/nddata/tests/test_ccddata.py::test_mask_arithmetic_ccd[add] PASSED astropy/nddata/tests/test_ccddata.py::test_mask_arithmetic_ccd[subtract] PASSED astropy/nddata/tests/test_ccddata.py::test_write_read_multiextensionfits_mask_default PASSED astropy/nddata/tests/test_ccddata.py::test_write_read_multiextensionfits_uncertainty_default PASSED astropy/nddata/tests/test_ccddata.py::test_write_read_multiextensionfits_not PASSED astropy/nddata/tests/test_ccddata.py::test_write_read_multiextensionfits_custom_ext_names PASSED astropy/nddata/tests/test_ccddata.py::test_wcs PASSED astropy/nddata/tests/test_ccddata.py::test_recognized_fits_formats_for_read_write PASSED astropy/nddata/tests/test_ccddata.py::test_stddevuncertainty_compat_descriptor_no_parent PASSED astropy/nddata/tests/test_ccddata.py::test_stddevuncertainty_compat_descriptor_no_weakref PASSED astropy/nddata/tests/test_compat.py::test_nddataarray_has_attributes_of_old_nddata PASSED astropy/nddata/tests/test_compat.py::test_nddata_simple PASSED astropy/nddata/tests/test_compat.py::test_nddata_parameters PASSED astropy/nddata/tests/test_compat.py::test_nddata_conversion PASSED astropy/nddata/tests/test_compat.py::test_nddata_flags_init_without_np_array[flags_in0] PASSED astropy/nddata/tests/test_compat.py::test_nddata_flags_init_without_np_array[flags_in1] PASSED astropy/nddata/tests/test_compat.py::test_nddata_flags_init_without_np_array[flags_in2] PASSED astropy/nddata/tests/test_compat.py::test_nddata_flags_init_without_np_array[flags_in3] PASSED astropy/nddata/tests/test_compat.py::test_nddata_flags_init_without_np_array[flags_in4] PASSED astropy/nddata/tests/test_compat.py::test_nddata_flags_init_without_np_array[flags_in5] PASSED astropy/nddata/tests/test_compat.py::test_nddata_flags_invalid_shape[shape0] PASSED astropy/nddata/tests/test_compat.py::test_nddata_flags_invalid_shape[shape1] PASSED astropy/nddata/tests/test_compat.py::test_nddata_flags_invalid_shape[shape2] PASSED astropy/nddata/tests/test_compat.py::test_convert_unit_to PASSED astropy/nddata/tests/test_compat.py::test_init_of_subclass_in_convert_unit_to PASSED astropy/nddata/tests/test_compat.py::test_nddataarray_from_nddataarray PASSED astropy/nddata/tests/test_compat.py::test_nddataarray_from_nddata PASSED astropy/nddata/tests/test_decorators.py::test_pass_numpy PASSED astropy/nddata/tests/test_decorators.py::test_pass_all_separate PASSED astropy/nddata/tests/test_decorators.py::test_pass_nddata PASSED astropy/nddata/tests/test_decorators.py::test_pass_nddata_and_explicit PASSED astropy/nddata/tests/test_decorators.py::test_pass_nddata_ignored PASSED astropy/nddata/tests/test_decorators.py::test_incorrect_first_argument PASSED astropy/nddata/tests/test_decorators.py::test_wrap_function_no_kwargs PASSED astropy/nddata/tests/test_decorators.py::test_wrap_function_repack_valid PASSED astropy/nddata/tests/test_decorators.py::test_wrap_function_accepts PASSED astropy/nddata/tests/test_decorators.py::test_wrap_preserve_signature_docstring PASSED astropy/nddata/tests/test_decorators.py::test_setup_failures1 PASSED astropy/nddata/tests/test_decorators.py::test_setup_failures2 PASSED astropy/nddata/tests/test_decorators.py::test_setup_failures9 PASSED astropy/nddata/tests/test_decorators.py::test_setup_failures3 PASSED astropy/nddata/tests/test_decorators.py::test_setup_failures4 PASSED astropy/nddata/tests/test_decorators.py::test_setup_failures10 PASSED astropy/nddata/tests/test_decorators.py::test_setup_failures5 PASSED astropy/nddata/tests/test_decorators.py::test_setup_failures6 PASSED astropy/nddata/tests/test_decorators.py::test_setup_failures7 PASSED astropy/nddata/tests/test_decorators.py::test_setup_failures8 PASSED astropy/nddata/tests/test_decorators.py::test_setup_failures11 PASSED astropy/nddata/tests/test_decorators.py::test_setup_numpyarray_default PASSED astropy/nddata/tests/test_decorators.py::test_still_accepts_other_input PASSED astropy/nddata/tests/test_decorators.py::test_accepting_property_normal PASSED astropy/nddata/tests/test_decorators.py::test_parameter_default_identical_to_explicit_passed_argument PASSED astropy/nddata/tests/test_decorators.py::test_accepting_property_notexist PASSED astropy/nddata/tests/test_decorators.py::test_accepting_property_translated PASSED astropy/nddata/tests/test_decorators.py::test_accepting_property_meta_empty PASSED astropy/nddata/tests/test_flag_collection.py::test_init PASSED astropy/nddata/tests/test_flag_collection.py::test_init_noshape PASSED astropy/nddata/tests/test_flag_collection.py::test_init_notiterable PASSED astropy/nddata/tests/test_flag_collection.py::test_setitem PASSED astropy/nddata/tests/test_flag_collection.py::test_setitem_invalid_type[1] PASSED astropy/nddata/tests/test_flag_collection.py::test_setitem_invalid_type[1.0] PASSED astropy/nddata/tests/test_flag_collection.py::test_setitem_invalid_type[spam] PASSED astropy/nddata/tests/test_flag_collection.py::test_setitem_invalid_type[value3] PASSED astropy/nddata/tests/test_flag_collection.py::test_setitem_invalid_type[value4] PASSED astropy/nddata/tests/test_flag_collection.py::test_setitem_invalid_shape PASSED astropy/nddata/tests/test_nddata.py::test_uncertainty_setter PASSED astropy/nddata/tests/test_nddata.py::test_mask_setter PASSED astropy/nddata/tests/test_nddata.py::test_nddata_empty PASSED astropy/nddata/tests/test_nddata.py::test_nddata_init_data_nonarray PASSED astropy/nddata/tests/test_nddata.py::test_nddata_init_data_ndarray PASSED astropy/nddata/tests/test_nddata.py::test_nddata_init_data_maskedarray PASSED astropy/nddata/tests/test_nddata.py::test_nddata_init_data_quantity[data0] PASSED astropy/nddata/tests/test_nddata.py::test_nddata_init_data_quantity[5] PASSED astropy/nddata/tests/test_nddata.py::test_nddata_init_data_masked_quantity PASSED astropy/nddata/tests/test_nddata.py::test_nddata_init_data_nddata PASSED astropy/nddata/tests/test_nddata.py::test_nddata_init_data_nddata_subclass PASSED astropy/nddata/tests/test_nddata.py::test_nddata_init_data_fail PASSED astropy/nddata/tests/test_nddata.py::test_nddata_init_data_fakes PASSED astropy/nddata/tests/test_nddata.py::test_param_uncertainty PASSED astropy/nddata/tests/test_nddata.py::test_param_wcs PASSED astropy/nddata/tests/test_nddata.py::test_param_meta PASSED astropy/nddata/tests/test_nddata.py::test_param_mask PASSED astropy/nddata/tests/test_nddata.py::test_param_unit PASSED astropy/nddata/tests/test_nddata.py::TestMetaNDData::test_none <- lib.linux-x86_64-3.6/astropy/utils/tests/test_metadata.py PASSED astropy/nddata/tests/test_nddata.py::TestMetaNDData::test_mapping_init[meta0] <- lib.linux-x86_64-3.6/astropy/utils/tests/test_metadata.py PASSED astropy/nddata/tests/test_nddata.py::TestMetaNDData::test_mapping_init[meta1] <- lib.linux-x86_64-3.6/astropy/utils/tests/test_metadata.py PASSED astropy/nddata/tests/test_nddata.py::TestMetaNDData::test_mapping_init[meta2] <- lib.linux-x86_64-3.6/astropy/utils/tests/test_metadata.py PASSED astropy/nddata/tests/test_nddata.py::TestMetaNDData::test_non_mapping_init[ceci n'est pas un meta] <- lib.linux-x86_64-3.6/astropy/utils/tests/test_metadata.py PASSED astropy/nddata/tests/test_nddata.py::TestMetaNDData::test_non_mapping_init[1.2] <- lib.linux-x86_64-3.6/astropy/utils/tests/test_metadata.py PASSED astropy/nddata/tests/test_nddata.py::TestMetaNDData::test_non_mapping_init[meta2] <- lib.linux-x86_64-3.6/astropy/utils/tests/test_metadata.py PASSED astropy/nddata/tests/test_nddata.py::TestMetaNDData::test_mapping_set[meta0] <- lib.linux-x86_64-3.6/astropy/utils/tests/test_metadata.py PASSED astropy/nddata/tests/test_nddata.py::TestMetaNDData::test_mapping_set[meta1] <- lib.linux-x86_64-3.6/astropy/utils/tests/test_metadata.py PASSED astropy/nddata/tests/test_nddata.py::TestMetaNDData::test_mapping_set[meta2] <- lib.linux-x86_64-3.6/astropy/utils/tests/test_metadata.py PASSED astropy/nddata/tests/test_nddata.py::TestMetaNDData::test_non_mapping_set[ceci n'est pas un meta] <- lib.linux-x86_64-3.6/astropy/utils/tests/test_metadata.py PASSED astropy/nddata/tests/test_nddata.py::TestMetaNDData::test_non_mapping_set[1.2] <- lib.linux-x86_64-3.6/astropy/utils/tests/test_metadata.py PASSED astropy/nddata/tests/test_nddata.py::TestMetaNDData::test_non_mapping_set[meta2] <- lib.linux-x86_64-3.6/astropy/utils/tests/test_metadata.py PASSED astropy/nddata/tests/test_nddata.py::TestMetaNDData::test_meta_fits_header <- lib.linux-x86_64-3.6/astropy/utils/tests/test_metadata.py PASSED astropy/nddata/tests/test_nddata.py::test_nddata_str PASSED astropy/nddata/tests/test_nddata.py::test_nddata_repr PASSED astropy/nddata/tests/test_nddata.py::test_slicing_not_supported PASSED astropy/nddata/tests/test_nddata.py::test_arithmetic_not_supported PASSED astropy/nddata/tests/test_nddata_base.py::test_nddata_base_subclass PASSED astropy/nddata/tests/test_nduncertainty.py::test_init_fake_with_list[FakeUncertainty] PASSED astropy/nddata/tests/test_nduncertainty.py::test_init_fake_with_list[StdDevUncertainty] PASSED astropy/nddata/tests/test_nduncertainty.py::test_init_fake_with_list[UnknownUncertainty] PASSED astropy/nddata/tests/test_nduncertainty.py::test_init_fake_with_ndarray[FakeUncertainty] PASSED astropy/nddata/tests/test_nduncertainty.py::test_init_fake_with_ndarray[StdDevUncertainty] PASSED astropy/nddata/tests/test_nduncertainty.py::test_init_fake_with_ndarray[UnknownUncertainty] PASSED astropy/nddata/tests/test_nduncertainty.py::test_init_fake_with_quantity[FakeUncertainty] PASSED astropy/nddata/tests/test_nduncertainty.py::test_init_fake_with_quantity[StdDevUncertainty] PASSED astropy/nddata/tests/test_nduncertainty.py::test_init_fake_with_quantity[UnknownUncertainty] PASSED astropy/nddata/tests/test_nduncertainty.py::test_init_fake_with_fake[FakeUncertainty] PASSED astropy/nddata/tests/test_nduncertainty.py::test_init_fake_with_fake[StdDevUncertainty] PASSED astropy/nddata/tests/test_nduncertainty.py::test_init_fake_with_fake[UnknownUncertainty] PASSED astropy/nddata/tests/test_nduncertainty.py::test_init_fake_with_somethingElse[FakeUncertainty] PASSED astropy/nddata/tests/test_nduncertainty.py::test_init_fake_with_somethingElse[StdDevUncertainty] PASSED astropy/nddata/tests/test_nduncertainty.py::test_init_fake_with_somethingElse[UnknownUncertainty] PASSED astropy/nddata/tests/test_nduncertainty.py::test_init_fake_with_StdDevUncertainty PASSED astropy/nddata/tests/test_nduncertainty.py::test_uncertainty_type PASSED astropy/nddata/tests/test_nduncertainty.py::test_uncertainty_correlated PASSED astropy/nddata/tests/test_nduncertainty.py::test_for_leak_with_uncertainty PASSED astropy/nddata/tests/test_nduncertainty.py::test_for_stolen_uncertainty PASSED astropy/nddata/tests/test_utils.py::test_slices_different_dim PASSED astropy/nddata/tests/test_utils.py::test_slices_pos_different_dim PASSED astropy/nddata/tests/test_utils.py::test_slices_no_overlap[pos0] PASSED astropy/nddata/tests/test_utils.py::test_slices_no_overlap[pos1] PASSED astropy/nddata/tests/test_utils.py::test_slices_no_overlap[pos2] PASSED astropy/nddata/tests/test_utils.py::test_slices_no_overlap[pos3] PASSED astropy/nddata/tests/test_utils.py::test_slices_partial_overlap PASSED astropy/nddata/tests/test_utils.py::test_slices_overlap_wrong_mode PASSED astropy/nddata/tests/test_utils.py::test_extract_array_wrong_mode PASSED astropy/nddata/tests/test_utils.py::test_extract_array_1d_even PASSED astropy/nddata/tests/test_utils.py::test_extract_array_1d_odd PASSED astropy/nddata/tests/test_utils.py::test_extract_array_1d PASSED astropy/nddata/tests/test_utils.py::test_extract_Array_float PASSED astropy/nddata/tests/test_utils.py::test_extract_array_1d_trim PASSED astropy/nddata/tests/test_utils.py::test_extract_array_easy[partial] PASSED astropy/nddata/tests/test_utils.py::test_extract_array_easy[trim] PASSED astropy/nddata/tests/test_utils.py::test_extract_array_easy[strict] PASSED astropy/nddata/tests/test_utils.py::test_extract_array_return_pos PASSED astropy/nddata/tests/test_utils.py::test_add_array_odd_shape PASSED astropy/nddata/tests/test_utils.py::test_add_array_even_shape PASSED astropy/nddata/tests/test_utils.py::test_subpixel_indices[position0-subpixel_index0] PASSED astropy/nddata/tests/test_utils.py::test_subpixel_indices[position1-subpixel_index1] PASSED astropy/nddata/tests/test_utils.py::test_subpixel_indices[position2-subpixel_index2] PASSED astropy/nddata/tests/test_utils.py::test_subpixel_indices[position3-subpixel_index3] PASSED astropy/nddata/tests/test_utils.py::test_subpixel_indices[position4-subpixel_index4] PASSED astropy/nddata/tests/test_utils.py::test_subpixel_indices[position5-subpixel_index5] PASSED astropy/nddata/tests/test_utils.py::TestBlockReduce::test_1d SKIPPED astropy/nddata/tests/test_utils.py::TestBlockReduce::test_1d_mean SKIPPED astropy/nddata/tests/test_utils.py::TestBlockReduce::test_2d SKIPPED astropy/nddata/tests/test_utils.py::TestBlockReduce::test_2d_mean SKIPPED astropy/nddata/tests/test_utils.py::TestBlockReduce::test_2d_trim SKIPPED astropy/nddata/tests/test_utils.py::TestBlockReduce::test_block_size_broadcasting SKIPPED astropy/nddata/tests/test_utils.py::TestBlockReduce::test_block_size_len SKIPPED astropy/nddata/tests/test_utils.py::TestBlockReplicate::test_1d SKIPPED astropy/nddata/tests/test_utils.py::TestBlockReplicate::test_1d_conserve_sum SKIPPED astropy/nddata/tests/test_utils.py::TestBlockReplicate::test_2d SKIPPED astropy/nddata/tests/test_utils.py::TestBlockReplicate::test_2d_conserve_sum SKIPPED astropy/nddata/tests/test_utils.py::TestBlockReplicate::test_block_size_broadcasting SKIPPED astropy/nddata/tests/test_utils.py::TestBlockReplicate::test_block_size_len SKIPPED astropy/nddata/tests/test_utils.py::TestCutout2D::test_cutout PASSED astropy/nddata/tests/test_utils.py::TestCutout2D::test_size_length PASSED astropy/nddata/tests/test_utils.py::TestCutout2D::test_size_units PASSED astropy/nddata/tests/test_utils.py::TestCutout2D::test_size_pixel PASSED astropy/nddata/tests/test_utils.py::TestCutout2D::test_size_angle PASSED astropy/nddata/tests/test_utils.py::TestCutout2D::test_size_angle_without_wcs PASSED astropy/nddata/tests/test_utils.py::TestCutout2D::test_cutout_trim_overlap PASSED astropy/nddata/tests/test_utils.py::TestCutout2D::test_cutout_partial_overlap PASSED astropy/nddata/tests/test_utils.py::TestCutout2D::test_cutout_partial_overlap_fill_value PASSED astropy/nddata/tests/test_utils.py::TestCutout2D::test_copy PASSED astropy/nddata/tests/test_utils.py::TestCutout2D::test_to_from_large PASSED astropy/nddata/tests/test_utils.py::TestCutout2D::test_skycoord_without_wcs PASSED astropy/nddata/tests/test_utils.py::TestCutout2D::test_skycoord PASSED astropy/nddata/tests/test_utils.py::TestCutout2D::test_skycoord_partial PASSED astropy/samp/tests/test_client.py::test_SAMPHubProxy PASSED astropy/samp/tests/test_client.py::test_SAMPClient PASSED astropy/samp/tests/test_client.py::test_SAMPIntegratedClient PASSED astropy/samp/tests/test_client.py::test_reconnect PASSED astropy/samp/tests/test_errors.py::test_SAMPHubError PASSED astropy/samp/tests/test_errors.py::test_SAMPClientError PASSED astropy/samp/tests/test_errors.py::test_SAMPProxyError PASSED astropy/samp/tests/test_hub.py::test_SAMPHubServer PASSED astropy/samp/tests/test_hub.py::test_SAMPHubServer_run PASSED astropy/samp/tests/test_hub.py::test_SAMPHubServer_run_repeated PASSED astropy/samp/tests/test_hub_proxy.py::TestHubProxy::test_is_connected PASSED astropy/samp/tests/test_hub_proxy.py::TestHubProxy::test_disconnect PASSED astropy/samp/tests/test_hub_proxy.py::TestHubProxy::test_ping PASSED astropy/samp/tests/test_hub_proxy.py::TestHubProxy::test_registration PASSED astropy/samp/tests/test_hub_proxy.py::test_custom_lockfile PASSED astropy/samp/tests/test_hub_script.py::test_hub_script PASSED astropy/samp/tests/test_standard_profile.py::TestStandardProfile::test_main PASSED astropy/samp/tests/test_web_profile.py::TestWebProfile::test_main <- lib.linux-x86_64-3.6/astropy/samp/tests/test_standard_profile.py PASSED astropy/samp/tests/test_web_profile.py::TestWebProfile::test_web_profile PASSED astropy/stats/bayesian_blocks.py::astropy.stats.bayesian_blocks.bayesian_blocks PASSED astropy/stats/biweight.py::astropy.stats.biweight.biweight_location PASSED astropy/stats/biweight.py::astropy.stats.biweight.biweight_midcorrelation PASSED astropy/stats/biweight.py::astropy.stats.biweight.biweight_midcovariance PASSED astropy/stats/biweight.py::astropy.stats.biweight.biweight_midvariance PASSED astropy/stats/biweight.py::astropy.stats.biweight.biweight_scale PASSED astropy/stats/circstats.py::astropy.stats.circstats.circcorrcoef PASSED astropy/stats/circstats.py::astropy.stats.circstats.circmean PASSED astropy/stats/circstats.py::astropy.stats.circstats.circmoment PASSED astropy/stats/circstats.py::astropy.stats.circstats.circvar PASSED astropy/stats/circstats.py::astropy.stats.circstats.rayleightest PASSED astropy/stats/circstats.py::astropy.stats.circstats.vonmisesmle PASSED astropy/stats/funcs.py::astropy.stats.funcs.bootstrap PASSED astropy/stats/funcs.py::astropy.stats.funcs.mad_std PASSED astropy/stats/funcs.py::astropy.stats.funcs.median_absolute_deviation PASSED astropy/stats/info_theory.py::astropy.stats.info_theory.akaike_info_criterion PASSED astropy/stats/info_theory.py::astropy.stats.info_theory.akaike_info_criterion_lsq PASSED astropy/stats/info_theory.py::astropy.stats.info_theory.bayesian_info_criterion PASSED astropy/stats/info_theory.py::astropy.stats.info_theory.bayesian_info_criterion_lsq PASSED astropy/stats/sigma_clipping.py::astropy.stats.sigma_clipping.SigmaClip PASSED astropy/stats/sigma_clipping.py::astropy.stats.sigma_clipping.sigma_clip PASSED astropy/stats/spatial.py::astropy.stats.spatial.RipleysKEstimator PASSED astropy/stats/lombscargle/core.py::astropy.stats.lombscargle.core.LombScargle PASSED astropy/stats/lombscargle/implementations/utils.py::astropy.stats.lombscargle.implementations.utils.extirpolate PASSED astropy/stats/lombscargle/implementations/tests/test_mle.py::test_design_matrix[True-None-1.0] PASSED astropy/stats/lombscargle/implementations/tests/test_mle.py::test_design_matrix[True-None-2] PASSED astropy/stats/lombscargle/implementations/tests/test_mle.py::test_design_matrix[True-2.0-1.0] PASSED astropy/stats/lombscargle/implementations/tests/test_mle.py::test_design_matrix[True-2.0-2] PASSED astropy/stats/lombscargle/implementations/tests/test_mle.py::test_design_matrix[False-None-1.0] PASSED astropy/stats/lombscargle/implementations/tests/test_mle.py::test_design_matrix[False-None-2] PASSED astropy/stats/lombscargle/implementations/tests/test_mle.py::test_design_matrix[False-2.0-1.0] PASSED astropy/stats/lombscargle/implementations/tests/test_mle.py::test_design_matrix[False-2.0-2] PASSED astropy/stats/lombscargle/implementations/tests/test_mle.py::test_multiterm_design_matrix[0] PASSED astropy/stats/lombscargle/implementations/tests/test_mle.py::test_multiterm_design_matrix[1] PASSED astropy/stats/lombscargle/implementations/tests/test_mle.py::test_multiterm_design_matrix[2] PASSED astropy/stats/lombscargle/implementations/tests/test_mle.py::test_multiterm_design_matrix[3] PASSED astropy/stats/lombscargle/implementations/tests/test_mle.py::test_exact_mle_fit[True-1-1] PASSED astropy/stats/lombscargle/implementations/tests/test_mle.py::test_exact_mle_fit[True-1-2] PASSED astropy/stats/lombscargle/implementations/tests/test_mle.py::test_exact_mle_fit[True-1-3] PASSED astropy/stats/lombscargle/implementations/tests/test_mle.py::test_exact_mle_fit[True-2-1] PASSED astropy/stats/lombscargle/implementations/tests/test_mle.py::test_exact_mle_fit[True-2-2] PASSED astropy/stats/lombscargle/implementations/tests/test_mle.py::test_exact_mle_fit[True-2-3] PASSED astropy/stats/lombscargle/implementations/tests/test_mle.py::test_exact_mle_fit[False-1-1] PASSED astropy/stats/lombscargle/implementations/tests/test_mle.py::test_exact_mle_fit[False-1-2] PASSED astropy/stats/lombscargle/implementations/tests/test_mle.py::test_exact_mle_fit[False-1-3] PASSED astropy/stats/lombscargle/implementations/tests/test_mle.py::test_exact_mle_fit[False-2-1] PASSED astropy/stats/lombscargle/implementations/tests/test_mle.py::test_exact_mle_fit[False-2-2] PASSED astropy/stats/lombscargle/implementations/tests/test_mle.py::test_exact_mle_fit[False-2-3] PASSED astropy/stats/lombscargle/implementations/tests/test_utils.py::test_bitceil[-1-N0] PASSED astropy/stats/lombscargle/implementations/tests/test_utils.py::test_bitceil[-1-N1] PASSED astropy/stats/lombscargle/implementations/tests/test_utils.py::test_bitceil[-1-N2] PASSED astropy/stats/lombscargle/implementations/tests/test_utils.py::test_bitceil[-1-N3] PASSED astropy/stats/lombscargle/implementations/tests/test_utils.py::test_bitceil[-1-N4] PASSED astropy/stats/lombscargle/implementations/tests/test_utils.py::test_bitceil[-1-N5] PASSED astropy/stats/lombscargle/implementations/tests/test_utils.py::test_bitceil[-1-N6] PASSED astropy/stats/lombscargle/implementations/tests/test_utils.py::test_bitceil[-1-N7] PASSED astropy/stats/lombscargle/implementations/tests/test_utils.py::test_bitceil[-1-N8] PASSED astropy/stats/lombscargle/implementations/tests/test_utils.py::test_bitceil[-1-N9] PASSED astropy/stats/lombscargle/implementations/tests/test_utils.py::test_bitceil[-1-N10] PASSED astropy/stats/lombscargle/implementations/tests/test_utils.py::test_bitceil[0-N0] PASSED astropy/stats/lombscargle/implementations/tests/test_utils.py::test_bitceil[0-N1] PASSED astropy/stats/lombscargle/implementations/tests/test_utils.py::test_bitceil[0-N2] PASSED astropy/stats/lombscargle/implementations/tests/test_utils.py::test_bitceil[0-N3] PASSED astropy/stats/lombscargle/implementations/tests/test_utils.py::test_bitceil[0-N4] PASSED astropy/stats/lombscargle/implementations/tests/test_utils.py::test_bitceil[0-N5] PASSED astropy/stats/lombscargle/implementations/tests/test_utils.py::test_bitceil[0-N6] PASSED astropy/stats/lombscargle/implementations/tests/test_utils.py::test_bitceil[0-N7] PASSED astropy/stats/lombscargle/implementations/tests/test_utils.py::test_bitceil[0-N8] PASSED astropy/stats/lombscargle/implementations/tests/test_utils.py::test_bitceil[0-N9] PASSED astropy/stats/lombscargle/implementations/tests/test_utils.py::test_bitceil[0-N10] PASSED astropy/stats/lombscargle/implementations/tests/test_utils.py::test_bitceil[1-N0] PASSED astropy/stats/lombscargle/implementations/tests/test_utils.py::test_bitceil[1-N1] PASSED astropy/stats/lombscargle/implementations/tests/test_utils.py::test_bitceil[1-N2] PASSED astropy/stats/lombscargle/implementations/tests/test_utils.py::test_bitceil[1-N3] PASSED astropy/stats/lombscargle/implementations/tests/test_utils.py::test_bitceil[1-N4] PASSED astropy/stats/lombscargle/implementations/tests/test_utils.py::test_bitceil[1-N5] PASSED astropy/stats/lombscargle/implementations/tests/test_utils.py::test_bitceil[1-N6] PASSED astropy/stats/lombscargle/implementations/tests/test_utils.py::test_bitceil[1-N7] PASSED astropy/stats/lombscargle/implementations/tests/test_utils.py::test_bitceil[1-N8] PASSED astropy/stats/lombscargle/implementations/tests/test_utils.py::test_bitceil[1-N9] PASSED astropy/stats/lombscargle/implementations/tests/test_utils.py::test_bitceil[1-N10] PASSED astropy/stats/lombscargle/implementations/tests/test_utils.py::test_extirpolate[5-100] PASSED astropy/stats/lombscargle/implementations/tests/test_utils.py::test_extirpolate[5-None] PASSED astropy/stats/lombscargle/implementations/tests/test_utils.py::test_extirpolate_with_integers[5-100] PASSED astropy/stats/lombscargle/implementations/tests/test_utils.py::test_extirpolate_with_integers[5-None] PASSED astropy/stats/lombscargle/implementations/tests/test_utils.py::test_trig_sum[0.1-1-True-0] PASSED astropy/stats/lombscargle/implementations/tests/test_utils.py::test_trig_sum[0.1-1-True-1] PASSED astropy/stats/lombscargle/implementations/tests/test_utils.py::test_trig_sum[0.1-1-False-0] PASSED astropy/stats/lombscargle/implementations/tests/test_utils.py::test_trig_sum[0.1-1-False-1] PASSED astropy/stats/lombscargle/implementations/tests/test_utils.py::test_trig_sum[0.1-2-True-0] PASSED astropy/stats/lombscargle/implementations/tests/test_utils.py::test_trig_sum[0.1-2-True-1] PASSED astropy/stats/lombscargle/implementations/tests/test_utils.py::test_trig_sum[0.1-2-False-0] PASSED astropy/stats/lombscargle/implementations/tests/test_utils.py::test_trig_sum[0.1-2-False-1] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_autofrequency[1-1-None-None] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_autofrequency[1-1-None-1.0] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_autofrequency[1-1-5.0-None] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_autofrequency[1-1-5.0-1.0] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_autofrequency[1-10-None-None] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_autofrequency[1-10-None-1.0] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_autofrequency[1-10-5.0-None] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_autofrequency[1-10-5.0-1.0] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_autofrequency[5-1-None-None] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_autofrequency[5-1-None-1.0] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_autofrequency[5-1-5.0-None] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_autofrequency[5-1-5.0-1.0] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_autofrequency[5-10-None-None] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_autofrequency[5-10-None-1.0] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_autofrequency[5-10-5.0-None] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_autofrequency[5-10-5.0-1.0] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-True-True-True-True-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-True-True-True-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-True-True-True-True-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-True-True-True-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-True-True-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-True-True-True-True-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-True-True-True-False-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-True-True-True-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-True-True-True-False-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-True-True-True-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-True-True-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-True-True-True-False-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-True-True-False-True-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-True-True-False-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-True-True-False-True-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-True-True-False-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-True-True-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-True-True-False-True-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-True-True-False-False-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-True-True-False-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-True-True-False-False-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-True-True-False-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-True-True-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-True-True-False-False-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-True-False-True-True-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-True-False-True-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-True-False-True-True-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-True-False-True-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-True-False-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-True-False-True-True-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-True-False-True-False-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-True-False-True-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-True-False-True-False-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-True-False-True-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-True-False-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-True-False-True-False-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-True-False-False-True-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-True-False-False-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-True-False-False-True-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-True-False-False-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-True-False-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-True-False-False-True-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-True-False-False-False-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-True-False-False-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-True-False-False-False-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-True-False-False-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-True-False-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-True-False-False-False-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-False-True-True-True-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-False-True-True-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-False-True-True-True-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-False-True-True-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-False-True-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-False-True-True-True-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-False-True-True-False-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-False-True-True-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-False-True-True-False-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-False-True-True-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-False-True-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-False-True-True-False-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-False-True-False-True-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-False-True-False-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-False-True-False-True-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-False-True-False-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-False-True-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-False-True-False-True-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-False-True-False-False-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-False-True-False-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-False-True-False-False-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-False-True-False-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-False-True-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-False-True-False-False-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-False-False-True-True-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-False-False-True-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-False-False-True-True-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-False-False-True-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-False-False-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-False-False-True-True-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-False-False-True-False-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-False-False-True-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-False-False-True-False-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-False-False-True-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-False-False-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-False-False-True-False-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-False-False-False-True-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-False-False-False-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-False-False-False-True-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-False-False-False-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-False-False-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-False-False-False-True-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-False-False-False-False-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-False-False-False-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-False-False-False-False-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-False-False-False-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-False-False-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[standard-False-False-False-False-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-True-True-True-True-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-True-True-True-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-True-True-True-True-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-True-True-True-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-True-True-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-True-True-True-True-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-True-True-True-False-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-True-True-True-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-True-True-True-False-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-True-True-True-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-True-True-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-True-True-True-False-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-True-True-False-True-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-True-True-False-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-True-True-False-True-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-True-True-False-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-True-True-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-True-True-False-True-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-True-True-False-False-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-True-True-False-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-True-True-False-False-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-True-True-False-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-True-True-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-True-True-False-False-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-True-False-True-True-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-True-False-True-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-True-False-True-True-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-True-False-True-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-True-False-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-True-False-True-True-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-True-False-True-False-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-True-False-True-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-True-False-True-False-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-True-False-True-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-True-False-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-True-False-True-False-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-True-False-False-True-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-True-False-False-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-True-False-False-True-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-True-False-False-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-True-False-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-True-False-False-True-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-True-False-False-False-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-True-False-False-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-True-False-False-False-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-True-False-False-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-True-False-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-True-False-False-False-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-False-True-True-True-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-False-True-True-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-False-True-True-True-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-False-True-True-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-False-True-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-False-True-True-True-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-False-True-True-False-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-False-True-True-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-False-True-True-False-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-False-True-True-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-False-True-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-False-True-True-False-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-False-True-False-True-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-False-True-False-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-False-True-False-True-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-False-True-False-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-False-True-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-False-True-False-True-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-False-True-False-False-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-False-True-False-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-False-True-False-False-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-False-True-False-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-False-True-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-False-True-False-False-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-False-False-True-True-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-False-False-True-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-False-False-True-True-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-False-False-True-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-False-False-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-False-False-True-True-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-False-False-True-False-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-False-False-True-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-False-False-True-False-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-False-False-True-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-False-False-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-False-False-True-False-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-False-False-False-True-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-False-False-False-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-False-False-False-True-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-False-False-False-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-False-False-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-False-False-False-True-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-False-False-False-False-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-False-False-False-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-False-False-False-False-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-False-False-False-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-False-False-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[psd-False-False-False-False-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-True-True-True-True-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-True-True-True-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-True-True-True-True-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-True-True-True-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-True-True-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-True-True-True-True-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-True-True-True-False-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-True-True-True-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-True-True-True-False-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-True-True-True-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-True-True-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-True-True-True-False-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-True-True-False-True-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-True-True-False-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-True-True-False-True-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-True-True-False-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-True-True-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-True-True-False-True-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-True-True-False-False-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-True-True-False-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-True-True-False-False-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-True-True-False-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-True-True-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-True-True-False-False-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-True-False-True-True-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-True-False-True-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-True-False-True-True-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-True-False-True-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-True-False-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-True-False-True-True-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-True-False-True-False-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-True-False-True-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-True-False-True-False-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-True-False-True-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-True-False-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-True-False-True-False-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-True-False-False-True-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-True-False-False-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-True-False-False-True-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-True-False-False-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-True-False-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-True-False-False-True-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-True-False-False-False-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-True-False-False-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-True-False-False-False-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-True-False-False-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-True-False-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-True-False-False-False-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-False-True-True-True-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-False-True-True-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-False-True-True-True-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-False-True-True-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-False-True-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-False-True-True-True-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-False-True-True-False-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-False-True-True-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-False-True-True-False-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-False-True-True-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-False-True-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-False-True-True-False-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-False-True-False-True-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-False-True-False-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-False-True-False-True-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-False-True-False-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-False-True-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-False-True-False-True-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-False-True-False-False-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-False-True-False-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-False-True-False-False-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-False-True-False-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-False-True-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-False-True-False-False-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-False-False-True-True-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-False-False-True-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-False-False-True-True-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-False-False-True-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-False-False-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-False-False-True-True-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-False-False-True-False-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-False-False-True-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-False-False-True-False-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-False-False-True-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-False-False-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-False-False-True-False-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-False-False-False-True-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-False-False-False-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-False-False-False-True-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-False-False-False-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-False-False-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-False-False-False-True-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-False-False-False-False-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-False-False-False-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-False-False-False-False-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-False-False-False-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-False-False-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[log-False-False-False-False-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-True-True-True-True-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-True-True-True-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-True-True-True-True-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-True-True-True-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-True-True-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-True-True-True-True-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-True-True-True-False-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-True-True-True-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-True-True-True-False-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-True-True-True-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-True-True-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-True-True-True-False-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-True-True-False-True-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-True-True-False-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-True-True-False-True-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-True-True-False-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-True-True-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-True-True-False-True-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-True-True-False-False-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-True-True-False-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-True-True-False-False-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-True-True-False-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-True-True-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-True-True-False-False-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-True-False-True-True-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-True-False-True-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-True-False-True-True-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-True-False-True-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-True-False-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-True-False-True-True-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-True-False-True-False-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-True-False-True-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-True-False-True-False-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-True-False-True-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-True-False-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-True-False-True-False-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-True-False-False-True-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-True-False-False-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-True-False-False-True-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-True-False-False-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-True-False-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-True-False-False-True-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-True-False-False-False-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-True-False-False-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-True-False-False-False-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-True-False-False-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-True-False-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-True-False-False-False-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-False-True-True-True-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-False-True-True-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-False-True-True-True-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-False-True-True-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-False-True-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-False-True-True-True-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-False-True-True-False-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-False-True-True-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-False-True-True-False-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-False-True-True-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-False-True-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-False-True-True-False-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-False-True-False-True-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-False-True-False-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-False-True-False-True-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-False-True-False-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-False-True-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-False-True-False-True-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-False-True-False-False-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-False-True-False-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-False-True-False-False-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-False-True-False-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-False-True-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-False-True-False-False-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-False-False-True-True-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-False-False-True-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-False-False-True-True-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-False-False-True-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-False-False-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-False-False-True-True-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-False-False-True-False-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-False-False-True-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-False-False-True-False-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-False-False-True-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-False-False-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-False-False-True-False-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-False-False-False-True-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-False-False-False-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-False-False-False-True-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-False-False-False-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-False-False-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-False-False-False-True-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-False-False-False-False-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-False-False-False-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-False-False-False-False-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-False-False-False-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-False-False-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_all_methods[model-False-False-False-False-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[standard-True-True-True-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[standard-True-True-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[standard-True-True-True-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[standard-True-True-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[standard-True-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[standard-True-True-True-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[standard-True-True-False-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[standard-True-True-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[standard-True-True-False-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[standard-True-True-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[standard-True-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[standard-True-True-False-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[standard-True-False-True-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[standard-True-False-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[standard-True-False-True-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[standard-True-False-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[standard-True-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[standard-True-False-True-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[standard-True-False-False-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[standard-True-False-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[standard-True-False-False-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[standard-True-False-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[standard-True-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[standard-True-False-False-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[standard-False-True-True-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[standard-False-True-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[standard-False-True-True-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[standard-False-True-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[standard-False-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[standard-False-True-True-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[standard-False-True-False-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[standard-False-True-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[standard-False-True-False-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[standard-False-True-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[standard-False-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[standard-False-True-False-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[standard-False-False-True-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[standard-False-False-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[standard-False-False-True-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[standard-False-False-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[standard-False-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[standard-False-False-True-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[standard-False-False-False-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[standard-False-False-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[standard-False-False-False-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[standard-False-False-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[standard-False-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[standard-False-False-False-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[psd-True-True-True-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[psd-True-True-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[psd-True-True-True-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[psd-True-True-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[psd-True-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[psd-True-True-True-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[psd-True-True-False-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[psd-True-True-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[psd-True-True-False-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[psd-True-True-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[psd-True-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[psd-True-True-False-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[psd-True-False-True-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[psd-True-False-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[psd-True-False-True-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[psd-True-False-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[psd-True-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[psd-True-False-True-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[psd-True-False-False-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[psd-True-False-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[psd-True-False-False-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[psd-True-False-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[psd-True-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[psd-True-False-False-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[psd-False-True-True-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[psd-False-True-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[psd-False-True-True-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[psd-False-True-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[psd-False-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[psd-False-True-True-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[psd-False-True-False-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[psd-False-True-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[psd-False-True-False-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[psd-False-True-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[psd-False-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[psd-False-True-False-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[psd-False-False-True-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[psd-False-False-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[psd-False-False-True-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[psd-False-False-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[psd-False-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[psd-False-False-True-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[psd-False-False-False-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[psd-False-False-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[psd-False-False-False-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[psd-False-False-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[psd-False-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[psd-False-False-False-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[log-True-True-True-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[log-True-True-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[log-True-True-True-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[log-True-True-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[log-True-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[log-True-True-True-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[log-True-True-False-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[log-True-True-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[log-True-True-False-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[log-True-True-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[log-True-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[log-True-True-False-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[log-True-False-True-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[log-True-False-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[log-True-False-True-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[log-True-False-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[log-True-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[log-True-False-True-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[log-True-False-False-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[log-True-False-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[log-True-False-False-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[log-True-False-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[log-True-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[log-True-False-False-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[log-False-True-True-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[log-False-True-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[log-False-True-True-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[log-False-True-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[log-False-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[log-False-True-True-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[log-False-True-False-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[log-False-True-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[log-False-True-False-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[log-False-True-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[log-False-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[log-False-True-False-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[log-False-False-True-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[log-False-False-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[log-False-False-True-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[log-False-False-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[log-False-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[log-False-False-True-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[log-False-False-False-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[log-False-False-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[log-False-False-False-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[log-False-False-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[log-False-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[log-False-False-False-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[model-True-True-True-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[model-True-True-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[model-True-True-True-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[model-True-True-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[model-True-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[model-True-True-True-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[model-True-True-False-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[model-True-True-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[model-True-True-False-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[model-True-True-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[model-True-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[model-True-True-False-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[model-True-False-True-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[model-True-False-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[model-True-False-True-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[model-True-False-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[model-True-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[model-True-False-True-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[model-True-False-False-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[model-True-False-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[model-True-False-False-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[model-True-False-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[model-True-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[model-True-False-False-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[model-False-True-True-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[model-False-True-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[model-False-True-True-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[model-False-True-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[model-False-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[model-False-True-True-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[model-False-True-False-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[model-False-True-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[model-False-True-False-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[model-False-True-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[model-False-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[model-False-True-False-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[model-False-False-True-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[model-False-False-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[model-False-False-True-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[model-False-False-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[model-False-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[model-False-False-True-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[model-False-False-False-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[model-False-False-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[model-False-False-False-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[model-False-False-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[model-False-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_integer_inputs[model-False-False-False-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[standard-0-True-True-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[standard-0-True-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[standard-0-True-True-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[standard-0-True-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[standard-0-True-False-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[standard-0-True-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[standard-0-True-False-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[standard-0-True-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[standard-0-False-True-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[standard-0-False-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[standard-0-False-True-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[standard-0-False-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[standard-0-False-False-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[standard-0-False-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[standard-0-False-False-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[standard-0-False-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[standard-2-True-True-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[standard-2-True-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[standard-2-True-True-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[standard-2-True-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[standard-2-True-False-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[standard-2-True-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[standard-2-True-False-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[standard-2-True-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[standard-2-False-True-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[standard-2-False-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[standard-2-False-True-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[standard-2-False-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[standard-2-False-False-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[standard-2-False-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[standard-2-False-False-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[standard-2-False-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[standard-4-True-True-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[standard-4-True-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[standard-4-True-True-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[standard-4-True-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[standard-4-True-False-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[standard-4-True-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[standard-4-True-False-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[standard-4-True-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[standard-4-False-True-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[standard-4-False-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[standard-4-False-True-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[standard-4-False-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[standard-4-False-False-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[standard-4-False-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[standard-4-False-False-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[standard-4-False-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[psd-0-True-True-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[psd-0-True-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[psd-0-True-True-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[psd-0-True-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[psd-0-True-False-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[psd-0-True-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[psd-0-True-False-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[psd-0-True-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[psd-0-False-True-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[psd-0-False-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[psd-0-False-True-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[psd-0-False-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[psd-0-False-False-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[psd-0-False-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[psd-0-False-False-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[psd-0-False-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[psd-2-True-True-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[psd-2-True-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[psd-2-True-True-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[psd-2-True-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[psd-2-True-False-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[psd-2-True-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[psd-2-True-False-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[psd-2-True-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[psd-2-False-True-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[psd-2-False-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[psd-2-False-True-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[psd-2-False-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[psd-2-False-False-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[psd-2-False-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[psd-2-False-False-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[psd-2-False-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[psd-4-True-True-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[psd-4-True-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[psd-4-True-True-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[psd-4-True-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[psd-4-True-False-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[psd-4-True-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[psd-4-True-False-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[psd-4-True-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[psd-4-False-True-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[psd-4-False-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[psd-4-False-True-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[psd-4-False-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[psd-4-False-False-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[psd-4-False-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[psd-4-False-False-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[psd-4-False-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[log-0-True-True-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[log-0-True-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[log-0-True-True-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[log-0-True-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[log-0-True-False-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[log-0-True-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[log-0-True-False-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[log-0-True-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[log-0-False-True-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[log-0-False-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[log-0-False-True-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[log-0-False-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[log-0-False-False-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[log-0-False-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[log-0-False-False-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[log-0-False-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[log-2-True-True-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[log-2-True-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[log-2-True-True-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[log-2-True-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[log-2-True-False-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[log-2-True-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[log-2-True-False-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[log-2-True-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[log-2-False-True-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[log-2-False-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[log-2-False-True-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[log-2-False-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[log-2-False-False-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[log-2-False-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[log-2-False-False-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[log-2-False-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[log-4-True-True-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[log-4-True-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[log-4-True-True-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[log-4-True-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[log-4-True-False-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[log-4-True-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[log-4-True-False-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[log-4-True-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[log-4-False-True-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[log-4-False-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[log-4-False-True-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[log-4-False-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[log-4-False-False-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[log-4-False-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[log-4-False-False-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[log-4-False-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[model-0-True-True-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[model-0-True-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[model-0-True-True-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[model-0-True-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[model-0-True-False-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[model-0-True-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[model-0-True-False-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[model-0-True-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[model-0-False-True-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[model-0-False-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[model-0-False-True-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[model-0-False-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[model-0-False-False-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[model-0-False-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[model-0-False-False-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[model-0-False-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[model-2-True-True-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[model-2-True-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[model-2-True-True-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[model-2-True-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[model-2-True-False-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[model-2-True-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[model-2-True-False-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[model-2-True-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[model-2-False-True-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[model-2-False-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[model-2-False-True-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[model-2-False-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[model-2-False-False-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[model-2-False-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[model-2-False-False-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[model-2-False-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[model-4-True-True-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[model-4-True-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[model-4-True-True-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[model-4-True-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[model-4-True-False-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[model-4-True-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[model-4-True-False-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[model-4-True-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[model-4-False-True-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[model-4-False-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[model-4-False-True-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[model-4-False-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[model-4-False-False-True-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[model-4-False-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[model-4-False-False-False-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_nterms_methods[model-4-False-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_fast_approximations[0-True-True-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_fast_approximations[0-True-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_fast_approximations[0-True-True-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_fast_approximations[0-True-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_fast_approximations[0-True-False-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_fast_approximations[0-True-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_fast_approximations[0-True-False-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_fast_approximations[0-True-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_fast_approximations[0-False-True-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_fast_approximations[0-False-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_fast_approximations[0-False-True-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_fast_approximations[0-False-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_fast_approximations[0-False-False-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_fast_approximations[0-False-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_fast_approximations[0-False-False-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_fast_approximations[0-False-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_fast_approximations[1-True-True-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_fast_approximations[1-True-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_fast_approximations[1-True-True-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_fast_approximations[1-True-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_fast_approximations[1-True-False-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_fast_approximations[1-True-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_fast_approximations[1-True-False-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_fast_approximations[1-True-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_fast_approximations[1-False-True-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_fast_approximations[1-False-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_fast_approximations[1-False-True-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_fast_approximations[1-False-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_fast_approximations[1-False-False-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_fast_approximations[1-False-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_fast_approximations[1-False-False-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_fast_approximations[1-False-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_fast_approximations[2-True-True-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_fast_approximations[2-True-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_fast_approximations[2-True-True-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_fast_approximations[2-True-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_fast_approximations[2-True-False-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_fast_approximations[2-True-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_fast_approximations[2-True-False-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_fast_approximations[2-True-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_fast_approximations[2-False-True-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_fast_approximations[2-False-True-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_fast_approximations[2-False-True-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_fast_approximations[2-False-True-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_fast_approximations[2-False-False-True-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_fast_approximations[2-False-False-True-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_fast_approximations[2-False-False-False-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_fast_approximations[2-False-False-False-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_output_shapes[shape0-auto] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_output_shapes[shape0-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_output_shapes[shape0-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_output_shapes[shape0-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_output_shapes[shape0-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_output_shapes[shape0-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_output_shapes[shape0-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_output_shapes[shape1-auto] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_output_shapes[shape1-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_output_shapes[shape1-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_output_shapes[shape1-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_output_shapes[shape1-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_output_shapes[shape1-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_output_shapes[shape1-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_output_shapes[shape2-auto] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_output_shapes[shape2-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_output_shapes[shape2-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_output_shapes[shape2-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_output_shapes[shape2-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_output_shapes[shape2-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_output_shapes[shape2-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_output_shapes[shape3-auto] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_output_shapes[shape3-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_output_shapes[shape3-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_output_shapes[shape3-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_output_shapes[shape3-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_output_shapes[shape3-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_output_shapes[shape3-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_output_shapes[shape4-auto] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_output_shapes[shape4-slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_output_shapes[shape4-chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_output_shapes[shape4-cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_output_shapes[shape4-fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_output_shapes[shape4-fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_output_shapes[shape4-scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_errors_on_unit_mismatch[auto] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_errors_on_unit_mismatch[slow] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_errors_on_unit_mismatch[chi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_errors_on_unit_mismatch[cython] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_errors_on_unit_mismatch[fast] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_errors_on_unit_mismatch[fastchi2] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_errors_on_unit_mismatch[scipy] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_unit_conversions[True-standard-True-True] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_unit_conversions[True-standard-True-False] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_unit_conversions[True-standard-False-True] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_unit_conversions[True-standard-False-False] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_unit_conversions[True-psd-True-True] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_unit_conversions[True-psd-True-False] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_unit_conversions[True-psd-False-True] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_unit_conversions[True-psd-False-False] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_unit_conversions[False-standard-True-True] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_unit_conversions[False-standard-True-False] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_unit_conversions[False-standard-False-True] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_unit_conversions[False-standard-False-False] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_unit_conversions[False-psd-True-True] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_unit_conversions[False-psd-True-False] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_unit_conversions[False-psd-False-True] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_unit_conversions[False-psd-False-False] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_model[1.0-True-True] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_model[1.0-True-False] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_model[1.0-False-True] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_model[1.0-False-False] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_model[2.0-True-True] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_model[2.0-True-False] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_model[2.0-False-True] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_model[2.0-False-False] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_model_units_match[y_unit0-frequency_unit0-t_unit0] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_model_units_match[y_unit0-frequency_unit0-t_unit1] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_model_units_match[y_unit0-frequency_unit1-t_unit0] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_model_units_match[y_unit0-frequency_unit1-t_unit1] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_model_units_match[y_unit1-frequency_unit0-t_unit0] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_model_units_match[y_unit1-frequency_unit0-t_unit1] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_model_units_match[y_unit1-frequency_unit1-t_unit0] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_model_units_match[y_unit1-frequency_unit1-t_unit1] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_model_units_mismatch PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_autopower PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_distribution[standard] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_distribution[psd] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_distribution[log] PASSED astropy/stats/lombscargle/tests/test_lombscargle.py::test_distribution[model] PASSED astropy/stats/tests/test_bayesian_blocks.py::test_single_change_point PASSED astropy/stats/tests/test_bayesian_blocks.py::test_duplicate_events PASSED astropy/stats/tests/test_bayesian_blocks.py::test_measures_fitness_homoscedastic PASSED astropy/stats/tests/test_bayesian_blocks.py::test_measures_fitness_heteroscedastic PASSED astropy/stats/tests/test_bayesian_blocks.py::test_regular_events PASSED astropy/stats/tests/test_bayesian_blocks.py::test_errors PASSED astropy/stats/tests/test_bayesian_blocks.py::test_fitness_function_results PASSED astropy/stats/tests/test_biweight.py::test_biweight_location PASSED astropy/stats/tests/test_biweight.py::test_biweight_location_small PASSED astropy/stats/tests/test_biweight.py::test_biweight_location_axis PASSED astropy/stats/tests/test_biweight.py::test_biweight_location_axis_3d PASSED astropy/stats/tests/test_biweight.py::test_biweight_scale PASSED astropy/stats/tests/test_biweight.py::test_biweight_midvariance PASSED astropy/stats/tests/test_biweight.py::test_biweight_midvariance_small PASSED astropy/stats/tests/test_biweight.py::test_biweight_midvariance_5127 PASSED astropy/stats/tests/test_biweight.py::test_biweight_midvariance_axis PASSED astropy/stats/tests/test_biweight.py::test_biweight_midvariance_axis_3d PASSED astropy/stats/tests/test_biweight.py::test_biweight_midcovariance_1d PASSED astropy/stats/tests/test_biweight.py::test_biweight_midcovariance_2d PASSED astropy/stats/tests/test_biweight.py::test_biweight_midcovariance_midvariance PASSED astropy/stats/tests/test_biweight.py::test_midcovariance_shape PASSED astropy/stats/tests/test_biweight.py::test_midcovariance_M_shape PASSED astropy/stats/tests/test_biweight.py::test_biweight_midcovariance_symmetric PASSED astropy/stats/tests/test_biweight.py::test_biweight_midcorrelation PASSED astropy/stats/tests/test_biweight.py::test_biweight_midcorrelation_inputs PASSED astropy/stats/tests/test_circstats.py::test__length PASSED astropy/stats/tests/test_circstats.py::test_circmean PASSED astropy/stats/tests/test_circstats.py::test_circmean_against_scipy PASSED astropy/stats/tests/test_circstats.py::test_circvar PASSED astropy/stats/tests/test_circstats.py::test_circmoment PASSED astropy/stats/tests/test_circstats.py::test_circcorrcoef PASSED astropy/stats/tests/test_circstats.py::test_rayleightest PASSED astropy/stats/tests/test_circstats.py::test_vtest PASSED astropy/stats/tests/test_circstats.py::test_vonmisesmle PASSED astropy/stats/tests/test_funcs.py::test_median_absolute_deviation PASSED astropy/stats/tests/test_funcs.py::test_median_absolute_deviation_masked PASSED astropy/stats/tests/test_funcs.py::test_median_absolute_deviation_nans PASSED astropy/stats/tests/test_funcs.py::test_median_absolute_deviation_multidim_axis PASSED astropy/stats/tests/test_funcs.py::test_median_absolute_deviation_quantity PASSED astropy/stats/tests/test_funcs.py::test_binom_conf_interval PASSED astropy/stats/tests/test_funcs.py::test_binned_binom_proportion PASSED astropy/stats/tests/test_funcs.py::test_signal_to_noise_oir_ccd PASSED astropy/stats/tests/test_funcs.py::test_bootstrap PASSED astropy/stats/tests/test_funcs.py::test_bootstrap_multiple_outputs PASSED astropy/stats/tests/test_funcs.py::test_mad_std PASSED astropy/stats/tests/test_funcs.py::test_mad_std_scalar_return xfail astropy/stats/tests/test_funcs.py::test_mad_std_warns PASSED astropy/stats/tests/test_funcs.py::test_mad_std_withnan PASSED astropy/stats/tests/test_funcs.py::test_mad_std_with_axis PASSED astropy/stats/tests/test_funcs.py::test_mad_std_with_axis_and_nan PASSED astropy/stats/tests/test_funcs.py::test_mad_std_with_axis_and_nan_array_type PASSED astropy/stats/tests/test_funcs.py::test_gaussian_fwhm_to_sigma PASSED astropy/stats/tests/test_funcs.py::test_gaussian_sigma_to_fwhm PASSED astropy/stats/tests/test_funcs.py::test_gaussian_sigma_to_fwhm_to_sigma PASSED astropy/stats/tests/test_funcs.py::test_poisson_conf_interval_rootn PASSED astropy/stats/tests/test_funcs.py::test_poisson_conf_large[root-n-0] PASSED astropy/stats/tests/test_funcs.py::test_poisson_conf_large[pearson] PASSED astropy/stats/tests/test_funcs.py::test_poisson_conf_large[sherpagehrels] PASSED astropy/stats/tests/test_funcs.py::test_poisson_conf_large[frequentist-confidence] PASSED astropy/stats/tests/test_funcs.py::test_poisson_conf_array_rootn0_zero PASSED astropy/stats/tests/test_funcs.py::test_poisson_conf_array_frequentist_confidence_zero PASSED astropy/stats/tests/test_funcs.py::test_poisson_conf_list_rootn0_zero PASSED astropy/stats/tests/test_funcs.py::test_poisson_conf_array_rootn0 PASSED astropy/stats/tests/test_funcs.py::test_poisson_conf_array_fc PASSED astropy/stats/tests/test_funcs.py::test_poisson_conf_frequentist_confidence_gehrels PASSED astropy/stats/tests/test_funcs.py::test_poisson_conf_frequentist_confidence_gehrels_2sigma PASSED astropy/stats/tests/test_funcs.py::test_poisson_conf_frequentist_confidence_gehrels_3sigma PASSED astropy/stats/tests/test_funcs.py::test_poisson_conf_gehrels86[0] PASSED astropy/stats/tests/test_funcs.py::test_poisson_conf_gehrels86[1] PASSED astropy/stats/tests/test_funcs.py::test_poisson_conf_gehrels86[2] PASSED astropy/stats/tests/test_funcs.py::test_poisson_conf_gehrels86[3] PASSED astropy/stats/tests/test_funcs.py::test_poisson_conf_gehrels86[10] PASSED astropy/stats/tests/test_funcs.py::test_poisson_conf_gehrels86[20] PASSED astropy/stats/tests/test_funcs.py::test_poisson_conf_gehrels86[100] PASSED astropy/stats/tests/test_funcs.py::test_scipy_poisson_limit PASSED astropy/stats/tests/test_funcs.py::test_mpmath_poisson_limit SKIPPED astropy/stats/tests/test_funcs.py::test_poisson_conf_value_errors PASSED astropy/stats/tests/test_funcs.py::test_poisson_conf_kbn_value_errors PASSED astropy/stats/tests/test_funcs.py::test_poisson_limit_nodependencies SKIPPED astropy/stats/tests/test_histogram.py::test_scott_bin_width PASSED astropy/stats/tests/test_histogram.py::test_freedman_bin_width PASSED astropy/stats/tests/test_histogram.py::test_knuth_bin_width PASSED astropy/stats/tests/test_histogram.py::test_knuth_histogram PASSED astropy/stats/tests/test_histogram.py::test_histogram PASSED astropy/stats/tests/test_histogram.py::test_histogram_range PASSED astropy/stats/tests/test_histogram.py::test_histogram_output_knuth PASSED astropy/stats/tests/test_histogram.py::test_histogram_output PASSED astropy/stats/tests/test_histogram.py::test_histogram_badargs PASSED astropy/stats/tests/test_info_theory.py::test_bayesian_info_criterion PASSED astropy/stats/tests/test_info_theory.py::test_akaike_info_criterion PASSED astropy/stats/tests/test_info_theory.py::test_akaike_info_criterion_lsq PASSED astropy/stats/tests/test_info_theory.py::test_bayesian_info_criterion_lsq PASSED astropy/stats/tests/test_jackknife.py::test_jackknife_resampling PASSED astropy/stats/tests/test_jackknife.py::test_jackknife_stats PASSED astropy/stats/tests/test_jackknife.py::test_jackknife_stats_conf_interval PASSED astropy/stats/tests/test_sigma_clipping.py::test_sigma_clip PASSED astropy/stats/tests/test_sigma_clipping.py::test_compare_to_scipy_sigmaclip PASSED astropy/stats/tests/test_sigma_clipping.py::test_sigma_clip_scalar_mask PASSED astropy/stats/tests/test_sigma_clipping.py::test_sigma_clip_class PASSED astropy/stats/tests/test_sigma_clipping.py::test_sigma_clipped_stats PASSED astropy/stats/tests/test_sigma_clipping.py::test_sigma_clipped_stats_ddof PASSED astropy/stats/tests/test_sigma_clipping.py::test_invalid_sigma_clip PASSED astropy/stats/tests/test_sigma_clipping.py::test_sigmaclip_negative_axis PASSED astropy/stats/tests/test_sigma_clipping.py::test_sigmaclip_fully_masked PASSED astropy/stats/tests/test_sigma_clipping.py::test_sigmaclip_empty_masked PASSED astropy/stats/tests/test_sigma_clipping.py::test_sigmaclip_empty PASSED astropy/stats/tests/test_spatial.py::test_ripley_K_implementation[points0-0-10] PASSED astropy/stats/tests/test_spatial.py::test_ripley_K_implementation[points1--5-5] PASSED astropy/stats/tests/test_spatial.py::test_ripley_uniform_property[points0] PASSED astropy/stats/tests/test_spatial.py::test_ripley_uniform_property[points1] PASSED astropy/stats/tests/test_spatial.py::test_ripley_large_density[points0-0-1] PASSED astropy/stats/tests/test_spatial.py::test_ripley_large_density[points1--1-0] PASSED astropy/stats/tests/test_spatial.py::test_ripley_modes[points0-5-10] PASSED astropy/stats/tests/test_spatial.py::test_ripley_modes[points1--10--5] PASSED astropy/stats/tests/test_spatial.py::test_ripley_large_density_var_width[points0-0-1] PASSED astropy/stats/tests/test_spatial.py::test_ripley_large_density_var_width[points1--1-0] PASSED astropy/stats/tests/test_spatial.py::test_ripley_var_width[points0-5-10] PASSED astropy/stats/tests/test_spatial.py::test_ripley_var_width[points1--10--5] PASSED astropy/table/info.py::astropy.table.info.TableInfo.__call__ PASSED astropy/table/info.py::astropy.table.info.table_info PASSED astropy/table/meta.py::astropy.table.meta._construct_odict SKIPPED astropy/table/meta.py::astropy.table.meta._repr_odict PASSED astropy/table/operations.py::astropy.table.operations.hstack PASSED astropy/table/operations.py::astropy.table.operations.unique PASSED astropy/table/operations.py::astropy.table.operations.vstack PASSED astropy/table/row.py::astropy.table.row.Row PASSED astropy/table/table.py::astropy.table.table.Table.add_column PASSED astropy/table/table.py::astropy.table.table.Table.add_columns PASSED astropy/table/table.py::astropy.table.table.Table.add_row PASSED astropy/table/table.py::astropy.table.table.Table.index_column PASSED astropy/table/table.py::astropy.table.table.Table.itercols PASSED astropy/table/table.py::astropy.table.table.Table.keep_columns PASSED astropy/table/table.py::astropy.table.table.Table.remove_column PASSED astropy/table/table.py::astropy.table.table.Table.remove_columns PASSED astropy/table/table.py::astropy.table.table.Table.remove_row PASSED astropy/table/table.py::astropy.table.table.Table.remove_rows PASSED astropy/table/table.py::astropy.table.table.Table.rename_column PASSED astropy/table/table.py::astropy.table.table.Table.replace_column PASSED astropy/table/table.py::astropy.table.table.Table.reverse PASSED astropy/table/table.py::astropy.table.table.Table.sort PASSED astropy/table/table_helpers.py::astropy.table.table_helpers.simple_table PASSED astropy/table/tests/test_array.py::test_array_find PASSED astropy/table/tests/test_array.py::test_array_range PASSED astropy/table/tests/test_array.py::test_wide_array PASSED astropy/table/tests/test_bst.py::test_bst_add PASSED astropy/table/tests/test_bst.py::test_bst_dimensions PASSED astropy/table/tests/test_bst.py::test_bst_find PASSED astropy/table/tests/test_bst.py::test_bst_traverse PASSED astropy/table/tests/test_bst.py::test_bst_remove PASSED astropy/table/tests/test_bst.py::test_bst_duplicate PASSED astropy/table/tests/test_bst.py::test_bst_range PASSED astropy/table/tests/test_column.py::TestColumn::test_subclass[Column] PASSED astropy/table/tests/test_column.py::TestColumn::test_subclass[MaskedColumn] PASSED astropy/table/tests/test_column.py::TestColumn::test_numpy_ops[Column] PASSED astropy/table/tests/test_column.py::TestColumn::test_numpy_ops[MaskedColumn] PASSED astropy/table/tests/test_column.py::TestColumn::test_numpy_boolean_ufuncs[Column] PASSED astropy/table/tests/test_column.py::TestColumn::test_numpy_boolean_ufuncs[MaskedColumn] PASSED astropy/table/tests/test_column.py::TestColumn::test_view[Column] PASSED astropy/table/tests/test_column.py::TestColumn::test_view[MaskedColumn] PASSED astropy/table/tests/test_column.py::TestColumn::test_format[Column] PASSED astropy/table/tests/test_column.py::TestColumn::test_format[MaskedColumn] PASSED astropy/table/tests/test_column.py::TestColumn::test_convert_numpy_array[Column] PASSED astropy/table/tests/test_column.py::TestColumn::test_convert_numpy_array[MaskedColumn] PASSED astropy/table/tests/test_column.py::TestColumn::test_convert_unit[Column] PASSED astropy/table/tests/test_column.py::TestColumn::test_convert_unit[MaskedColumn] PASSED astropy/table/tests/test_column.py::TestColumn::test_array_wrap PASSED astropy/table/tests/test_column.py::TestColumn::test_name_none[Column] PASSED astropy/table/tests/test_column.py::TestColumn::test_name_none[MaskedColumn] PASSED astropy/table/tests/test_column.py::TestColumn::test_quantity_init[Column] PASSED astropy/table/tests/test_column.py::TestColumn::test_quantity_init[MaskedColumn] PASSED astropy/table/tests/test_column.py::TestColumn::test_attrs_survive_getitem_after_change[Column] PASSED astropy/table/tests/test_column.py::TestColumn::test_attrs_survive_getitem_after_change[MaskedColumn] PASSED astropy/table/tests/test_column.py::TestColumn::test_to_quantity[Column] PASSED astropy/table/tests/test_column.py::TestColumn::test_to_quantity[MaskedColumn] PASSED astropy/table/tests/test_column.py::TestColumn::test_item_access_type[Column] PASSED astropy/table/tests/test_column.py::TestColumn::test_item_access_type[MaskedColumn] PASSED astropy/table/tests/test_column.py::TestColumn::test_insert_basic[Column] PASSED astropy/table/tests/test_column.py::TestColumn::test_insert_basic[MaskedColumn] PASSED astropy/table/tests/test_column.py::TestColumn::test_insert_axis[Column] PASSED astropy/table/tests/test_column.py::TestColumn::test_insert_axis[MaskedColumn] PASSED astropy/table/tests/test_column.py::TestColumn::test_insert_multidim[Column] PASSED astropy/table/tests/test_column.py::TestColumn::test_insert_multidim[MaskedColumn] PASSED astropy/table/tests/test_column.py::TestColumn::test_insert_object[Column] PASSED astropy/table/tests/test_column.py::TestColumn::test_insert_object[MaskedColumn] PASSED astropy/table/tests/test_column.py::TestColumn::test_insert_masked PASSED astropy/table/tests/test_column.py::TestColumn::test_insert_masked_multidim PASSED astropy/table/tests/test_column.py::TestColumn::test_mask_on_non_masked_table PASSED astropy/table/tests/test_column.py::TestAttrEqual::test_5[Column] PASSED astropy/table/tests/test_column.py::TestAttrEqual::test_5[MaskedColumn] PASSED astropy/table/tests/test_column.py::TestAttrEqual::test_6[Column] PASSED astropy/table/tests/test_column.py::TestAttrEqual::test_6[MaskedColumn] PASSED astropy/table/tests/test_column.py::TestAttrEqual::test_7[Column] PASSED astropy/table/tests/test_column.py::TestAttrEqual::test_7[MaskedColumn] PASSED astropy/table/tests/test_column.py::TestAttrEqual::test_8[Column] PASSED astropy/table/tests/test_column.py::TestAttrEqual::test_8[MaskedColumn] PASSED astropy/table/tests/test_column.py::TestAttrEqual::test_9[Column] PASSED astropy/table/tests/test_column.py::TestAttrEqual::test_9[MaskedColumn] PASSED astropy/table/tests/test_column.py::TestAttrEqual::test_10[Column] PASSED astropy/table/tests/test_column.py::TestAttrEqual::test_10[MaskedColumn] PASSED astropy/table/tests/test_column.py::TestAttrEqual::test_11[Column] PASSED astropy/table/tests/test_column.py::TestAttrEqual::test_11[MaskedColumn] PASSED astropy/table/tests/test_column.py::TestAttrEqual::test_12[Column] PASSED astropy/table/tests/test_column.py::TestAttrEqual::test_12[MaskedColumn] PASSED astropy/table/tests/test_column.py::TestAttrEqual::test_13[Column] PASSED astropy/table/tests/test_column.py::TestAttrEqual::test_13[MaskedColumn] PASSED astropy/table/tests/test_column.py::TestAttrEqual::test_col_and_masked_col PASSED astropy/table/tests/test_column.py::TestMetaColumn::test_none <- lib.linux-x86_64-3.6/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_column.py::TestMetaColumn::test_mapping_init[meta0] <- lib.linux-x86_64-3.6/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_column.py::TestMetaColumn::test_mapping_init[meta1] <- lib.linux-x86_64-3.6/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_column.py::TestMetaColumn::test_mapping_init[meta2] <- lib.linux-x86_64-3.6/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_column.py::TestMetaColumn::test_non_mapping_init[ceci n'est pas un meta] <- lib.linux-x86_64-3.6/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_column.py::TestMetaColumn::test_non_mapping_init[1.2] <- lib.linux-x86_64-3.6/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_column.py::TestMetaColumn::test_non_mapping_init[meta2] <- lib.linux-x86_64-3.6/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_column.py::TestMetaColumn::test_mapping_set[meta0] <- lib.linux-x86_64-3.6/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_column.py::TestMetaColumn::test_mapping_set[meta1] <- lib.linux-x86_64-3.6/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_column.py::TestMetaColumn::test_mapping_set[meta2] <- lib.linux-x86_64-3.6/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_column.py::TestMetaColumn::test_non_mapping_set[ceci n'est pas un meta] <- lib.linux-x86_64-3.6/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_column.py::TestMetaColumn::test_non_mapping_set[1.2] <- lib.linux-x86_64-3.6/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_column.py::TestMetaColumn::test_non_mapping_set[meta2] <- lib.linux-x86_64-3.6/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_column.py::TestMetaColumn::test_meta_fits_header <- lib.linux-x86_64-3.6/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_column.py::TestMetaMaskedColumn::test_none <- lib.linux-x86_64-3.6/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_column.py::TestMetaMaskedColumn::test_mapping_init[meta0] <- lib.linux-x86_64-3.6/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_column.py::TestMetaMaskedColumn::test_mapping_init[meta1] <- lib.linux-x86_64-3.6/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_column.py::TestMetaMaskedColumn::test_mapping_init[meta2] <- lib.linux-x86_64-3.6/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_column.py::TestMetaMaskedColumn::test_non_mapping_init[ceci n'est pas un meta] <- lib.linux-x86_64-3.6/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_column.py::TestMetaMaskedColumn::test_non_mapping_init[1.2] <- lib.linux-x86_64-3.6/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_column.py::TestMetaMaskedColumn::test_non_mapping_init[meta2] <- lib.linux-x86_64-3.6/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_column.py::TestMetaMaskedColumn::test_mapping_set[meta0] <- lib.linux-x86_64-3.6/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_column.py::TestMetaMaskedColumn::test_mapping_set[meta1] <- lib.linux-x86_64-3.6/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_column.py::TestMetaMaskedColumn::test_mapping_set[meta2] <- lib.linux-x86_64-3.6/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_column.py::TestMetaMaskedColumn::test_non_mapping_set[ceci n'est pas un meta] <- lib.linux-x86_64-3.6/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_column.py::TestMetaMaskedColumn::test_non_mapping_set[1.2] <- lib.linux-x86_64-3.6/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_column.py::TestMetaMaskedColumn::test_non_mapping_set[meta2] <- lib.linux-x86_64-3.6/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_column.py::TestMetaMaskedColumn::test_meta_fits_header <- lib.linux-x86_64-3.6/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_column.py::test_getitem_metadata_regression PASSED astropy/table/tests/test_column.py::test_unicode_guidelines PASSED astropy/table/tests/test_column.py::test_scalar_column PASSED astropy/table/tests/test_column.py::test_qtable_column_conversion PASSED astropy/table/tests/test_column.py::test_string_truncation_warning[True] PASSED astropy/table/tests/test_column.py::test_string_truncation_warning[False] PASSED astropy/table/tests/test_column.py::test_string_truncation_warning_masked PASSED astropy/table/tests/test_column.py::test_col_unicode_sandwich_create_from_str[Column] PASSED astropy/table/tests/test_column.py::test_col_unicode_sandwich_create_from_str[MaskedColumn] PASSED astropy/table/tests/test_column.py::test_col_unicode_sandwich_bytes[Column] PASSED astropy/table/tests/test_column.py::test_col_unicode_sandwich_bytes[MaskedColumn] PASSED astropy/table/tests/test_column.py::test_col_unicode_sandwich_unicode PASSED astropy/table/tests/test_column.py::test_masked_col_unicode_sandwich PASSED astropy/table/tests/test_column.py::test_unicode_sandwich_set[Column] PASSED astropy/table/tests/test_column.py::test_unicode_sandwich_set[MaskedColumn] PASSED astropy/table/tests/test_groups.py::test_column_group_by[False] PASSED astropy/table/tests/test_groups.py::test_column_group_by[True] PASSED astropy/table/tests/test_groups.py::test_table_group_by[False] PASSED astropy/table/tests/test_groups.py::test_table_group_by[True] PASSED astropy/table/tests/test_groups.py::test_groups_keys[False] PASSED astropy/table/tests/test_groups.py::test_groups_keys[True] PASSED astropy/table/tests/test_groups.py::test_groups_iterator[False] PASSED astropy/table/tests/test_groups.py::test_groups_iterator[True] PASSED astropy/table/tests/test_groups.py::test_grouped_copy[False] PASSED astropy/table/tests/test_groups.py::test_grouped_copy[True] PASSED astropy/table/tests/test_groups.py::test_grouped_slicing[False] PASSED astropy/table/tests/test_groups.py::test_grouped_slicing[True] PASSED astropy/table/tests/test_groups.py::test_group_column_from_table[False] PASSED astropy/table/tests/test_groups.py::test_group_column_from_table[True] PASSED astropy/table/tests/test_groups.py::test_table_groups_mask_index[False] PASSED astropy/table/tests/test_groups.py::test_table_groups_mask_index[True] PASSED astropy/table/tests/test_groups.py::test_table_groups_array_index[False] PASSED astropy/table/tests/test_groups.py::test_table_groups_array_index[True] PASSED astropy/table/tests/test_groups.py::test_table_groups_slicing[False] PASSED astropy/table/tests/test_groups.py::test_table_groups_slicing[True] PASSED astropy/table/tests/test_groups.py::test_grouped_item_access[False] PASSED astropy/table/tests/test_groups.py::test_grouped_item_access[True] PASSED astropy/table/tests/test_groups.py::test_mutable_operations[False] PASSED astropy/table/tests/test_groups.py::test_mutable_operations[True] PASSED astropy/table/tests/test_groups.py::test_group_by_masked[False] PASSED astropy/table/tests/test_groups.py::test_group_by_masked[True] PASSED astropy/table/tests/test_groups.py::test_group_by_errors[False] PASSED astropy/table/tests/test_groups.py::test_group_by_errors[True] PASSED astropy/table/tests/test_groups.py::test_groups_keys_meta[False] PASSED astropy/table/tests/test_groups.py::test_groups_keys_meta[True] PASSED astropy/table/tests/test_groups.py::test_table_aggregate[False] PASSED astropy/table/tests/test_groups.py::test_table_aggregate[True] PASSED astropy/table/tests/test_groups.py::test_table_aggregate_reduceat[False] PASSED astropy/table/tests/test_groups.py::test_table_aggregate_reduceat[True] PASSED astropy/table/tests/test_groups.py::test_column_aggregate[False] PASSED astropy/table/tests/test_groups.py::test_column_aggregate[True] PASSED astropy/table/tests/test_groups.py::test_table_filter PASSED astropy/table/tests/test_groups.py::test_column_filter PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[unmasked-main_col0-BST0-False] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[unmasked-main_col0-BST0-True] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[unmasked-main_col0-BST1-False] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[unmasked-main_col0-BST1-True] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[unmasked-main_col0-SortedArray-False] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[unmasked-main_col0-SortedArray-True] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[unmasked-main_col1-BST0-False] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[unmasked-main_col1-BST0-True] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[unmasked-main_col1-BST1-False] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[unmasked-main_col1-BST1-True] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[unmasked-main_col1-SortedArray-False] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[unmasked-main_col1-SortedArray-True] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[unmasked-main_col2-BST0-False] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[unmasked-main_col2-BST0-True] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[unmasked-main_col2-BST1-False] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[unmasked-main_col2-BST1-True] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[unmasked-main_col2-SortedArray-False] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[unmasked-main_col2-SortedArray-True] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[masked-main_col0-BST0-False] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[masked-main_col0-BST0-True] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[masked-main_col0-BST1-False] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[masked-main_col0-BST1-True] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[masked-main_col0-SortedArray-False] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[masked-main_col0-SortedArray-True] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[masked-main_col1-BST0-False] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[masked-main_col1-BST0-True] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[masked-main_col1-BST1-False] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[masked-main_col1-BST1-True] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[masked-main_col1-SortedArray-False] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[masked-main_col1-SortedArray-True] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[masked-main_col2-BST0-False] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[masked-main_col2-BST0-True] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[masked-main_col2-BST1-False] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[masked-main_col2-BST1-True] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[masked-main_col2-SortedArray-False] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[masked-main_col2-SortedArray-True] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[subclass-main_col0-BST0-False] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[subclass-main_col0-BST0-True] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[subclass-main_col0-BST1-False] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[subclass-main_col0-BST1-True] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[subclass-main_col0-SortedArray-False] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[subclass-main_col0-SortedArray-True] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[subclass-main_col1-BST0-False] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[subclass-main_col1-BST0-True] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[subclass-main_col1-BST1-False] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[subclass-main_col1-BST1-True] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[subclass-main_col1-SortedArray-False] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[subclass-main_col1-SortedArray-True] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[subclass-main_col2-BST0-False] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[subclass-main_col2-BST0-True] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[subclass-main_col2-BST1-False] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[subclass-main_col2-BST1-True] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[subclass-main_col2-SortedArray-False] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_index[subclass-main_col2-SortedArray-True] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_slicing[unmasked-main_col0-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_slicing[unmasked-main_col0-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_slicing[unmasked-main_col0-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_slicing[unmasked-main_col1-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_slicing[unmasked-main_col1-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_slicing[unmasked-main_col1-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_slicing[unmasked-main_col2-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_slicing[unmasked-main_col2-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_slicing[unmasked-main_col2-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_slicing[masked-main_col0-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_slicing[masked-main_col0-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_slicing[masked-main_col0-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_slicing[masked-main_col1-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_slicing[masked-main_col1-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_slicing[masked-main_col1-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_slicing[masked-main_col2-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_slicing[masked-main_col2-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_slicing[masked-main_col2-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_slicing[subclass-main_col0-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_slicing[subclass-main_col0-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_slicing[subclass-main_col0-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_slicing[subclass-main_col1-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_slicing[subclass-main_col1-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_slicing[subclass-main_col1-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_slicing[subclass-main_col2-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_slicing[subclass-main_col2-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_slicing[subclass-main_col2-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_remove_rows[unmasked-main_col0-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_remove_rows[unmasked-main_col0-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_remove_rows[unmasked-main_col0-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_remove_rows[unmasked-main_col1-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_remove_rows[unmasked-main_col1-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_remove_rows[unmasked-main_col1-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_remove_rows[unmasked-main_col2-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_remove_rows[unmasked-main_col2-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_remove_rows[unmasked-main_col2-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_remove_rows[masked-main_col0-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_remove_rows[masked-main_col0-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_remove_rows[masked-main_col0-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_remove_rows[masked-main_col1-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_remove_rows[masked-main_col1-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_remove_rows[masked-main_col1-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_remove_rows[masked-main_col2-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_remove_rows[masked-main_col2-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_remove_rows[masked-main_col2-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_remove_rows[subclass-main_col0-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_remove_rows[subclass-main_col0-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_remove_rows[subclass-main_col0-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_remove_rows[subclass-main_col1-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_remove_rows[subclass-main_col1-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_remove_rows[subclass-main_col1-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_remove_rows[subclass-main_col2-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_remove_rows[subclass-main_col2-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_remove_rows[subclass-main_col2-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_get_slice[unmasked-main_col0-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_get_slice[unmasked-main_col0-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_get_slice[unmasked-main_col0-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_get_slice[unmasked-main_col1-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_get_slice[unmasked-main_col1-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_get_slice[unmasked-main_col1-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_get_slice[unmasked-main_col2-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_get_slice[unmasked-main_col2-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_get_slice[unmasked-main_col2-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_get_slice[masked-main_col0-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_get_slice[masked-main_col0-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_get_slice[masked-main_col0-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_get_slice[masked-main_col1-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_get_slice[masked-main_col1-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_get_slice[masked-main_col1-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_get_slice[masked-main_col2-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_get_slice[masked-main_col2-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_get_slice[masked-main_col2-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_get_slice[subclass-main_col0-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_get_slice[subclass-main_col0-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_get_slice[subclass-main_col0-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_get_slice[subclass-main_col1-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_get_slice[subclass-main_col1-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_get_slice[subclass-main_col1-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_get_slice[subclass-main_col2-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_get_slice[subclass-main_col2-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_get_slice[subclass-main_col2-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_set_slice[unmasked-main_col0-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_set_slice[unmasked-main_col0-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_set_slice[unmasked-main_col0-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_set_slice[unmasked-main_col1-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_set_slice[unmasked-main_col1-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_set_slice[unmasked-main_col1-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_set_slice[unmasked-main_col2-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_set_slice[unmasked-main_col2-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_set_slice[unmasked-main_col2-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_set_slice[masked-main_col0-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_set_slice[masked-main_col0-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_set_slice[masked-main_col0-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_set_slice[masked-main_col1-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_set_slice[masked-main_col1-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_set_slice[masked-main_col1-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_set_slice[masked-main_col2-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_set_slice[masked-main_col2-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_set_slice[masked-main_col2-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_set_slice[subclass-main_col0-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_set_slice[subclass-main_col0-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_set_slice[subclass-main_col0-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_set_slice[subclass-main_col1-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_set_slice[subclass-main_col1-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_set_slice[subclass-main_col1-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_set_slice[subclass-main_col2-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_set_slice[subclass-main_col2-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_set_slice[subclass-main_col2-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_multiple_slices[unmasked-main_col0-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_multiple_slices[unmasked-main_col0-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_multiple_slices[unmasked-main_col0-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_multiple_slices[unmasked-main_col1-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_multiple_slices[unmasked-main_col1-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_multiple_slices[unmasked-main_col1-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_multiple_slices[unmasked-main_col2-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_multiple_slices[unmasked-main_col2-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_multiple_slices[unmasked-main_col2-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_multiple_slices[masked-main_col0-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_multiple_slices[masked-main_col0-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_multiple_slices[masked-main_col0-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_multiple_slices[masked-main_col1-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_multiple_slices[masked-main_col1-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_multiple_slices[masked-main_col1-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_multiple_slices[masked-main_col2-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_multiple_slices[masked-main_col2-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_multiple_slices[masked-main_col2-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_multiple_slices[subclass-main_col0-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_multiple_slices[subclass-main_col0-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_multiple_slices[subclass-main_col0-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_multiple_slices[subclass-main_col1-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_multiple_slices[subclass-main_col1-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_multiple_slices[subclass-main_col1-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_multiple_slices[subclass-main_col2-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_multiple_slices[subclass-main_col2-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_multiple_slices[subclass-main_col2-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_sort[unmasked-main_col0-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_sort[unmasked-main_col0-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_sort[unmasked-main_col0-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_sort[unmasked-main_col1-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_sort[unmasked-main_col1-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_sort[unmasked-main_col1-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_sort[unmasked-main_col2-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_sort[unmasked-main_col2-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_sort[unmasked-main_col2-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_sort[masked-main_col0-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_sort[masked-main_col0-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_sort[masked-main_col0-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_sort[masked-main_col1-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_sort[masked-main_col1-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_sort[masked-main_col1-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_sort[masked-main_col2-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_sort[masked-main_col2-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_sort[masked-main_col2-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_sort[subclass-main_col0-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_sort[subclass-main_col0-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_sort[subclass-main_col0-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_sort[subclass-main_col1-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_sort[subclass-main_col1-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_sort[subclass-main_col1-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_sort[subclass-main_col2-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_sort[subclass-main_col2-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_sort[subclass-main_col2-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_insert_row[unmasked-main_col0-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_insert_row[unmasked-main_col0-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_insert_row[unmasked-main_col0-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_insert_row[unmasked-main_col1-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_insert_row[unmasked-main_col1-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_insert_row[unmasked-main_col1-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_insert_row[unmasked-main_col2-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_insert_row[unmasked-main_col2-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_insert_row[unmasked-main_col2-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_insert_row[masked-main_col0-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_insert_row[masked-main_col0-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_insert_row[masked-main_col0-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_insert_row[masked-main_col1-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_insert_row[masked-main_col1-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_insert_row[masked-main_col1-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_insert_row[masked-main_col2-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_insert_row[masked-main_col2-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_insert_row[masked-main_col2-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_insert_row[subclass-main_col0-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_insert_row[subclass-main_col0-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_insert_row[subclass-main_col0-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_insert_row[subclass-main_col1-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_insert_row[subclass-main_col1-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_insert_row[subclass-main_col1-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_insert_row[subclass-main_col2-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_insert_row[subclass-main_col2-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_insert_row[subclass-main_col2-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_modes[unmasked-main_col0-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_modes[unmasked-main_col0-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_modes[unmasked-main_col0-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_modes[unmasked-main_col1-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_modes[unmasked-main_col1-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_modes[unmasked-main_col1-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_modes[unmasked-main_col2-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_modes[unmasked-main_col2-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_modes[unmasked-main_col2-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_modes[masked-main_col0-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_modes[masked-main_col0-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_modes[masked-main_col0-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_modes[masked-main_col1-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_modes[masked-main_col1-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_modes[masked-main_col1-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_modes[masked-main_col2-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_modes[masked-main_col2-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_modes[masked-main_col2-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_modes[subclass-main_col0-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_modes[subclass-main_col0-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_modes[subclass-main_col0-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_modes[subclass-main_col1-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_modes[subclass-main_col1-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_modes[subclass-main_col1-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_modes[subclass-main_col2-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_modes[subclass-main_col2-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_modes[subclass-main_col2-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_retrieval[unmasked-main_col0-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_retrieval[unmasked-main_col0-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_retrieval[unmasked-main_col0-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_retrieval[unmasked-main_col1-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_retrieval[unmasked-main_col1-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_retrieval[unmasked-main_col1-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_retrieval[unmasked-main_col2-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_retrieval[unmasked-main_col2-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_retrieval[unmasked-main_col2-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_retrieval[masked-main_col0-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_retrieval[masked-main_col0-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_retrieval[masked-main_col0-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_retrieval[masked-main_col1-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_retrieval[masked-main_col1-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_retrieval[masked-main_col1-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_retrieval[masked-main_col2-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_retrieval[masked-main_col2-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_retrieval[masked-main_col2-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_retrieval[subclass-main_col0-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_retrieval[subclass-main_col0-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_retrieval[subclass-main_col0-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_retrieval[subclass-main_col1-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_retrieval[subclass-main_col1-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_retrieval[subclass-main_col1-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_retrieval[subclass-main_col2-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_retrieval[subclass-main_col2-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_index_retrieval[subclass-main_col2-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_rename[unmasked-main_col0-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_rename[unmasked-main_col0-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_rename[unmasked-main_col0-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_rename[unmasked-main_col1-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_rename[unmasked-main_col1-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_rename[unmasked-main_col1-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_rename[unmasked-main_col2-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_rename[unmasked-main_col2-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_rename[unmasked-main_col2-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_rename[masked-main_col0-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_rename[masked-main_col0-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_rename[masked-main_col0-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_rename[masked-main_col1-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_rename[masked-main_col1-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_rename[masked-main_col1-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_rename[masked-main_col2-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_rename[masked-main_col2-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_rename[masked-main_col2-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_rename[subclass-main_col0-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_rename[subclass-main_col0-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_rename[subclass-main_col0-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_rename[subclass-main_col1-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_rename[subclass-main_col1-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_rename[subclass-main_col1-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_rename[subclass-main_col2-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_rename[subclass-main_col2-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_col_rename[subclass-main_col2-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_loc[unmasked-main_col0-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_loc[unmasked-main_col0-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_loc[unmasked-main_col0-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_loc[unmasked-main_col1-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_loc[unmasked-main_col1-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_loc[unmasked-main_col1-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_loc[unmasked-main_col2-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_loc[unmasked-main_col2-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_loc[unmasked-main_col2-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_loc[masked-main_col0-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_loc[masked-main_col0-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_loc[masked-main_col0-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_loc[masked-main_col1-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_loc[masked-main_col1-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_loc[masked-main_col1-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_loc[masked-main_col2-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_loc[masked-main_col2-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_loc[masked-main_col2-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_loc[subclass-main_col0-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_loc[subclass-main_col0-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_loc[subclass-main_col0-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_loc[subclass-main_col1-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_loc[subclass-main_col1-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_loc[subclass-main_col1-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_loc[subclass-main_col2-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_loc[subclass-main_col2-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_table_loc[subclass-main_col2-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_invalid_search[unmasked-main_col0-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_invalid_search[unmasked-main_col0-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_invalid_search[unmasked-main_col0-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_invalid_search[unmasked-main_col1-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_invalid_search[unmasked-main_col1-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_invalid_search[unmasked-main_col1-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_invalid_search[unmasked-main_col2-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_invalid_search[unmasked-main_col2-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_invalid_search[unmasked-main_col2-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_invalid_search[masked-main_col0-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_invalid_search[masked-main_col0-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_invalid_search[masked-main_col0-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_invalid_search[masked-main_col1-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_invalid_search[masked-main_col1-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_invalid_search[masked-main_col1-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_invalid_search[masked-main_col2-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_invalid_search[masked-main_col2-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_invalid_search[masked-main_col2-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_invalid_search[subclass-main_col0-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_invalid_search[subclass-main_col0-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_invalid_search[subclass-main_col0-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_invalid_search[subclass-main_col1-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_invalid_search[subclass-main_col1-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_invalid_search[subclass-main_col1-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_invalid_search[subclass-main_col2-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_invalid_search[subclass-main_col2-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_invalid_search[subclass-main_col2-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_copy_index_references[unmasked-main_col0-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_copy_index_references[unmasked-main_col0-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_copy_index_references[unmasked-main_col0-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_copy_index_references[unmasked-main_col1-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_copy_index_references[unmasked-main_col1-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_copy_index_references[unmasked-main_col1-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_copy_index_references[unmasked-main_col2-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_copy_index_references[unmasked-main_col2-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_copy_index_references[unmasked-main_col2-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_copy_index_references[masked-main_col0-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_copy_index_references[masked-main_col0-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_copy_index_references[masked-main_col0-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_copy_index_references[masked-main_col1-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_copy_index_references[masked-main_col1-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_copy_index_references[masked-main_col1-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_copy_index_references[masked-main_col2-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_copy_index_references[masked-main_col2-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_copy_index_references[masked-main_col2-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_copy_index_references[subclass-main_col0-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_copy_index_references[subclass-main_col0-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_copy_index_references[subclass-main_col0-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_copy_index_references[subclass-main_col1-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_copy_index_references[subclass-main_col1-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_copy_index_references[subclass-main_col1-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_copy_index_references[subclass-main_col2-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_copy_index_references[subclass-main_col2-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_copy_index_references[subclass-main_col2-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_unique_index[unmasked-main_col0-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_unique_index[unmasked-main_col0-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_unique_index[unmasked-main_col0-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_unique_index[unmasked-main_col1-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_unique_index[unmasked-main_col1-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_unique_index[unmasked-main_col1-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_unique_index[unmasked-main_col2-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_unique_index[unmasked-main_col2-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_unique_index[unmasked-main_col2-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_unique_index[masked-main_col0-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_unique_index[masked-main_col0-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_unique_index[masked-main_col0-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_unique_index[masked-main_col1-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_unique_index[masked-main_col1-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_unique_index[masked-main_col1-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_unique_index[masked-main_col2-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_unique_index[masked-main_col2-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_unique_index[masked-main_col2-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_unique_index[subclass-main_col0-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_unique_index[subclass-main_col0-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_unique_index[subclass-main_col0-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_unique_index[subclass-main_col1-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_unique_index[subclass-main_col1-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_unique_index[subclass-main_col1-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_unique_index[subclass-main_col2-BST0] PASSED astropy/table/tests/test_index.py::TestIndex::test_unique_index[subclass-main_col2-BST1] PASSED astropy/table/tests/test_index.py::TestIndex::test_unique_index[subclass-main_col2-SortedArray] PASSED astropy/table/tests/test_index.py::TestIndex::test_copy_indexed_table[unmasked] PASSED astropy/table/tests/test_index.py::TestIndex::test_copy_indexed_table[masked] PASSED astropy/table/tests/test_index.py::TestIndex::test_copy_indexed_table[subclass] PASSED astropy/table/tests/test_info.py::test_table_info_attributes[unmasked] PASSED astropy/table/tests/test_info.py::test_table_info_attributes[masked] PASSED astropy/table/tests/test_info.py::test_table_info_attributes[subclass] PASSED astropy/table/tests/test_info.py::test_table_info_stats[unmasked] PASSED astropy/table/tests/test_info.py::test_table_info_stats[masked] PASSED astropy/table/tests/test_info.py::test_table_info_stats[subclass] PASSED astropy/table/tests/test_info.py::test_data_info PASSED astropy/table/tests/test_info.py::test_data_info_subclass PASSED astropy/table/tests/test_info.py::test_scalar_info PASSED astropy/table/tests/test_info.py::test_empty_table PASSED astropy/table/tests/test_info.py::test_class_attribute PASSED astropy/table/tests/test_info.py::test_ignore_warnings PASSED astropy/table/tests/test_info.py::test_no_deprecation_warning PASSED astropy/table/tests/test_init_table.py::TestTableColumnsInit::test_init PASSED astropy/table/tests/test_init_table.py::TestInitFromNdarrayHomo::test_basic_init[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromNdarrayHomo::test_basic_init[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromNdarrayHomo::test_set_dtype[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromNdarrayHomo::test_set_dtype[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromNdarrayHomo::test_names_dtype_mismatch[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromNdarrayHomo::test_names_dtype_mismatch[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromNdarrayHomo::test_names_cols_mismatch[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromNdarrayHomo::test_names_cols_mismatch[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromNdarrayHomo::test_names_copy_false[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromNdarrayHomo::test_names_copy_false[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromNdarrayHomo::test_default_names[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromNdarrayHomo::test_default_names[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromNdarrayHomo::test_ndarray_ref[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromNdarrayHomo::test_ndarray_ref[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromNdarrayHomo::test_partial_names_dtype[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromNdarrayHomo::test_partial_names_dtype[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromNdarrayHomo::test_partial_names_ref[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromNdarrayHomo::test_partial_names_ref[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromListOfLists::test_basic_init[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromListOfLists::test_basic_init[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromListOfLists::test_set_dtype[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromListOfLists::test_set_dtype[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromListOfLists::test_names_dtype_mismatch[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromListOfLists::test_names_dtype_mismatch[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromListOfLists::test_names_cols_mismatch[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromListOfLists::test_names_cols_mismatch[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromListOfLists::test_names_copy_false[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromListOfLists::test_names_copy_false[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromListOfLists::test_default_names[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromListOfLists::test_default_names[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromListOfLists::test_partial_names_dtype[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromListOfLists::test_partial_names_dtype[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromListOfLists::test_bad_data[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromListOfLists::test_bad_data[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromListOfDicts::test_basic_init[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromListOfDicts::test_basic_init[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromListOfDicts::test_set_dtype[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromListOfDicts::test_set_dtype[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromListOfDicts::test_names_dtype_mismatch[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromListOfDicts::test_names_dtype_mismatch[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromListOfDicts::test_names_cols_mismatch[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromListOfDicts::test_names_cols_mismatch[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromListOfDicts::test_names_copy_false[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromListOfDicts::test_names_copy_false[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromListOfDicts::test_names[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromListOfDicts::test_names[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromListOfDicts::test_names_ordered[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromListOfDicts::test_names_ordered[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromListOfDicts::test_bad_data[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromListOfDicts::test_bad_data[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromColsList::test_basic_init[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromColsList::test_basic_init[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromColsList::test_set_dtype[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromColsList::test_set_dtype[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromColsList::test_names_dtype_mismatch[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromColsList::test_names_dtype_mismatch[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromColsList::test_names_cols_mismatch[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromColsList::test_names_cols_mismatch[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromColsList::test_names_copy_false[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromColsList::test_names_copy_false[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromColsList::test_default_names[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromColsList::test_default_names[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromColsList::test_partial_names_dtype[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromColsList::test_partial_names_dtype[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromColsList::test_ref[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromColsList::test_ref[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromNdarrayStruct::test_basic_init[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromNdarrayStruct::test_basic_init[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromNdarrayStruct::test_set_dtype[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromNdarrayStruct::test_set_dtype[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromNdarrayStruct::test_names_dtype_mismatch[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromNdarrayStruct::test_names_dtype_mismatch[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromNdarrayStruct::test_names_cols_mismatch[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromNdarrayStruct::test_names_cols_mismatch[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromNdarrayStruct::test_ndarray_ref[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromNdarrayStruct::test_ndarray_ref[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromNdarrayStruct::test_partial_names_dtype[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromNdarrayStruct::test_partial_names_dtype[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromNdarrayStruct::test_partial_names_ref[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromNdarrayStruct::test_partial_names_ref[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromDict::test_basic_init[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromDict::test_basic_init[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromDict::test_set_dtype[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromDict::test_set_dtype[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromDict::test_names_dtype_mismatch[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromDict::test_names_dtype_mismatch[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromDict::test_names_cols_mismatch[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromDict::test_names_cols_mismatch[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromMapping::test_basic_init[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromMapping::test_basic_init[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromMapping::test_set_dtype[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromMapping::test_set_dtype[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromMapping::test_names_dtype_mismatch[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromMapping::test_names_dtype_mismatch[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromMapping::test_names_cols_mismatch[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromMapping::test_names_cols_mismatch[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromOrderedDict::test_basic_init[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromOrderedDict::test_basic_init[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromOrderedDict::test_set_dtype[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromOrderedDict::test_set_dtype[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromOrderedDict::test_names_dtype_mismatch[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromOrderedDict::test_names_dtype_mismatch[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromOrderedDict::test_names_cols_mismatch[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromOrderedDict::test_names_cols_mismatch[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromOrderedDict::test_col_order[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromOrderedDict::test_col_order[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromRow::test_basic_init[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromRow::test_basic_init[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromRow::test_set_dtype[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromRow::test_set_dtype[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromRow::test_names_dtype_mismatch[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromRow::test_names_dtype_mismatch[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromRow::test_names_cols_mismatch[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromRow::test_names_cols_mismatch[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromRow::test_init_from_row[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromRow::test_init_from_row[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromTable::test_basic_init[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromTable::test_basic_init[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromTable::test_set_dtype[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromTable::test_set_dtype[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromTable::test_names_dtype_mismatch[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromTable::test_names_dtype_mismatch[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromTable::test_names_cols_mismatch[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromTable::test_names_cols_mismatch[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromTable::test_data_meta_copy[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromTable::test_data_meta_copy[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromTable::test_table_ref[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromTable::test_table_ref[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromTable::test_partial_names_dtype[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromTable::test_partial_names_dtype[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromTable::test_partial_names_ref[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromTable::test_partial_names_ref[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromTable::test_init_from_columns[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromTable::test_init_from_columns[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromTable::test_init_from_columns_slice[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromTable::test_init_from_columns_slice[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromTable::test_init_from_columns_mix[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromTable::test_init_from_columns_mix[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromNone::test_data_none_with_cols[False] PASSED astropy/table/tests/test_init_table.py::TestInitFromNone::test_data_none_with_cols[True] PASSED astropy/table/tests/test_init_table.py::TestInitFromRows::test_init_with_rows[unmasked-False] PASSED astropy/table/tests/test_init_table.py::TestInitFromRows::test_init_with_rows[unmasked-True] PASSED astropy/table/tests/test_init_table.py::TestInitFromRows::test_init_with_rows[masked-False] PASSED astropy/table/tests/test_init_table.py::TestInitFromRows::test_init_with_rows[masked-True] PASSED astropy/table/tests/test_init_table.py::TestInitFromRows::test_init_with_rows[subclass-False] PASSED astropy/table/tests/test_init_table.py::TestInitFromRows::test_init_with_rows[subclass-True] PASSED astropy/table/tests/test_init_table.py::TestInitFromRows::test_init_with_rows_and_data[unmasked-False] PASSED astropy/table/tests/test_init_table.py::TestInitFromRows::test_init_with_rows_and_data[unmasked-True] PASSED astropy/table/tests/test_init_table.py::TestInitFromRows::test_init_with_rows_and_data[masked-False] PASSED astropy/table/tests/test_init_table.py::TestInitFromRows::test_init_with_rows_and_data[masked-True] PASSED astropy/table/tests/test_init_table.py::TestInitFromRows::test_init_with_rows_and_data[subclass-False] PASSED astropy/table/tests/test_init_table.py::TestInitFromRows::test_init_with_rows_and_data[subclass-True] PASSED astropy/table/tests/test_init_table.py::test_init_and_ref_from_multidim_ndarray[False] PASSED astropy/table/tests/test_init_table.py::test_init_and_ref_from_multidim_ndarray[True] PASSED astropy/table/tests/test_item_access.py::TestTableColumnsItems::test_by_name[False] PASSED astropy/table/tests/test_item_access.py::TestTableColumnsItems::test_by_name[True] PASSED astropy/table/tests/test_item_access.py::TestTableColumnsItems::test_by_position[False] PASSED astropy/table/tests/test_item_access.py::TestTableColumnsItems::test_by_position[True] PASSED astropy/table/tests/test_item_access.py::TestTableColumnsItems::test_mult_columns[False] PASSED astropy/table/tests/test_item_access.py::TestTableColumnsItems::test_mult_columns[True] PASSED astropy/table/tests/test_item_access.py::TestTableColumnsItems::test_column_slice[False] PASSED astropy/table/tests/test_item_access.py::TestTableColumnsItems::test_column_slice[True] PASSED astropy/table/tests/test_item_access.py::TestTableItems::test_column[False-1] PASSED astropy/table/tests/test_item_access.py::TestTableItems::test_column[False-idx1] PASSED astropy/table/tests/test_item_access.py::TestTableItems::test_column[False-idx2] PASSED astropy/table/tests/test_item_access.py::TestTableItems::test_column[True-1] PASSED astropy/table/tests/test_item_access.py::TestTableItems::test_column[True-idx1] PASSED astropy/table/tests/test_item_access.py::TestTableItems::test_column[True-idx2] PASSED astropy/table/tests/test_item_access.py::TestTableItems::test_row[False-1] PASSED astropy/table/tests/test_item_access.py::TestTableItems::test_row[False-idx1] PASSED astropy/table/tests/test_item_access.py::TestTableItems::test_row[False-idx2] PASSED astropy/table/tests/test_item_access.py::TestTableItems::test_row[True-1] PASSED astropy/table/tests/test_item_access.py::TestTableItems::test_row[True-idx1] PASSED astropy/table/tests/test_item_access.py::TestTableItems::test_row[True-idx2] PASSED astropy/table/tests/test_item_access.py::TestTableItems::test_empty_iterable_item[False] PASSED astropy/table/tests/test_item_access.py::TestTableItems::test_empty_iterable_item[True] PASSED astropy/table/tests/test_item_access.py::TestTableItems::test_table_slice[False] PASSED astropy/table/tests/test_item_access.py::TestTableItems::test_table_slice[True] PASSED astropy/table/tests/test_item_access.py::TestTableItems::test_fancy_index_slice[False] PASSED astropy/table/tests/test_item_access.py::TestTableItems::test_fancy_index_slice[True] PASSED astropy/table/tests/test_item_access.py::TestTableItems::test_list_index_slice[False] PASSED astropy/table/tests/test_item_access.py::TestTableItems::test_list_index_slice[True] PASSED astropy/table/tests/test_item_access.py::TestTableItems::test_select_columns[False] PASSED astropy/table/tests/test_item_access.py::TestTableItems::test_select_columns[True] PASSED astropy/table/tests/test_item_access.py::TestTableItems::test_select_columns_fail[False] PASSED astropy/table/tests/test_item_access.py::TestTableItems::test_select_columns_fail[True] PASSED astropy/table/tests/test_item_access.py::TestTableItems::test_np_where[False] PASSED astropy/table/tests/test_item_access.py::TestTableItems::test_np_where[True] PASSED astropy/table/tests/test_item_access.py::TestTableItems::test_np_integers[False] PASSED astropy/table/tests/test_item_access.py::TestTableItems::test_np_integers[True] PASSED astropy/table/tests/test_item_access.py::TestTableItems::test_select_bad_column[False] PASSED astropy/table/tests/test_item_access.py::TestTableItems::test_select_bad_column[True] PASSED astropy/table/tests/test_jsviewer.py::test_write_jsviewer_default PASSED astropy/table/tests/test_jsviewer.py::test_write_jsviewer_options PASSED astropy/table/tests/test_jsviewer.py::test_write_jsviewer_local PASSED astropy/table/tests/test_jsviewer.py::test_show_in_notebook SKIPPED astropy/table/tests/test_masked.py::TestPprint::test_pformat PASSED astropy/table/tests/test_masked.py::TestFilled::test_filled_column PASSED astropy/table/tests/test_masked.py::TestFilled::test_filled_masked_table[True] PASSED astropy/table/tests/test_masked.py::TestFilled::test_filled_masked_table[False] PASSED astropy/table/tests/test_masked.py::TestFilled::test_filled_unmasked_table[True] PASSED astropy/table/tests/test_masked.py::TestFilled::test_filled_unmasked_table[False] PASSED astropy/table/tests/test_masked.py::TestFillValue::test_init_set_fill_value PASSED astropy/table/tests/test_masked.py::TestFillValue::test_set_get_fill_value_for_bare_column PASSED astropy/table/tests/test_masked.py::TestFillValue::test_set_get_fill_value_for_str_column PASSED astropy/table/tests/test_masked.py::TestFillValue::test_table_column_mask_not_ref PASSED astropy/table/tests/test_masked.py::TestFillValue::test_set_get_fill_value_for_table_column PASSED astropy/table/tests/test_masked.py::TestFillValue::test_data_attribute_fill_and_mask PASSED astropy/table/tests/test_masked.py::TestMaskedColumnInit::test_set_mask_and_not_ref PASSED astropy/table/tests/test_masked.py::TestMaskedColumnInit::test_set_mask_from_list PASSED astropy/table/tests/test_masked.py::TestMaskedColumnInit::test_override_existing_mask PASSED astropy/table/tests/test_masked.py::TestMaskedColumnInit::test_incomplete_mask_spec PASSED astropy/table/tests/test_masked.py::TestTableInit::test_mask_true_if_any_input_masked PASSED astropy/table/tests/test_masked.py::TestTableInit::test_mask_false_if_no_input_masked PASSED astropy/table/tests/test_masked.py::TestTableInit::test_mask_property PASSED astropy/table/tests/test_masked.py::TestAddColumn::test_add_masked_column_to_masked_table PASSED astropy/table/tests/test_masked.py::TestAddColumn::test_add_masked_column_to_non_masked_table PASSED astropy/table/tests/test_masked.py::TestAddColumn::test_add_non_masked_column_to_masked_table PASSED astropy/table/tests/test_masked.py::TestAddColumn::test_convert_to_masked_table_only_if_necessary PASSED astropy/table/tests/test_masked.py::TestRenameColumn::test_rename_masked_column PASSED astropy/table/tests/test_masked.py::TestRemoveColumn::test_remove_masked_column PASSED astropy/table/tests/test_masked.py::TestAddRow::test_add_masked_row_to_masked_table_iterable PASSED astropy/table/tests/test_masked.py::TestAddRow::test_add_masked_row_to_masked_table_mapping1 PASSED astropy/table/tests/test_masked.py::TestAddRow::test_add_masked_row_to_masked_table_mapping2 PASSED astropy/table/tests/test_masked.py::TestAddRow::test_add_masked_row_to_masked_table_mapping3 PASSED astropy/table/tests/test_masked.py::TestAddRow::test_add_masked_row_to_masked_table_mapping4 PASSED astropy/table/tests/test_masked.py::TestAddRow::test_add_masked_row_to_masked_table_mismatch PASSED astropy/table/tests/test_masked.py::TestAddRow::test_add_masked_row_to_non_masked_table_iterable PASSED astropy/table/tests/test_masked.py::test_setting_from_masked_column PASSED astropy/table/tests/test_masked.py::test_coercing_fill_value_type PASSED astropy/table/tests/test_mixin.py::test_attributes[arraywrap] PASSED astropy/table/tests/test_mixin.py::test_attributes[earthlocation] PASSED astropy/table/tests/test_mixin.py::test_attributes[latitude] PASSED astropy/table/tests/test_mixin.py::test_attributes[longitude] PASSED astropy/table/tests/test_mixin.py::test_attributes[ndarray] PASSED astropy/table/tests/test_mixin.py::test_attributes[quantity] PASSED astropy/table/tests/test_mixin.py::test_attributes[skycoord] PASSED astropy/table/tests/test_mixin.py::test_attributes[time] PASSED astropy/table/tests/test_mixin.py::test_make_table[unmasked-arraywrap] PASSED astropy/table/tests/test_mixin.py::test_make_table[unmasked-earthlocation] PASSED astropy/table/tests/test_mixin.py::test_make_table[unmasked-latitude] PASSED astropy/table/tests/test_mixin.py::test_make_table[unmasked-longitude] PASSED astropy/table/tests/test_mixin.py::test_make_table[unmasked-ndarray] PASSED astropy/table/tests/test_mixin.py::test_make_table[unmasked-quantity] PASSED astropy/table/tests/test_mixin.py::test_make_table[unmasked-skycoord] PASSED astropy/table/tests/test_mixin.py::test_make_table[unmasked-time] PASSED astropy/table/tests/test_mixin.py::test_make_table[masked-arraywrap] PASSED astropy/table/tests/test_mixin.py::test_make_table[masked-earthlocation] PASSED astropy/table/tests/test_mixin.py::test_make_table[masked-latitude] PASSED astropy/table/tests/test_mixin.py::test_make_table[masked-longitude] PASSED astropy/table/tests/test_mixin.py::test_make_table[masked-ndarray] PASSED astropy/table/tests/test_mixin.py::test_make_table[masked-quantity] PASSED astropy/table/tests/test_mixin.py::test_make_table[masked-skycoord] PASSED astropy/table/tests/test_mixin.py::test_make_table[masked-time] PASSED astropy/table/tests/test_mixin.py::test_make_table[subclass-arraywrap] PASSED astropy/table/tests/test_mixin.py::test_make_table[subclass-earthlocation] PASSED astropy/table/tests/test_mixin.py::test_make_table[subclass-latitude] PASSED astropy/table/tests/test_mixin.py::test_make_table[subclass-longitude] PASSED astropy/table/tests/test_mixin.py::test_make_table[subclass-ndarray] PASSED astropy/table/tests/test_mixin.py::test_make_table[subclass-quantity] PASSED astropy/table/tests/test_mixin.py::test_make_table[subclass-skycoord] PASSED astropy/table/tests/test_mixin.py::test_make_table[subclass-time] PASSED astropy/table/tests/test_mixin.py::test_io_ascii_write PASSED astropy/table/tests/test_mixin.py::test_io_quantity_write PASSED astropy/table/tests/test_mixin.py::test_io_write_fail[arraywrap] PASSED astropy/table/tests/test_mixin.py::test_io_write_fail[earthlocation] SKIPPED astropy/table/tests/test_mixin.py::test_io_write_fail[latitude] SKIPPED astropy/table/tests/test_mixin.py::test_io_write_fail[longitude] SKIPPED astropy/table/tests/test_mixin.py::test_io_write_fail[ndarray] PASSED astropy/table/tests/test_mixin.py::test_io_write_fail[quantity] SKIPPED astropy/table/tests/test_mixin.py::test_io_write_fail[skycoord] PASSED astropy/table/tests/test_mixin.py::test_io_write_fail[time] PASSED astropy/table/tests/test_mixin.py::test_join[unmasked] PASSED astropy/table/tests/test_mixin.py::test_join[masked] PASSED astropy/table/tests/test_mixin.py::test_join[subclass] PASSED astropy/table/tests/test_mixin.py::test_hstack[unmasked] PASSED astropy/table/tests/test_mixin.py::test_hstack[masked] PASSED astropy/table/tests/test_mixin.py::test_hstack[subclass] PASSED astropy/table/tests/test_mixin.py::test_get_items[arraywrap] PASSED astropy/table/tests/test_mixin.py::test_get_items[earthlocation] PASSED astropy/table/tests/test_mixin.py::test_get_items[latitude] PASSED astropy/table/tests/test_mixin.py::test_get_items[longitude] PASSED astropy/table/tests/test_mixin.py::test_get_items[ndarray] PASSED astropy/table/tests/test_mixin.py::test_get_items[quantity] PASSED astropy/table/tests/test_mixin.py::test_get_items[skycoord] PASSED astropy/table/tests/test_mixin.py::test_get_items[time] PASSED astropy/table/tests/test_mixin.py::test_info_preserved_pickle_copy_init[arraywrap] PASSED astropy/table/tests/test_mixin.py::test_info_preserved_pickle_copy_init[earthlocation] PASSED astropy/table/tests/test_mixin.py::test_info_preserved_pickle_copy_init[latitude] PASSED astropy/table/tests/test_mixin.py::test_info_preserved_pickle_copy_init[longitude] PASSED astropy/table/tests/test_mixin.py::test_info_preserved_pickle_copy_init[ndarray] PASSED astropy/table/tests/test_mixin.py::test_info_preserved_pickle_copy_init[quantity] PASSED astropy/table/tests/test_mixin.py::test_info_preserved_pickle_copy_init[skycoord] PASSED astropy/table/tests/test_mixin.py::test_info_preserved_pickle_copy_init[time] PASSED astropy/table/tests/test_mixin.py::test_add_column[arraywrap] PASSED astropy/table/tests/test_mixin.py::test_add_column[earthlocation] PASSED astropy/table/tests/test_mixin.py::test_add_column[latitude] PASSED astropy/table/tests/test_mixin.py::test_add_column[longitude] PASSED astropy/table/tests/test_mixin.py::test_add_column[ndarray] PASSED astropy/table/tests/test_mixin.py::test_add_column[quantity] PASSED astropy/table/tests/test_mixin.py::test_add_column[skycoord] PASSED astropy/table/tests/test_mixin.py::test_add_column[time] PASSED astropy/table/tests/test_mixin.py::test_vstack PASSED astropy/table/tests/test_mixin.py::test_insert_row[arraywrap] PASSED astropy/table/tests/test_mixin.py::test_insert_row[earthlocation] PASSED astropy/table/tests/test_mixin.py::test_insert_row[latitude] PASSED astropy/table/tests/test_mixin.py::test_insert_row[longitude] PASSED astropy/table/tests/test_mixin.py::test_insert_row[ndarray] PASSED astropy/table/tests/test_mixin.py::test_insert_row[quantity] PASSED astropy/table/tests/test_mixin.py::test_insert_row[skycoord] PASSED astropy/table/tests/test_mixin.py::test_insert_row[time] PASSED astropy/table/tests/test_mixin.py::test_insert_row_bad_unit PASSED astropy/table/tests/test_mixin.py::test_convert_np_array[arraywrap] PASSED astropy/table/tests/test_mixin.py::test_convert_np_array[earthlocation] PASSED astropy/table/tests/test_mixin.py::test_convert_np_array[latitude] PASSED astropy/table/tests/test_mixin.py::test_convert_np_array[longitude] PASSED astropy/table/tests/test_mixin.py::test_convert_np_array[ndarray] PASSED astropy/table/tests/test_mixin.py::test_convert_np_array[quantity] PASSED astropy/table/tests/test_mixin.py::test_convert_np_array[skycoord] PASSED astropy/table/tests/test_mixin.py::test_convert_np_array[time] PASSED astropy/table/tests/test_mixin.py::test_assignment_and_copy PASSED astropy/table/tests/test_mixin.py::test_grouping PASSED astropy/table/tests/test_mixin.py::test_conversion_qtable_table PASSED astropy/table/tests/test_mixin.py::test_column_rename XPASS astropy/table/tests/test_mixin.py::test_setitem_as_column_name PASSED astropy/table/tests/test_mixin.py::test_quantity_representation PASSED astropy/table/tests/test_mixin.py::test_skycoord_representation PASSED astropy/table/tests/test_mixin.py::test_ndarray_mixin PASSED astropy/table/tests/test_mixin.py::test_possible_string_format_functions PASSED astropy/table/tests/test_mixin.py::test_rename_mixin_columns[arraywrap] PASSED astropy/table/tests/test_mixin.py::test_rename_mixin_columns[earthlocation] PASSED astropy/table/tests/test_mixin.py::test_rename_mixin_columns[latitude] PASSED astropy/table/tests/test_mixin.py::test_rename_mixin_columns[longitude] PASSED astropy/table/tests/test_mixin.py::test_rename_mixin_columns[ndarray] PASSED astropy/table/tests/test_mixin.py::test_rename_mixin_columns[quantity] PASSED astropy/table/tests/test_mixin.py::test_rename_mixin_columns[skycoord] PASSED astropy/table/tests/test_mixin.py::test_rename_mixin_columns[time] PASSED astropy/table/tests/test_np_utils.py::test_common_dtype PASSED astropy/table/tests/test_operations.py::TestJoin::test_table_meta_merge[Table] PASSED astropy/table/tests/test_operations.py::TestJoin::test_table_meta_merge[QTable] PASSED astropy/table/tests/test_operations.py::TestJoin::test_table_meta_merge_conflict[Table] PASSED astropy/table/tests/test_operations.py::TestJoin::test_table_meta_merge_conflict[QTable] PASSED astropy/table/tests/test_operations.py::TestJoin::test_both_unmasked_inner[Table] PASSED astropy/table/tests/test_operations.py::TestJoin::test_both_unmasked_inner[QTable] PASSED astropy/table/tests/test_operations.py::TestJoin::test_both_unmasked_left_right_outer[Table] PASSED astropy/table/tests/test_operations.py::TestJoin::test_both_unmasked_left_right_outer[QTable] xfail astropy/table/tests/test_operations.py::TestJoin::test_both_unmasked_single_key_inner[Table] PASSED astropy/table/tests/test_operations.py::TestJoin::test_both_unmasked_single_key_inner[QTable] PASSED astropy/table/tests/test_operations.py::TestJoin::test_both_unmasked_single_key_left_right_outer[Table] PASSED astropy/table/tests/test_operations.py::TestJoin::test_both_unmasked_single_key_left_right_outer[QTable] xfail astropy/table/tests/test_operations.py::TestJoin::test_masked_unmasked[Table] PASSED astropy/table/tests/test_operations.py::TestJoin::test_masked_unmasked[QTable] xfail astropy/table/tests/test_operations.py::TestJoin::test_masked_masked[Table] PASSED astropy/table/tests/test_operations.py::TestJoin::test_masked_masked[QTable] xfail astropy/table/tests/test_operations.py::TestJoin::test_col_rename[Table] PASSED astropy/table/tests/test_operations.py::TestJoin::test_col_rename[QTable] PASSED astropy/table/tests/test_operations.py::TestJoin::test_rename_conflict[Table] PASSED astropy/table/tests/test_operations.py::TestJoin::test_rename_conflict[QTable] PASSED astropy/table/tests/test_operations.py::TestJoin::test_missing_keys[Table] PASSED astropy/table/tests/test_operations.py::TestJoin::test_missing_keys[QTable] PASSED astropy/table/tests/test_operations.py::TestJoin::test_bad_join_type[Table] PASSED astropy/table/tests/test_operations.py::TestJoin::test_bad_join_type[QTable] PASSED astropy/table/tests/test_operations.py::TestJoin::test_no_common_keys[Table] PASSED astropy/table/tests/test_operations.py::TestJoin::test_no_common_keys[QTable] PASSED astropy/table/tests/test_operations.py::TestJoin::test_masked_key_column[Table] PASSED astropy/table/tests/test_operations.py::TestJoin::test_masked_key_column[QTable] xfail astropy/table/tests/test_operations.py::TestJoin::test_col_meta_merge[Table] PASSED astropy/table/tests/test_operations.py::TestJoin::test_col_meta_merge[QTable] PASSED astropy/table/tests/test_operations.py::TestJoin::test_join_multidimensional[Table] PASSED astropy/table/tests/test_operations.py::TestJoin::test_join_multidimensional[QTable] PASSED astropy/table/tests/test_operations.py::TestJoin::test_join_multidimensional_masked[Table] PASSED astropy/table/tests/test_operations.py::TestJoin::test_join_multidimensional_masked[QTable] xfail astropy/table/tests/test_operations.py::TestVStack::test_stack_rows[Table] PASSED astropy/table/tests/test_operations.py::TestVStack::test_stack_rows[QTable] PASSED astropy/table/tests/test_operations.py::TestVStack::test_table_meta_merge[Table] PASSED astropy/table/tests/test_operations.py::TestVStack::test_table_meta_merge[QTable] PASSED astropy/table/tests/test_operations.py::TestVStack::test_table_meta_merge_conflict[Table] PASSED astropy/table/tests/test_operations.py::TestVStack::test_table_meta_merge_conflict[QTable] PASSED astropy/table/tests/test_operations.py::TestVStack::test_bad_input_type[Table] PASSED astropy/table/tests/test_operations.py::TestVStack::test_bad_input_type[QTable] PASSED astropy/table/tests/test_operations.py::TestVStack::test_stack_basic_inner[Table] PASSED astropy/table/tests/test_operations.py::TestVStack::test_stack_basic_inner[QTable] PASSED astropy/table/tests/test_operations.py::TestVStack::test_stack_basic_outer[Table] PASSED astropy/table/tests/test_operations.py::TestVStack::test_stack_basic_outer[QTable] xfail astropy/table/tests/test_operations.py::TestVStack::test_stack_incompatible[Table] PASSED astropy/table/tests/test_operations.py::TestVStack::test_stack_incompatible[QTable] PASSED astropy/table/tests/test_operations.py::TestVStack::test_vstack_one_masked[Table] PASSED astropy/table/tests/test_operations.py::TestVStack::test_vstack_one_masked[QTable] xfail astropy/table/tests/test_operations.py::TestVStack::test_col_meta_merge_inner[Table] XPASS astropy/table/tests/test_operations.py::TestVStack::test_col_meta_merge_inner[QTable] XPASS astropy/table/tests/test_operations.py::TestVStack::test_col_meta_merge_outer[Table] PASSED astropy/table/tests/test_operations.py::TestVStack::test_col_meta_merge_outer[QTable] xfail astropy/table/tests/test_operations.py::TestVStack::test_vstack_one_table[Table] PASSED astropy/table/tests/test_operations.py::TestVStack::test_vstack_one_table[QTable] PASSED astropy/table/tests/test_operations.py::TestVStack::test_check_for_mixin_functionality[arraywrap] PASSED astropy/table/tests/test_operations.py::TestVStack::test_check_for_mixin_functionality[earthlocation] PASSED astropy/table/tests/test_operations.py::TestVStack::test_check_for_mixin_functionality[latitude] PASSED astropy/table/tests/test_operations.py::TestVStack::test_check_for_mixin_functionality[longitude] PASSED astropy/table/tests/test_operations.py::TestVStack::test_check_for_mixin_functionality[ndarray] PASSED astropy/table/tests/test_operations.py::TestVStack::test_check_for_mixin_functionality[quantity] PASSED astropy/table/tests/test_operations.py::TestVStack::test_check_for_mixin_functionality[skycoord] PASSED astropy/table/tests/test_operations.py::TestVStack::test_check_for_mixin_functionality[time] PASSED astropy/table/tests/test_operations.py::TestHStack::test_stack_same_table[Table] PASSED astropy/table/tests/test_operations.py::TestHStack::test_stack_same_table[QTable] PASSED astropy/table/tests/test_operations.py::TestHStack::test_stack_rows[Table] PASSED astropy/table/tests/test_operations.py::TestHStack::test_stack_rows[QTable] PASSED astropy/table/tests/test_operations.py::TestHStack::test_table_meta_merge[Table] PASSED astropy/table/tests/test_operations.py::TestHStack::test_table_meta_merge[QTable] PASSED astropy/table/tests/test_operations.py::TestHStack::test_table_meta_merge_conflict[Table] PASSED astropy/table/tests/test_operations.py::TestHStack::test_table_meta_merge_conflict[QTable] PASSED astropy/table/tests/test_operations.py::TestHStack::test_bad_input_type[Table] PASSED astropy/table/tests/test_operations.py::TestHStack::test_bad_input_type[QTable] PASSED astropy/table/tests/test_operations.py::TestHStack::test_stack_basic[Table] PASSED astropy/table/tests/test_operations.py::TestHStack::test_stack_basic[QTable] PASSED astropy/table/tests/test_operations.py::TestHStack::test_stack_incompatible[Table] PASSED astropy/table/tests/test_operations.py::TestHStack::test_stack_incompatible[QTable] PASSED astropy/table/tests/test_operations.py::TestHStack::test_hstack_one_masked[Table] PASSED astropy/table/tests/test_operations.py::TestHStack::test_hstack_one_masked[QTable] xfail astropy/table/tests/test_operations.py::TestHStack::test_table_col_rename[Table] PASSED astropy/table/tests/test_operations.py::TestHStack::test_table_col_rename[QTable] PASSED astropy/table/tests/test_operations.py::TestHStack::test_col_meta_merge[Table] PASSED astropy/table/tests/test_operations.py::TestHStack::test_col_meta_merge[QTable] PASSED astropy/table/tests/test_operations.py::TestHStack::test_hstack_one_table[Table] PASSED astropy/table/tests/test_operations.py::TestHStack::test_hstack_one_table[QTable] PASSED astropy/table/tests/test_operations.py::test_unique[Table] PASSED astropy/table/tests/test_operations.py::test_unique[QTable] PASSED astropy/table/tests/test_operations.py::test_vstack_bytes[Table] PASSED astropy/table/tests/test_operations.py::test_vstack_bytes[QTable] PASSED astropy/table/tests/test_operations.py::test_vstack_unicode PASSED astropy/table/tests/test_operations.py::test_get_out_class PASSED astropy/table/tests/test_operations.py::test_masking_required_exception PASSED astropy/table/tests/test_pickle.py::test_pickle_column[0] PASSED astropy/table/tests/test_pickle.py::test_pickle_column[1] PASSED astropy/table/tests/test_pickle.py::test_pickle_column[2] PASSED astropy/table/tests/test_pickle.py::test_pickle_column[3] PASSED astropy/table/tests/test_pickle.py::test_pickle_column[4] PASSED astropy/table/tests/test_pickle.py::test_pickle_masked_column[0] PASSED astropy/table/tests/test_pickle.py::test_pickle_masked_column[1] PASSED astropy/table/tests/test_pickle.py::test_pickle_masked_column[2] PASSED astropy/table/tests/test_pickle.py::test_pickle_masked_column[3] PASSED astropy/table/tests/test_pickle.py::test_pickle_masked_column[4] PASSED astropy/table/tests/test_pickle.py::test_pickle_multidimensional_column[0] PASSED astropy/table/tests/test_pickle.py::test_pickle_multidimensional_column[1] PASSED astropy/table/tests/test_pickle.py::test_pickle_multidimensional_column[2] PASSED astropy/table/tests/test_pickle.py::test_pickle_multidimensional_column[3] PASSED astropy/table/tests/test_pickle.py::test_pickle_multidimensional_column[4] PASSED astropy/table/tests/test_pickle.py::test_pickle_table[0] PASSED astropy/table/tests/test_pickle.py::test_pickle_table[1] PASSED astropy/table/tests/test_pickle.py::test_pickle_table[2] PASSED astropy/table/tests/test_pickle.py::test_pickle_table[3] PASSED astropy/table/tests/test_pickle.py::test_pickle_table[4] PASSED astropy/table/tests/test_pickle.py::test_pickle_masked_table[0] PASSED astropy/table/tests/test_pickle.py::test_pickle_masked_table[1] PASSED astropy/table/tests/test_pickle.py::test_pickle_masked_table[2] PASSED astropy/table/tests/test_pickle.py::test_pickle_masked_table[3] PASSED astropy/table/tests/test_pickle.py::test_pickle_masked_table[4] PASSED astropy/table/tests/test_pickle.py::test_pickle_indexed_table[0] PASSED astropy/table/tests/test_pickle.py::test_pickle_indexed_table[1] PASSED astropy/table/tests/test_pickle.py::test_pickle_indexed_table[2] PASSED astropy/table/tests/test_pickle.py::test_pickle_indexed_table[3] PASSED astropy/table/tests/test_pickle.py::test_pickle_indexed_table[4] PASSED astropy/table/tests/test_pprint.py::TestMultiD::test_multidim[False] PASSED astropy/table/tests/test_pprint.py::TestMultiD::test_multidim[True] PASSED astropy/table/tests/test_pprint.py::TestMultiD::test_fake_multidim[False] PASSED astropy/table/tests/test_pprint.py::TestMultiD::test_fake_multidim[True] PASSED astropy/table/tests/test_pprint.py::test_html_escaping PASSED astropy/table/tests/test_pprint.py::TestPprint::test_empty_table[False] PASSED astropy/table/tests/test_pprint.py::TestPprint::test_empty_table[True] PASSED astropy/table/tests/test_pprint.py::TestPprint::test_format0[False] PASSED astropy/table/tests/test_pprint.py::TestPprint::test_format0[True] PASSED astropy/table/tests/test_pprint.py::TestPprint::test_format1[False] PASSED astropy/table/tests/test_pprint.py::TestPprint::test_format1[True] PASSED astropy/table/tests/test_pprint.py::TestPprint::test_format2[False] PASSED astropy/table/tests/test_pprint.py::TestPprint::test_format2[True] PASSED astropy/table/tests/test_pprint.py::TestPprint::test_format3[False] PASSED astropy/table/tests/test_pprint.py::TestPprint::test_format3[True] PASSED astropy/table/tests/test_pprint.py::TestPprint::test_format4[False] PASSED astropy/table/tests/test_pprint.py::TestPprint::test_format4[True] PASSED astropy/table/tests/test_pprint.py::TestPprint::test_noclip[False] PASSED astropy/table/tests/test_pprint.py::TestPprint::test_noclip[True] PASSED astropy/table/tests/test_pprint.py::TestPprint::test_clip1[False] PASSED astropy/table/tests/test_pprint.py::TestPprint::test_clip1[True] PASSED astropy/table/tests/test_pprint.py::TestPprint::test_clip2[False] PASSED astropy/table/tests/test_pprint.py::TestPprint::test_clip2[True] PASSED astropy/table/tests/test_pprint.py::TestPprint::test_clip3[False] PASSED astropy/table/tests/test_pprint.py::TestPprint::test_clip3[True] PASSED astropy/table/tests/test_pprint.py::TestPprint::test_clip4[False] PASSED astropy/table/tests/test_pprint.py::TestPprint::test_clip4[True] PASSED astropy/table/tests/test_pprint.py::TestFormat::test_column_format[False] PASSED astropy/table/tests/test_pprint.py::TestFormat::test_column_format[True] PASSED astropy/table/tests/test_pprint.py::TestFormat::test_column_format_with_threshold[False] PASSED astropy/table/tests/test_pprint.py::TestFormat::test_column_format_with_threshold[True] PASSED astropy/table/tests/test_pprint.py::TestFormat::test_column_format_func[False] PASSED astropy/table/tests/test_pprint.py::TestFormat::test_column_format_func[True] PASSED astropy/table/tests/test_pprint.py::TestFormat::test_column_format_callable[False] PASSED astropy/table/tests/test_pprint.py::TestFormat::test_column_format_callable[True] PASSED astropy/table/tests/test_pprint.py::TestFormat::test_column_format_func_wrong_number_args[False] PASSED astropy/table/tests/test_pprint.py::TestFormat::test_column_format_func_wrong_number_args[True] PASSED astropy/table/tests/test_pprint.py::TestFormat::test_column_format_func_multiD[False] PASSED astropy/table/tests/test_pprint.py::TestFormat::test_column_format_func_multiD[True] PASSED astropy/table/tests/test_pprint.py::TestFormat::test_column_format_func_not_str[False] PASSED astropy/table/tests/test_pprint.py::TestFormat::test_column_format_func_not_str[True] PASSED astropy/table/tests/test_pprint.py::TestFormat::test_column_alignment[False] PASSED astropy/table/tests/test_pprint.py::TestFormat::test_column_alignment[True] PASSED astropy/table/tests/test_pprint.py::TestFormatWithMaskedElements::test_column_format PASSED astropy/table/tests/test_pprint.py::TestFormatWithMaskedElements::test_column_format_with_threshold[False] PASSED astropy/table/tests/test_pprint.py::TestFormatWithMaskedElements::test_column_format_with_threshold[True] PASSED astropy/table/tests/test_pprint.py::TestFormatWithMaskedElements::test_column_format_func PASSED astropy/table/tests/test_pprint.py::TestFormatWithMaskedElements::test_column_format_func_with_special_masked PASSED astropy/table/tests/test_pprint.py::TestFormatWithMaskedElements::test_column_format_callable PASSED astropy/table/tests/test_pprint.py::TestFormatWithMaskedElements::test_column_format_func_wrong_number_args PASSED astropy/table/tests/test_pprint.py::TestFormatWithMaskedElements::test_column_format_func_multiD PASSED astropy/table/tests/test_pprint.py::test_pprint_npfloat32 PASSED astropy/table/tests/test_pprint.py::test_pprint_py3_bytes PASSED astropy/table/tests/test_pprint.py::test_pprint_nameless_col PASSED astropy/table/tests/test_pprint.py::test_html PASSED astropy/table/tests/test_pprint.py::test_align PASSED astropy/table/tests/test_pprint.py::test_auto_format_func PASSED astropy/table/tests/test_pprint.py::test_decode_replace PASSED astropy/table/tests/test_row.py::test_masked_row_with_object_col PASSED astropy/table/tests/test_row.py::TestRow::test_subclass[unmasked] PASSED astropy/table/tests/test_row.py::TestRow::test_subclass[masked] PASSED astropy/table/tests/test_row.py::TestRow::test_subclass[subclass] PASSED astropy/table/tests/test_row.py::TestRow::test_values[unmasked] PASSED astropy/table/tests/test_row.py::TestRow::test_values[masked] PASSED astropy/table/tests/test_row.py::TestRow::test_values[subclass] PASSED astropy/table/tests/test_row.py::TestRow::test_ref[unmasked] PASSED astropy/table/tests/test_row.py::TestRow::test_ref[masked] PASSED astropy/table/tests/test_row.py::TestRow::test_ref[subclass] PASSED astropy/table/tests/test_row.py::TestRow::test_left_equal[unmasked] PASSED astropy/table/tests/test_row.py::TestRow::test_left_equal[masked] PASSED astropy/table/tests/test_row.py::TestRow::test_left_equal[subclass] PASSED astropy/table/tests/test_row.py::TestRow::test_left_not_equal[unmasked] PASSED astropy/table/tests/test_row.py::TestRow::test_left_not_equal[masked] PASSED astropy/table/tests/test_row.py::TestRow::test_left_not_equal[subclass] PASSED astropy/table/tests/test_row.py::TestRow::test_right_equal[unmasked] PASSED astropy/table/tests/test_row.py::TestRow::test_right_equal[masked] PASSED astropy/table/tests/test_row.py::TestRow::test_right_equal[subclass] PASSED astropy/table/tests/test_row.py::TestRow::test_convert_numpy_array[unmasked] PASSED astropy/table/tests/test_row.py::TestRow::test_convert_numpy_array[masked] PASSED astropy/table/tests/test_row.py::TestRow::test_convert_numpy_array[subclass] PASSED astropy/table/tests/test_row.py::TestRow::test_format_row[unmasked] PASSED astropy/table/tests/test_row.py::TestRow::test_format_row[masked] PASSED astropy/table/tests/test_row.py::TestRow::test_format_row[subclass] PASSED astropy/table/tests/test_row.py::TestRow::test_as_void[unmasked] PASSED astropy/table/tests/test_row.py::TestRow::test_as_void[masked] PASSED astropy/table/tests/test_row.py::TestRow::test_as_void[subclass] PASSED astropy/table/tests/test_row.py::TestRow::test_row_and_as_void_with_objects[unmasked] PASSED astropy/table/tests/test_row.py::TestRow::test_row_and_as_void_with_objects[masked] PASSED astropy/table/tests/test_row.py::TestRow::test_row_and_as_void_with_objects[subclass] PASSED astropy/table/tests/test_row.py::TestRow::test_bounds_checking[unmasked] PASSED astropy/table/tests/test_row.py::TestRow::test_bounds_checking[masked] PASSED astropy/table/tests/test_row.py::TestRow::test_bounds_checking[subclass] PASSED astropy/table/tests/test_subclass.py::test_simple_subclass PASSED astropy/table/tests/test_subclass.py::test_params_table PASSED astropy/table/tests/test_table.py::TestSetTableColumn::test_set_row[unmasked] PASSED astropy/table/tests/test_table.py::TestSetTableColumn::test_set_row[masked] PASSED astropy/table/tests/test_table.py::TestSetTableColumn::test_set_row[subclass] PASSED astropy/table/tests/test_table.py::TestSetTableColumn::test_set_row_existing[unmasked] PASSED astropy/table/tests/test_table.py::TestSetTableColumn::test_set_row_existing[masked] PASSED astropy/table/tests/test_table.py::TestSetTableColumn::test_set_row_existing[subclass] PASSED astropy/table/tests/test_table.py::TestSetTableColumn::test_set_row_fail_1[unmasked] PASSED astropy/table/tests/test_table.py::TestSetTableColumn::test_set_row_fail_1[masked] PASSED astropy/table/tests/test_table.py::TestSetTableColumn::test_set_row_fail_1[subclass] PASSED astropy/table/tests/test_table.py::TestSetTableColumn::test_set_row_fail_2[unmasked] PASSED astropy/table/tests/test_table.py::TestSetTableColumn::test_set_row_fail_2[masked] PASSED astropy/table/tests/test_table.py::TestSetTableColumn::test_set_row_fail_2[subclass] PASSED astropy/table/tests/test_table.py::TestSetTableColumn::test_set_new_col_new_table[unmasked] PASSED astropy/table/tests/test_table.py::TestSetTableColumn::test_set_new_col_new_table[masked] PASSED astropy/table/tests/test_table.py::TestSetTableColumn::test_set_new_col_new_table[subclass] PASSED astropy/table/tests/test_table.py::TestSetTableColumn::test_set_new_col_new_table_quantity[unmasked] PASSED astropy/table/tests/test_table.py::TestSetTableColumn::test_set_new_col_new_table_quantity[masked] PASSED astropy/table/tests/test_table.py::TestSetTableColumn::test_set_new_col_new_table_quantity[subclass] PASSED astropy/table/tests/test_table.py::TestSetTableColumn::test_set_new_col_existing_table[unmasked] PASSED astropy/table/tests/test_table.py::TestSetTableColumn::test_set_new_col_existing_table[masked] PASSED astropy/table/tests/test_table.py::TestSetTableColumn::test_set_new_col_existing_table[subclass] PASSED astropy/table/tests/test_table.py::TestSetTableColumn::test_set_new_unmasked_col_existing_table[unmasked] PASSED astropy/table/tests/test_table.py::TestSetTableColumn::test_set_new_unmasked_col_existing_table[masked] PASSED astropy/table/tests/test_table.py::TestSetTableColumn::test_set_new_unmasked_col_existing_table[subclass] PASSED astropy/table/tests/test_table.py::TestSetTableColumn::test_set_new_masked_col_existing_table[unmasked] PASSED astropy/table/tests/test_table.py::TestSetTableColumn::test_set_new_masked_col_existing_table[masked] PASSED astropy/table/tests/test_table.py::TestSetTableColumn::test_set_new_masked_col_existing_table[subclass] PASSED astropy/table/tests/test_table.py::TestSetTableColumn::test_set_new_col_existing_table_fail[unmasked] PASSED astropy/table/tests/test_table.py::TestSetTableColumn::test_set_new_col_existing_table_fail[masked] PASSED astropy/table/tests/test_table.py::TestSetTableColumn::test_set_new_col_existing_table_fail[subclass] PASSED astropy/table/tests/test_table.py::TestEmptyData::test_1[unmasked] PASSED astropy/table/tests/test_table.py::TestEmptyData::test_1[masked] PASSED astropy/table/tests/test_table.py::TestEmptyData::test_1[subclass] PASSED astropy/table/tests/test_table.py::TestEmptyData::test_2[unmasked] PASSED astropy/table/tests/test_table.py::TestEmptyData::test_2[masked] PASSED astropy/table/tests/test_table.py::TestEmptyData::test_2[subclass] PASSED astropy/table/tests/test_table.py::TestEmptyData::test_3[unmasked] PASSED astropy/table/tests/test_table.py::TestEmptyData::test_3[masked] PASSED astropy/table/tests/test_table.py::TestEmptyData::test_3[subclass] PASSED astropy/table/tests/test_table.py::TestEmptyData::test_4[unmasked] PASSED astropy/table/tests/test_table.py::TestEmptyData::test_4[masked] PASSED astropy/table/tests/test_table.py::TestEmptyData::test_4[subclass] PASSED astropy/table/tests/test_table.py::TestEmptyData::test_5[unmasked] PASSED astropy/table/tests/test_table.py::TestEmptyData::test_5[masked] PASSED astropy/table/tests/test_table.py::TestEmptyData::test_5[subclass] PASSED astropy/table/tests/test_table.py::TestEmptyData::test_add_via_setitem_and_slice[unmasked] PASSED astropy/table/tests/test_table.py::TestEmptyData::test_add_via_setitem_and_slice[masked] PASSED astropy/table/tests/test_table.py::TestEmptyData::test_add_via_setitem_and_slice[subclass] PASSED astropy/table/tests/test_table.py::TestNewFromColumns::test_simple[unmasked] PASSED astropy/table/tests/test_table.py::TestNewFromColumns::test_simple[masked] PASSED astropy/table/tests/test_table.py::TestNewFromColumns::test_simple[subclass] PASSED astropy/table/tests/test_table.py::TestNewFromColumns::test_from_np_array[unmasked] PASSED astropy/table/tests/test_table.py::TestNewFromColumns::test_from_np_array[masked] PASSED astropy/table/tests/test_table.py::TestNewFromColumns::test_from_np_array[subclass] PASSED astropy/table/tests/test_table.py::TestNewFromColumns::test_size_mismatch[unmasked] PASSED astropy/table/tests/test_table.py::TestNewFromColumns::test_size_mismatch[masked] PASSED astropy/table/tests/test_table.py::TestNewFromColumns::test_size_mismatch[subclass] PASSED astropy/table/tests/test_table.py::TestNewFromColumns::test_name_none[unmasked] PASSED astropy/table/tests/test_table.py::TestNewFromColumns::test_name_none[masked] PASSED astropy/table/tests/test_table.py::TestNewFromColumns::test_name_none[subclass] PASSED astropy/table/tests/test_table.py::TestReverse::test_reverse[unmasked] PASSED astropy/table/tests/test_table.py::TestReverse::test_reverse[masked] PASSED astropy/table/tests/test_table.py::TestReverse::test_reverse[subclass] PASSED astropy/table/tests/test_table.py::TestReverse::test_reverse_big[unmasked] PASSED astropy/table/tests/test_table.py::TestReverse::test_reverse_big[masked] PASSED astropy/table/tests/test_table.py::TestReverse::test_reverse_big[subclass] PASSED astropy/table/tests/test_table.py::TestColumnAccess::test_1[unmasked] PASSED astropy/table/tests/test_table.py::TestColumnAccess::test_1[masked] PASSED astropy/table/tests/test_table.py::TestColumnAccess::test_1[subclass] PASSED astropy/table/tests/test_table.py::TestColumnAccess::test_2[unmasked] PASSED astropy/table/tests/test_table.py::TestColumnAccess::test_2[masked] PASSED astropy/table/tests/test_table.py::TestColumnAccess::test_2[subclass] PASSED astropy/table/tests/test_table.py::TestColumnAccess::test_itercols[unmasked] PASSED astropy/table/tests/test_table.py::TestColumnAccess::test_itercols[masked] PASSED astropy/table/tests/test_table.py::TestColumnAccess::test_itercols[subclass] PASSED astropy/table/tests/test_table.py::TestAddLength::test_right_length[unmasked] PASSED astropy/table/tests/test_table.py::TestAddLength::test_right_length[masked] PASSED astropy/table/tests/test_table.py::TestAddLength::test_right_length[subclass] PASSED astropy/table/tests/test_table.py::TestAddLength::test_too_long[unmasked] PASSED astropy/table/tests/test_table.py::TestAddLength::test_too_long[masked] PASSED astropy/table/tests/test_table.py::TestAddLength::test_too_long[subclass] PASSED astropy/table/tests/test_table.py::TestAddLength::test_too_short[unmasked] PASSED astropy/table/tests/test_table.py::TestAddLength::test_too_short[masked] PASSED astropy/table/tests/test_table.py::TestAddLength::test_too_short[subclass] PASSED astropy/table/tests/test_table.py::TestAddPosition::test_1[unmasked] PASSED astropy/table/tests/test_table.py::TestAddPosition::test_1[masked] PASSED astropy/table/tests/test_table.py::TestAddPosition::test_1[subclass] PASSED astropy/table/tests/test_table.py::TestAddPosition::test_2[unmasked] PASSED astropy/table/tests/test_table.py::TestAddPosition::test_2[masked] PASSED astropy/table/tests/test_table.py::TestAddPosition::test_2[subclass] PASSED astropy/table/tests/test_table.py::TestAddPosition::test_3[unmasked] PASSED astropy/table/tests/test_table.py::TestAddPosition::test_3[masked] PASSED astropy/table/tests/test_table.py::TestAddPosition::test_3[subclass] PASSED astropy/table/tests/test_table.py::TestAddPosition::test_5[unmasked] PASSED astropy/table/tests/test_table.py::TestAddPosition::test_5[masked] PASSED astropy/table/tests/test_table.py::TestAddPosition::test_5[subclass] PASSED astropy/table/tests/test_table.py::TestAddPosition::test_6[unmasked] PASSED astropy/table/tests/test_table.py::TestAddPosition::test_6[masked] PASSED astropy/table/tests/test_table.py::TestAddPosition::test_6[subclass] PASSED astropy/table/tests/test_table.py::TestAddPosition::test_7[unmasked] PASSED astropy/table/tests/test_table.py::TestAddPosition::test_7[masked] PASSED astropy/table/tests/test_table.py::TestAddPosition::test_7[subclass] PASSED astropy/table/tests/test_table.py::TestAddPosition::test_8[unmasked] PASSED astropy/table/tests/test_table.py::TestAddPosition::test_8[masked] PASSED astropy/table/tests/test_table.py::TestAddPosition::test_8[subclass] PASSED astropy/table/tests/test_table.py::TestAddPosition::test_9[unmasked] PASSED astropy/table/tests/test_table.py::TestAddPosition::test_9[masked] PASSED astropy/table/tests/test_table.py::TestAddPosition::test_9[subclass] PASSED astropy/table/tests/test_table.py::TestAddPosition::test_10[unmasked] PASSED astropy/table/tests/test_table.py::TestAddPosition::test_10[masked] PASSED astropy/table/tests/test_table.py::TestAddPosition::test_10[subclass] PASSED astropy/table/tests/test_table.py::TestAddName::test_override_name[unmasked] PASSED astropy/table/tests/test_table.py::TestAddName::test_override_name[masked] PASSED astropy/table/tests/test_table.py::TestAddName::test_override_name[subclass] PASSED astropy/table/tests/test_table.py::TestAddName::test_default_name[unmasked] PASSED astropy/table/tests/test_table.py::TestAddName::test_default_name[masked] PASSED astropy/table/tests/test_table.py::TestAddName::test_default_name[subclass] PASSED astropy/table/tests/test_table.py::TestInitFromTable::test_from_table_cols[unmasked] PASSED astropy/table/tests/test_table.py::TestInitFromTable::test_from_table_cols[masked] PASSED astropy/table/tests/test_table.py::TestInitFromTable::test_from_table_cols[subclass] PASSED astropy/table/tests/test_table.py::TestAddColumns::test_add_columns1[unmasked] PASSED astropy/table/tests/test_table.py::TestAddColumns::test_add_columns1[masked] PASSED astropy/table/tests/test_table.py::TestAddColumns::test_add_columns1[subclass] PASSED astropy/table/tests/test_table.py::TestAddColumns::test_add_columns2[unmasked] PASSED astropy/table/tests/test_table.py::TestAddColumns::test_add_columns2[masked] PASSED astropy/table/tests/test_table.py::TestAddColumns::test_add_columns2[subclass] PASSED astropy/table/tests/test_table.py::TestAddColumns::test_add_columns3[unmasked] PASSED astropy/table/tests/test_table.py::TestAddColumns::test_add_columns3[masked] PASSED astropy/table/tests/test_table.py::TestAddColumns::test_add_columns3[subclass] PASSED astropy/table/tests/test_table.py::TestAddColumns::test_add_columns4[unmasked] PASSED astropy/table/tests/test_table.py::TestAddColumns::test_add_columns4[masked] PASSED astropy/table/tests/test_table.py::TestAddColumns::test_add_columns4[subclass] PASSED astropy/table/tests/test_table.py::TestAddColumns::test_add_columns5[unmasked] PASSED astropy/table/tests/test_table.py::TestAddColumns::test_add_columns5[masked] PASSED astropy/table/tests/test_table.py::TestAddColumns::test_add_columns5[subclass] PASSED astropy/table/tests/test_table.py::TestAddColumns::test_add_columns6[unmasked] PASSED astropy/table/tests/test_table.py::TestAddColumns::test_add_columns6[masked] PASSED astropy/table/tests/test_table.py::TestAddColumns::test_add_columns6[subclass] PASSED astropy/table/tests/test_table.py::TestAddColumns::test_add_columns7[unmasked] PASSED astropy/table/tests/test_table.py::TestAddColumns::test_add_columns7[masked] PASSED astropy/table/tests/test_table.py::TestAddColumns::test_add_columns7[subclass] PASSED astropy/table/tests/test_table.py::TestAddColumns::test_add_duplicate_column[unmasked] PASSED astropy/table/tests/test_table.py::TestAddColumns::test_add_duplicate_column[masked] PASSED astropy/table/tests/test_table.py::TestAddColumns::test_add_duplicate_column[subclass] PASSED astropy/table/tests/test_table.py::TestAddColumns::test_add_duplicate_columns[unmasked] PASSED astropy/table/tests/test_table.py::TestAddColumns::test_add_duplicate_columns[masked] PASSED astropy/table/tests/test_table.py::TestAddColumns::test_add_duplicate_columns[subclass] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_none_to_empty_table[unmasked] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_none_to_empty_table[masked] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_none_to_empty_table[subclass] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_stuff_to_empty_table[unmasked] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_stuff_to_empty_table[masked] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_stuff_to_empty_table[subclass] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_table_row[unmasked] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_table_row[masked] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_table_row[subclass] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_table_row_obj[unmasked] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_table_row_obj[masked] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_table_row_obj[subclass] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_qtable_row_multidimensional[unmasked] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_qtable_row_multidimensional[masked] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_qtable_row_multidimensional[subclass] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_with_tuple[unmasked] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_with_tuple[masked] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_with_tuple[subclass] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_with_list[unmasked] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_with_list[masked] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_with_list[subclass] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_with_dict[unmasked] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_with_dict[masked] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_with_dict[subclass] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_with_none[unmasked] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_with_none[masked] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_with_none[subclass] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_missing_column[unmasked] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_missing_column[masked] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_missing_column[subclass] PASSED astropy/table/tests/test_table.py::TestAddRow::test_wrong_size_tuple[unmasked] PASSED astropy/table/tests/test_table.py::TestAddRow::test_wrong_size_tuple[masked] PASSED astropy/table/tests/test_table.py::TestAddRow::test_wrong_size_tuple[subclass] PASSED astropy/table/tests/test_table.py::TestAddRow::test_wrong_vals_type[unmasked] PASSED astropy/table/tests/test_table.py::TestAddRow::test_wrong_vals_type[masked] PASSED astropy/table/tests/test_table.py::TestAddRow::test_wrong_vals_type[subclass] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_row_failures[unmasked] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_row_failures[masked] PASSED astropy/table/tests/test_table.py::TestAddRow::test_add_row_failures[subclass] PASSED astropy/table/tests/test_table.py::TestAddRow::test_insert_table_row[unmasked] PASSED astropy/table/tests/test_table.py::TestAddRow::test_insert_table_row[masked] PASSED astropy/table/tests/test_table.py::TestAddRow::test_insert_table_row[subclass] PASSED astropy/table/tests/test_table.py::TestTableColumn::test_column_view[unmasked] PASSED astropy/table/tests/test_table.py::TestTableColumn::test_column_view[masked] PASSED astropy/table/tests/test_table.py::TestTableColumn::test_column_view[subclass] PASSED astropy/table/tests/test_table.py::TestArrayColumns::test_1d[unmasked] PASSED astropy/table/tests/test_table.py::TestArrayColumns::test_1d[masked] PASSED astropy/table/tests/test_table.py::TestArrayColumns::test_1d[subclass] PASSED astropy/table/tests/test_table.py::TestArrayColumns::test_2d[unmasked] PASSED astropy/table/tests/test_table.py::TestArrayColumns::test_2d[masked] PASSED astropy/table/tests/test_table.py::TestArrayColumns::test_2d[subclass] PASSED astropy/table/tests/test_table.py::TestArrayColumns::test_3d[unmasked] PASSED astropy/table/tests/test_table.py::TestArrayColumns::test_3d[masked] PASSED astropy/table/tests/test_table.py::TestArrayColumns::test_3d[subclass] PASSED astropy/table/tests/test_table.py::TestRemove::test_1[unmasked] PASSED astropy/table/tests/test_table.py::TestRemove::test_1[masked] PASSED astropy/table/tests/test_table.py::TestRemove::test_1[subclass] PASSED astropy/table/tests/test_table.py::TestRemove::test_2[unmasked] PASSED astropy/table/tests/test_table.py::TestRemove::test_2[masked] PASSED astropy/table/tests/test_table.py::TestRemove::test_2[subclass] PASSED astropy/table/tests/test_table.py::TestRemove::test_3[unmasked] PASSED astropy/table/tests/test_table.py::TestRemove::test_3[masked] PASSED astropy/table/tests/test_table.py::TestRemove::test_3[subclass] PASSED astropy/table/tests/test_table.py::TestRemove::test_remove_nonexistent_row[unmasked] PASSED astropy/table/tests/test_table.py::TestRemove::test_remove_nonexistent_row[masked] PASSED astropy/table/tests/test_table.py::TestRemove::test_remove_nonexistent_row[subclass] PASSED astropy/table/tests/test_table.py::TestRemove::test_remove_row_0[unmasked] PASSED astropy/table/tests/test_table.py::TestRemove::test_remove_row_0[masked] PASSED astropy/table/tests/test_table.py::TestRemove::test_remove_row_0[subclass] PASSED astropy/table/tests/test_table.py::TestRemove::test_remove_row_1[unmasked] PASSED astropy/table/tests/test_table.py::TestRemove::test_remove_row_1[masked] PASSED astropy/table/tests/test_table.py::TestRemove::test_remove_row_1[subclass] PASSED astropy/table/tests/test_table.py::TestRemove::test_remove_row_2[unmasked] PASSED astropy/table/tests/test_table.py::TestRemove::test_remove_row_2[masked] PASSED astropy/table/tests/test_table.py::TestRemove::test_remove_row_2[subclass] PASSED astropy/table/tests/test_table.py::TestRemove::test_remove_row_slice[unmasked] PASSED astropy/table/tests/test_table.py::TestRemove::test_remove_row_slice[masked] PASSED astropy/table/tests/test_table.py::TestRemove::test_remove_row_slice[subclass] PASSED astropy/table/tests/test_table.py::TestRemove::test_remove_row_list[unmasked] PASSED astropy/table/tests/test_table.py::TestRemove::test_remove_row_list[masked] PASSED astropy/table/tests/test_table.py::TestRemove::test_remove_row_list[subclass] PASSED astropy/table/tests/test_table.py::TestRemove::test_remove_row_preserves_meta[unmasked] PASSED astropy/table/tests/test_table.py::TestRemove::test_remove_row_preserves_meta[masked] PASSED astropy/table/tests/test_table.py::TestRemove::test_remove_row_preserves_meta[subclass] PASSED astropy/table/tests/test_table.py::TestRemove::test_delitem1[unmasked] PASSED astropy/table/tests/test_table.py::TestRemove::test_delitem1[masked] PASSED astropy/table/tests/test_table.py::TestRemove::test_delitem1[subclass] PASSED astropy/table/tests/test_table.py::TestRemove::test_delitem2[unmasked] PASSED astropy/table/tests/test_table.py::TestRemove::test_delitem2[masked] PASSED astropy/table/tests/test_table.py::TestRemove::test_delitem2[subclass] PASSED astropy/table/tests/test_table.py::TestRemove::test_delitems[unmasked] PASSED astropy/table/tests/test_table.py::TestRemove::test_delitems[masked] PASSED astropy/table/tests/test_table.py::TestRemove::test_delitems[subclass] PASSED astropy/table/tests/test_table.py::TestRemove::test_delitem_fail[unmasked] PASSED astropy/table/tests/test_table.py::TestRemove::test_delitem_fail[masked] PASSED astropy/table/tests/test_table.py::TestRemove::test_delitem_fail[subclass] PASSED astropy/table/tests/test_table.py::TestKeep::test_1[unmasked] PASSED astropy/table/tests/test_table.py::TestKeep::test_1[masked] PASSED astropy/table/tests/test_table.py::TestKeep::test_1[subclass] PASSED astropy/table/tests/test_table.py::TestKeep::test_2[unmasked] PASSED astropy/table/tests/test_table.py::TestKeep::test_2[masked] PASSED astropy/table/tests/test_table.py::TestKeep::test_2[subclass] PASSED astropy/table/tests/test_table.py::TestRename::test_1[unmasked] PASSED astropy/table/tests/test_table.py::TestRename::test_1[masked] PASSED astropy/table/tests/test_table.py::TestRename::test_1[subclass] PASSED astropy/table/tests/test_table.py::TestRename::test_2[unmasked] PASSED astropy/table/tests/test_table.py::TestRename::test_2[masked] PASSED astropy/table/tests/test_table.py::TestRename::test_2[subclass] PASSED astropy/table/tests/test_table.py::TestRename::test_rename_by_attr[unmasked] PASSED astropy/table/tests/test_table.py::TestRename::test_rename_by_attr[masked] PASSED astropy/table/tests/test_table.py::TestRename::test_rename_by_attr[subclass] PASSED astropy/table/tests/test_table.py::TestSort::test_single[unmasked] PASSED astropy/table/tests/test_table.py::TestSort::test_single[masked] PASSED astropy/table/tests/test_table.py::TestSort::test_single[subclass] PASSED astropy/table/tests/test_table.py::TestSort::test_single_big[unmasked] PASSED astropy/table/tests/test_table.py::TestSort::test_single_big[masked] PASSED astropy/table/tests/test_table.py::TestSort::test_single_big[subclass] PASSED astropy/table/tests/test_table.py::TestSort::test_empty[unmasked] PASSED astropy/table/tests/test_table.py::TestSort::test_empty[masked] PASSED astropy/table/tests/test_table.py::TestSort::test_empty[subclass] PASSED astropy/table/tests/test_table.py::TestSort::test_multiple[unmasked] PASSED astropy/table/tests/test_table.py::TestSort::test_multiple[masked] PASSED astropy/table/tests/test_table.py::TestSort::test_multiple[subclass] PASSED astropy/table/tests/test_table.py::TestSort::test_multiple_with_bytes[unmasked] PASSED astropy/table/tests/test_table.py::TestSort::test_multiple_with_bytes[masked] PASSED astropy/table/tests/test_table.py::TestSort::test_multiple_with_bytes[subclass] PASSED astropy/table/tests/test_table.py::TestSort::test_multiple_with_unicode[unmasked] PASSED astropy/table/tests/test_table.py::TestSort::test_multiple_with_unicode[masked] PASSED astropy/table/tests/test_table.py::TestSort::test_multiple_with_unicode[subclass] PASSED astropy/table/tests/test_table.py::TestSort::test_argsort[unmasked] PASSED astropy/table/tests/test_table.py::TestSort::test_argsort[masked] PASSED astropy/table/tests/test_table.py::TestSort::test_argsort[subclass] PASSED astropy/table/tests/test_table.py::TestSort::test_argsort_bytes[unmasked] PASSED astropy/table/tests/test_table.py::TestSort::test_argsort_bytes[masked] PASSED astropy/table/tests/test_table.py::TestSort::test_argsort_bytes[subclass] PASSED astropy/table/tests/test_table.py::TestSort::test_argsort_unicode[unmasked] PASSED astropy/table/tests/test_table.py::TestSort::test_argsort_unicode[masked] PASSED astropy/table/tests/test_table.py::TestSort::test_argsort_unicode[subclass] PASSED astropy/table/tests/test_table.py::TestSort::test_rebuild_column_view_then_rename[unmasked] PASSED astropy/table/tests/test_table.py::TestSort::test_rebuild_column_view_then_rename[masked] PASSED astropy/table/tests/test_table.py::TestSort::test_rebuild_column_view_then_rename[subclass] PASSED astropy/table/tests/test_table.py::TestIterator::test_iterator[unmasked] PASSED astropy/table/tests/test_table.py::TestIterator::test_iterator[masked] PASSED astropy/table/tests/test_table.py::TestIterator::test_iterator[subclass] PASSED astropy/table/tests/test_table.py::TestSetMeta::test_set_meta[unmasked] PASSED astropy/table/tests/test_table.py::TestSetMeta::test_set_meta[masked] PASSED astropy/table/tests/test_table.py::TestSetMeta::test_set_meta[subclass] PASSED astropy/table/tests/test_table.py::TestConvertNumpyArray::test_convert_numpy_array[unmasked] PASSED astropy/table/tests/test_table.py::TestConvertNumpyArray::test_convert_numpy_array[masked] PASSED astropy/table/tests/test_table.py::TestConvertNumpyArray::test_convert_numpy_array[subclass] PASSED astropy/table/tests/test_table.py::TestConvertNumpyArray::test_as_array_byteswap[unmasked] PASSED astropy/table/tests/test_table.py::TestConvertNumpyArray::test_as_array_byteswap[masked] PASSED astropy/table/tests/test_table.py::TestConvertNumpyArray::test_as_array_byteswap[subclass] PASSED astropy/table/tests/test_table.py::TestConvertNumpyArray::test_byteswap_fits_array[unmasked] PASSED astropy/table/tests/test_table.py::TestConvertNumpyArray::test_byteswap_fits_array[masked] PASSED astropy/table/tests/test_table.py::TestConvertNumpyArray::test_byteswap_fits_array[subclass] PASSED astropy/table/tests/test_table.py::test_copy PASSED astropy/table/tests/test_table.py::test_copy_masked PASSED astropy/table/tests/test_table.py::test_copy_protocol PASSED astropy/table/tests/test_table.py::test_disallow_inequality_comparisons PASSED astropy/table/tests/test_table.py::test_equality PASSED astropy/table/tests/test_table.py::test_equality_masked PASSED astropy/table/tests/test_table.py::test_equality_masked_bug xfail astropy/table/tests/test_table.py::TestMetaTable::test_none <- lib.linux-x86_64-3.6/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_table.py::TestMetaTable::test_mapping_init[meta0] <- lib.linux-x86_64-3.6/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_table.py::TestMetaTable::test_mapping_init[meta1] <- lib.linux-x86_64-3.6/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_table.py::TestMetaTable::test_mapping_init[meta2] <- lib.linux-x86_64-3.6/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_table.py::TestMetaTable::test_non_mapping_init[ceci n'est pas un meta] <- lib.linux-x86_64-3.6/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_table.py::TestMetaTable::test_non_mapping_init[1.2] <- lib.linux-x86_64-3.6/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_table.py::TestMetaTable::test_non_mapping_init[meta2] <- lib.linux-x86_64-3.6/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_table.py::TestMetaTable::test_mapping_set[meta0] <- lib.linux-x86_64-3.6/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_table.py::TestMetaTable::test_mapping_set[meta1] <- lib.linux-x86_64-3.6/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_table.py::TestMetaTable::test_mapping_set[meta2] <- lib.linux-x86_64-3.6/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_table.py::TestMetaTable::test_non_mapping_set[ceci n'est pas un meta] <- lib.linux-x86_64-3.6/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_table.py::TestMetaTable::test_non_mapping_set[1.2] <- lib.linux-x86_64-3.6/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_table.py::TestMetaTable::test_non_mapping_set[meta2] <- lib.linux-x86_64-3.6/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_table.py::TestMetaTable::test_meta_fits_header <- lib.linux-x86_64-3.6/astropy/utils/tests/test_metadata.py PASSED astropy/table/tests/test_table.py::test_unicode_column_names[unmasked] PASSED astropy/table/tests/test_table.py::test_unicode_column_names[masked] PASSED astropy/table/tests/test_table.py::test_unicode_column_names[subclass] PASSED astropy/table/tests/test_table.py::test_unicode_content PASSED astropy/table/tests/test_table.py::test_unicode_policy PASSED astropy/table/tests/test_table.py::test_unicode_bytestring_conversion[unmasked] PASSED astropy/table/tests/test_table.py::test_unicode_bytestring_conversion[masked] PASSED astropy/table/tests/test_table.py::test_unicode_bytestring_conversion[subclass] PASSED astropy/table/tests/test_table.py::test_table_deletion PASSED astropy/table/tests/test_table.py::test_nested_iteration PASSED astropy/table/tests/test_table.py::test_table_init_from_degenerate_arrays[unmasked] PASSED astropy/table/tests/test_table.py::test_table_init_from_degenerate_arrays[masked] PASSED astropy/table/tests/test_table.py::test_table_init_from_degenerate_arrays[subclass] PASSED astropy/table/tests/test_table.py::TestPandas::test_simple SKIPPED astropy/table/tests/test_table.py::TestPandas::test_2d SKIPPED astropy/table/tests/test_table.py::TestPandas::test_mixin SKIPPED astropy/table/tests/test_table.py::TestPandas::test_masking SKIPPED astropy/table/tests/test_table.py::TestReplaceColumn::test_fail_replace_column[unmasked] PASSED astropy/table/tests/test_table.py::TestReplaceColumn::test_fail_replace_column[masked] PASSED astropy/table/tests/test_table.py::TestReplaceColumn::test_fail_replace_column[subclass] PASSED astropy/table/tests/test_table.py::TestReplaceColumn::test_replace_column[unmasked] PASSED astropy/table/tests/test_table.py::TestReplaceColumn::test_replace_column[masked] PASSED astropy/table/tests/test_table.py::TestReplaceColumn::test_replace_column[subclass] PASSED astropy/table/tests/test_table.py::TestReplaceColumn::test_replace_index_column[unmasked] PASSED astropy/table/tests/test_table.py::TestReplaceColumn::test_replace_index_column[masked] PASSED astropy/table/tests/test_table.py::TestReplaceColumn::test_replace_index_column[subclass] PASSED astropy/table/tests/test_table.py::Test__Astropy_Table__::test_simple_1 PASSED astropy/table/tests/test_table.py::Test__Astropy_Table__::test_simple_2 PASSED astropy/table/tests/test_table.py::Test__Astropy_Table__::test_kwargs_exception PASSED astropy/table/tests/test_table.py::test_replace_column_qtable PASSED astropy/table/tests/test_table.py::test_replace_update_column_via_setitem PASSED astropy/table/tests/test_table.py::test_replace_update_column_via_setitem_warnings_normal PASSED astropy/table/tests/test_table.py::test_replace_update_column_via_setitem_warnings_slice PASSED astropy/table/tests/test_table.py::test_replace_update_column_via_setitem_warnings_attributes PASSED astropy/table/tests/test_table.py::test_replace_update_column_via_setitem_warnings_refcount PASSED astropy/table/tests/test_table.py::test_replace_update_column_via_setitem_warnings_always PASSED astropy/table/tests/test_table.py::test_replace_update_column_via_setitem_replace_inplace PASSED astropy/table/tests/test_table.py::test_primary_key_is_inherited PASSED astropy/table/tests/test_table.py::test_qtable_read_for_ipac_table_with_char_columns PASSED astropy/tests/test_logger.py::test_warnings_logging_disable_no_enable PASSED astropy/tests/test_logger.py::test_warnings_logging_enable_twice PASSED astropy/tests/test_logger.py::test_warnings_logging_overridden PASSED astropy/tests/test_logger.py::test_warnings_logging PASSED astropy/tests/test_logger.py::test_warnings_logging_with_custom_class PASSED astropy/tests/test_logger.py::test_warning_logging_with_io_votable_warning PASSED astropy/tests/test_logger.py::test_import_error_in_warning_logging PASSED astropy/tests/test_logger.py::test_exception_logging_disable_no_enable PASSED astropy/tests/test_logger.py::test_exception_logging_enable_twice PASSED astropy/tests/test_logger.py::test_exception_logging_overridden PASSED astropy/tests/test_logger.py::test_exception_logging PASSED astropy/tests/test_logger.py::test_exception_logging_origin PASSED astropy/tests/test_logger.py::test_exception_logging_argless_exception SKIPPED astropy/tests/test_logger.py::test_log_to_list[None] PASSED astropy/tests/test_logger.py::test_log_to_list[DEBUG] PASSED astropy/tests/test_logger.py::test_log_to_list[INFO] PASSED astropy/tests/test_logger.py::test_log_to_list[WARN] PASSED astropy/tests/test_logger.py::test_log_to_list[ERROR] PASSED astropy/tests/test_logger.py::test_log_to_list_level PASSED astropy/tests/test_logger.py::test_log_to_list_origin1 PASSED astropy/tests/test_logger.py::test_log_to_list_origin2 PASSED astropy/tests/test_logger.py::test_log_to_file[None] PASSED astropy/tests/test_logger.py::test_log_to_file[DEBUG] PASSED astropy/tests/test_logger.py::test_log_to_file[INFO] PASSED astropy/tests/test_logger.py::test_log_to_file[WARN] PASSED astropy/tests/test_logger.py::test_log_to_file[ERROR] PASSED astropy/tests/test_logger.py::test_log_to_file_level PASSED astropy/tests/test_logger.py::test_log_to_file_origin1 PASSED astropy/tests/test_logger.py::test_log_to_file_origin2 PASSED astropy/tests/tests/test_imports.py::test_imports PASSED astropy/tests/tests/test_imports.py::test_toplevel_namespace PASSED astropy/tests/tests/test_open_file_detection.py::test_open_file_detection PASSED astropy/tests/tests/test_quantity_helpers.py::test_assert_quantity_allclose PASSED astropy/tests/tests/test_run_tests.py::test_module_not_found PASSED astropy/tests/tests/test_run_tests.py::test_pastebin_keyword PASSED astropy/tests/tests/test_run_tests.py::test_unicode_literal_conversion PASSED astropy/tests/tests/test_run_tests.py::test_doctest_float_replacement PASSED astropy/tests/tests/test_runner.py::test_disable_kwarg PASSED astropy/tests/tests/test_runner.py::test_wrong_kwarg PASSED astropy/tests/tests/test_runner.py::test_invalid_kwarg PASSED astropy/tests/tests/test_runner.py::test_new_kwarg PASSED astropy/tests/tests/test_runner.py::test_priority PASSED astropy/tests/tests/test_runner.py::test_docs PASSED astropy/tests/tests/test_skip_remote_data.py::test_skip_remote_data SKIPPED astropy/tests/tests/test_skip_remote_data.py::test_skip_remote_data_astropy SKIPPED astropy/tests/tests/test_socketblocker.py::test_outgoing_fails PASSED astropy/tests/tests/test_socketblocker.py::test_localconnect_succeeds[localhost] PASSED astropy/tests/tests/test_socketblocker.py::test_localconnect_succeeds[127.0.0.1] PASSED astropy/tests/tests/test_socketblocker.py::test_multiprocessing_forkserver SKIPPED astropy/time/core.py::astropy.time.core.Time PASSED astropy/time/core.py::astropy.time.core.Time.format PASSED astropy/time/core.py::astropy.time.core.Time.get_delta_ut1_utc PASSED astropy/time/core.py::astropy.time.core.TimeDelta PASSED astropy/time/formats.py::astropy.time.formats.TimeDatetime PASSED astropy/time/formats.py::astropy.time.formats.TimezoneInfo.__init__ PASSED astropy/time/tests/test_basic.py::TestBasic::test_simple PASSED astropy/time/tests/test_basic.py::TestBasic::test_different_dimensions PASSED astropy/time/tests/test_basic.py::TestBasic::test_copy_time[2455197.5] PASSED astropy/time/tests/test_basic.py::TestBasic::test_copy_time[value1] PASSED astropy/time/tests/test_basic.py::TestBasic::test_getitem PASSED astropy/time/tests/test_basic.py::TestBasic::test_properties PASSED astropy/time/tests/test_basic.py::TestBasic::test_precision PASSED astropy/time/tests/test_basic.py::TestBasic::test_transforms PASSED astropy/time/tests/test_basic.py::TestBasic::test_location PASSED astropy/time/tests/test_basic.py::TestBasic::test_location_array PASSED astropy/time/tests/test_basic.py::TestBasic::test_all_transforms PASSED astropy/time/tests/test_basic.py::TestBasic::test_creating_all_formats PASSED astropy/time/tests/test_basic.py::TestBasic::test_datetime PASSED astropy/time/tests/test_basic.py::TestBasic::test_epoch_transform PASSED astropy/time/tests/test_basic.py::TestBasic::test_input_validation PASSED astropy/time/tests/test_basic.py::TestBasic::test_utc_leap_sec PASSED astropy/time/tests/test_basic.py::TestBasic::test_init_from_time_objects PASSED astropy/time/tests/test_basic.py::TestVal2::test_val2_ignored PASSED astropy/time/tests/test_basic.py::TestVal2::test_val2 PASSED astropy/time/tests/test_basic.py::TestVal2::test_val_broadcasts_against_val2 PASSED astropy/time/tests/test_basic.py::TestSubFormat::test_input_subformat PASSED astropy/time/tests/test_basic.py::TestSubFormat::test_input_subformat_fail PASSED astropy/time/tests/test_basic.py::TestSubFormat::test_bad_input_subformat PASSED astropy/time/tests/test_basic.py::TestSubFormat::test_output_subformat PASSED astropy/time/tests/test_basic.py::TestSubFormat::test_fits_format PASSED astropy/time/tests/test_basic.py::TestSubFormat::test_yday_format PASSED astropy/time/tests/test_basic.py::TestSubFormat::test_scale_input PASSED astropy/time/tests/test_basic.py::TestSubFormat::test_fits_scale PASSED astropy/time/tests/test_basic.py::TestSubFormat::test_fits_scale_representation PASSED astropy/time/tests/test_basic.py::TestSubFormat::test_scale_default PASSED astropy/time/tests/test_basic.py::TestSubFormat::test_epoch_times PASSED astropy/time/tests/test_basic.py::TestSofaErrors::test_bad_time PASSED astropy/time/tests/test_basic.py::TestCopyReplicate::test_immutable_input PASSED astropy/time/tests/test_basic.py::TestCopyReplicate::test_replicate PASSED astropy/time/tests/test_basic.py::TestCopyReplicate::test_copy PASSED astropy/time/tests/test_basic.py::test_python_builtin_copy PASSED astropy/time/tests/test_basic.py::test_now PASSED astropy/time/tests/test_basic.py::test_decimalyear PASSED astropy/time/tests/test_basic.py::test_fits_year0 PASSED astropy/time/tests/test_basic.py::test_fits_year10000 PASSED astropy/time/tests/test_basic.py::test_dir PASSED astropy/time/tests/test_basic.py::test_bool PASSED astropy/time/tests/test_basic.py::test_len_size PASSED astropy/time/tests/test_basic.py::test_TimeFormat_scale PASSED astropy/time/tests/test_basic.py::test_scale_conversion PASSED astropy/time/tests/test_basic.py::test_byteorder PASSED astropy/time/tests/test_basic.py::test_datetime_tzinfo PASSED astropy/time/tests/test_basic.py::test_subfmts_regex PASSED astropy/time/tests/test_basic.py::test_set_format_basic PASSED astropy/time/tests/test_basic.py::test_set_format_shares_subfmt PASSED astropy/time/tests/test_basic.py::test_set_format_does_not_share_subfmt PASSED astropy/time/tests/test_basic.py::test_replicate_value_error PASSED astropy/time/tests/test_basic.py::test_remove_astropy_time PASSED astropy/time/tests/test_basic.py::test_isiterable PASSED astropy/time/tests/test_basic.py::test_to_datetime PASSED astropy/time/tests/test_basic.py::test_to_datetime_pytz PASSED astropy/time/tests/test_basic.py::test_cache PASSED astropy/time/tests/test_comparisons.py::TestTimeComparisons::test_miscompares PASSED astropy/time/tests/test_comparisons.py::TestTimeComparisons::test_time PASSED astropy/time/tests/test_comparisons.py::TestTimeComparisons::test_timedelta PASSED astropy/time/tests/test_corrs.py::TestHelioBaryCentric::test_heliocentric PASSED astropy/time/tests/test_corrs.py::TestHelioBaryCentric::test_barycentric PASSED astropy/time/tests/test_corrs.py::TestHelioBaryCentric::test_arrays PASSED astropy/time/tests/test_corrs.py::TestHelioBaryCentric::test_ephemerides SKIPPED astropy/time/tests/test_delta.py::TestTimeDelta::test_sub PASSED astropy/time/tests/test_delta.py::TestTimeDelta::test_add PASSED astropy/time/tests/test_delta.py::TestTimeDelta::test_add_vector PASSED astropy/time/tests/test_delta.py::TestTimeDelta::test_sub_vector PASSED astropy/time/tests/test_delta.py::TestTimeDelta::test_copy_timedelta[values0] PASSED astropy/time/tests/test_delta.py::TestTimeDelta::test_copy_timedelta[values1] PASSED astropy/time/tests/test_delta.py::TestTimeDelta::test_neg_abs PASSED astropy/time/tests/test_delta.py::TestTimeDelta::test_mul_div PASSED astropy/time/tests/test_delta.py::TestTimeDelta::test_keep_properties PASSED astropy/time/tests/test_delta.py::TestTimeDelta::test_set_format PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_delta_scales_definition PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[tai-tai] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[tai-tcb] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[tai-tcg] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[tai-tdb] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[tai-tt] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[tai-ut1] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[tai-utc] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[tcb-tai] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[tcb-tcb] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[tcb-tcg] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[tcb-tdb] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[tcb-tt] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[tcb-ut1] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[tcb-utc] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[tcg-tai] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[tcg-tcb] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[tcg-tcg] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[tcg-tdb] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[tcg-tt] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[tcg-ut1] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[tcg-utc] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[tdb-tai] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[tdb-tcb] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[tdb-tcg] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[tdb-tdb] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[tdb-tt] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[tdb-ut1] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[tdb-utc] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[tt-tai] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[tt-tcb] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[tt-tcg] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[tt-tdb] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[tt-tt] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[tt-ut1] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[tt-utc] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[ut1-tai] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[ut1-tcb] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[ut1-tcg] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[ut1-tdb] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[ut1-tt] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[ut1-ut1] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[ut1-utc] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[utc-tai] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[utc-tcb] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[utc-tcg] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[utc-tdb] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[utc-tt] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[utc-ut1] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_time_minus_time[utc-utc] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_delta_minus_delta PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_delta_scale_is_none[tai-op0] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_delta_scale_is_none[tai-op1] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_delta_scale_is_none[tcb-op2] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_delta_scale_is_none[tcb-op3] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_delta_scale_is_none[tcg-op4] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_delta_scale_is_none[tcg-op5] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_delta_scale_is_none[tdb-op6] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_delta_scale_is_none[tdb-op7] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_delta_scale_is_none[tt-op8] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_delta_scale_is_none[tt-op9] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_delta_scale_is_none[ut1-op10] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_delta_scale_is_none[ut1-op11] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_delta_scale_is_none[utc-op12] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_scales_for_delta_scale_is_none[utc-op13] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_delta_day_is_86400_seconds[tai] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_delta_day_is_86400_seconds[tcb] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_delta_day_is_86400_seconds[tcg] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_delta_day_is_86400_seconds[tdb] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_delta_day_is_86400_seconds[tt] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_delta_day_is_86400_seconds[ut1] PASSED astropy/time/tests/test_delta.py::TestTimeDeltaScales::test_delta_day_is_86400_seconds[utc] PASSED astropy/time/tests/test_guess.py::TestGuess::test_guess1 PASSED astropy/time/tests/test_guess.py::TestGuess::test_guess2 PASSED astropy/time/tests/test_guess.py::TestGuess::test_guess3 PASSED astropy/time/tests/test_guess.py::TestGuess::test_guess4 PASSED astropy/time/tests/test_methods.py::TestManipulation::test_ravel PASSED astropy/time/tests/test_methods.py::TestManipulation::test_flatten PASSED astropy/time/tests/test_methods.py::TestManipulation::test_transpose PASSED astropy/time/tests/test_methods.py::TestManipulation::test_diagonal PASSED astropy/time/tests/test_methods.py::TestManipulation::test_swapaxes PASSED astropy/time/tests/test_methods.py::TestManipulation::test_reshape PASSED astropy/time/tests/test_methods.py::TestManipulation::test_shape_setting PASSED astropy/time/tests/test_methods.py::TestManipulation::test_squeeze PASSED astropy/time/tests/test_methods.py::TestManipulation::test_add_dimension PASSED astropy/time/tests/test_methods.py::TestManipulation::test_take PASSED astropy/time/tests/test_methods.py::TestManipulation::test_broadcast PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_argfuncs[kw0-min] PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_argfuncs[kw1-max] PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_argfuncs[kw2-sort] PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_argfuncs[kw3-min] PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_argfuncs[kw4-max] PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_argfuncs[kw5-sort] PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_argfuncs[kw6-min] PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_argfuncs[kw7-max] PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_argfuncs[kw8-sort] PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_argfuncs[kw9-min] PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_argfuncs[kw10-max] PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_argfuncs[kw11-sort] PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_argfuncs[kw12-min] PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_argfuncs[kw13-max] PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_argfuncs[kw14-sort] PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_funcs[kw0-min] PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_funcs[kw1-max] PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_funcs[kw2-sort] PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_funcs[kw3-min] PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_funcs[kw4-max] PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_funcs[kw5-sort] PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_funcs[kw6-min] PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_funcs[kw7-max] PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_funcs[kw8-sort] PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_funcs[kw9-min] PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_funcs[kw10-max] PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_funcs[kw11-sort] PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_funcs[kw12-min] PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_funcs[kw13-max] PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_funcs[kw14-sort] PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_argmin PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_argmax PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_argsort PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_min PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_max PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_ptp PASSED astropy/time/tests/test_methods.py::TestArithmetic::test_sort PASSED astropy/time/tests/test_methods.py::test_regression PASSED astropy/time/tests/test_pickle.py::TestPickle::test_pickle PASSED astropy/time/tests/test_precision.py::test_addition PASSED astropy/time/tests/test_precision.py::test_mult_div PASSED astropy/time/tests/test_precision.py::test_init_variations PASSED astropy/time/tests/test_precision.py::test_precision_exceeds_64bit PASSED astropy/time/tests/test_precision.py::test_through_scale_change PASSED astropy/time/tests/test_precision.py::test_iso_init PASSED astropy/time/tests/test_precision.py::test_jd1_is_mult_of_half_or_one PASSED astropy/time/tests/test_precision.py::test_precision_neg xfail astropy/time/tests/test_precision.py::test_precision_epoch PASSED astropy/time/tests/test_precision.py::test_leap_seconds_rounded_correctly PASSED astropy/time/tests/test_quantity_interaction.py::TestTimeQuantity::test_valid_quantity_input PASSED astropy/time/tests/test_quantity_interaction.py::TestTimeQuantity::test_invalid_quantity_input PASSED astropy/time/tests/test_quantity_interaction.py::TestTimeQuantity::test_column_with_and_without_units PASSED astropy/time/tests/test_quantity_interaction.py::TestTimeQuantity::test_no_quantity_input_allowed PASSED astropy/time/tests/test_quantity_interaction.py::TestTimeQuantity::test_valid_quantity_operations PASSED astropy/time/tests/test_quantity_interaction.py::TestTimeQuantity::test_invalid_quantity_operations PASSED astropy/time/tests/test_quantity_interaction.py::TestTimeDeltaQuantity::test_valid_quantity_input PASSED astropy/time/tests/test_quantity_interaction.py::TestTimeDeltaQuantity::test_invalid_quantity_input PASSED astropy/time/tests/test_quantity_interaction.py::TestTimeDeltaQuantity::test_quantity_output PASSED astropy/time/tests/test_quantity_interaction.py::TestTimeDeltaQuantity::test_valid_quantity_operations1 PASSED astropy/time/tests/test_quantity_interaction.py::TestTimeDeltaQuantity::test_valid_quantity_operations2 PASSED astropy/time/tests/test_quantity_interaction.py::TestTimeDeltaQuantity::test_invalid_quantity_operations PASSED astropy/time/tests/test_quantity_interaction.py::TestTimeDeltaQuantity::test_invalid_quantity_broadcast PASSED astropy/time/tests/test_quantity_interaction.py::TestDeltaAttributes::test_delta_ut1_utc PASSED astropy/time/tests/test_quantity_interaction.py::TestDeltaAttributes::test_delta_tdb_tt PASSED astropy/time/tests/test_sidereal.py::test_doc_string_contains_models PASSED astropy/time/tests/test_sidereal.py::TestERFATestCases::test_iau_models[erfa_test_input0] PASSED astropy/time/tests/test_sidereal.py::TestERFATestCases::test_iau_models[erfa_test_input1] PASSED astropy/time/tests/test_sidereal.py::TestERFATestCases::test_iau_models[erfa_test_input2] PASSED astropy/time/tests/test_sidereal.py::TestERFATestCases::test_iau_models[erfa_test_input3] PASSED astropy/time/tests/test_sidereal.py::TestERFATestCases::test_iau_models[erfa_test_input4] PASSED astropy/time/tests/test_sidereal.py::TestERFATestCases::test_iau_models[erfa_test_input5] PASSED astropy/time/tests/test_sidereal.py::TestERFATestCases::test_iau_models[erfa_test_input6] PASSED astropy/time/tests/test_sidereal.py::TestST::test_gmst PASSED astropy/time/tests/test_sidereal.py::TestST::test_gst PASSED astropy/time/tests/test_sidereal.py::TestST::test_gmst_gst_close PASSED astropy/time/tests/test_sidereal.py::TestST::test_gmst_independent_of_self_location PASSED astropy/time/tests/test_sidereal.py::TestST::test_lst[mean] PASSED astropy/time/tests/test_sidereal.py::TestST::test_lst[apparent] PASSED astropy/time/tests/test_sidereal.py::TestST::test_lst_needs_location PASSED astropy/time/tests/test_sidereal.py::TestModelInterpretation::test_model_uniqueness[mean] PASSED astropy/time/tests/test_sidereal.py::TestModelInterpretation::test_model_uniqueness[apparent] PASSED astropy/time/tests/test_sidereal.py::TestModelInterpretation::test_wrong_models_raise_exceptions[mean-apparent] PASSED astropy/time/tests/test_sidereal.py::TestModelInterpretation::test_wrong_models_raise_exceptions[apparent-mean] PASSED astropy/time/tests/test_ut1.py::TestTimeUT1::test_utc_to_ut1 PASSED astropy/time/tests/test_ut1.py::TestTimeUT1::test_ut1_to_utc PASSED astropy/time/tests/test_ut1.py::TestTimeUT1::test_delta_ut1_utc PASSED astropy/time/tests/test_ut1.py::TestTimeUT1_IERSA::test_ut1_iers_A SKIPPED astropy/time/tests/test_ut1.py::TestTimeUT1_IERS_Auto::test_ut1_iers_auto SKIPPED astropy/units/cds.py::astropy.units.cds PASSED astropy/units/core.py::astropy.units.core.UnitBase.physical_type PASSED astropy/units/core.py::astropy.units.core.add_enabled_units PASSED astropy/units/core.py::astropy.units.core.set_enabled_equivalencies PASSED astropy/units/core.py::astropy.units.core.set_enabled_units PASSED astropy/units/deprecated.py::astropy.units.deprecated PASSED astropy/units/equivalencies.py::astropy.units.equivalencies.brightness_temperature PASSED astropy/units/equivalencies.py::astropy.units.equivalencies.doppler_optical PASSED astropy/units/equivalencies.py::astropy.units.equivalencies.doppler_radio PASSED astropy/units/equivalencies.py::astropy.units.equivalencies.doppler_relativistic PASSED astropy/units/imperial.py::astropy.units.imperial PASSED astropy/units/format/console.py::astropy.units.format.console.Console PASSED astropy/units/format/unicode_format.py::astropy.units.format.unicode_format.Unicode PASSED astropy/units/function/logarithmic.py::astropy.units.function.logarithmic.LogQuantity PASSED astropy/units/function/magnitude_zero_points.py::astropy.units.function.magnitude_zero_points PASSED astropy/units/tests/test_deprecated.py::test_emu PASSED astropy/units/tests/test_deprecated.py::test_required_by_vounit PASSED astropy/units/tests/test_equivalencies.py::test_dimensionless_angles PASSED astropy/units/tests/test_equivalencies.py::test_logarithmic[log_unit0] PASSED astropy/units/tests/test_equivalencies.py::test_logarithmic[log_unit1] PASSED astropy/units/tests/test_equivalencies.py::test_logarithmic[log_unit2] PASSED astropy/units/tests/test_equivalencies.py::test_doppler_frequency_0[function0] PASSED astropy/units/tests/test_equivalencies.py::test_doppler_frequency_0[function1] PASSED astropy/units/tests/test_equivalencies.py::test_doppler_frequency_0[function2] PASSED astropy/units/tests/test_equivalencies.py::test_doppler_wavelength_0[function0] PASSED astropy/units/tests/test_equivalencies.py::test_doppler_wavelength_0[function1] PASSED astropy/units/tests/test_equivalencies.py::test_doppler_wavelength_0[function2] PASSED astropy/units/tests/test_equivalencies.py::test_doppler_energy_0[function0] PASSED astropy/units/tests/test_equivalencies.py::test_doppler_energy_0[function1] PASSED astropy/units/tests/test_equivalencies.py::test_doppler_energy_0[function2] PASSED astropy/units/tests/test_equivalencies.py::test_doppler_frequency_circle[function0] PASSED astropy/units/tests/test_equivalencies.py::test_doppler_frequency_circle[function1] PASSED astropy/units/tests/test_equivalencies.py::test_doppler_frequency_circle[function2] PASSED astropy/units/tests/test_equivalencies.py::test_doppler_wavelength_circle[function0] PASSED astropy/units/tests/test_equivalencies.py::test_doppler_wavelength_circle[function1] PASSED astropy/units/tests/test_equivalencies.py::test_doppler_wavelength_circle[function2] PASSED astropy/units/tests/test_equivalencies.py::test_doppler_energy_circle[function0] PASSED astropy/units/tests/test_equivalencies.py::test_doppler_energy_circle[function1] PASSED astropy/units/tests/test_equivalencies.py::test_doppler_energy_circle[function2] PASSED astropy/units/tests/test_equivalencies.py::test_30kms[function0-999.899940784289] PASSED astropy/units/tests/test_equivalencies.py::test_30kms[function1-999.8999307714406] PASSED astropy/units/tests/test_equivalencies.py::test_30kms[function2-999.8999357778647] PASSED astropy/units/tests/test_equivalencies.py::test_bad_restfreqs[function0-5] PASSED astropy/units/tests/test_equivalencies.py::test_bad_restfreqs[function1-value1] PASSED astropy/units/tests/test_equivalencies.py::test_bad_restfreqs[function2-None] PASSED astropy/units/tests/test_equivalencies.py::test_massenergy PASSED astropy/units/tests/test_equivalencies.py::test_is_equivalent PASSED astropy/units/tests/test_equivalencies.py::test_parallax PASSED astropy/units/tests/test_equivalencies.py::test_parallax2 PASSED astropy/units/tests/test_equivalencies.py::test_spectral PASSED astropy/units/tests/test_equivalencies.py::test_spectral2 PASSED astropy/units/tests/test_equivalencies.py::test_spectral3 PASSED astropy/units/tests/test_equivalencies.py::test_spectral4[in_val0-in_unit0] PASSED astropy/units/tests/test_equivalencies.py::test_spectral4[in_val1-in_unit1] PASSED astropy/units/tests/test_equivalencies.py::test_spectral4[in_val2-in_unit2] PASSED astropy/units/tests/test_equivalencies.py::test_spectral4[in_val3-in_unit3] PASSED astropy/units/tests/test_equivalencies.py::test_spectraldensity2 PASSED astropy/units/tests/test_equivalencies.py::test_spectraldensity3 PASSED astropy/units/tests/test_equivalencies.py::test_spectraldensity4 PASSED astropy/units/tests/test_equivalencies.py::test_spectraldensity5 PASSED astropy/units/tests/test_equivalencies.py::test_equivalent_units PASSED astropy/units/tests/test_equivalencies.py::test_equivalent_units2 PASSED astropy/units/tests/test_equivalencies.py::test_trivial_equivalency PASSED astropy/units/tests/test_equivalencies.py::test_invalid_equivalency PASSED astropy/units/tests/test_equivalencies.py::test_irrelevant_equivalency PASSED astropy/units/tests/test_equivalencies.py::test_brightness_temperature PASSED astropy/units/tests/test_equivalencies.py::test_equivalency_context PASSED astropy/units/tests/test_equivalencies.py::test_equivalency_context_manager PASSED astropy/units/tests/test_equivalencies.py::test_temperature PASSED astropy/units/tests/test_equivalencies.py::test_temperature_energy PASSED astropy/units/tests/test_equivalencies.py::test_molar_mass_amu PASSED astropy/units/tests/test_equivalencies.py::test_compose_equivalencies PASSED astropy/units/tests/test_equivalencies.py::test_pixel_scale PASSED astropy/units/tests/test_equivalencies.py::test_plate_scale PASSED astropy/units/tests/test_format.py::test_unit_grammar[strings0-unit0] PASSED astropy/units/tests/test_format.py::test_unit_grammar[strings1-unit1] PASSED astropy/units/tests/test_format.py::test_unit_grammar[strings2-unit2] PASSED astropy/units/tests/test_format.py::test_unit_grammar[strings3-unit3] PASSED astropy/units/tests/test_format.py::test_unit_grammar[strings4-unit4] PASSED astropy/units/tests/test_format.py::test_unit_grammar[strings5-unit5] PASSED astropy/units/tests/test_format.py::test_unit_grammar[strings6-unit6] PASSED astropy/units/tests/test_format.py::test_unit_grammar[strings7-unit7] PASSED astropy/units/tests/test_format.py::test_unit_grammar[strings8-unit8] PASSED astropy/units/tests/test_format.py::test_unit_grammar[strings9-unit9] PASSED astropy/units/tests/test_format.py::test_unit_grammar[strings10-unit10] PASSED astropy/units/tests/test_format.py::test_unit_grammar[strings11-unit11] PASSED astropy/units/tests/test_format.py::test_unit_grammar[strings12-unit12] PASSED astropy/units/tests/test_format.py::test_unit_grammar_fail[sin( /pixel /s)] PASSED astropy/units/tests/test_format.py::test_unit_grammar_fail[mag(mag)] PASSED astropy/units/tests/test_format.py::test_unit_grammar_fail[dB(dB(mW))] PASSED astropy/units/tests/test_format.py::test_unit_grammar_fail[dex()] PASSED astropy/units/tests/test_format.py::test_cds_grammar[strings0-unit0] PASSED astropy/units/tests/test_format.py::test_cds_grammar[strings1-unit1] PASSED astropy/units/tests/test_format.py::test_cds_grammar[strings2-unit2] PASSED astropy/units/tests/test_format.py::test_cds_grammar[strings3-unit3] PASSED astropy/units/tests/test_format.py::test_cds_grammar[strings4-unit4] PASSED astropy/units/tests/test_format.py::test_cds_grammar[strings5-unit5] PASSED astropy/units/tests/test_format.py::test_cds_grammar[strings6-unit6] PASSED astropy/units/tests/test_format.py::test_cds_grammar[strings7-unit7] PASSED astropy/units/tests/test_format.py::test_cds_grammar[strings8-unit8] PASSED astropy/units/tests/test_format.py::test_cds_grammar[strings9-unit9] PASSED astropy/units/tests/test_format.py::test_cds_grammar[strings10-unit10] PASSED astropy/units/tests/test_format.py::test_cds_grammar[strings11-unit11] PASSED astropy/units/tests/test_format.py::test_cds_grammar[strings12-unit12] PASSED astropy/units/tests/test_format.py::test_cds_grammar[strings13-unit13] PASSED astropy/units/tests/test_format.py::test_cds_grammar[strings14-unit14] PASSED astropy/units/tests/test_format.py::test_cds_grammar[strings15-unit15] PASSED astropy/units/tests/test_format.py::test_cds_grammar[strings16-unit16] PASSED astropy/units/tests/test_format.py::test_cds_grammar[strings17-unit17] PASSED astropy/units/tests/test_format.py::test_cds_grammar[strings18-unit18] PASSED astropy/units/tests/test_format.py::test_cds_grammar[strings19-unit19] PASSED astropy/units/tests/test_format.py::test_cds_grammar[strings20-unit20] PASSED astropy/units/tests/test_format.py::test_cds_grammar[strings21-unit21] PASSED astropy/units/tests/test_format.py::test_cds_grammar[strings22-unit22] PASSED astropy/units/tests/test_format.py::test_cds_grammar[strings23-unit23] PASSED astropy/units/tests/test_format.py::test_cds_grammar[strings24-unit24] PASSED astropy/units/tests/test_format.py::test_cds_grammar[strings25-unit25] PASSED astropy/units/tests/test_format.py::test_cds_grammar[strings26-unit26] PASSED astropy/units/tests/test_format.py::test_cds_grammar[strings27-unit27] PASSED astropy/units/tests/test_format.py::test_cds_grammar[strings28-unit28] PASSED astropy/units/tests/test_format.py::test_cds_grammar[strings29-unit29] PASSED astropy/units/tests/test_format.py::test_cds_grammar[strings30-unit30] PASSED astropy/units/tests/test_format.py::test_cds_grammar_fail[0.1 nm] PASSED astropy/units/tests/test_format.py::test_cds_grammar_fail[solMass(3/2)] PASSED astropy/units/tests/test_format.py::test_cds_grammar_fail[km / s] PASSED astropy/units/tests/test_format.py::test_cds_grammar_fail[km s-1] PASSED astropy/units/tests/test_format.py::test_cds_grammar_fail[pix0.1nm] PASSED astropy/units/tests/test_format.py::test_cds_grammar_fail[pix/(0.1nm)] PASSED astropy/units/tests/test_format.py::test_cds_grammar_fail[km*s] PASSED astropy/units/tests/test_format.py::test_cds_grammar_fail[km**2] PASSED astropy/units/tests/test_format.py::test_cds_grammar_fail[5x8+3m] PASSED astropy/units/tests/test_format.py::test_cds_grammar_fail[0.1---] PASSED astropy/units/tests/test_format.py::test_cds_grammar_fail[---m] PASSED astropy/units/tests/test_format.py::test_cds_grammar_fail[m---] PASSED astropy/units/tests/test_format.py::test_cds_grammar_fail[mag(s-1)] PASSED astropy/units/tests/test_format.py::test_cds_grammar_fail[dB(mW)] PASSED astropy/units/tests/test_format.py::test_cds_grammar_fail[dex(cm s-2)] PASSED astropy/units/tests/test_format.py::test_ogip_grammar[strings0-unit0] PASSED astropy/units/tests/test_format.py::test_ogip_grammar[strings1-unit1] PASSED astropy/units/tests/test_format.py::test_ogip_grammar[strings2-unit2] PASSED astropy/units/tests/test_format.py::test_ogip_grammar[strings3-unit3] PASSED astropy/units/tests/test_format.py::test_ogip_grammar[strings4-unit4] PASSED astropy/units/tests/test_format.py::test_ogip_grammar[strings5-unit5] PASSED astropy/units/tests/test_format.py::test_ogip_grammar[strings6-unit6] PASSED astropy/units/tests/test_format.py::test_ogip_grammar[strings7-unit7] PASSED astropy/units/tests/test_format.py::test_ogip_grammar[strings8-unit8] PASSED astropy/units/tests/test_format.py::test_ogip_grammar_fail[log(photon /m**2 /s /Hz)] PASSED astropy/units/tests/test_format.py::test_ogip_grammar_fail[sin( /pixel /s)] PASSED astropy/units/tests/test_format.py::test_ogip_grammar_fail[log(photon /cm**2 /s /Hz) /(sin( /pixel /s))] PASSED astropy/units/tests/test_format.py::test_ogip_grammar_fail[log(photon /cm**2 /s /Hz) (sin( /pixel /s))**(-1)] PASSED astropy/units/tests/test_format.py::test_ogip_grammar_fail[dB(mW)] PASSED astropy/units/tests/test_format.py::test_ogip_grammar_fail[dex(cm/s**2)] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit0] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit1] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit2] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit3] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit4] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit5] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit6] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit7] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit8] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit9] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit10] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit11] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit12] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit13] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit14] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit15] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit16] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit17] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit18] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit19] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit20] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit21] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit22] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit23] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit24] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit25] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit26] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit27] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit28] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit29] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit30] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit31] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit32] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit33] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit34] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit35] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit36] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit37] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit38] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit39] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit40] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit41] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit42] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit43] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit44] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit45] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit46] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit47] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit48] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit49] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit50] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit51] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit52] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit53] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit54] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit55] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit56] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit57] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit58] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit59] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit60] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit61] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit62] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit63] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit64] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit65] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit66] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit67] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit68] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit69] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit70] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit71] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit72] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit73] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit74] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit75] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit76] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit77] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit78] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit79] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit80] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit81] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit82] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit83] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit84] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit85] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit86] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit87] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit88] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit89] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit90] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit91] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit92] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit93] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit94] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit95] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit96] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit97] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit98] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit99] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit100] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit101] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit102] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit103] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit104] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit105] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit106] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit107] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit108] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit109] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit110] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit111] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit112] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit113] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit114] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit115] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit116] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit117] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit118] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit119] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit120] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit121] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit122] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit123] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit124] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit125] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit126] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit127] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit128] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit129] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit130] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit131] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit132] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit133] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit134] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit135] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit136] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit137] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit138] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit139] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit140] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit141] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit142] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit143] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit144] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit145] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit146] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit147] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit148] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit149] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit150] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit151] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit152] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit153] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit154] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit155] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit156] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit157] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit158] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit159] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit160] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit161] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit162] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit163] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit164] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit165] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit166] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit167] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit168] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit169] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit170] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit171] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit172] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit173] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit174] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit175] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit176] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit177] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit178] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit179] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit180] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit181] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit182] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit183] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit184] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit185] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit186] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit187] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit188] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit189] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit190] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit191] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit192] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit193] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit194] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit195] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit196] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit197] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit198] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit199] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit200] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit201] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit202] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit203] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit204] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit205] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit206] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit207] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit208] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit209] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit210] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit211] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit212] PASSED astropy/units/tests/test_format.py::test_roundtrip[unit213] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit0] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit1] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit2] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit3] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit4] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit5] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit6] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit7] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit8] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit9] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit10] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit11] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit12] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit13] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit14] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit15] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit16] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit17] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit18] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit19] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit20] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit21] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit22] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit23] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit24] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit25] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit26] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit27] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit28] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit29] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit30] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit31] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit32] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit33] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit34] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit35] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit36] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit37] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit38] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit39] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit40] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit41] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit42] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit43] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit44] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit45] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit46] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit47] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit48] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit49] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit50] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit51] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit52] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit53] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit54] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit55] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit56] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit57] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit58] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit59] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit60] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit61] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit62] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit63] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit64] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit65] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit66] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit67] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit68] PASSED astropy/units/tests/test_format.py::test_roundtrip_vo_unit[unit69] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit0] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit1] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit2] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit3] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit4] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit5] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit6] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit7] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit8] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit9] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit10] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit11] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit12] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit13] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit14] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit15] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit16] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit17] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit18] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit19] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit20] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit21] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit22] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit23] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit24] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit25] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit26] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit27] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit28] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit29] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit30] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit31] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit32] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit33] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit34] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit35] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit36] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit37] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit38] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit39] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit40] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit41] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit42] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit43] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit44] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit45] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit46] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit47] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit48] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit49] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit50] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit51] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit52] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit53] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit54] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit55] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit56] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit57] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit58] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit59] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit60] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit61] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit62] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit63] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit64] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit65] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit66] PASSED astropy/units/tests/test_format.py::test_roundtrip_fits[unit67] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit0] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit1] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit2] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit3] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit4] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit5] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit6] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit7] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit8] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit9] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit10] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit11] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit12] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit13] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit14] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit15] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit16] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit17] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit18] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit19] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit20] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit21] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit22] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit23] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit24] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit25] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit26] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit27] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit28] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit29] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit30] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit31] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit32] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit33] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit34] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit35] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit36] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit37] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit38] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit39] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit40] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit41] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit42] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit43] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit44] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit45] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit46] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit47] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit48] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit49] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit50] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit51] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit52] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit53] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit54] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit55] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit56] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit57] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit58] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit59] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit60] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit61] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit62] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit63] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit64] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit65] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit66] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit67] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit68] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit69] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit70] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit71] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit72] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit73] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit74] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit75] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit76] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit77] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit78] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit79] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit80] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit81] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit82] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit83] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit84] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit85] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit86] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit87] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit88] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit89] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit90] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit91] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit92] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit93] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit94] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit95] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit96] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit97] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit98] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit99] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit100] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit101] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit102] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit103] PASSED astropy/units/tests/test_format.py::test_roundtrip_cds[unit104] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit0] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit1] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit2] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit3] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit4] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit5] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit6] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit7] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit8] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit9] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit10] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit11] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit12] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit13] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit14] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit15] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit16] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit17] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit18] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit19] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit20] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit21] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit22] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit23] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit24] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit25] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit26] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit27] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit28] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit29] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit30] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit31] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit32] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit33] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit34] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit35] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit36] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit37] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit38] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit39] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit40] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit41] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit42] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit43] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit44] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit45] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit46] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit47] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit48] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit49] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit50] PASSED astropy/units/tests/test_format.py::test_roundtrip_ogip[unit51] PASSED astropy/units/tests/test_format.py::test_fits_units_available PASSED astropy/units/tests/test_format.py::test_vo_units_available PASSED astropy/units/tests/test_format.py::test_cds_units_available PASSED astropy/units/tests/test_format.py::test_cds_non_ascii_unit PASSED astropy/units/tests/test_format.py::test_latex PASSED astropy/units/tests/test_format.py::test_new_style_latex PASSED astropy/units/tests/test_format.py::test_latex_scale PASSED astropy/units/tests/test_format.py::test_latex_inline_scale PASSED astropy/units/tests/test_format.py::test_format_styles[generic-erg / (cm2 s)] PASSED astropy/units/tests/test_format.py::test_format_styles[s-erg / (cm2 s)] PASSED astropy/units/tests/test_format.py::test_format_styles[console- erg \n ------\n s cm^2] PASSED astropy/units/tests/test_format.py::test_format_styles[latex-$\\mathrm{\\frac{erg}{s\\,cm^{2}}}$] PASSED astropy/units/tests/test_format.py::test_format_styles[latex_inline-$\\mathrm{erg\\,s^{-1}\\,cm^{-2}}$] PASSED astropy/units/tests/test_format.py::test_format_styles[>20s- erg / (cm2 s)] PASSED astropy/units/tests/test_format.py::test_flatten_to_known PASSED astropy/units/tests/test_format.py::test_flatten_impossible PASSED astropy/units/tests/test_format.py::test_console_out PASSED astropy/units/tests/test_format.py::test_flexible_float PASSED astropy/units/tests/test_format.py::test_fraction_repr PASSED astropy/units/tests/test_format.py::test_scale_effectively_unity PASSED astropy/units/tests/test_format.py::test_percent PASSED astropy/units/tests/test_format.py::test_scaled_dimensionless PASSED astropy/units/tests/test_format.py::test_deprecated_did_you_mean_units PASSED astropy/units/tests/test_format.py::test_fits_function[mag(ct/s)] PASSED astropy/units/tests/test_format.py::test_fits_function[dB(mW)] PASSED astropy/units/tests/test_format.py::test_fits_function[dex(cm s**-2)] PASSED astropy/units/tests/test_format.py::test_vounit_function[mag(ct/s)] PASSED astropy/units/tests/test_format.py::test_vounit_function[dB(mW)] PASSED astropy/units/tests/test_format.py::test_vounit_function[dex(cm s**-2)] PASSED astropy/units/tests/test_format.py::test_vounit_binary_prefix PASSED astropy/units/tests/test_format.py::test_vounit_unknown PASSED astropy/units/tests/test_format.py::test_vounit_details PASSED astropy/units/tests/test_format.py::test_vounit_custom PASSED astropy/units/tests/test_format.py::test_vounit_implicit_custom PASSED astropy/units/tests/test_format.py::test_fits_scale_factor PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitCreation::test_logarithmic_units PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitCreation::test_callable_units[lu_unit0-DexUnit] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitCreation::test_callable_units[lu_unit1-MagUnit] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitCreation::test_callable_units[lu_unit2-DecibelUnit] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitCreation::test_equality_to_normal_unit_for_dimensionless[lu_unit0] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitCreation::test_equality_to_normal_unit_for_dimensionless[lu_unit1] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitCreation::test_equality_to_normal_unit_for_dimensionless[lu_unit2] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitCreation::test_call_units[lu_unit0-physical_unit0] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitCreation::test_call_units[lu_unit1-physical_unit1] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitCreation::test_call_units[lu_unit2-physical_unit2] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitCreation::test_call_units[lu_unit3-physical_unit3] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitCreation::test_call_units[lu_unit4-physical_unit4] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitCreation::test_call_units[lu_unit5-physical_unit5] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitCreation::test_call_units[lu_unit6-physical_unit6] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitCreation::test_call_units[lu_unit7-physical_unit7] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitCreation::test_call_units[lu_unit8-physical_unit8] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitCreation::test_call_units[lu_unit9-physical_unit9] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitCreation::test_call_units[lu_unit10-physical_unit10] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitCreation::test_call_units[lu_unit11-physical_unit11] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitCreation::test_call_invalid_unit PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitCreation::test_subclass_creation[DexUnit-physical_unit0] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitCreation::test_subclass_creation[DexUnit-physical_unit1] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitCreation::test_subclass_creation[DexUnit-physical_unit2] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitCreation::test_subclass_creation[DexUnit-physical_unit3] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitCreation::test_subclass_creation[MagUnit-physical_unit4] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitCreation::test_subclass_creation[MagUnit-physical_unit5] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitCreation::test_subclass_creation[MagUnit-physical_unit6] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitCreation::test_subclass_creation[MagUnit-physical_unit7] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitCreation::test_subclass_creation[DecibelUnit-physical_unit8] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitCreation::test_subclass_creation[DecibelUnit-physical_unit9] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitCreation::test_subclass_creation[DecibelUnit-physical_unit10] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitCreation::test_subclass_creation[DecibelUnit-physical_unit11] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitCreation::test_subclass_creation[LogUnit-physical_unit12] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitCreation::test_subclass_creation[LogUnit-physical_unit13] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitCreation::test_subclass_creation[LogUnit-physical_unit14] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitCreation::test_subclass_creation[LogUnit-physical_unit15] PASSED astropy/units/tests/test_logarithmic.py::test_predefined_magnitudes PASSED astropy/units/tests/test_logarithmic.py::test_predefined_reinitialisation PASSED astropy/units/tests/test_logarithmic.py::test_predefined_string_roundtrip PASSED astropy/units/tests/test_logarithmic.py::test_inequality PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitStrings::test_str PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_physical_unit_conversion[lu_unit0-physical_unit0] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_physical_unit_conversion[lu_unit1-physical_unit1] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_physical_unit_conversion[lu_unit2-physical_unit2] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_physical_unit_conversion[lu_unit3-physical_unit3] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_physical_unit_conversion[lu_unit4-physical_unit4] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_physical_unit_conversion[lu_unit5-physical_unit5] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_physical_unit_conversion[lu_unit6-physical_unit6] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_physical_unit_conversion[lu_unit7-physical_unit7] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_physical_unit_conversion[lu_unit8-physical_unit8] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_physical_unit_conversion[lu_unit9-physical_unit9] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_physical_unit_conversion[lu_unit10-physical_unit10] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_physical_unit_conversion[lu_unit11-physical_unit11] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_container_unit_conversion[lu_unit0] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_container_unit_conversion[lu_unit1] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_container_unit_conversion[lu_unit2] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_subclass_conversion[flu_unit0-tlu_unit0-physical_unit0] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_subclass_conversion[flu_unit1-tlu_unit1-physical_unit1] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_subclass_conversion[flu_unit2-tlu_unit2-physical_unit2] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_subclass_conversion[flu_unit3-tlu_unit3-physical_unit3] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_subclass_conversion[flu_unit4-tlu_unit4-physical_unit4] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_subclass_conversion[flu_unit5-tlu_unit5-physical_unit5] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_subclass_conversion[flu_unit6-tlu_unit6-physical_unit6] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_subclass_conversion[flu_unit7-tlu_unit7-physical_unit7] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_subclass_conversion[flu_unit8-tlu_unit8-physical_unit8] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_subclass_conversion[flu_unit9-tlu_unit9-physical_unit9] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_subclass_conversion[flu_unit10-tlu_unit10-physical_unit10] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_subclass_conversion[flu_unit11-tlu_unit11-physical_unit11] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_subclass_conversion[flu_unit12-tlu_unit12-physical_unit12] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_subclass_conversion[flu_unit13-tlu_unit13-physical_unit13] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_subclass_conversion[flu_unit14-tlu_unit14-physical_unit14] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_subclass_conversion[flu_unit15-tlu_unit15-physical_unit15] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_subclass_conversion[flu_unit16-tlu_unit16-physical_unit16] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_subclass_conversion[flu_unit17-tlu_unit17-physical_unit17] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_subclass_conversion[flu_unit18-tlu_unit18-physical_unit18] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_subclass_conversion[flu_unit19-tlu_unit19-physical_unit19] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_subclass_conversion[flu_unit20-tlu_unit20-physical_unit20] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_subclass_conversion[flu_unit21-tlu_unit21-physical_unit21] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_subclass_conversion[flu_unit22-tlu_unit22-physical_unit22] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_subclass_conversion[flu_unit23-tlu_unit23-physical_unit23] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_subclass_conversion[flu_unit24-tlu_unit24-physical_unit24] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_subclass_conversion[flu_unit25-tlu_unit25-physical_unit25] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_subclass_conversion[flu_unit26-tlu_unit26-physical_unit26] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_subclass_conversion[flu_unit27-tlu_unit27-physical_unit27] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_subclass_conversion[flu_unit28-tlu_unit28-physical_unit28] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_subclass_conversion[flu_unit29-tlu_unit29-physical_unit29] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_subclass_conversion[flu_unit30-tlu_unit30-physical_unit30] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_subclass_conversion[flu_unit31-tlu_unit31-physical_unit31] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_subclass_conversion[flu_unit32-tlu_unit32-physical_unit32] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_subclass_conversion[flu_unit33-tlu_unit33-physical_unit33] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_subclass_conversion[flu_unit34-tlu_unit34-physical_unit34] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_subclass_conversion[flu_unit35-tlu_unit35-physical_unit35] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_unit_decomposition PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitConversion::test_unit_multiple_possible_equivalencies PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitArithmetic::test_multiplication_division PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitArithmetic::test_raise_to_power[2] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitArithmetic::test_raise_to_power[0.5] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitArithmetic::test_raise_to_power[1] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitArithmetic::test_raise_to_power[0] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitArithmetic::test_addition_subtraction_to_normal_units_fails[other0] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitArithmetic::test_addition_subtraction_to_normal_units_fails[other1] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitArithmetic::test_addition_subtraction_to_normal_units_fails[other2] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitArithmetic::test_addition_subtraction_to_normal_units_fails[other3] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitArithmetic::test_addition_subtraction_to_non_units_fails PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitArithmetic::test_addition_subtraction[other0] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitArithmetic::test_addition_subtraction[other1] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitArithmetic::test_addition_subtraction[other2] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitArithmetic::test_addition_subtraction[other3] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitArithmetic::test_addition_subtraction[other4] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitArithmetic::test_addition_subtraction[other5] PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitArithmetic::test_complicated_addition_subtraction PASSED astropy/units/tests/test_logarithmic.py::TestLogUnitArithmetic::test_neg_pos PASSED astropy/units/tests/test_logarithmic.py::test_pickle PASSED astropy/units/tests/test_logarithmic.py::test_hashable PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityCreation::test_logarithmic_quantities[Dex-DexUnit] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityCreation::test_logarithmic_quantities[Magnitude-MagUnit] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityCreation::test_logarithmic_quantities[Decibel-DecibelUnit] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityCreation::test_logarithmic_quantities[LogQuantity-LogUnit] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityCreation::test_subclass_creation[Dex-physical_unit0] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityCreation::test_subclass_creation[Dex-physical_unit1] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityCreation::test_subclass_creation[Dex-physical_unit2] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityCreation::test_subclass_creation[Dex-physical_unit3] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityCreation::test_subclass_creation[Magnitude-physical_unit4] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityCreation::test_subclass_creation[Magnitude-physical_unit5] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityCreation::test_subclass_creation[Magnitude-physical_unit6] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityCreation::test_subclass_creation[Magnitude-physical_unit7] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityCreation::test_subclass_creation[Decibel-physical_unit8] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityCreation::test_subclass_creation[Decibel-physical_unit9] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityCreation::test_subclass_creation[Decibel-physical_unit10] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityCreation::test_subclass_creation[Decibel-physical_unit11] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityCreation::test_different_units[unit0] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityCreation::test_different_units[unit1] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityCreation::test_different_units[unit2] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityCreation::test_different_units[unit3] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityCreation::test_different_units[unit4] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityCreation::test_different_units[unit5] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityCreation::test_different_units[unit6] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityCreation::test_different_units[unit7] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityCreation::test_function_values[value0-None] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityCreation::test_function_values[value1-None] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityCreation::test_function_values[value2-unit2] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityCreation::test_function_values[value3-unit3] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityCreation::test_indirect_creation[unit0] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityCreation::test_indirect_creation[unit1] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityCreation::test_indirect_creation[unit2] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityCreation::test_indirect_creation[unit3] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityCreation::test_indirect_creation[unit4] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityCreation::test_indirect_creation[unit5] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityCreation::test_from_view PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityCreation::test_using_quantity_class PASSED astropy/units/tests/test_logarithmic.py::test_conversion_to_and_from_physical_quantities PASSED astropy/units/tests/test_logarithmic.py::test_quantity_decomposition PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityViews::test_value_view PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityViews::test_function_view PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityViews::test_quantity_view PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantitySlicing::test_item_get_and_set PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantitySlicing::test_slice_get_and_set PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityArithmetic::test_multiplication_division PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityArithmetic::test_raise_to_power[2] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityArithmetic::test_raise_to_power[0.5] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityArithmetic::test_raise_to_power[1] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityArithmetic::test_raise_to_power[0] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityArithmetic::test_error_on_lq_as_power PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityArithmetic::test_addition_subtraction_to_normal_units_fails[other0] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityArithmetic::test_addition_subtraction_to_normal_units_fails[other1] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityArithmetic::test_addition_subtraction_to_normal_units_fails[other2] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityArithmetic::test_addition_subtraction_to_normal_units_fails[other3] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityArithmetic::test_addition_subtraction[other0] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityArithmetic::test_addition_subtraction[other1] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityArithmetic::test_addition_subtraction[other2] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityArithmetic::test_addition_subtraction[other3] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityArithmetic::test_addition_subtraction[other4] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityArithmetic::test_addition_subtraction[other5] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityArithmetic::test_inplace_addition_subtraction_unit_checks[other0] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityArithmetic::test_inplace_addition_subtraction_unit_checks[other1] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityArithmetic::test_inplace_addition_subtraction_unit_checks[other2] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityArithmetic::test_inplace_addition_subtraction_unit_checks[other3] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityArithmetic::test_inplace_addition_subtraction[other0] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityArithmetic::test_inplace_addition_subtraction[other1] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityArithmetic::test_inplace_addition_subtraction[other2] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityArithmetic::test_inplace_addition_subtraction[other3] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityArithmetic::test_inplace_addition_subtraction[other4] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityArithmetic::test_inplace_addition_subtraction[other5] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityArithmetic::test_complicated_addition_subtraction PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityComparisons::test_comparison_to_non_quantities_fails PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityComparisons::test_comparison PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityMethods::test_always_ok[mean] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityMethods::test_always_ok[min] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityMethods::test_always_ok[max] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityMethods::test_always_ok[round] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityMethods::test_always_ok[trace] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityMethods::test_always_ok[std] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityMethods::test_always_ok[var] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityMethods::test_always_ok[ptp] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityMethods::test_always_ok[diff] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityMethods::test_always_ok[ediff1d] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityMethods::test_clip PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityMethods::test_only_ok_if_dimensionless[sum] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityMethods::test_only_ok_if_dimensionless[cumsum] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityMethods::test_only_ok_if_dimensionless[nansum] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityMethods::test_dot PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityMethods::test_never_ok[prod] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityMethods::test_never_ok[cumprod] PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityUfuncs::test_power PASSED astropy/units/tests/test_logarithmic.py::TestLogQuantityUfuncs::test_not_implemented_with_physical_unit PASSED astropy/units/tests/test_physical.py::test_simple PASSED astropy/units/tests/test_physical.py::test_power PASSED astropy/units/tests/test_physical.py::test_speed PASSED astropy/units/tests/test_physical.py::test_unknown PASSED astropy/units/tests/test_physical.py::test_dimensionless PASSED astropy/units/tests/test_physical.py::test_angular_momentum PASSED astropy/units/tests/test_physical.py::test_flam PASSED astropy/units/tests/test_physical.py::test_photlam PASSED astropy/units/tests/test_physical.py::test_photnu PASSED astropy/units/tests/test_physical.py::test_redundant_physical_type PASSED astropy/units/tests/test_physical.py::test_data_quantity PASSED astropy/units/tests/test_quantity.py::TestQuantityCreation::test_1 PASSED astropy/units/tests/test_quantity.py::TestQuantityCreation::test_2 PASSED astropy/units/tests/test_quantity.py::TestQuantityCreation::test_3 PASSED astropy/units/tests/test_quantity.py::TestQuantityCreation::test_nan_inf PASSED astropy/units/tests/test_quantity.py::TestQuantityCreation::test_unit_property PASSED astropy/units/tests/test_quantity.py::TestQuantityCreation::test_preserve_dtype PASSED astropy/units/tests/test_quantity.py::TestQuantityCreation::test_copy PASSED astropy/units/tests/test_quantity.py::TestQuantityCreation::test_subok PASSED astropy/units/tests/test_quantity.py::TestQuantityCreation::test_order PASSED astropy/units/tests/test_quantity.py::TestQuantityCreation::test_ndmin PASSED astropy/units/tests/test_quantity.py::TestQuantityCreation::test_non_quantity_with_unit PASSED astropy/units/tests/test_quantity.py::TestQuantityOperations::test_addition PASSED astropy/units/tests/test_quantity.py::TestQuantityOperations::test_subtraction PASSED astropy/units/tests/test_quantity.py::TestQuantityOperations::test_multiplication PASSED astropy/units/tests/test_quantity.py::TestQuantityOperations::test_division PASSED astropy/units/tests/test_quantity.py::TestQuantityOperations::test_commutativity PASSED astropy/units/tests/test_quantity.py::TestQuantityOperations::test_power PASSED astropy/units/tests/test_quantity.py::TestQuantityOperations::test_matrix_multiplication PASSED astropy/units/tests/test_quantity.py::TestQuantityOperations::test_unary PASSED astropy/units/tests/test_quantity.py::TestQuantityOperations::test_abs PASSED astropy/units/tests/test_quantity.py::TestQuantityOperations::test_incompatible_units PASSED astropy/units/tests/test_quantity.py::TestQuantityOperations::test_non_number_type PASSED astropy/units/tests/test_quantity.py::TestQuantityOperations::test_dimensionless_operations PASSED astropy/units/tests/test_quantity.py::TestQuantityOperations::test_complicated_operation PASSED astropy/units/tests/test_quantity.py::TestQuantityOperations::test_comparison PASSED astropy/units/tests/test_quantity.py::TestQuantityOperations::test_numeric_converters PASSED astropy/units/tests/test_quantity.py::TestQuantityOperations::test_numeric_converter_to_index_in_practice xfail astropy/units/tests/test_quantity.py::TestQuantityOperations::test_array_converters PASSED astropy/units/tests/test_quantity.py::test_quantity_conversion PASSED astropy/units/tests/test_quantity.py::test_quantity_value_views PASSED astropy/units/tests/test_quantity.py::test_quantity_conversion_with_equiv PASSED astropy/units/tests/test_quantity.py::test_quantity_conversion_equivalency_passed_on PASSED astropy/units/tests/test_quantity.py::test_self_equivalency PASSED astropy/units/tests/test_quantity.py::test_si PASSED astropy/units/tests/test_quantity.py::test_cgs PASSED astropy/units/tests/test_quantity.py::TestQuantityComparison::test_quantity_equality PASSED astropy/units/tests/test_quantity.py::TestQuantityComparison::test_quantity_comparison PASSED astropy/units/tests/test_quantity.py::TestQuantityDisplay::test_dimensionless_quantity_repr PASSED astropy/units/tests/test_quantity.py::TestQuantityDisplay::test_dimensionless_quantity_str PASSED astropy/units/tests/test_quantity.py::TestQuantityDisplay::test_dimensionless_quantity_format PASSED astropy/units/tests/test_quantity.py::TestQuantityDisplay::test_scalar_quantity_str PASSED astropy/units/tests/test_quantity.py::TestQuantityDisplay::test_scalar_quantity_repr PASSED astropy/units/tests/test_quantity.py::TestQuantityDisplay::test_array_quantity_str PASSED astropy/units/tests/test_quantity.py::TestQuantityDisplay::test_array_quantity_repr PASSED astropy/units/tests/test_quantity.py::TestQuantityDisplay::test_scalar_quantity_format PASSED astropy/units/tests/test_quantity.py::TestQuantityDisplay::test_uninitialized_unit_format PASSED astropy/units/tests/test_quantity.py::TestQuantityDisplay::test_repr_latex PASSED astropy/units/tests/test_quantity.py::test_decompose PASSED astropy/units/tests/test_quantity.py::test_decompose_regression PASSED astropy/units/tests/test_quantity.py::test_arrays PASSED astropy/units/tests/test_quantity.py::test_array_indexing_slicing PASSED astropy/units/tests/test_quantity.py::test_array_setslice PASSED astropy/units/tests/test_quantity.py::test_inverse_quantity PASSED astropy/units/tests/test_quantity.py::test_quantity_mutability PASSED astropy/units/tests/test_quantity.py::test_quantity_initialized_with_quantity PASSED astropy/units/tests/test_quantity.py::test_quantity_string_unit PASSED astropy/units/tests/test_quantity.py::test_quantity_invalid_unit_string PASSED astropy/units/tests/test_quantity.py::test_implicit_conversion PASSED astropy/units/tests/test_quantity.py::test_implicit_conversion_autocomplete PASSED astropy/units/tests/test_quantity.py::test_quantity_iterability PASSED astropy/units/tests/test_quantity.py::test_copy PASSED astropy/units/tests/test_quantity.py::test_deepcopy PASSED astropy/units/tests/test_quantity.py::test_equality_numpy_scalar PASSED astropy/units/tests/test_quantity.py::test_quantity_pickelability PASSED astropy/units/tests/test_quantity.py::test_quantity_initialisation_from_string PASSED astropy/units/tests/test_quantity.py::test_unsupported PASSED astropy/units/tests/test_quantity.py::test_unit_identity PASSED astropy/units/tests/test_quantity.py::test_quantity_to_view PASSED astropy/units/tests/test_quantity.py::test_quantity_tuple_power PASSED astropy/units/tests/test_quantity.py::test_quantity_fraction_power PASSED astropy/units/tests/test_quantity.py::test_inherit_docstrings PASSED astropy/units/tests/test_quantity.py::test_quantity_from_table PASSED astropy/units/tests/test_quantity.py::test_insert PASSED astropy/units/tests/test_quantity.py::test_repr_array_of_quantity PASSED astropy/units/tests/test_quantity.py::TestSpecificTypeQuantity::test_creation PASSED astropy/units/tests/test_quantity.py::TestSpecificTypeQuantity::test_view PASSED astropy/units/tests/test_quantity.py::TestSpecificTypeQuantity::test_operation_precedence_and_fallback PASSED astropy/units/tests/test_quantity.py::TestQuantityMatplotlib::test_plot PASSED astropy/units/tests/test_quantity.py::TestQuantityMatplotlib::test_scatter PASSED astropy/units/tests/test_quantity.py::test_unit_class_override PASSED astropy/units/tests/test_quantity_array_methods.py::TestQuantityArrayCopy::test_copy_on_creation PASSED astropy/units/tests/test_quantity_array_methods.py::TestQuantityArrayCopy::test_to_copies PASSED astropy/units/tests/test_quantity_array_methods.py::TestQuantityArrayCopy::test_si_copies PASSED astropy/units/tests/test_quantity_array_methods.py::TestQuantityArrayCopy::test_getitem_is_view PASSED astropy/units/tests/test_quantity_array_methods.py::TestQuantityArrayCopy::test_flat PASSED astropy/units/tests/test_quantity_array_methods.py::TestQuantityReshapeFuncs::test_reshape PASSED astropy/units/tests/test_quantity_array_methods.py::TestQuantityReshapeFuncs::test_squeeze PASSED astropy/units/tests/test_quantity_array_methods.py::TestQuantityReshapeFuncs::test_ravel PASSED astropy/units/tests/test_quantity_array_methods.py::TestQuantityReshapeFuncs::test_flatten PASSED astropy/units/tests/test_quantity_array_methods.py::TestQuantityReshapeFuncs::test_transpose PASSED astropy/units/tests/test_quantity_array_methods.py::TestQuantityReshapeFuncs::test_swapaxes PASSED astropy/units/tests/test_quantity_array_methods.py::TestQuantityStatsFuncs::test_mean PASSED astropy/units/tests/test_quantity_array_methods.py::TestQuantityStatsFuncs::test_mean_inplace PASSED astropy/units/tests/test_quantity_array_methods.py::TestQuantityStatsFuncs::test_std PASSED astropy/units/tests/test_quantity_array_methods.py::TestQuantityStatsFuncs::test_std_inplace PASSED astropy/units/tests/test_quantity_array_methods.py::TestQuantityStatsFuncs::test_var PASSED astropy/units/tests/test_quantity_array_methods.py::TestQuantityStatsFuncs::test_var_inplace PASSED astropy/units/tests/test_quantity_array_methods.py::TestQuantityStatsFuncs::test_median PASSED astropy/units/tests/test_quantity_array_methods.py::TestQuantityStatsFuncs::test_median_inplace PASSED astropy/units/tests/test_quantity_array_methods.py::TestQuantityStatsFuncs::test_min PASSED astropy/units/tests/test_quantity_array_methods.py::TestQuantityStatsFuncs::test_min_inplace PASSED astropy/units/tests/test_quantity_array_methods.py::TestQuantityStatsFuncs::test_argmin PASSED astropy/units/tests/test_quantity_array_methods.py::TestQuantityStatsFuncs::test_max PASSED astropy/units/tests/test_quantity_array_methods.py::TestQuantityStatsFuncs::test_max_inplace PASSED astropy/units/tests/test_quantity_array_methods.py::TestQuantityStatsFuncs::test_argmax PASSED astropy/units/tests/test_quantity_array_methods.py::TestQuantityStatsFuncs::test_clip PASSED astropy/units/tests/test_quantity_array_methods.py::TestQuantityStatsFuncs::test_clip_inplace PASSED astropy/units/tests/test_quantity_array_methods.py::TestQuantityStatsFuncs::test_conj PASSED astropy/units/tests/test_quantity_array_methods.py::TestQuantityStatsFuncs::test_ptp PASSED astropy/units/tests/test_quantity_array_methods.py::TestQuantityStatsFuncs::test_ptp_inplace PASSED astropy/units/tests/test_quantity_array_methods.py::TestQuantityStatsFuncs::test_round PASSED astropy/units/tests/test_quantity_array_methods.py::TestQuantityStatsFuncs::test_round_inplace PASSED astropy/units/tests/test_quantity_array_methods.py::TestQuantityStatsFuncs::test_sum PASSED astropy/units/tests/test_quantity_array_methods.py::TestQuantityStatsFuncs::test_sum_inplace PASSED astropy/units/tests/test_quantity_array_methods.py::TestQuantityStatsFuncs::test_cumsum PASSED astropy/units/tests/test_quantity_array_methods.py::TestQuantityStatsFuncs::test_cumsum_inplace PASSED astropy/units/tests/test_quantity_array_methods.py::TestQuantityStatsFuncs::test_nansum PASSED astropy/units/tests/test_quantity_array_methods.py::TestQuantityStatsFuncs::test_nansum_inplace PASSED astropy/units/tests/test_quantity_array_methods.py::TestQuantityStatsFuncs::test_prod PASSED astropy/units/tests/test_quantity_array_methods.py::TestQuantityStatsFuncs::test_cumprod PASSED astropy/units/tests/test_quantity_array_methods.py::TestQuantityStatsFuncs::test_diff PASSED astropy/units/tests/test_quantity_array_methods.py::TestQuantityStatsFuncs::test_ediff1d PASSED astropy/units/tests/test_quantity_array_methods.py::TestQuantityStatsFuncs::test_dot_func xfail astropy/units/tests/test_quantity_array_methods.py::TestQuantityStatsFuncs::test_dot_meth PASSED astropy/units/tests/test_quantity_array_methods.py::TestQuantityStatsFuncs::test_trace_func PASSED astropy/units/tests/test_quantity_array_methods.py::TestQuantityStatsFuncs::test_trace_meth PASSED astropy/units/tests/test_quantity_array_methods.py::TestQuantityStatsFuncs::test_clip_func PASSED astropy/units/tests/test_quantity_array_methods.py::TestQuantityStatsFuncs::test_clip_meth PASSED astropy/units/tests/test_quantity_array_methods.py::TestArrayConversion::test_item PASSED astropy/units/tests/test_quantity_array_methods.py::TestArrayConversion::test_slice PASSED astropy/units/tests/test_quantity_array_methods.py::TestArrayConversion::test_fill PASSED astropy/units/tests/test_quantity_array_methods.py::TestArrayConversion::test_repeat_compress_diagonal PASSED astropy/units/tests/test_quantity_array_methods.py::TestArrayConversion::test_view PASSED astropy/units/tests/test_quantity_array_methods.py::TestArrayConversion::test_slice_to_quantity PASSED astropy/units/tests/test_quantity_array_methods.py::TestArrayConversion::test_byte_type_view_field_changes PASSED astropy/units/tests/test_quantity_array_methods.py::TestArrayConversion::test_sort PASSED astropy/units/tests/test_quantity_array_methods.py::TestArrayConversion::test_not_implemented PASSED astropy/units/tests/test_quantity_array_methods.py::TestRecArray::test_creation PASSED astropy/units/tests/test_quantity_array_methods.py::TestRecArray::test_equality PASSED astropy/units/tests/test_quantity_decorator.py::test_args3[u.arcsec-u.arcsec] <- lib.linux-x86_64-3.6/astropy/units/tests/py3_test_quantity_annotations.py PASSED astropy/units/tests/test_quantity_decorator.py::test_args3['angle'-'angle'] <- lib.linux-x86_64-3.6/astropy/units/tests/py3_test_quantity_annotations.py PASSED astropy/units/tests/test_quantity_decorator.py::test_args_noconvert3[u.arcsec-u.arcsec] <- lib.linux-x86_64-3.6/astropy/units/tests/py3_test_quantity_annotations.py PASSED astropy/units/tests/test_quantity_decorator.py::test_args_noconvert3['angle'-'angle'] <- lib.linux-x86_64-3.6/astropy/units/tests/py3_test_quantity_annotations.py PASSED astropy/units/tests/test_quantity_decorator.py::test_args_nonquantity3[u.arcsec] <- lib.linux-x86_64-3.6/astropy/units/tests/py3_test_quantity_annotations.py PASSED astropy/units/tests/test_quantity_decorator.py::test_args_nonquantity3['angle'] <- lib.linux-x86_64-3.6/astropy/units/tests/py3_test_quantity_annotations.py PASSED astropy/units/tests/test_quantity_decorator.py::test_arg_equivalencies3[u.arcsec-u.eV] <- lib.linux-x86_64-3.6/astropy/units/tests/py3_test_quantity_annotations.py PASSED astropy/units/tests/test_quantity_decorator.py::test_arg_equivalencies3['angle'-'energy'] <- lib.linux-x86_64-3.6/astropy/units/tests/py3_test_quantity_annotations.py PASSED astropy/units/tests/test_quantity_decorator.py::test_wrong_unit3[u.arcsec-u.deg] <- lib.linux-x86_64-3.6/astropy/units/tests/py3_test_quantity_annotations.py PASSED astropy/units/tests/test_quantity_decorator.py::test_wrong_unit3['angle'-'angle'] <- lib.linux-x86_64-3.6/astropy/units/tests/py3_test_quantity_annotations.py PASSED astropy/units/tests/test_quantity_decorator.py::test_not_quantity3[u.arcsec-u.deg] <- lib.linux-x86_64-3.6/astropy/units/tests/py3_test_quantity_annotations.py PASSED astropy/units/tests/test_quantity_decorator.py::test_not_quantity3['angle'-'angle'] <- lib.linux-x86_64-3.6/astropy/units/tests/py3_test_quantity_annotations.py PASSED astropy/units/tests/test_quantity_decorator.py::test_decorator_override <- lib.linux-x86_64-3.6/astropy/units/tests/py3_test_quantity_annotations.py PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs3[u.arcsec-u.deg] <- lib.linux-x86_64-3.6/astropy/units/tests/py3_test_quantity_annotations.py PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs3['angle'-'angle'] <- lib.linux-x86_64-3.6/astropy/units/tests/py3_test_quantity_annotations.py PASSED astropy/units/tests/test_quantity_decorator.py::test_unused_kwargs3[u.arcsec-u.deg] <- lib.linux-x86_64-3.6/astropy/units/tests/py3_test_quantity_annotations.py PASSED astropy/units/tests/test_quantity_decorator.py::test_unused_kwargs3['angle'-'angle'] <- lib.linux-x86_64-3.6/astropy/units/tests/py3_test_quantity_annotations.py PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_equivalencies3[u.arcsec-u.eV] <- lib.linux-x86_64-3.6/astropy/units/tests/py3_test_quantity_annotations.py PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_equivalencies3['angle'-'energy'] <- lib.linux-x86_64-3.6/astropy/units/tests/py3_test_quantity_annotations.py PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_wrong_unit3[u.arcsec-u.deg] <- lib.linux-x86_64-3.6/astropy/units/tests/py3_test_quantity_annotations.py PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_wrong_unit3['angle'-'angle'] <- lib.linux-x86_64-3.6/astropy/units/tests/py3_test_quantity_annotations.py PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_not_quantity3[u.arcsec-u.deg] <- lib.linux-x86_64-3.6/astropy/units/tests/py3_test_quantity_annotations.py PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_not_quantity3['angle'-'angle'] <- lib.linux-x86_64-3.6/astropy/units/tests/py3_test_quantity_annotations.py PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_default3[u.arcsec-u.deg] <- lib.linux-x86_64-3.6/astropy/units/tests/py3_test_quantity_annotations.py PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_default3['angle'-'angle'] <- lib.linux-x86_64-3.6/astropy/units/tests/py3_test_quantity_annotations.py PASSED astropy/units/tests/test_quantity_decorator.py::test_return_annotation <- lib.linux-x86_64-3.6/astropy/units/tests/py3_test_quantity_annotations.py PASSED astropy/units/tests/test_quantity_decorator.py::test_args[0-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_wrong_unit[0-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_not_quantity[0-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs[0-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_unused_kwargs[0-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_wrong_unit[0-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_not_quantity[0-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_default[0-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs_input[0-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_args[0-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_wrong_unit[0-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_not_quantity[0-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs[0-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_unused_kwargs[0-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_wrong_unit[0-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_not_quantity[0-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_default[0-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs_input[0-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_args[1-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_wrong_unit[1-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_not_quantity[1-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs[1-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_unused_kwargs[1-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_wrong_unit[1-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_not_quantity[1-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_default[1-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs_input[1-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_args[1-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_wrong_unit[1-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_not_quantity[1-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs[1-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_unused_kwargs[1-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_wrong_unit[1-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_not_quantity[1-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_default[1-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs_input[1-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_args[1-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_wrong_unit[1-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_not_quantity[1-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs[1-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_unused_kwargs[1-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_wrong_unit[1-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_not_quantity[1-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_default[1-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs_input[1-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_args[0-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_wrong_unit[0-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_not_quantity[0-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs[0-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_unused_kwargs[0-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_wrong_unit[0-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_not_quantity[0-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_default[0-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs_input[0-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_args[2-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_wrong_unit[2-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_not_quantity[2-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs[2-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_unused_kwargs[2-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_wrong_unit[2-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_not_quantity[2-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_default[2-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs_input[2-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_args[2-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_wrong_unit[2-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_not_quantity[2-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs[2-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_unused_kwargs[2-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_wrong_unit[2-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_not_quantity[2-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_default[2-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs_input[2-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_args[2-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_wrong_unit[2-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_not_quantity[2-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs[2-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_unused_kwargs[2-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_wrong_unit[2-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_not_quantity[2-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_default[2-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs_input[2-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_args[2-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_wrong_unit[2-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_not_quantity[2-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs[2-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_unused_kwargs[2-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_wrong_unit[2-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_not_quantity[2-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_default[2-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs_input[2-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_args[1-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_wrong_unit[1-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_not_quantity[1-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs[1-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_unused_kwargs[1-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_wrong_unit[1-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_not_quantity[1-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_default[1-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs_input[1-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_args[0-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_wrong_unit[0-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_not_quantity[0-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs[0-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_unused_kwargs[0-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_wrong_unit[0-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_not_quantity[0-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_default[0-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs_input[0-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_args[3-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_wrong_unit[3-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_not_quantity[3-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs[3-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_unused_kwargs[3-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_wrong_unit[3-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_not_quantity[3-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_default[3-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs_input[3-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_args[3-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_wrong_unit[3-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_not_quantity[3-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs[3-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_unused_kwargs[3-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_wrong_unit[3-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_not_quantity[3-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_default[3-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs_input[3-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_args[3-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_wrong_unit[3-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_not_quantity[3-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs[3-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_unused_kwargs[3-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_wrong_unit[3-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_not_quantity[3-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_default[3-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs_input[3-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_args[3-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_wrong_unit[3-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_not_quantity[3-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs[3-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_unused_kwargs[3-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_wrong_unit[3-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_not_quantity[3-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_default[3-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs_input[3-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_args_nonquantity[3] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs_extra[3] PASSED astropy/units/tests/test_quantity_decorator.py::test_args[4-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_wrong_unit[4-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_not_quantity[4-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs[4-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_unused_kwargs[4-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_wrong_unit[4-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_not_quantity[4-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_default[4-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs_input[4-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_args[4-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_wrong_unit[4-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_not_quantity[4-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs[4-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_unused_kwargs[4-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_wrong_unit[4-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_not_quantity[4-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_default[4-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs_input[4-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_args[4-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_wrong_unit[4-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_not_quantity[4-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs[4-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_unused_kwargs[4-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_wrong_unit[4-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_not_quantity[4-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_default[4-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs_input[4-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_args[4-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_wrong_unit[4-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_not_quantity[4-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs[4-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_unused_kwargs[4-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_wrong_unit[4-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_not_quantity[4-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_default[4-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs_input[4-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_args_nonquantity[4] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs_extra[4] PASSED astropy/units/tests/test_quantity_decorator.py::test_args[5-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_wrong_unit[5-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_not_quantity[5-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs[5-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_unused_kwargs[5-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_wrong_unit[5-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_not_quantity[5-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_default[5-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs_input[5-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_args[5-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_wrong_unit[5-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_not_quantity[5-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs[5-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_unused_kwargs[5-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_wrong_unit[5-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_not_quantity[5-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_default[5-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs_input[5-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_args[5-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_wrong_unit[5-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_not_quantity[5-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs[5-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_unused_kwargs[5-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_wrong_unit[5-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_not_quantity[5-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_default[5-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs_input[5-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_args[5-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_wrong_unit[5-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_not_quantity[5-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs[5-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_unused_kwargs[5-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_wrong_unit[5-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_not_quantity[5-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_default[5-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs_input[5-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_args_nonquantity[5] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs_extra[5] PASSED astropy/units/tests/test_quantity_decorator.py::test_args[6-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_wrong_unit[6-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_not_quantity[6-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs[6-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_unused_kwargs[6-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_wrong_unit[6-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_not_quantity[6-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_default[6-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs_input[6-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_args[6-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_wrong_unit[6-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_not_quantity[6-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs[6-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_unused_kwargs[6-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_wrong_unit[6-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_not_quantity[6-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_default[6-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs_input[6-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_args[6-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_wrong_unit[6-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_not_quantity[6-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs[6-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_unused_kwargs[6-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_wrong_unit[6-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_not_quantity[6-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_default[6-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs_input[6-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_args[6-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_wrong_unit[6-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_not_quantity[6-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs[6-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_unused_kwargs[6-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_wrong_unit[6-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_not_quantity[6-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_default[6-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs_input[6-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_args_nonquantity[6] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs_extra[6] PASSED astropy/units/tests/test_quantity_decorator.py::test_args[7-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_wrong_unit[7-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_not_quantity[7-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs[7-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_unused_kwargs[7-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_wrong_unit[7-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_not_quantity[7-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_default[7-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs_input[7-3] PASSED astropy/units/tests/test_quantity_decorator.py::test_args[7-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_wrong_unit[7-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_not_quantity[7-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs[7-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_unused_kwargs[7-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_wrong_unit[7-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_not_quantity[7-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_default[7-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs_input[7-2] PASSED astropy/units/tests/test_quantity_decorator.py::test_args[7-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_wrong_unit[7-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_not_quantity[7-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs[7-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_unused_kwargs[7-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_wrong_unit[7-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_not_quantity[7-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_default[7-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs_input[7-1] PASSED astropy/units/tests/test_quantity_decorator.py::test_args[7-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_wrong_unit[7-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_not_quantity[7-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs[7-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_unused_kwargs[7-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_wrong_unit[7-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_not_quantity[7-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_default[7-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs_input[7-0] PASSED astropy/units/tests/test_quantity_decorator.py::test_args_nonquantity[7] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs_extra[7] PASSED astropy/units/tests/test_quantity_decorator.py::test_args_nonquantity[2] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs_extra[2] PASSED astropy/units/tests/test_quantity_decorator.py::test_args_nonquantity[1] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs_extra[1] PASSED astropy/units/tests/test_quantity_decorator.py::test_args_nonquantity[0] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwargs_extra[0] PASSED astropy/units/tests/test_quantity_decorator.py::test_arg_equivalencies[x_unit0-y_unit0] PASSED astropy/units/tests/test_quantity_decorator.py::test_arg_equivalencies[angle-energy] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_equivalencies[x_unit0-energy_unit0] PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_equivalencies[angle-energy] PASSED astropy/units/tests/test_quantity_decorator.py::test_no_equivalent PASSED astropy/units/tests/test_quantity_decorator.py::test_kwarg_invalid_physical_type PASSED astropy/units/tests/test_quantity_decorator.py::test_default_value_check PASSED astropy/units/tests/test_quantity_decorator.py::test_args_None PASSED astropy/units/tests/test_quantity_decorator.py::test_args_None_kwarg PASSED astropy/units/tests/test_quantity_non_ufuncs.py::TestQuantityLinAlgFuncs::test_outer xfail astropy/units/tests/test_quantity_non_ufuncs.py::TestQuantityLinAlgFuncs::test_inner xfail astropy/units/tests/test_quantity_non_ufuncs.py::TestQuantityLinAlgFuncs::test_dot xfail astropy/units/tests/test_quantity_non_ufuncs.py::TestQuantityLinAlgFuncs::test_matmul xfail astropy/units/tests/test_quantity_ufuncs.py::TestUfuncCoverage::test_coverage PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityTrigonometricFuncs::test_sin_scalar PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityTrigonometricFuncs::test_sin_array PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityTrigonometricFuncs::test_arcsin_scalar PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityTrigonometricFuncs::test_arcsin_array PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityTrigonometricFuncs::test_sin_invalid_units PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityTrigonometricFuncs::test_arcsin_invalid_units PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityTrigonometricFuncs::test_arcsin_no_warning_on_unscaled_quantity PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityTrigonometricFuncs::test_cos_scalar PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityTrigonometricFuncs::test_cos_array PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityTrigonometricFuncs::test_arccos_scalar PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityTrigonometricFuncs::test_arccos_array PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityTrigonometricFuncs::test_cos_invalid_units PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityTrigonometricFuncs::test_arccos_invalid_units PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityTrigonometricFuncs::test_tan_scalar PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityTrigonometricFuncs::test_tan_array PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityTrigonometricFuncs::test_arctan_scalar PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityTrigonometricFuncs::test_arctan_array PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityTrigonometricFuncs::test_tan_invalid_units PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityTrigonometricFuncs::test_arctan_invalid_units PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityTrigonometricFuncs::test_arctan2_valid PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityTrigonometricFuncs::test_arctan2_invalid PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityTrigonometricFuncs::test_radians PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityTrigonometricFuncs::test_degrees PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_multiply_scalar PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_multiply_array PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_divide_scalar[function0] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_divide_scalar[function1] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_divide_array[function0] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_divide_array[function1] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_floor_divide_remainder_and_divmod PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_sqrt_scalar PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_sqrt_array PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_square_scalar PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_square_array PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_reciprocal_scalar PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_reciprocal_array PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_heaviside_scalar PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_heaviside_array PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_cbrt_scalar PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_cbrt_array PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_power_scalar PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_power_array PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_float_power_array PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_power_array_array PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_power_array_array2 PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_power_array_array3 PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_power_invalid PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_copysign_scalar PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_copysign_array PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_ldexp_scalar PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_ldexp_array PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_ldexp_invalid PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_exp_scalar[function0] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_exp_scalar[function1] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_exp_scalar[function2] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_exp_scalar[function3] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_exp_scalar[function4] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_exp_scalar[function5] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_exp_scalar[function6] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_exp_array[function0] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_exp_array[function1] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_exp_array[function2] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_exp_array[function3] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_exp_array[function4] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_exp_array[function5] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_exp_array[function6] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_exp_invalid_units[function0] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_exp_invalid_units[function1] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_exp_invalid_units[function2] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_exp_invalid_units[function3] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_exp_invalid_units[function4] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_exp_invalid_units[function5] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_exp_invalid_units[function6] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_modf_scalar PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_modf_array PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_frexp_scalar PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_frexp_array PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_frexp_invalid_units PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_dimensionless_twoarg_array[function0] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_dimensionless_twoarg_array[function1] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_dimensionless_twoarg_invalid_units[function0] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestQuantityMathFuncs::test_dimensionless_twoarg_invalid_units[function1] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_scalar[ufunc0] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_scalar[ufunc1] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_scalar[ufunc2] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_scalar[ufunc3] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_scalar[ufunc4] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_scalar[ufunc5] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_scalar[ufunc6] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_scalar[ufunc7] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_scalar[ufunc8] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_scalar[ufunc9] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_array[ufunc0] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_array[ufunc1] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_array[ufunc2] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_array[ufunc3] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_array[ufunc4] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_array[ufunc5] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_twoarg_scalar[ufunc0] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_twoarg_scalar[ufunc1] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_twoarg_scalar[ufunc2] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_twoarg_scalar[ufunc3] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_twoarg_scalar[ufunc4] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_twoarg_scalar[ufunc5] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_twoarg_scalar[ufunc6] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_twoarg_scalar[ufunc7] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_twoarg_scalar[ufunc8] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_twoarg_array[ufunc0] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_twoarg_array[ufunc1] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_twoarg_array[ufunc2] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_twoarg_array[ufunc3] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_twoarg_array[ufunc4] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_twoarg_array[ufunc5] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_twoarg_array[ufunc6] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_twoarg_array[ufunc7] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_twoarg_array[ufunc8] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_twoarg_one_arbitrary[ufunc0] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_twoarg_one_arbitrary[ufunc1] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_twoarg_one_arbitrary[ufunc2] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_twoarg_one_arbitrary[ufunc3] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_twoarg_one_arbitrary[ufunc4] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_twoarg_one_arbitrary[ufunc5] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_twoarg_one_arbitrary[ufunc6] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_twoarg_one_arbitrary[ufunc7] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_twoarg_one_arbitrary[ufunc8] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_twoarg_invalid_units[ufunc0] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_twoarg_invalid_units[ufunc1] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_twoarg_invalid_units[ufunc2] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_twoarg_invalid_units[ufunc3] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_twoarg_invalid_units[ufunc4] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_twoarg_invalid_units[ufunc5] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_twoarg_invalid_units[ufunc6] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_twoarg_invalid_units[ufunc7] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInvariantUfuncs::test_invariant_twoarg_invalid_units[ufunc8] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestComparisonUfuncs::test_comparison_valid_units[ufunc0] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestComparisonUfuncs::test_comparison_valid_units[ufunc1] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestComparisonUfuncs::test_comparison_valid_units[ufunc2] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestComparisonUfuncs::test_comparison_valid_units[ufunc3] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestComparisonUfuncs::test_comparison_valid_units[ufunc4] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestComparisonUfuncs::test_comparison_valid_units[ufunc5] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestComparisonUfuncs::test_comparison_invalid_units[ufunc0] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestComparisonUfuncs::test_comparison_invalid_units[ufunc1] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestComparisonUfuncs::test_comparison_invalid_units[ufunc2] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestComparisonUfuncs::test_comparison_invalid_units[ufunc3] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestComparisonUfuncs::test_comparison_invalid_units[ufunc4] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestComparisonUfuncs::test_comparison_invalid_units[ufunc5] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInplaceUfuncs::test_one_argument_ufunc_inplace[1.0] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInplaceUfuncs::test_one_argument_ufunc_inplace[value1] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInplaceUfuncs::test_one_argument_ufunc_inplace_2[1.0] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInplaceUfuncs::test_one_argument_ufunc_inplace_2[value1] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInplaceUfuncs::test_one_argument_two_output_ufunc_inplace[1.0] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInplaceUfuncs::test_one_argument_two_output_ufunc_inplace[value1] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInplaceUfuncs::test_two_argument_ufunc_inplace_1[1.0] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInplaceUfuncs::test_two_argument_ufunc_inplace_1[value1] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInplaceUfuncs::test_two_argument_ufunc_inplace_2[1.0] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInplaceUfuncs::test_two_argument_ufunc_inplace_2[value1] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInplaceUfuncs::test_two_argument_ufunc_inplace_3 PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInplaceUfuncs::test_two_argument_two_output_ufunc_inplace[1.0] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInplaceUfuncs::test_two_argument_two_output_ufunc_inplace[value1] PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInplaceUfuncs::test_ufunc_inplace_non_contiguous_data PASSED astropy/units/tests/test_quantity_ufuncs.py::TestInplaceUfuncs::test_ufunc_inplace_non_standard_dtype PASSED astropy/units/tests/test_quantity_ufuncs.py::TestUfuncAt::test_one_argument_ufunc_at PASSED astropy/units/tests/test_quantity_ufuncs.py::TestUfuncAt::test_two_argument_ufunc_at PASSED astropy/units/tests/test_quantity_ufuncs.py::TestUfuncReduceReduceatAccumulate::test_one_argument_ufunc_reduce_accumulate PASSED astropy/units/tests/test_quantity_ufuncs.py::TestUfuncReduceReduceatAccumulate::test_two_argument_ufunc_reduce_accumulate PASSED astropy/units/tests/test_quantity_ufuncs.py::TestUfuncOuter::test_one_argument_ufunc_outer PASSED astropy/units/tests/test_quantity_ufuncs.py::TestUfuncOuter::test_two_argument_ufunc_outer PASSED astropy/units/tests/test_units.py::test_getting_started PASSED astropy/units/tests/test_units.py::test_initialisation PASSED astropy/units/tests/test_units.py::test_invalid_power PASSED astropy/units/tests/test_units.py::test_invalid_compare PASSED astropy/units/tests/test_units.py::test_convert PASSED astropy/units/tests/test_units.py::test_convert_fail PASSED astropy/units/tests/test_units.py::test_composite PASSED astropy/units/tests/test_units.py::test_str PASSED astropy/units/tests/test_units.py::test_repr PASSED astropy/units/tests/test_units.py::test_represents PASSED astropy/units/tests/test_units.py::test_units_conversion PASSED astropy/units/tests/test_units.py::test_units_manipulation PASSED astropy/units/tests/test_units.py::test_decompose PASSED astropy/units/tests/test_units.py::test_dimensionless_to_si PASSED astropy/units/tests/test_units.py::test_dimensionless_to_cgs PASSED astropy/units/tests/test_units.py::test_unknown_unit PASSED astropy/units/tests/test_units.py::test_multiple_solidus PASSED astropy/units/tests/test_units.py::test_unknown_unit3 PASSED astropy/units/tests/test_units.py::test_invalid_scale PASSED astropy/units/tests/test_units.py::test_cds_power PASSED astropy/units/tests/test_units.py::test_register PASSED astropy/units/tests/test_units.py::test_in_units PASSED astropy/units/tests/test_units.py::test_null_unit PASSED astropy/units/tests/test_units.py::test_unrecognized_equivalency PASSED astropy/units/tests/test_units.py::test_unit_noarg PASSED astropy/units/tests/test_units.py::test_convertible_exception PASSED astropy/units/tests/test_units.py::test_convertible_exception2 PASSED astropy/units/tests/test_units.py::test_invalid_type PASSED astropy/units/tests/test_units.py::test_steradian PASSED astropy/units/tests/test_units.py::test_decompose_bases PASSED astropy/units/tests/test_units.py::test_complex_compose PASSED astropy/units/tests/test_units.py::test_equiv_compose PASSED astropy/units/tests/test_units.py::test_empty_compose PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[unit0] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[%] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[A] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[AU] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[Angstrom] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[Ba] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[Bi] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[Bq] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[C] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[Ci] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[D] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[F] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[Fr] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[G] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[Gal] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[H] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[Hz] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[J] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[Jy] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[K] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[M_e] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[M_p] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[N] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[Ohm] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[P] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[Pa] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[R] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[Ry] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[S] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[St] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[Sun] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[T] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[V] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[W] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[Wb] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[a] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[abC] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[adu] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[arcmin] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[arcsec] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[bar] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[barn] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[beam] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[bin] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[bit] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[byte] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[cd] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[chan] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[cm] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[ct] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[cycle] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[d] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[dB] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[deg] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[deg_C] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[dex] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[dyn] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[eV] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[earthMass] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[earthRad] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[electron] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[erg] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[fortnight] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[g] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[h] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[hourangle] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[jupiterMass] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[jupiterRad] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[k] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[kg] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[l] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[lm] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[lx] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[lyr] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[m] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[mag] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[mas] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[micron] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[min] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[mol] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[pc] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[ph] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[pix] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[rad] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[s] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[sday] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[solLum] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[solMass] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[solRad] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[sr] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[statA] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[t] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[u] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[uas] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[vox] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[wk] PASSED astropy/units/tests/test_units.py::test_compose_roundtrip[yr] PASSED astropy/units/tests/test_units.py::test_compose_cgs_to_si[Ba] PASSED astropy/units/tests/test_units.py::test_compose_cgs_to_si[Bi] PASSED astropy/units/tests/test_units.py::test_compose_cgs_to_si[C] PASSED astropy/units/tests/test_units.py::test_compose_cgs_to_si[D] PASSED astropy/units/tests/test_units.py::test_compose_cgs_to_si[Fr] PASSED astropy/units/tests/test_units.py::test_compose_cgs_to_si[G] PASSED astropy/units/tests/test_units.py::test_compose_cgs_to_si[Gal] PASSED astropy/units/tests/test_units.py::test_compose_cgs_to_si[K] PASSED astropy/units/tests/test_units.py::test_compose_cgs_to_si[P] PASSED astropy/units/tests/test_units.py::test_compose_cgs_to_si[St] PASSED astropy/units/tests/test_units.py::test_compose_cgs_to_si[abC] PASSED astropy/units/tests/test_units.py::test_compose_cgs_to_si[cd] PASSED astropy/units/tests/test_units.py::test_compose_cgs_to_si[cm] PASSED astropy/units/tests/test_units.py::test_compose_cgs_to_si[dyn] PASSED astropy/units/tests/test_units.py::test_compose_cgs_to_si[erg] PASSED astropy/units/tests/test_units.py::test_compose_cgs_to_si[g] PASSED astropy/units/tests/test_units.py::test_compose_cgs_to_si[k] PASSED astropy/units/tests/test_units.py::test_compose_cgs_to_si[mol] PASSED astropy/units/tests/test_units.py::test_compose_cgs_to_si[rad] PASSED astropy/units/tests/test_units.py::test_compose_cgs_to_si[s] PASSED astropy/units/tests/test_units.py::test_compose_cgs_to_si[sr] PASSED astropy/units/tests/test_units.py::test_compose_cgs_to_si[statA] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[%] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[A] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[Angstrom] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[Bq] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[C] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[Ci] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[F] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[H] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[Hz] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[J] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[K] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[N] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[Ohm] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[Pa] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[S] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[T] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[V] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[W] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[Wb] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[a] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[arcmin] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[arcsec] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[bar] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[cd] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[d] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[deg] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[eV] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[fortnight] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[g] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[h] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[hourangle] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[kg] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[l] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[lm] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[lx] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[m] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[mas] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[micron] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[min] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[mol] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[rad] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[s] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[sday] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[sr] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[t] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[uas] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[wk] PASSED astropy/units/tests/test_units.py::test_compose_si_to_cgs[yr] PASSED astropy/units/tests/test_units.py::test_to_cgs PASSED astropy/units/tests/test_units.py::test_decompose_to_cgs PASSED astropy/units/tests/test_units.py::test_compose_issue_579 PASSED astropy/units/tests/test_units.py::test_self_compose PASSED astropy/units/tests/test_units.py::test_compose_failed PASSED astropy/units/tests/test_units.py::test_compose_fractional_powers PASSED astropy/units/tests/test_units.py::test_compose_best_unit_first PASSED astropy/units/tests/test_units.py::test_compose_no_duplicates PASSED astropy/units/tests/test_units.py::test_long_int PASSED astropy/units/tests/test_units.py::test_endian_independence PASSED astropy/units/tests/test_units.py::test_radian_base PASSED astropy/units/tests/test_units.py::test_no_as PASSED astropy/units/tests/test_units.py::test_no_duplicates_in_names PASSED astropy/units/tests/test_units.py::test_pickling PASSED astropy/units/tests/test_units.py::test_pickle_unrecognized_unit PASSED astropy/units/tests/test_units.py::test_duplicate_define PASSED astropy/units/tests/test_units.py::test_all_units PASSED astropy/units/tests/test_units.py::test_repr_latex PASSED astropy/units/tests/test_units.py::test_operations_with_strings PASSED astropy/units/tests/test_units.py::test_comparison PASSED astropy/units/tests/test_units.py::test_compose_into_arbitrary_units PASSED astropy/units/tests/test_units.py::test_unit_multiplication_with_string PASSED astropy/units/tests/test_units.py::test_unit_division_by_string PASSED astropy/units/tests/test_units.py::test_sorted_bases PASSED astropy/units/tests/test_units.py::test_megabit PASSED astropy/units/tests/test_units.py::test_composite_unit_get_format_name PASSED astropy/units/tests/test_units.py::test_unicode_policy PASSED astropy/units/tests/test_units.py::test_suggestions PASSED astropy/units/tests/test_units.py::test_fits_hst_unit PASSED astropy/units/tests/test_units.py::test_barn_prefixes PASSED astropy/units/tests/test_units.py::test_fractional_powers PASSED astropy/units/tests/test_units.py::test_inherit_docstrings PASSED astropy/units/tests/test_units.py::test_sqrt_mag PASSED astropy/units/tests/test_units.py::test_composite_compose PASSED astropy/units/tests/test_units.py::test_data_quantities PASSED astropy/units/tests/test_units.py::test_compare_with_none PASSED astropy/units/tests/test_units.py::test_validate_power_detect_fraction PASSED astropy/units/tests/test_units.py::test_complex_fractional_rounding_errors PASSED astropy/units/tests/test_units.py::test_fractional_rounding_errors_simple PASSED astropy/units/tests/test_units.py::test_enable_unit_groupings PASSED astropy/units/tests/test_units.py::test_unit_summary_prefixes PASSED astropy/utils/data.py::astropy.utils.data.get_pkg_data_filename PASSED astropy/utils/data.py::astropy.utils.data.get_pkg_data_filenames PASSED astropy/utils/data.py::astropy.utils.data.get_pkg_data_fileobj PASSED astropy/utils/data.py::astropy.utils.data.get_pkg_data_fileobjs PASSED astropy/utils/data_info.py::astropy.utils.data_info.DataInfo.__call__ PASSED astropy/utils/data_info.py::astropy.utils.data_info.data_info_factory PASSED astropy/utils/decorators.py::astropy.utils.decorators.classproperty PASSED astropy/utils/decorators.py::astropy.utils.decorators.deprecated_renamed_argument PASSED astropy/utils/decorators.py::astropy.utils.decorators.format_doc PASSED astropy/utils/decorators.py::astropy.utils.decorators.lazyproperty PASSED astropy/utils/decorators.py::astropy.utils.decorators.sharedmethod PASSED astropy/utils/introspection.py::astropy.utils.introspection.isinstancemethod PASSED astropy/utils/introspection.py::astropy.utils.introspection.minversion PASSED astropy/utils/introspection.py::astropy.utils.introspection.resolve_name PASSED astropy/utils/metadata.py::astropy.utils.metadata.MergeStrategy PASSED astropy/utils/metadata.py::astropy.utils.metadata.enable_merge_strategies PASSED astropy/utils/misc.py::astropy.utils.misc.InheritDocstrings PASSED astropy/utils/misc.py::astropy.utils.misc.JsonCustomEncoder PASSED astropy/utils/misc.py::astropy.utils.misc.OrderedDescriptorContainer PASSED astropy/utils/timer.py::astropy.utils.timer.RunTimePredictor PASSED astropy/utils/compat/numpy/tests/test_broadcast_arrays.py::test_import PASSED astropy/utils/compat/numpy/tests/test_broadcast_arrays.py::test_test_function PASSED astropy/utils/compat/numpy/tests/test_broadcast_arrays.py::test_broadcast_quantity PASSED astropy/utils/compat/numpy/tests/test_broadcast_arrays.py::test_broadcast_to PASSED astropy/utils/compat/numpy/tests/test_matmul.py::test_import PASSED astropy/utils/compat/numpy/tests/test_matmul.py::test_test_function PASSED astropy/utils/compat/numpy/tests/test_matmul.py::test_matmul PASSED astropy/utils/iers/tests/test_iers.py::TestBasic::test_simple PASSED astropy/utils/iers/tests/test_iers.py::TestBasic::test_open_filename PASSED astropy/utils/iers/tests/test_iers.py::TestBasic::test_open_network_url PASSED astropy/utils/iers/tests/test_iers.py::TestIERS_AExcerpt::test_simple PASSED astropy/utils/iers/tests/test_iers.py::TestIERS_A::test_simple SKIPPED astropy/utils/iers/tests/test_iers.py::TestIERS_Auto::test_no_auto_download SKIPPED astropy/utils/iers/tests/test_iers.py::TestIERS_Auto::test_simple SKIPPED astropy/utils/tests/test_codegen.py::test_make_function_with_signature_lineno PASSED astropy/utils/tests/test_collections.py::test_homogeneous_list PASSED astropy/utils/tests/test_collections.py::test_homogeneous_list2 PASSED astropy/utils/tests/test_collections.py::test_homogeneous_list3 PASSED astropy/utils/tests/test_collections.py::test_homogeneous_list4 PASSED astropy/utils/tests/test_collections.py::test_homogeneous_list5 PASSED astropy/utils/tests/test_console.py::test_fake_tty PASSED astropy/utils/tests/test_console.py::test_color_text PASSED astropy/utils/tests/test_console.py::test_color_print PASSED astropy/utils/tests/test_console.py::test_color_print2 PASSED astropy/utils/tests/test_console.py::test_color_print3 PASSED astropy/utils/tests/test_console.py::test_color_print_unicode PASSED astropy/utils/tests/test_console.py::test_color_print_invalid_color PASSED astropy/utils/tests/test_console.py::test_color_print_no_default_encoding SKIPPED astropy/utils/tests/test_console.py::test_spinner_non_unicode_console PASSED astropy/utils/tests/test_console.py::test_progress_bar PASSED astropy/utils/tests/test_console.py::test_progress_bar2 PASSED astropy/utils/tests/test_console.py::test_progress_bar3 PASSED astropy/utils/tests/test_console.py::test_zero_progress_bar PASSED astropy/utils/tests/test_console.py::test_progress_bar_as_generator PASSED astropy/utils/tests/test_console.py::test_human_time[864088- 1w 3d] PASSED astropy/utils/tests/test_console.py::test_human_time[187213- 2d 4h] PASSED astropy/utils/tests/test_console.py::test_human_time[3905- 1h 5m] PASSED astropy/utils/tests/test_console.py::test_human_time[64- 1m 4s] PASSED astropy/utils/tests/test_console.py::test_human_time[15- 15s] PASSED astropy/utils/tests/test_console.py::test_human_time[2- 2s] PASSED astropy/utils/tests/test_console.py::test_human_file_size[8640882-8.6M] PASSED astropy/utils/tests/test_console.py::test_human_file_size[187213-187k] PASSED astropy/utils/tests/test_console.py::test_human_file_size[3905-3.9k] PASSED astropy/utils/tests/test_console.py::test_human_file_size[64- 64 ] PASSED astropy/utils/tests/test_console.py::test_human_file_size[2- 2 ] PASSED astropy/utils/tests/test_console.py::test_human_file_size[size5- 10G] PASSED astropy/utils/tests/test_console.py::test_bad_human_file_size[size0] PASSED astropy/utils/tests/test_console.py::test_bad_human_file_size[size1] PASSED astropy/utils/tests/test_data.py::test_download_nocache SKIPPED astropy/utils/tests/test_data.py::test_download_noprogress SKIPPED astropy/utils/tests/test_data.py::test_download_cache SKIPPED astropy/utils/tests/test_data.py::test_url_nocache SKIPPED astropy/utils/tests/test_data.py::test_find_by_hash SKIPPED astropy/utils/tests/test_data.py::test_local_data_obj[local.dat] PASSED astropy/utils/tests/test_data.py::test_local_data_obj[local.dat.gz] PASSED astropy/utils/tests/test_data.py::test_local_data_obj[local.dat.bz2] PASSED astropy/utils/tests/test_data.py::test_local_data_obj[local.dat.xz] PASSED astropy/utils/tests/test_data.py::test_local_data_obj_invalid[invalid.dat.bz2] PASSED astropy/utils/tests/test_data.py::test_local_data_obj_invalid[invalid.dat.gz] PASSED astropy/utils/tests/test_data.py::test_local_data_name PASSED astropy/utils/tests/test_data.py::test_data_name_third_party_package PASSED astropy/utils/tests/test_data.py::test_local_data_nonlocalfail PASSED astropy/utils/tests/test_data.py::test_compute_hash PASSED astropy/utils/tests/test_data.py::test_get_pkg_data_contents PASSED astropy/utils/tests/test_data.py::test_data_noastropy_fallback SKIPPED astropy/utils/tests/test_data.py::test_read_unicode[unicode.txt] PASSED astropy/utils/tests/test_data.py::test_read_unicode[unicode.txt.gz] PASSED astropy/utils/tests/test_data.py::test_read_unicode[unicode.txt.bz2] PASSED astropy/utils/tests/test_data.py::test_read_unicode[unicode.txt.xz] PASSED astropy/utils/tests/test_data.py::test_compressed_stream PASSED astropy/utils/tests/test_data.py::test_invalid_location_download SKIPPED astropy/utils/tests/test_data.py::test_invalid_location_download_noconnect PASSED astropy/utils/tests/test_data.py::test_is_url_in_cache SKIPPED astropy/utils/tests/test_data.py::test_get_readable_fileobj_cleans_up_temporary_files PASSED astropy/utils/tests/test_data.py::test_path_objects_get_readable_fileobj PASSED astropy/utils/tests/test_data.py::test_get_cached_urls SKIPPED astropy/utils/tests/test_data_info.py::test_dtype_info_name[input0-bytes4] PASSED astropy/utils/tests/test_data_info.py::test_dtype_info_name[input1-str4] PASSED astropy/utils/tests/test_data_info.py::test_dtype_info_name[S4-bytes4] PASSED astropy/utils/tests/test_data_info.py::test_dtype_info_name[U4-str4] PASSED astropy/utils/tests/test_data_info.py::test_dtype_info_name[void-void] PASSED astropy/utils/tests/test_data_info.py::test_dtype_info_name[int32-int32] PASSED astropy/utils/tests/test_data_info.py::test_dtype_info_name[bool-bool0] PASSED astropy/utils/tests/test_data_info.py::test_dtype_info_name[bool-bool1] PASSED astropy/utils/tests/test_data_info.py::test_dtype_info_name[float-float64] PASSED astropy/utils/tests/test_data_info.py::test_dtype_info_name[>' fakeroot debian/rules binary debian/rules:34: warning: overriding recipe for target 'override_dh_auto_build' debian/rules:25: warning: ignoring old recipe for target 'override_dh_auto_build' dh binary --with python2,python3,sphinxdoc dh_testroot dh_prep debian/rules override_dh_auto_install make[1]: Entering directory '/<>' debian/rules:34: warning: overriding recipe for target 'override_dh_auto_build' debian/rules:25: warning: ignoring old recipe for target 'override_dh_auto_build' python3.6 setup.py install --root=/<>/debian/tmp --install-layout=deb running install running build running build_py running pre_hook from astropy._erfa.setup_package for build_py command running pre_hook from astropy.modeling.setup_package for build_py command running build_ext running pre_hook from astropy._erfa.setup_package for build_ext command running pre_hook from astropy.modeling.setup_package for build_ext command building 'astropy._compiler' extension x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/python3.6m -c astropy/_compiler.c -o build/temp.linux-x86_64-3.6/astropy/_compiler.o x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -specs=/usr/share/dpkg/no-pie-link.specs -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-3.6/astropy/_compiler.o -o build/lib.linux-x86_64-3.6/astropy/_compiler.cpython-36m-x86_64-linux-gnu.so running install_lib creating /<>/debian/tmp creating /<>/debian/tmp/usr creating /<>/debian/tmp/usr/lib creating /<>/debian/tmp/usr/lib/python3 creating /<>/debian/tmp/usr/lib/python3/dist-packages creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy copying build/lib.linux-x86_64-3.6/astropy/_compiler.cpython-36m-x86_64-linux-gnu.so -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/stats copying build/lib.linux-x86_64-3.6/astropy/stats/circstats.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/stats copying build/lib.linux-x86_64-3.6/astropy/stats/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/stats copying build/lib.linux-x86_64-3.6/astropy/stats/bayesian_blocks.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/stats creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/stats/lombscargle copying build/lib.linux-x86_64-3.6/astropy/stats/lombscargle/core.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/stats/lombscargle copying build/lib.linux-x86_64-3.6/astropy/stats/lombscargle/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/stats/lombscargle creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/stats/lombscargle/implementations copying build/lib.linux-x86_64-3.6/astropy/stats/lombscargle/implementations/slow_impl.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/stats/lombscargle/implementations copying build/lib.linux-x86_64-3.6/astropy/stats/lombscargle/implementations/chi2_impl.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/stats/lombscargle/implementations copying build/lib.linux-x86_64-3.6/astropy/stats/lombscargle/implementations/cython_impl.cpython-36m-x86_64-linux-gnu.so -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/stats/lombscargle/implementations copying build/lib.linux-x86_64-3.6/astropy/stats/lombscargle/implementations/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/stats/lombscargle/implementations copying build/lib.linux-x86_64-3.6/astropy/stats/lombscargle/implementations/main.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/stats/lombscargle/implementations copying build/lib.linux-x86_64-3.6/astropy/stats/lombscargle/implementations/fast_impl.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/stats/lombscargle/implementations copying build/lib.linux-x86_64-3.6/astropy/stats/lombscargle/implementations/mle.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/stats/lombscargle/implementations copying build/lib.linux-x86_64-3.6/astropy/stats/lombscargle/implementations/fastchi2_impl.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/stats/lombscargle/implementations creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/stats/lombscargle/implementations/tests copying build/lib.linux-x86_64-3.6/astropy/stats/lombscargle/implementations/tests/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/stats/lombscargle/implementations/tests copying build/lib.linux-x86_64-3.6/astropy/stats/lombscargle/implementations/tests/test_mle.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/stats/lombscargle/implementations/tests copying build/lib.linux-x86_64-3.6/astropy/stats/lombscargle/implementations/tests/test_utils.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/stats/lombscargle/implementations/tests copying build/lib.linux-x86_64-3.6/astropy/stats/lombscargle/implementations/scipy_impl.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/stats/lombscargle/implementations copying build/lib.linux-x86_64-3.6/astropy/stats/lombscargle/implementations/utils.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/stats/lombscargle/implementations creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/stats/lombscargle/tests copying build/lib.linux-x86_64-3.6/astropy/stats/lombscargle/tests/test_lombscargle.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/stats/lombscargle/tests copying build/lib.linux-x86_64-3.6/astropy/stats/lombscargle/tests/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/stats/lombscargle/tests creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/stats/tests copying build/lib.linux-x86_64-3.6/astropy/stats/tests/test_funcs.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/stats/tests copying build/lib.linux-x86_64-3.6/astropy/stats/tests/test_circstats.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/stats/tests copying build/lib.linux-x86_64-3.6/astropy/stats/tests/test_spatial.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/stats/tests copying build/lib.linux-x86_64-3.6/astropy/stats/tests/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/stats/tests copying build/lib.linux-x86_64-3.6/astropy/stats/tests/test_biweight.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/stats/tests copying build/lib.linux-x86_64-3.6/astropy/stats/tests/test_bayesian_blocks.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/stats/tests copying build/lib.linux-x86_64-3.6/astropy/stats/tests/test_histogram.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/stats/tests copying build/lib.linux-x86_64-3.6/astropy/stats/tests/test_jackknife.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/stats/tests copying build/lib.linux-x86_64-3.6/astropy/stats/tests/test_info_theory.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/stats/tests copying build/lib.linux-x86_64-3.6/astropy/stats/tests/test_sigma_clipping.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/stats/tests copying build/lib.linux-x86_64-3.6/astropy/stats/info_theory.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/stats copying build/lib.linux-x86_64-3.6/astropy/stats/spatial.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/stats copying build/lib.linux-x86_64-3.6/astropy/stats/setup_package.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/stats copying build/lib.linux-x86_64-3.6/astropy/stats/biweight.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/stats copying build/lib.linux-x86_64-3.6/astropy/stats/histogram.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/stats copying build/lib.linux-x86_64-3.6/astropy/stats/jackknife.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/stats copying build/lib.linux-x86_64-3.6/astropy/stats/sigma_clipping.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/stats copying build/lib.linux-x86_64-3.6/astropy/stats/funcs.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/stats creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils copying build/lib.linux-x86_64-3.6/astropy/utils/_compiler.cpython-36m-x86_64-linux-gnu.so -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils copying build/lib.linux-x86_64-3.6/astropy/utils/metadata.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils copying build/lib.linux-x86_64-3.6/astropy/utils/introspection.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils copying build/lib.linux-x86_64-3.6/astropy/utils/data.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/xml copying build/lib.linux-x86_64-3.6/astropy/utils/xml/writer.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/xml copying build/lib.linux-x86_64-3.6/astropy/utils/xml/_iterparser.cpython-36m-x86_64-linux-gnu.so -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/xml copying build/lib.linux-x86_64-3.6/astropy/utils/xml/check.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/xml copying build/lib.linux-x86_64-3.6/astropy/utils/xml/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/xml copying build/lib.linux-x86_64-3.6/astropy/utils/xml/unescaper.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/xml copying build/lib.linux-x86_64-3.6/astropy/utils/xml/validate.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/xml creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/xml/tests copying build/lib.linux-x86_64-3.6/astropy/utils/xml/tests/test_iterparse.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/xml/tests copying build/lib.linux-x86_64-3.6/astropy/utils/xml/tests/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/xml/tests copying build/lib.linux-x86_64-3.6/astropy/utils/xml/iterparser.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/xml copying build/lib.linux-x86_64-3.6/astropy/utils/xml/setup_package.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/xml copying build/lib.linux-x86_64-3.6/astropy/utils/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils copying build/lib.linux-x86_64-3.6/astropy/utils/codegen.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/compat copying build/lib.linux-x86_64-3.6/astropy/utils/compat/numpycompat.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/compat creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/compat/numpy creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/compat/numpy/core copying build/lib.linux-x86_64-3.6/astropy/utils/compat/numpy/core/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/compat/numpy/core copying build/lib.linux-x86_64-3.6/astropy/utils/compat/numpy/core/multiarray.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/compat/numpy/core copying build/lib.linux-x86_64-3.6/astropy/utils/compat/numpy/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/compat/numpy creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/compat/numpy/tests copying build/lib.linux-x86_64-3.6/astropy/utils/compat/numpy/tests/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/compat/numpy/tests copying build/lib.linux-x86_64-3.6/astropy/utils/compat/numpy/tests/test_broadcast_arrays.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/compat/numpy/tests copying build/lib.linux-x86_64-3.6/astropy/utils/compat/numpy/tests/test_matmul.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/compat/numpy/tests creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/compat/numpy/lib copying build/lib.linux-x86_64-3.6/astropy/utils/compat/numpy/lib/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/compat/numpy/lib copying build/lib.linux-x86_64-3.6/astropy/utils/compat/numpy/lib/stride_tricks.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/compat/numpy/lib copying build/lib.linux-x86_64-3.6/astropy/utils/compat/funcsigs.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/compat copying build/lib.linux-x86_64-3.6/astropy/utils/compat/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/compat copying build/lib.linux-x86_64-3.6/astropy/utils/compat/_funcsigs.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/compat creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/compat/futures copying build/lib.linux-x86_64-3.6/astropy/utils/compat/futures/_base.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/compat/futures copying build/lib.linux-x86_64-3.6/astropy/utils/compat/futures/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/compat/futures copying build/lib.linux-x86_64-3.6/astropy/utils/compat/futures/process.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/compat/futures copying build/lib.linux-x86_64-3.6/astropy/utils/compat/futures/thread.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/compat/futures copying build/lib.linux-x86_64-3.6/astropy/utils/compat/misc.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/compat copying build/lib.linux-x86_64-3.6/astropy/utils/timer.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils copying build/lib.linux-x86_64-3.6/astropy/utils/state.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils copying build/lib.linux-x86_64-3.6/astropy/utils/console.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils copying build/lib.linux-x86_64-3.6/astropy/utils/exceptions.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/tests copying build/lib.linux-x86_64-3.6/astropy/utils/tests/test_timer.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/tests copying build/lib.linux-x86_64-3.6/astropy/utils/tests/test_decorators.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/tests copying build/lib.linux-x86_64-3.6/astropy/utils/tests/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/tests copying build/lib.linux-x86_64-3.6/astropy/utils/tests/test_xml.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/tests copying build/lib.linux-x86_64-3.6/astropy/utils/tests/test_data.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/tests copying build/lib.linux-x86_64-3.6/astropy/utils/tests/test_metadata.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/tests copying build/lib.linux-x86_64-3.6/astropy/utils/tests/test_data_info.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/tests copying build/lib.linux-x86_64-3.6/astropy/utils/tests/test_introspection.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/tests copying build/lib.linux-x86_64-3.6/astropy/utils/tests/test_console.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/tests copying build/lib.linux-x86_64-3.6/astropy/utils/tests/test_misc.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/tests copying build/lib.linux-x86_64-3.6/astropy/utils/tests/test_codegen.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/tests creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/tests/data copying build/lib.linux-x86_64-3.6/astropy/utils/tests/data/local.dat.bz2 -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/tests/data copying build/lib.linux-x86_64-3.6/astropy/utils/tests/data/unicode.txt.bz2 -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/tests/data copying build/lib.linux-x86_64-3.6/astropy/utils/tests/data/unicode.txt -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/tests/data copying build/lib.linux-x86_64-3.6/astropy/utils/tests/data/alias.cfg -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/tests/data copying build/lib.linux-x86_64-3.6/astropy/utils/tests/data/local.dat.xz -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/tests/data copying build/lib.linux-x86_64-3.6/astropy/utils/tests/data/local.dat.gz -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/tests/data copying build/lib.linux-x86_64-3.6/astropy/utils/tests/data/unicode.txt.xz -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/tests/data creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/tests/data/test_package copying build/lib.linux-x86_64-3.6/astropy/utils/tests/data/test_package/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/tests/data/test_package creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/tests/data/test_package/data copying build/lib.linux-x86_64-3.6/astropy/utils/tests/data/test_package/data/foo.txt -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/tests/data/test_package/data copying build/lib.linux-x86_64-3.6/astropy/utils/tests/data/unicode.txt.gz -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/tests/data copying build/lib.linux-x86_64-3.6/astropy/utils/tests/data/.hidden_file.txt -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/tests/data copying build/lib.linux-x86_64-3.6/astropy/utils/tests/data/local.dat -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/tests/data copying build/lib.linux-x86_64-3.6/astropy/utils/tests/test_collections.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/tests creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/iers copying build/lib.linux-x86_64-3.6/astropy/utils/iers/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/iers copying build/lib.linux-x86_64-3.6/astropy/utils/iers/iers.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/iers creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/iers/tests copying build/lib.linux-x86_64-3.6/astropy/utils/iers/tests/finals2000A-2016-04-30-test -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/iers/tests copying build/lib.linux-x86_64-3.6/astropy/utils/iers/tests/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/iers/tests copying build/lib.linux-x86_64-3.6/astropy/utils/iers/tests/finals2000A-2016-02-30-test -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/iers/tests copying build/lib.linux-x86_64-3.6/astropy/utils/iers/tests/iers_a_excerpt -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/iers/tests copying build/lib.linux-x86_64-3.6/astropy/utils/iers/tests/test_iers.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/iers/tests creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/iers/data copying build/lib.linux-x86_64-3.6/astropy/utils/iers/data/ReadMe.eopc04_IAU2000 -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/iers/data copying build/lib.linux-x86_64-3.6/astropy/utils/iers/data/ReadMe.finals2000A -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/iers/data copying build/lib.linux-x86_64-3.6/astropy/utils/iers/data/eopc04_IAU2000.62-now -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/iers/data copying build/lib.linux-x86_64-3.6/astropy/utils/decorators.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils copying build/lib.linux-x86_64-3.6/astropy/utils/setup_package.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils copying build/lib.linux-x86_64-3.6/astropy/utils/collections.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils copying build/lib.linux-x86_64-3.6/astropy/utils/data_info.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils copying build/lib.linux-x86_64-3.6/astropy/utils/misc.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils copying build/lib.linux-x86_64-3.6/astropy/utils/argparse.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils copying build/lib.linux-x86_64-3.6/astropy/version.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/nddata copying build/lib.linux-x86_64-3.6/astropy/nddata/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/nddata copying build/lib.linux-x86_64-3.6/astropy/nddata/flag_collection.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/nddata creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/nddata/tests copying build/lib.linux-x86_64-3.6/astropy/nddata/tests/test_decorators.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/nddata/tests copying build/lib.linux-x86_64-3.6/astropy/nddata/tests/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/nddata/tests copying build/lib.linux-x86_64-3.6/astropy/nddata/tests/test_flag_collection.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/nddata/tests copying build/lib.linux-x86_64-3.6/astropy/nddata/tests/test_nddata.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/nddata/tests copying build/lib.linux-x86_64-3.6/astropy/nddata/tests/test_ccddata.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/nddata/tests copying build/lib.linux-x86_64-3.6/astropy/nddata/tests/test_nddata_base.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/nddata/tests copying build/lib.linux-x86_64-3.6/astropy/nddata/tests/test_utils.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/nddata/tests copying build/lib.linux-x86_64-3.6/astropy/nddata/tests/test_compat.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/nddata/tests creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/nddata/tests/data copying build/lib.linux-x86_64-3.6/astropy/nddata/tests/data/sip-wcs.fits -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/nddata/tests/data copying build/lib.linux-x86_64-3.6/astropy/nddata/tests/test_nduncertainty.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/nddata/tests copying build/lib.linux-x86_64-3.6/astropy/nddata/nddata_withmixins.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/nddata copying build/lib.linux-x86_64-3.6/astropy/nddata/nddata_base.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/nddata copying build/lib.linux-x86_64-3.6/astropy/nddata/decorators.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/nddata copying build/lib.linux-x86_64-3.6/astropy/nddata/nduncertainty.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/nddata copying build/lib.linux-x86_64-3.6/astropy/nddata/setup_package.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/nddata copying build/lib.linux-x86_64-3.6/astropy/nddata/ccddata.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/nddata creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/nddata/mixins copying build/lib.linux-x86_64-3.6/astropy/nddata/mixins/ndarithmetic.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/nddata/mixins copying build/lib.linux-x86_64-3.6/astropy/nddata/mixins/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/nddata/mixins creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/nddata/mixins/tests copying build/lib.linux-x86_64-3.6/astropy/nddata/mixins/tests/test_ndslicing.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/nddata/mixins/tests copying build/lib.linux-x86_64-3.6/astropy/nddata/mixins/tests/test_ndio.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/nddata/mixins/tests copying build/lib.linux-x86_64-3.6/astropy/nddata/mixins/tests/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/nddata/mixins/tests copying build/lib.linux-x86_64-3.6/astropy/nddata/mixins/tests/test_ndarithmetic.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/nddata/mixins/tests copying build/lib.linux-x86_64-3.6/astropy/nddata/mixins/ndslicing.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/nddata/mixins copying build/lib.linux-x86_64-3.6/astropy/nddata/mixins/ndio.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/nddata/mixins copying build/lib.linux-x86_64-3.6/astropy/nddata/utils.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/nddata copying build/lib.linux-x86_64-3.6/astropy/nddata/nddata.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/nddata copying build/lib.linux-x86_64-3.6/astropy/nddata/compat.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/nddata creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs copying build/lib.linux-x86_64-3.6/astropy/wcs/wcs.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs copying build/lib.linux-x86_64-3.6/astropy/wcs/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs copying build/lib.linux-x86_64-3.6/astropy/wcs/_docutil.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs copying build/lib.linux-x86_64-3.6/astropy/wcs/wcslint.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/tests creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/tests/extension copying build/lib.linux-x86_64-3.6/astropy/wcs/tests/extension/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/tests/extension copying build/lib.linux-x86_64-3.6/astropy/wcs/tests/extension/test_extension.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/tests/extension copying build/lib.linux-x86_64-3.6/astropy/wcs/tests/extension/setup.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/tests/extension copying build/lib.linux-x86_64-3.6/astropy/wcs/tests/extension/wcsapi_test.c -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/tests/extension creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/tests/maps copying build/lib.linux-x86_64-3.6/astropy/wcs/tests/maps/1904-66_QSC.hdr -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/tests/maps copying build/lib.linux-x86_64-3.6/astropy/wcs/tests/maps/1904-66_STG.hdr -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/tests/maps copying build/lib.linux-x86_64-3.6/astropy/wcs/tests/maps/1904-66_ZEA.hdr -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/tests/maps copying build/lib.linux-x86_64-3.6/astropy/wcs/tests/maps/1904-66_MOL.hdr -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/tests/maps copying build/lib.linux-x86_64-3.6/astropy/wcs/tests/maps/1904-66_COP.hdr -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/tests/maps copying build/lib.linux-x86_64-3.6/astropy/wcs/tests/maps/1904-66_SIN.hdr -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/tests/maps copying build/lib.linux-x86_64-3.6/astropy/wcs/tests/maps/1904-66_SZP.hdr -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/tests/maps copying build/lib.linux-x86_64-3.6/astropy/wcs/tests/maps/1904-66_BON.hdr -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/tests/maps copying build/lib.linux-x86_64-3.6/astropy/wcs/tests/maps/1904-66_CEA.hdr -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/tests/maps copying build/lib.linux-x86_64-3.6/astropy/wcs/tests/maps/1904-66_HPX.hdr -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/tests/maps copying build/lib.linux-x86_64-3.6/astropy/wcs/tests/maps/1904-66_COD.hdr -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/tests/maps copying build/lib.linux-x86_64-3.6/astropy/wcs/tests/maps/1904-66_PCO.hdr -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/tests/maps copying build/lib.linux-x86_64-3.6/astropy/wcs/tests/maps/1904-66_ZPN.hdr -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/tests/maps copying build/lib.linux-x86_64-3.6/astropy/wcs/tests/maps/1904-66_TAN.hdr -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/tests/maps copying build/lib.linux-x86_64-3.6/astropy/wcs/tests/maps/1904-66_AIR.hdr -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/tests/maps copying build/lib.linux-x86_64-3.6/astropy/wcs/tests/maps/1904-66_PAR.hdr -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/tests/maps copying build/lib.linux-x86_64-3.6/astropy/wcs/tests/maps/1904-66_NCP.hdr -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/tests/maps copying build/lib.linux-x86_64-3.6/astropy/wcs/tests/maps/1904-66_ARC.hdr -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/tests/maps copying build/lib.linux-x86_64-3.6/astropy/wcs/tests/maps/1904-66_CAR.hdr -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/tests/maps copying build/lib.linux-x86_64-3.6/astropy/wcs/tests/maps/1904-66_COE.hdr -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/tests/maps copying build/lib.linux-x86_64-3.6/astropy/wcs/tests/maps/1904-66_MER.hdr -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/tests/maps copying build/lib.linux-x86_64-3.6/astropy/wcs/tests/maps/1904-66_CSC.hdr -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/tests/maps copying build/lib.linux-x86_64-3.6/astropy/wcs/tests/maps/1904-66_SFL.hdr -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/tests/maps copying build/lib.linux-x86_64-3.6/astropy/wcs/tests/maps/1904-66_AZP.hdr -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/tests/maps copying build/lib.linux-x86_64-3.6/astropy/wcs/tests/maps/1904-66_CYP.hdr -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/tests/maps copying build/lib.linux-x86_64-3.6/astropy/wcs/tests/maps/1904-66_TSC.hdr -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/tests/maps copying build/lib.linux-x86_64-3.6/astropy/wcs/tests/maps/1904-66_COO.hdr -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/tests/maps copying build/lib.linux-x86_64-3.6/astropy/wcs/tests/maps/1904-66_AIT.hdr -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/tests/maps copying build/lib.linux-x86_64-3.6/astropy/wcs/tests/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/tests copying build/lib.linux-x86_64-3.6/astropy/wcs/tests/test_wcs.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/tests creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/tests/spectra copying build/lib.linux-x86_64-3.6/astropy/wcs/tests/spectra/orion-wave-1.hdr -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/tests/spectra copying build/lib.linux-x86_64-3.6/astropy/wcs/tests/spectra/orion-velo-4.hdr -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/tests/spectra copying build/lib.linux-x86_64-3.6/astropy/wcs/tests/spectra/orion-freq-4.hdr -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/tests/spectra copying build/lib.linux-x86_64-3.6/astropy/wcs/tests/spectra/orion-velo-1.hdr -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/tests/spectra copying build/lib.linux-x86_64-3.6/astropy/wcs/tests/spectra/orion-wave-4.hdr -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/tests/spectra copying build/lib.linux-x86_64-3.6/astropy/wcs/tests/spectra/orion-freq-1.hdr -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/tests/spectra copying build/lib.linux-x86_64-3.6/astropy/wcs/tests/test_pickle.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/tests copying build/lib.linux-x86_64-3.6/astropy/wcs/tests/test_utils.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/tests copying build/lib.linux-x86_64-3.6/astropy/wcs/tests/test_profiling.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/tests copying build/lib.linux-x86_64-3.6/astropy/wcs/tests/test_wcsprm.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/tests creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/tests/data copying build/lib.linux-x86_64-3.6/astropy/wcs/tests/data/sip.fits -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/tests/data copying build/lib.linux-x86_64-3.6/astropy/wcs/tests/data/outside_sky.hdr -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/tests/data copying build/lib.linux-x86_64-3.6/astropy/wcs/tests/data/tpvonly.hdr -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/tests/data copying build/lib.linux-x86_64-3.6/astropy/wcs/tests/data/unit.hdr -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/tests/data copying build/lib.linux-x86_64-3.6/astropy/wcs/tests/data/sip-broken.hdr -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/tests/data copying build/lib.linux-x86_64-3.6/astropy/wcs/tests/data/validate.5.13.txt -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/tests/data copying build/lib.linux-x86_64-3.6/astropy/wcs/tests/data/sub-segfault.hdr -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/tests/data copying build/lib.linux-x86_64-3.6/astropy/wcs/tests/data/defunct_keywords.hdr -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/tests/data copying build/lib.linux-x86_64-3.6/astropy/wcs/tests/data/3d_cd.hdr -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/tests/data copying build/lib.linux-x86_64-3.6/astropy/wcs/tests/data/zpn-hole.hdr -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/tests/data copying build/lib.linux-x86_64-3.6/astropy/wcs/tests/data/header_newlines.fits -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/tests/data copying build/lib.linux-x86_64-3.6/astropy/wcs/tests/data/validate.5.0.txt -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/tests/data copying build/lib.linux-x86_64-3.6/astropy/wcs/tests/data/sip2.fits -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/tests/data copying build/lib.linux-x86_64-3.6/astropy/wcs/tests/data/dist_lookup.fits.gz -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/tests/data copying build/lib.linux-x86_64-3.6/astropy/wcs/tests/data/siponly.hdr -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/tests/data copying build/lib.linux-x86_64-3.6/astropy/wcs/tests/data/validate.txt -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/tests/data copying build/lib.linux-x86_64-3.6/astropy/wcs/tests/data/j94f05bgq_flt.fits -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/tests/data copying build/lib.linux-x86_64-3.6/astropy/wcs/tests/data/2wcses.hdr -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/tests/data copying build/lib.linux-x86_64-3.6/astropy/wcs/tests/data/dist.fits -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/tests/data copying build/lib.linux-x86_64-3.6/astropy/wcs/tests/data/nonstandard_units.hdr -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/tests/data copying build/lib.linux-x86_64-3.6/astropy/wcs/tests/data/irac_sip.hdr -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/tests/data copying build/lib.linux-x86_64-3.6/astropy/wcs/tests/data/invalid_header.hdr -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/tests/data copying build/lib.linux-x86_64-3.6/astropy/wcs/tests/data/locale.hdr -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/tests/data copying build/lib.linux-x86_64-3.6/astropy/wcs/tests/data/too_many_pv.hdr -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/tests/data copying build/lib.linux-x86_64-3.6/astropy/wcs/tests/data/validate.fits -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/tests/data copying build/lib.linux-x86_64-3.6/astropy/wcs/setup_package.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs copying build/lib.linux-x86_64-3.6/astropy/wcs/docstrings.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs copying build/lib.linux-x86_64-3.6/astropy/wcs/_wcs.cpython-36m-x86_64-linux-gnu.so -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs copying build/lib.linux-x86_64-3.6/astropy/wcs/utils.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/include creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/include/astropy_wcs copying build/lib.linux-x86_64-3.6/astropy/wcs/include/astropy_wcs/pyutil.h -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/include/astropy_wcs copying build/lib.linux-x86_64-3.6/astropy/wcs/include/astropy_wcs/isnan.h -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/include/astropy_wcs copying build/lib.linux-x86_64-3.6/astropy/wcs/include/astropy_wcs/util.h -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/include/astropy_wcs copying build/lib.linux-x86_64-3.6/astropy/wcs/include/astropy_wcs/astropy_wcs_api.h -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/include/astropy_wcs copying build/lib.linux-x86_64-3.6/astropy/wcs/include/astropy_wcs/wcsconfig.h -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/include/astropy_wcs copying build/lib.linux-x86_64-3.6/astropy/wcs/include/astropy_wcs/pipeline.h -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/include/astropy_wcs copying build/lib.linux-x86_64-3.6/astropy/wcs/include/astropy_wcs/astropy_wcs.h -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/include/astropy_wcs copying build/lib.linux-x86_64-3.6/astropy/wcs/include/astropy_wcs/sip.h -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/include/astropy_wcs copying build/lib.linux-x86_64-3.6/astropy/wcs/include/astropy_wcs/distortion.h -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/include/astropy_wcs creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/include/wcslib copying build/lib.linux-x86_64-3.6/astropy/wcs/include/wcslib/wcserr.h -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/include/wcslib copying build/lib.linux-x86_64-3.6/astropy/wcs/include/wcslib/wcsprintf.h -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/include/wcslib copying build/lib.linux-x86_64-3.6/astropy/wcs/include/wcslib/wcsmath.h -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/include/wcslib copying build/lib.linux-x86_64-3.6/astropy/wcs/include/wcslib/prj.h -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/include/wcslib copying build/lib.linux-x86_64-3.6/astropy/wcs/include/wcslib/spc.h -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/include/wcslib copying build/lib.linux-x86_64-3.6/astropy/wcs/include/wcslib/tab.h -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/include/wcslib copying build/lib.linux-x86_64-3.6/astropy/wcs/include/wcslib/spx.h -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/include/wcslib copying build/lib.linux-x86_64-3.6/astropy/wcs/include/wcslib/lin.h -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/include/wcslib copying build/lib.linux-x86_64-3.6/astropy/wcs/include/wcslib/wcs.h -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/include/wcslib copying build/lib.linux-x86_64-3.6/astropy/wcs/include/wcslib/cel.h -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/include/wcslib copying build/lib.linux-x86_64-3.6/astropy/wcs/include/astropy_wcs_api.h -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/include creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/analytic_functions copying build/lib.linux-x86_64-3.6/astropy/analytic_functions/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/analytic_functions creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/analytic_functions/tests copying build/lib.linux-x86_64-3.6/astropy/analytic_functions/tests/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/analytic_functions/tests copying build/lib.linux-x86_64-3.6/astropy/analytic_functions/tests/test_blackbody.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/analytic_functions/tests copying build/lib.linux-x86_64-3.6/astropy/analytic_functions/blackbody.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/analytic_functions copying build/lib.linux-x86_64-3.6/astropy/cython_version.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/config copying build/lib.linux-x86_64-3.6/astropy/config/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/config creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/config/tests copying build/lib.linux-x86_64-3.6/astropy/config/tests/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/config/tests copying build/lib.linux-x86_64-3.6/astropy/config/tests/test_configs.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/config/tests creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/config/tests/data copying build/lib.linux-x86_64-3.6/astropy/config/tests/data/alias.cfg -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/config/tests/data copying build/lib.linux-x86_64-3.6/astropy/config/tests/data/astropy.0.3.cfg -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/config/tests/data copying build/lib.linux-x86_64-3.6/astropy/config/tests/data/astropy.0.3.windows.cfg -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/config/tests/data copying build/lib.linux-x86_64-3.6/astropy/config/tests/data/not_empty.cfg -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/config/tests/data copying build/lib.linux-x86_64-3.6/astropy/config/tests/data/deprecated.cfg -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/config/tests/data copying build/lib.linux-x86_64-3.6/astropy/config/tests/data/empty.cfg -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/config/tests/data copying build/lib.linux-x86_64-3.6/astropy/config/setup_package.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/config copying build/lib.linux-x86_64-3.6/astropy/config/paths.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/config copying build/lib.linux-x86_64-3.6/astropy/config/configuration.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/config copying build/lib.linux-x86_64-3.6/astropy/config/affiliated.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/config creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/_erfa copying build/lib.linux-x86_64-3.6/astropy/_erfa/core.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/_erfa copying build/lib.linux-x86_64-3.6/astropy/_erfa/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/_erfa creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/_erfa/tests copying build/lib.linux-x86_64-3.6/astropy/_erfa/tests/test_erfa.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/_erfa/tests copying build/lib.linux-x86_64-3.6/astropy/_erfa/tests/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/_erfa/tests copying build/lib.linux-x86_64-3.6/astropy/_erfa/setup_package.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/_erfa copying build/lib.linux-x86_64-3.6/astropy/_erfa/_core.cpython-36m-x86_64-linux-gnu.so -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/_erfa copying build/lib.linux-x86_64-3.6/astropy/_erfa/erfa_generator.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/_erfa copying build/lib.linux-x86_64-3.6/astropy/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/vo copying build/lib.linux-x86_64-3.6/astropy/vo/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/vo creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/vo/validator copying build/lib.linux-x86_64-3.6/astropy/vo/validator/inspect.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/vo/validator copying build/lib.linux-x86_64-3.6/astropy/vo/validator/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/vo/validator copying build/lib.linux-x86_64-3.6/astropy/vo/validator/exceptions.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/vo/validator copying build/lib.linux-x86_64-3.6/astropy/vo/validator/validate.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/vo/validator creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/vo/validator/tests copying build/lib.linux-x86_64-3.6/astropy/vo/validator/tests/test_validate.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/vo/validator/tests copying build/lib.linux-x86_64-3.6/astropy/vo/validator/tests/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/vo/validator/tests copying build/lib.linux-x86_64-3.6/astropy/vo/validator/tests/test_inpect.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/vo/validator/tests creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/vo/validator/tests/data copying build/lib.linux-x86_64-3.6/astropy/vo/validator/tests/data/conesearch_good.json -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/vo/validator/tests/data copying build/lib.linux-x86_64-3.6/astropy/vo/validator/tests/data/vao_conesearch_sites_121107_subset.xml -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/vo/validator/tests/data copying build/lib.linux-x86_64-3.6/astropy/vo/validator/tests/data/conesearch_warn.json -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/vo/validator/tests/data copying build/lib.linux-x86_64-3.6/astropy/vo/validator/tests/data/listcats1.out -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/vo/validator/tests/data copying build/lib.linux-x86_64-3.6/astropy/vo/validator/tests/data/conesearch_exception.json -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/vo/validator/tests/data copying build/lib.linux-x86_64-3.6/astropy/vo/validator/tests/data/conesearch_error.json -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/vo/validator/tests/data copying build/lib.linux-x86_64-3.6/astropy/vo/validator/tests/data/tally.out -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/vo/validator/tests/data copying build/lib.linux-x86_64-3.6/astropy/vo/validator/tests/data/printcat.out -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/vo/validator/tests/data copying build/lib.linux-x86_64-3.6/astropy/vo/validator/tests/data/listcats2.out -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/vo/validator/tests/data copying build/lib.linux-x86_64-3.6/astropy/vo/validator/setup_package.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/vo/validator copying build/lib.linux-x86_64-3.6/astropy/vo/validator/tstquery.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/vo/validator creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/vo/validator/data copying build/lib.linux-x86_64-3.6/astropy/vo/validator/data/conesearch_urls.txt -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/vo/validator/data creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/vo/samp copying build/lib.linux-x86_64-3.6/astropy/vo/samp/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/vo/samp creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/vo/client copying build/lib.linux-x86_64-3.6/astropy/vo/client/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/vo/client copying build/lib.linux-x86_64-3.6/astropy/vo/client/exceptions.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/vo/client creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/vo/client/tests copying build/lib.linux-x86_64-3.6/astropy/vo/client/tests/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/vo/client/tests copying build/lib.linux-x86_64-3.6/astropy/vo/client/tests/test_conesearch.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/vo/client/tests copying build/lib.linux-x86_64-3.6/astropy/vo/client/tests/test_vos_catalog.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/vo/client/tests creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/vo/client/tests/data copying build/lib.linux-x86_64-3.6/astropy/vo/client/tests/data/conesearch_error2.xml -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/vo/client/tests/data copying build/lib.linux-x86_64-3.6/astropy/vo/client/tests/data/conesearch_error4.xml -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/vo/client/tests/data copying build/lib.linux-x86_64-3.6/astropy/vo/client/tests/data/conesearch_error3.xml -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/vo/client/tests/data copying build/lib.linux-x86_64-3.6/astropy/vo/client/tests/data/conesearch_error1.xml -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/vo/client/tests/data copying build/lib.linux-x86_64-3.6/astropy/vo/client/tests/data/basic.json -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/vo/client/tests/data copying build/lib.linux-x86_64-3.6/astropy/vo/client/setup_package.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/vo/client copying build/lib.linux-x86_64-3.6/astropy/vo/client/conesearch.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/vo/client copying build/lib.linux-x86_64-3.6/astropy/vo/client/async.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/vo/client copying build/lib.linux-x86_64-3.6/astropy/vo/client/vos_catalog.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/vo/client creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/time copying build/lib.linux-x86_64-3.6/astropy/time/core.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/time copying build/lib.linux-x86_64-3.6/astropy/time/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/time creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/time/tests copying build/lib.linux-x86_64-3.6/astropy/time/tests/test_methods.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/time/tests copying build/lib.linux-x86_64-3.6/astropy/time/tests/test_guess.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/time/tests copying build/lib.linux-x86_64-3.6/astropy/time/tests/test_ut1.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/time/tests copying build/lib.linux-x86_64-3.6/astropy/time/tests/test_delta.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/time/tests copying build/lib.linux-x86_64-3.6/astropy/time/tests/test_comparisons.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/time/tests copying build/lib.linux-x86_64-3.6/astropy/time/tests/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/time/tests copying build/lib.linux-x86_64-3.6/astropy/time/tests/test_basic.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/time/tests copying build/lib.linux-x86_64-3.6/astropy/time/tests/test_quantity_interaction.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/time/tests copying build/lib.linux-x86_64-3.6/astropy/time/tests/test_pickle.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/time/tests copying build/lib.linux-x86_64-3.6/astropy/time/tests/test_corrs.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/time/tests copying build/lib.linux-x86_64-3.6/astropy/time/tests/test_precision.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/time/tests copying build/lib.linux-x86_64-3.6/astropy/time/tests/test_sidereal.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/time/tests copying build/lib.linux-x86_64-3.6/astropy/time/setup_package.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/time copying build/lib.linux-x86_64-3.6/astropy/time/utils.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/time copying build/lib.linux-x86_64-3.6/astropy/time/formats.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/time creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/table copying build/lib.linux-x86_64-3.6/astropy/table/table.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/table copying build/lib.linux-x86_64-3.6/astropy/table/info.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/table copying build/lib.linux-x86_64-3.6/astropy/table/sorted_array.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/table copying build/lib.linux-x86_64-3.6/astropy/table/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/table copying build/lib.linux-x86_64-3.6/astropy/table/jsviewer.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/table copying build/lib.linux-x86_64-3.6/astropy/table/_column_mixins.cpython-36m-x86_64-linux-gnu.so -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/table copying build/lib.linux-x86_64-3.6/astropy/table/groups.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/table copying build/lib.linux-x86_64-3.6/astropy/table/column.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/table copying build/lib.linux-x86_64-3.6/astropy/table/_np_utils.cpython-36m-x86_64-linux-gnu.so -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/table copying build/lib.linux-x86_64-3.6/astropy/table/meta.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/table copying build/lib.linux-x86_64-3.6/astropy/table/operations.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/table copying build/lib.linux-x86_64-3.6/astropy/table/serialize.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/table copying build/lib.linux-x86_64-3.6/astropy/table/table_helpers.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/table copying build/lib.linux-x86_64-3.6/astropy/table/pprint.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/table copying build/lib.linux-x86_64-3.6/astropy/table/row.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/table creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/table/tests copying build/lib.linux-x86_64-3.6/astropy/table/tests/test_array.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/table/tests copying build/lib.linux-x86_64-3.6/astropy/table/tests/test_column.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/table/tests copying build/lib.linux-x86_64-3.6/astropy/table/tests/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/table/tests copying build/lib.linux-x86_64-3.6/astropy/table/tests/test_np_utils.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/table/tests copying build/lib.linux-x86_64-3.6/astropy/table/tests/test_mixin.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/table/tests copying build/lib.linux-x86_64-3.6/astropy/table/tests/test_jsviewer.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/table/tests copying build/lib.linux-x86_64-3.6/astropy/table/tests/test_row.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/table/tests copying build/lib.linux-x86_64-3.6/astropy/table/tests/test_bst.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/table/tests copying build/lib.linux-x86_64-3.6/astropy/table/tests/test_init_table.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/table/tests copying build/lib.linux-x86_64-3.6/astropy/table/tests/test_masked.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/table/tests copying build/lib.linux-x86_64-3.6/astropy/table/tests/test_pickle.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/table/tests copying build/lib.linux-x86_64-3.6/astropy/table/tests/conftest.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/table/tests copying build/lib.linux-x86_64-3.6/astropy/table/tests/test_index.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/table/tests copying build/lib.linux-x86_64-3.6/astropy/table/tests/test_operations.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/table/tests copying build/lib.linux-x86_64-3.6/astropy/table/tests/test_subclass.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/table/tests copying build/lib.linux-x86_64-3.6/astropy/table/tests/test_info.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/table/tests copying build/lib.linux-x86_64-3.6/astropy/table/tests/test_groups.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/table/tests copying build/lib.linux-x86_64-3.6/astropy/table/tests/test_pprint.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/table/tests copying build/lib.linux-x86_64-3.6/astropy/table/tests/test_table.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/table/tests copying build/lib.linux-x86_64-3.6/astropy/table/tests/test_item_access.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/table/tests copying build/lib.linux-x86_64-3.6/astropy/table/np_utils.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/table copying build/lib.linux-x86_64-3.6/astropy/table/setup_package.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/table copying build/lib.linux-x86_64-3.6/astropy/table/index.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/table copying build/lib.linux-x86_64-3.6/astropy/table/bst.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/table creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/constants copying build/lib.linux-x86_64-3.6/astropy/constants/astropyconst13.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/constants copying build/lib.linux-x86_64-3.6/astropy/constants/si.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/constants copying build/lib.linux-x86_64-3.6/astropy/constants/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/constants copying build/lib.linux-x86_64-3.6/astropy/constants/constant.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/constants copying build/lib.linux-x86_64-3.6/astropy/constants/codata2010.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/constants creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/constants/tests copying build/lib.linux-x86_64-3.6/astropy/constants/tests/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/constants/tests copying build/lib.linux-x86_64-3.6/astropy/constants/tests/test_constant.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/constants/tests copying build/lib.linux-x86_64-3.6/astropy/constants/tests/test_prior_version.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/constants/tests copying build/lib.linux-x86_64-3.6/astropy/constants/tests/test_pickle.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/constants/tests copying build/lib.linux-x86_64-3.6/astropy/constants/iau2012.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/constants copying build/lib.linux-x86_64-3.6/astropy/constants/setup_package.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/constants copying build/lib.linux-x86_64-3.6/astropy/constants/cgs.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/constants copying build/lib.linux-x86_64-3.6/astropy/constants/iau2015.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/constants copying build/lib.linux-x86_64-3.6/astropy/constants/astropyconst20.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/constants copying build/lib.linux-x86_64-3.6/astropy/constants/codata2014.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/constants copying build/lib.linux-x86_64-3.6/astropy/logger.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/tests copying build/lib.linux-x86_64-3.6/astropy/tests/command.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/tests copying build/lib.linux-x86_64-3.6/astropy/tests/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/tests copying build/lib.linux-x86_64-3.6/astropy/tests/test_logger.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/tests copying build/lib.linux-x86_64-3.6/astropy/tests/runner.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/tests copying build/lib.linux-x86_64-3.6/astropy/tests/helper.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/tests copying build/lib.linux-x86_64-3.6/astropy/tests/coveragerc -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/tests copying build/lib.linux-x86_64-3.6/astropy/tests/output_checker.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/tests creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/tests/tests copying build/lib.linux-x86_64-3.6/astropy/tests/tests/test_open_file_detection.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/tests/tests copying build/lib.linux-x86_64-3.6/astropy/tests/tests/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/tests/tests copying build/lib.linux-x86_64-3.6/astropy/tests/tests/test_runner.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/tests/tests copying build/lib.linux-x86_64-3.6/astropy/tests/tests/test_skip_remote_data.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/tests/tests copying build/lib.linux-x86_64-3.6/astropy/tests/tests/test_run_tests.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/tests/tests copying build/lib.linux-x86_64-3.6/astropy/tests/tests/test_socketblocker.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/tests/tests creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/tests/tests/data copying build/lib.linux-x86_64-3.6/astropy/tests/tests/data/open_file_detection.txt -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/tests/tests/data copying build/lib.linux-x86_64-3.6/astropy/tests/tests/test_quantity_helpers.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/tests/tests copying build/lib.linux-x86_64-3.6/astropy/tests/tests/test_imports.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/tests/tests copying build/lib.linux-x86_64-3.6/astropy/tests/pytest_plugins.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/tests copying build/lib.linux-x86_64-3.6/astropy/tests/disable_internet.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/tests copying build/lib.linux-x86_64-3.6/astropy/tests/image_tests.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/tests copying build/lib.linux-x86_64-3.6/astropy/tests/setup_package.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/tests creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/cosmology copying build/lib.linux-x86_64-3.6/astropy/cosmology/core.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/cosmology copying build/lib.linux-x86_64-3.6/astropy/cosmology/scalar_inv_efuncs.cpython-36m-x86_64-linux-gnu.so -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/cosmology copying build/lib.linux-x86_64-3.6/astropy/cosmology/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/cosmology copying build/lib.linux-x86_64-3.6/astropy/cosmology/parameters.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/cosmology creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/cosmology/tests copying build/lib.linux-x86_64-3.6/astropy/cosmology/tests/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/cosmology/tests copying build/lib.linux-x86_64-3.6/astropy/cosmology/tests/test_cosmology.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/cosmology/tests copying build/lib.linux-x86_64-3.6/astropy/cosmology/tests/test_pickle.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/cosmology/tests copying build/lib.linux-x86_64-3.6/astropy/cosmology/setup_package.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/cosmology copying build/lib.linux-x86_64-3.6/astropy/cosmology/funcs.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/cosmology creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/modeling copying build/lib.linux-x86_64-3.6/astropy/modeling/core.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/modeling copying build/lib.linux-x86_64-3.6/astropy/modeling/mappings.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/modeling copying build/lib.linux-x86_64-3.6/astropy/modeling/optimizers.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/modeling copying build/lib.linux-x86_64-3.6/astropy/modeling/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/modeling copying build/lib.linux-x86_64-3.6/astropy/modeling/projections.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/modeling copying build/lib.linux-x86_64-3.6/astropy/modeling/functional_models.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/modeling copying build/lib.linux-x86_64-3.6/astropy/modeling/models.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/modeling copying build/lib.linux-x86_64-3.6/astropy/modeling/parameters.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/modeling copying build/lib.linux-x86_64-3.6/astropy/modeling/polynomial.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/modeling creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/modeling/tests copying build/lib.linux-x86_64-3.6/astropy/modeling/tests/test_core.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/modeling/tests copying build/lib.linux-x86_64-3.6/astropy/modeling/tests/test_models.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/modeling/tests copying build/lib.linux-x86_64-3.6/astropy/modeling/tests/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/modeling/tests copying build/lib.linux-x86_64-3.6/astropy/modeling/tests/test_quantities_fitting.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/modeling/tests copying build/lib.linux-x86_64-3.6/astropy/modeling/tests/test_fitters.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/modeling/tests copying build/lib.linux-x86_64-3.6/astropy/modeling/tests/test_projections.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/modeling/tests copying build/lib.linux-x86_64-3.6/astropy/modeling/tests/test_mappings.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/modeling/tests copying build/lib.linux-x86_64-3.6/astropy/modeling/tests/test_compound.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/modeling/tests copying build/lib.linux-x86_64-3.6/astropy/modeling/tests/test_models_quantities.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/modeling/tests copying build/lib.linux-x86_64-3.6/astropy/modeling/tests/test_blackbody.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/modeling/tests copying build/lib.linux-x86_64-3.6/astropy/modeling/tests/test_quantities_model.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/modeling/tests copying build/lib.linux-x86_64-3.6/astropy/modeling/tests/test_polynomial.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/modeling/tests copying build/lib.linux-x86_64-3.6/astropy/modeling/tests/test_quantities_parameters.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/modeling/tests copying build/lib.linux-x86_64-3.6/astropy/modeling/tests/example_models.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/modeling/tests copying build/lib.linux-x86_64-3.6/astropy/modeling/tests/test_input.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/modeling/tests copying build/lib.linux-x86_64-3.6/astropy/modeling/tests/test_rotations.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/modeling/tests copying build/lib.linux-x86_64-3.6/astropy/modeling/tests/test_utils.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/modeling/tests copying build/lib.linux-x86_64-3.6/astropy/modeling/tests/test_parameters.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/modeling/tests copying build/lib.linux-x86_64-3.6/astropy/modeling/tests/utils.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/modeling/tests copying build/lib.linux-x86_64-3.6/astropy/modeling/tests/test_quantities_rotations.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/modeling/tests creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/modeling/tests/data copying build/lib.linux-x86_64-3.6/astropy/modeling/tests/data/hst_sip.hdr -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/modeling/tests/data copying build/lib.linux-x86_64-3.6/astropy/modeling/tests/data/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/modeling/tests/data copying build/lib.linux-x86_64-3.6/astropy/modeling/tests/data/idcompspec.fits -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/modeling/tests/data copying build/lib.linux-x86_64-3.6/astropy/modeling/tests/data/irac_sip.hdr -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/modeling/tests/data copying build/lib.linux-x86_64-3.6/astropy/modeling/tests/data/1904-66_AZP.fits -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/modeling/tests/data copying build/lib.linux-x86_64-3.6/astropy/modeling/tests/test_quantities_evaluation.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/modeling/tests copying build/lib.linux-x86_64-3.6/astropy/modeling/tests/irafutil.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/modeling/tests copying build/lib.linux-x86_64-3.6/astropy/modeling/tests/test_constraints.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/modeling/tests copying build/lib.linux-x86_64-3.6/astropy/modeling/tests/test_functional_models.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/modeling/tests copying build/lib.linux-x86_64-3.6/astropy/modeling/rotations.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/modeling copying build/lib.linux-x86_64-3.6/astropy/modeling/statistic.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/modeling copying build/lib.linux-x86_64-3.6/astropy/modeling/setup_package.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/modeling copying build/lib.linux-x86_64-3.6/astropy/modeling/utils.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/modeling copying build/lib.linux-x86_64-3.6/astropy/modeling/_projections.cpython-36m-x86_64-linux-gnu.so -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/modeling copying build/lib.linux-x86_64-3.6/astropy/modeling/blackbody.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/modeling copying build/lib.linux-x86_64-3.6/astropy/modeling/fitting.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/modeling copying build/lib.linux-x86_64-3.6/astropy/modeling/powerlaws.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/modeling copying build/lib.linux-x86_64-3.6/astropy/modeling/tabular.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/modeling copying build/lib.linux-x86_64-3.6/astropy/conftest.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/samp copying build/lib.linux-x86_64-3.6/astropy/samp/hub.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/samp copying build/lib.linux-x86_64-3.6/astropy/samp/errors.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/samp copying build/lib.linux-x86_64-3.6/astropy/samp/constants.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/samp copying build/lib.linux-x86_64-3.6/astropy/samp/web_profile.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/samp copying build/lib.linux-x86_64-3.6/astropy/samp/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/samp copying build/lib.linux-x86_64-3.6/astropy/samp/client.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/samp copying build/lib.linux-x86_64-3.6/astropy/samp/integrated_client.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/samp creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/samp/tests copying build/lib.linux-x86_64-3.6/astropy/samp/tests/test_client.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/samp/tests copying build/lib.linux-x86_64-3.6/astropy/samp/tests/test_helpers.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/samp/tests copying build/lib.linux-x86_64-3.6/astropy/samp/tests/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/samp/tests copying build/lib.linux-x86_64-3.6/astropy/samp/tests/test_hub.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/samp/tests copying build/lib.linux-x86_64-3.6/astropy/samp/tests/test_hub_script.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/samp/tests copying build/lib.linux-x86_64-3.6/astropy/samp/tests/test_errors.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/samp/tests copying build/lib.linux-x86_64-3.6/astropy/samp/tests/web_profile_test_helpers.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/samp/tests copying build/lib.linux-x86_64-3.6/astropy/samp/tests/test_web_profile.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/samp/tests copying build/lib.linux-x86_64-3.6/astropy/samp/tests/test_standard_profile.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/samp/tests copying build/lib.linux-x86_64-3.6/astropy/samp/tests/test_hub_proxy.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/samp/tests copying build/lib.linux-x86_64-3.6/astropy/samp/setup_package.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/samp copying build/lib.linux-x86_64-3.6/astropy/samp/utils.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/samp copying build/lib.linux-x86_64-3.6/astropy/samp/lockfile_helpers.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/samp copying build/lib.linux-x86_64-3.6/astropy/samp/hub_proxy.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/samp copying build/lib.linux-x86_64-3.6/astropy/samp/standard_profile.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/samp copying build/lib.linux-x86_64-3.6/astropy/samp/hub_script.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/samp creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/samp/data copying build/lib.linux-x86_64-3.6/astropy/samp/data/astropy_icon.png -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/samp/data copying build/lib.linux-x86_64-3.6/astropy/samp/data/clientaccesspolicy.xml -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/samp/data copying build/lib.linux-x86_64-3.6/astropy/samp/data/crossdomain.xml -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/samp/data copying build/lib.linux-x86_64-3.6/astropy/setup_package.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization copying build/lib.linux-x86_64-3.6/astropy/visualization/hist.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization copying build/lib.linux-x86_64-3.6/astropy/visualization/mpl_style.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization copying build/lib.linux-x86_64-3.6/astropy/visualization/lupton_rgb.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization copying build/lib.linux-x86_64-3.6/astropy/visualization/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization copying build/lib.linux-x86_64-3.6/astropy/visualization/units.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization/wcsaxes copying build/lib.linux-x86_64-3.6/astropy/visualization/wcsaxes/core.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization/wcsaxes copying build/lib.linux-x86_64-3.6/astropy/visualization/wcsaxes/axislabels.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization/wcsaxes copying build/lib.linux-x86_64-3.6/astropy/visualization/wcsaxes/coordinate_helpers.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization/wcsaxes copying build/lib.linux-x86_64-3.6/astropy/visualization/wcsaxes/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization/wcsaxes copying build/lib.linux-x86_64-3.6/astropy/visualization/wcsaxes/coordinates_map.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization/wcsaxes copying build/lib.linux-x86_64-3.6/astropy/visualization/wcsaxes/ticks.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization/wcsaxes copying build/lib.linux-x86_64-3.6/astropy/visualization/wcsaxes/frame.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization/wcsaxes copying build/lib.linux-x86_64-3.6/astropy/visualization/wcsaxes/coordinate_range.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization/wcsaxes creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization/wcsaxes/tests copying build/lib.linux-x86_64-3.6/astropy/visualization/wcsaxes/tests/datasets.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization/wcsaxes/tests copying build/lib.linux-x86_64-3.6/astropy/visualization/wcsaxes/tests/test_coordinate_helpers.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization/wcsaxes/tests copying build/lib.linux-x86_64-3.6/astropy/visualization/wcsaxes/tests/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization/wcsaxes/tests copying build/lib.linux-x86_64-3.6/astropy/visualization/wcsaxes/tests/test_transform_coord_meta.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization/wcsaxes/tests copying build/lib.linux-x86_64-3.6/astropy/visualization/wcsaxes/tests/test_frame.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization/wcsaxes/tests copying build/lib.linux-x86_64-3.6/astropy/visualization/wcsaxes/tests/test_transforms.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization/wcsaxes/tests copying build/lib.linux-x86_64-3.6/astropy/visualization/wcsaxes/tests/test_display_world_coordinates.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization/wcsaxes/tests copying build/lib.linux-x86_64-3.6/astropy/visualization/wcsaxes/tests/test_images.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization/wcsaxes/tests copying build/lib.linux-x86_64-3.6/astropy/visualization/wcsaxes/tests/test_utils.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization/wcsaxes/tests copying build/lib.linux-x86_64-3.6/astropy/visualization/wcsaxes/tests/setup_package.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization/wcsaxes/tests copying build/lib.linux-x86_64-3.6/astropy/visualization/wcsaxes/tests/test_misc.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization/wcsaxes/tests copying build/lib.linux-x86_64-3.6/astropy/visualization/wcsaxes/tests/test_formatter_locator.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization/wcsaxes/tests creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization/wcsaxes/tests/data copying build/lib.linux-x86_64-3.6/astropy/visualization/wcsaxes/tests/data/rosat_header -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization/wcsaxes/tests/data copying build/lib.linux-x86_64-3.6/astropy/visualization/wcsaxes/tests/data/msx_header -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization/wcsaxes/tests/data copying build/lib.linux-x86_64-3.6/astropy/visualization/wcsaxes/tests/data/slice_header -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization/wcsaxes/tests/data copying build/lib.linux-x86_64-3.6/astropy/visualization/wcsaxes/tests/data/cube_header -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization/wcsaxes/tests/data copying build/lib.linux-x86_64-3.6/astropy/visualization/wcsaxes/tests/data/2MASS_k_header -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization/wcsaxes/tests/data copying build/lib.linux-x86_64-3.6/astropy/visualization/wcsaxes/patches.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization/wcsaxes copying build/lib.linux-x86_64-3.6/astropy/visualization/wcsaxes/ticklabels.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization/wcsaxes copying build/lib.linux-x86_64-3.6/astropy/visualization/wcsaxes/grid_paths.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization/wcsaxes copying build/lib.linux-x86_64-3.6/astropy/visualization/wcsaxes/formatter_locator.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization/wcsaxes copying build/lib.linux-x86_64-3.6/astropy/visualization/wcsaxes/utils.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization/wcsaxes copying build/lib.linux-x86_64-3.6/astropy/visualization/wcsaxes/transforms.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization/wcsaxes copying build/lib.linux-x86_64-3.6/astropy/visualization/stretch.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization/scripts copying build/lib.linux-x86_64-3.6/astropy/visualization/scripts/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization/scripts copying build/lib.linux-x86_64-3.6/astropy/visualization/scripts/fits2bitmap.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization/scripts creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization/scripts/tests copying build/lib.linux-x86_64-3.6/astropy/visualization/scripts/tests/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization/scripts/tests copying build/lib.linux-x86_64-3.6/astropy/visualization/scripts/tests/test_fits2bitmap.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization/scripts/tests creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization/tests copying build/lib.linux-x86_64-3.6/astropy/visualization/tests/test_norm.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization/tests copying build/lib.linux-x86_64-3.6/astropy/visualization/tests/test_interval.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization/tests copying build/lib.linux-x86_64-3.6/astropy/visualization/tests/test_lupton_rgb.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization/tests copying build/lib.linux-x86_64-3.6/astropy/visualization/tests/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization/tests copying build/lib.linux-x86_64-3.6/astropy/visualization/tests/test_units.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization/tests copying build/lib.linux-x86_64-3.6/astropy/visualization/tests/test_stretch.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization/tests copying build/lib.linux-x86_64-3.6/astropy/visualization/tests/test_histogram.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization/tests copying build/lib.linux-x86_64-3.6/astropy/visualization/transform.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization copying build/lib.linux-x86_64-3.6/astropy/visualization/mpl_normalize.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization copying build/lib.linux-x86_64-3.6/astropy/visualization/interval.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/convolution copying build/lib.linux-x86_64-3.6/astropy/convolution/boundary_none.cpython-36m-x86_64-linux-gnu.so -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/convolution copying build/lib.linux-x86_64-3.6/astropy/convolution/core.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/convolution copying build/lib.linux-x86_64-3.6/astropy/convolution/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/convolution copying build/lib.linux-x86_64-3.6/astropy/convolution/convolve.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/convolution copying build/lib.linux-x86_64-3.6/astropy/convolution/boundary_fill.cpython-36m-x86_64-linux-gnu.so -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/convolution creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/convolution/tests copying build/lib.linux-x86_64-3.6/astropy/convolution/tests/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/convolution/tests copying build/lib.linux-x86_64-3.6/astropy/convolution/tests/test_kernel_class.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/convolution/tests copying build/lib.linux-x86_64-3.6/astropy/convolution/tests/test_convolve_fft.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/convolution/tests copying build/lib.linux-x86_64-3.6/astropy/convolution/tests/test_convolve.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/convolution/tests copying build/lib.linux-x86_64-3.6/astropy/convolution/tests/test_convolve_kernels.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/convolution/tests copying build/lib.linux-x86_64-3.6/astropy/convolution/tests/test_pickle.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/convolution/tests copying build/lib.linux-x86_64-3.6/astropy/convolution/tests/test_discretize.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/convolution/tests copying build/lib.linux-x86_64-3.6/astropy/convolution/tests/test_convolve_nddata.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/convolution/tests copying build/lib.linux-x86_64-3.6/astropy/convolution/tests/test_convolve_models.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/convolution/tests copying build/lib.linux-x86_64-3.6/astropy/convolution/tests/test_convolve_speeds.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/convolution/tests copying build/lib.linux-x86_64-3.6/astropy/convolution/boundary_extend.cpython-36m-x86_64-linux-gnu.so -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/convolution copying build/lib.linux-x86_64-3.6/astropy/convolution/setup_package.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/convolution copying build/lib.linux-x86_64-3.6/astropy/convolution/utils.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/convolution copying build/lib.linux-x86_64-3.6/astropy/convolution/kernels.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/convolution copying build/lib.linux-x86_64-3.6/astropy/convolution/boundary_wrap.cpython-36m-x86_64-linux-gnu.so -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/convolution creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units copying build/lib.linux-x86_64-3.6/astropy/units/core.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units copying build/lib.linux-x86_64-3.6/astropy/units/required_by_vounit.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units copying build/lib.linux-x86_64-3.6/astropy/units/cds.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units copying build/lib.linux-x86_64-3.6/astropy/units/astrophys.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units copying build/lib.linux-x86_64-3.6/astropy/units/equivalencies.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units copying build/lib.linux-x86_64-3.6/astropy/units/si.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units copying build/lib.linux-x86_64-3.6/astropy/units/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units copying build/lib.linux-x86_64-3.6/astropy/units/quantity.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units/format copying build/lib.linux-x86_64-3.6/astropy/units/format/ogip_lextab.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units/format copying build/lib.linux-x86_64-3.6/astropy/units/format/cds.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units/format copying build/lib.linux-x86_64-3.6/astropy/units/format/generic_lextab.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units/format copying build/lib.linux-x86_64-3.6/astropy/units/format/fits.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units/format copying build/lib.linux-x86_64-3.6/astropy/units/format/ogip_parsetab.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units/format copying build/lib.linux-x86_64-3.6/astropy/units/format/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units/format copying build/lib.linux-x86_64-3.6/astropy/units/format/generic_parsetab.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units/format copying build/lib.linux-x86_64-3.6/astropy/units/format/ogip.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units/format copying build/lib.linux-x86_64-3.6/astropy/units/format/cds_parsetab.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units/format copying build/lib.linux-x86_64-3.6/astropy/units/format/unicode_format.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units/format copying build/lib.linux-x86_64-3.6/astropy/units/format/cds_lextab.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units/format copying build/lib.linux-x86_64-3.6/astropy/units/format/console.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units/format copying build/lib.linux-x86_64-3.6/astropy/units/format/vounit.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units/format copying build/lib.linux-x86_64-3.6/astropy/units/format/utils.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units/format copying build/lib.linux-x86_64-3.6/astropy/units/format/latex.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units/format copying build/lib.linux-x86_64-3.6/astropy/units/format/generic.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units/format copying build/lib.linux-x86_64-3.6/astropy/units/format/base.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units/format copying build/lib.linux-x86_64-3.6/astropy/units/quantity_helper.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units copying build/lib.linux-x86_64-3.6/astropy/units/physical.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units/tests copying build/lib.linux-x86_64-3.6/astropy/units/tests/test_quantity_array_methods.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units/tests copying build/lib.linux-x86_64-3.6/astropy/units/tests/py3_test_quantity_annotations.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units/tests copying build/lib.linux-x86_64-3.6/astropy/units/tests/test_quantity_ufuncs.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units/tests copying build/lib.linux-x86_64-3.6/astropy/units/tests/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units/tests copying build/lib.linux-x86_64-3.6/astropy/units/tests/test_units.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units/tests copying build/lib.linux-x86_64-3.6/astropy/units/tests/test_quantity.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units/tests copying build/lib.linux-x86_64-3.6/astropy/units/tests/test_format.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units/tests copying build/lib.linux-x86_64-3.6/astropy/units/tests/test_quantity_decorator.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units/tests copying build/lib.linux-x86_64-3.6/astropy/units/tests/test_equivalencies.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units/tests copying build/lib.linux-x86_64-3.6/astropy/units/tests/test_physical.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units/tests copying build/lib.linux-x86_64-3.6/astropy/units/tests/test_deprecated.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units/tests copying build/lib.linux-x86_64-3.6/astropy/units/tests/test_logarithmic.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units/tests copying build/lib.linux-x86_64-3.6/astropy/units/tests/test_quantity_non_ufuncs.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units/tests copying build/lib.linux-x86_64-3.6/astropy/units/imperial.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units copying build/lib.linux-x86_64-3.6/astropy/units/deprecated.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units copying build/lib.linux-x86_64-3.6/astropy/units/decorators.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units/function copying build/lib.linux-x86_64-3.6/astropy/units/function/core.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units/function copying build/lib.linux-x86_64-3.6/astropy/units/function/logarithmic.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units/function copying build/lib.linux-x86_64-3.6/astropy/units/function/mixin.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units/function copying build/lib.linux-x86_64-3.6/astropy/units/function/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units/function copying build/lib.linux-x86_64-3.6/astropy/units/function/units.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units/function copying build/lib.linux-x86_64-3.6/astropy/units/function/magnitude_zero_points.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units/function copying build/lib.linux-x86_64-3.6/astropy/units/setup_package.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units copying build/lib.linux-x86_64-3.6/astropy/units/cgs.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units copying build/lib.linux-x86_64-3.6/astropy/units/utils.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/extern copying build/lib.linux-x86_64-3.6/astropy/extern/six.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/extern copying build/lib.linux-x86_64-3.6/astropy/extern/configobj.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/extern copying build/lib.linux-x86_64-3.6/astropy/extern/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/extern creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/extern/bundled copying build/lib.linux-x86_64-3.6/astropy/extern/bundled/six.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/extern/bundled copying build/lib.linux-x86_64-3.6/astropy/extern/bundled/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/extern/bundled copying build/lib.linux-x86_64-3.6/astropy/extern/setup_package.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/extern creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates copying build/lib.linux-x86_64-3.6/astropy/coordinates/errors.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates copying build/lib.linux-x86_64-3.6/astropy/coordinates/solar_system.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates copying build/lib.linux-x86_64-3.6/astropy/coordinates/angle_utilities.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates copying build/lib.linux-x86_64-3.6/astropy/coordinates/matching.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates copying build/lib.linux-x86_64-3.6/astropy/coordinates/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates copying build/lib.linux-x86_64-3.6/astropy/coordinates/transformations.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates copying build/lib.linux-x86_64-3.6/astropy/coordinates/angles.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates copying build/lib.linux-x86_64-3.6/astropy/coordinates/name_resolve.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates copying build/lib.linux-x86_64-3.6/astropy/coordinates/sites.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates copying build/lib.linux-x86_64-3.6/astropy/coordinates/baseframe.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates copying build/lib.linux-x86_64-3.6/astropy/coordinates/sky_coordinate.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/tests copying build/lib.linux-x86_64-3.6/astropy/coordinates/tests/test_sky_coord.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/tests copying build/lib.linux-x86_64-3.6/astropy/coordinates/tests/test_funcs.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/tests copying build/lib.linux-x86_64-3.6/astropy/coordinates/tests/test_matrix_utilities.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/tests copying build/lib.linux-x86_64-3.6/astropy/coordinates/tests/test_representation_methods.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/tests copying build/lib.linux-x86_64-3.6/astropy/coordinates/tests/test_skyoffset_transformations.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/tests copying build/lib.linux-x86_64-3.6/astropy/coordinates/tests/test_matching.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/tests copying build/lib.linux-x86_64-3.6/astropy/coordinates/tests/test_regression.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/tests copying build/lib.linux-x86_64-3.6/astropy/coordinates/tests/test_angular_separation.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/tests copying build/lib.linux-x86_64-3.6/astropy/coordinates/tests/test_transformations.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/tests copying build/lib.linux-x86_64-3.6/astropy/coordinates/tests/test_api_ape5.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/tests copying build/lib.linux-x86_64-3.6/astropy/coordinates/tests/test_unit_representation.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/tests copying build/lib.linux-x86_64-3.6/astropy/coordinates/tests/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/tests copying build/lib.linux-x86_64-3.6/astropy/coordinates/tests/test_velocity_corrs.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/tests copying build/lib.linux-x86_64-3.6/astropy/coordinates/tests/test_arrays.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/tests copying build/lib.linux-x86_64-3.6/astropy/coordinates/tests/test_representation_arithmetic.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/tests copying build/lib.linux-x86_64-3.6/astropy/coordinates/tests/test_formatting.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/tests copying build/lib.linux-x86_64-3.6/astropy/coordinates/tests/test_frames.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/tests copying build/lib.linux-x86_64-3.6/astropy/coordinates/tests/test_earth.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/tests copying build/lib.linux-x86_64-3.6/astropy/coordinates/tests/test_solar_system.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/tests copying build/lib.linux-x86_64-3.6/astropy/coordinates/tests/test_finite_difference_velocities.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/tests copying build/lib.linux-x86_64-3.6/astropy/coordinates/tests/test_celestial_transformations.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/tests copying build/lib.linux-x86_64-3.6/astropy/coordinates/tests/test_iau_fullstack.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/tests copying build/lib.linux-x86_64-3.6/astropy/coordinates/tests/test_intermediate_transformations.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/tests copying build/lib.linux-x86_64-3.6/astropy/coordinates/tests/test_sites.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/tests copying build/lib.linux-x86_64-3.6/astropy/coordinates/tests/test_representation.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/tests creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/tests/accuracy copying build/lib.linux-x86_64-3.6/astropy/coordinates/tests/accuracy/galactic_fk4.csv -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/tests/accuracy copying build/lib.linux-x86_64-3.6/astropy/coordinates/tests/accuracy/test_galactic_fk4.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/tests/accuracy copying build/lib.linux-x86_64-3.6/astropy/coordinates/tests/accuracy/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/tests/accuracy copying build/lib.linux-x86_64-3.6/astropy/coordinates/tests/accuracy/icrs_fk5.csv -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/tests/accuracy copying build/lib.linux-x86_64-3.6/astropy/coordinates/tests/accuracy/test_fk4_no_e_fk4.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/tests/accuracy copying build/lib.linux-x86_64-3.6/astropy/coordinates/tests/accuracy/fk4_no_e_fk5.csv -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/tests/accuracy copying build/lib.linux-x86_64-3.6/astropy/coordinates/tests/accuracy/generate_ref_ast.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/tests/accuracy copying build/lib.linux-x86_64-3.6/astropy/coordinates/tests/accuracy/test_altaz_icrs.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/tests/accuracy copying build/lib.linux-x86_64-3.6/astropy/coordinates/tests/accuracy/test_ecliptic.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/tests/accuracy copying build/lib.linux-x86_64-3.6/astropy/coordinates/tests/accuracy/test_icrs_fk5.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/tests/accuracy copying build/lib.linux-x86_64-3.6/astropy/coordinates/tests/accuracy/fk4_no_e_fk4.csv -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/tests/accuracy copying build/lib.linux-x86_64-3.6/astropy/coordinates/tests/accuracy/test_fk4_no_e_fk5.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/tests/accuracy copying build/lib.linux-x86_64-3.6/astropy/coordinates/tests/test_distance.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/tests copying build/lib.linux-x86_64-3.6/astropy/coordinates/tests/test_pickle.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/tests copying build/lib.linux-x86_64-3.6/astropy/coordinates/tests/test_atc_replacements.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/tests copying build/lib.linux-x86_64-3.6/astropy/coordinates/tests/test_shape_manipulation.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/tests copying build/lib.linux-x86_64-3.6/astropy/coordinates/tests/utils.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/tests copying build/lib.linux-x86_64-3.6/astropy/coordinates/tests/test_frames_with_velocity.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/tests copying build/lib.linux-x86_64-3.6/astropy/coordinates/tests/test_name_resolve.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/tests copying build/lib.linux-x86_64-3.6/astropy/coordinates/tests/test_angles.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/tests copying build/lib.linux-x86_64-3.6/astropy/coordinates/angle_lextab.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates copying build/lib.linux-x86_64-3.6/astropy/coordinates/attributes.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates copying build/lib.linux-x86_64-3.6/astropy/coordinates/setup_package.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates copying build/lib.linux-x86_64-3.6/astropy/coordinates/matrix_utilities.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates copying build/lib.linux-x86_64-3.6/astropy/coordinates/angle_parsetab.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/builtin_frames copying build/lib.linux-x86_64-3.6/astropy/coordinates/builtin_frames/hcrs.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/builtin_frames copying build/lib.linux-x86_64-3.6/astropy/coordinates/builtin_frames/galactic_transforms.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/builtin_frames copying build/lib.linux-x86_64-3.6/astropy/coordinates/builtin_frames/skyoffset.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/builtin_frames copying build/lib.linux-x86_64-3.6/astropy/coordinates/builtin_frames/ecliptic.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/builtin_frames copying build/lib.linux-x86_64-3.6/astropy/coordinates/builtin_frames/lsr.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/builtin_frames copying build/lib.linux-x86_64-3.6/astropy/coordinates/builtin_frames/galactocentric.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/builtin_frames copying build/lib.linux-x86_64-3.6/astropy/coordinates/builtin_frames/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/builtin_frames copying build/lib.linux-x86_64-3.6/astropy/coordinates/builtin_frames/icrs_cirs_transforms.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/builtin_frames copying build/lib.linux-x86_64-3.6/astropy/coordinates/builtin_frames/fk5.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/builtin_frames copying build/lib.linux-x86_64-3.6/astropy/coordinates/builtin_frames/galactic.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/builtin_frames copying build/lib.linux-x86_64-3.6/astropy/coordinates/builtin_frames/gcrs.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/builtin_frames copying build/lib.linux-x86_64-3.6/astropy/coordinates/builtin_frames/altaz.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/builtin_frames copying build/lib.linux-x86_64-3.6/astropy/coordinates/builtin_frames/ecliptic_transforms.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/builtin_frames copying build/lib.linux-x86_64-3.6/astropy/coordinates/builtin_frames/cirs_observed_transforms.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/builtin_frames copying build/lib.linux-x86_64-3.6/astropy/coordinates/builtin_frames/supergalactic_transforms.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/builtin_frames copying build/lib.linux-x86_64-3.6/astropy/coordinates/builtin_frames/fk4.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/builtin_frames copying build/lib.linux-x86_64-3.6/astropy/coordinates/builtin_frames/fk4_fk5_transforms.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/builtin_frames copying build/lib.linux-x86_64-3.6/astropy/coordinates/builtin_frames/cirs.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/builtin_frames copying build/lib.linux-x86_64-3.6/astropy/coordinates/builtin_frames/utils.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/builtin_frames copying build/lib.linux-x86_64-3.6/astropy/coordinates/builtin_frames/baseradec.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/builtin_frames copying build/lib.linux-x86_64-3.6/astropy/coordinates/builtin_frames/supergalactic.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/builtin_frames copying build/lib.linux-x86_64-3.6/astropy/coordinates/builtin_frames/icrs_fk5_transforms.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/builtin_frames copying build/lib.linux-x86_64-3.6/astropy/coordinates/builtin_frames/itrs.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/builtin_frames copying build/lib.linux-x86_64-3.6/astropy/coordinates/builtin_frames/intermediate_rotation_transforms.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/builtin_frames copying build/lib.linux-x86_64-3.6/astropy/coordinates/builtin_frames/icrs.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/builtin_frames copying build/lib.linux-x86_64-3.6/astropy/coordinates/earth.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates copying build/lib.linux-x86_64-3.6/astropy/coordinates/representation.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates copying build/lib.linux-x86_64-3.6/astropy/coordinates/orbital_elements.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates copying build/lib.linux-x86_64-3.6/astropy/coordinates/calculation.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates copying build/lib.linux-x86_64-3.6/astropy/coordinates/distances.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/data copying build/lib.linux-x86_64-3.6/astropy/coordinates/data/sites.json -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/data copying build/lib.linux-x86_64-3.6/astropy/coordinates/data/constellation_data_roman87.dat -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/data copying build/lib.linux-x86_64-3.6/astropy/coordinates/data/constellation_names.dat -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/data copying build/lib.linux-x86_64-3.6/astropy/coordinates/earth_orientation.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates copying build/lib.linux-x86_64-3.6/astropy/coordinates/funcs.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/misc copying build/lib.linux-x86_64-3.6/astropy/io/misc/connect.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/misc copying build/lib.linux-x86_64-3.6/astropy/io/misc/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/misc creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/misc/tests copying build/lib.linux-x86_64-3.6/astropy/io/misc/tests/test_hdf5.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/misc/tests copying build/lib.linux-x86_64-3.6/astropy/io/misc/tests/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/misc/tests copying build/lib.linux-x86_64-3.6/astropy/io/misc/tests/test_yaml.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/misc/tests copying build/lib.linux-x86_64-3.6/astropy/io/misc/tests/test_pickle_helpers.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/misc/tests copying build/lib.linux-x86_64-3.6/astropy/io/misc/pickle_helpers.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/misc copying build/lib.linux-x86_64-3.6/astropy/io/misc/yaml.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/misc copying build/lib.linux-x86_64-3.6/astropy/io/misc/hdf5.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/misc copying build/lib.linux-x86_64-3.6/astropy/io/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io copying build/lib.linux-x86_64-3.6/astropy/io/registry.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii copying build/lib.linux-x86_64-3.6/astropy/io/ascii/fixedwidth.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii copying build/lib.linux-x86_64-3.6/astropy/io/ascii/core.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii copying build/lib.linux-x86_64-3.6/astropy/io/ascii/cds.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii copying build/lib.linux-x86_64-3.6/astropy/io/ascii/html.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii copying build/lib.linux-x86_64-3.6/astropy/io/ascii/connect.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii copying build/lib.linux-x86_64-3.6/astropy/io/ascii/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii copying build/lib.linux-x86_64-3.6/astropy/io/ascii/daophot.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii copying build/lib.linux-x86_64-3.6/astropy/io/ascii/ipac.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii copying build/lib.linux-x86_64-3.6/astropy/io/ascii/ecsv.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii copying build/lib.linux-x86_64-3.6/astropy/io/ascii/cparser.cpython-36m-x86_64-linux-gnu.so -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests copying build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/test_html.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests copying build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/test_c_reader.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests copying build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/test_connect.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests copying build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/test_fixedwidth.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests copying build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/test_ecsv.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests copying build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/test_read.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests copying build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/test_write.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests copying build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests copying build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/common.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests copying build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/test_cds_header_from_readme.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests copying build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/test_compressed.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests copying build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/test_rst.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests copying build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/test_types.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t/daophot3.dat -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t/simple.txt -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t/simple2.txt -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t/latex1.tex.gz -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t/cds_malformed.dat -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t/bars_at_ends.txt -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t/short.rdb.xz -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t/sextractor2.dat -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t/latex2.tex -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t/cds.dat -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t/no_data_cds.dat -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t/latex1.tex -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t/simple5.txt -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t/short.tab -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t/vots_spec.dat -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t/html.html -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t/daophot.dat -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t/commented_header.dat -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t/ipac.dat -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t/apostrophe.rdb -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t/nls1_stackinfo.dbout -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t/short.rdb -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t/daophot.dat.gz -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t/latex3.tex -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t/simple_csv.csv -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t/simple_csv_missing.csv -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t/daophot4.dat -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t/daophot2.dat -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t/cds2.dat -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t/fixed_width_2_line.txt -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t/no_data_without_header.dat -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests/t creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests/t/vizier copying build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t/vizier/table5.dat -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests/t/vizier copying build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t/vizier/table1.dat -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests/t/vizier copying build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t/vizier/ReadMe -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests/t/vizier copying build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t/no_data_with_header.dat -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t/fill_values.txt -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t/bad.txt -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t/html2.html -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t/no_data_sextractor.dat -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t/short.rdb.bz2 -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t/space_delim_no_names.dat -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t/sextractor.dat -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t/short.rdb.gz -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t/space_delim_no_header.dat -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t/simple4.txt -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t/no_data_ipac.dat -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t/test5.dat -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t/no_data_daophot.dat -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t/commented_header2.dat -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t/continuation.dat -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t/sextractor3.dat -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t/ipac.dat.xz -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t/ipac.dat.bz2 -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t/test4.dat -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t/simple3.txt -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t/space_delim_blank_lines.txt -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests/t creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests/t/cds creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests/t/cds/description copying build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t/cds/description/table.dat -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests/t/cds/description copying build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t/cds/description/ReadMe -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests/t/cds/description creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests/t/cds/glob copying build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t/cds/glob/lmxbrefs.dat -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests/t/cds/glob copying build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t/cds/glob/ReadMe -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests/t/cds/glob creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests/t/cds/multi copying build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t/cds/multi/lhs2065.dat -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests/t/cds/multi copying build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t/cds/multi/lp944-20.dat -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests/t/cds/multi copying build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t/cds/multi/ReadMe -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests/t/cds/multi copying build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t/apostrophe.tab -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/t/whitespace.dat -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-3.6/astropy/io/ascii/tests/test_ipac_definitions.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests copying build/lib.linux-x86_64-3.6/astropy/io/ascii/sextractor.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii copying build/lib.linux-x86_64-3.6/astropy/io/ascii/setup_package.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii copying build/lib.linux-x86_64-3.6/astropy/io/ascii/latex.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii copying build/lib.linux-x86_64-3.6/astropy/io/ascii/misc.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii copying build/lib.linux-x86_64-3.6/astropy/io/ascii/fastbasic.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii copying build/lib.linux-x86_64-3.6/astropy/io/ascii/basic.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii copying build/lib.linux-x86_64-3.6/astropy/io/ascii/rst.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii copying build/lib.linux-x86_64-3.6/astropy/io/ascii/ui.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/tests copying build/lib.linux-x86_64-3.6/astropy/io/tests/test_registry.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/tests copying build/lib.linux-x86_64-3.6/astropy/io/tests/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/tests creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/votable copying build/lib.linux-x86_64-3.6/astropy/io/votable/tree.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/votable copying build/lib.linux-x86_64-3.6/astropy/io/votable/table.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/votable copying build/lib.linux-x86_64-3.6/astropy/io/votable/volint.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/votable copying build/lib.linux-x86_64-3.6/astropy/io/votable/xmlutil.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/votable copying build/lib.linux-x86_64-3.6/astropy/io/votable/connect.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/votable copying build/lib.linux-x86_64-3.6/astropy/io/votable/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/votable copying build/lib.linux-x86_64-3.6/astropy/io/votable/tablewriter.cpython-36m-x86_64-linux-gnu.so -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/votable copying build/lib.linux-x86_64-3.6/astropy/io/votable/ucd.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/votable copying build/lib.linux-x86_64-3.6/astropy/io/votable/exceptions.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/votable creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/votable/tests copying build/lib.linux-x86_64-3.6/astropy/io/votable/tests/exception_test.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/votable/tests copying build/lib.linux-x86_64-3.6/astropy/io/votable/tests/util_test.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/votable/tests copying build/lib.linux-x86_64-3.6/astropy/io/votable/tests/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/votable/tests copying build/lib.linux-x86_64-3.6/astropy/io/votable/tests/tree_test.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/votable/tests copying build/lib.linux-x86_64-3.6/astropy/io/votable/tests/ucd_test.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/votable/tests copying build/lib.linux-x86_64-3.6/astropy/io/votable/tests/converter_test.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/votable/tests copying build/lib.linux-x86_64-3.6/astropy/io/votable/tests/vo_test.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/votable/tests copying build/lib.linux-x86_64-3.6/astropy/io/votable/tests/table_test.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/votable/tests creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/votable/tests/data copying build/lib.linux-x86_64-3.6/astropy/io/votable/tests/data/names.xml -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/votable/tests/data copying build/lib.linux-x86_64-3.6/astropy/io/votable/tests/data/gemini.xml -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/votable/tests/data copying build/lib.linux-x86_64-3.6/astropy/io/votable/tests/data/empty_table.xml -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/votable/tests/data copying build/lib.linux-x86_64-3.6/astropy/io/votable/tests/data/irsa-nph-m31.xml -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/votable/tests/data copying build/lib.linux-x86_64-3.6/astropy/io/votable/tests/data/nonstandard_units.xml -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/votable/tests/data copying build/lib.linux-x86_64-3.6/astropy/io/votable/tests/data/no_resource.xml -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/votable/tests/data copying build/lib.linux-x86_64-3.6/astropy/io/votable/tests/data/no_resource.txt -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/votable/tests/data copying build/lib.linux-x86_64-3.6/astropy/io/votable/tests/data/tb.fits -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/votable/tests/data copying build/lib.linux-x86_64-3.6/astropy/io/votable/tests/data/irsa-nph-error.xml -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/votable/tests/data copying build/lib.linux-x86_64-3.6/astropy/io/votable/tests/data/custom_datatype.xml -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/votable/tests/data copying build/lib.linux-x86_64-3.6/astropy/io/votable/tests/data/regression.xml -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/votable/tests/data copying build/lib.linux-x86_64-3.6/astropy/io/votable/tests/data/validation.txt -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/votable/tests/data copying build/lib.linux-x86_64-3.6/astropy/io/votable/tests/data/regression.bin.tabledata.truth.1.3.xml -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/votable/tests/data copying build/lib.linux-x86_64-3.6/astropy/io/votable/tests/data/regression.bin.tabledata.truth.1.1.xml -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/votable/tests/data copying build/lib.linux-x86_64-3.6/astropy/io/votable/tests/data/too_many_columns.xml.gz -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/votable/tests/data creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/votable/validator copying build/lib.linux-x86_64-3.6/astropy/io/votable/validator/html.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/votable/validator copying build/lib.linux-x86_64-3.6/astropy/io/votable/validator/result.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/votable/validator copying build/lib.linux-x86_64-3.6/astropy/io/votable/validator/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/votable/validator copying build/lib.linux-x86_64-3.6/astropy/io/votable/validator/main.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/votable/validator creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/votable/validator/urls copying build/lib.linux-x86_64-3.6/astropy/io/votable/validator/urls/cone.broken.dat.gz -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/votable/validator/urls copying build/lib.linux-x86_64-3.6/astropy/io/votable/validator/urls/cone.big.dat.gz -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/votable/validator/urls copying build/lib.linux-x86_64-3.6/astropy/io/votable/validator/urls/cone.incorrect.dat.gz -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/votable/validator/urls copying build/lib.linux-x86_64-3.6/astropy/io/votable/validator/urls/cone.good.dat.gz -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/votable/validator/urls copying build/lib.linux-x86_64-3.6/astropy/io/votable/setup_package.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/votable copying build/lib.linux-x86_64-3.6/astropy/io/votable/util.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/votable creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/votable/data copying build/lib.linux-x86_64-3.6/astropy/io/votable/data/VOTable.v1.1.xsd -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/votable/data copying build/lib.linux-x86_64-3.6/astropy/io/votable/data/VOTable.dtd -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/votable/data copying build/lib.linux-x86_64-3.6/astropy/io/votable/data/ucd1p-words.txt -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/votable/data copying build/lib.linux-x86_64-3.6/astropy/io/votable/data/VOTable.v1.3.xsd -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/votable/data copying build/lib.linux-x86_64-3.6/astropy/io/votable/data/VOTable.v1.2.xsd -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/votable/data copying build/lib.linux-x86_64-3.6/astropy/io/votable/converters.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/votable copying build/lib.linux-x86_64-3.6/astropy/io/setup_package.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits copying build/lib.linux-x86_64-3.6/astropy/io/fits/fitsrec.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits copying build/lib.linux-x86_64-3.6/astropy/io/fits/file.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits copying build/lib.linux-x86_64-3.6/astropy/io/fits/verify.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits copying build/lib.linux-x86_64-3.6/astropy/io/fits/convenience.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits/hdu copying build/lib.linux-x86_64-3.6/astropy/io/fits/hdu/table.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits/hdu copying build/lib.linux-x86_64-3.6/astropy/io/fits/hdu/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits/hdu copying build/lib.linux-x86_64-3.6/astropy/io/fits/hdu/groups.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits/hdu copying build/lib.linux-x86_64-3.6/astropy/io/fits/hdu/compressed.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits/hdu copying build/lib.linux-x86_64-3.6/astropy/io/fits/hdu/hdulist.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits/hdu copying build/lib.linux-x86_64-3.6/astropy/io/fits/hdu/image.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits/hdu copying build/lib.linux-x86_64-3.6/astropy/io/fits/hdu/nonstandard.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits/hdu copying build/lib.linux-x86_64-3.6/astropy/io/fits/hdu/streaming.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits/hdu copying build/lib.linux-x86_64-3.6/astropy/io/fits/hdu/base.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits/hdu copying build/lib.linux-x86_64-3.6/astropy/io/fits/connect.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits copying build/lib.linux-x86_64-3.6/astropy/io/fits/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits copying build/lib.linux-x86_64-3.6/astropy/io/fits/diff.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits copying build/lib.linux-x86_64-3.6/astropy/io/fits/column.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits copying build/lib.linux-x86_64-3.6/astropy/io/fits/compression.cpython-36m-x86_64-linux-gnu.so -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits/scripts copying build/lib.linux-x86_64-3.6/astropy/io/fits/scripts/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits/scripts copying build/lib.linux-x86_64-3.6/astropy/io/fits/scripts/fitsdiff.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits/scripts copying build/lib.linux-x86_64-3.6/astropy/io/fits/scripts/fitsheader.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits/scripts copying build/lib.linux-x86_64-3.6/astropy/io/fits/scripts/fitsinfo.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits/scripts copying build/lib.linux-x86_64-3.6/astropy/io/fits/scripts/fitscheck.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits/scripts creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits/tests copying build/lib.linux-x86_64-3.6/astropy/io/fits/tests/test_core.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits/tests copying build/lib.linux-x86_64-3.6/astropy/io/fits/tests/test_division.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits/tests copying build/lib.linux-x86_64-3.6/astropy/io/fits/tests/test_connect.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits/tests copying build/lib.linux-x86_64-3.6/astropy/io/fits/tests/test_nonstandard.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits/tests copying build/lib.linux-x86_64-3.6/astropy/io/fits/tests/test_hdulist.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits/tests copying build/lib.linux-x86_64-3.6/astropy/io/fits/tests/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits/tests copying build/lib.linux-x86_64-3.6/astropy/io/fits/tests/test_structured.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits/tests copying build/lib.linux-x86_64-3.6/astropy/io/fits/tests/test_image.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits/tests copying build/lib.linux-x86_64-3.6/astropy/io/fits/tests/test_util.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits/tests copying build/lib.linux-x86_64-3.6/astropy/io/fits/tests/test_checksum.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits/tests copying build/lib.linux-x86_64-3.6/astropy/io/fits/tests/test_convenience.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits/tests copying build/lib.linux-x86_64-3.6/astropy/io/fits/tests/test_header.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits/tests copying build/lib.linux-x86_64-3.6/astropy/io/fits/tests/test_uint.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits/tests copying build/lib.linux-x86_64-3.6/astropy/io/fits/tests/test_groups.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits/tests copying build/lib.linux-x86_64-3.6/astropy/io/fits/tests/test_diff.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits/tests copying build/lib.linux-x86_64-3.6/astropy/io/fits/tests/test_table.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits/tests copying build/lib.linux-x86_64-3.6/astropy/io/fits/tests/test_fitsdiff.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits/tests creating /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits/tests/data copying build/lib.linux-x86_64-3.6/astropy/io/fits/tests/data/test0.fits -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits/tests/data copying build/lib.linux-x86_64-3.6/astropy/io/fits/tests/data/zerowidth.fits -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits/tests/data copying build/lib.linux-x86_64-3.6/astropy/io/fits/tests/data/ascii.fits -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits/tests/data copying build/lib.linux-x86_64-3.6/astropy/io/fits/tests/data/arange.fits -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits/tests/data copying build/lib.linux-x86_64-3.6/astropy/io/fits/tests/data/memtest.fits -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits/tests/data copying build/lib.linux-x86_64-3.6/astropy/io/fits/tests/data/fixed-1890.fits -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits/tests/data copying build/lib.linux-x86_64-3.6/astropy/io/fits/tests/data/comp.fits -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits/tests/data copying build/lib.linux-x86_64-3.6/astropy/io/fits/tests/data/checksum.fits -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits/tests/data copying build/lib.linux-x86_64-3.6/astropy/io/fits/tests/data/tb.fits -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits/tests/data copying build/lib.linux-x86_64-3.6/astropy/io/fits/tests/data/random_groups.fits -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits/tests/data copying build/lib.linux-x86_64-3.6/astropy/io/fits/tests/data/scale.fits -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits/tests/data copying build/lib.linux-x86_64-3.6/astropy/io/fits/tests/data/blank.fits -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits/tests/data copying build/lib.linux-x86_64-3.6/astropy/io/fits/tests/data/o4sp040b0_raw.fits -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits/tests/data copying build/lib.linux-x86_64-3.6/astropy/io/fits/tests/data/compressed_float_bzero.fits -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits/tests/data copying build/lib.linux-x86_64-3.6/astropy/io/fits/tests/data/stddata.fits -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits/tests/data copying build/lib.linux-x86_64-3.6/astropy/io/fits/tests/data/tdim.fits -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits/tests/data copying build/lib.linux-x86_64-3.6/astropy/io/fits/tests/data/table.fits -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits/tests/data copying build/lib.linux-x86_64-3.6/astropy/io/fits/card.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits copying build/lib.linux-x86_64-3.6/astropy/io/fits/setup_package.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits copying build/lib.linux-x86_64-3.6/astropy/io/fits/util.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits copying build/lib.linux-x86_64-3.6/astropy/io/fits/py3compat.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits copying build/lib.linux-x86_64-3.6/astropy/io/fits/_numpy_hacks.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits copying build/lib.linux-x86_64-3.6/astropy/io/fits/header.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/stats/circstats.py to circstats.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/stats/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/stats/bayesian_blocks.py to bayesian_blocks.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/stats/lombscargle/core.py to core.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/stats/lombscargle/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/stats/lombscargle/implementations/slow_impl.py to slow_impl.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/stats/lombscargle/implementations/chi2_impl.py to chi2_impl.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/stats/lombscargle/implementations/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/stats/lombscargle/implementations/main.py to main.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/stats/lombscargle/implementations/fast_impl.py to fast_impl.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/stats/lombscargle/implementations/mle.py to mle.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/stats/lombscargle/implementations/fastchi2_impl.py to fastchi2_impl.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/stats/lombscargle/implementations/tests/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/stats/lombscargle/implementations/tests/test_mle.py to test_mle.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/stats/lombscargle/implementations/tests/test_utils.py to test_utils.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/stats/lombscargle/implementations/scipy_impl.py to scipy_impl.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/stats/lombscargle/implementations/utils.py to utils.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/stats/lombscargle/tests/test_lombscargle.py to test_lombscargle.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/stats/lombscargle/tests/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/stats/tests/test_funcs.py to test_funcs.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/stats/tests/test_circstats.py to test_circstats.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/stats/tests/test_spatial.py to test_spatial.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/stats/tests/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/stats/tests/test_biweight.py to test_biweight.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/stats/tests/test_bayesian_blocks.py to test_bayesian_blocks.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/stats/tests/test_histogram.py to test_histogram.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/stats/tests/test_jackknife.py to test_jackknife.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/stats/tests/test_info_theory.py to test_info_theory.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/stats/tests/test_sigma_clipping.py to test_sigma_clipping.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/stats/info_theory.py to info_theory.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/stats/spatial.py to spatial.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/stats/setup_package.py to setup_package.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/stats/biweight.py to biweight.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/stats/histogram.py to histogram.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/stats/jackknife.py to jackknife.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/stats/sigma_clipping.py to sigma_clipping.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/stats/funcs.py to funcs.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/metadata.py to metadata.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/introspection.py to introspection.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/data.py to data.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/xml/writer.py to writer.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/xml/check.py to check.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/xml/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/xml/unescaper.py to unescaper.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/xml/validate.py to validate.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/xml/tests/test_iterparse.py to test_iterparse.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/xml/tests/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/xml/iterparser.py to iterparser.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/xml/setup_package.py to setup_package.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/codegen.py to codegen.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/compat/numpycompat.py to numpycompat.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/compat/numpy/core/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/compat/numpy/core/multiarray.py to multiarray.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/compat/numpy/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/compat/numpy/tests/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/compat/numpy/tests/test_broadcast_arrays.py to test_broadcast_arrays.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/compat/numpy/tests/test_matmul.py to test_matmul.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/compat/numpy/lib/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/compat/numpy/lib/stride_tricks.py to stride_tricks.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/compat/funcsigs.py to funcsigs.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/compat/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/compat/_funcsigs.py to _funcsigs.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/compat/futures/_base.py to _base.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/compat/futures/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/compat/futures/process.py to process.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/compat/futures/thread.py to thread.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/compat/misc.py to misc.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/timer.py to timer.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/state.py to state.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/console.py to console.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/exceptions.py to exceptions.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/tests/test_timer.py to test_timer.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/tests/test_decorators.py to test_decorators.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/tests/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/tests/test_xml.py to test_xml.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/tests/test_data.py to test_data.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/tests/test_metadata.py to test_metadata.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/tests/test_data_info.py to test_data_info.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/tests/test_introspection.py to test_introspection.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/tests/test_console.py to test_console.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/tests/test_misc.py to test_misc.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/tests/test_codegen.py to test_codegen.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/tests/data/test_package/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/tests/test_collections.py to test_collections.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/iers/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/iers/iers.py to iers.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/iers/tests/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/iers/tests/test_iers.py to test_iers.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/decorators.py to decorators.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/setup_package.py to setup_package.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/collections.py to collections.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/data_info.py to data_info.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/misc.py to misc.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/utils/argparse.py to argparse.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/version.py to version.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/nddata/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/nddata/flag_collection.py to flag_collection.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/nddata/tests/test_decorators.py to test_decorators.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/nddata/tests/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/nddata/tests/test_flag_collection.py to test_flag_collection.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/nddata/tests/test_nddata.py to test_nddata.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/nddata/tests/test_ccddata.py to test_ccddata.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/nddata/tests/test_nddata_base.py to test_nddata_base.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/nddata/tests/test_utils.py to test_utils.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/nddata/tests/test_compat.py to test_compat.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/nddata/tests/test_nduncertainty.py to test_nduncertainty.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/nddata/nddata_withmixins.py to nddata_withmixins.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/nddata/nddata_base.py to nddata_base.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/nddata/decorators.py to decorators.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/nddata/nduncertainty.py to nduncertainty.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/nddata/setup_package.py to setup_package.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/nddata/ccddata.py to ccddata.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/nddata/mixins/ndarithmetic.py to ndarithmetic.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/nddata/mixins/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/nddata/mixins/tests/test_ndslicing.py to test_ndslicing.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/nddata/mixins/tests/test_ndio.py to test_ndio.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/nddata/mixins/tests/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/nddata/mixins/tests/test_ndarithmetic.py to test_ndarithmetic.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/nddata/mixins/ndslicing.py to ndslicing.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/nddata/mixins/ndio.py to ndio.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/nddata/utils.py to utils.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/nddata/nddata.py to nddata.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/nddata/compat.py to compat.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/wcs.py to wcs.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/_docutil.py to _docutil.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/wcslint.py to wcslint.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/tests/extension/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/tests/extension/test_extension.py to test_extension.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/tests/extension/setup.py to setup.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/tests/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/tests/test_wcs.py to test_wcs.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/tests/test_pickle.py to test_pickle.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/tests/test_utils.py to test_utils.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/tests/test_profiling.py to test_profiling.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/tests/test_wcsprm.py to test_wcsprm.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/setup_package.py to setup_package.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/docstrings.py to docstrings.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/wcs/utils.py to utils.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/analytic_functions/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/analytic_functions/tests/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/analytic_functions/tests/test_blackbody.py to test_blackbody.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/analytic_functions/blackbody.py to blackbody.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/cython_version.py to cython_version.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/config/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/config/tests/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/config/tests/test_configs.py to test_configs.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/config/setup_package.py to setup_package.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/config/paths.py to paths.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/config/configuration.py to configuration.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/config/affiliated.py to affiliated.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/_erfa/core.py to core.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/_erfa/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/_erfa/tests/test_erfa.py to test_erfa.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/_erfa/tests/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/_erfa/setup_package.py to setup_package.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/_erfa/erfa_generator.py to erfa_generator.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/vo/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/vo/validator/inspect.py to inspect.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/vo/validator/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/vo/validator/exceptions.py to exceptions.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/vo/validator/validate.py to validate.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/vo/validator/tests/test_validate.py to test_validate.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/vo/validator/tests/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/vo/validator/tests/test_inpect.py to test_inpect.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/vo/validator/setup_package.py to setup_package.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/vo/validator/tstquery.py to tstquery.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/vo/samp/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/vo/client/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/vo/client/exceptions.py to exceptions.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/vo/client/tests/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/vo/client/tests/test_conesearch.py to test_conesearch.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/vo/client/tests/test_vos_catalog.py to test_vos_catalog.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/vo/client/setup_package.py to setup_package.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/vo/client/conesearch.py to conesearch.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/vo/client/async.py to async.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/vo/client/vos_catalog.py to vos_catalog.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/time/core.py to core.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/time/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/time/tests/test_methods.py to test_methods.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/time/tests/test_guess.py to test_guess.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/time/tests/test_ut1.py to test_ut1.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/time/tests/test_delta.py to test_delta.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/time/tests/test_comparisons.py to test_comparisons.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/time/tests/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/time/tests/test_basic.py to test_basic.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/time/tests/test_quantity_interaction.py to test_quantity_interaction.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/time/tests/test_pickle.py to test_pickle.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/time/tests/test_corrs.py to test_corrs.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/time/tests/test_precision.py to test_precision.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/time/tests/test_sidereal.py to test_sidereal.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/time/setup_package.py to setup_package.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/time/utils.py to utils.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/time/formats.py to formats.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/table/table.py to table.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/table/info.py to info.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/table/sorted_array.py to sorted_array.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/table/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/table/jsviewer.py to jsviewer.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/table/groups.py to groups.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/table/column.py to column.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/table/meta.py to meta.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/table/operations.py to operations.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/table/serialize.py to serialize.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/table/table_helpers.py to table_helpers.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/table/pprint.py to pprint.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/table/row.py to row.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/table/tests/test_array.py to test_array.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/table/tests/test_column.py to test_column.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/table/tests/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/table/tests/test_np_utils.py to test_np_utils.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/table/tests/test_mixin.py to test_mixin.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/table/tests/test_jsviewer.py to test_jsviewer.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/table/tests/test_row.py to test_row.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/table/tests/test_bst.py to test_bst.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/table/tests/test_init_table.py to test_init_table.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/table/tests/test_masked.py to test_masked.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/table/tests/test_pickle.py to test_pickle.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/table/tests/conftest.py to conftest.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/table/tests/test_index.py to test_index.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/table/tests/test_operations.py to test_operations.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/table/tests/test_subclass.py to test_subclass.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/table/tests/test_info.py to test_info.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/table/tests/test_groups.py to test_groups.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/table/tests/test_pprint.py to test_pprint.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/table/tests/test_table.py to test_table.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/table/tests/test_item_access.py to test_item_access.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/table/np_utils.py to np_utils.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/table/setup_package.py to setup_package.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/table/index.py to index.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/table/bst.py to bst.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/constants/astropyconst13.py to astropyconst13.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/constants/si.py to si.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/constants/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/constants/constant.py to constant.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/constants/codata2010.py to codata2010.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/constants/tests/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/constants/tests/test_constant.py to test_constant.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/constants/tests/test_prior_version.py to test_prior_version.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/constants/tests/test_pickle.py to test_pickle.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/constants/iau2012.py to iau2012.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/constants/setup_package.py to setup_package.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/constants/cgs.py to cgs.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/constants/iau2015.py to iau2015.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/constants/astropyconst20.py to astropyconst20.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/constants/codata2014.py to codata2014.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/logger.py to logger.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/tests/command.py to command.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/tests/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/tests/test_logger.py to test_logger.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/tests/runner.py to runner.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/tests/helper.py to helper.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/tests/output_checker.py to output_checker.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/tests/tests/test_open_file_detection.py to test_open_file_detection.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/tests/tests/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/tests/tests/test_runner.py to test_runner.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/tests/tests/test_skip_remote_data.py to test_skip_remote_data.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/tests/tests/test_run_tests.py to test_run_tests.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/tests/tests/test_socketblocker.py to test_socketblocker.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/tests/tests/test_quantity_helpers.py to test_quantity_helpers.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/tests/tests/test_imports.py to test_imports.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/tests/pytest_plugins.py to pytest_plugins.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/tests/disable_internet.py to disable_internet.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/tests/image_tests.py to image_tests.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/tests/setup_package.py to setup_package.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/cosmology/core.py to core.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/cosmology/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/cosmology/parameters.py to parameters.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/cosmology/tests/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/cosmology/tests/test_cosmology.py to test_cosmology.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/cosmology/tests/test_pickle.py to test_pickle.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/cosmology/setup_package.py to setup_package.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/cosmology/funcs.py to funcs.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/modeling/core.py to core.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/modeling/mappings.py to mappings.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/modeling/optimizers.py to optimizers.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/modeling/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/modeling/projections.py to projections.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/modeling/functional_models.py to functional_models.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/modeling/models.py to models.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/modeling/parameters.py to parameters.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/modeling/polynomial.py to polynomial.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/modeling/tests/test_core.py to test_core.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/modeling/tests/test_models.py to test_models.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/modeling/tests/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/modeling/tests/test_quantities_fitting.py to test_quantities_fitting.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/modeling/tests/test_fitters.py to test_fitters.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/modeling/tests/test_projections.py to test_projections.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/modeling/tests/test_mappings.py to test_mappings.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/modeling/tests/test_compound.py to test_compound.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/modeling/tests/test_models_quantities.py to test_models_quantities.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/modeling/tests/test_blackbody.py to test_blackbody.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/modeling/tests/test_quantities_model.py to test_quantities_model.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/modeling/tests/test_polynomial.py to test_polynomial.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/modeling/tests/test_quantities_parameters.py to test_quantities_parameters.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/modeling/tests/example_models.py to example_models.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/modeling/tests/test_input.py to test_input.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/modeling/tests/test_rotations.py to test_rotations.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/modeling/tests/test_utils.py to test_utils.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/modeling/tests/test_parameters.py to test_parameters.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/modeling/tests/utils.py to utils.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/modeling/tests/test_quantities_rotations.py to test_quantities_rotations.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/modeling/tests/data/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/modeling/tests/test_quantities_evaluation.py to test_quantities_evaluation.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/modeling/tests/irafutil.py to irafutil.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/modeling/tests/test_constraints.py to test_constraints.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/modeling/tests/test_functional_models.py to test_functional_models.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/modeling/rotations.py to rotations.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/modeling/statistic.py to statistic.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/modeling/setup_package.py to setup_package.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/modeling/utils.py to utils.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/modeling/blackbody.py to blackbody.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/modeling/fitting.py to fitting.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/modeling/powerlaws.py to powerlaws.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/modeling/tabular.py to tabular.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/conftest.py to conftest.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/samp/hub.py to hub.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/samp/errors.py to errors.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/samp/constants.py to constants.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/samp/web_profile.py to web_profile.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/samp/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/samp/client.py to client.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/samp/integrated_client.py to integrated_client.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/samp/tests/test_client.py to test_client.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/samp/tests/test_helpers.py to test_helpers.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/samp/tests/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/samp/tests/test_hub.py to test_hub.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/samp/tests/test_hub_script.py to test_hub_script.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/samp/tests/test_errors.py to test_errors.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/samp/tests/web_profile_test_helpers.py to web_profile_test_helpers.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/samp/tests/test_web_profile.py to test_web_profile.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/samp/tests/test_standard_profile.py to test_standard_profile.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/samp/tests/test_hub_proxy.py to test_hub_proxy.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/samp/setup_package.py to setup_package.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/samp/utils.py to utils.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/samp/lockfile_helpers.py to lockfile_helpers.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/samp/hub_proxy.py to hub_proxy.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/samp/standard_profile.py to standard_profile.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/samp/hub_script.py to hub_script.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/setup_package.py to setup_package.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization/hist.py to hist.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization/mpl_style.py to mpl_style.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization/lupton_rgb.py to lupton_rgb.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization/units.py to units.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization/wcsaxes/core.py to core.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization/wcsaxes/axislabels.py to axislabels.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization/wcsaxes/coordinate_helpers.py to coordinate_helpers.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization/wcsaxes/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization/wcsaxes/coordinates_map.py to coordinates_map.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization/wcsaxes/ticks.py to ticks.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization/wcsaxes/frame.py to frame.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization/wcsaxes/coordinate_range.py to coordinate_range.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization/wcsaxes/tests/datasets.py to datasets.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization/wcsaxes/tests/test_coordinate_helpers.py to test_coordinate_helpers.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization/wcsaxes/tests/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization/wcsaxes/tests/test_transform_coord_meta.py to test_transform_coord_meta.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization/wcsaxes/tests/test_frame.py to test_frame.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization/wcsaxes/tests/test_transforms.py to test_transforms.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization/wcsaxes/tests/test_display_world_coordinates.py to test_display_world_coordinates.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization/wcsaxes/tests/test_images.py to test_images.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization/wcsaxes/tests/test_utils.py to test_utils.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization/wcsaxes/tests/setup_package.py to setup_package.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization/wcsaxes/tests/test_misc.py to test_misc.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization/wcsaxes/tests/test_formatter_locator.py to test_formatter_locator.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization/wcsaxes/patches.py to patches.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization/wcsaxes/ticklabels.py to ticklabels.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization/wcsaxes/grid_paths.py to grid_paths.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization/wcsaxes/formatter_locator.py to formatter_locator.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization/wcsaxes/utils.py to utils.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization/wcsaxes/transforms.py to transforms.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization/stretch.py to stretch.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization/scripts/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization/scripts/fits2bitmap.py to fits2bitmap.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization/scripts/tests/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization/scripts/tests/test_fits2bitmap.py to test_fits2bitmap.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization/tests/test_norm.py to test_norm.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization/tests/test_interval.py to test_interval.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization/tests/test_lupton_rgb.py to test_lupton_rgb.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization/tests/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization/tests/test_units.py to test_units.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization/tests/test_stretch.py to test_stretch.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization/tests/test_histogram.py to test_histogram.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization/transform.py to transform.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization/mpl_normalize.py to mpl_normalize.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/visualization/interval.py to interval.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/convolution/core.py to core.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/convolution/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/convolution/convolve.py to convolve.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/convolution/tests/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/convolution/tests/test_kernel_class.py to test_kernel_class.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/convolution/tests/test_convolve_fft.py to test_convolve_fft.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/convolution/tests/test_convolve.py to test_convolve.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/convolution/tests/test_convolve_kernels.py to test_convolve_kernels.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/convolution/tests/test_pickle.py to test_pickle.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/convolution/tests/test_discretize.py to test_discretize.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/convolution/tests/test_convolve_nddata.py to test_convolve_nddata.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/convolution/tests/test_convolve_models.py to test_convolve_models.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/convolution/tests/test_convolve_speeds.py to test_convolve_speeds.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/convolution/setup_package.py to setup_package.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/convolution/utils.py to utils.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/convolution/kernels.py to kernels.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units/core.py to core.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units/required_by_vounit.py to required_by_vounit.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units/cds.py to cds.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units/astrophys.py to astrophys.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units/equivalencies.py to equivalencies.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units/si.py to si.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units/quantity.py to quantity.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units/format/ogip_lextab.py to ogip_lextab.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units/format/cds.py to cds.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units/format/generic_lextab.py to generic_lextab.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units/format/fits.py to fits.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units/format/ogip_parsetab.py to ogip_parsetab.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units/format/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units/format/generic_parsetab.py to generic_parsetab.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units/format/ogip.py to ogip.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units/format/cds_parsetab.py to cds_parsetab.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units/format/unicode_format.py to unicode_format.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units/format/cds_lextab.py to cds_lextab.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units/format/console.py to console.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units/format/vounit.py to vounit.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units/format/utils.py to utils.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units/format/latex.py to latex.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units/format/generic.py to generic.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units/format/base.py to base.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units/quantity_helper.py to quantity_helper.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units/physical.py to physical.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units/tests/test_quantity_array_methods.py to test_quantity_array_methods.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units/tests/py3_test_quantity_annotations.py to py3_test_quantity_annotations.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units/tests/test_quantity_ufuncs.py to test_quantity_ufuncs.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units/tests/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units/tests/test_units.py to test_units.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units/tests/test_quantity.py to test_quantity.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units/tests/test_format.py to test_format.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units/tests/test_quantity_decorator.py to test_quantity_decorator.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units/tests/test_equivalencies.py to test_equivalencies.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units/tests/test_physical.py to test_physical.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units/tests/test_deprecated.py to test_deprecated.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units/tests/test_logarithmic.py to test_logarithmic.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units/tests/test_quantity_non_ufuncs.py to test_quantity_non_ufuncs.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units/imperial.py to imperial.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units/deprecated.py to deprecated.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units/decorators.py to decorators.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units/function/core.py to core.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units/function/logarithmic.py to logarithmic.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units/function/mixin.py to mixin.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units/function/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units/function/units.py to units.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units/function/magnitude_zero_points.py to magnitude_zero_points.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units/setup_package.py to setup_package.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units/cgs.py to cgs.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/units/utils.py to utils.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/extern/six.py to six.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/extern/configobj.py to configobj.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/extern/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/extern/bundled/six.py to six.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/extern/bundled/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/extern/setup_package.py to setup_package.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/errors.py to errors.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/solar_system.py to solar_system.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/angle_utilities.py to angle_utilities.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/matching.py to matching.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/transformations.py to transformations.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/angles.py to angles.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/name_resolve.py to name_resolve.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/sites.py to sites.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/baseframe.py to baseframe.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/sky_coordinate.py to sky_coordinate.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/tests/test_sky_coord.py to test_sky_coord.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/tests/test_funcs.py to test_funcs.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/tests/test_matrix_utilities.py to test_matrix_utilities.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/tests/test_representation_methods.py to test_representation_methods.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/tests/test_skyoffset_transformations.py to test_skyoffset_transformations.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/tests/test_matching.py to test_matching.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/tests/test_regression.py to test_regression.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/tests/test_angular_separation.py to test_angular_separation.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/tests/test_transformations.py to test_transformations.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/tests/test_api_ape5.py to test_api_ape5.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/tests/test_unit_representation.py to test_unit_representation.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/tests/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/tests/test_velocity_corrs.py to test_velocity_corrs.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/tests/test_arrays.py to test_arrays.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/tests/test_representation_arithmetic.py to test_representation_arithmetic.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/tests/test_formatting.py to test_formatting.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/tests/test_frames.py to test_frames.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/tests/test_earth.py to test_earth.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/tests/test_solar_system.py to test_solar_system.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/tests/test_finite_difference_velocities.py to test_finite_difference_velocities.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/tests/test_celestial_transformations.py to test_celestial_transformations.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/tests/test_iau_fullstack.py to test_iau_fullstack.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/tests/test_intermediate_transformations.py to test_intermediate_transformations.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/tests/test_sites.py to test_sites.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/tests/test_representation.py to test_representation.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/tests/accuracy/test_galactic_fk4.py to test_galactic_fk4.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/tests/accuracy/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/tests/accuracy/test_fk4_no_e_fk4.py to test_fk4_no_e_fk4.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/tests/accuracy/generate_ref_ast.py to generate_ref_ast.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/tests/accuracy/test_altaz_icrs.py to test_altaz_icrs.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/tests/accuracy/test_ecliptic.py to test_ecliptic.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/tests/accuracy/test_icrs_fk5.py to test_icrs_fk5.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/tests/accuracy/test_fk4_no_e_fk5.py to test_fk4_no_e_fk5.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/tests/test_distance.py to test_distance.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/tests/test_pickle.py to test_pickle.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/tests/test_atc_replacements.py to test_atc_replacements.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/tests/test_shape_manipulation.py to test_shape_manipulation.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/tests/utils.py to utils.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/tests/test_frames_with_velocity.py to test_frames_with_velocity.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/tests/test_name_resolve.py to test_name_resolve.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/tests/test_angles.py to test_angles.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/angle_lextab.py to angle_lextab.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/attributes.py to attributes.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/setup_package.py to setup_package.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/matrix_utilities.py to matrix_utilities.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/angle_parsetab.py to angle_parsetab.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/builtin_frames/hcrs.py to hcrs.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/builtin_frames/galactic_transforms.py to galactic_transforms.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/builtin_frames/skyoffset.py to skyoffset.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/builtin_frames/ecliptic.py to ecliptic.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/builtin_frames/lsr.py to lsr.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/builtin_frames/galactocentric.py to galactocentric.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/builtin_frames/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/builtin_frames/icrs_cirs_transforms.py to icrs_cirs_transforms.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/builtin_frames/fk5.py to fk5.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/builtin_frames/galactic.py to galactic.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/builtin_frames/gcrs.py to gcrs.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/builtin_frames/altaz.py to altaz.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/builtin_frames/ecliptic_transforms.py to ecliptic_transforms.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/builtin_frames/cirs_observed_transforms.py to cirs_observed_transforms.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/builtin_frames/supergalactic_transforms.py to supergalactic_transforms.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/builtin_frames/fk4.py to fk4.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/builtin_frames/fk4_fk5_transforms.py to fk4_fk5_transforms.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/builtin_frames/cirs.py to cirs.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/builtin_frames/utils.py to utils.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/builtin_frames/baseradec.py to baseradec.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/builtin_frames/supergalactic.py to supergalactic.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/builtin_frames/icrs_fk5_transforms.py to icrs_fk5_transforms.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/builtin_frames/itrs.py to itrs.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/builtin_frames/intermediate_rotation_transforms.py to intermediate_rotation_transforms.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/builtin_frames/icrs.py to icrs.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/earth.py to earth.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/representation.py to representation.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/orbital_elements.py to orbital_elements.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/calculation.py to calculation.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/distances.py to distances.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/earth_orientation.py to earth_orientation.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/coordinates/funcs.py to funcs.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/misc/connect.py to connect.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/misc/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/misc/tests/test_hdf5.py to test_hdf5.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/misc/tests/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/misc/tests/test_yaml.py to test_yaml.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/misc/tests/test_pickle_helpers.py to test_pickle_helpers.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/misc/pickle_helpers.py to pickle_helpers.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/misc/yaml.py to yaml.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/misc/hdf5.py to hdf5.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/registry.py to registry.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/fixedwidth.py to fixedwidth.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/core.py to core.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/cds.py to cds.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/html.py to html.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/connect.py to connect.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/daophot.py to daophot.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/ipac.py to ipac.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/ecsv.py to ecsv.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests/test_html.py to test_html.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests/test_c_reader.py to test_c_reader.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests/test_connect.py to test_connect.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests/test_fixedwidth.py to test_fixedwidth.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests/test_ecsv.py to test_ecsv.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests/test_read.py to test_read.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests/test_write.py to test_write.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests/common.py to common.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests/test_cds_header_from_readme.py to test_cds_header_from_readme.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests/test_compressed.py to test_compressed.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests/test_rst.py to test_rst.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests/test_types.py to test_types.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/tests/test_ipac_definitions.py to test_ipac_definitions.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/sextractor.py to sextractor.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/setup_package.py to setup_package.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/latex.py to latex.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/misc.py to misc.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/fastbasic.py to fastbasic.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/basic.py to basic.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/rst.py to rst.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/ascii/ui.py to ui.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/tests/test_registry.py to test_registry.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/tests/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/votable/tree.py to tree.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/votable/table.py to table.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/votable/volint.py to volint.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/votable/xmlutil.py to xmlutil.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/votable/connect.py to connect.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/votable/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/votable/ucd.py to ucd.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/votable/exceptions.py to exceptions.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/votable/tests/exception_test.py to exception_test.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/votable/tests/util_test.py to util_test.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/votable/tests/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/votable/tests/tree_test.py to tree_test.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/votable/tests/ucd_test.py to ucd_test.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/votable/tests/converter_test.py to converter_test.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/votable/tests/vo_test.py to vo_test.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/votable/tests/table_test.py to table_test.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/votable/validator/html.py to html.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/votable/validator/result.py to result.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/votable/validator/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/votable/validator/main.py to main.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/votable/setup_package.py to setup_package.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/votable/util.py to util.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/votable/converters.py to converters.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/setup_package.py to setup_package.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits/fitsrec.py to fitsrec.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits/file.py to file.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits/verify.py to verify.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits/convenience.py to convenience.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits/hdu/table.py to table.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits/hdu/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits/hdu/groups.py to groups.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits/hdu/compressed.py to compressed.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits/hdu/hdulist.py to hdulist.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits/hdu/image.py to image.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits/hdu/nonstandard.py to nonstandard.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits/hdu/streaming.py to streaming.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits/hdu/base.py to base.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits/connect.py to connect.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits/diff.py to diff.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits/column.py to column.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits/scripts/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits/scripts/fitsdiff.py to fitsdiff.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits/scripts/fitsheader.py to fitsheader.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits/scripts/fitsinfo.py to fitsinfo.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits/scripts/fitscheck.py to fitscheck.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits/tests/test_core.py to test_core.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits/tests/test_division.py to test_division.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits/tests/test_connect.py to test_connect.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits/tests/test_nonstandard.py to test_nonstandard.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits/tests/test_hdulist.py to test_hdulist.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits/tests/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits/tests/test_structured.py to test_structured.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits/tests/test_image.py to test_image.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits/tests/test_util.py to test_util.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits/tests/test_checksum.py to test_checksum.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits/tests/test_convenience.py to test_convenience.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits/tests/test_header.py to test_header.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits/tests/test_uint.py to test_uint.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits/tests/test_groups.py to test_groups.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits/tests/test_diff.py to test_diff.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits/tests/test_table.py to test_table.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits/tests/test_fitsdiff.py to test_fitsdiff.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits/card.py to card.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits/setup_package.py to setup_package.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits/util.py to util.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits/py3compat.py to py3compat.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits/_numpy_hacks.py to _numpy_hacks.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/astropy/io/fits/header.py to header.cpython-36.pyc running install_egg_info running egg_info creating astropy.egg-info writing astropy.egg-info/PKG-INFO writing dependency_links to astropy.egg-info/dependency_links.txt writing entry points to astropy.egg-info/entry_points.txt writing requirements to astropy.egg-info/requires.txt writing top-level names to astropy.egg-info/top_level.txt writing manifest file 'astropy.egg-info/SOURCES.txt' reading manifest file 'astropy.egg-info/SOURCES.txt' writing manifest file 'astropy.egg-info/SOURCES.txt' Copying astropy.egg-info to /<>/debian/tmp/usr/lib/python3/dist-packages/astropy-2.0.2.egg-info Skipping SOURCES.txt running install_scripts Installing fits2bitmap script to /<>/debian/tmp/usr/bin Installing fitscheck script to /<>/debian/tmp/usr/bin Installing fitsdiff script to /<>/debian/tmp/usr/bin Installing fitsheader script to /<>/debian/tmp/usr/bin Installing fitsinfo script to /<>/debian/tmp/usr/bin Installing samp_hub script to /<>/debian/tmp/usr/bin Installing volint script to /<>/debian/tmp/usr/bin Installing wcslint script to /<>/debian/tmp/usr/bin dh_auto_install python setup.py install --force --root=/<>/debian/tmp --no-compile -O0 --install-layout=deb running install running build running build_py running pre_hook from astropy._erfa.setup_package for build_py command running pre_hook from astropy.modeling.setup_package for build_py command WARNING: The autogenerated wrappers in astropy.modeling._projections seem to be older than the source templates used to create them. Because this is a release version we will use them anyway, but this might be a sign of some sort of version mismatch or other tampering. Or it might just mean you moved some files around or otherwise accidentally changed timestamps. running build_ext running pre_hook from astropy._erfa.setup_package for build_ext command running pre_hook from astropy.modeling.setup_package for build_ext command WARNING: The autogenerated wrappers in astropy.modeling._projections seem to be older than the source templates used to create them. Because this is a release version we will use them anyway, but this might be a sign of some sort of version mismatch or other tampering. Or it might just mean you moved some files around or otherwise accidentally changed timestamps. building 'astropy._compiler' extension x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/python2.7 -c astropy/_compiler.c -o build/temp.linux-x86_64-2.7/astropy/_compiler.o x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-l1RrwO/python2.7-2.7.14=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-2.7/astropy/_compiler.o -o build/lib.linux-x86_64-2.7/astropy/_compiler.so running install_lib creating /<>/debian/tmp/usr/lib/python2.7 creating /<>/debian/tmp/usr/lib/python2.7/dist-packages creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy copying build/lib.linux-x86_64-2.7/astropy/_compiler.so -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/stats copying build/lib.linux-x86_64-2.7/astropy/stats/circstats.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/stats copying build/lib.linux-x86_64-2.7/astropy/stats/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/stats copying build/lib.linux-x86_64-2.7/astropy/stats/bayesian_blocks.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/stats creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/stats/lombscargle copying build/lib.linux-x86_64-2.7/astropy/stats/lombscargle/core.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/stats/lombscargle copying build/lib.linux-x86_64-2.7/astropy/stats/lombscargle/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/stats/lombscargle creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/stats/lombscargle/implementations copying build/lib.linux-x86_64-2.7/astropy/stats/lombscargle/implementations/slow_impl.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/stats/lombscargle/implementations copying build/lib.linux-x86_64-2.7/astropy/stats/lombscargle/implementations/chi2_impl.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/stats/lombscargle/implementations copying build/lib.linux-x86_64-2.7/astropy/stats/lombscargle/implementations/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/stats/lombscargle/implementations copying build/lib.linux-x86_64-2.7/astropy/stats/lombscargle/implementations/main.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/stats/lombscargle/implementations copying build/lib.linux-x86_64-2.7/astropy/stats/lombscargle/implementations/fast_impl.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/stats/lombscargle/implementations copying build/lib.linux-x86_64-2.7/astropy/stats/lombscargle/implementations/mle.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/stats/lombscargle/implementations copying build/lib.linux-x86_64-2.7/astropy/stats/lombscargle/implementations/fastchi2_impl.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/stats/lombscargle/implementations creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/stats/lombscargle/implementations/tests copying build/lib.linux-x86_64-2.7/astropy/stats/lombscargle/implementations/tests/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/stats/lombscargle/implementations/tests copying build/lib.linux-x86_64-2.7/astropy/stats/lombscargle/implementations/tests/test_mle.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/stats/lombscargle/implementations/tests copying build/lib.linux-x86_64-2.7/astropy/stats/lombscargle/implementations/tests/test_utils.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/stats/lombscargle/implementations/tests copying build/lib.linux-x86_64-2.7/astropy/stats/lombscargle/implementations/scipy_impl.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/stats/lombscargle/implementations copying build/lib.linux-x86_64-2.7/astropy/stats/lombscargle/implementations/utils.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/stats/lombscargle/implementations copying build/lib.linux-x86_64-2.7/astropy/stats/lombscargle/implementations/cython_impl.so -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/stats/lombscargle/implementations creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/stats/lombscargle/tests copying build/lib.linux-x86_64-2.7/astropy/stats/lombscargle/tests/test_lombscargle.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/stats/lombscargle/tests copying build/lib.linux-x86_64-2.7/astropy/stats/lombscargle/tests/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/stats/lombscargle/tests creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/stats/tests copying build/lib.linux-x86_64-2.7/astropy/stats/tests/test_funcs.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/stats/tests copying build/lib.linux-x86_64-2.7/astropy/stats/tests/test_circstats.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/stats/tests copying build/lib.linux-x86_64-2.7/astropy/stats/tests/test_spatial.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/stats/tests copying build/lib.linux-x86_64-2.7/astropy/stats/tests/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/stats/tests copying build/lib.linux-x86_64-2.7/astropy/stats/tests/test_biweight.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/stats/tests copying build/lib.linux-x86_64-2.7/astropy/stats/tests/test_bayesian_blocks.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/stats/tests copying build/lib.linux-x86_64-2.7/astropy/stats/tests/test_histogram.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/stats/tests copying build/lib.linux-x86_64-2.7/astropy/stats/tests/test_jackknife.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/stats/tests copying build/lib.linux-x86_64-2.7/astropy/stats/tests/test_info_theory.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/stats/tests copying build/lib.linux-x86_64-2.7/astropy/stats/tests/test_sigma_clipping.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/stats/tests copying build/lib.linux-x86_64-2.7/astropy/stats/info_theory.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/stats copying build/lib.linux-x86_64-2.7/astropy/stats/spatial.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/stats copying build/lib.linux-x86_64-2.7/astropy/stats/setup_package.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/stats copying build/lib.linux-x86_64-2.7/astropy/stats/biweight.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/stats copying build/lib.linux-x86_64-2.7/astropy/stats/histogram.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/stats copying build/lib.linux-x86_64-2.7/astropy/stats/jackknife.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/stats copying build/lib.linux-x86_64-2.7/astropy/stats/sigma_clipping.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/stats copying build/lib.linux-x86_64-2.7/astropy/stats/funcs.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/stats creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/utils copying build/lib.linux-x86_64-2.7/astropy/utils/_compiler.so -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/utils copying build/lib.linux-x86_64-2.7/astropy/utils/metadata.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/utils copying build/lib.linux-x86_64-2.7/astropy/utils/introspection.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/utils copying build/lib.linux-x86_64-2.7/astropy/utils/data.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/utils creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/utils/xml copying build/lib.linux-x86_64-2.7/astropy/utils/xml/writer.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/utils/xml copying build/lib.linux-x86_64-2.7/astropy/utils/xml/check.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/utils/xml copying build/lib.linux-x86_64-2.7/astropy/utils/xml/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/utils/xml copying build/lib.linux-x86_64-2.7/astropy/utils/xml/unescaper.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/utils/xml copying build/lib.linux-x86_64-2.7/astropy/utils/xml/validate.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/utils/xml creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/utils/xml/tests copying build/lib.linux-x86_64-2.7/astropy/utils/xml/tests/test_iterparse.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/utils/xml/tests copying build/lib.linux-x86_64-2.7/astropy/utils/xml/tests/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/utils/xml/tests copying build/lib.linux-x86_64-2.7/astropy/utils/xml/iterparser.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/utils/xml copying build/lib.linux-x86_64-2.7/astropy/utils/xml/setup_package.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/utils/xml copying build/lib.linux-x86_64-2.7/astropy/utils/xml/_iterparser.so -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/utils/xml copying build/lib.linux-x86_64-2.7/astropy/utils/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/utils copying build/lib.linux-x86_64-2.7/astropy/utils/codegen.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/utils creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/utils/compat copying build/lib.linux-x86_64-2.7/astropy/utils/compat/numpycompat.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/utils/compat creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/utils/compat/numpy creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/utils/compat/numpy/core copying build/lib.linux-x86_64-2.7/astropy/utils/compat/numpy/core/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/utils/compat/numpy/core copying build/lib.linux-x86_64-2.7/astropy/utils/compat/numpy/core/multiarray.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/utils/compat/numpy/core copying build/lib.linux-x86_64-2.7/astropy/utils/compat/numpy/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/utils/compat/numpy creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/utils/compat/numpy/tests copying build/lib.linux-x86_64-2.7/astropy/utils/compat/numpy/tests/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/utils/compat/numpy/tests copying build/lib.linux-x86_64-2.7/astropy/utils/compat/numpy/tests/test_broadcast_arrays.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/utils/compat/numpy/tests copying build/lib.linux-x86_64-2.7/astropy/utils/compat/numpy/tests/test_matmul.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/utils/compat/numpy/tests creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/utils/compat/numpy/lib copying build/lib.linux-x86_64-2.7/astropy/utils/compat/numpy/lib/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/utils/compat/numpy/lib copying build/lib.linux-x86_64-2.7/astropy/utils/compat/numpy/lib/stride_tricks.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/utils/compat/numpy/lib copying build/lib.linux-x86_64-2.7/astropy/utils/compat/funcsigs.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/utils/compat copying build/lib.linux-x86_64-2.7/astropy/utils/compat/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/utils/compat copying build/lib.linux-x86_64-2.7/astropy/utils/compat/_funcsigs.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/utils/compat creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/utils/compat/futures copying build/lib.linux-x86_64-2.7/astropy/utils/compat/futures/_base.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/utils/compat/futures copying build/lib.linux-x86_64-2.7/astropy/utils/compat/futures/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/utils/compat/futures copying build/lib.linux-x86_64-2.7/astropy/utils/compat/futures/process.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/utils/compat/futures copying build/lib.linux-x86_64-2.7/astropy/utils/compat/futures/thread.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/utils/compat/futures copying build/lib.linux-x86_64-2.7/astropy/utils/compat/misc.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/utils/compat copying build/lib.linux-x86_64-2.7/astropy/utils/timer.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/utils copying build/lib.linux-x86_64-2.7/astropy/utils/state.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/utils copying build/lib.linux-x86_64-2.7/astropy/utils/console.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/utils copying build/lib.linux-x86_64-2.7/astropy/utils/exceptions.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/utils creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/utils/tests copying build/lib.linux-x86_64-2.7/astropy/utils/tests/test_timer.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/utils/tests copying build/lib.linux-x86_64-2.7/astropy/utils/tests/test_decorators.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/utils/tests copying build/lib.linux-x86_64-2.7/astropy/utils/tests/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/utils/tests copying build/lib.linux-x86_64-2.7/astropy/utils/tests/test_xml.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/utils/tests copying build/lib.linux-x86_64-2.7/astropy/utils/tests/test_data.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/utils/tests copying build/lib.linux-x86_64-2.7/astropy/utils/tests/test_metadata.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/utils/tests copying build/lib.linux-x86_64-2.7/astropy/utils/tests/test_data_info.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/utils/tests copying build/lib.linux-x86_64-2.7/astropy/utils/tests/test_introspection.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/utils/tests copying build/lib.linux-x86_64-2.7/astropy/utils/tests/test_console.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/utils/tests copying build/lib.linux-x86_64-2.7/astropy/utils/tests/test_misc.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/utils/tests copying build/lib.linux-x86_64-2.7/astropy/utils/tests/test_codegen.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/utils/tests creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/utils/tests/data copying build/lib.linux-x86_64-2.7/astropy/utils/tests/data/local.dat.bz2 -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/utils/tests/data copying build/lib.linux-x86_64-2.7/astropy/utils/tests/data/unicode.txt.bz2 -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/utils/tests/data copying build/lib.linux-x86_64-2.7/astropy/utils/tests/data/unicode.txt -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/utils/tests/data copying build/lib.linux-x86_64-2.7/astropy/utils/tests/data/alias.cfg -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/utils/tests/data copying build/lib.linux-x86_64-2.7/astropy/utils/tests/data/local.dat.xz -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/utils/tests/data copying build/lib.linux-x86_64-2.7/astropy/utils/tests/data/local.dat.gz -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/utils/tests/data copying build/lib.linux-x86_64-2.7/astropy/utils/tests/data/unicode.txt.xz -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/utils/tests/data creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/utils/tests/data/test_package copying build/lib.linux-x86_64-2.7/astropy/utils/tests/data/test_package/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/utils/tests/data/test_package creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/utils/tests/data/test_package/data copying build/lib.linux-x86_64-2.7/astropy/utils/tests/data/test_package/data/foo.txt -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/utils/tests/data/test_package/data copying build/lib.linux-x86_64-2.7/astropy/utils/tests/data/unicode.txt.gz -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/utils/tests/data copying build/lib.linux-x86_64-2.7/astropy/utils/tests/data/.hidden_file.txt -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/utils/tests/data copying build/lib.linux-x86_64-2.7/astropy/utils/tests/data/local.dat -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/utils/tests/data copying build/lib.linux-x86_64-2.7/astropy/utils/tests/test_collections.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/utils/tests creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/utils/iers copying build/lib.linux-x86_64-2.7/astropy/utils/iers/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/utils/iers copying build/lib.linux-x86_64-2.7/astropy/utils/iers/iers.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/utils/iers creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/utils/iers/tests copying build/lib.linux-x86_64-2.7/astropy/utils/iers/tests/finals2000A-2016-04-30-test -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/utils/iers/tests copying build/lib.linux-x86_64-2.7/astropy/utils/iers/tests/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/utils/iers/tests copying build/lib.linux-x86_64-2.7/astropy/utils/iers/tests/finals2000A-2016-02-30-test -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/utils/iers/tests copying build/lib.linux-x86_64-2.7/astropy/utils/iers/tests/iers_a_excerpt -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/utils/iers/tests copying build/lib.linux-x86_64-2.7/astropy/utils/iers/tests/test_iers.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/utils/iers/tests creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/utils/iers/data copying build/lib.linux-x86_64-2.7/astropy/utils/iers/data/ReadMe.eopc04_IAU2000 -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/utils/iers/data copying build/lib.linux-x86_64-2.7/astropy/utils/iers/data/ReadMe.finals2000A -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/utils/iers/data copying build/lib.linux-x86_64-2.7/astropy/utils/iers/data/eopc04_IAU2000.62-now -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/utils/iers/data copying build/lib.linux-x86_64-2.7/astropy/utils/decorators.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/utils copying build/lib.linux-x86_64-2.7/astropy/utils/setup_package.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/utils copying build/lib.linux-x86_64-2.7/astropy/utils/collections.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/utils copying build/lib.linux-x86_64-2.7/astropy/utils/data_info.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/utils copying build/lib.linux-x86_64-2.7/astropy/utils/misc.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/utils copying build/lib.linux-x86_64-2.7/astropy/utils/argparse.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/utils copying build/lib.linux-x86_64-2.7/astropy/version.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/nddata copying build/lib.linux-x86_64-2.7/astropy/nddata/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/nddata copying build/lib.linux-x86_64-2.7/astropy/nddata/flag_collection.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/nddata creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/nddata/tests copying build/lib.linux-x86_64-2.7/astropy/nddata/tests/test_decorators.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/nddata/tests copying build/lib.linux-x86_64-2.7/astropy/nddata/tests/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/nddata/tests copying build/lib.linux-x86_64-2.7/astropy/nddata/tests/test_flag_collection.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/nddata/tests copying build/lib.linux-x86_64-2.7/astropy/nddata/tests/test_nddata.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/nddata/tests copying build/lib.linux-x86_64-2.7/astropy/nddata/tests/test_ccddata.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/nddata/tests copying build/lib.linux-x86_64-2.7/astropy/nddata/tests/test_nddata_base.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/nddata/tests copying build/lib.linux-x86_64-2.7/astropy/nddata/tests/test_utils.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/nddata/tests copying build/lib.linux-x86_64-2.7/astropy/nddata/tests/test_compat.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/nddata/tests creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/nddata/tests/data copying build/lib.linux-x86_64-2.7/astropy/nddata/tests/data/sip-wcs.fits -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/nddata/tests/data copying build/lib.linux-x86_64-2.7/astropy/nddata/tests/test_nduncertainty.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/nddata/tests copying build/lib.linux-x86_64-2.7/astropy/nddata/nddata_withmixins.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/nddata copying build/lib.linux-x86_64-2.7/astropy/nddata/nddata_base.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/nddata copying build/lib.linux-x86_64-2.7/astropy/nddata/decorators.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/nddata copying build/lib.linux-x86_64-2.7/astropy/nddata/nduncertainty.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/nddata copying build/lib.linux-x86_64-2.7/astropy/nddata/setup_package.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/nddata copying build/lib.linux-x86_64-2.7/astropy/nddata/ccddata.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/nddata creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/nddata/mixins copying build/lib.linux-x86_64-2.7/astropy/nddata/mixins/ndarithmetic.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/nddata/mixins copying build/lib.linux-x86_64-2.7/astropy/nddata/mixins/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/nddata/mixins creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/nddata/mixins/tests copying build/lib.linux-x86_64-2.7/astropy/nddata/mixins/tests/test_ndslicing.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/nddata/mixins/tests copying build/lib.linux-x86_64-2.7/astropy/nddata/mixins/tests/test_ndio.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/nddata/mixins/tests copying build/lib.linux-x86_64-2.7/astropy/nddata/mixins/tests/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/nddata/mixins/tests copying build/lib.linux-x86_64-2.7/astropy/nddata/mixins/tests/test_ndarithmetic.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/nddata/mixins/tests copying build/lib.linux-x86_64-2.7/astropy/nddata/mixins/ndslicing.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/nddata/mixins copying build/lib.linux-x86_64-2.7/astropy/nddata/mixins/ndio.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/nddata/mixins copying build/lib.linux-x86_64-2.7/astropy/nddata/utils.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/nddata copying build/lib.linux-x86_64-2.7/astropy/nddata/nddata.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/nddata copying build/lib.linux-x86_64-2.7/astropy/nddata/compat.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/nddata creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs copying build/lib.linux-x86_64-2.7/astropy/wcs/wcs.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs copying build/lib.linux-x86_64-2.7/astropy/wcs/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs copying build/lib.linux-x86_64-2.7/astropy/wcs/_docutil.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs copying build/lib.linux-x86_64-2.7/astropy/wcs/wcslint.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs/tests creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs/tests/extension copying build/lib.linux-x86_64-2.7/astropy/wcs/tests/extension/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs/tests/extension copying build/lib.linux-x86_64-2.7/astropy/wcs/tests/extension/test_extension.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs/tests/extension copying build/lib.linux-x86_64-2.7/astropy/wcs/tests/extension/setup.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs/tests/extension copying build/lib.linux-x86_64-2.7/astropy/wcs/tests/extension/wcsapi_test.c -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs/tests/extension creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs/tests/maps copying build/lib.linux-x86_64-2.7/astropy/wcs/tests/maps/1904-66_QSC.hdr -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs/tests/maps copying build/lib.linux-x86_64-2.7/astropy/wcs/tests/maps/1904-66_STG.hdr -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs/tests/maps copying build/lib.linux-x86_64-2.7/astropy/wcs/tests/maps/1904-66_ZEA.hdr -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs/tests/maps copying build/lib.linux-x86_64-2.7/astropy/wcs/tests/maps/1904-66_MOL.hdr -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs/tests/maps copying build/lib.linux-x86_64-2.7/astropy/wcs/tests/maps/1904-66_COP.hdr -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs/tests/maps copying build/lib.linux-x86_64-2.7/astropy/wcs/tests/maps/1904-66_SIN.hdr -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs/tests/maps copying build/lib.linux-x86_64-2.7/astropy/wcs/tests/maps/1904-66_SZP.hdr -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs/tests/maps copying build/lib.linux-x86_64-2.7/astropy/wcs/tests/maps/1904-66_BON.hdr -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs/tests/maps copying build/lib.linux-x86_64-2.7/astropy/wcs/tests/maps/1904-66_CEA.hdr -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs/tests/maps copying build/lib.linux-x86_64-2.7/astropy/wcs/tests/maps/1904-66_HPX.hdr -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs/tests/maps copying build/lib.linux-x86_64-2.7/astropy/wcs/tests/maps/1904-66_COD.hdr -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs/tests/maps copying build/lib.linux-x86_64-2.7/astropy/wcs/tests/maps/1904-66_PCO.hdr -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs/tests/maps copying build/lib.linux-x86_64-2.7/astropy/wcs/tests/maps/1904-66_ZPN.hdr -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs/tests/maps copying build/lib.linux-x86_64-2.7/astropy/wcs/tests/maps/1904-66_TAN.hdr -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs/tests/maps copying build/lib.linux-x86_64-2.7/astropy/wcs/tests/maps/1904-66_AIR.hdr -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs/tests/maps copying build/lib.linux-x86_64-2.7/astropy/wcs/tests/maps/1904-66_PAR.hdr -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs/tests/maps copying build/lib.linux-x86_64-2.7/astropy/wcs/tests/maps/1904-66_NCP.hdr -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs/tests/maps copying build/lib.linux-x86_64-2.7/astropy/wcs/tests/maps/1904-66_ARC.hdr -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs/tests/maps copying build/lib.linux-x86_64-2.7/astropy/wcs/tests/maps/1904-66_CAR.hdr -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs/tests/maps copying build/lib.linux-x86_64-2.7/astropy/wcs/tests/maps/1904-66_COE.hdr -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs/tests/maps copying build/lib.linux-x86_64-2.7/astropy/wcs/tests/maps/1904-66_MER.hdr -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs/tests/maps copying build/lib.linux-x86_64-2.7/astropy/wcs/tests/maps/1904-66_CSC.hdr -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs/tests/maps copying build/lib.linux-x86_64-2.7/astropy/wcs/tests/maps/1904-66_SFL.hdr -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs/tests/maps copying build/lib.linux-x86_64-2.7/astropy/wcs/tests/maps/1904-66_AZP.hdr -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs/tests/maps copying build/lib.linux-x86_64-2.7/astropy/wcs/tests/maps/1904-66_CYP.hdr -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs/tests/maps copying build/lib.linux-x86_64-2.7/astropy/wcs/tests/maps/1904-66_TSC.hdr -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs/tests/maps copying build/lib.linux-x86_64-2.7/astropy/wcs/tests/maps/1904-66_COO.hdr -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs/tests/maps copying build/lib.linux-x86_64-2.7/astropy/wcs/tests/maps/1904-66_AIT.hdr -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs/tests/maps copying build/lib.linux-x86_64-2.7/astropy/wcs/tests/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs/tests copying build/lib.linux-x86_64-2.7/astropy/wcs/tests/test_wcs.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs/tests creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs/tests/spectra copying build/lib.linux-x86_64-2.7/astropy/wcs/tests/spectra/orion-wave-1.hdr -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs/tests/spectra copying build/lib.linux-x86_64-2.7/astropy/wcs/tests/spectra/orion-velo-4.hdr -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs/tests/spectra copying build/lib.linux-x86_64-2.7/astropy/wcs/tests/spectra/orion-freq-4.hdr -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs/tests/spectra copying build/lib.linux-x86_64-2.7/astropy/wcs/tests/spectra/orion-velo-1.hdr -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs/tests/spectra copying build/lib.linux-x86_64-2.7/astropy/wcs/tests/spectra/orion-wave-4.hdr -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs/tests/spectra copying build/lib.linux-x86_64-2.7/astropy/wcs/tests/spectra/orion-freq-1.hdr -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs/tests/spectra copying build/lib.linux-x86_64-2.7/astropy/wcs/tests/test_pickle.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs/tests copying build/lib.linux-x86_64-2.7/astropy/wcs/tests/test_utils.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs/tests copying build/lib.linux-x86_64-2.7/astropy/wcs/tests/test_profiling.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs/tests copying build/lib.linux-x86_64-2.7/astropy/wcs/tests/test_wcsprm.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs/tests creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs/tests/data copying build/lib.linux-x86_64-2.7/astropy/wcs/tests/data/sip.fits -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs/tests/data copying build/lib.linux-x86_64-2.7/astropy/wcs/tests/data/outside_sky.hdr -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs/tests/data copying build/lib.linux-x86_64-2.7/astropy/wcs/tests/data/tpvonly.hdr -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs/tests/data copying build/lib.linux-x86_64-2.7/astropy/wcs/tests/data/unit.hdr -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs/tests/data copying build/lib.linux-x86_64-2.7/astropy/wcs/tests/data/sip-broken.hdr -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs/tests/data copying build/lib.linux-x86_64-2.7/astropy/wcs/tests/data/validate.5.13.txt -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs/tests/data copying build/lib.linux-x86_64-2.7/astropy/wcs/tests/data/sub-segfault.hdr -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs/tests/data copying build/lib.linux-x86_64-2.7/astropy/wcs/tests/data/defunct_keywords.hdr -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs/tests/data copying build/lib.linux-x86_64-2.7/astropy/wcs/tests/data/3d_cd.hdr -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs/tests/data copying build/lib.linux-x86_64-2.7/astropy/wcs/tests/data/zpn-hole.hdr -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs/tests/data copying build/lib.linux-x86_64-2.7/astropy/wcs/tests/data/header_newlines.fits -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs/tests/data copying build/lib.linux-x86_64-2.7/astropy/wcs/tests/data/validate.5.0.txt -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs/tests/data copying build/lib.linux-x86_64-2.7/astropy/wcs/tests/data/sip2.fits -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs/tests/data copying build/lib.linux-x86_64-2.7/astropy/wcs/tests/data/dist_lookup.fits.gz -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs/tests/data copying build/lib.linux-x86_64-2.7/astropy/wcs/tests/data/siponly.hdr -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs/tests/data copying build/lib.linux-x86_64-2.7/astropy/wcs/tests/data/validate.txt -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs/tests/data copying build/lib.linux-x86_64-2.7/astropy/wcs/tests/data/j94f05bgq_flt.fits -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs/tests/data copying build/lib.linux-x86_64-2.7/astropy/wcs/tests/data/2wcses.hdr -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs/tests/data copying build/lib.linux-x86_64-2.7/astropy/wcs/tests/data/dist.fits -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs/tests/data copying build/lib.linux-x86_64-2.7/astropy/wcs/tests/data/nonstandard_units.hdr -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs/tests/data copying build/lib.linux-x86_64-2.7/astropy/wcs/tests/data/irac_sip.hdr -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs/tests/data copying build/lib.linux-x86_64-2.7/astropy/wcs/tests/data/invalid_header.hdr -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs/tests/data copying build/lib.linux-x86_64-2.7/astropy/wcs/tests/data/locale.hdr -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs/tests/data copying build/lib.linux-x86_64-2.7/astropy/wcs/tests/data/too_many_pv.hdr -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs/tests/data copying build/lib.linux-x86_64-2.7/astropy/wcs/tests/data/validate.fits -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs/tests/data copying build/lib.linux-x86_64-2.7/astropy/wcs/setup_package.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs copying build/lib.linux-x86_64-2.7/astropy/wcs/docstrings.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs copying build/lib.linux-x86_64-2.7/astropy/wcs/utils.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs/include creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs/include/astropy_wcs copying build/lib.linux-x86_64-2.7/astropy/wcs/include/astropy_wcs/pyutil.h -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs/include/astropy_wcs copying build/lib.linux-x86_64-2.7/astropy/wcs/include/astropy_wcs/isnan.h -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs/include/astropy_wcs copying build/lib.linux-x86_64-2.7/astropy/wcs/include/astropy_wcs/util.h -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs/include/astropy_wcs copying build/lib.linux-x86_64-2.7/astropy/wcs/include/astropy_wcs/astropy_wcs_api.h -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs/include/astropy_wcs copying build/lib.linux-x86_64-2.7/astropy/wcs/include/astropy_wcs/wcsconfig.h -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs/include/astropy_wcs copying build/lib.linux-x86_64-2.7/astropy/wcs/include/astropy_wcs/pipeline.h -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs/include/astropy_wcs copying build/lib.linux-x86_64-2.7/astropy/wcs/include/astropy_wcs/astropy_wcs.h -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs/include/astropy_wcs copying build/lib.linux-x86_64-2.7/astropy/wcs/include/astropy_wcs/sip.h -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs/include/astropy_wcs copying build/lib.linux-x86_64-2.7/astropy/wcs/include/astropy_wcs/distortion.h -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs/include/astropy_wcs creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs/include/wcslib copying build/lib.linux-x86_64-2.7/astropy/wcs/include/wcslib/wcserr.h -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs/include/wcslib copying build/lib.linux-x86_64-2.7/astropy/wcs/include/wcslib/wcsprintf.h -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs/include/wcslib copying build/lib.linux-x86_64-2.7/astropy/wcs/include/wcslib/wcsmath.h -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs/include/wcslib copying build/lib.linux-x86_64-2.7/astropy/wcs/include/wcslib/prj.h -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs/include/wcslib copying build/lib.linux-x86_64-2.7/astropy/wcs/include/wcslib/spc.h -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs/include/wcslib copying build/lib.linux-x86_64-2.7/astropy/wcs/include/wcslib/tab.h -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs/include/wcslib copying build/lib.linux-x86_64-2.7/astropy/wcs/include/wcslib/spx.h -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs/include/wcslib copying build/lib.linux-x86_64-2.7/astropy/wcs/include/wcslib/lin.h -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs/include/wcslib copying build/lib.linux-x86_64-2.7/astropy/wcs/include/wcslib/wcs.h -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs/include/wcslib copying build/lib.linux-x86_64-2.7/astropy/wcs/include/wcslib/cel.h -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs/include/wcslib copying build/lib.linux-x86_64-2.7/astropy/wcs/include/astropy_wcs_api.h -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs/include copying build/lib.linux-x86_64-2.7/astropy/wcs/_wcs.so -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/wcs creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/analytic_functions copying build/lib.linux-x86_64-2.7/astropy/analytic_functions/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/analytic_functions creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/analytic_functions/tests copying build/lib.linux-x86_64-2.7/astropy/analytic_functions/tests/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/analytic_functions/tests copying build/lib.linux-x86_64-2.7/astropy/analytic_functions/tests/test_blackbody.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/analytic_functions/tests copying build/lib.linux-x86_64-2.7/astropy/analytic_functions/blackbody.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/analytic_functions copying build/lib.linux-x86_64-2.7/astropy/cython_version.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/config copying build/lib.linux-x86_64-2.7/astropy/config/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/config creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/config/tests copying build/lib.linux-x86_64-2.7/astropy/config/tests/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/config/tests copying build/lib.linux-x86_64-2.7/astropy/config/tests/test_configs.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/config/tests creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/config/tests/data copying build/lib.linux-x86_64-2.7/astropy/config/tests/data/alias.cfg -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/config/tests/data copying build/lib.linux-x86_64-2.7/astropy/config/tests/data/astropy.0.3.cfg -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/config/tests/data copying build/lib.linux-x86_64-2.7/astropy/config/tests/data/astropy.0.3.windows.cfg -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/config/tests/data copying build/lib.linux-x86_64-2.7/astropy/config/tests/data/not_empty.cfg -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/config/tests/data copying build/lib.linux-x86_64-2.7/astropy/config/tests/data/deprecated.cfg -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/config/tests/data copying build/lib.linux-x86_64-2.7/astropy/config/tests/data/empty.cfg -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/config/tests/data copying build/lib.linux-x86_64-2.7/astropy/config/setup_package.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/config copying build/lib.linux-x86_64-2.7/astropy/config/paths.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/config copying build/lib.linux-x86_64-2.7/astropy/config/configuration.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/config copying build/lib.linux-x86_64-2.7/astropy/config/affiliated.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/config creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/_erfa copying build/lib.linux-x86_64-2.7/astropy/_erfa/core.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/_erfa copying build/lib.linux-x86_64-2.7/astropy/_erfa/_core.so -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/_erfa copying build/lib.linux-x86_64-2.7/astropy/_erfa/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/_erfa creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/_erfa/tests copying build/lib.linux-x86_64-2.7/astropy/_erfa/tests/test_erfa.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/_erfa/tests copying build/lib.linux-x86_64-2.7/astropy/_erfa/tests/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/_erfa/tests copying build/lib.linux-x86_64-2.7/astropy/_erfa/setup_package.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/_erfa copying build/lib.linux-x86_64-2.7/astropy/_erfa/erfa_generator.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/_erfa copying build/lib.linux-x86_64-2.7/astropy/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/vo copying build/lib.linux-x86_64-2.7/astropy/vo/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/vo creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/vo/validator copying build/lib.linux-x86_64-2.7/astropy/vo/validator/inspect.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/vo/validator copying build/lib.linux-x86_64-2.7/astropy/vo/validator/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/vo/validator copying build/lib.linux-x86_64-2.7/astropy/vo/validator/exceptions.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/vo/validator copying build/lib.linux-x86_64-2.7/astropy/vo/validator/validate.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/vo/validator creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/vo/validator/tests copying build/lib.linux-x86_64-2.7/astropy/vo/validator/tests/test_validate.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/vo/validator/tests copying build/lib.linux-x86_64-2.7/astropy/vo/validator/tests/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/vo/validator/tests copying build/lib.linux-x86_64-2.7/astropy/vo/validator/tests/test_inpect.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/vo/validator/tests creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/vo/validator/tests/data copying build/lib.linux-x86_64-2.7/astropy/vo/validator/tests/data/conesearch_good.json -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/vo/validator/tests/data copying build/lib.linux-x86_64-2.7/astropy/vo/validator/tests/data/vao_conesearch_sites_121107_subset.xml -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/vo/validator/tests/data copying build/lib.linux-x86_64-2.7/astropy/vo/validator/tests/data/conesearch_warn.json -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/vo/validator/tests/data copying build/lib.linux-x86_64-2.7/astropy/vo/validator/tests/data/listcats1.out -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/vo/validator/tests/data copying build/lib.linux-x86_64-2.7/astropy/vo/validator/tests/data/conesearch_exception.json -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/vo/validator/tests/data copying build/lib.linux-x86_64-2.7/astropy/vo/validator/tests/data/conesearch_error.json -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/vo/validator/tests/data copying build/lib.linux-x86_64-2.7/astropy/vo/validator/tests/data/tally.out -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/vo/validator/tests/data copying build/lib.linux-x86_64-2.7/astropy/vo/validator/tests/data/printcat.out -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/vo/validator/tests/data copying build/lib.linux-x86_64-2.7/astropy/vo/validator/tests/data/listcats2.out -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/vo/validator/tests/data copying build/lib.linux-x86_64-2.7/astropy/vo/validator/setup_package.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/vo/validator copying build/lib.linux-x86_64-2.7/astropy/vo/validator/tstquery.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/vo/validator creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/vo/validator/data copying build/lib.linux-x86_64-2.7/astropy/vo/validator/data/conesearch_urls.txt -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/vo/validator/data creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/vo/samp copying build/lib.linux-x86_64-2.7/astropy/vo/samp/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/vo/samp creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/vo/client copying build/lib.linux-x86_64-2.7/astropy/vo/client/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/vo/client copying build/lib.linux-x86_64-2.7/astropy/vo/client/exceptions.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/vo/client creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/vo/client/tests copying build/lib.linux-x86_64-2.7/astropy/vo/client/tests/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/vo/client/tests copying build/lib.linux-x86_64-2.7/astropy/vo/client/tests/test_conesearch.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/vo/client/tests copying build/lib.linux-x86_64-2.7/astropy/vo/client/tests/test_vos_catalog.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/vo/client/tests creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/vo/client/tests/data copying build/lib.linux-x86_64-2.7/astropy/vo/client/tests/data/conesearch_error2.xml -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/vo/client/tests/data copying build/lib.linux-x86_64-2.7/astropy/vo/client/tests/data/conesearch_error4.xml -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/vo/client/tests/data copying build/lib.linux-x86_64-2.7/astropy/vo/client/tests/data/conesearch_error3.xml -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/vo/client/tests/data copying build/lib.linux-x86_64-2.7/astropy/vo/client/tests/data/conesearch_error1.xml -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/vo/client/tests/data copying build/lib.linux-x86_64-2.7/astropy/vo/client/tests/data/basic.json -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/vo/client/tests/data copying build/lib.linux-x86_64-2.7/astropy/vo/client/setup_package.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/vo/client copying build/lib.linux-x86_64-2.7/astropy/vo/client/conesearch.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/vo/client copying build/lib.linux-x86_64-2.7/astropy/vo/client/async.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/vo/client copying build/lib.linux-x86_64-2.7/astropy/vo/client/vos_catalog.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/vo/client creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/time copying build/lib.linux-x86_64-2.7/astropy/time/core.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/time copying build/lib.linux-x86_64-2.7/astropy/time/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/time creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/time/tests copying build/lib.linux-x86_64-2.7/astropy/time/tests/test_methods.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/time/tests copying build/lib.linux-x86_64-2.7/astropy/time/tests/test_guess.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/time/tests copying build/lib.linux-x86_64-2.7/astropy/time/tests/test_ut1.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/time/tests copying build/lib.linux-x86_64-2.7/astropy/time/tests/test_delta.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/time/tests copying build/lib.linux-x86_64-2.7/astropy/time/tests/test_comparisons.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/time/tests copying build/lib.linux-x86_64-2.7/astropy/time/tests/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/time/tests copying build/lib.linux-x86_64-2.7/astropy/time/tests/test_basic.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/time/tests copying build/lib.linux-x86_64-2.7/astropy/time/tests/test_quantity_interaction.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/time/tests copying build/lib.linux-x86_64-2.7/astropy/time/tests/test_pickle.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/time/tests copying build/lib.linux-x86_64-2.7/astropy/time/tests/test_corrs.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/time/tests copying build/lib.linux-x86_64-2.7/astropy/time/tests/test_precision.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/time/tests copying build/lib.linux-x86_64-2.7/astropy/time/tests/test_sidereal.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/time/tests copying build/lib.linux-x86_64-2.7/astropy/time/setup_package.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/time copying build/lib.linux-x86_64-2.7/astropy/time/utils.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/time copying build/lib.linux-x86_64-2.7/astropy/time/formats.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/time creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/table copying build/lib.linux-x86_64-2.7/astropy/table/table.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/table copying build/lib.linux-x86_64-2.7/astropy/table/info.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/table copying build/lib.linux-x86_64-2.7/astropy/table/sorted_array.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/table copying build/lib.linux-x86_64-2.7/astropy/table/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/table copying build/lib.linux-x86_64-2.7/astropy/table/_np_utils.so -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/table copying build/lib.linux-x86_64-2.7/astropy/table/jsviewer.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/table copying build/lib.linux-x86_64-2.7/astropy/table/groups.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/table copying build/lib.linux-x86_64-2.7/astropy/table/column.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/table copying build/lib.linux-x86_64-2.7/astropy/table/meta.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/table copying build/lib.linux-x86_64-2.7/astropy/table/operations.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/table copying build/lib.linux-x86_64-2.7/astropy/table/serialize.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/table copying build/lib.linux-x86_64-2.7/astropy/table/table_helpers.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/table copying build/lib.linux-x86_64-2.7/astropy/table/pprint.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/table copying build/lib.linux-x86_64-2.7/astropy/table/row.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/table creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/table/tests copying build/lib.linux-x86_64-2.7/astropy/table/tests/test_array.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/table/tests copying build/lib.linux-x86_64-2.7/astropy/table/tests/test_column.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/table/tests copying build/lib.linux-x86_64-2.7/astropy/table/tests/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/table/tests copying build/lib.linux-x86_64-2.7/astropy/table/tests/test_np_utils.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/table/tests copying build/lib.linux-x86_64-2.7/astropy/table/tests/test_mixin.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/table/tests copying build/lib.linux-x86_64-2.7/astropy/table/tests/test_jsviewer.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/table/tests copying build/lib.linux-x86_64-2.7/astropy/table/tests/test_row.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/table/tests copying build/lib.linux-x86_64-2.7/astropy/table/tests/test_bst.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/table/tests copying build/lib.linux-x86_64-2.7/astropy/table/tests/test_init_table.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/table/tests copying build/lib.linux-x86_64-2.7/astropy/table/tests/test_masked.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/table/tests copying build/lib.linux-x86_64-2.7/astropy/table/tests/test_pickle.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/table/tests copying build/lib.linux-x86_64-2.7/astropy/table/tests/conftest.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/table/tests copying build/lib.linux-x86_64-2.7/astropy/table/tests/test_index.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/table/tests copying build/lib.linux-x86_64-2.7/astropy/table/tests/test_operations.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/table/tests copying build/lib.linux-x86_64-2.7/astropy/table/tests/test_subclass.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/table/tests copying build/lib.linux-x86_64-2.7/astropy/table/tests/test_info.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/table/tests copying build/lib.linux-x86_64-2.7/astropy/table/tests/test_groups.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/table/tests copying build/lib.linux-x86_64-2.7/astropy/table/tests/test_pprint.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/table/tests copying build/lib.linux-x86_64-2.7/astropy/table/tests/test_table.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/table/tests copying build/lib.linux-x86_64-2.7/astropy/table/tests/test_item_access.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/table/tests copying build/lib.linux-x86_64-2.7/astropy/table/np_utils.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/table copying build/lib.linux-x86_64-2.7/astropy/table/_column_mixins.so -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/table copying build/lib.linux-x86_64-2.7/astropy/table/setup_package.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/table copying build/lib.linux-x86_64-2.7/astropy/table/index.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/table copying build/lib.linux-x86_64-2.7/astropy/table/bst.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/table creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/constants copying build/lib.linux-x86_64-2.7/astropy/constants/astropyconst13.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/constants copying build/lib.linux-x86_64-2.7/astropy/constants/si.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/constants copying build/lib.linux-x86_64-2.7/astropy/constants/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/constants copying build/lib.linux-x86_64-2.7/astropy/constants/constant.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/constants copying build/lib.linux-x86_64-2.7/astropy/constants/codata2010.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/constants creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/constants/tests copying build/lib.linux-x86_64-2.7/astropy/constants/tests/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/constants/tests copying build/lib.linux-x86_64-2.7/astropy/constants/tests/test_constant.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/constants/tests copying build/lib.linux-x86_64-2.7/astropy/constants/tests/test_prior_version.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/constants/tests copying build/lib.linux-x86_64-2.7/astropy/constants/tests/test_pickle.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/constants/tests copying build/lib.linux-x86_64-2.7/astropy/constants/iau2012.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/constants copying build/lib.linux-x86_64-2.7/astropy/constants/setup_package.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/constants copying build/lib.linux-x86_64-2.7/astropy/constants/cgs.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/constants copying build/lib.linux-x86_64-2.7/astropy/constants/iau2015.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/constants copying build/lib.linux-x86_64-2.7/astropy/constants/astropyconst20.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/constants copying build/lib.linux-x86_64-2.7/astropy/constants/codata2014.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/constants copying build/lib.linux-x86_64-2.7/astropy/logger.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/tests copying build/lib.linux-x86_64-2.7/astropy/tests/command.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/tests copying build/lib.linux-x86_64-2.7/astropy/tests/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/tests copying build/lib.linux-x86_64-2.7/astropy/tests/test_logger.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/tests copying build/lib.linux-x86_64-2.7/astropy/tests/runner.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/tests copying build/lib.linux-x86_64-2.7/astropy/tests/helper.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/tests copying build/lib.linux-x86_64-2.7/astropy/tests/coveragerc -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/tests copying build/lib.linux-x86_64-2.7/astropy/tests/output_checker.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/tests creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/tests/tests copying build/lib.linux-x86_64-2.7/astropy/tests/tests/test_open_file_detection.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/tests/tests copying build/lib.linux-x86_64-2.7/astropy/tests/tests/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/tests/tests copying build/lib.linux-x86_64-2.7/astropy/tests/tests/test_runner.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/tests/tests copying build/lib.linux-x86_64-2.7/astropy/tests/tests/test_skip_remote_data.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/tests/tests copying build/lib.linux-x86_64-2.7/astropy/tests/tests/test_run_tests.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/tests/tests copying build/lib.linux-x86_64-2.7/astropy/tests/tests/test_socketblocker.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/tests/tests creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/tests/tests/data copying build/lib.linux-x86_64-2.7/astropy/tests/tests/data/open_file_detection.txt -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/tests/tests/data copying build/lib.linux-x86_64-2.7/astropy/tests/tests/test_quantity_helpers.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/tests/tests copying build/lib.linux-x86_64-2.7/astropy/tests/tests/test_imports.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/tests/tests copying build/lib.linux-x86_64-2.7/astropy/tests/pytest_plugins.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/tests copying build/lib.linux-x86_64-2.7/astropy/tests/disable_internet.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/tests copying build/lib.linux-x86_64-2.7/astropy/tests/image_tests.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/tests copying build/lib.linux-x86_64-2.7/astropy/tests/setup_package.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/tests creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/cosmology copying build/lib.linux-x86_64-2.7/astropy/cosmology/core.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/cosmology copying build/lib.linux-x86_64-2.7/astropy/cosmology/scalar_inv_efuncs.so -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/cosmology copying build/lib.linux-x86_64-2.7/astropy/cosmology/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/cosmology copying build/lib.linux-x86_64-2.7/astropy/cosmology/parameters.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/cosmology creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/cosmology/tests copying build/lib.linux-x86_64-2.7/astropy/cosmology/tests/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/cosmology/tests copying build/lib.linux-x86_64-2.7/astropy/cosmology/tests/test_cosmology.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/cosmology/tests copying build/lib.linux-x86_64-2.7/astropy/cosmology/tests/test_pickle.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/cosmology/tests copying build/lib.linux-x86_64-2.7/astropy/cosmology/setup_package.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/cosmology copying build/lib.linux-x86_64-2.7/astropy/cosmology/funcs.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/cosmology creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/modeling copying build/lib.linux-x86_64-2.7/astropy/modeling/core.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/modeling copying build/lib.linux-x86_64-2.7/astropy/modeling/mappings.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/modeling copying build/lib.linux-x86_64-2.7/astropy/modeling/optimizers.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/modeling copying build/lib.linux-x86_64-2.7/astropy/modeling/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/modeling copying build/lib.linux-x86_64-2.7/astropy/modeling/projections.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/modeling copying build/lib.linux-x86_64-2.7/astropy/modeling/_projections.so -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/modeling copying build/lib.linux-x86_64-2.7/astropy/modeling/functional_models.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/modeling copying build/lib.linux-x86_64-2.7/astropy/modeling/models.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/modeling copying build/lib.linux-x86_64-2.7/astropy/modeling/parameters.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/modeling copying build/lib.linux-x86_64-2.7/astropy/modeling/polynomial.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/modeling creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/modeling/tests copying build/lib.linux-x86_64-2.7/astropy/modeling/tests/test_core.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/modeling/tests copying build/lib.linux-x86_64-2.7/astropy/modeling/tests/test_models.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/modeling/tests copying build/lib.linux-x86_64-2.7/astropy/modeling/tests/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/modeling/tests copying build/lib.linux-x86_64-2.7/astropy/modeling/tests/test_quantities_fitting.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/modeling/tests copying build/lib.linux-x86_64-2.7/astropy/modeling/tests/test_fitters.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/modeling/tests copying build/lib.linux-x86_64-2.7/astropy/modeling/tests/test_projections.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/modeling/tests copying build/lib.linux-x86_64-2.7/astropy/modeling/tests/test_mappings.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/modeling/tests copying build/lib.linux-x86_64-2.7/astropy/modeling/tests/test_compound.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/modeling/tests copying build/lib.linux-x86_64-2.7/astropy/modeling/tests/test_models_quantities.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/modeling/tests copying build/lib.linux-x86_64-2.7/astropy/modeling/tests/test_blackbody.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/modeling/tests copying build/lib.linux-x86_64-2.7/astropy/modeling/tests/test_quantities_model.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/modeling/tests copying build/lib.linux-x86_64-2.7/astropy/modeling/tests/test_polynomial.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/modeling/tests copying build/lib.linux-x86_64-2.7/astropy/modeling/tests/test_quantities_parameters.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/modeling/tests copying build/lib.linux-x86_64-2.7/astropy/modeling/tests/example_models.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/modeling/tests copying build/lib.linux-x86_64-2.7/astropy/modeling/tests/test_input.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/modeling/tests copying build/lib.linux-x86_64-2.7/astropy/modeling/tests/test_rotations.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/modeling/tests copying build/lib.linux-x86_64-2.7/astropy/modeling/tests/test_utils.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/modeling/tests copying build/lib.linux-x86_64-2.7/astropy/modeling/tests/test_parameters.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/modeling/tests copying build/lib.linux-x86_64-2.7/astropy/modeling/tests/utils.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/modeling/tests copying build/lib.linux-x86_64-2.7/astropy/modeling/tests/test_quantities_rotations.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/modeling/tests creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/modeling/tests/data copying build/lib.linux-x86_64-2.7/astropy/modeling/tests/data/hst_sip.hdr -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/modeling/tests/data copying build/lib.linux-x86_64-2.7/astropy/modeling/tests/data/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/modeling/tests/data copying build/lib.linux-x86_64-2.7/astropy/modeling/tests/data/idcompspec.fits -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/modeling/tests/data copying build/lib.linux-x86_64-2.7/astropy/modeling/tests/data/irac_sip.hdr -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/modeling/tests/data copying build/lib.linux-x86_64-2.7/astropy/modeling/tests/data/1904-66_AZP.fits -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/modeling/tests/data copying build/lib.linux-x86_64-2.7/astropy/modeling/tests/test_quantities_evaluation.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/modeling/tests copying build/lib.linux-x86_64-2.7/astropy/modeling/tests/irafutil.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/modeling/tests copying build/lib.linux-x86_64-2.7/astropy/modeling/tests/test_constraints.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/modeling/tests copying build/lib.linux-x86_64-2.7/astropy/modeling/tests/test_functional_models.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/modeling/tests copying build/lib.linux-x86_64-2.7/astropy/modeling/rotations.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/modeling copying build/lib.linux-x86_64-2.7/astropy/modeling/statistic.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/modeling copying build/lib.linux-x86_64-2.7/astropy/modeling/setup_package.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/modeling copying build/lib.linux-x86_64-2.7/astropy/modeling/utils.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/modeling copying build/lib.linux-x86_64-2.7/astropy/modeling/blackbody.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/modeling copying build/lib.linux-x86_64-2.7/astropy/modeling/fitting.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/modeling copying build/lib.linux-x86_64-2.7/astropy/modeling/powerlaws.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/modeling copying build/lib.linux-x86_64-2.7/astropy/modeling/tabular.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/modeling copying build/lib.linux-x86_64-2.7/astropy/conftest.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/samp copying build/lib.linux-x86_64-2.7/astropy/samp/hub.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/samp copying build/lib.linux-x86_64-2.7/astropy/samp/errors.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/samp copying build/lib.linux-x86_64-2.7/astropy/samp/constants.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/samp copying build/lib.linux-x86_64-2.7/astropy/samp/web_profile.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/samp copying build/lib.linux-x86_64-2.7/astropy/samp/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/samp copying build/lib.linux-x86_64-2.7/astropy/samp/client.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/samp copying build/lib.linux-x86_64-2.7/astropy/samp/integrated_client.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/samp creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/samp/tests copying build/lib.linux-x86_64-2.7/astropy/samp/tests/test_client.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/samp/tests copying build/lib.linux-x86_64-2.7/astropy/samp/tests/test_helpers.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/samp/tests copying build/lib.linux-x86_64-2.7/astropy/samp/tests/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/samp/tests copying build/lib.linux-x86_64-2.7/astropy/samp/tests/test_hub.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/samp/tests copying build/lib.linux-x86_64-2.7/astropy/samp/tests/test_hub_script.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/samp/tests copying build/lib.linux-x86_64-2.7/astropy/samp/tests/test_errors.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/samp/tests copying build/lib.linux-x86_64-2.7/astropy/samp/tests/web_profile_test_helpers.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/samp/tests copying build/lib.linux-x86_64-2.7/astropy/samp/tests/test_web_profile.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/samp/tests copying build/lib.linux-x86_64-2.7/astropy/samp/tests/test_standard_profile.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/samp/tests copying build/lib.linux-x86_64-2.7/astropy/samp/tests/test_hub_proxy.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/samp/tests copying build/lib.linux-x86_64-2.7/astropy/samp/setup_package.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/samp copying build/lib.linux-x86_64-2.7/astropy/samp/utils.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/samp copying build/lib.linux-x86_64-2.7/astropy/samp/lockfile_helpers.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/samp copying build/lib.linux-x86_64-2.7/astropy/samp/hub_proxy.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/samp copying build/lib.linux-x86_64-2.7/astropy/samp/standard_profile.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/samp copying build/lib.linux-x86_64-2.7/astropy/samp/hub_script.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/samp creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/samp/data copying build/lib.linux-x86_64-2.7/astropy/samp/data/astropy_icon.png -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/samp/data copying build/lib.linux-x86_64-2.7/astropy/samp/data/clientaccesspolicy.xml -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/samp/data copying build/lib.linux-x86_64-2.7/astropy/samp/data/crossdomain.xml -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/samp/data copying build/lib.linux-x86_64-2.7/astropy/setup_package.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/visualization copying build/lib.linux-x86_64-2.7/astropy/visualization/hist.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/visualization copying build/lib.linux-x86_64-2.7/astropy/visualization/mpl_style.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/visualization copying build/lib.linux-x86_64-2.7/astropy/visualization/lupton_rgb.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/visualization copying build/lib.linux-x86_64-2.7/astropy/visualization/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/visualization copying build/lib.linux-x86_64-2.7/astropy/visualization/units.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/visualization creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/visualization/wcsaxes copying build/lib.linux-x86_64-2.7/astropy/visualization/wcsaxes/core.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/visualization/wcsaxes copying build/lib.linux-x86_64-2.7/astropy/visualization/wcsaxes/axislabels.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/visualization/wcsaxes copying build/lib.linux-x86_64-2.7/astropy/visualization/wcsaxes/coordinate_helpers.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/visualization/wcsaxes copying build/lib.linux-x86_64-2.7/astropy/visualization/wcsaxes/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/visualization/wcsaxes copying build/lib.linux-x86_64-2.7/astropy/visualization/wcsaxes/coordinates_map.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/visualization/wcsaxes copying build/lib.linux-x86_64-2.7/astropy/visualization/wcsaxes/ticks.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/visualization/wcsaxes copying build/lib.linux-x86_64-2.7/astropy/visualization/wcsaxes/frame.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/visualization/wcsaxes copying build/lib.linux-x86_64-2.7/astropy/visualization/wcsaxes/coordinate_range.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/visualization/wcsaxes creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/visualization/wcsaxes/tests copying build/lib.linux-x86_64-2.7/astropy/visualization/wcsaxes/tests/datasets.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/visualization/wcsaxes/tests copying build/lib.linux-x86_64-2.7/astropy/visualization/wcsaxes/tests/test_coordinate_helpers.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/visualization/wcsaxes/tests copying build/lib.linux-x86_64-2.7/astropy/visualization/wcsaxes/tests/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/visualization/wcsaxes/tests copying build/lib.linux-x86_64-2.7/astropy/visualization/wcsaxes/tests/test_transform_coord_meta.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/visualization/wcsaxes/tests copying build/lib.linux-x86_64-2.7/astropy/visualization/wcsaxes/tests/test_frame.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/visualization/wcsaxes/tests copying build/lib.linux-x86_64-2.7/astropy/visualization/wcsaxes/tests/test_transforms.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/visualization/wcsaxes/tests copying build/lib.linux-x86_64-2.7/astropy/visualization/wcsaxes/tests/test_display_world_coordinates.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/visualization/wcsaxes/tests copying build/lib.linux-x86_64-2.7/astropy/visualization/wcsaxes/tests/test_images.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/visualization/wcsaxes/tests copying build/lib.linux-x86_64-2.7/astropy/visualization/wcsaxes/tests/test_utils.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/visualization/wcsaxes/tests copying build/lib.linux-x86_64-2.7/astropy/visualization/wcsaxes/tests/setup_package.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/visualization/wcsaxes/tests copying build/lib.linux-x86_64-2.7/astropy/visualization/wcsaxes/tests/test_misc.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/visualization/wcsaxes/tests copying build/lib.linux-x86_64-2.7/astropy/visualization/wcsaxes/tests/test_formatter_locator.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/visualization/wcsaxes/tests creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/visualization/wcsaxes/tests/data copying build/lib.linux-x86_64-2.7/astropy/visualization/wcsaxes/tests/data/rosat_header -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/visualization/wcsaxes/tests/data copying build/lib.linux-x86_64-2.7/astropy/visualization/wcsaxes/tests/data/msx_header -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/visualization/wcsaxes/tests/data copying build/lib.linux-x86_64-2.7/astropy/visualization/wcsaxes/tests/data/slice_header -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/visualization/wcsaxes/tests/data copying build/lib.linux-x86_64-2.7/astropy/visualization/wcsaxes/tests/data/cube_header -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/visualization/wcsaxes/tests/data copying build/lib.linux-x86_64-2.7/astropy/visualization/wcsaxes/tests/data/2MASS_k_header -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/visualization/wcsaxes/tests/data copying build/lib.linux-x86_64-2.7/astropy/visualization/wcsaxes/patches.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/visualization/wcsaxes copying build/lib.linux-x86_64-2.7/astropy/visualization/wcsaxes/ticklabels.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/visualization/wcsaxes copying build/lib.linux-x86_64-2.7/astropy/visualization/wcsaxes/grid_paths.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/visualization/wcsaxes copying build/lib.linux-x86_64-2.7/astropy/visualization/wcsaxes/formatter_locator.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/visualization/wcsaxes copying build/lib.linux-x86_64-2.7/astropy/visualization/wcsaxes/utils.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/visualization/wcsaxes copying build/lib.linux-x86_64-2.7/astropy/visualization/wcsaxes/transforms.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/visualization/wcsaxes copying build/lib.linux-x86_64-2.7/astropy/visualization/stretch.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/visualization creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/visualization/scripts copying build/lib.linux-x86_64-2.7/astropy/visualization/scripts/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/visualization/scripts copying build/lib.linux-x86_64-2.7/astropy/visualization/scripts/fits2bitmap.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/visualization/scripts creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/visualization/scripts/tests copying build/lib.linux-x86_64-2.7/astropy/visualization/scripts/tests/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/visualization/scripts/tests copying build/lib.linux-x86_64-2.7/astropy/visualization/scripts/tests/test_fits2bitmap.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/visualization/scripts/tests creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/visualization/tests copying build/lib.linux-x86_64-2.7/astropy/visualization/tests/test_norm.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/visualization/tests copying build/lib.linux-x86_64-2.7/astropy/visualization/tests/test_interval.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/visualization/tests copying build/lib.linux-x86_64-2.7/astropy/visualization/tests/test_lupton_rgb.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/visualization/tests copying build/lib.linux-x86_64-2.7/astropy/visualization/tests/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/visualization/tests copying build/lib.linux-x86_64-2.7/astropy/visualization/tests/test_units.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/visualization/tests copying build/lib.linux-x86_64-2.7/astropy/visualization/tests/test_stretch.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/visualization/tests copying build/lib.linux-x86_64-2.7/astropy/visualization/tests/test_histogram.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/visualization/tests copying build/lib.linux-x86_64-2.7/astropy/visualization/transform.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/visualization copying build/lib.linux-x86_64-2.7/astropy/visualization/mpl_normalize.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/visualization copying build/lib.linux-x86_64-2.7/astropy/visualization/interval.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/visualization creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/convolution copying build/lib.linux-x86_64-2.7/astropy/convolution/core.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/convolution copying build/lib.linux-x86_64-2.7/astropy/convolution/boundary_none.so -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/convolution copying build/lib.linux-x86_64-2.7/astropy/convolution/boundary_fill.so -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/convolution copying build/lib.linux-x86_64-2.7/astropy/convolution/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/convolution copying build/lib.linux-x86_64-2.7/astropy/convolution/convolve.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/convolution copying build/lib.linux-x86_64-2.7/astropy/convolution/boundary_wrap.so -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/convolution creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/convolution/tests copying build/lib.linux-x86_64-2.7/astropy/convolution/tests/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/convolution/tests copying build/lib.linux-x86_64-2.7/astropy/convolution/tests/test_kernel_class.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/convolution/tests copying build/lib.linux-x86_64-2.7/astropy/convolution/tests/test_convolve_fft.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/convolution/tests copying build/lib.linux-x86_64-2.7/astropy/convolution/tests/test_convolve.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/convolution/tests copying build/lib.linux-x86_64-2.7/astropy/convolution/tests/test_convolve_kernels.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/convolution/tests copying build/lib.linux-x86_64-2.7/astropy/convolution/tests/test_pickle.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/convolution/tests copying build/lib.linux-x86_64-2.7/astropy/convolution/tests/test_discretize.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/convolution/tests copying build/lib.linux-x86_64-2.7/astropy/convolution/tests/test_convolve_nddata.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/convolution/tests copying build/lib.linux-x86_64-2.7/astropy/convolution/tests/test_convolve_models.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/convolution/tests copying build/lib.linux-x86_64-2.7/astropy/convolution/tests/test_convolve_speeds.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/convolution/tests copying build/lib.linux-x86_64-2.7/astropy/convolution/setup_package.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/convolution copying build/lib.linux-x86_64-2.7/astropy/convolution/utils.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/convolution copying build/lib.linux-x86_64-2.7/astropy/convolution/kernels.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/convolution copying build/lib.linux-x86_64-2.7/astropy/convolution/boundary_extend.so -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/convolution creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/units copying build/lib.linux-x86_64-2.7/astropy/units/core.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/units copying build/lib.linux-x86_64-2.7/astropy/units/required_by_vounit.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/units copying build/lib.linux-x86_64-2.7/astropy/units/cds.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/units copying build/lib.linux-x86_64-2.7/astropy/units/astrophys.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/units copying build/lib.linux-x86_64-2.7/astropy/units/equivalencies.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/units copying build/lib.linux-x86_64-2.7/astropy/units/si.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/units copying build/lib.linux-x86_64-2.7/astropy/units/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/units copying build/lib.linux-x86_64-2.7/astropy/units/quantity.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/units creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/units/format copying build/lib.linux-x86_64-2.7/astropy/units/format/ogip_lextab.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/units/format copying build/lib.linux-x86_64-2.7/astropy/units/format/cds.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/units/format copying build/lib.linux-x86_64-2.7/astropy/units/format/generic_lextab.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/units/format copying build/lib.linux-x86_64-2.7/astropy/units/format/fits.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/units/format copying build/lib.linux-x86_64-2.7/astropy/units/format/ogip_parsetab.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/units/format copying build/lib.linux-x86_64-2.7/astropy/units/format/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/units/format copying build/lib.linux-x86_64-2.7/astropy/units/format/generic_parsetab.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/units/format copying build/lib.linux-x86_64-2.7/astropy/units/format/ogip.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/units/format copying build/lib.linux-x86_64-2.7/astropy/units/format/cds_parsetab.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/units/format copying build/lib.linux-x86_64-2.7/astropy/units/format/unicode_format.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/units/format copying build/lib.linux-x86_64-2.7/astropy/units/format/cds_lextab.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/units/format copying build/lib.linux-x86_64-2.7/astropy/units/format/console.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/units/format copying build/lib.linux-x86_64-2.7/astropy/units/format/vounit.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/units/format copying build/lib.linux-x86_64-2.7/astropy/units/format/utils.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/units/format copying build/lib.linux-x86_64-2.7/astropy/units/format/latex.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/units/format copying build/lib.linux-x86_64-2.7/astropy/units/format/generic.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/units/format copying build/lib.linux-x86_64-2.7/astropy/units/format/base.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/units/format copying build/lib.linux-x86_64-2.7/astropy/units/quantity_helper.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/units copying build/lib.linux-x86_64-2.7/astropy/units/physical.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/units creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/units/tests copying build/lib.linux-x86_64-2.7/astropy/units/tests/test_quantity_array_methods.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/units/tests copying build/lib.linux-x86_64-2.7/astropy/units/tests/py3_test_quantity_annotations.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/units/tests copying build/lib.linux-x86_64-2.7/astropy/units/tests/test_quantity_ufuncs.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/units/tests copying build/lib.linux-x86_64-2.7/astropy/units/tests/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/units/tests copying build/lib.linux-x86_64-2.7/astropy/units/tests/test_units.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/units/tests copying build/lib.linux-x86_64-2.7/astropy/units/tests/test_quantity.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/units/tests copying build/lib.linux-x86_64-2.7/astropy/units/tests/test_format.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/units/tests copying build/lib.linux-x86_64-2.7/astropy/units/tests/test_quantity_decorator.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/units/tests copying build/lib.linux-x86_64-2.7/astropy/units/tests/test_equivalencies.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/units/tests copying build/lib.linux-x86_64-2.7/astropy/units/tests/test_physical.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/units/tests copying build/lib.linux-x86_64-2.7/astropy/units/tests/test_deprecated.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/units/tests copying build/lib.linux-x86_64-2.7/astropy/units/tests/test_logarithmic.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/units/tests copying build/lib.linux-x86_64-2.7/astropy/units/tests/test_quantity_non_ufuncs.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/units/tests copying build/lib.linux-x86_64-2.7/astropy/units/imperial.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/units copying build/lib.linux-x86_64-2.7/astropy/units/deprecated.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/units copying build/lib.linux-x86_64-2.7/astropy/units/decorators.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/units creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/units/function copying build/lib.linux-x86_64-2.7/astropy/units/function/core.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/units/function copying build/lib.linux-x86_64-2.7/astropy/units/function/logarithmic.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/units/function copying build/lib.linux-x86_64-2.7/astropy/units/function/mixin.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/units/function copying build/lib.linux-x86_64-2.7/astropy/units/function/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/units/function copying build/lib.linux-x86_64-2.7/astropy/units/function/units.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/units/function copying build/lib.linux-x86_64-2.7/astropy/units/function/magnitude_zero_points.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/units/function copying build/lib.linux-x86_64-2.7/astropy/units/setup_package.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/units copying build/lib.linux-x86_64-2.7/astropy/units/cgs.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/units copying build/lib.linux-x86_64-2.7/astropy/units/utils.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/units creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/extern copying build/lib.linux-x86_64-2.7/astropy/extern/six.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/extern copying build/lib.linux-x86_64-2.7/astropy/extern/configobj.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/extern copying build/lib.linux-x86_64-2.7/astropy/extern/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/extern creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/extern/bundled copying build/lib.linux-x86_64-2.7/astropy/extern/bundled/six.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/extern/bundled copying build/lib.linux-x86_64-2.7/astropy/extern/bundled/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/extern/bundled copying build/lib.linux-x86_64-2.7/astropy/extern/setup_package.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/extern creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates copying build/lib.linux-x86_64-2.7/astropy/coordinates/errors.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates copying build/lib.linux-x86_64-2.7/astropy/coordinates/solar_system.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates copying build/lib.linux-x86_64-2.7/astropy/coordinates/angle_utilities.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates copying build/lib.linux-x86_64-2.7/astropy/coordinates/matching.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates copying build/lib.linux-x86_64-2.7/astropy/coordinates/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates copying build/lib.linux-x86_64-2.7/astropy/coordinates/transformations.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates copying build/lib.linux-x86_64-2.7/astropy/coordinates/angles.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates copying build/lib.linux-x86_64-2.7/astropy/coordinates/name_resolve.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates copying build/lib.linux-x86_64-2.7/astropy/coordinates/sites.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates copying build/lib.linux-x86_64-2.7/astropy/coordinates/baseframe.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates copying build/lib.linux-x86_64-2.7/astropy/coordinates/sky_coordinate.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates/tests copying build/lib.linux-x86_64-2.7/astropy/coordinates/tests/test_sky_coord.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates/tests copying build/lib.linux-x86_64-2.7/astropy/coordinates/tests/test_funcs.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates/tests copying build/lib.linux-x86_64-2.7/astropy/coordinates/tests/test_matrix_utilities.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates/tests copying build/lib.linux-x86_64-2.7/astropy/coordinates/tests/test_representation_methods.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates/tests copying build/lib.linux-x86_64-2.7/astropy/coordinates/tests/test_skyoffset_transformations.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates/tests copying build/lib.linux-x86_64-2.7/astropy/coordinates/tests/test_matching.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates/tests copying build/lib.linux-x86_64-2.7/astropy/coordinates/tests/test_regression.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates/tests copying build/lib.linux-x86_64-2.7/astropy/coordinates/tests/test_angular_separation.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates/tests copying build/lib.linux-x86_64-2.7/astropy/coordinates/tests/test_transformations.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates/tests copying build/lib.linux-x86_64-2.7/astropy/coordinates/tests/test_api_ape5.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates/tests copying build/lib.linux-x86_64-2.7/astropy/coordinates/tests/test_unit_representation.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates/tests copying build/lib.linux-x86_64-2.7/astropy/coordinates/tests/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates/tests copying build/lib.linux-x86_64-2.7/astropy/coordinates/tests/test_velocity_corrs.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates/tests copying build/lib.linux-x86_64-2.7/astropy/coordinates/tests/test_arrays.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates/tests copying build/lib.linux-x86_64-2.7/astropy/coordinates/tests/test_representation_arithmetic.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates/tests copying build/lib.linux-x86_64-2.7/astropy/coordinates/tests/test_formatting.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates/tests copying build/lib.linux-x86_64-2.7/astropy/coordinates/tests/test_frames.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates/tests copying build/lib.linux-x86_64-2.7/astropy/coordinates/tests/test_earth.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates/tests copying build/lib.linux-x86_64-2.7/astropy/coordinates/tests/test_solar_system.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates/tests copying build/lib.linux-x86_64-2.7/astropy/coordinates/tests/test_finite_difference_velocities.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates/tests copying build/lib.linux-x86_64-2.7/astropy/coordinates/tests/test_celestial_transformations.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates/tests copying build/lib.linux-x86_64-2.7/astropy/coordinates/tests/test_iau_fullstack.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates/tests copying build/lib.linux-x86_64-2.7/astropy/coordinates/tests/test_intermediate_transformations.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates/tests copying build/lib.linux-x86_64-2.7/astropy/coordinates/tests/test_sites.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates/tests copying build/lib.linux-x86_64-2.7/astropy/coordinates/tests/test_representation.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates/tests creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates/tests/accuracy copying build/lib.linux-x86_64-2.7/astropy/coordinates/tests/accuracy/galactic_fk4.csv -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates/tests/accuracy copying build/lib.linux-x86_64-2.7/astropy/coordinates/tests/accuracy/test_galactic_fk4.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates/tests/accuracy copying build/lib.linux-x86_64-2.7/astropy/coordinates/tests/accuracy/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates/tests/accuracy copying build/lib.linux-x86_64-2.7/astropy/coordinates/tests/accuracy/icrs_fk5.csv -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates/tests/accuracy copying build/lib.linux-x86_64-2.7/astropy/coordinates/tests/accuracy/test_fk4_no_e_fk4.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates/tests/accuracy copying build/lib.linux-x86_64-2.7/astropy/coordinates/tests/accuracy/fk4_no_e_fk5.csv -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates/tests/accuracy copying build/lib.linux-x86_64-2.7/astropy/coordinates/tests/accuracy/generate_ref_ast.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates/tests/accuracy copying build/lib.linux-x86_64-2.7/astropy/coordinates/tests/accuracy/test_altaz_icrs.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates/tests/accuracy copying build/lib.linux-x86_64-2.7/astropy/coordinates/tests/accuracy/test_ecliptic.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates/tests/accuracy copying build/lib.linux-x86_64-2.7/astropy/coordinates/tests/accuracy/test_icrs_fk5.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates/tests/accuracy copying build/lib.linux-x86_64-2.7/astropy/coordinates/tests/accuracy/fk4_no_e_fk4.csv -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates/tests/accuracy copying build/lib.linux-x86_64-2.7/astropy/coordinates/tests/accuracy/test_fk4_no_e_fk5.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates/tests/accuracy copying build/lib.linux-x86_64-2.7/astropy/coordinates/tests/test_distance.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates/tests copying build/lib.linux-x86_64-2.7/astropy/coordinates/tests/test_pickle.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates/tests copying build/lib.linux-x86_64-2.7/astropy/coordinates/tests/test_atc_replacements.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates/tests copying build/lib.linux-x86_64-2.7/astropy/coordinates/tests/test_shape_manipulation.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates/tests copying build/lib.linux-x86_64-2.7/astropy/coordinates/tests/utils.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates/tests copying build/lib.linux-x86_64-2.7/astropy/coordinates/tests/test_frames_with_velocity.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates/tests copying build/lib.linux-x86_64-2.7/astropy/coordinates/tests/test_name_resolve.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates/tests copying build/lib.linux-x86_64-2.7/astropy/coordinates/tests/test_angles.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates/tests copying build/lib.linux-x86_64-2.7/astropy/coordinates/angle_lextab.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates copying build/lib.linux-x86_64-2.7/astropy/coordinates/attributes.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates copying build/lib.linux-x86_64-2.7/astropy/coordinates/setup_package.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates copying build/lib.linux-x86_64-2.7/astropy/coordinates/matrix_utilities.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates copying build/lib.linux-x86_64-2.7/astropy/coordinates/angle_parsetab.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates/builtin_frames copying build/lib.linux-x86_64-2.7/astropy/coordinates/builtin_frames/hcrs.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates/builtin_frames copying build/lib.linux-x86_64-2.7/astropy/coordinates/builtin_frames/galactic_transforms.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates/builtin_frames copying build/lib.linux-x86_64-2.7/astropy/coordinates/builtin_frames/skyoffset.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates/builtin_frames copying build/lib.linux-x86_64-2.7/astropy/coordinates/builtin_frames/ecliptic.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates/builtin_frames copying build/lib.linux-x86_64-2.7/astropy/coordinates/builtin_frames/lsr.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates/builtin_frames copying build/lib.linux-x86_64-2.7/astropy/coordinates/builtin_frames/galactocentric.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates/builtin_frames copying build/lib.linux-x86_64-2.7/astropy/coordinates/builtin_frames/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates/builtin_frames copying build/lib.linux-x86_64-2.7/astropy/coordinates/builtin_frames/icrs_cirs_transforms.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates/builtin_frames copying build/lib.linux-x86_64-2.7/astropy/coordinates/builtin_frames/fk5.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates/builtin_frames copying build/lib.linux-x86_64-2.7/astropy/coordinates/builtin_frames/galactic.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates/builtin_frames copying build/lib.linux-x86_64-2.7/astropy/coordinates/builtin_frames/gcrs.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates/builtin_frames copying build/lib.linux-x86_64-2.7/astropy/coordinates/builtin_frames/altaz.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates/builtin_frames copying build/lib.linux-x86_64-2.7/astropy/coordinates/builtin_frames/ecliptic_transforms.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates/builtin_frames copying build/lib.linux-x86_64-2.7/astropy/coordinates/builtin_frames/cirs_observed_transforms.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates/builtin_frames copying build/lib.linux-x86_64-2.7/astropy/coordinates/builtin_frames/supergalactic_transforms.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates/builtin_frames copying build/lib.linux-x86_64-2.7/astropy/coordinates/builtin_frames/fk4.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates/builtin_frames copying build/lib.linux-x86_64-2.7/astropy/coordinates/builtin_frames/fk4_fk5_transforms.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates/builtin_frames copying build/lib.linux-x86_64-2.7/astropy/coordinates/builtin_frames/cirs.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates/builtin_frames copying build/lib.linux-x86_64-2.7/astropy/coordinates/builtin_frames/utils.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates/builtin_frames copying build/lib.linux-x86_64-2.7/astropy/coordinates/builtin_frames/baseradec.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates/builtin_frames copying build/lib.linux-x86_64-2.7/astropy/coordinates/builtin_frames/supergalactic.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates/builtin_frames copying build/lib.linux-x86_64-2.7/astropy/coordinates/builtin_frames/icrs_fk5_transforms.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates/builtin_frames copying build/lib.linux-x86_64-2.7/astropy/coordinates/builtin_frames/itrs.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates/builtin_frames copying build/lib.linux-x86_64-2.7/astropy/coordinates/builtin_frames/intermediate_rotation_transforms.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates/builtin_frames copying build/lib.linux-x86_64-2.7/astropy/coordinates/builtin_frames/icrs.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates/builtin_frames copying build/lib.linux-x86_64-2.7/astropy/coordinates/earth.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates copying build/lib.linux-x86_64-2.7/astropy/coordinates/representation.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates copying build/lib.linux-x86_64-2.7/astropy/coordinates/orbital_elements.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates copying build/lib.linux-x86_64-2.7/astropy/coordinates/calculation.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates copying build/lib.linux-x86_64-2.7/astropy/coordinates/distances.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates/data copying build/lib.linux-x86_64-2.7/astropy/coordinates/data/sites.json -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates/data copying build/lib.linux-x86_64-2.7/astropy/coordinates/data/constellation_data_roman87.dat -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates/data copying build/lib.linux-x86_64-2.7/astropy/coordinates/data/constellation_names.dat -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates/data copying build/lib.linux-x86_64-2.7/astropy/coordinates/earth_orientation.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates copying build/lib.linux-x86_64-2.7/astropy/coordinates/funcs.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/coordinates creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/misc copying build/lib.linux-x86_64-2.7/astropy/io/misc/connect.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/misc copying build/lib.linux-x86_64-2.7/astropy/io/misc/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/misc creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/misc/tests copying build/lib.linux-x86_64-2.7/astropy/io/misc/tests/test_hdf5.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/misc/tests copying build/lib.linux-x86_64-2.7/astropy/io/misc/tests/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/misc/tests copying build/lib.linux-x86_64-2.7/astropy/io/misc/tests/test_yaml.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/misc/tests copying build/lib.linux-x86_64-2.7/astropy/io/misc/tests/test_pickle_helpers.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/misc/tests copying build/lib.linux-x86_64-2.7/astropy/io/misc/pickle_helpers.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/misc copying build/lib.linux-x86_64-2.7/astropy/io/misc/yaml.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/misc copying build/lib.linux-x86_64-2.7/astropy/io/misc/hdf5.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/misc copying build/lib.linux-x86_64-2.7/astropy/io/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io copying build/lib.linux-x86_64-2.7/astropy/io/registry.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii copying build/lib.linux-x86_64-2.7/astropy/io/ascii/fixedwidth.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii copying build/lib.linux-x86_64-2.7/astropy/io/ascii/core.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii copying build/lib.linux-x86_64-2.7/astropy/io/ascii/cds.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii copying build/lib.linux-x86_64-2.7/astropy/io/ascii/html.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii copying build/lib.linux-x86_64-2.7/astropy/io/ascii/connect.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii copying build/lib.linux-x86_64-2.7/astropy/io/ascii/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii copying build/lib.linux-x86_64-2.7/astropy/io/ascii/daophot.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii copying build/lib.linux-x86_64-2.7/astropy/io/ascii/ipac.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii copying build/lib.linux-x86_64-2.7/astropy/io/ascii/ecsv.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii/tests copying build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/test_html.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii/tests copying build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/test_c_reader.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii/tests copying build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/test_connect.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii/tests copying build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/test_fixedwidth.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii/tests copying build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/test_ecsv.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii/tests copying build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/test_read.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii/tests copying build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/test_write.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii/tests copying build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii/tests copying build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/common.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii/tests copying build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/test_cds_header_from_readme.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii/tests copying build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/test_compressed.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii/tests copying build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/test_rst.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii/tests copying build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/test_types.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii/tests creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t/daophot3.dat -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t/simple.txt -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t/simple2.txt -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t/latex1.tex.gz -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t/cds_malformed.dat -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t/bars_at_ends.txt -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t/short.rdb.xz -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t/sextractor2.dat -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t/latex2.tex -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t/cds.dat -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t/no_data_cds.dat -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t/latex1.tex -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t/simple5.txt -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t/short.tab -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t/vots_spec.dat -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t/html.html -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t/daophot.dat -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t/commented_header.dat -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t/ipac.dat -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t/apostrophe.rdb -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t/nls1_stackinfo.dbout -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t/short.rdb -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t/daophot.dat.gz -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t/latex3.tex -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t/simple_csv.csv -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t/simple_csv_missing.csv -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t/daophot4.dat -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t/daophot2.dat -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t/cds2.dat -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t/fixed_width_2_line.txt -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t/no_data_without_header.dat -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii/tests/t creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii/tests/t/vizier copying build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t/vizier/table5.dat -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii/tests/t/vizier copying build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t/vizier/table1.dat -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii/tests/t/vizier copying build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t/vizier/ReadMe -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii/tests/t/vizier copying build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t/no_data_with_header.dat -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t/fill_values.txt -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t/bad.txt -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t/html2.html -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t/no_data_sextractor.dat -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t/short.rdb.bz2 -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t/space_delim_no_names.dat -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t/sextractor.dat -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t/short.rdb.gz -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t/space_delim_no_header.dat -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t/simple4.txt -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t/no_data_ipac.dat -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t/test5.dat -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t/no_data_daophot.dat -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t/commented_header2.dat -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t/continuation.dat -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t/sextractor3.dat -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t/ipac.dat.xz -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t/ipac.dat.bz2 -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t/test4.dat -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t/simple3.txt -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t/space_delim_blank_lines.txt -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii/tests/t creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii/tests/t/cds creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii/tests/t/cds/description copying build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t/cds/description/table.dat -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii/tests/t/cds/description copying build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t/cds/description/ReadMe -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii/tests/t/cds/description creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii/tests/t/cds/glob copying build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t/cds/glob/lmxbrefs.dat -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii/tests/t/cds/glob copying build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t/cds/glob/ReadMe -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii/tests/t/cds/glob creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii/tests/t/cds/multi copying build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t/cds/multi/lhs2065.dat -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii/tests/t/cds/multi copying build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t/cds/multi/lp944-20.dat -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii/tests/t/cds/multi copying build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t/cds/multi/ReadMe -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii/tests/t/cds/multi copying build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t/apostrophe.tab -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/t/whitespace.dat -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii/tests/t copying build/lib.linux-x86_64-2.7/astropy/io/ascii/tests/test_ipac_definitions.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii/tests copying build/lib.linux-x86_64-2.7/astropy/io/ascii/cparser.so -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii copying build/lib.linux-x86_64-2.7/astropy/io/ascii/sextractor.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii copying build/lib.linux-x86_64-2.7/astropy/io/ascii/setup_package.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii copying build/lib.linux-x86_64-2.7/astropy/io/ascii/latex.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii copying build/lib.linux-x86_64-2.7/astropy/io/ascii/misc.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii copying build/lib.linux-x86_64-2.7/astropy/io/ascii/fastbasic.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii copying build/lib.linux-x86_64-2.7/astropy/io/ascii/basic.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii copying build/lib.linux-x86_64-2.7/astropy/io/ascii/rst.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii copying build/lib.linux-x86_64-2.7/astropy/io/ascii/ui.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/ascii creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/tests copying build/lib.linux-x86_64-2.7/astropy/io/tests/test_registry.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/tests copying build/lib.linux-x86_64-2.7/astropy/io/tests/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/tests creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/votable copying build/lib.linux-x86_64-2.7/astropy/io/votable/tree.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/votable copying build/lib.linux-x86_64-2.7/astropy/io/votable/table.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/votable copying build/lib.linux-x86_64-2.7/astropy/io/votable/volint.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/votable copying build/lib.linux-x86_64-2.7/astropy/io/votable/xmlutil.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/votable copying build/lib.linux-x86_64-2.7/astropy/io/votable/connect.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/votable copying build/lib.linux-x86_64-2.7/astropy/io/votable/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/votable copying build/lib.linux-x86_64-2.7/astropy/io/votable/ucd.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/votable copying build/lib.linux-x86_64-2.7/astropy/io/votable/exceptions.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/votable creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/votable/tests copying build/lib.linux-x86_64-2.7/astropy/io/votable/tests/exception_test.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/votable/tests copying build/lib.linux-x86_64-2.7/astropy/io/votable/tests/util_test.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/votable/tests copying build/lib.linux-x86_64-2.7/astropy/io/votable/tests/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/votable/tests copying build/lib.linux-x86_64-2.7/astropy/io/votable/tests/tree_test.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/votable/tests copying build/lib.linux-x86_64-2.7/astropy/io/votable/tests/ucd_test.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/votable/tests copying build/lib.linux-x86_64-2.7/astropy/io/votable/tests/converter_test.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/votable/tests copying build/lib.linux-x86_64-2.7/astropy/io/votable/tests/vo_test.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/votable/tests copying build/lib.linux-x86_64-2.7/astropy/io/votable/tests/table_test.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/votable/tests creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/votable/tests/data copying build/lib.linux-x86_64-2.7/astropy/io/votable/tests/data/names.xml -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/votable/tests/data copying build/lib.linux-x86_64-2.7/astropy/io/votable/tests/data/gemini.xml -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/votable/tests/data copying build/lib.linux-x86_64-2.7/astropy/io/votable/tests/data/empty_table.xml -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/votable/tests/data copying build/lib.linux-x86_64-2.7/astropy/io/votable/tests/data/irsa-nph-m31.xml -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/votable/tests/data copying build/lib.linux-x86_64-2.7/astropy/io/votable/tests/data/nonstandard_units.xml -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/votable/tests/data copying build/lib.linux-x86_64-2.7/astropy/io/votable/tests/data/no_resource.xml -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/votable/tests/data copying build/lib.linux-x86_64-2.7/astropy/io/votable/tests/data/no_resource.txt -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/votable/tests/data copying build/lib.linux-x86_64-2.7/astropy/io/votable/tests/data/tb.fits -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/votable/tests/data copying build/lib.linux-x86_64-2.7/astropy/io/votable/tests/data/irsa-nph-error.xml -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/votable/tests/data copying build/lib.linux-x86_64-2.7/astropy/io/votable/tests/data/custom_datatype.xml -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/votable/tests/data copying build/lib.linux-x86_64-2.7/astropy/io/votable/tests/data/regression.xml -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/votable/tests/data copying build/lib.linux-x86_64-2.7/astropy/io/votable/tests/data/validation.txt -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/votable/tests/data copying build/lib.linux-x86_64-2.7/astropy/io/votable/tests/data/regression.bin.tabledata.truth.1.3.xml -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/votable/tests/data copying build/lib.linux-x86_64-2.7/astropy/io/votable/tests/data/regression.bin.tabledata.truth.1.1.xml -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/votable/tests/data copying build/lib.linux-x86_64-2.7/astropy/io/votable/tests/data/too_many_columns.xml.gz -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/votable/tests/data creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/votable/validator copying build/lib.linux-x86_64-2.7/astropy/io/votable/validator/html.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/votable/validator copying build/lib.linux-x86_64-2.7/astropy/io/votable/validator/result.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/votable/validator copying build/lib.linux-x86_64-2.7/astropy/io/votable/validator/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/votable/validator copying build/lib.linux-x86_64-2.7/astropy/io/votable/validator/main.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/votable/validator creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/votable/validator/urls copying build/lib.linux-x86_64-2.7/astropy/io/votable/validator/urls/cone.broken.dat.gz -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/votable/validator/urls copying build/lib.linux-x86_64-2.7/astropy/io/votable/validator/urls/cone.big.dat.gz -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/votable/validator/urls copying build/lib.linux-x86_64-2.7/astropy/io/votable/validator/urls/cone.incorrect.dat.gz -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/votable/validator/urls copying build/lib.linux-x86_64-2.7/astropy/io/votable/validator/urls/cone.good.dat.gz -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/votable/validator/urls copying build/lib.linux-x86_64-2.7/astropy/io/votable/setup_package.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/votable copying build/lib.linux-x86_64-2.7/astropy/io/votable/util.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/votable copying build/lib.linux-x86_64-2.7/astropy/io/votable/tablewriter.so -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/votable creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/votable/data copying build/lib.linux-x86_64-2.7/astropy/io/votable/data/VOTable.v1.1.xsd -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/votable/data copying build/lib.linux-x86_64-2.7/astropy/io/votable/data/VOTable.dtd -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/votable/data copying build/lib.linux-x86_64-2.7/astropy/io/votable/data/ucd1p-words.txt -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/votable/data copying build/lib.linux-x86_64-2.7/astropy/io/votable/data/VOTable.v1.3.xsd -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/votable/data copying build/lib.linux-x86_64-2.7/astropy/io/votable/data/VOTable.v1.2.xsd -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/votable/data copying build/lib.linux-x86_64-2.7/astropy/io/votable/converters.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/votable copying build/lib.linux-x86_64-2.7/astropy/io/setup_package.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/fits copying build/lib.linux-x86_64-2.7/astropy/io/fits/fitsrec.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/fits copying build/lib.linux-x86_64-2.7/astropy/io/fits/file.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/fits copying build/lib.linux-x86_64-2.7/astropy/io/fits/verify.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/fits copying build/lib.linux-x86_64-2.7/astropy/io/fits/convenience.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/fits creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/fits/hdu copying build/lib.linux-x86_64-2.7/astropy/io/fits/hdu/table.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/fits/hdu copying build/lib.linux-x86_64-2.7/astropy/io/fits/hdu/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/fits/hdu copying build/lib.linux-x86_64-2.7/astropy/io/fits/hdu/groups.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/fits/hdu copying build/lib.linux-x86_64-2.7/astropy/io/fits/hdu/compressed.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/fits/hdu copying build/lib.linux-x86_64-2.7/astropy/io/fits/hdu/hdulist.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/fits/hdu copying build/lib.linux-x86_64-2.7/astropy/io/fits/hdu/image.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/fits/hdu copying build/lib.linux-x86_64-2.7/astropy/io/fits/hdu/nonstandard.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/fits/hdu copying build/lib.linux-x86_64-2.7/astropy/io/fits/hdu/streaming.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/fits/hdu copying build/lib.linux-x86_64-2.7/astropy/io/fits/hdu/base.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/fits/hdu copying build/lib.linux-x86_64-2.7/astropy/io/fits/connect.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/fits copying build/lib.linux-x86_64-2.7/astropy/io/fits/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/fits copying build/lib.linux-x86_64-2.7/astropy/io/fits/diff.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/fits copying build/lib.linux-x86_64-2.7/astropy/io/fits/column.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/fits copying build/lib.linux-x86_64-2.7/astropy/io/fits/compression.so -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/fits creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/fits/scripts copying build/lib.linux-x86_64-2.7/astropy/io/fits/scripts/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/fits/scripts copying build/lib.linux-x86_64-2.7/astropy/io/fits/scripts/fitsdiff.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/fits/scripts copying build/lib.linux-x86_64-2.7/astropy/io/fits/scripts/fitsheader.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/fits/scripts copying build/lib.linux-x86_64-2.7/astropy/io/fits/scripts/fitsinfo.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/fits/scripts copying build/lib.linux-x86_64-2.7/astropy/io/fits/scripts/fitscheck.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/fits/scripts creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/fits/tests copying build/lib.linux-x86_64-2.7/astropy/io/fits/tests/test_core.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/fits/tests copying build/lib.linux-x86_64-2.7/astropy/io/fits/tests/test_division.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/fits/tests copying build/lib.linux-x86_64-2.7/astropy/io/fits/tests/test_connect.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/fits/tests copying build/lib.linux-x86_64-2.7/astropy/io/fits/tests/test_nonstandard.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/fits/tests copying build/lib.linux-x86_64-2.7/astropy/io/fits/tests/test_hdulist.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/fits/tests copying build/lib.linux-x86_64-2.7/astropy/io/fits/tests/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/fits/tests copying build/lib.linux-x86_64-2.7/astropy/io/fits/tests/test_structured.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/fits/tests copying build/lib.linux-x86_64-2.7/astropy/io/fits/tests/test_image.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/fits/tests copying build/lib.linux-x86_64-2.7/astropy/io/fits/tests/test_util.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/fits/tests copying build/lib.linux-x86_64-2.7/astropy/io/fits/tests/test_checksum.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/fits/tests copying build/lib.linux-x86_64-2.7/astropy/io/fits/tests/test_convenience.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/fits/tests copying build/lib.linux-x86_64-2.7/astropy/io/fits/tests/test_header.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/fits/tests copying build/lib.linux-x86_64-2.7/astropy/io/fits/tests/test_uint.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/fits/tests copying build/lib.linux-x86_64-2.7/astropy/io/fits/tests/test_groups.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/fits/tests copying build/lib.linux-x86_64-2.7/astropy/io/fits/tests/test_diff.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/fits/tests copying build/lib.linux-x86_64-2.7/astropy/io/fits/tests/test_table.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/fits/tests copying build/lib.linux-x86_64-2.7/astropy/io/fits/tests/test_fitsdiff.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/fits/tests creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/fits/tests/data copying build/lib.linux-x86_64-2.7/astropy/io/fits/tests/data/test0.fits -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/fits/tests/data copying build/lib.linux-x86_64-2.7/astropy/io/fits/tests/data/zerowidth.fits -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/fits/tests/data copying build/lib.linux-x86_64-2.7/astropy/io/fits/tests/data/ascii.fits -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/fits/tests/data copying build/lib.linux-x86_64-2.7/astropy/io/fits/tests/data/arange.fits -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/fits/tests/data copying build/lib.linux-x86_64-2.7/astropy/io/fits/tests/data/memtest.fits -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/fits/tests/data copying build/lib.linux-x86_64-2.7/astropy/io/fits/tests/data/fixed-1890.fits -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/fits/tests/data copying build/lib.linux-x86_64-2.7/astropy/io/fits/tests/data/comp.fits -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/fits/tests/data copying build/lib.linux-x86_64-2.7/astropy/io/fits/tests/data/checksum.fits -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/fits/tests/data copying build/lib.linux-x86_64-2.7/astropy/io/fits/tests/data/tb.fits -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/fits/tests/data copying build/lib.linux-x86_64-2.7/astropy/io/fits/tests/data/random_groups.fits -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/fits/tests/data copying build/lib.linux-x86_64-2.7/astropy/io/fits/tests/data/scale.fits -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/fits/tests/data copying build/lib.linux-x86_64-2.7/astropy/io/fits/tests/data/blank.fits -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/fits/tests/data copying build/lib.linux-x86_64-2.7/astropy/io/fits/tests/data/o4sp040b0_raw.fits -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/fits/tests/data copying build/lib.linux-x86_64-2.7/astropy/io/fits/tests/data/compressed_float_bzero.fits -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/fits/tests/data copying build/lib.linux-x86_64-2.7/astropy/io/fits/tests/data/stddata.fits -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/fits/tests/data copying build/lib.linux-x86_64-2.7/astropy/io/fits/tests/data/tdim.fits -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/fits/tests/data copying build/lib.linux-x86_64-2.7/astropy/io/fits/tests/data/table.fits -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/fits/tests/data copying build/lib.linux-x86_64-2.7/astropy/io/fits/card.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/fits copying build/lib.linux-x86_64-2.7/astropy/io/fits/setup_package.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/fits copying build/lib.linux-x86_64-2.7/astropy/io/fits/util.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/fits copying build/lib.linux-x86_64-2.7/astropy/io/fits/py3compat.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/fits copying build/lib.linux-x86_64-2.7/astropy/io/fits/_numpy_hacks.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/fits copying build/lib.linux-x86_64-2.7/astropy/io/fits/header.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy/io/fits running install_egg_info running egg_info writing requirements to astropy.egg-info/requires.txt writing astropy.egg-info/PKG-INFO writing top-level names to astropy.egg-info/top_level.txt writing dependency_links to astropy.egg-info/dependency_links.txt deleting astropy.egg-info/entry_points.txt reading manifest file 'astropy.egg-info/SOURCES.txt' writing manifest file 'astropy.egg-info/SOURCES.txt' Copying astropy.egg-info to /<>/debian/tmp/usr/lib/python2.7/dist-packages/astropy-2.0.2.egg-info Skipping SOURCES.txt running install_scripts make[1]: Leaving directory '/<>' dh_install debian/rules override_dh_installdocs-indep make[1]: Entering directory '/<>' debian/rules:34: warning: overriding recipe for target 'override_dh_auto_build' debian/rules:25: warning: ignoring old recipe for target 'override_dh_auto_build' python3 setup.py build_docs running build_docs creating /<>/docs/_build creating /<>/docs/_build/doctrees creating /<>/docs/_build/html running build running build_py running pre_hook from astropy._erfa.setup_package for build_py command running pre_hook from astropy.modeling.setup_package for build_py command running build_ext running pre_hook from astropy._erfa.setup_package for build_ext command running pre_hook from astropy.modeling.setup_package for build_ext command building 'astropy._compiler' extension x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/python3.6m -c astropy/_compiler.c -o build/temp.linux-x86_64-3.6/astropy/_compiler.o x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -specs=/usr/share/dpkg/no-pie-link.specs -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-3.6/astropy/_compiler.o -o build/lib.linux-x86_64-3.6/astropy/_compiler.cpython-36m-x86_64-linux-gnu.so Running Sphinx v1.6.5 Generating grammar tables from /usr/share/sphinx/pycode/Grammar-py3.txt WARNING: The sphinx_gallery extension is not installed, so the gallery will not be built. You will probably see additional warnings about undefined references due to this. loading pickled environment... not yet created loading intersphinx inventory from https://docs.python.org/3/objects.inv... WARNING: intersphinx inventory 'https://docs.python.org/3/objects.inv' not fetchable due to : HTTPSConnectionPool(host='docs.python.org', port=443): Max retries exceeded with url: /3/objects.inv (Caused by NewConnectionError(': Failed to establish a new connection: [Errno -2] Name or service not known',)) loading intersphinx inventory from http://data.astropy.org/intersphinx/python3.inv... WARNING: intersphinx inventory 'http://data.astropy.org/intersphinx/python3.inv' not fetchable due to : HTTPConnectionPool(host='127.0.9.1', port=9): Max retries exceeded with url: http://data.astropy.org/intersphinx/python3.inv (Caused by ProxyError('Cannot connect to proxy.', NewConnectionError(': Failed to establish a new connection: [Errno 111] Connection refused',))) loading intersphinx inventory from /<>/astropy_helpers/astropy_helpers/sphinx/local/python3_local_links.inv... loading intersphinx inventory from https://docs.scipy.org/doc/numpy/objects.inv... WARNING: intersphinx inventory 'https://docs.scipy.org/doc/numpy/objects.inv' not fetchable due to : HTTPSConnectionPool(host='docs.scipy.org', port=443): Max retries exceeded with url: /doc/numpy/objects.inv (Caused by NewConnectionError(': Failed to establish a new connection: [Errno -2] Name or service not known',)) loading intersphinx inventory from http://data.astropy.org/intersphinx/numpy.inv... WARNING: intersphinx inventory 'http://data.astropy.org/intersphinx/numpy.inv' not fetchable due to : HTTPConnectionPool(host='127.0.9.1', port=9): Max retries exceeded with url: http://data.astropy.org/intersphinx/numpy.inv (Caused by ProxyError('Cannot connect to proxy.', NewConnectionError(': Failed to establish a new connection: [Errno 111] Connection refused',))) loading intersphinx inventory from https://docs.scipy.org/doc/scipy/reference/objects.inv... WARNING: intersphinx inventory 'https://docs.scipy.org/doc/scipy/reference/objects.inv' not fetchable due to : HTTPSConnectionPool(host='docs.scipy.org', port=443): Max retries exceeded with url: /doc/scipy/reference/objects.inv (Caused by NewConnectionError(': Failed to establish a new connection: [Errno -2] Name or service not known',)) loading intersphinx inventory from http://data.astropy.org/intersphinx/scipy.inv... WARNING: intersphinx inventory 'http://data.astropy.org/intersphinx/scipy.inv' not fetchable due to : HTTPConnectionPool(host='127.0.9.1', port=9): Max retries exceeded with url: http://data.astropy.org/intersphinx/scipy.inv (Caused by ProxyError('Cannot connect to proxy.', NewConnectionError(': Failed to establish a new connection: [Errno 111] Connection refused',))) loading intersphinx inventory from http://matplotlib.org/objects.inv... WARNING: intersphinx inventory 'http://matplotlib.org/objects.inv' not fetchable due to : HTTPConnectionPool(host='127.0.9.1', port=9): Max retries exceeded with url: http://matplotlib.org/objects.inv (Caused by ProxyError('Cannot connect to proxy.', NewConnectionError(': Failed to establish a new connection: [Errno 111] Connection refused',))) loading intersphinx inventory from http://data.astropy.org/intersphinx/matplotlib.inv... WARNING: intersphinx inventory 'http://data.astropy.org/intersphinx/matplotlib.inv' not fetchable due to : HTTPConnectionPool(host='127.0.9.1', port=9): Max retries exceeded with url: http://data.astropy.org/intersphinx/matplotlib.inv (Caused by ProxyError('Cannot connect to proxy.', NewConnectionError(': Failed to establish a new connection: [Errno 111] Connection refused',))) loading intersphinx inventory from http://docs.h5py.org/en/latest/objects.inv... WARNING: intersphinx inventory 'http://docs.h5py.org/en/latest/objects.inv' not fetchable due to : HTTPConnectionPool(host='127.0.9.1', port=9): Max retries exceeded with url: http://docs.h5py.org/en/latest/objects.inv (Caused by ProxyError('Cannot connect to proxy.', NewConnectionError(': Failed to establish a new connection: [Errno 111] Connection refused',))) loading intersphinx inventory from https://docs.pytest.org/en/latest/objects.inv... WARNING: intersphinx inventory 'https://docs.pytest.org/en/latest/objects.inv' not fetchable due to : HTTPSConnectionPool(host='docs.pytest.org', port=443): Max retries exceeded with url: /en/latest/objects.inv (Caused by NewConnectionError(': Failed to establish a new connection: [Errno -2] Name or service not known',)) loading intersphinx inventory from http://ipython.readthedocs.io/en/stable/objects.inv... WARNING: intersphinx inventory 'http://ipython.readthedocs.io/en/stable/objects.inv' not fetchable due to : HTTPConnectionPool(host='127.0.9.1', port=9): Max retries exceeded with url: http://ipython.readthedocs.io/en/stable/objects.inv (Caused by ProxyError('Cannot connect to proxy.', NewConnectionError(': Failed to establish a new connection: [Errno 111] Connection refused',))) loading intersphinx inventory from http://pandas.pydata.org/pandas-docs/stable/objects.inv... WARNING: intersphinx inventory 'http://pandas.pydata.org/pandas-docs/stable/objects.inv' not fetchable due to : HTTPConnectionPool(host='127.0.9.1', port=9): Max retries exceeded with url: http://pandas.pydata.org/pandas-docs/stable/objects.inv (Caused by ProxyError('Cannot connect to proxy.', NewConnectionError(': Failed to establish a new connection: [Errno 111] Connection refused',))) loading intersphinx inventory from https://sphinx-automodapi.readthedocs.io/en/stable/objects.inv... WARNING: intersphinx inventory 'https://sphinx-automodapi.readthedocs.io/en/stable/objects.inv' not fetchable due to : HTTPSConnectionPool(host='sphinx-automodapi.readthedocs.io', port=443): Max retries exceeded with url: /en/stable/objects.inv (Caused by NewConnectionError(': Failed to establish a new connection: [Errno -2] Name or service not known',)) [autosummary] generating autosummary for: analytic_functions/index.rst, changelog.rst, config/config_0_4_transition.rst, config/index.rst, constants/index.rst, convolution/index.rst, convolution/kernels.rst, convolution/non_normalized_kernels.rst, convolution/using.rst, coordinates/angles.rst, ..., whatsnew/0.1.rst, whatsnew/0.2.rst, whatsnew/0.3.rst, whatsnew/0.4.rst, whatsnew/1.0.rst, whatsnew/1.1.rst, whatsnew/1.2.rst, whatsnew/1.3.rst, whatsnew/2.0.rst, whatsnew/index.rst [automodsumm] io/votable/index.rst: found 33 automodsumm entries to generate [automodsumm] utils/index.rst: found 99 automodsumm entries to generate [automodsumm] vo/conesearch/index.rst: found 27 automodsumm entries to generate [automodsumm] io/misc.rst: found 9 automodsumm entries to generate [automodsumm] nddata/utils.rst: found 9 automodsumm entries to generate [automodsumm] table/index.rst: found 25 automodsumm entries to generate [automodsumm] samp/index.rst: found 11 automodsumm entries to generate [automodsumm] visualization/wcsaxes/index.rst: found 10 automodsumm entries to generate [automodsumm] wcs/index.rst: found 30 automodsumm entries to generate [automodsumm] cosmology/index.rst: found 11 automodsumm entries to generate [automodsumm] time/index.rst: found 31 automodsumm entries to generate [automodsumm] analytic_functions/index.rst: found 2 automodsumm entries to generate [automodsumm] visualization/index.rst: found 26 automodsumm entries to generate [automodsumm] io/ascii/index.rst: found 55 automodsumm entries to generate [automodsumm] modeling/index.rst: found 193 automodsumm entries to generate [automodsumm] units/index.rst: found 93 automodsumm entries to generate [automodsumm] stats/circ.rst: found 7 automodsumm entries to generate [automodsumm] stats/index.rst: found 39 automodsumm entries to generate [automodsumm] testhelpers.rst: found 13 automodsumm entries to generate [automodsumm] logging.rst: found 3 automodsumm entries to generate [automodsumm] nddata/index.rst: found 36 automodsumm entries to generate [automodsumm] convolution/index.rst: found 24 automodsumm entries to generate [automodsumm] constants/index.rst: found 2 automodsumm entries to generate [automodsumm] config/index.rst: found 10 automodsumm entries to generate [automodsumm] coordinates/index.rst: found 94 automodsumm entries to generate [automodsumm] io/registry.rst: found 11 automodsumm entries to generate [automodsumm] stats/robust.rst: found 5 automodsumm entries to generate building [mo]: all of 0 po files building [html]: all source files updating environment: 1075 added, 0 changed, 0 removed reading sources... 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[100%] whatsnew/index WARNING: failed to download http://maia.usno.navy.mil/ser7/finals2000A.all, using local IERS-B: [astropy.utils.iers.iers] /<>/docs/convolution/index.rst:30: WARNING: Exception occurred in plotting index-1 from /<>/docs/convolution/index.rst: Traceback (most recent call last): File "/usr/lib/python3/dist-packages/matplotlib/sphinxext/plot_directive.py", line 520, in run_code six.exec_(code, ns) File "", line 12, in File "/<>/build/lib.linux-x86_64-3.6/astropy/utils/data.py", line 632, in get_pkg_data_filename "repositories:\n\n{1}".format(data_name, urls)) urllib.error.URLError: /<>/docs/convolution/index.rst:258: WARNING: Exception occurred in plotting index-3 from /<>/docs/convolution/index.rst: Traceback (most recent call last): File "/usr/lib/python3/dist-packages/matplotlib/sphinxext/plot_directive.py", line 520, in run_code six.exec_(code, ns) File "", line 9, in File "/<>/build/lib.linux-x86_64-3.6/astropy/utils/data.py", line 632, in get_pkg_data_filename "repositories:\n\n{1}".format(data_name, urls)) urllib.error.URLError: /<>/docs/convolution/index.rst:315: WARNING: Exception occurred in plotting index-4 from /<>/docs/convolution/index.rst: Traceback (most recent call last): File "/usr/lib/python3/dist-packages/matplotlib/sphinxext/plot_directive.py", line 520, in run_code six.exec_(code, ns) File "", line 9, in File "/<>/build/lib.linux-x86_64-3.6/astropy/utils/data.py", line 632, in get_pkg_data_filename "repositories:\n\n{1}".format(data_name, urls)) urllib.error.URLError: /<>/docs/convolution/non_normalized_kernels.rst:15: WARNING: Exception occurred in plotting non_normalized_kernels-1 from /<>/docs/convolution/non_normalized_kernels.rst: Traceback (most recent call last): File "/usr/lib/python3/dist-packages/matplotlib/sphinxext/plot_directive.py", line 520, in run_code six.exec_(code, ns) File "", line 12, in File "/<>/build/lib.linux-x86_64-3.6/astropy/utils/data.py", line 632, in get_pkg_data_filename "repositories:\n\n{1}".format(data_name, urls)) urllib.error.URLError: /<>/docs/convolution/non_normalized_kernels.rst:59: WARNING: Exception occurred in plotting non_normalized_kernels-2 from /<>/docs/convolution/non_normalized_kernels.rst: Traceback (most recent call last): File "/usr/lib/python3/dist-packages/matplotlib/sphinxext/plot_directive.py", line 520, in run_code six.exec_(code, ns) File "", line 6, in NameError: name 'img' is not defined WARNING: failed to download http://maia.usno.navy.mil/ser7/finals2000A.all, using local IERS-B: /<>/docs/index.rst:41: WARNING: toctree contains reference to nonexisting document 'generated/examples/index' /<>/docs/nddata/index.rst:243: WARNING: Exception occurred in plotting index-4 from /<>/docs/nddata/index.rst: Traceback (most recent call last): File "/usr/lib/python3/dist-packages/matplotlib/sphinxext/plot_directive.py", line 520, in run_code six.exec_(code, ns) File "", line 19, in File "/<>/build/lib.linux-x86_64-3.6/astropy/utils/decorators.py", line 868, in block_reduce func = make_function_with_signature(func, name=name, **wrapped_args) File "/<>/build/lib.linux-x86_64-3.6/astropy/nddata/decorators.py", line 249, in wrapper result = func(data, *args, **kwargs) File "/<>/build/lib.linux-x86_64-3.6/astropy/nddata/utils.py", line 391, in block_reduce from skimage.measure import block_reduce ModuleNotFoundError: No module named 'skimage' /<>/docs/visualization/lupton_rgb.rst:39: WARNING: Exception occurred in plotting lupton_rgb-2 from /<>/docs/visualization/lupton_rgb.rst: Traceback (most recent call last): File "/usr/lib/python3/dist-packages/matplotlib/sphinxext/plot_directive.py", line 520, in run_code six.exec_(code, ns) File "", line 8, in File "/<>/build/lib.linux-x86_64-3.6/astropy/utils/data.py", line 632, in get_pkg_data_filename "repositories:\n\n{1}".format(data_name, urls)) urllib.error.URLError: /<>/docs/visualization/lupton_rgb.rst:66: WARNING: Exception occurred in plotting lupton_rgb-3 from /<>/docs/visualization/lupton_rgb.rst: Traceback (most recent call last): File "/usr/lib/python3/dist-packages/matplotlib/sphinxext/plot_directive.py", line 520, in run_code six.exec_(code, ns) File "", line 1, in NameError: name 'i' is not defined /<>/docs/visualization/wcsaxes/controlling_axes.rst:13: WARNING: Exception occurred in plotting controlling_axes-1 from /<>/docs/visualization/wcsaxes/controlling_axes.rst: Traceback (most recent call last): File "/usr/lib/python3/dist-packages/matplotlib/sphinxext/plot_directive.py", line 520, in run_code six.exec_(code, ns) File "", line 5, in File "/<>/build/lib.linux-x86_64-3.6/astropy/utils/data.py", line 632, in get_pkg_data_filename "repositories:\n\n{1}".format(data_name, urls)) urllib.error.URLError: /<>/docs/visualization/wcsaxes/controlling_axes.rst:30: WARNING: Exception occurred in plotting controlling_axes-2 from /<>/docs/visualization/wcsaxes/controlling_axes.rst: Traceback (most recent call last): File "/usr/lib/python3/dist-packages/matplotlib/sphinxext/plot_directive.py", line 520, in run_code six.exec_(code, ns) File "", line 2, in NameError: name 'ax' is not defined /<>/docs/visualization/wcsaxes/controlling_axes.rst:49: WARNING: Exception occurred in plotting controlling_axes-3 from /<>/docs/visualization/wcsaxes/controlling_axes.rst: Traceback (most recent call last): File "/usr/lib/python3/dist-packages/matplotlib/sphinxext/plot_directive.py", line 520, in run_code six.exec_(code, ns) File "", line 1, in NameError: name 'ax' is not defined /<>/docs/visualization/wcsaxes/custom_frames.rst:10: WARNING: Exception occurred in plotting custom_frames-1 from /<>/docs/visualization/wcsaxes/custom_frames.rst: Traceback (most recent call last): File "/usr/lib/python3/dist-packages/matplotlib/sphinxext/plot_directive.py", line 520, in run_code six.exec_(code, ns) File "", line 7, in File "/<>/build/lib.linux-x86_64-3.6/astropy/utils/data.py", line 632, in get_pkg_data_filename "repositories:\n\n{1}".format(data_name, urls)) urllib.error.URLError: /<>/docs/visualization/wcsaxes/custom_frames.rst:37: WARNING: Exception occurred in plotting custom_frames-2 from /<>/docs/visualization/wcsaxes/custom_frames.rst: Traceback (most recent call last): File "/usr/lib/python3/dist-packages/matplotlib/sphinxext/plot_directive.py", line 520, in run_code six.exec_(code, ns) File "", line 8, in File "/<>/build/lib.linux-x86_64-3.6/astropy/utils/data.py", line 632, in get_pkg_data_filename "repositories:\n\n{1}".format(data_name, urls)) urllib.error.URLError: /<>/docs/visualization/wcsaxes/custom_frames.rst:100: WARNING: Exception occurred in plotting custom_frames-4 from /<>/docs/visualization/wcsaxes/custom_frames.rst: Traceback (most recent call last): File "/usr/lib/python3/dist-packages/matplotlib/sphinxext/plot_directive.py", line 520, in run_code six.exec_(code, ns) File "", line 6, in File "/<>/build/lib.linux-x86_64-3.6/astropy/utils/data.py", line 632, in get_pkg_data_filename "repositories:\n\n{1}".format(data_name, urls)) urllib.error.URLError: /<>/docs/visualization/wcsaxes/custom_frames.rst:129: WARNING: Exception occurred in plotting custom_frames-5 from /<>/docs/visualization/wcsaxes/custom_frames.rst: Traceback (most recent call last): File "/usr/lib/python3/dist-packages/matplotlib/sphinxext/plot_directive.py", line 520, in run_code six.exec_(code, ns) File "", line 1, in NameError: name 'ax' is not defined /<>/docs/visualization/wcsaxes/images_contours.rst:8: WARNING: Exception occurred in plotting images_contours-1 from /<>/docs/visualization/wcsaxes/images_contours.rst: Traceback (most recent call last): File "/usr/lib/python3/dist-packages/matplotlib/sphinxext/plot_directive.py", line 520, in run_code six.exec_(code, ns) File "", line 5, in File "/<>/build/lib.linux-x86_64-3.6/astropy/utils/data.py", line 632, in get_pkg_data_filename "repositories:\n\n{1}".format(data_name, urls)) urllib.error.URLError: /<>/docs/visualization/wcsaxes/images_contours.rst:31: WARNING: Exception occurred in plotting images_contours-2 from /<>/docs/visualization/wcsaxes/images_contours.rst: Traceback (most recent call last): File "/usr/lib/python3/dist-packages/matplotlib/sphinxext/plot_directive.py", line 520, in run_code six.exec_(code, ns) File "", line 1, in NameError: name 'ax' is not defined /<>/docs/visualization/wcsaxes/images_contours.rst:40: WARNING: Exception occurred in plotting images_contours-3 from /<>/docs/visualization/wcsaxes/images_contours.rst: Traceback (most recent call last): File "/usr/lib/python3/dist-packages/matplotlib/sphinxext/plot_directive.py", line 520, in run_code six.exec_(code, ns) File "", line 2, in NameError: name 'ax' is not defined /<>/docs/visualization/wcsaxes/index.rst:20: WARNING: Exception occurred in plotting index-1 from /<>/docs/visualization/wcsaxes/index.rst: Traceback (most recent call last): File "/usr/lib/python3/dist-packages/matplotlib/sphinxext/plot_directive.py", line 520, in run_code six.exec_(code, ns) File "", line 7, in File "/<>/build/lib.linux-x86_64-3.6/astropy/utils/data.py", line 632, in get_pkg_data_filename "repositories:\n\n{1}".format(data_name, urls)) urllib.error.URLError: /<>/docs/visualization/wcsaxes/index.rst:56: WARNING: Exception occurred in plotting index-2 from /<>/docs/visualization/wcsaxes/index.rst: Traceback (most recent call last): File "/usr/lib/python3/dist-packages/matplotlib/sphinxext/plot_directive.py", line 520, in run_code six.exec_(code, ns) File "", line 1, in NameError: name 'wcs' is not defined /<>/docs/visualization/wcsaxes/initializing_axes.rst:18: WARNING: Exception occurred in plotting initializing_axes-1 from /<>/docs/visualization/wcsaxes/initializing_axes.rst: Traceback (most recent call last): File "/usr/lib/python3/dist-packages/matplotlib/sphinxext/plot_directive.py", line 520, in run_code six.exec_(code, ns) File "", line 5, in File "/<>/build/lib.linux-x86_64-3.6/astropy/utils/data.py", line 632, in get_pkg_data_filename "repositories:\n\n{1}".format(data_name, urls)) urllib.error.URLError: /<>/docs/visualization/wcsaxes/initializing_axes.rst:38: WARNING: Exception occurred in plotting initializing_axes-2 from /<>/docs/visualization/wcsaxes/initializing_axes.rst: Traceback (most recent call last): File "/usr/lib/python3/dist-packages/matplotlib/sphinxext/plot_directive.py", line 520, in run_code six.exec_(code, ns) File "", line 2, in NameError: name 'wcs' is not defined /<>/docs/visualization/wcsaxes/initializing_axes.rst:57: WARNING: Exception occurred in plotting initializing_axes-3 from /<>/docs/visualization/wcsaxes/initializing_axes.rst: Traceback (most recent call last): File "/usr/lib/python3/dist-packages/matplotlib/sphinxext/plot_directive.py", line 520, in run_code six.exec_(code, ns) File "", line 1, in NameError: name 'ax' is not defined /<>/docs/visualization/wcsaxes/overlaying_coordinate_systems.rst:8: WARNING: Exception occurred in plotting overlaying_coordinate_systems-1 from /<>/docs/visualization/wcsaxes/overlaying_coordinate_systems.rst: Traceback (most recent call last): File "/usr/lib/python3/dist-packages/matplotlib/sphinxext/plot_directive.py", line 520, in run_code six.exec_(code, ns) File "", line 5, in File "/<>/build/lib.linux-x86_64-3.6/astropy/utils/data.py", line 632, in get_pkg_data_filename "repositories:\n\n{1}".format(data_name, urls)) urllib.error.URLError: /<>/docs/visualization/wcsaxes/overlaying_coordinate_systems.rst:31: WARNING: Exception occurred in plotting overlaying_coordinate_systems-2 from /<>/docs/visualization/wcsaxes/overlaying_coordinate_systems.rst: Traceback (most recent call last): File "/usr/lib/python3/dist-packages/matplotlib/sphinxext/plot_directive.py", line 520, in run_code six.exec_(code, ns) File "", line 1, in NameError: name 'ax' is not defined /<>/docs/visualization/wcsaxes/overlaying_coordinate_systems.rst:42: WARNING: Exception occurred in plotting overlaying_coordinate_systems-3 from /<>/docs/visualization/wcsaxes/overlaying_coordinate_systems.rst: Traceback (most recent call last): File "/usr/lib/python3/dist-packages/matplotlib/sphinxext/plot_directive.py", line 520, in run_code six.exec_(code, ns) File "", line 1, in NameError: name 'ax' is not defined /<>/docs/visualization/wcsaxes/overlays.rst:8: WARNING: Exception occurred in plotting overlays-1 from /<>/docs/visualization/wcsaxes/overlays.rst: Traceback (most recent call last): File "/usr/lib/python3/dist-packages/matplotlib/sphinxext/plot_directive.py", line 520, in run_code six.exec_(code, ns) File "", line 6, in File "/<>/build/lib.linux-x86_64-3.6/astropy/utils/data.py", line 632, in get_pkg_data_filename "repositories:\n\n{1}".format(data_name, urls)) urllib.error.URLError: /<>/docs/visualization/wcsaxes/overlays.rst:41: WARNING: Exception occurred in plotting overlays-2 from /<>/docs/visualization/wcsaxes/overlays.rst: Traceback (most recent call last): File "/usr/lib/python3/dist-packages/matplotlib/sphinxext/plot_directive.py", line 520, in run_code six.exec_(code, ns) File "", line 3, in NameError: name 'ax' is not defined /<>/docs/visualization/wcsaxes/overlays.rst:107: WARNING: Exception occurred in plotting overlays-3 from /<>/docs/visualization/wcsaxes/overlays.rst: Traceback (most recent call last): File "/usr/lib/python3/dist-packages/matplotlib/sphinxext/plot_directive.py", line 520, in run_code six.exec_(code, ns) File "", line 7, in File "/<>/build/lib.linux-x86_64-3.6/astropy/utils/data.py", line 632, in get_pkg_data_filename "repositories:\n\n{1}".format(data_name, urls)) urllib.error.URLError: /<>/docs/visualization/wcsaxes/overlays.rst:127: WARNING: Exception occurred in plotting overlays-4 from /<>/docs/visualization/wcsaxes/overlays.rst: Traceback (most recent call last): File "/usr/lib/python3/dist-packages/matplotlib/sphinxext/plot_directive.py", line 520, in run_code six.exec_(code, ns) File "", line 1, in NameError: name 'ax' is not defined /<>/docs/visualization/wcsaxes/overlays.rst:144: WARNING: Exception occurred in plotting overlays-5 from /<>/docs/visualization/wcsaxes/overlays.rst: Traceback (most recent call last): File "/usr/lib/python3/dist-packages/matplotlib/sphinxext/plot_directive.py", line 520, in run_code six.exec_(code, ns) File "", line 7, in File "/<>/build/lib.linux-x86_64-3.6/astropy/utils/data.py", line 632, in get_pkg_data_filename "repositories:\n\n{1}".format(data_name, urls)) urllib.error.URLError: /<>/docs/visualization/wcsaxes/overlays.rst:163: WARNING: Exception occurred in plotting overlays-6 from /<>/docs/visualization/wcsaxes/overlays.rst: Traceback (most recent call last): File "/usr/lib/python3/dist-packages/matplotlib/sphinxext/plot_directive.py", line 520, in run_code six.exec_(code, ns) File "", line 2, in NameError: name 'ax' is not defined /<>/docs/visualization/wcsaxes/overlays.rst:174: WARNING: Exception occurred in plotting overlays-7 from /<>/docs/visualization/wcsaxes/overlays.rst: Traceback (most recent call last): File "/usr/lib/python3/dist-packages/matplotlib/sphinxext/plot_directive.py", line 520, in run_code six.exec_(code, ns) File "", line 4, in NameError: name 'ax' is not defined /<>/docs/visualization/wcsaxes/overlays.rst:209: WARNING: Exception occurred in plotting overlays-8 from /<>/docs/visualization/wcsaxes/overlays.rst: Traceback (most recent call last): File "/usr/lib/python3/dist-packages/matplotlib/sphinxext/plot_directive.py", line 520, in run_code six.exec_(code, ns) File "", line 7, in File "/<>/build/lib.linux-x86_64-3.6/astropy/utils/data.py", line 632, in get_pkg_data_filename "repositories:\n\n{1}".format(data_name, urls)) urllib.error.URLError: /<>/docs/visualization/wcsaxes/overlays.rst:228: WARNING: Exception occurred in plotting overlays-9 from /<>/docs/visualization/wcsaxes/overlays.rst: Traceback (most recent call last): File "/usr/lib/python3/dist-packages/matplotlib/sphinxext/plot_directive.py", line 520, in run_code six.exec_(code, ns) File "", line 1, in File "/<>/build/lib.linux-x86_64-3.6/astropy/utils/data.py", line 632, in get_pkg_data_filename "repositories:\n\n{1}".format(data_name, urls)) urllib.error.URLError: /<>/docs/visualization/wcsaxes/overlays.rst:243: WARNING: Exception occurred in plotting overlays-10 from /<>/docs/visualization/wcsaxes/overlays.rst: Traceback (most recent call last): File "/usr/lib/python3/dist-packages/matplotlib/sphinxext/plot_directive.py", line 520, in run_code six.exec_(code, ns) File "", line 7, in File "/<>/build/lib.linux-x86_64-3.6/astropy/utils/data.py", line 632, in get_pkg_data_filename "repositories:\n\n{1}".format(data_name, urls)) urllib.error.URLError: /<>/docs/visualization/wcsaxes/overlays.rst:262: WARNING: Exception occurred in plotting overlays-11 from /<>/docs/visualization/wcsaxes/overlays.rst: Traceback (most recent call last): File "/usr/lib/python3/dist-packages/matplotlib/sphinxext/plot_directive.py", line 520, in run_code six.exec_(code, ns) File "", line 6, in NameError: name 'ax' is not defined /<>/docs/visualization/wcsaxes/slicing_datacubes.rst:19: WARNING: Exception occurred in plotting slicing_datacubes-1 from /<>/docs/visualization/wcsaxes/slicing_datacubes.rst: Traceback (most recent call last): File "/usr/lib/python3/dist-packages/matplotlib/sphinxext/plot_directive.py", line 520, in run_code six.exec_(code, ns) File "", line 4, in File "/<>/build/lib.linux-x86_64-3.6/astropy/utils/data.py", line 632, in get_pkg_data_filename "repositories:\n\n{1}".format(data_name, urls)) urllib.error.URLError: /<>/docs/visualization/wcsaxes/slicing_datacubes.rst:49: WARNING: Exception occurred in plotting slicing_datacubes-2 from /<>/docs/visualization/wcsaxes/slicing_datacubes.rst: Traceback (most recent call last): File "/usr/lib/python3/dist-packages/matplotlib/sphinxext/plot_directive.py", line 520, in run_code six.exec_(code, ns) File "", line 2, in NameError: name 'wcs' is not defined /<>/docs/visualization/wcsaxes/slicing_datacubes.rst:72: WARNING: Exception occurred in plotting slicing_datacubes-3 from /<>/docs/visualization/wcsaxes/slicing_datacubes.rst: Traceback (most recent call last): File "/usr/lib/python3/dist-packages/matplotlib/sphinxext/plot_directive.py", line 520, in run_code six.exec_(code, ns) File "", line 1, in NameError: name 'ax' is not defined /<>/docs/visualization/wcsaxes/slicing_datacubes.rst:90: WARNING: Exception occurred in plotting slicing_datacubes-4 from /<>/docs/visualization/wcsaxes/slicing_datacubes.rst: Traceback (most recent call last): File "/usr/lib/python3/dist-packages/matplotlib/sphinxext/plot_directive.py", line 520, in run_code six.exec_(code, ns) File "", line 4, in File "/<>/build/lib.linux-x86_64-3.6/astropy/utils/data.py", line 632, in get_pkg_data_filename "repositories:\n\n{1}".format(data_name, urls)) urllib.error.URLError: /<>/docs/visualization/wcsaxes/slicing_datacubes.rst:103: WARNING: Exception occurred in plotting slicing_datacubes-5 from /<>/docs/visualization/wcsaxes/slicing_datacubes.rst: Traceback (most recent call last): File "/usr/lib/python3/dist-packages/matplotlib/sphinxext/plot_directive.py", line 520, in run_code six.exec_(code, ns) File "", line 1, in NameError: name 'wcs' is not defined /<>/docs/visualization/wcsaxes/ticks_labels_grid.rst:8: WARNING: Exception occurred in plotting ticks_labels_grid-1 from /<>/docs/visualization/wcsaxes/ticks_labels_grid.rst: Traceback (most recent call last): File "/usr/lib/python3/dist-packages/matplotlib/sphinxext/plot_directive.py", line 520, in run_code six.exec_(code, ns) File "", line 5, in File "/<>/build/lib.linux-x86_64-3.6/astropy/utils/data.py", line 632, in get_pkg_data_filename "repositories:\n\n{1}".format(data_name, urls)) urllib.error.URLError: /<>/docs/visualization/wcsaxes/ticks_labels_grid.rst:58: WARNING: Exception occurred in plotting ticks_labels_grid-2 from /<>/docs/visualization/wcsaxes/ticks_labels_grid.rst: Traceback (most recent call last): File "/usr/lib/python3/dist-packages/matplotlib/sphinxext/plot_directive.py", line 520, in run_code six.exec_(code, ns) File "", line 1, in NameError: name 'ax' is not defined /<>/docs/visualization/wcsaxes/ticks_labels_grid.rst:83: WARNING: Exception occurred in plotting ticks_labels_grid-3 from /<>/docs/visualization/wcsaxes/ticks_labels_grid.rst: Traceback (most recent call last): File "/usr/lib/python3/dist-packages/matplotlib/sphinxext/plot_directive.py", line 520, in run_code six.exec_(code, ns) File "", line 1, in NameError: name 'lon' is not defined /<>/docs/visualization/wcsaxes/ticks_labels_grid.rst:96: WARNING: Exception occurred in plotting ticks_labels_grid-4 from /<>/docs/visualization/wcsaxes/ticks_labels_grid.rst: Traceback (most recent call last): File "/usr/lib/python3/dist-packages/matplotlib/sphinxext/plot_directive.py", line 520, in run_code six.exec_(code, ns) File "", line 1, in NameError: name 'lon' is not defined /<>/docs/visualization/wcsaxes/ticks_labels_grid.rst:105: WARNING: Exception occurred in plotting ticks_labels_grid-5 from /<>/docs/visualization/wcsaxes/ticks_labels_grid.rst: Traceback (most recent call last): File "/usr/lib/python3/dist-packages/matplotlib/sphinxext/plot_directive.py", line 520, in run_code six.exec_(code, ns) File "", line 1, in NameError: name 'lon' is not defined /<>/docs/visualization/wcsaxes/ticks_labels_grid.rst:125: WARNING: Exception occurred in plotting ticks_labels_grid-6 from /<>/docs/visualization/wcsaxes/ticks_labels_grid.rst: Traceback (most recent call last): File "/usr/lib/python3/dist-packages/matplotlib/sphinxext/plot_directive.py", line 520, in run_code six.exec_(code, ns) File "", line 1, in NameError: name 'lon' is not defined /<>/docs/visualization/wcsaxes/ticks_labels_grid.rst:173: WARNING: Exception occurred in plotting ticks_labels_grid-7 from /<>/docs/visualization/wcsaxes/ticks_labels_grid.rst: Traceback (most recent call last): File "/usr/lib/python3/dist-packages/matplotlib/sphinxext/plot_directive.py", line 520, in run_code six.exec_(code, ns) File "", line 1, in NameError: name 'lon' is not defined /<>/docs/visualization/wcsaxes/ticks_labels_grid.rst:213: WARNING: Exception occurred in plotting ticks_labels_grid-8 from /<>/docs/visualization/wcsaxes/ticks_labels_grid.rst: Traceback (most recent call last): File "/usr/lib/python3/dist-packages/matplotlib/sphinxext/plot_directive.py", line 520, in run_code six.exec_(code, ns) File "", line 2, in NameError: name 'lon' is not defined /<>/docs/visualization/wcsaxes/ticks_labels_grid.rst:231: WARNING: Exception occurred in plotting ticks_labels_grid-9 from /<>/docs/visualization/wcsaxes/ticks_labels_grid.rst: Traceback (most recent call last): File "/usr/lib/python3/dist-packages/matplotlib/sphinxext/plot_directive.py", line 520, in run_code six.exec_(code, ns) File "", line 1, in NameError: name 'lon' is not defined /<>/docs/visualization/wcsaxes/ticks_labels_grid.rst:253: WARNING: Exception occurred in plotting ticks_labels_grid-10 from /<>/docs/visualization/wcsaxes/ticks_labels_grid.rst: Traceback (most recent call last): File "/usr/lib/python3/dist-packages/matplotlib/sphinxext/plot_directive.py", line 520, in run_code six.exec_(code, ns) File "", line 1, in NameError: name 'lon' is not defined /<>/docs/visualization/wcsaxes/ticks_labels_grid.rst:267: WARNING: Exception occurred in plotting ticks_labels_grid-11 from /<>/docs/visualization/wcsaxes/ticks_labels_grid.rst: Traceback (most recent call last): File "/usr/lib/python3/dist-packages/matplotlib/sphinxext/plot_directive.py", line 520, in run_code six.exec_(code, ns) File "", line 1, in NameError: name 'lon' is not defined /<>/docs/visualization/wcsaxes/ticks_labels_grid.rst:295: WARNING: Exception occurred in plotting ticks_labels_grid-12 from /<>/docs/visualization/wcsaxes/ticks_labels_grid.rst: Traceback (most recent call last): File "/usr/lib/python3/dist-packages/matplotlib/sphinxext/plot_directive.py", line 520, in run_code six.exec_(code, ns) File "", line 1, in NameError: name 'lon' is not defined /<>/docs/visualization/wcsaxes/ticks_labels_grid.rst:309: WARNING: Exception occurred in plotting ticks_labels_grid-13 from /<>/docs/visualization/wcsaxes/ticks_labels_grid.rst: Traceback (most recent call last): File "/usr/lib/python3/dist-packages/matplotlib/sphinxext/plot_directive.py", line 520, in run_code six.exec_(code, ns) File "", line 1, in NameError: name 'lon' is not defined /<>/docs/visualization/wcsaxes/ticks_labels_grid.rst:330: WARNING: Exception occurred in plotting ticks_labels_grid-14 from /<>/docs/visualization/wcsaxes/ticks_labels_grid.rst: Traceback (most recent call last): File "/usr/lib/python3/dist-packages/matplotlib/sphinxext/plot_directive.py", line 520, in run_code six.exec_(code, ns) File "", line 1, in NameError: name 'lon' is not defined /<>/docs/visualization/wcsaxes/ticks_labels_grid.rst:341: WARNING: Exception occurred in plotting ticks_labels_grid-15 from /<>/docs/visualization/wcsaxes/ticks_labels_grid.rst: Traceback (most recent call last): File "/usr/lib/python3/dist-packages/matplotlib/sphinxext/plot_directive.py", line 520, in run_code six.exec_(code, ns) File "", line 1, in NameError: name 'ax' is not defined /<>/docs/wcs/index.rst:236: WARNING: Exception occurred in plotting index-1 from /<>/docs/wcs/index.rst: Traceback (most recent call last): File "/usr/lib/python3/dist-packages/matplotlib/sphinxext/plot_directive.py", line 520, in run_code six.exec_(code, ns) File "", line 6, in File "/<>/build/lib.linux-x86_64-3.6/astropy/utils/data.py", line 632, in get_pkg_data_filename "repositories:\n\n{1}".format(data_name, urls)) urllib.error.URLError: /<>/docs/whatsnew/1.3.rst:65: WARNING: Exception occurred in plotting 1-3-1 from /<>/docs/whatsnew/1.3.rst: Traceback (most recent call last): File "/usr/lib/python3/dist-packages/matplotlib/sphinxext/plot_directive.py", line 520, in run_code six.exec_(code, ns) File "", line 7, in File "/<>/build/lib.linux-x86_64-3.6/astropy/utils/data.py", line 632, in get_pkg_data_filename "repositories:\n\n{1}".format(data_name, urls)) urllib.error.URLError: looking for now-outdated files... none found pickling environment... done checking consistency... done preparing documents... done writing output... 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[100%] whatsnew/index [changelog_links] Adding changelog links to "whatsnew/index" WARNING: LaTeX command 'latex' cannot be run (needed for math display), check the imgmath_latex setting /<>/docs/api/astropy.analytic_functions.blackbody.blackbody_nu.rst:17: WARNING: py:obj reference target not found: numpy.errstate /<>/docs/api/astropy.config.ConfigItem.rst:7: WARNING: py:class reference target not found: object ["ConfigItem(defaultvalue='', description=None, cfgtype=None, module=None, aliases=None)", ':module: astropy.config', '', 'Bases: :class:`object`', '', '', '', 'A setting and associated value stored in a configuration file.', '', 'These objects should be created as members of', '`ConfigNamespace` subclasses, for example::', '', ' class _Conf(config.ConfigNamespace):', ' unicode_output = config.ConfigItem(', ' False,', " 'Use Unicode characters when outputting values, and writing widgets '", " 'to the console.')", ' conf = _Conf()', '', ':Parameters:', '', ' **defaultvalue** : object, optional', '', ' The default value for this item. If this is a list of strings, this', " item will be interpreted as an 'options' value - this item must be one", ' of those values, and the first in the list will be taken as the default', ' value.', ' ', '', ' **description** : str or None, optional', '', ' A description of this item (will be shown as a comment in the', ' configuration file)', ' ', '', ' **cfgtype** : str or None, optional', '', ' A type specifier like those used as the *values* of a particular key', ' in a ``configspec`` file of ``configobj``. If None, the type will be', ' inferred from the default value.', ' ', '', ' **module** : str or None, optional', '', ' The full module name that this item is associated with. The first', " element (e.g. 'astropy' if this is 'astropy.config.configuration')", ' will be used to determine the name of the configuration file, while', ' the remaining items determine the section. If None, the package will be', " inferred from the package within whiich this object's initializer is", ' called.', ' ', '', ' **aliases** : str, or list of str, optional', '', ' The deprecated location(s) of this configuration item. If the', ' config item is not found at the new location, it will be', ' searched for at all of the old locations.', '', ':Raises:', '', ' **RuntimeError**', '', ' If ``module`` is `None`, but the module this item is created from', ' cannot be determined.', '', '.. rubric:: Attributes Summary', '', '.. autosummary::', '', ' ~ConfigItem.cfgtype', '', '.. rubric:: Methods Summary', '', '.. autosummary::', '', ' ~ConfigItem.__call__', ' ~ConfigItem.reload', ' ~ConfigItem.set', ' ~ConfigItem.set_temp', '', '.. rubric:: Attributes Documentation', '', '.. autoattribute:: cfgtype', '', '.. rubric:: Methods Documentation', '', '.. automethod:: __call__', '.. automethod:: reload', '.. automethod:: set', '.. automethod:: set_temp']:56: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.config.ConfigNamespace.rst:7: WARNING: py:class reference target not found: object /<>/docs/api/astropy.config.get_config.rst:16: WARNING: py:obj reference target not found: None ['get_config(packageormod=None, reload=False)', ':module: astropy.config', '', '', '', 'Gets the configuration object or section associated with a particular', 'package or module.', '', '', ':Parameters:', '', ' **packageormod** : str or None', '', ' The package for which to retrieve the configuration object. If a', ' string, it must be a valid package name, or if `None`, the package from', ' which this function is called will be used.', ' ', '', ' **reload** : bool, optional', '', ' Reload the file, even if we have it cached.', '', ':Returns:', '', ' **cfgobj** : ``configobj.ConfigObj`` or ``configobj.Section``', '', ' If the requested package is a base package, this will be the', ' ``configobj.ConfigObj`` for that package, or if it is a subpackage or', ' module, it will return the relevant ``configobj.Section`` object.', '', ':Raises:', '', ' **RuntimeError**', '', ' If ``packageormod`` is `None`, but the package this item is created', ' from cannot be determined.']:30: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.constants.Constant.rst:1: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.constants.Constant.rst:9: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.constants.EMConstant.rst:1: WARNING: py:obj reference target not found: TypeError /<>/docs/api/astropy.constants.EMConstant.rst:9: WARNING: py:obj reference target not found: TypeError /<>/docs/api/astropy.convolution.Kernel.rst:7: WARNING: py:class reference target not found: object /<>/docs/api/astropy.convolution.Kernel.rst:13: WARNING: py:obj reference target not found: numpy.ndarray ['Kernel1D(model=None, x_size=None, array=None, **kwargs)', ':module: astropy.convolution', '', 'Bases: :class:`astropy.convolution.core.Kernel`', '', '', '', 'Base class for 1D filter kernels.', '', '', ':Parameters:', '', ' **model** : `~astropy.modeling.FittableModel`', '', ' Model to be evaluated.', '', ' **x_size** : odd int, optional', '', ' Size of the kernel array. Default = 8 * width.', '', ' **array** : `~numpy.ndarray`', '', ' Kernel array.', '', ' **width** : number', '', ' Width of the filter kernel.', '', ' **mode** : str, optional', '', ' One of the following discretization modes:', " * 'center' (default)", ' Discretize model by taking the value', ' at the center of the bin.', " * 'linear_interp'", ' Discretize model by linearly interpolating', ' between the values at the corners of the bin.', " * 'oversample'", ' Discretize model by taking the average', ' on an oversampled grid.', " * 'integrate'", ' Discretize model by integrating the', ' model over the bin.', '', ' **factor** : number, optional', '', ' Factor of oversampling. Default factor = 10.']:17: WARNING: py:obj reference target not found: numpy.ndarray ['Kernel2D(model=None, x_size=None, y_size=None, array=None, **kwargs)', ':module: astropy.convolution', '', 'Bases: :class:`astropy.convolution.core.Kernel`', '', '', '', 'Base class for 2D filter kernels.', '', '', ':Parameters:', '', ' **model** : `~astropy.modeling.FittableModel`', '', ' Model to be evaluated.', '', ' **x_size** : odd int, optional', '', ' Size in x direction of the kernel array. Default = 8 * width.', '', ' **y_size** : odd int, optional', '', ' Size in y direction of the kernel array. Default = 8 * width.', '', ' **array** : `~numpy.ndarray`', '', ' Kernel array.', '', ' **mode** : str, optional', '', ' One of the following discretization modes:', " * 'center' (default)", ' Discretize model by taking the value', ' at the center of the bin.', " * 'linear_interp'", ' Discretize model by performing a bilinear interpolation', ' between the values at the corners of the bin.', " * 'oversample'", ' Discretize model by taking the average', ' on an oversampled grid.', " * 'integrate'", ' Discretize model by integrating the', ' model over the bin.', '', ' **width** : number', '', ' Width of the filter kernel.', '', ' **factor** : number, optional', '', ' Factor of oversampling. Default factor = 10.']:21: WARNING: py:obj reference target not found: numpy.ndarray /<>/docs/api/astropy.convolution.MexicanHat1DKernel.rst:16: WARNING: py:obj reference target not found: scipy.ndimage.gaussian_laplace /<>/docs/api/astropy.convolution.MexicanHat2DKernel.rst:16: WARNING: py:obj reference target not found: scipy.ndimage.gaussian_laplace /<>/docs/api/astropy.convolution.convolve.rst:11: WARNING: py:obj reference target not found: scipy.ndimage.convolve ["convolve(array, kernel, boundary='fill', fill_value=0.0, nan_treatment='interpolate', normalize_kernel=True, mask=None, preserve_nan=False, normalization_zero_tol=1e-08)", ':module: astropy.convolution', '', '', '', 'Convolve an array with a kernel.', '', 'This routine differs from `scipy.ndimage.convolve` because', 'it includes a special treatment for ``NaN`` values. Rather than', 'including ``NaN`` values in the array in the convolution calculation, which', 'causes large ``NaN`` holes in the convolved array, ``NaN`` values are', 'replaced with interpolated values using the kernel as an interpolation', 'function.', '', ':Parameters:', '', ' **array** : `numpy.ndarray` or `~astropy.nddata.NDData`', '', ' The array to convolve. This should be a 1, 2, or 3-dimensional array', ' or a list or a set of nested lists representing a 1, 2, or', ' 3-dimensional array. If an `~astropy.nddata.NDData`, the ``mask`` of', ' the `~astropy.nddata.NDData` will be used as the ``mask`` argument.', '', ' **kernel** : `numpy.ndarray` or `~astropy.convolution.Kernel`', '', ' The convolution kernel. The number of dimensions should match those for', ' the array, and the dimensions should be odd in all directions. If a', ' masked array, the masked values will be replaced by ``fill_value``.', '', ' **boundary** : str, optional', '', ' A flag indicating how to handle boundaries:', ' * `None`', ' Set the ``result`` values to zero where the kernel', ' extends beyond the edge of the array (default).', " * 'fill'", ' Set values outside the array boundary to ``fill_value``.', " * 'wrap'", ' Periodic boundary that wrap to the other side of ``array``.', " * 'extend'", ' Set values outside the array to the nearest ``array``', ' value.', '', ' **fill_value** : float, optional', '', " The value to use outside the array when using ``boundary='fill'``", '', ' **normalize_kernel** : bool, optional', '', ' Whether to normalize the kernel to have a sum of one prior to', ' convolving', '', " **nan_treatment** : 'interpolate', 'fill'", '', ' interpolate will result in renormalization of the kernel at each', ' position ignoring (pixels that are NaN in the image) in both the image', ' and the kernel.', " 'fill' will replace the NaN pixels with a fixed numerical value (default", ' zero, see ``fill_value``) prior to convolution', ' Note that if the kernel has a sum equal to zero, NaN interpolation', ' is not possible and will raise an exception', '', ' **preserve_nan** : bool', '', ' After performing convolution, should pixels that were originally NaN', ' again become NaN?', '', ' **mask** : `None` or `numpy.ndarray`', '', ' A "mask" array. Shape must match ``array``, and anything that is masked', ' (i.e., not 0/`False`) will be set to NaN for the convolution. If', ' `None`, no masking will be performed unless ``array`` is a masked array.', ' If ``mask`` is not `None` *and* ``array`` is a masked array, a pixel is', ' masked of it is masked in either ``mask`` *or* ``array.mask``.', '', ' **normalization_zero_tol: float, optional**', '', ' The absolute tolerance on whether the kernel is different than zero.', ' If the kernel sums to zero to within this precision, it cannot be', ' normalized. Default is "1e-8".', '', ':Returns:', '', ' **result** : `numpy.ndarray`', '', ' An array with the same dimensions and as the input array,', ' convolved with kernel. The data type depends on the input', ' array type. If array is a floating point type, then the', ' return array keeps the same data type, otherwise the type', ' is ``numpy.float``.', '', '.. rubric:: Notes', '', '', 'For masked arrays, masked values are treated as NaNs. The convolution', 'is always done at ``numpy.float`` precision.']:14: WARNING: py:obj reference target not found: numpy.ndarray ["convolve(array, kernel, boundary='fill', fill_value=0.0, nan_treatment='interpolate', normalize_kernel=True, mask=None, preserve_nan=False, normalization_zero_tol=1e-08)", ':module: astropy.convolution', '', '', '', 'Convolve an array with a kernel.', '', 'This routine differs from `scipy.ndimage.convolve` because', 'it includes a special treatment for ``NaN`` values. Rather than', 'including ``NaN`` values in the array in the convolution calculation, which', 'causes large ``NaN`` holes in the convolved array, ``NaN`` values are', 'replaced with interpolated values using the kernel as an interpolation', 'function.', '', ':Parameters:', '', ' **array** : `numpy.ndarray` or `~astropy.nddata.NDData`', '', ' The array to convolve. This should be a 1, 2, or 3-dimensional array', ' or a list or a set of nested lists representing a 1, 2, or', ' 3-dimensional array. If an `~astropy.nddata.NDData`, the ``mask`` of', ' the `~astropy.nddata.NDData` will be used as the ``mask`` argument.', '', ' **kernel** : `numpy.ndarray` or `~astropy.convolution.Kernel`', '', ' The convolution kernel. The number of dimensions should match those for', ' the array, and the dimensions should be odd in all directions. If a', ' masked array, the masked values will be replaced by ``fill_value``.', '', ' **boundary** : str, optional', '', ' A flag indicating how to handle boundaries:', ' * `None`', ' Set the ``result`` values to zero where the kernel', ' extends beyond the edge of the array (default).', " * 'fill'", ' Set values outside the array boundary to ``fill_value``.', " * 'wrap'", ' Periodic boundary that wrap to the other side of ``array``.', " * 'extend'", ' Set values outside the array to the nearest ``array``', ' value.', '', ' **fill_value** : float, optional', '', " The value to use outside the array when using ``boundary='fill'``", '', ' **normalize_kernel** : bool, optional', '', ' Whether to normalize the kernel to have a sum of one prior to', ' convolving', '', " **nan_treatment** : 'interpolate', 'fill'", '', ' interpolate will result in renormalization of the kernel at each', ' position ignoring (pixels that are NaN in the image) in both the image', ' and the kernel.', " 'fill' will replace the NaN pixels with a fixed numerical value (default", ' zero, see ``fill_value``) prior to convolution', ' Note that if the kernel has a sum equal to zero, NaN interpolation', ' is not possible and will raise an exception', '', ' **preserve_nan** : bool', '', ' After performing convolution, should pixels that were originally NaN', ' again become NaN?', '', ' **mask** : `None` or `numpy.ndarray`', '', ' A "mask" array. Shape must match ``array``, and anything that is masked', ' (i.e., not 0/`False`) will be set to NaN for the convolution. If', ' `None`, no masking will be performed unless ``array`` is a masked array.', ' If ``mask`` is not `None` *and* ``array`` is a masked array, a pixel is', ' masked of it is masked in either ``mask`` *or* ``array.mask``.', '', ' **normalization_zero_tol: float, optional**', '', ' The absolute tolerance on whether the kernel is different than zero.', ' If the kernel sums to zero to within this precision, it cannot be', ' normalized. Default is "1e-8".', '', ':Returns:', '', ' **result** : `numpy.ndarray`', '', ' An array with the same dimensions and as the input array,', ' convolved with kernel. The data type depends on the input', ' array type. If array is a floating point type, then the', ' return array keeps the same data type, otherwise the type', ' is ``numpy.float``.', '', '.. rubric:: Notes', '', '', 'For masked arrays, masked values are treated as NaNs. The convolution', 'is always done at ``numpy.float`` precision.']:21: WARNING: py:obj reference target not found: numpy.ndarray ["convolve(array, kernel, boundary='fill', fill_value=0.0, nan_treatment='interpolate', normalize_kernel=True, mask=None, preserve_nan=False, normalization_zero_tol=1e-08)", ':module: astropy.convolution', '', '', '', 'Convolve an array with a kernel.', '', 'This routine differs from `scipy.ndimage.convolve` because', 'it includes a special treatment for ``NaN`` values. Rather than', 'including ``NaN`` values in the array in the convolution calculation, which', 'causes large ``NaN`` holes in the convolved array, ``NaN`` values are', 'replaced with interpolated values using the kernel as an interpolation', 'function.', '', ':Parameters:', '', ' **array** : `numpy.ndarray` or `~astropy.nddata.NDData`', '', ' The array to convolve. This should be a 1, 2, or 3-dimensional array', ' or a list or a set of nested lists representing a 1, 2, or', ' 3-dimensional array. If an `~astropy.nddata.NDData`, the ``mask`` of', ' the `~astropy.nddata.NDData` will be used as the ``mask`` argument.', '', ' **kernel** : `numpy.ndarray` or `~astropy.convolution.Kernel`', '', ' The convolution kernel. The number of dimensions should match those for', ' the array, and the dimensions should be odd in all directions. If a', ' masked array, the masked values will be replaced by ``fill_value``.', '', ' **boundary** : str, optional', '', ' A flag indicating how to handle boundaries:', ' * `None`', ' Set the ``result`` values to zero where the kernel', ' extends beyond the edge of the array (default).', " * 'fill'", ' Set values outside the array boundary to ``fill_value``.', " * 'wrap'", ' Periodic boundary that wrap to the other side of ``array``.', " * 'extend'", ' Set values outside the array to the nearest ``array``', ' value.', '', ' **fill_value** : float, optional', '', " The value to use outside the array when using ``boundary='fill'``", '', ' **normalize_kernel** : bool, optional', '', ' Whether to normalize the kernel to have a sum of one prior to', ' convolving', '', " **nan_treatment** : 'interpolate', 'fill'", '', ' interpolate will result in renormalization of the kernel at each', ' position ignoring (pixels that are NaN in the image) in both the image', ' and the kernel.', " 'fill' will replace the NaN pixels with a fixed numerical value (default", ' zero, see ``fill_value``) prior to convolution', ' Note that if the kernel has a sum equal to zero, NaN interpolation', ' is not possible and will raise an exception', '', ' **preserve_nan** : bool', '', ' After performing convolution, should pixels that were originally NaN', ' again become NaN?', '', ' **mask** : `None` or `numpy.ndarray`', '', ' A "mask" array. Shape must match ``array``, and anything that is masked', ' (i.e., not 0/`False`) will be set to NaN for the convolution. If', ' `None`, no masking will be performed unless ``array`` is a masked array.', ' If ``mask`` is not `None` *and* ``array`` is a masked array, a pixel is', ' masked of it is masked in either ``mask`` *or* ``array.mask``.', '', ' **normalization_zero_tol: float, optional**', '', ' The absolute tolerance on whether the kernel is different than zero.', ' If the kernel sums to zero to within this precision, it cannot be', ' normalized. Default is "1e-8".', '', ':Returns:', '', ' **result** : `numpy.ndarray`', '', ' An array with the same dimensions and as the input array,', ' convolved with kernel. The data type depends on the input', ' array type. If array is a floating point type, then the', ' return array keeps the same data type, otherwise the type', ' is ``numpy.float``.', '', '.. rubric:: Notes', '', '', 'For masked arrays, masked values are treated as NaNs. The convolution', 'is always done at ``numpy.float`` precision.']:31: WARNING: py:obj reference target not found: None ["convolve(array, kernel, boundary='fill', fill_value=0.0, nan_treatment='interpolate', normalize_kernel=True, mask=None, preserve_nan=False, normalization_zero_tol=1e-08)", ':module: astropy.convolution', '', '', '', 'Convolve an array with a kernel.', '', 'This routine differs from `scipy.ndimage.convolve` because', 'it includes a special treatment for ``NaN`` values. Rather than', 'including ``NaN`` values in the array in the convolution calculation, which', 'causes large ``NaN`` holes in the convolved array, ``NaN`` values are', 'replaced with interpolated values using the kernel as an interpolation', 'function.', '', ':Parameters:', '', ' **array** : `numpy.ndarray` or `~astropy.nddata.NDData`', '', ' The array to convolve. This should be a 1, 2, or 3-dimensional array', ' or a list or a set of nested lists representing a 1, 2, or', ' 3-dimensional array. If an `~astropy.nddata.NDData`, the ``mask`` of', ' the `~astropy.nddata.NDData` will be used as the ``mask`` argument.', '', ' **kernel** : `numpy.ndarray` or `~astropy.convolution.Kernel`', '', ' The convolution kernel. The number of dimensions should match those for', ' the array, and the dimensions should be odd in all directions. If a', ' masked array, the masked values will be replaced by ``fill_value``.', '', ' **boundary** : str, optional', '', ' A flag indicating how to handle boundaries:', ' * `None`', ' Set the ``result`` values to zero where the kernel', ' extends beyond the edge of the array (default).', " * 'fill'", ' Set values outside the array boundary to ``fill_value``.', " * 'wrap'", ' Periodic boundary that wrap to the other side of ``array``.', " * 'extend'", ' Set values outside the array to the nearest ``array``', ' value.', '', ' **fill_value** : float, optional', '', " The value to use outside the array when using ``boundary='fill'``", '', ' **normalize_kernel** : bool, optional', '', ' Whether to normalize the kernel to have a sum of one prior to', ' convolving', '', " **nan_treatment** : 'interpolate', 'fill'", '', ' interpolate will result in renormalization of the kernel at each', ' position ignoring (pixels that are NaN in the image) in both the image', ' and the kernel.', " 'fill' will replace the NaN pixels with a fixed numerical value (default", ' zero, see ``fill_value``) prior to convolution', ' Note that if the kernel has a sum equal to zero, NaN interpolation', ' is not possible and will raise an exception', '', ' **preserve_nan** : bool', '', ' After performing convolution, should pixels that were originally NaN', ' again become NaN?', '', ' **mask** : `None` or `numpy.ndarray`', '', ' A "mask" array. Shape must match ``array``, and anything that is masked', ' (i.e., not 0/`False`) will be set to NaN for the convolution. If', ' `None`, no masking will be performed unless ``array`` is a masked array.', ' If ``mask`` is not `None` *and* ``array`` is a masked array, a pixel is', ' masked of it is masked in either ``mask`` *or* ``array.mask``.', '', ' **normalization_zero_tol: float, optional**', '', ' The absolute tolerance on whether the kernel is different than zero.', ' If the kernel sums to zero to within this precision, it cannot be', ' normalized. Default is "1e-8".', '', ':Returns:', '', ' **result** : `numpy.ndarray`', '', ' An array with the same dimensions and as the input array,', ' convolved with kernel. The data type depends on the input', ' array type. If array is a floating point type, then the', ' return array keeps the same data type, otherwise the type', ' is ``numpy.float``.', '', '.. rubric:: Notes', '', '', 'For masked arrays, masked values are treated as NaNs. The convolution', 'is always done at ``numpy.float`` precision.']:65: WARNING: py:obj reference target not found: None ["convolve(array, kernel, boundary='fill', fill_value=0.0, nan_treatment='interpolate', normalize_kernel=True, mask=None, preserve_nan=False, normalization_zero_tol=1e-08)", ':module: astropy.convolution', '', '', '', 'Convolve an array with a kernel.', '', 'This routine differs from `scipy.ndimage.convolve` because', 'it includes a special treatment for ``NaN`` values. Rather than', 'including ``NaN`` values in the array in the convolution calculation, which', 'causes large ``NaN`` holes in the convolved array, ``NaN`` values are', 'replaced with interpolated values using the kernel as an interpolation', 'function.', '', ':Parameters:', '', ' **array** : `numpy.ndarray` or `~astropy.nddata.NDData`', '', ' The array to convolve. This should be a 1, 2, or 3-dimensional array', ' or a list or a set of nested lists representing a 1, 2, or', ' 3-dimensional array. If an `~astropy.nddata.NDData`, the ``mask`` of', ' the `~astropy.nddata.NDData` will be used as the ``mask`` argument.', '', ' **kernel** : `numpy.ndarray` or `~astropy.convolution.Kernel`', '', ' The convolution kernel. The number of dimensions should match those for', ' the array, and the dimensions should be odd in all directions. If a', ' masked array, the masked values will be replaced by ``fill_value``.', '', ' **boundary** : str, optional', '', ' A flag indicating how to handle boundaries:', ' * `None`', ' Set the ``result`` values to zero where the kernel', ' extends beyond the edge of the array (default).', " * 'fill'", ' Set values outside the array boundary to ``fill_value``.', " * 'wrap'", ' Periodic boundary that wrap to the other side of ``array``.', " * 'extend'", ' Set values outside the array to the nearest ``array``', ' value.', '', ' **fill_value** : float, optional', '', " The value to use outside the array when using ``boundary='fill'``", '', ' **normalize_kernel** : bool, optional', '', ' Whether to normalize the kernel to have a sum of one prior to', ' convolving', '', " **nan_treatment** : 'interpolate', 'fill'", '', ' interpolate will result in renormalization of the kernel at each', ' position ignoring (pixels that are NaN in the image) in both the image', ' and the kernel.', " 'fill' will replace the NaN pixels with a fixed numerical value (default", ' zero, see ``fill_value``) prior to convolution', ' Note that if the kernel has a sum equal to zero, NaN interpolation', ' is not possible and will raise an exception', '', ' **preserve_nan** : bool', '', ' After performing convolution, should pixels that were originally NaN', ' again become NaN?', '', ' **mask** : `None` or `numpy.ndarray`', '', ' A "mask" array. Shape must match ``array``, and anything that is masked', ' (i.e., not 0/`False`) will be set to NaN for the convolution. If', ' `None`, no masking will be performed unless ``array`` is a masked array.', ' If ``mask`` is not `None` *and* ``array`` is a masked array, a pixel is', ' masked of it is masked in either ``mask`` *or* ``array.mask``.', '', ' **normalization_zero_tol: float, optional**', '', ' The absolute tolerance on whether the kernel is different than zero.', ' If the kernel sums to zero to within this precision, it cannot be', ' normalized. Default is "1e-8".', '', ':Returns:', '', ' **result** : `numpy.ndarray`', '', ' An array with the same dimensions and as the input array,', ' convolved with kernel. The data type depends on the input', ' array type. If array is a floating point type, then the', ' return array keeps the same data type, otherwise the type', ' is ``numpy.float``.', '', '.. rubric:: Notes', '', '', 'For masked arrays, masked values are treated as NaNs. The convolution', 'is always done at ``numpy.float`` precision.']:65: WARNING: py:obj reference target not found: numpy.ndarray ["convolve(array, kernel, boundary='fill', fill_value=0.0, nan_treatment='interpolate', normalize_kernel=True, mask=None, preserve_nan=False, normalization_zero_tol=1e-08)", ':module: astropy.convolution', '', '', '', 'Convolve an array with a kernel.', '', 'This routine differs from `scipy.ndimage.convolve` because', 'it includes a special treatment for ``NaN`` values. Rather than', 'including ``NaN`` values in the array in the convolution calculation, which', 'causes large ``NaN`` holes in the convolved array, ``NaN`` values are', 'replaced with interpolated values using the kernel as an interpolation', 'function.', '', ':Parameters:', '', ' **array** : `numpy.ndarray` or `~astropy.nddata.NDData`', '', ' The array to convolve. This should be a 1, 2, or 3-dimensional array', ' or a list or a set of nested lists representing a 1, 2, or', ' 3-dimensional array. If an `~astropy.nddata.NDData`, the ``mask`` of', ' the `~astropy.nddata.NDData` will be used as the ``mask`` argument.', '', ' **kernel** : `numpy.ndarray` or `~astropy.convolution.Kernel`', '', ' The convolution kernel. The number of dimensions should match those for', ' the array, and the dimensions should be odd in all directions. If a', ' masked array, the masked values will be replaced by ``fill_value``.', '', ' **boundary** : str, optional', '', ' A flag indicating how to handle boundaries:', ' * `None`', ' Set the ``result`` values to zero where the kernel', ' extends beyond the edge of the array (default).', " * 'fill'", ' Set values outside the array boundary to ``fill_value``.', " * 'wrap'", ' Periodic boundary that wrap to the other side of ``array``.', " * 'extend'", ' Set values outside the array to the nearest ``array``', ' value.', '', ' **fill_value** : float, optional', '', " The value to use outside the array when using ``boundary='fill'``", '', ' **normalize_kernel** : bool, optional', '', ' Whether to normalize the kernel to have a sum of one prior to', ' convolving', '', " **nan_treatment** : 'interpolate', 'fill'", '', ' interpolate will result in renormalization of the kernel at each', ' position ignoring (pixels that are NaN in the image) in both the image', ' and the kernel.', " 'fill' will replace the NaN pixels with a fixed numerical value (default", ' zero, see ``fill_value``) prior to convolution', ' Note that if the kernel has a sum equal to zero, NaN interpolation', ' is not possible and will raise an exception', '', ' **preserve_nan** : bool', '', ' After performing convolution, should pixels that were originally NaN', ' again become NaN?', '', ' **mask** : `None` or `numpy.ndarray`', '', ' A "mask" array. Shape must match ``array``, and anything that is masked', ' (i.e., not 0/`False`) will be set to NaN for the convolution. If', ' `None`, no masking will be performed unless ``array`` is a masked array.', ' If ``mask`` is not `None` *and* ``array`` is a masked array, a pixel is', ' masked of it is masked in either ``mask`` *or* ``array.mask``.', '', ' **normalization_zero_tol: float, optional**', '', ' The absolute tolerance on whether the kernel is different than zero.', ' If the kernel sums to zero to within this precision, it cannot be', ' normalized. Default is "1e-8".', '', ':Returns:', '', ' **result** : `numpy.ndarray`', '', ' An array with the same dimensions and as the input array,', ' convolved with kernel. The data type depends on the input', ' array type. If array is a floating point type, then the', ' return array keeps the same data type, otherwise the type', ' is ``numpy.float``.', '', '.. rubric:: Notes', '', '', 'For masked arrays, masked values are treated as NaNs. The convolution', 'is always done at ``numpy.float`` precision.']:67: WARNING: py:obj reference target not found: False ["convolve(array, kernel, boundary='fill', fill_value=0.0, nan_treatment='interpolate', normalize_kernel=True, mask=None, preserve_nan=False, normalization_zero_tol=1e-08)", ':module: astropy.convolution', '', '', '', 'Convolve an array with a kernel.', '', 'This routine differs from `scipy.ndimage.convolve` because', 'it includes a special treatment for ``NaN`` values. Rather than', 'including ``NaN`` values in the array in the convolution calculation, which', 'causes large ``NaN`` holes in the convolved array, ``NaN`` values are', 'replaced with interpolated values using the kernel as an interpolation', 'function.', '', ':Parameters:', '', ' **array** : `numpy.ndarray` or `~astropy.nddata.NDData`', '', ' The array to convolve. This should be a 1, 2, or 3-dimensional array', ' or a list or a set of nested lists representing a 1, 2, or', ' 3-dimensional array. If an `~astropy.nddata.NDData`, the ``mask`` of', ' the `~astropy.nddata.NDData` will be used as the ``mask`` argument.', '', ' **kernel** : `numpy.ndarray` or `~astropy.convolution.Kernel`', '', ' The convolution kernel. The number of dimensions should match those for', ' the array, and the dimensions should be odd in all directions. If a', ' masked array, the masked values will be replaced by ``fill_value``.', '', ' **boundary** : str, optional', '', ' A flag indicating how to handle boundaries:', ' * `None`', ' Set the ``result`` values to zero where the kernel', ' extends beyond the edge of the array (default).', " * 'fill'", ' Set values outside the array boundary to ``fill_value``.', " * 'wrap'", ' Periodic boundary that wrap to the other side of ``array``.', " * 'extend'", ' Set values outside the array to the nearest ``array``', ' value.', '', ' **fill_value** : float, optional', '', " The value to use outside the array when using ``boundary='fill'``", '', ' **normalize_kernel** : bool, optional', '', ' Whether to normalize the kernel to have a sum of one prior to', ' convolving', '', " **nan_treatment** : 'interpolate', 'fill'", '', ' interpolate will result in renormalization of the kernel at each', ' position ignoring (pixels that are NaN in the image) in both the image', ' and the kernel.', " 'fill' will replace the NaN pixels with a fixed numerical value (default", ' zero, see ``fill_value``) prior to convolution', ' Note that if the kernel has a sum equal to zero, NaN interpolation', ' is not possible and will raise an exception', '', ' **preserve_nan** : bool', '', ' After performing convolution, should pixels that were originally NaN', ' again become NaN?', '', ' **mask** : `None` or `numpy.ndarray`', '', ' A "mask" array. Shape must match ``array``, and anything that is masked', ' (i.e., not 0/`False`) will be set to NaN for the convolution. If', ' `None`, no masking will be performed unless ``array`` is a masked array.', ' If ``mask`` is not `None` *and* ``array`` is a masked array, a pixel is', ' masked of it is masked in either ``mask`` *or* ``array.mask``.', '', ' **normalization_zero_tol: float, optional**', '', ' The absolute tolerance on whether the kernel is different than zero.', ' If the kernel sums to zero to within this precision, it cannot be', ' normalized. Default is "1e-8".', '', ':Returns:', '', ' **result** : `numpy.ndarray`', '', ' An array with the same dimensions and as the input array,', ' convolved with kernel. The data type depends on the input', ' array type. If array is a floating point type, then the', ' return array keeps the same data type, otherwise the type', ' is ``numpy.float``.', '', '.. rubric:: Notes', '', '', 'For masked arrays, masked values are treated as NaNs. The convolution', 'is always done at ``numpy.float`` precision.']:67: WARNING: py:obj reference target not found: None ["convolve(array, kernel, boundary='fill', fill_value=0.0, nan_treatment='interpolate', normalize_kernel=True, mask=None, preserve_nan=False, normalization_zero_tol=1e-08)", ':module: astropy.convolution', '', '', '', 'Convolve an array with a kernel.', '', 'This routine differs from `scipy.ndimage.convolve` because', 'it includes a special treatment for ``NaN`` values. Rather than', 'including ``NaN`` values in the array in the convolution calculation, which', 'causes large ``NaN`` holes in the convolved array, ``NaN`` values are', 'replaced with interpolated values using the kernel as an interpolation', 'function.', '', ':Parameters:', '', ' **array** : `numpy.ndarray` or `~astropy.nddata.NDData`', '', ' The array to convolve. This should be a 1, 2, or 3-dimensional array', ' or a list or a set of nested lists representing a 1, 2, or', ' 3-dimensional array. If an `~astropy.nddata.NDData`, the ``mask`` of', ' the `~astropy.nddata.NDData` will be used as the ``mask`` argument.', '', ' **kernel** : `numpy.ndarray` or `~astropy.convolution.Kernel`', '', ' The convolution kernel. The number of dimensions should match those for', ' the array, and the dimensions should be odd in all directions. If a', ' masked array, the masked values will be replaced by ``fill_value``.', '', ' **boundary** : str, optional', '', ' A flag indicating how to handle boundaries:', ' * `None`', ' Set the ``result`` values to zero where the kernel', ' extends beyond the edge of the array (default).', " * 'fill'", ' Set values outside the array boundary to ``fill_value``.', " * 'wrap'", ' Periodic boundary that wrap to the other side of ``array``.', " * 'extend'", ' Set values outside the array to the nearest ``array``', ' value.', '', ' **fill_value** : float, optional', '', " The value to use outside the array when using ``boundary='fill'``", '', ' **normalize_kernel** : bool, optional', '', ' Whether to normalize the kernel to have a sum of one prior to', ' convolving', '', " **nan_treatment** : 'interpolate', 'fill'", '', ' interpolate will result in renormalization of the kernel at each', ' position ignoring (pixels that are NaN in the image) in both the image', ' and the kernel.', " 'fill' will replace the NaN pixels with a fixed numerical value (default", ' zero, see ``fill_value``) prior to convolution', ' Note that if the kernel has a sum equal to zero, NaN interpolation', ' is not possible and will raise an exception', '', ' **preserve_nan** : bool', '', ' After performing convolution, should pixels that were originally NaN', ' again become NaN?', '', ' **mask** : `None` or `numpy.ndarray`', '', ' A "mask" array. Shape must match ``array``, and anything that is masked', ' (i.e., not 0/`False`) will be set to NaN for the convolution. If', ' `None`, no masking will be performed unless ``array`` is a masked array.', ' If ``mask`` is not `None` *and* ``array`` is a masked array, a pixel is', ' masked of it is masked in either ``mask`` *or* ``array.mask``.', '', ' **normalization_zero_tol: float, optional**', '', ' The absolute tolerance on whether the kernel is different than zero.', ' If the kernel sums to zero to within this precision, it cannot be', ' normalized. Default is "1e-8".', '', ':Returns:', '', ' **result** : `numpy.ndarray`', '', ' An array with the same dimensions and as the input array,', ' convolved with kernel. The data type depends on the input', ' array type. If array is a floating point type, then the', ' return array keeps the same data type, otherwise the type', ' is ``numpy.float``.', '', '.. rubric:: Notes', '', '', 'For masked arrays, masked values are treated as NaNs. The convolution', 'is always done at ``numpy.float`` precision.']:67: WARNING: py:obj reference target not found: None ["convolve(array, kernel, boundary='fill', fill_value=0.0, nan_treatment='interpolate', normalize_kernel=True, mask=None, preserve_nan=False, normalization_zero_tol=1e-08)", ':module: astropy.convolution', '', '', '', 'Convolve an array with a kernel.', '', 'This routine differs from `scipy.ndimage.convolve` because', 'it includes a special treatment for ``NaN`` values. Rather than', 'including ``NaN`` values in the array in the convolution calculation, which', 'causes large ``NaN`` holes in the convolved array, ``NaN`` values are', 'replaced with interpolated values using the kernel as an interpolation', 'function.', '', ':Parameters:', '', ' **array** : `numpy.ndarray` or `~astropy.nddata.NDData`', '', ' The array to convolve. This should be a 1, 2, or 3-dimensional array', ' or a list or a set of nested lists representing a 1, 2, or', ' 3-dimensional array. If an `~astropy.nddata.NDData`, the ``mask`` of', ' the `~astropy.nddata.NDData` will be used as the ``mask`` argument.', '', ' **kernel** : `numpy.ndarray` or `~astropy.convolution.Kernel`', '', ' The convolution kernel. The number of dimensions should match those for', ' the array, and the dimensions should be odd in all directions. If a', ' masked array, the masked values will be replaced by ``fill_value``.', '', ' **boundary** : str, optional', '', ' A flag indicating how to handle boundaries:', ' * `None`', ' Set the ``result`` values to zero where the kernel', ' extends beyond the edge of the array (default).', " * 'fill'", ' Set values outside the array boundary to ``fill_value``.', " * 'wrap'", ' Periodic boundary that wrap to the other side of ``array``.', " * 'extend'", ' Set values outside the array to the nearest ``array``', ' value.', '', ' **fill_value** : float, optional', '', " The value to use outside the array when using ``boundary='fill'``", '', ' **normalize_kernel** : bool, optional', '', ' Whether to normalize the kernel to have a sum of one prior to', ' convolving', '', " **nan_treatment** : 'interpolate', 'fill'", '', ' interpolate will result in renormalization of the kernel at each', ' position ignoring (pixels that are NaN in the image) in both the image', ' and the kernel.', " 'fill' will replace the NaN pixels with a fixed numerical value (default", ' zero, see ``fill_value``) prior to convolution', ' Note that if the kernel has a sum equal to zero, NaN interpolation', ' is not possible and will raise an exception', '', ' **preserve_nan** : bool', '', ' After performing convolution, should pixels that were originally NaN', ' again become NaN?', '', ' **mask** : `None` or `numpy.ndarray`', '', ' A "mask" array. Shape must match ``array``, and anything that is masked', ' (i.e., not 0/`False`) will be set to NaN for the convolution. If', ' `None`, no masking will be performed unless ``array`` is a masked array.', ' If ``mask`` is not `None` *and* ``array`` is a masked array, a pixel is', ' masked of it is masked in either ``mask`` *or* ``array.mask``.', '', ' **normalization_zero_tol: float, optional**', '', ' The absolute tolerance on whether the kernel is different than zero.', ' If the kernel sums to zero to within this precision, it cannot be', ' normalized. Default is "1e-8".', '', ':Returns:', '', ' **result** : `numpy.ndarray`', '', ' An array with the same dimensions and as the input array,', ' convolved with kernel. The data type depends on the input', ' array type. If array is a floating point type, then the', ' return array keeps the same data type, otherwise the type', ' is ``numpy.float``.', '', '.. rubric:: Notes', '', '', 'For masked arrays, masked values are treated as NaNs. The convolution', 'is always done at ``numpy.float`` precision.']:81: WARNING: py:obj reference target not found: numpy.ndarray /<>/docs/api/astropy.convolution.convolve_fft.rst:17: WARNING: py:obj reference target not found: scipy.signal.fftconvolve ["convolve_fft(array, kernel, boundary='fill', fill_value=0.0, nan_treatment='interpolate', normalize_kernel=True, normalization_zero_tol=1e-08, preserve_nan=False, mask=None, crop=True, return_fft=False, fft_pad=None, psf_pad=None, quiet=False, min_wt=0.0, allow_huge=False, fftn=, ifftn=, complex_dtype=)", ':module: astropy.convolution', '', '', '', 'Convolve an ndarray with an nd-kernel. Returns a convolved image with', '``shape = array.shape``. Assumes kernel is centered.', '', '`convolve_fft` is very similar to `convolve` in that it replaces ``NaN``', 'values in the original image with interpolated values using the kernel as', 'an interpolation function. However, it also includes many additional', 'options specific to the implementation.', '', '`convolve_fft` differs from `scipy.signal.fftconvolve` in a few ways:', '', '* It can treat ``NaN`` values as zeros or interpolate over them.', '* ``inf`` values are treated as ``NaN``', '* (optionally) It pads to the nearest 2^n size to improve FFT speed.', "* Its only valid ``mode`` is 'same' (i.e., the same shape array is returned)", '* It lets you use your own fft, e.g.,', ' `pyFFTW `_ or', ' `pyFFTW3 `_ , which can lead to', ' performance improvements, depending on your system configuration. pyFFTW3', ' is threaded, and therefore may yield significant performance benefits on', ' multi-core machines at the cost of greater memory requirements. Specify', ' the ``fftn`` and ``ifftn`` keywords to override the default, which is', ' `numpy.fft.fft` and `numpy.fft.ifft`.', '', ':Parameters:', '', ' **array** : `numpy.ndarray`', '', ' Array to be convolved with ``kernel``. It can be of any', ' dimensionality, though only 1, 2, and 3d arrays have been tested.', '', ' **kernel** : `numpy.ndarray` or `astropy.convolution.Kernel`', '', ' The convolution kernel. The number of dimensions should match those', ' for the array. The dimensions *do not* have to be odd in all directions,', ' unlike in the non-fft `convolve` function. The kernel will be', ' normalized if ``normalize_kernel`` is set. It is assumed to be centered', ' (i.e., shifts may result if your kernel is asymmetric)', '', " **boundary** : {'fill', 'wrap'}, optional", '', ' A flag indicating how to handle boundaries:', ' ', " * 'fill': set values outside the array boundary to fill_value", ' (default)', " * 'wrap': periodic boundary", ' ', " The `None` and 'extend' parameters are not supported for FFT-based", ' convolution', '', ' **fill_value** : float, optional', '', " The value to use outside the array when using boundary='fill'", '', " **nan_treatment** : 'interpolate', 'fill'", '', ' ``interpolate`` will result in renormalization of the kernel at each', ' position ignoring (pixels that are NaN in the image) in both the image', ' and the kernel. ``fill`` will replace the NaN pixels with a fixed', ' numerical value (default zero, see ``fill_value``) prior to', ' convolution. Note that if the kernel has a sum equal to zero, NaN', ' interpolation is not possible and will raise an exception.', '', ' **normalize_kernel** : function or boolean, optional', '', ' If specified, this is the function to divide kernel by to normalize it.', ' e.g., ``normalize_kernel=np.sum`` means that kernel will be modified to be:', ' ``kernel = kernel / np.sum(kernel)``. If True, defaults to', ' ``normalize_kernel = np.sum``.', '', ' **normalization_zero_tol: float, optional**', '', ' The absolute tolerance on whether the kernel is different than zero.', ' If the kernel sums to zero to within this precision, it cannot be', ' normalized. Default is "1e-8".', '', ' **preserve_nan** : bool', '', ' After performing convolution, should pixels that were originally NaN', ' again become NaN?', '', ' **mask** : `None` or `numpy.ndarray`', '', ' A "mask" array. Shape must match ``array``, and anything that is masked', ' (i.e., not 0/`False`) will be set to NaN for the convolution. If', ' `None`, no masking will be performed unless ``array`` is a masked array.', ' If ``mask`` is not `None` *and* ``array`` is a masked array, a pixel is', ' masked of it is masked in either ``mask`` *or* ``array.mask``.', '', ':Returns:', '', ' **default** : ndarray', '', ' ``array`` convolved with ``kernel``. If ``return_fft`` is set, returns', ' ``fft(array) * fft(kernel)``. If crop is not set, returns the', ' image, but with the fft-padded size instead of the input size', '', ':Other Parameters:', '', ' **min_wt** : float, optional', '', ' If ignoring ``NaN`` / zeros, force all grid points with a weight less than', ' this value to ``NaN`` (the weight of a grid point with *no* ignored', ' neighbors is 1.0).', ' If ``min_wt`` is zero, then all zero-weight points will be set to zero', ' instead of ``NaN`` (which they would be otherwise, because 1/0 = nan).', ' See the examples below', '', ' **fft_pad** : bool, optional', '', ' Default on. Zero-pad image to the nearest 2^n. With', " ``boundary='wrap'``, this will be disabled.", '', ' **psf_pad** : bool, optional', '', ' Zero-pad image to be at least the sum of the image sizes to avoid', ' edge-wrapping when smoothing. This is enabled by default with', " ``boundary='fill'``, but it can be overridden with a boolean option.", " ``boundary='wrap'`` and ``psf_pad=True`` are not compatible.", '', ' **crop** : bool, optional', '', ' Default on. Return an image of the size of the larger of the input', ' image and the kernel.', ' If the image and kernel are asymmetric in opposite directions, will', ' return the largest image in both directions.', ' For example, if an input image has shape [100,3] but a kernel with shape', ' [6,6] is used, the output will be [100,6].', '', ' **return_fft** : bool, optional', '', ' Return the ``fft(image)*fft(kernel)`` instead of the convolution (which is', ' ``ifft(fft(image)*fft(kernel))``). Useful for making PSDs.', '', ' **fftn, ifftn** : functions, optional', '', ' The fft and inverse fft functions. Can be overridden to use your own', " ffts, e.g. an fftw3 wrapper or scipy's fftn,", ' ``fft=scipy.fftpack.fftn``', '', ' **complex_dtype** : numpy.complex, optional', '', ' Which complex dtype to use. `numpy` has a range of options, from 64 to', ' 256.', '', ' **quiet** : bool, optional', '', ' Silence warning message about NaN interpolation', '', ' **allow_huge** : bool, optional', '', ' Allow huge arrays in the FFT? If False, will raise an exception if the', ' array or kernel size is >1 GB', '', ':Raises:', '', ' **ValueError:**', '', ' If the array is bigger than 1 GB after padding, will raise this exception', ' unless ``allow_huge`` is True', '', '.. seealso::', '', ' ', ' :obj:`convolve`', ' Convolve is a non-fft version of this code. It is more memory efficient and for small kernels can be faster.', ' ', '.. rubric:: Notes', '', '', 'With ``psf_pad=True`` and a large PSF, the resulting data can become', 'very large and consume a lot of memory. See Issue', 'https://github.com/astropy/astropy/pull/4366 for further detail.', '', '.. rubric:: Examples', '', '', '>>> convolve_fft([1, 0, 3], [1, 1, 1])', 'array([ 1., 4., 3.])', '', '>>> convolve_fft([1, np.nan, 3], [1, 1, 1])', 'array([ 1., 4., 3.])', '', '>>> convolve_fft([1, 0, 3], [0, 1, 0])', 'array([ 1., 0., 3.])', '', '>>> convolve_fft([1, 2, 3], [1])', 'array([ 1., 2., 3.])', '', ">>> convolve_fft([1, np.nan, 3], [0, 1, 0], nan_treatment='interpolate')", '...', 'array([ 1., 0., 3.])', '', ">>> convolve_fft([1, np.nan, 3], [0, 1, 0], nan_treatment='interpolate',", '... min_wt=1e-8)', 'array([ 1., nan, 3.])', '', ">>> convolve_fft([1, np.nan, 3], [1, 1, 1], nan_treatment='interpolate')", 'array([ 1., 4., 3.])', '', ">>> convolve_fft([1, np.nan, 3], [1, 1, 1], nan_treatment='interpolate',", '... normalize_kernel=True)', 'array([ 1., 2., 3.])', '', '>>> import scipy.fftpack # optional - requires scipy', ">>> convolve_fft([1, np.nan, 3], [1, 1, 1], nan_treatment='interpolate',", '... normalize_kernel=True,', '... fftn=scipy.fftpack.fft, ifftn=scipy.fftpack.ifft)', 'array([ 1., 2., 3.])']:17: WARNING: py:obj reference target not found: numpy.fft.fft ["convolve_fft(array, kernel, boundary='fill', fill_value=0.0, nan_treatment='interpolate', normalize_kernel=True, normalization_zero_tol=1e-08, preserve_nan=False, mask=None, crop=True, return_fft=False, fft_pad=None, psf_pad=None, quiet=False, min_wt=0.0, allow_huge=False, fftn=, ifftn=, complex_dtype=)", ':module: astropy.convolution', '', '', '', 'Convolve an ndarray with an nd-kernel. Returns a convolved image with', '``shape = array.shape``. Assumes kernel is centered.', '', '`convolve_fft` is very similar to `convolve` in that it replaces ``NaN``', 'values in the original image with interpolated values using the kernel as', 'an interpolation function. However, it also includes many additional', 'options specific to the implementation.', '', '`convolve_fft` differs from `scipy.signal.fftconvolve` in a few ways:', '', '* It can treat ``NaN`` values as zeros or interpolate over them.', '* ``inf`` values are treated as ``NaN``', '* (optionally) It pads to the nearest 2^n size to improve FFT speed.', "* Its only valid ``mode`` is 'same' (i.e., the same shape array is returned)", '* It lets you use your own fft, e.g.,', ' `pyFFTW `_ or', ' `pyFFTW3 `_ , which can lead to', ' performance improvements, depending on your system configuration. pyFFTW3', ' is threaded, and therefore may yield significant performance benefits on', ' multi-core machines at the cost of greater memory requirements. Specify', ' the ``fftn`` and ``ifftn`` keywords to override the default, which is', ' `numpy.fft.fft` and `numpy.fft.ifft`.', '', ':Parameters:', '', ' **array** : `numpy.ndarray`', '', ' Array to be convolved with ``kernel``. It can be of any', ' dimensionality, though only 1, 2, and 3d arrays have been tested.', '', ' **kernel** : `numpy.ndarray` or `astropy.convolution.Kernel`', '', ' The convolution kernel. The number of dimensions should match those', ' for the array. The dimensions *do not* have to be odd in all directions,', ' unlike in the non-fft `convolve` function. The kernel will be', ' normalized if ``normalize_kernel`` is set. It is assumed to be centered', ' (i.e., shifts may result if your kernel is asymmetric)', '', " **boundary** : {'fill', 'wrap'}, optional", '', ' A flag indicating how to handle boundaries:', ' ', " * 'fill': set values outside the array boundary to fill_value", ' (default)', " * 'wrap': periodic boundary", ' ', " The `None` and 'extend' parameters are not supported for FFT-based", ' convolution', '', ' **fill_value** : float, optional', '', " The value to use outside the array when using boundary='fill'", '', " **nan_treatment** : 'interpolate', 'fill'", '', ' ``interpolate`` will result in renormalization of the kernel at each', ' position ignoring (pixels that are NaN in the image) in both the image', ' and the kernel. ``fill`` will replace the NaN pixels with a fixed', ' numerical value (default zero, see ``fill_value``) prior to', ' convolution. Note that if the kernel has a sum equal to zero, NaN', ' interpolation is not possible and will raise an exception.', '', ' **normalize_kernel** : function or boolean, optional', '', ' If specified, this is the function to divide kernel by to normalize it.', ' e.g., ``normalize_kernel=np.sum`` means that kernel will be modified to be:', ' ``kernel = kernel / np.sum(kernel)``. If True, defaults to', ' ``normalize_kernel = np.sum``.', '', ' **normalization_zero_tol: float, optional**', '', ' The absolute tolerance on whether the kernel is different than zero.', ' If the kernel sums to zero to within this precision, it cannot be', ' normalized. Default is "1e-8".', '', ' **preserve_nan** : bool', '', ' After performing convolution, should pixels that were originally NaN', ' again become NaN?', '', ' **mask** : `None` or `numpy.ndarray`', '', ' A "mask" array. Shape must match ``array``, and anything that is masked', ' (i.e., not 0/`False`) will be set to NaN for the convolution. If', ' `None`, no masking will be performed unless ``array`` is a masked array.', ' If ``mask`` is not `None` *and* ``array`` is a masked array, a pixel is', ' masked of it is masked in either ``mask`` *or* ``array.mask``.', '', ':Returns:', '', ' **default** : ndarray', '', ' ``array`` convolved with ``kernel``. If ``return_fft`` is set, returns', ' ``fft(array) * fft(kernel)``. If crop is not set, returns the', ' image, but with the fft-padded size instead of the input size', '', ':Other Parameters:', '', ' **min_wt** : float, optional', '', ' If ignoring ``NaN`` / zeros, force all grid points with a weight less than', ' this value to ``NaN`` (the weight of a grid point with *no* ignored', ' neighbors is 1.0).', ' If ``min_wt`` is zero, then all zero-weight points will be set to zero', ' instead of ``NaN`` (which they would be otherwise, because 1/0 = nan).', ' See the examples below', '', ' **fft_pad** : bool, optional', '', ' Default on. Zero-pad image to the nearest 2^n. With', " ``boundary='wrap'``, this will be disabled.", '', ' **psf_pad** : bool, optional', '', ' Zero-pad image to be at least the sum of the image sizes to avoid', ' edge-wrapping when smoothing. This is enabled by default with', " ``boundary='fill'``, but it can be overridden with a boolean option.", " ``boundary='wrap'`` and ``psf_pad=True`` are not compatible.", '', ' **crop** : bool, optional', '', ' Default on. Return an image of the size of the larger of the input', ' image and the kernel.', ' If the image and kernel are asymmetric in opposite directions, will', ' return the largest image in both directions.', ' For example, if an input image has shape [100,3] but a kernel with shape', ' [6,6] is used, the output will be [100,6].', '', ' **return_fft** : bool, optional', '', ' Return the ``fft(image)*fft(kernel)`` instead of the convolution (which is', ' ``ifft(fft(image)*fft(kernel))``). Useful for making PSDs.', '', ' **fftn, ifftn** : functions, optional', '', ' The fft and inverse fft functions. Can be overridden to use your own', " ffts, e.g. an fftw3 wrapper or scipy's fftn,", ' ``fft=scipy.fftpack.fftn``', '', ' **complex_dtype** : numpy.complex, optional', '', ' Which complex dtype to use. `numpy` has a range of options, from 64 to', ' 256.', '', ' **quiet** : bool, optional', '', ' Silence warning message about NaN interpolation', '', ' **allow_huge** : bool, optional', '', ' Allow huge arrays in the FFT? If False, will raise an exception if the', ' array or kernel size is >1 GB', '', ':Raises:', '', ' **ValueError:**', '', ' If the array is bigger than 1 GB after padding, will raise this exception', ' unless ``allow_huge`` is True', '', '.. seealso::', '', ' ', ' :obj:`convolve`', ' Convolve is a non-fft version of this code. It is more memory efficient and for small kernels can be faster.', ' ', '.. rubric:: Notes', '', '', 'With ``psf_pad=True`` and a large PSF, the resulting data can become', 'very large and consume a lot of memory. See Issue', 'https://github.com/astropy/astropy/pull/4366 for further detail.', '', '.. rubric:: Examples', '', '', '>>> convolve_fft([1, 0, 3], [1, 1, 1])', 'array([ 1., 4., 3.])', '', '>>> convolve_fft([1, np.nan, 3], [1, 1, 1])', 'array([ 1., 4., 3.])', '', '>>> convolve_fft([1, 0, 3], [0, 1, 0])', 'array([ 1., 0., 3.])', '', '>>> convolve_fft([1, 2, 3], [1])', 'array([ 1., 2., 3.])', '', ">>> convolve_fft([1, np.nan, 3], [0, 1, 0], nan_treatment='interpolate')", '...', 'array([ 1., 0., 3.])', '', ">>> convolve_fft([1, np.nan, 3], [0, 1, 0], nan_treatment='interpolate',", '... min_wt=1e-8)', 'array([ 1., nan, 3.])', '', ">>> convolve_fft([1, np.nan, 3], [1, 1, 1], nan_treatment='interpolate')", 'array([ 1., 4., 3.])', '', ">>> convolve_fft([1, np.nan, 3], [1, 1, 1], nan_treatment='interpolate',", '... normalize_kernel=True)', 'array([ 1., 2., 3.])', '', '>>> import scipy.fftpack # optional - requires scipy', ">>> convolve_fft([1, np.nan, 3], [1, 1, 1], nan_treatment='interpolate',", '... normalize_kernel=True,', '... fftn=scipy.fftpack.fft, ifftn=scipy.fftpack.ifft)', 'array([ 1., 2., 3.])']:17: WARNING: py:obj reference target not found: numpy.fft.ifft ["convolve_fft(array, kernel, boundary='fill', fill_value=0.0, nan_treatment='interpolate', normalize_kernel=True, normalization_zero_tol=1e-08, preserve_nan=False, mask=None, crop=True, return_fft=False, fft_pad=None, psf_pad=None, quiet=False, min_wt=0.0, allow_huge=False, fftn=, ifftn=, complex_dtype=)", ':module: astropy.convolution', '', '', '', 'Convolve an ndarray with an nd-kernel. Returns a convolved image with', '``shape = array.shape``. Assumes kernel is centered.', '', '`convolve_fft` is very similar to `convolve` in that it replaces ``NaN``', 'values in the original image with interpolated values using the kernel as', 'an interpolation function. However, it also includes many additional', 'options specific to the implementation.', '', '`convolve_fft` differs from `scipy.signal.fftconvolve` in a few ways:', '', '* It can treat ``NaN`` values as zeros or interpolate over them.', '* ``inf`` values are treated as ``NaN``', '* (optionally) It pads to the nearest 2^n size to improve FFT speed.', "* Its only valid ``mode`` is 'same' (i.e., the same shape array is returned)", '* It lets you use your own fft, e.g.,', ' `pyFFTW `_ or', ' `pyFFTW3 `_ , which can lead to', ' performance improvements, depending on your system configuration. pyFFTW3', ' is threaded, and therefore may yield significant performance benefits on', ' multi-core machines at the cost of greater memory requirements. Specify', ' the ``fftn`` and ``ifftn`` keywords to override the default, which is', ' `numpy.fft.fft` and `numpy.fft.ifft`.', '', ':Parameters:', '', ' **array** : `numpy.ndarray`', '', ' Array to be convolved with ``kernel``. It can be of any', ' dimensionality, though only 1, 2, and 3d arrays have been tested.', '', ' **kernel** : `numpy.ndarray` or `astropy.convolution.Kernel`', '', ' The convolution kernel. The number of dimensions should match those', ' for the array. The dimensions *do not* have to be odd in all directions,', ' unlike in the non-fft `convolve` function. The kernel will be', ' normalized if ``normalize_kernel`` is set. It is assumed to be centered', ' (i.e., shifts may result if your kernel is asymmetric)', '', " **boundary** : {'fill', 'wrap'}, optional", '', ' A flag indicating how to handle boundaries:', ' ', " * 'fill': set values outside the array boundary to fill_value", ' (default)', " * 'wrap': periodic boundary", ' ', " The `None` and 'extend' parameters are not supported for FFT-based", ' convolution', '', ' **fill_value** : float, optional', '', " The value to use outside the array when using boundary='fill'", '', " **nan_treatment** : 'interpolate', 'fill'", '', ' ``interpolate`` will result in renormalization of the kernel at each', ' position ignoring (pixels that are NaN in the image) in both the image', ' and the kernel. ``fill`` will replace the NaN pixels with a fixed', ' numerical value (default zero, see ``fill_value``) prior to', ' convolution. Note that if the kernel has a sum equal to zero, NaN', ' interpolation is not possible and will raise an exception.', '', ' **normalize_kernel** : function or boolean, optional', '', ' If specified, this is the function to divide kernel by to normalize it.', ' e.g., ``normalize_kernel=np.sum`` means that kernel will be modified to be:', ' ``kernel = kernel / np.sum(kernel)``. If True, defaults to', ' ``normalize_kernel = np.sum``.', '', ' **normalization_zero_tol: float, optional**', '', ' The absolute tolerance on whether the kernel is different than zero.', ' If the kernel sums to zero to within this precision, it cannot be', ' normalized. Default is "1e-8".', '', ' **preserve_nan** : bool', '', ' After performing convolution, should pixels that were originally NaN', ' again become NaN?', '', ' **mask** : `None` or `numpy.ndarray`', '', ' A "mask" array. Shape must match ``array``, and anything that is masked', ' (i.e., not 0/`False`) will be set to NaN for the convolution. If', ' `None`, no masking will be performed unless ``array`` is a masked array.', ' If ``mask`` is not `None` *and* ``array`` is a masked array, a pixel is', ' masked of it is masked in either ``mask`` *or* ``array.mask``.', '', ':Returns:', '', ' **default** : ndarray', '', ' ``array`` convolved with ``kernel``. If ``return_fft`` is set, returns', ' ``fft(array) * fft(kernel)``. If crop is not set, returns the', ' image, but with the fft-padded size instead of the input size', '', ':Other Parameters:', '', ' **min_wt** : float, optional', '', ' If ignoring ``NaN`` / zeros, force all grid points with a weight less than', ' this value to ``NaN`` (the weight of a grid point with *no* ignored', ' neighbors is 1.0).', ' If ``min_wt`` is zero, then all zero-weight points will be set to zero', ' instead of ``NaN`` (which they would be otherwise, because 1/0 = nan).', ' See the examples below', '', ' **fft_pad** : bool, optional', '', ' Default on. Zero-pad image to the nearest 2^n. With', " ``boundary='wrap'``, this will be disabled.", '', ' **psf_pad** : bool, optional', '', ' Zero-pad image to be at least the sum of the image sizes to avoid', ' edge-wrapping when smoothing. This is enabled by default with', " ``boundary='fill'``, but it can be overridden with a boolean option.", " ``boundary='wrap'`` and ``psf_pad=True`` are not compatible.", '', ' **crop** : bool, optional', '', ' Default on. Return an image of the size of the larger of the input', ' image and the kernel.', ' If the image and kernel are asymmetric in opposite directions, will', ' return the largest image in both directions.', ' For example, if an input image has shape [100,3] but a kernel with shape', ' [6,6] is used, the output will be [100,6].', '', ' **return_fft** : bool, optional', '', ' Return the ``fft(image)*fft(kernel)`` instead of the convolution (which is', ' ``ifft(fft(image)*fft(kernel))``). Useful for making PSDs.', '', ' **fftn, ifftn** : functions, optional', '', ' The fft and inverse fft functions. Can be overridden to use your own', " ffts, e.g. an fftw3 wrapper or scipy's fftn,", ' ``fft=scipy.fftpack.fftn``', '', ' **complex_dtype** : numpy.complex, optional', '', ' Which complex dtype to use. `numpy` has a range of options, from 64 to', ' 256.', '', ' **quiet** : bool, optional', '', ' Silence warning message about NaN interpolation', '', ' **allow_huge** : bool, optional', '', ' Allow huge arrays in the FFT? If False, will raise an exception if the', ' array or kernel size is >1 GB', '', ':Raises:', '', ' **ValueError:**', '', ' If the array is bigger than 1 GB after padding, will raise this exception', ' unless ``allow_huge`` is True', '', '.. seealso::', '', ' ', ' :obj:`convolve`', ' Convolve is a non-fft version of this code. It is more memory efficient and for small kernels can be faster.', ' ', '.. rubric:: Notes', '', '', 'With ``psf_pad=True`` and a large PSF, the resulting data can become', 'very large and consume a lot of memory. See Issue', 'https://github.com/astropy/astropy/pull/4366 for further detail.', '', '.. rubric:: Examples', '', '', '>>> convolve_fft([1, 0, 3], [1, 1, 1])', 'array([ 1., 4., 3.])', '', '>>> convolve_fft([1, np.nan, 3], [1, 1, 1])', 'array([ 1., 4., 3.])', '', '>>> convolve_fft([1, 0, 3], [0, 1, 0])', 'array([ 1., 0., 3.])', '', '>>> convolve_fft([1, 2, 3], [1])', 'array([ 1., 2., 3.])', '', ">>> convolve_fft([1, np.nan, 3], [0, 1, 0], nan_treatment='interpolate')", '...', 'array([ 1., 0., 3.])', '', ">>> convolve_fft([1, np.nan, 3], [0, 1, 0], nan_treatment='interpolate',", '... min_wt=1e-8)', 'array([ 1., nan, 3.])', '', ">>> convolve_fft([1, np.nan, 3], [1, 1, 1], nan_treatment='interpolate')", 'array([ 1., 4., 3.])', '', ">>> convolve_fft([1, np.nan, 3], [1, 1, 1], nan_treatment='interpolate',", '... normalize_kernel=True)', 'array([ 1., 2., 3.])', '', '>>> import scipy.fftpack # optional - requires scipy', ">>> convolve_fft([1, np.nan, 3], [1, 1, 1], nan_treatment='interpolate',", '... normalize_kernel=True,', '... fftn=scipy.fftpack.fft, ifftn=scipy.fftpack.ifft)', 'array([ 1., 2., 3.])']:28: WARNING: py:obj reference target not found: numpy.ndarray ["convolve_fft(array, kernel, boundary='fill', fill_value=0.0, nan_treatment='interpolate', normalize_kernel=True, normalization_zero_tol=1e-08, preserve_nan=False, mask=None, crop=True, return_fft=False, fft_pad=None, psf_pad=None, quiet=False, min_wt=0.0, allow_huge=False, fftn=, ifftn=, complex_dtype=)", ':module: astropy.convolution', '', '', '', 'Convolve an ndarray with an nd-kernel. Returns a convolved image with', '``shape = array.shape``. Assumes kernel is centered.', '', '`convolve_fft` is very similar to `convolve` in that it replaces ``NaN``', 'values in the original image with interpolated values using the kernel as', 'an interpolation function. However, it also includes many additional', 'options specific to the implementation.', '', '`convolve_fft` differs from `scipy.signal.fftconvolve` in a few ways:', '', '* It can treat ``NaN`` values as zeros or interpolate over them.', '* ``inf`` values are treated as ``NaN``', '* (optionally) It pads to the nearest 2^n size to improve FFT speed.', "* Its only valid ``mode`` is 'same' (i.e., the same shape array is returned)", '* It lets you use your own fft, e.g.,', ' `pyFFTW `_ or', ' `pyFFTW3 `_ , which can lead to', ' performance improvements, depending on your system configuration. pyFFTW3', ' is threaded, and therefore may yield significant performance benefits on', ' multi-core machines at the cost of greater memory requirements. Specify', ' the ``fftn`` and ``ifftn`` keywords to override the default, which is', ' `numpy.fft.fft` and `numpy.fft.ifft`.', '', ':Parameters:', '', ' **array** : `numpy.ndarray`', '', ' Array to be convolved with ``kernel``. It can be of any', ' dimensionality, though only 1, 2, and 3d arrays have been tested.', '', ' **kernel** : `numpy.ndarray` or `astropy.convolution.Kernel`', '', ' The convolution kernel. The number of dimensions should match those', ' for the array. The dimensions *do not* have to be odd in all directions,', ' unlike in the non-fft `convolve` function. The kernel will be', ' normalized if ``normalize_kernel`` is set. It is assumed to be centered', ' (i.e., shifts may result if your kernel is asymmetric)', '', " **boundary** : {'fill', 'wrap'}, optional", '', ' A flag indicating how to handle boundaries:', ' ', " * 'fill': set values outside the array boundary to fill_value", ' (default)', " * 'wrap': periodic boundary", ' ', " The `None` and 'extend' parameters are not supported for FFT-based", ' convolution', '', ' **fill_value** : float, optional', '', " The value to use outside the array when using boundary='fill'", '', " **nan_treatment** : 'interpolate', 'fill'", '', ' ``interpolate`` will result in renormalization of the kernel at each', ' position ignoring (pixels that are NaN in the image) in both the image', ' and the kernel. ``fill`` will replace the NaN pixels with a fixed', ' numerical value (default zero, see ``fill_value``) prior to', ' convolution. Note that if the kernel has a sum equal to zero, NaN', ' interpolation is not possible and will raise an exception.', '', ' **normalize_kernel** : function or boolean, optional', '', ' If specified, this is the function to divide kernel by to normalize it.', ' e.g., ``normalize_kernel=np.sum`` means that kernel will be modified to be:', ' ``kernel = kernel / np.sum(kernel)``. If True, defaults to', ' ``normalize_kernel = np.sum``.', '', ' **normalization_zero_tol: float, optional**', '', ' The absolute tolerance on whether the kernel is different than zero.', ' If the kernel sums to zero to within this precision, it cannot be', ' normalized. Default is "1e-8".', '', ' **preserve_nan** : bool', '', ' After performing convolution, should pixels that were originally NaN', ' again become NaN?', '', ' **mask** : `None` or `numpy.ndarray`', '', ' A "mask" array. Shape must match ``array``, and anything that is masked', ' (i.e., not 0/`False`) will be set to NaN for the convolution. If', ' `None`, no masking will be performed unless ``array`` is a masked array.', ' If ``mask`` is not `None` *and* ``array`` is a masked array, a pixel is', ' masked of it is masked in either ``mask`` *or* ``array.mask``.', '', ':Returns:', '', ' **default** : ndarray', '', ' ``array`` convolved with ``kernel``. If ``return_fft`` is set, returns', ' ``fft(array) * fft(kernel)``. If crop is not set, returns the', ' image, but with the fft-padded size instead of the input size', '', ':Other Parameters:', '', ' **min_wt** : float, optional', '', ' If ignoring ``NaN`` / zeros, force all grid points with a weight less than', ' this value to ``NaN`` (the weight of a grid point with *no* ignored', ' neighbors is 1.0).', ' If ``min_wt`` is zero, then all zero-weight points will be set to zero', ' instead of ``NaN`` (which they would be otherwise, because 1/0 = nan).', ' See the examples below', '', ' **fft_pad** : bool, optional', '', ' Default on. Zero-pad image to the nearest 2^n. With', " ``boundary='wrap'``, this will be disabled.", '', ' **psf_pad** : bool, optional', '', ' Zero-pad image to be at least the sum of the image sizes to avoid', ' edge-wrapping when smoothing. This is enabled by default with', " ``boundary='fill'``, but it can be overridden with a boolean option.", " ``boundary='wrap'`` and ``psf_pad=True`` are not compatible.", '', ' **crop** : bool, optional', '', ' Default on. Return an image of the size of the larger of the input', ' image and the kernel.', ' If the image and kernel are asymmetric in opposite directions, will', ' return the largest image in both directions.', ' For example, if an input image has shape [100,3] but a kernel with shape', ' [6,6] is used, the output will be [100,6].', '', ' **return_fft** : bool, optional', '', ' Return the ``fft(image)*fft(kernel)`` instead of the convolution (which is', ' ``ifft(fft(image)*fft(kernel))``). Useful for making PSDs.', '', ' **fftn, ifftn** : functions, optional', '', ' The fft and inverse fft functions. Can be overridden to use your own', " ffts, e.g. an fftw3 wrapper or scipy's fftn,", ' ``fft=scipy.fftpack.fftn``', '', ' **complex_dtype** : numpy.complex, optional', '', ' Which complex dtype to use. `numpy` has a range of options, from 64 to', ' 256.', '', ' **quiet** : bool, optional', '', ' Silence warning message about NaN interpolation', '', ' **allow_huge** : bool, optional', '', ' Allow huge arrays in the FFT? If False, will raise an exception if the', ' array or kernel size is >1 GB', '', ':Raises:', '', ' **ValueError:**', '', ' If the array is bigger than 1 GB after padding, will raise this exception', ' unless ``allow_huge`` is True', '', '.. seealso::', '', ' ', ' :obj:`convolve`', ' Convolve is a non-fft version of this code. It is more memory efficient and for small kernels can be faster.', ' ', '.. rubric:: Notes', '', '', 'With ``psf_pad=True`` and a large PSF, the resulting data can become', 'very large and consume a lot of memory. See Issue', 'https://github.com/astropy/astropy/pull/4366 for further detail.', '', '.. rubric:: Examples', '', '', '>>> convolve_fft([1, 0, 3], [1, 1, 1])', 'array([ 1., 4., 3.])', '', '>>> convolve_fft([1, np.nan, 3], [1, 1, 1])', 'array([ 1., 4., 3.])', '', '>>> convolve_fft([1, 0, 3], [0, 1, 0])', 'array([ 1., 0., 3.])', '', '>>> convolve_fft([1, 2, 3], [1])', 'array([ 1., 2., 3.])', '', ">>> convolve_fft([1, np.nan, 3], [0, 1, 0], nan_treatment='interpolate')", '...', 'array([ 1., 0., 3.])', '', ">>> convolve_fft([1, np.nan, 3], [0, 1, 0], nan_treatment='interpolate',", '... min_wt=1e-8)', 'array([ 1., nan, 3.])', '', ">>> convolve_fft([1, np.nan, 3], [1, 1, 1], nan_treatment='interpolate')", 'array([ 1., 4., 3.])', '', ">>> convolve_fft([1, np.nan, 3], [1, 1, 1], nan_treatment='interpolate',", '... normalize_kernel=True)', 'array([ 1., 2., 3.])', '', '>>> import scipy.fftpack # optional - requires scipy', ">>> convolve_fft([1, np.nan, 3], [1, 1, 1], nan_treatment='interpolate',", '... normalize_kernel=True,', '... fftn=scipy.fftpack.fft, ifftn=scipy.fftpack.ifft)', 'array([ 1., 2., 3.])']:33: WARNING: py:obj reference target not found: numpy.ndarray ["convolve_fft(array, kernel, boundary='fill', fill_value=0.0, nan_treatment='interpolate', normalize_kernel=True, normalization_zero_tol=1e-08, preserve_nan=False, mask=None, crop=True, return_fft=False, fft_pad=None, psf_pad=None, quiet=False, min_wt=0.0, allow_huge=False, fftn=, ifftn=, complex_dtype=)", ':module: astropy.convolution', '', '', '', 'Convolve an ndarray with an nd-kernel. Returns a convolved image with', '``shape = array.shape``. Assumes kernel is centered.', '', '`convolve_fft` is very similar to `convolve` in that it replaces ``NaN``', 'values in the original image with interpolated values using the kernel as', 'an interpolation function. However, it also includes many additional', 'options specific to the implementation.', '', '`convolve_fft` differs from `scipy.signal.fftconvolve` in a few ways:', '', '* It can treat ``NaN`` values as zeros or interpolate over them.', '* ``inf`` values are treated as ``NaN``', '* (optionally) It pads to the nearest 2^n size to improve FFT speed.', "* Its only valid ``mode`` is 'same' (i.e., the same shape array is returned)", '* It lets you use your own fft, e.g.,', ' `pyFFTW `_ or', ' `pyFFTW3 `_ , which can lead to', ' performance improvements, depending on your system configuration. pyFFTW3', ' is threaded, and therefore may yield significant performance benefits on', ' multi-core machines at the cost of greater memory requirements. Specify', ' the ``fftn`` and ``ifftn`` keywords to override the default, which is', ' `numpy.fft.fft` and `numpy.fft.ifft`.', '', ':Parameters:', '', ' **array** : `numpy.ndarray`', '', ' Array to be convolved with ``kernel``. It can be of any', ' dimensionality, though only 1, 2, and 3d arrays have been tested.', '', ' **kernel** : `numpy.ndarray` or `astropy.convolution.Kernel`', '', ' The convolution kernel. The number of dimensions should match those', ' for the array. The dimensions *do not* have to be odd in all directions,', ' unlike in the non-fft `convolve` function. The kernel will be', ' normalized if ``normalize_kernel`` is set. It is assumed to be centered', ' (i.e., shifts may result if your kernel is asymmetric)', '', " **boundary** : {'fill', 'wrap'}, optional", '', ' A flag indicating how to handle boundaries:', ' ', " * 'fill': set values outside the array boundary to fill_value", ' (default)', " * 'wrap': periodic boundary", ' ', " The `None` and 'extend' parameters are not supported for FFT-based", ' convolution', '', ' **fill_value** : float, optional', '', " The value to use outside the array when using boundary='fill'", '', " **nan_treatment** : 'interpolate', 'fill'", '', ' ``interpolate`` will result in renormalization of the kernel at each', ' position ignoring (pixels that are NaN in the image) in both the image', ' and the kernel. ``fill`` will replace the NaN pixels with a fixed', ' numerical value (default zero, see ``fill_value``) prior to', ' convolution. Note that if the kernel has a sum equal to zero, NaN', ' interpolation is not possible and will raise an exception.', '', ' **normalize_kernel** : function or boolean, optional', '', ' If specified, this is the function to divide kernel by to normalize it.', ' e.g., ``normalize_kernel=np.sum`` means that kernel will be modified to be:', ' ``kernel = kernel / np.sum(kernel)``. If True, defaults to', ' ``normalize_kernel = np.sum``.', '', ' **normalization_zero_tol: float, optional**', '', ' The absolute tolerance on whether the kernel is different than zero.', ' If the kernel sums to zero to within this precision, it cannot be', ' normalized. Default is "1e-8".', '', ' **preserve_nan** : bool', '', ' After performing convolution, should pixels that were originally NaN', ' again become NaN?', '', ' **mask** : `None` or `numpy.ndarray`', '', ' A "mask" array. Shape must match ``array``, and anything that is masked', ' (i.e., not 0/`False`) will be set to NaN for the convolution. If', ' `None`, no masking will be performed unless ``array`` is a masked array.', ' If ``mask`` is not `None` *and* ``array`` is a masked array, a pixel is', ' masked of it is masked in either ``mask`` *or* ``array.mask``.', '', ':Returns:', '', ' **default** : ndarray', '', ' ``array`` convolved with ``kernel``. If ``return_fft`` is set, returns', ' ``fft(array) * fft(kernel)``. If crop is not set, returns the', ' image, but with the fft-padded size instead of the input size', '', ':Other Parameters:', '', ' **min_wt** : float, optional', '', ' If ignoring ``NaN`` / zeros, force all grid points with a weight less than', ' this value to ``NaN`` (the weight of a grid point with *no* ignored', ' neighbors is 1.0).', ' If ``min_wt`` is zero, then all zero-weight points will be set to zero', ' instead of ``NaN`` (which they would be otherwise, because 1/0 = nan).', ' See the examples below', '', ' **fft_pad** : bool, optional', '', ' Default on. Zero-pad image to the nearest 2^n. With', " ``boundary='wrap'``, this will be disabled.", '', ' **psf_pad** : bool, optional', '', ' Zero-pad image to be at least the sum of the image sizes to avoid', ' edge-wrapping when smoothing. This is enabled by default with', " ``boundary='fill'``, but it can be overridden with a boolean option.", " ``boundary='wrap'`` and ``psf_pad=True`` are not compatible.", '', ' **crop** : bool, optional', '', ' Default on. Return an image of the size of the larger of the input', ' image and the kernel.', ' If the image and kernel are asymmetric in opposite directions, will', ' return the largest image in both directions.', ' For example, if an input image has shape [100,3] but a kernel with shape', ' [6,6] is used, the output will be [100,6].', '', ' **return_fft** : bool, optional', '', ' Return the ``fft(image)*fft(kernel)`` instead of the convolution (which is', ' ``ifft(fft(image)*fft(kernel))``). Useful for making PSDs.', '', ' **fftn, ifftn** : functions, optional', '', ' The fft and inverse fft functions. Can be overridden to use your own', " ffts, e.g. an fftw3 wrapper or scipy's fftn,", ' ``fft=scipy.fftpack.fftn``', '', ' **complex_dtype** : numpy.complex, optional', '', ' Which complex dtype to use. `numpy` has a range of options, from 64 to', ' 256.', '', ' **quiet** : bool, optional', '', ' Silence warning message about NaN interpolation', '', ' **allow_huge** : bool, optional', '', ' Allow huge arrays in the FFT? If False, will raise an exception if the', ' array or kernel size is >1 GB', '', ':Raises:', '', ' **ValueError:**', '', ' If the array is bigger than 1 GB after padding, will raise this exception', ' unless ``allow_huge`` is True', '', '.. seealso::', '', ' ', ' :obj:`convolve`', ' Convolve is a non-fft version of this code. It is more memory efficient and for small kernels can be faster.', ' ', '.. rubric:: Notes', '', '', 'With ``psf_pad=True`` and a large PSF, the resulting data can become', 'very large and consume a lot of memory. See Issue', 'https://github.com/astropy/astropy/pull/4366 for further detail.', '', '.. rubric:: Examples', '', '', '>>> convolve_fft([1, 0, 3], [1, 1, 1])', 'array([ 1., 4., 3.])', '', '>>> convolve_fft([1, np.nan, 3], [1, 1, 1])', 'array([ 1., 4., 3.])', '', '>>> convolve_fft([1, 0, 3], [0, 1, 0])', 'array([ 1., 0., 3.])', '', '>>> convolve_fft([1, 2, 3], [1])', 'array([ 1., 2., 3.])', '', ">>> convolve_fft([1, np.nan, 3], [0, 1, 0], nan_treatment='interpolate')", '...', 'array([ 1., 0., 3.])', '', ">>> convolve_fft([1, np.nan, 3], [0, 1, 0], nan_treatment='interpolate',", '... min_wt=1e-8)', 'array([ 1., nan, 3.])', '', ">>> convolve_fft([1, np.nan, 3], [1, 1, 1], nan_treatment='interpolate')", 'array([ 1., 4., 3.])', '', ">>> convolve_fft([1, np.nan, 3], [1, 1, 1], nan_treatment='interpolate',", '... normalize_kernel=True)', 'array([ 1., 2., 3.])', '', '>>> import scipy.fftpack # optional - requires scipy', ">>> convolve_fft([1, np.nan, 3], [1, 1, 1], nan_treatment='interpolate',", '... normalize_kernel=True,', '... fftn=scipy.fftpack.fft, ifftn=scipy.fftpack.ifft)', 'array([ 1., 2., 3.])']:49: WARNING: py:obj reference target not found: None ["convolve_fft(array, kernel, boundary='fill', fill_value=0.0, nan_treatment='interpolate', normalize_kernel=True, normalization_zero_tol=1e-08, preserve_nan=False, mask=None, crop=True, return_fft=False, fft_pad=None, psf_pad=None, quiet=False, min_wt=0.0, allow_huge=False, fftn=, ifftn=, complex_dtype=)", ':module: astropy.convolution', '', '', '', 'Convolve an ndarray with an nd-kernel. Returns a convolved image with', '``shape = array.shape``. Assumes kernel is centered.', '', '`convolve_fft` is very similar to `convolve` in that it replaces ``NaN``', 'values in the original image with interpolated values using the kernel as', 'an interpolation function. However, it also includes many additional', 'options specific to the implementation.', '', '`convolve_fft` differs from `scipy.signal.fftconvolve` in a few ways:', '', '* It can treat ``NaN`` values as zeros or interpolate over them.', '* ``inf`` values are treated as ``NaN``', '* (optionally) It pads to the nearest 2^n size to improve FFT speed.', "* Its only valid ``mode`` is 'same' (i.e., the same shape array is returned)", '* It lets you use your own fft, e.g.,', ' `pyFFTW `_ or', ' `pyFFTW3 `_ , which can lead to', ' performance improvements, depending on your system configuration. pyFFTW3', ' is threaded, and therefore may yield significant performance benefits on', ' multi-core machines at the cost of greater memory requirements. Specify', ' the ``fftn`` and ``ifftn`` keywords to override the default, which is', ' `numpy.fft.fft` and `numpy.fft.ifft`.', '', ':Parameters:', '', ' **array** : `numpy.ndarray`', '', ' Array to be convolved with ``kernel``. It can be of any', ' dimensionality, though only 1, 2, and 3d arrays have been tested.', '', ' **kernel** : `numpy.ndarray` or `astropy.convolution.Kernel`', '', ' The convolution kernel. The number of dimensions should match those', ' for the array. The dimensions *do not* have to be odd in all directions,', ' unlike in the non-fft `convolve` function. The kernel will be', ' normalized if ``normalize_kernel`` is set. It is assumed to be centered', ' (i.e., shifts may result if your kernel is asymmetric)', '', " **boundary** : {'fill', 'wrap'}, optional", '', ' A flag indicating how to handle boundaries:', ' ', " * 'fill': set values outside the array boundary to fill_value", ' (default)', " * 'wrap': periodic boundary", ' ', " The `None` and 'extend' parameters are not supported for FFT-based", ' convolution', '', ' **fill_value** : float, optional', '', " The value to use outside the array when using boundary='fill'", '', " **nan_treatment** : 'interpolate', 'fill'", '', ' ``interpolate`` will result in renormalization of the kernel at each', ' position ignoring (pixels that are NaN in the image) in both the image', ' and the kernel. ``fill`` will replace the NaN pixels with a fixed', ' numerical value (default zero, see ``fill_value``) prior to', ' convolution. Note that if the kernel has a sum equal to zero, NaN', ' interpolation is not possible and will raise an exception.', '', ' **normalize_kernel** : function or boolean, optional', '', ' If specified, this is the function to divide kernel by to normalize it.', ' e.g., ``normalize_kernel=np.sum`` means that kernel will be modified to be:', ' ``kernel = kernel / np.sum(kernel)``. If True, defaults to', ' ``normalize_kernel = np.sum``.', '', ' **normalization_zero_tol: float, optional**', '', ' The absolute tolerance on whether the kernel is different than zero.', ' If the kernel sums to zero to within this precision, it cannot be', ' normalized. Default is "1e-8".', '', ' **preserve_nan** : bool', '', ' After performing convolution, should pixels that were originally NaN', ' again become NaN?', '', ' **mask** : `None` or `numpy.ndarray`', '', ' A "mask" array. Shape must match ``array``, and anything that is masked', ' (i.e., not 0/`False`) will be set to NaN for the convolution. If', ' `None`, no masking will be performed unless ``array`` is a masked array.', ' If ``mask`` is not `None` *and* ``array`` is a masked array, a pixel is', ' masked of it is masked in either ``mask`` *or* ``array.mask``.', '', ':Returns:', '', ' **default** : ndarray', '', ' ``array`` convolved with ``kernel``. If ``return_fft`` is set, returns', ' ``fft(array) * fft(kernel)``. If crop is not set, returns the', ' image, but with the fft-padded size instead of the input size', '', ':Other Parameters:', '', ' **min_wt** : float, optional', '', ' If ignoring ``NaN`` / zeros, force all grid points with a weight less than', ' this value to ``NaN`` (the weight of a grid point with *no* ignored', ' neighbors is 1.0).', ' If ``min_wt`` is zero, then all zero-weight points will be set to zero', ' instead of ``NaN`` (which they would be otherwise, because 1/0 = nan).', ' See the examples below', '', ' **fft_pad** : bool, optional', '', ' Default on. Zero-pad image to the nearest 2^n. With', " ``boundary='wrap'``, this will be disabled.", '', ' **psf_pad** : bool, optional', '', ' Zero-pad image to be at least the sum of the image sizes to avoid', ' edge-wrapping when smoothing. This is enabled by default with', " ``boundary='fill'``, but it can be overridden with a boolean option.", " ``boundary='wrap'`` and ``psf_pad=True`` are not compatible.", '', ' **crop** : bool, optional', '', ' Default on. Return an image of the size of the larger of the input', ' image and the kernel.', ' If the image and kernel are asymmetric in opposite directions, will', ' return the largest image in both directions.', ' For example, if an input image has shape [100,3] but a kernel with shape', ' [6,6] is used, the output will be [100,6].', '', ' **return_fft** : bool, optional', '', ' Return the ``fft(image)*fft(kernel)`` instead of the convolution (which is', ' ``ifft(fft(image)*fft(kernel))``). Useful for making PSDs.', '', ' **fftn, ifftn** : functions, optional', '', ' The fft and inverse fft functions. Can be overridden to use your own', " ffts, e.g. an fftw3 wrapper or scipy's fftn,", ' ``fft=scipy.fftpack.fftn``', '', ' **complex_dtype** : numpy.complex, optional', '', ' Which complex dtype to use. `numpy` has a range of options, from 64 to', ' 256.', '', ' **quiet** : bool, optional', '', ' Silence warning message about NaN interpolation', '', ' **allow_huge** : bool, optional', '', ' Allow huge arrays in the FFT? If False, will raise an exception if the', ' array or kernel size is >1 GB', '', ':Raises:', '', ' **ValueError:**', '', ' If the array is bigger than 1 GB after padding, will raise this exception', ' unless ``allow_huge`` is True', '', '.. seealso::', '', ' ', ' :obj:`convolve`', ' Convolve is a non-fft version of this code. It is more memory efficient and for small kernels can be faster.', ' ', '.. rubric:: Notes', '', '', 'With ``psf_pad=True`` and a large PSF, the resulting data can become', 'very large and consume a lot of memory. See Issue', 'https://github.com/astropy/astropy/pull/4366 for further detail.', '', '.. rubric:: Examples', '', '', '>>> convolve_fft([1, 0, 3], [1, 1, 1])', 'array([ 1., 4., 3.])', '', '>>> convolve_fft([1, np.nan, 3], [1, 1, 1])', 'array([ 1., 4., 3.])', '', '>>> convolve_fft([1, 0, 3], [0, 1, 0])', 'array([ 1., 0., 3.])', '', '>>> convolve_fft([1, 2, 3], [1])', 'array([ 1., 2., 3.])', '', ">>> convolve_fft([1, np.nan, 3], [0, 1, 0], nan_treatment='interpolate')", '...', 'array([ 1., 0., 3.])', '', ">>> convolve_fft([1, np.nan, 3], [0, 1, 0], nan_treatment='interpolate',", '... min_wt=1e-8)', 'array([ 1., nan, 3.])', '', ">>> convolve_fft([1, np.nan, 3], [1, 1, 1], nan_treatment='interpolate')", 'array([ 1., 4., 3.])', '', ">>> convolve_fft([1, np.nan, 3], [1, 1, 1], nan_treatment='interpolate',", '... normalize_kernel=True)', 'array([ 1., 2., 3.])', '', '>>> import scipy.fftpack # optional - requires scipy', ">>> convolve_fft([1, np.nan, 3], [1, 1, 1], nan_treatment='interpolate',", '... normalize_kernel=True,', '... fftn=scipy.fftpack.fft, ifftn=scipy.fftpack.ifft)', 'array([ 1., 2., 3.])']:83: WARNING: py:obj reference target not found: None ["convolve_fft(array, kernel, boundary='fill', fill_value=0.0, nan_treatment='interpolate', normalize_kernel=True, normalization_zero_tol=1e-08, preserve_nan=False, mask=None, crop=True, return_fft=False, fft_pad=None, psf_pad=None, quiet=False, min_wt=0.0, allow_huge=False, fftn=, ifftn=, complex_dtype=)", ':module: astropy.convolution', '', '', '', 'Convolve an ndarray with an nd-kernel. Returns a convolved image with', '``shape = array.shape``. Assumes kernel is centered.', '', '`convolve_fft` is very similar to `convolve` in that it replaces ``NaN``', 'values in the original image with interpolated values using the kernel as', 'an interpolation function. However, it also includes many additional', 'options specific to the implementation.', '', '`convolve_fft` differs from `scipy.signal.fftconvolve` in a few ways:', '', '* It can treat ``NaN`` values as zeros or interpolate over them.', '* ``inf`` values are treated as ``NaN``', '* (optionally) It pads to the nearest 2^n size to improve FFT speed.', "* Its only valid ``mode`` is 'same' (i.e., the same shape array is returned)", '* It lets you use your own fft, e.g.,', ' `pyFFTW `_ or', ' `pyFFTW3 `_ , which can lead to', ' performance improvements, depending on your system configuration. pyFFTW3', ' is threaded, and therefore may yield significant performance benefits on', ' multi-core machines at the cost of greater memory requirements. Specify', ' the ``fftn`` and ``ifftn`` keywords to override the default, which is', ' `numpy.fft.fft` and `numpy.fft.ifft`.', '', ':Parameters:', '', ' **array** : `numpy.ndarray`', '', ' Array to be convolved with ``kernel``. It can be of any', ' dimensionality, though only 1, 2, and 3d arrays have been tested.', '', ' **kernel** : `numpy.ndarray` or `astropy.convolution.Kernel`', '', ' The convolution kernel. The number of dimensions should match those', ' for the array. The dimensions *do not* have to be odd in all directions,', ' unlike in the non-fft `convolve` function. The kernel will be', ' normalized if ``normalize_kernel`` is set. It is assumed to be centered', ' (i.e., shifts may result if your kernel is asymmetric)', '', " **boundary** : {'fill', 'wrap'}, optional", '', ' A flag indicating how to handle boundaries:', ' ', " * 'fill': set values outside the array boundary to fill_value", ' (default)', " * 'wrap': periodic boundary", ' ', " The `None` and 'extend' parameters are not supported for FFT-based", ' convolution', '', ' **fill_value** : float, optional', '', " The value to use outside the array when using boundary='fill'", '', " **nan_treatment** : 'interpolate', 'fill'", '', ' ``interpolate`` will result in renormalization of the kernel at each', ' position ignoring (pixels that are NaN in the image) in both the image', ' and the kernel. ``fill`` will replace the NaN pixels with a fixed', ' numerical value (default zero, see ``fill_value``) prior to', ' convolution. Note that if the kernel has a sum equal to zero, NaN', ' interpolation is not possible and will raise an exception.', '', ' **normalize_kernel** : function or boolean, optional', '', ' If specified, this is the function to divide kernel by to normalize it.', ' e.g., ``normalize_kernel=np.sum`` means that kernel will be modified to be:', ' ``kernel = kernel / np.sum(kernel)``. If True, defaults to', ' ``normalize_kernel = np.sum``.', '', ' **normalization_zero_tol: float, optional**', '', ' The absolute tolerance on whether the kernel is different than zero.', ' If the kernel sums to zero to within this precision, it cannot be', ' normalized. Default is "1e-8".', '', ' **preserve_nan** : bool', '', ' After performing convolution, should pixels that were originally NaN', ' again become NaN?', '', ' **mask** : `None` or `numpy.ndarray`', '', ' A "mask" array. Shape must match ``array``, and anything that is masked', ' (i.e., not 0/`False`) will be set to NaN for the convolution. If', ' `None`, no masking will be performed unless ``array`` is a masked array.', ' If ``mask`` is not `None` *and* ``array`` is a masked array, a pixel is', ' masked of it is masked in either ``mask`` *or* ``array.mask``.', '', ':Returns:', '', ' **default** : ndarray', '', ' ``array`` convolved with ``kernel``. If ``return_fft`` is set, returns', ' ``fft(array) * fft(kernel)``. If crop is not set, returns the', ' image, but with the fft-padded size instead of the input size', '', ':Other Parameters:', '', ' **min_wt** : float, optional', '', ' If ignoring ``NaN`` / zeros, force all grid points with a weight less than', ' this value to ``NaN`` (the weight of a grid point with *no* ignored', ' neighbors is 1.0).', ' If ``min_wt`` is zero, then all zero-weight points will be set to zero', ' instead of ``NaN`` (which they would be otherwise, because 1/0 = nan).', ' See the examples below', '', ' **fft_pad** : bool, optional', '', ' Default on. Zero-pad image to the nearest 2^n. With', " ``boundary='wrap'``, this will be disabled.", '', ' **psf_pad** : bool, optional', '', ' Zero-pad image to be at least the sum of the image sizes to avoid', ' edge-wrapping when smoothing. This is enabled by default with', " ``boundary='fill'``, but it can be overridden with a boolean option.", " ``boundary='wrap'`` and ``psf_pad=True`` are not compatible.", '', ' **crop** : bool, optional', '', ' Default on. Return an image of the size of the larger of the input', ' image and the kernel.', ' If the image and kernel are asymmetric in opposite directions, will', ' return the largest image in both directions.', ' For example, if an input image has shape [100,3] but a kernel with shape', ' [6,6] is used, the output will be [100,6].', '', ' **return_fft** : bool, optional', '', ' Return the ``fft(image)*fft(kernel)`` instead of the convolution (which is', ' ``ifft(fft(image)*fft(kernel))``). Useful for making PSDs.', '', ' **fftn, ifftn** : functions, optional', '', ' The fft and inverse fft functions. Can be overridden to use your own', " ffts, e.g. an fftw3 wrapper or scipy's fftn,", ' ``fft=scipy.fftpack.fftn``', '', ' **complex_dtype** : numpy.complex, optional', '', ' Which complex dtype to use. `numpy` has a range of options, from 64 to', ' 256.', '', ' **quiet** : bool, optional', '', ' Silence warning message about NaN interpolation', '', ' **allow_huge** : bool, optional', '', ' Allow huge arrays in the FFT? If False, will raise an exception if the', ' array or kernel size is >1 GB', '', ':Raises:', '', ' **ValueError:**', '', ' If the array is bigger than 1 GB after padding, will raise this exception', ' unless ``allow_huge`` is True', '', '.. seealso::', '', ' ', ' :obj:`convolve`', ' Convolve is a non-fft version of this code. It is more memory efficient and for small kernels can be faster.', ' ', '.. rubric:: Notes', '', '', 'With ``psf_pad=True`` and a large PSF, the resulting data can become', 'very large and consume a lot of memory. See Issue', 'https://github.com/astropy/astropy/pull/4366 for further detail.', '', '.. rubric:: Examples', '', '', '>>> convolve_fft([1, 0, 3], [1, 1, 1])', 'array([ 1., 4., 3.])', '', '>>> convolve_fft([1, np.nan, 3], [1, 1, 1])', 'array([ 1., 4., 3.])', '', '>>> convolve_fft([1, 0, 3], [0, 1, 0])', 'array([ 1., 0., 3.])', '', '>>> convolve_fft([1, 2, 3], [1])', 'array([ 1., 2., 3.])', '', ">>> convolve_fft([1, np.nan, 3], [0, 1, 0], nan_treatment='interpolate')", '...', 'array([ 1., 0., 3.])', '', ">>> convolve_fft([1, np.nan, 3], [0, 1, 0], nan_treatment='interpolate',", '... min_wt=1e-8)', 'array([ 1., nan, 3.])', '', ">>> convolve_fft([1, np.nan, 3], [1, 1, 1], nan_treatment='interpolate')", 'array([ 1., 4., 3.])', '', ">>> convolve_fft([1, np.nan, 3], [1, 1, 1], nan_treatment='interpolate',", '... normalize_kernel=True)', 'array([ 1., 2., 3.])', '', '>>> import scipy.fftpack # optional - requires scipy', ">>> convolve_fft([1, np.nan, 3], [1, 1, 1], nan_treatment='interpolate',", '... normalize_kernel=True,', '... fftn=scipy.fftpack.fft, ifftn=scipy.fftpack.ifft)', 'array([ 1., 2., 3.])']:83: WARNING: py:obj reference target not found: numpy.ndarray ["convolve_fft(array, kernel, boundary='fill', fill_value=0.0, nan_treatment='interpolate', normalize_kernel=True, normalization_zero_tol=1e-08, preserve_nan=False, mask=None, crop=True, return_fft=False, fft_pad=None, psf_pad=None, quiet=False, min_wt=0.0, allow_huge=False, fftn=, ifftn=, complex_dtype=)", ':module: astropy.convolution', '', '', '', 'Convolve an ndarray with an nd-kernel. Returns a convolved image with', '``shape = array.shape``. Assumes kernel is centered.', '', '`convolve_fft` is very similar to `convolve` in that it replaces ``NaN``', 'values in the original image with interpolated values using the kernel as', 'an interpolation function. However, it also includes many additional', 'options specific to the implementation.', '', '`convolve_fft` differs from `scipy.signal.fftconvolve` in a few ways:', '', '* It can treat ``NaN`` values as zeros or interpolate over them.', '* ``inf`` values are treated as ``NaN``', '* (optionally) It pads to the nearest 2^n size to improve FFT speed.', "* Its only valid ``mode`` is 'same' (i.e., the same shape array is returned)", '* It lets you use your own fft, e.g.,', ' `pyFFTW `_ or', ' `pyFFTW3 `_ , which can lead to', ' performance improvements, depending on your system configuration. pyFFTW3', ' is threaded, and therefore may yield significant performance benefits on', ' multi-core machines at the cost of greater memory requirements. Specify', ' the ``fftn`` and ``ifftn`` keywords to override the default, which is', ' `numpy.fft.fft` and `numpy.fft.ifft`.', '', ':Parameters:', '', ' **array** : `numpy.ndarray`', '', ' Array to be convolved with ``kernel``. It can be of any', ' dimensionality, though only 1, 2, and 3d arrays have been tested.', '', ' **kernel** : `numpy.ndarray` or `astropy.convolution.Kernel`', '', ' The convolution kernel. The number of dimensions should match those', ' for the array. The dimensions *do not* have to be odd in all directions,', ' unlike in the non-fft `convolve` function. The kernel will be', ' normalized if ``normalize_kernel`` is set. It is assumed to be centered', ' (i.e., shifts may result if your kernel is asymmetric)', '', " **boundary** : {'fill', 'wrap'}, optional", '', ' A flag indicating how to handle boundaries:', ' ', " * 'fill': set values outside the array boundary to fill_value", ' (default)', " * 'wrap': periodic boundary", ' ', " The `None` and 'extend' parameters are not supported for FFT-based", ' convolution', '', ' **fill_value** : float, optional', '', " The value to use outside the array when using boundary='fill'", '', " **nan_treatment** : 'interpolate', 'fill'", '', ' ``interpolate`` will result in renormalization of the kernel at each', ' position ignoring (pixels that are NaN in the image) in both the image', ' and the kernel. ``fill`` will replace the NaN pixels with a fixed', ' numerical value (default zero, see ``fill_value``) prior to', ' convolution. Note that if the kernel has a sum equal to zero, NaN', ' interpolation is not possible and will raise an exception.', '', ' **normalize_kernel** : function or boolean, optional', '', ' If specified, this is the function to divide kernel by to normalize it.', ' e.g., ``normalize_kernel=np.sum`` means that kernel will be modified to be:', ' ``kernel = kernel / np.sum(kernel)``. If True, defaults to', ' ``normalize_kernel = np.sum``.', '', ' **normalization_zero_tol: float, optional**', '', ' The absolute tolerance on whether the kernel is different than zero.', ' If the kernel sums to zero to within this precision, it cannot be', ' normalized. Default is "1e-8".', '', ' **preserve_nan** : bool', '', ' After performing convolution, should pixels that were originally NaN', ' again become NaN?', '', ' **mask** : `None` or `numpy.ndarray`', '', ' A "mask" array. Shape must match ``array``, and anything that is masked', ' (i.e., not 0/`False`) will be set to NaN for the convolution. If', ' `None`, no masking will be performed unless ``array`` is a masked array.', ' If ``mask`` is not `None` *and* ``array`` is a masked array, a pixel is', ' masked of it is masked in either ``mask`` *or* ``array.mask``.', '', ':Returns:', '', ' **default** : ndarray', '', ' ``array`` convolved with ``kernel``. If ``return_fft`` is set, returns', ' ``fft(array) * fft(kernel)``. If crop is not set, returns the', ' image, but with the fft-padded size instead of the input size', '', ':Other Parameters:', '', ' **min_wt** : float, optional', '', ' If ignoring ``NaN`` / zeros, force all grid points with a weight less than', ' this value to ``NaN`` (the weight of a grid point with *no* ignored', ' neighbors is 1.0).', ' If ``min_wt`` is zero, then all zero-weight points will be set to zero', ' instead of ``NaN`` (which they would be otherwise, because 1/0 = nan).', ' See the examples below', '', ' **fft_pad** : bool, optional', '', ' Default on. Zero-pad image to the nearest 2^n. With', " ``boundary='wrap'``, this will be disabled.", '', ' **psf_pad** : bool, optional', '', ' Zero-pad image to be at least the sum of the image sizes to avoid', ' edge-wrapping when smoothing. This is enabled by default with', " ``boundary='fill'``, but it can be overridden with a boolean option.", " ``boundary='wrap'`` and ``psf_pad=True`` are not compatible.", '', ' **crop** : bool, optional', '', ' Default on. Return an image of the size of the larger of the input', ' image and the kernel.', ' If the image and kernel are asymmetric in opposite directions, will', ' return the largest image in both directions.', ' For example, if an input image has shape [100,3] but a kernel with shape', ' [6,6] is used, the output will be [100,6].', '', ' **return_fft** : bool, optional', '', ' Return the ``fft(image)*fft(kernel)`` instead of the convolution (which is', ' ``ifft(fft(image)*fft(kernel))``). Useful for making PSDs.', '', ' **fftn, ifftn** : functions, optional', '', ' The fft and inverse fft functions. Can be overridden to use your own', " ffts, e.g. an fftw3 wrapper or scipy's fftn,", ' ``fft=scipy.fftpack.fftn``', '', ' **complex_dtype** : numpy.complex, optional', '', ' Which complex dtype to use. `numpy` has a range of options, from 64 to', ' 256.', '', ' **quiet** : bool, optional', '', ' Silence warning message about NaN interpolation', '', ' **allow_huge** : bool, optional', '', ' Allow huge arrays in the FFT? If False, will raise an exception if the', ' array or kernel size is >1 GB', '', ':Raises:', '', ' **ValueError:**', '', ' If the array is bigger than 1 GB after padding, will raise this exception', ' unless ``allow_huge`` is True', '', '.. seealso::', '', ' ', ' :obj:`convolve`', ' Convolve is a non-fft version of this code. It is more memory efficient and for small kernels can be faster.', ' ', '.. rubric:: Notes', '', '', 'With ``psf_pad=True`` and a large PSF, the resulting data can become', 'very large and consume a lot of memory. See Issue', 'https://github.com/astropy/astropy/pull/4366 for further detail.', '', '.. rubric:: Examples', '', '', '>>> convolve_fft([1, 0, 3], [1, 1, 1])', 'array([ 1., 4., 3.])', '', '>>> convolve_fft([1, np.nan, 3], [1, 1, 1])', 'array([ 1., 4., 3.])', '', '>>> convolve_fft([1, 0, 3], [0, 1, 0])', 'array([ 1., 0., 3.])', '', '>>> convolve_fft([1, 2, 3], [1])', 'array([ 1., 2., 3.])', '', ">>> convolve_fft([1, np.nan, 3], [0, 1, 0], nan_treatment='interpolate')", '...', 'array([ 1., 0., 3.])', '', ">>> convolve_fft([1, np.nan, 3], [0, 1, 0], nan_treatment='interpolate',", '... min_wt=1e-8)', 'array([ 1., nan, 3.])', '', ">>> convolve_fft([1, np.nan, 3], [1, 1, 1], nan_treatment='interpolate')", 'array([ 1., 4., 3.])', '', ">>> convolve_fft([1, np.nan, 3], [1, 1, 1], nan_treatment='interpolate',", '... normalize_kernel=True)', 'array([ 1., 2., 3.])', '', '>>> import scipy.fftpack # optional - requires scipy', ">>> convolve_fft([1, np.nan, 3], [1, 1, 1], nan_treatment='interpolate',", '... normalize_kernel=True,', '... fftn=scipy.fftpack.fft, ifftn=scipy.fftpack.ifft)', 'array([ 1., 2., 3.])']:85: WARNING: py:obj reference target not found: False ["convolve_fft(array, kernel, boundary='fill', fill_value=0.0, nan_treatment='interpolate', normalize_kernel=True, normalization_zero_tol=1e-08, preserve_nan=False, mask=None, crop=True, return_fft=False, fft_pad=None, psf_pad=None, quiet=False, min_wt=0.0, allow_huge=False, fftn=, ifftn=, complex_dtype=)", ':module: astropy.convolution', '', '', '', 'Convolve an ndarray with an nd-kernel. Returns a convolved image with', '``shape = array.shape``. Assumes kernel is centered.', '', '`convolve_fft` is very similar to `convolve` in that it replaces ``NaN``', 'values in the original image with interpolated values using the kernel as', 'an interpolation function. However, it also includes many additional', 'options specific to the implementation.', '', '`convolve_fft` differs from `scipy.signal.fftconvolve` in a few ways:', '', '* It can treat ``NaN`` values as zeros or interpolate over them.', '* ``inf`` values are treated as ``NaN``', '* (optionally) It pads to the nearest 2^n size to improve FFT speed.', "* Its only valid ``mode`` is 'same' (i.e., the same shape array is returned)", '* It lets you use your own fft, e.g.,', ' `pyFFTW `_ or', ' `pyFFTW3 `_ , which can lead to', ' performance improvements, depending on your system configuration. pyFFTW3', ' is threaded, and therefore may yield significant performance benefits on', ' multi-core machines at the cost of greater memory requirements. Specify', ' the ``fftn`` and ``ifftn`` keywords to override the default, which is', ' `numpy.fft.fft` and `numpy.fft.ifft`.', '', ':Parameters:', '', ' **array** : `numpy.ndarray`', '', ' Array to be convolved with ``kernel``. It can be of any', ' dimensionality, though only 1, 2, and 3d arrays have been tested.', '', ' **kernel** : `numpy.ndarray` or `astropy.convolution.Kernel`', '', ' The convolution kernel. The number of dimensions should match those', ' for the array. The dimensions *do not* have to be odd in all directions,', ' unlike in the non-fft `convolve` function. The kernel will be', ' normalized if ``normalize_kernel`` is set. It is assumed to be centered', ' (i.e., shifts may result if your kernel is asymmetric)', '', " **boundary** : {'fill', 'wrap'}, optional", '', ' A flag indicating how to handle boundaries:', ' ', " * 'fill': set values outside the array boundary to fill_value", ' (default)', " * 'wrap': periodic boundary", ' ', " The `None` and 'extend' parameters are not supported for FFT-based", ' convolution', '', ' **fill_value** : float, optional', '', " The value to use outside the array when using boundary='fill'", '', " **nan_treatment** : 'interpolate', 'fill'", '', ' ``interpolate`` will result in renormalization of the kernel at each', ' position ignoring (pixels that are NaN in the image) in both the image', ' and the kernel. ``fill`` will replace the NaN pixels with a fixed', ' numerical value (default zero, see ``fill_value``) prior to', ' convolution. Note that if the kernel has a sum equal to zero, NaN', ' interpolation is not possible and will raise an exception.', '', ' **normalize_kernel** : function or boolean, optional', '', ' If specified, this is the function to divide kernel by to normalize it.', ' e.g., ``normalize_kernel=np.sum`` means that kernel will be modified to be:', ' ``kernel = kernel / np.sum(kernel)``. If True, defaults to', ' ``normalize_kernel = np.sum``.', '', ' **normalization_zero_tol: float, optional**', '', ' The absolute tolerance on whether the kernel is different than zero.', ' If the kernel sums to zero to within this precision, it cannot be', ' normalized. Default is "1e-8".', '', ' **preserve_nan** : bool', '', ' After performing convolution, should pixels that were originally NaN', ' again become NaN?', '', ' **mask** : `None` or `numpy.ndarray`', '', ' A "mask" array. Shape must match ``array``, and anything that is masked', ' (i.e., not 0/`False`) will be set to NaN for the convolution. If', ' `None`, no masking will be performed unless ``array`` is a masked array.', ' If ``mask`` is not `None` *and* ``array`` is a masked array, a pixel is', ' masked of it is masked in either ``mask`` *or* ``array.mask``.', '', ':Returns:', '', ' **default** : ndarray', '', ' ``array`` convolved with ``kernel``. If ``return_fft`` is set, returns', ' ``fft(array) * fft(kernel)``. If crop is not set, returns the', ' image, but with the fft-padded size instead of the input size', '', ':Other Parameters:', '', ' **min_wt** : float, optional', '', ' If ignoring ``NaN`` / zeros, force all grid points with a weight less than', ' this value to ``NaN`` (the weight of a grid point with *no* ignored', ' neighbors is 1.0).', ' If ``min_wt`` is zero, then all zero-weight points will be set to zero', ' instead of ``NaN`` (which they would be otherwise, because 1/0 = nan).', ' See the examples below', '', ' **fft_pad** : bool, optional', '', ' Default on. Zero-pad image to the nearest 2^n. With', " ``boundary='wrap'``, this will be disabled.", '', ' **psf_pad** : bool, optional', '', ' Zero-pad image to be at least the sum of the image sizes to avoid', ' edge-wrapping when smoothing. This is enabled by default with', " ``boundary='fill'``, but it can be overridden with a boolean option.", " ``boundary='wrap'`` and ``psf_pad=True`` are not compatible.", '', ' **crop** : bool, optional', '', ' Default on. Return an image of the size of the larger of the input', ' image and the kernel.', ' If the image and kernel are asymmetric in opposite directions, will', ' return the largest image in both directions.', ' For example, if an input image has shape [100,3] but a kernel with shape', ' [6,6] is used, the output will be [100,6].', '', ' **return_fft** : bool, optional', '', ' Return the ``fft(image)*fft(kernel)`` instead of the convolution (which is', ' ``ifft(fft(image)*fft(kernel))``). Useful for making PSDs.', '', ' **fftn, ifftn** : functions, optional', '', ' The fft and inverse fft functions. Can be overridden to use your own', " ffts, e.g. an fftw3 wrapper or scipy's fftn,", ' ``fft=scipy.fftpack.fftn``', '', ' **complex_dtype** : numpy.complex, optional', '', ' Which complex dtype to use. `numpy` has a range of options, from 64 to', ' 256.', '', ' **quiet** : bool, optional', '', ' Silence warning message about NaN interpolation', '', ' **allow_huge** : bool, optional', '', ' Allow huge arrays in the FFT? If False, will raise an exception if the', ' array or kernel size is >1 GB', '', ':Raises:', '', ' **ValueError:**', '', ' If the array is bigger than 1 GB after padding, will raise this exception', ' unless ``allow_huge`` is True', '', '.. seealso::', '', ' ', ' :obj:`convolve`', ' Convolve is a non-fft version of this code. It is more memory efficient and for small kernels can be faster.', ' ', '.. rubric:: Notes', '', '', 'With ``psf_pad=True`` and a large PSF, the resulting data can become', 'very large and consume a lot of memory. See Issue', 'https://github.com/astropy/astropy/pull/4366 for further detail.', '', '.. rubric:: Examples', '', '', '>>> convolve_fft([1, 0, 3], [1, 1, 1])', 'array([ 1., 4., 3.])', '', '>>> convolve_fft([1, np.nan, 3], [1, 1, 1])', 'array([ 1., 4., 3.])', '', '>>> convolve_fft([1, 0, 3], [0, 1, 0])', 'array([ 1., 0., 3.])', '', '>>> convolve_fft([1, 2, 3], [1])', 'array([ 1., 2., 3.])', '', ">>> convolve_fft([1, np.nan, 3], [0, 1, 0], nan_treatment='interpolate')", '...', 'array([ 1., 0., 3.])', '', ">>> convolve_fft([1, np.nan, 3], [0, 1, 0], nan_treatment='interpolate',", '... min_wt=1e-8)', 'array([ 1., nan, 3.])', '', ">>> convolve_fft([1, np.nan, 3], [1, 1, 1], nan_treatment='interpolate')", 'array([ 1., 4., 3.])', '', ">>> convolve_fft([1, np.nan, 3], [1, 1, 1], nan_treatment='interpolate',", '... normalize_kernel=True)', 'array([ 1., 2., 3.])', '', '>>> import scipy.fftpack # optional - requires scipy', ">>> convolve_fft([1, np.nan, 3], [1, 1, 1], nan_treatment='interpolate',", '... normalize_kernel=True,', '... fftn=scipy.fftpack.fft, ifftn=scipy.fftpack.ifft)', 'array([ 1., 2., 3.])']:85: WARNING: py:obj reference target not found: None ["convolve_fft(array, kernel, boundary='fill', fill_value=0.0, nan_treatment='interpolate', normalize_kernel=True, normalization_zero_tol=1e-08, preserve_nan=False, mask=None, crop=True, return_fft=False, fft_pad=None, psf_pad=None, quiet=False, min_wt=0.0, allow_huge=False, fftn=, ifftn=, complex_dtype=)", ':module: astropy.convolution', '', '', '', 'Convolve an ndarray with an nd-kernel. Returns a convolved image with', '``shape = array.shape``. Assumes kernel is centered.', '', '`convolve_fft` is very similar to `convolve` in that it replaces ``NaN``', 'values in the original image with interpolated values using the kernel as', 'an interpolation function. However, it also includes many additional', 'options specific to the implementation.', '', '`convolve_fft` differs from `scipy.signal.fftconvolve` in a few ways:', '', '* It can treat ``NaN`` values as zeros or interpolate over them.', '* ``inf`` values are treated as ``NaN``', '* (optionally) It pads to the nearest 2^n size to improve FFT speed.', "* Its only valid ``mode`` is 'same' (i.e., the same shape array is returned)", '* It lets you use your own fft, e.g.,', ' `pyFFTW `_ or', ' `pyFFTW3 `_ , which can lead to', ' performance improvements, depending on your system configuration. pyFFTW3', ' is threaded, and therefore may yield significant performance benefits on', ' multi-core machines at the cost of greater memory requirements. Specify', ' the ``fftn`` and ``ifftn`` keywords to override the default, which is', ' `numpy.fft.fft` and `numpy.fft.ifft`.', '', ':Parameters:', '', ' **array** : `numpy.ndarray`', '', ' Array to be convolved with ``kernel``. It can be of any', ' dimensionality, though only 1, 2, and 3d arrays have been tested.', '', ' **kernel** : `numpy.ndarray` or `astropy.convolution.Kernel`', '', ' The convolution kernel. The number of dimensions should match those', ' for the array. The dimensions *do not* have to be odd in all directions,', ' unlike in the non-fft `convolve` function. The kernel will be', ' normalized if ``normalize_kernel`` is set. It is assumed to be centered', ' (i.e., shifts may result if your kernel is asymmetric)', '', " **boundary** : {'fill', 'wrap'}, optional", '', ' A flag indicating how to handle boundaries:', ' ', " * 'fill': set values outside the array boundary to fill_value", ' (default)', " * 'wrap': periodic boundary", ' ', " The `None` and 'extend' parameters are not supported for FFT-based", ' convolution', '', ' **fill_value** : float, optional', '', " The value to use outside the array when using boundary='fill'", '', " **nan_treatment** : 'interpolate', 'fill'", '', ' ``interpolate`` will result in renormalization of the kernel at each', ' position ignoring (pixels that are NaN in the image) in both the image', ' and the kernel. ``fill`` will replace the NaN pixels with a fixed', ' numerical value (default zero, see ``fill_value``) prior to', ' convolution. Note that if the kernel has a sum equal to zero, NaN', ' interpolation is not possible and will raise an exception.', '', ' **normalize_kernel** : function or boolean, optional', '', ' If specified, this is the function to divide kernel by to normalize it.', ' e.g., ``normalize_kernel=np.sum`` means that kernel will be modified to be:', ' ``kernel = kernel / np.sum(kernel)``. If True, defaults to', ' ``normalize_kernel = np.sum``.', '', ' **normalization_zero_tol: float, optional**', '', ' The absolute tolerance on whether the kernel is different than zero.', ' If the kernel sums to zero to within this precision, it cannot be', ' normalized. Default is "1e-8".', '', ' **preserve_nan** : bool', '', ' After performing convolution, should pixels that were originally NaN', ' again become NaN?', '', ' **mask** : `None` or `numpy.ndarray`', '', ' A "mask" array. Shape must match ``array``, and anything that is masked', ' (i.e., not 0/`False`) will be set to NaN for the convolution. If', ' `None`, no masking will be performed unless ``array`` is a masked array.', ' If ``mask`` is not `None` *and* ``array`` is a masked array, a pixel is', ' masked of it is masked in either ``mask`` *or* ``array.mask``.', '', ':Returns:', '', ' **default** : ndarray', '', ' ``array`` convolved with ``kernel``. If ``return_fft`` is set, returns', ' ``fft(array) * fft(kernel)``. If crop is not set, returns the', ' image, but with the fft-padded size instead of the input size', '', ':Other Parameters:', '', ' **min_wt** : float, optional', '', ' If ignoring ``NaN`` / zeros, force all grid points with a weight less than', ' this value to ``NaN`` (the weight of a grid point with *no* ignored', ' neighbors is 1.0).', ' If ``min_wt`` is zero, then all zero-weight points will be set to zero', ' instead of ``NaN`` (which they would be otherwise, because 1/0 = nan).', ' See the examples below', '', ' **fft_pad** : bool, optional', '', ' Default on. Zero-pad image to the nearest 2^n. With', " ``boundary='wrap'``, this will be disabled.", '', ' **psf_pad** : bool, optional', '', ' Zero-pad image to be at least the sum of the image sizes to avoid', ' edge-wrapping when smoothing. This is enabled by default with', " ``boundary='fill'``, but it can be overridden with a boolean option.", " ``boundary='wrap'`` and ``psf_pad=True`` are not compatible.", '', ' **crop** : bool, optional', '', ' Default on. Return an image of the size of the larger of the input', ' image and the kernel.', ' If the image and kernel are asymmetric in opposite directions, will', ' return the largest image in both directions.', ' For example, if an input image has shape [100,3] but a kernel with shape', ' [6,6] is used, the output will be [100,6].', '', ' **return_fft** : bool, optional', '', ' Return the ``fft(image)*fft(kernel)`` instead of the convolution (which is', ' ``ifft(fft(image)*fft(kernel))``). Useful for making PSDs.', '', ' **fftn, ifftn** : functions, optional', '', ' The fft and inverse fft functions. Can be overridden to use your own', " ffts, e.g. an fftw3 wrapper or scipy's fftn,", ' ``fft=scipy.fftpack.fftn``', '', ' **complex_dtype** : numpy.complex, optional', '', ' Which complex dtype to use. `numpy` has a range of options, from 64 to', ' 256.', '', ' **quiet** : bool, optional', '', ' Silence warning message about NaN interpolation', '', ' **allow_huge** : bool, optional', '', ' Allow huge arrays in the FFT? If False, will raise an exception if the', ' array or kernel size is >1 GB', '', ':Raises:', '', ' **ValueError:**', '', ' If the array is bigger than 1 GB after padding, will raise this exception', ' unless ``allow_huge`` is True', '', '.. seealso::', '', ' ', ' :obj:`convolve`', ' Convolve is a non-fft version of this code. It is more memory efficient and for small kernels can be faster.', ' ', '.. rubric:: Notes', '', '', 'With ``psf_pad=True`` and a large PSF, the resulting data can become', 'very large and consume a lot of memory. See Issue', 'https://github.com/astropy/astropy/pull/4366 for further detail.', '', '.. rubric:: Examples', '', '', '>>> convolve_fft([1, 0, 3], [1, 1, 1])', 'array([ 1., 4., 3.])', '', '>>> convolve_fft([1, np.nan, 3], [1, 1, 1])', 'array([ 1., 4., 3.])', '', '>>> convolve_fft([1, 0, 3], [0, 1, 0])', 'array([ 1., 0., 3.])', '', '>>> convolve_fft([1, 2, 3], [1])', 'array([ 1., 2., 3.])', '', ">>> convolve_fft([1, np.nan, 3], [0, 1, 0], nan_treatment='interpolate')", '...', 'array([ 1., 0., 3.])', '', ">>> convolve_fft([1, np.nan, 3], [0, 1, 0], nan_treatment='interpolate',", '... min_wt=1e-8)', 'array([ 1., nan, 3.])', '', ">>> convolve_fft([1, np.nan, 3], [1, 1, 1], nan_treatment='interpolate')", 'array([ 1., 4., 3.])', '', ">>> convolve_fft([1, np.nan, 3], [1, 1, 1], nan_treatment='interpolate',", '... normalize_kernel=True)', 'array([ 1., 2., 3.])', '', '>>> import scipy.fftpack # optional - requires scipy', ">>> convolve_fft([1, np.nan, 3], [1, 1, 1], nan_treatment='interpolate',", '... normalize_kernel=True,', '... fftn=scipy.fftpack.fft, ifftn=scipy.fftpack.ifft)', 'array([ 1., 2., 3.])']:85: WARNING: py:obj reference target not found: None ["convolve_fft(array, kernel, boundary='fill', fill_value=0.0, nan_treatment='interpolate', normalize_kernel=True, normalization_zero_tol=1e-08, preserve_nan=False, mask=None, crop=True, return_fft=False, fft_pad=None, psf_pad=None, quiet=False, min_wt=0.0, allow_huge=False, fftn=, ifftn=, complex_dtype=)", ':module: astropy.convolution', '', '', '', 'Convolve an ndarray with an nd-kernel. Returns a convolved image with', '``shape = array.shape``. Assumes kernel is centered.', '', '`convolve_fft` is very similar to `convolve` in that it replaces ``NaN``', 'values in the original image with interpolated values using the kernel as', 'an interpolation function. However, it also includes many additional', 'options specific to the implementation.', '', '`convolve_fft` differs from `scipy.signal.fftconvolve` in a few ways:', '', '* It can treat ``NaN`` values as zeros or interpolate over them.', '* ``inf`` values are treated as ``NaN``', '* (optionally) It pads to the nearest 2^n size to improve FFT speed.', "* Its only valid ``mode`` is 'same' (i.e., the same shape array is returned)", '* It lets you use your own fft, e.g.,', ' `pyFFTW `_ or', ' `pyFFTW3 `_ , which can lead to', ' performance improvements, depending on your system configuration. pyFFTW3', ' is threaded, and therefore may yield significant performance benefits on', ' multi-core machines at the cost of greater memory requirements. Specify', ' the ``fftn`` and ``ifftn`` keywords to override the default, which is', ' `numpy.fft.fft` and `numpy.fft.ifft`.', '', ':Parameters:', '', ' **array** : `numpy.ndarray`', '', ' Array to be convolved with ``kernel``. It can be of any', ' dimensionality, though only 1, 2, and 3d arrays have been tested.', '', ' **kernel** : `numpy.ndarray` or `astropy.convolution.Kernel`', '', ' The convolution kernel. The number of dimensions should match those', ' for the array. The dimensions *do not* have to be odd in all directions,', ' unlike in the non-fft `convolve` function. The kernel will be', ' normalized if ``normalize_kernel`` is set. It is assumed to be centered', ' (i.e., shifts may result if your kernel is asymmetric)', '', " **boundary** : {'fill', 'wrap'}, optional", '', ' A flag indicating how to handle boundaries:', ' ', " * 'fill': set values outside the array boundary to fill_value", ' (default)', " * 'wrap': periodic boundary", ' ', " The `None` and 'extend' parameters are not supported for FFT-based", ' convolution', '', ' **fill_value** : float, optional', '', " The value to use outside the array when using boundary='fill'", '', " **nan_treatment** : 'interpolate', 'fill'", '', ' ``interpolate`` will result in renormalization of the kernel at each', ' position ignoring (pixels that are NaN in the image) in both the image', ' and the kernel. ``fill`` will replace the NaN pixels with a fixed', ' numerical value (default zero, see ``fill_value``) prior to', ' convolution. Note that if the kernel has a sum equal to zero, NaN', ' interpolation is not possible and will raise an exception.', '', ' **normalize_kernel** : function or boolean, optional', '', ' If specified, this is the function to divide kernel by to normalize it.', ' e.g., ``normalize_kernel=np.sum`` means that kernel will be modified to be:', ' ``kernel = kernel / np.sum(kernel)``. If True, defaults to', ' ``normalize_kernel = np.sum``.', '', ' **normalization_zero_tol: float, optional**', '', ' The absolute tolerance on whether the kernel is different than zero.', ' If the kernel sums to zero to within this precision, it cannot be', ' normalized. Default is "1e-8".', '', ' **preserve_nan** : bool', '', ' After performing convolution, should pixels that were originally NaN', ' again become NaN?', '', ' **mask** : `None` or `numpy.ndarray`', '', ' A "mask" array. Shape must match ``array``, and anything that is masked', ' (i.e., not 0/`False`) will be set to NaN for the convolution. If', ' `None`, no masking will be performed unless ``array`` is a masked array.', ' If ``mask`` is not `None` *and* ``array`` is a masked array, a pixel is', ' masked of it is masked in either ``mask`` *or* ``array.mask``.', '', ':Returns:', '', ' **default** : ndarray', '', ' ``array`` convolved with ``kernel``. If ``return_fft`` is set, returns', ' ``fft(array) * fft(kernel)``. If crop is not set, returns the', ' image, but with the fft-padded size instead of the input size', '', ':Other Parameters:', '', ' **min_wt** : float, optional', '', ' If ignoring ``NaN`` / zeros, force all grid points with a weight less than', ' this value to ``NaN`` (the weight of a grid point with *no* ignored', ' neighbors is 1.0).', ' If ``min_wt`` is zero, then all zero-weight points will be set to zero', ' instead of ``NaN`` (which they would be otherwise, because 1/0 = nan).', ' See the examples below', '', ' **fft_pad** : bool, optional', '', ' Default on. Zero-pad image to the nearest 2^n. With', " ``boundary='wrap'``, this will be disabled.", '', ' **psf_pad** : bool, optional', '', ' Zero-pad image to be at least the sum of the image sizes to avoid', ' edge-wrapping when smoothing. This is enabled by default with', " ``boundary='fill'``, but it can be overridden with a boolean option.", " ``boundary='wrap'`` and ``psf_pad=True`` are not compatible.", '', ' **crop** : bool, optional', '', ' Default on. Return an image of the size of the larger of the input', ' image and the kernel.', ' If the image and kernel are asymmetric in opposite directions, will', ' return the largest image in both directions.', ' For example, if an input image has shape [100,3] but a kernel with shape', ' [6,6] is used, the output will be [100,6].', '', ' **return_fft** : bool, optional', '', ' Return the ``fft(image)*fft(kernel)`` instead of the convolution (which is', ' ``ifft(fft(image)*fft(kernel))``). Useful for making PSDs.', '', ' **fftn, ifftn** : functions, optional', '', ' The fft and inverse fft functions. Can be overridden to use your own', " ffts, e.g. an fftw3 wrapper or scipy's fftn,", ' ``fft=scipy.fftpack.fftn``', '', ' **complex_dtype** : numpy.complex, optional', '', ' Which complex dtype to use. `numpy` has a range of options, from 64 to', ' 256.', '', ' **quiet** : bool, optional', '', ' Silence warning message about NaN interpolation', '', ' **allow_huge** : bool, optional', '', ' Allow huge arrays in the FFT? If False, will raise an exception if the', ' array or kernel size is >1 GB', '', ':Raises:', '', ' **ValueError:**', '', ' If the array is bigger than 1 GB after padding, will raise this exception', ' unless ``allow_huge`` is True', '', '.. seealso::', '', ' ', ' :obj:`convolve`', ' Convolve is a non-fft version of this code. It is more memory efficient and for small kernels can be faster.', ' ', '.. rubric:: Notes', '', '', 'With ``psf_pad=True`` and a large PSF, the resulting data can become', 'very large and consume a lot of memory. See Issue', 'https://github.com/astropy/astropy/pull/4366 for further detail.', '', '.. rubric:: Examples', '', '', '>>> convolve_fft([1, 0, 3], [1, 1, 1])', 'array([ 1., 4., 3.])', '', '>>> convolve_fft([1, np.nan, 3], [1, 1, 1])', 'array([ 1., 4., 3.])', '', '>>> convolve_fft([1, 0, 3], [0, 1, 0])', 'array([ 1., 0., 3.])', '', '>>> convolve_fft([1, 2, 3], [1])', 'array([ 1., 2., 3.])', '', ">>> convolve_fft([1, np.nan, 3], [0, 1, 0], nan_treatment='interpolate')", '...', 'array([ 1., 0., 3.])', '', ">>> convolve_fft([1, np.nan, 3], [0, 1, 0], nan_treatment='interpolate',", '... min_wt=1e-8)', 'array([ 1., nan, 3.])', '', ">>> convolve_fft([1, np.nan, 3], [1, 1, 1], nan_treatment='interpolate')", 'array([ 1., 4., 3.])', '', ">>> convolve_fft([1, np.nan, 3], [1, 1, 1], nan_treatment='interpolate',", '... normalize_kernel=True)', 'array([ 1., 2., 3.])', '', '>>> import scipy.fftpack # optional - requires scipy', ">>> convolve_fft([1, np.nan, 3], [1, 1, 1], nan_treatment='interpolate',", '... normalize_kernel=True,', '... fftn=scipy.fftpack.fft, ifftn=scipy.fftpack.ifft)', 'array([ 1., 2., 3.])']:144: WARNING: py:obj reference target not found: numpy ["discretize_model(model, x_range, y_range=None, mode='center', factor=10)", ':module: astropy.convolution', '', '', '', 'Function to evaluate analytical model functions on a grid.', '', 'So far the function can only deal with pixel coordinates.', '', ':Parameters:', '', ' **model** : `~astropy.modeling.FittableModel` or callable.', '', ' Analytic model function to be discretized. Callables, which are not an', ' instances of `~astropy.modeling.FittableModel` are passed to', ' `~astropy.modeling.custom_model` and then evaluated.', '', ' **x_range** : tuple', '', ' x range in which the model is evaluated. The difference between the', ' upper an lower limit must be a whole number, so that the output array', ' size is well defined.', '', ' **y_range** : tuple, optional', '', ' y range in which the model is evaluated. The difference between the', ' upper an lower limit must be a whole number, so that the output array', ' size is well defined. Necessary only for 2D models.', '', ' **mode** : str, optional', '', ' One of the following modes:', " * ``'center'`` (default)", ' Discretize model by taking the value', ' at the center of the bin.', " * ``'linear_interp'``", ' Discretize model by linearly interpolating', ' between the values at the corners of the bin.', ' For 2D models interpolation is bilinear.', " * ``'oversample'``", ' Discretize model by taking the average', ' on an oversampled grid.', " * ``'integrate'``", ' Discretize model by integrating the model', ' over the bin using `scipy.integrate.quad`.', ' Very slow.', '', ' **factor** : float or int', '', ' Factor of oversampling. Default = 10.', '', ':Returns:', '', ' **array** : `numpy.array`', '', ' Model value array', '', '.. rubric:: Notes', '', '', 'The ``oversample`` mode allows to conserve the integral on a subpixel', 'scale. Here is the example of a normalized Gaussian1D:', '', '.. plot::', ' :include-source:', '', ' import matplotlib.pyplot as plt', ' import numpy as np', ' from astropy.modeling.models import Gaussian1D', ' from astropy.convolution.utils import discretize_model', ' gauss_1D = Gaussian1D(1 / (0.5 * np.sqrt(2 * np.pi)), 0, 0.5)', " y_center = discretize_model(gauss_1D, (-2, 3), mode='center')", " y_corner = discretize_model(gauss_1D, (-2, 3), mode='linear_interp')", " y_oversample = discretize_model(gauss_1D, (-2, 3), mode='oversample')", " plt.plot(y_center, label='center sum = {0:3f}'.format(y_center.sum()))", " plt.plot(y_corner, label='linear_interp sum = {0:3f}'.format(y_corner.sum()))", " plt.plot(y_oversample, label='oversample sum = {0:3f}'.format(y_oversample.sum()))", " plt.xlabel('pixels')", " plt.ylabel('value')", ' plt.legend()', ' plt.show()']:41: WARNING: py:obj reference target not found: scipy.integrate.quad ["discretize_model(model, x_range, y_range=None, mode='center', factor=10)", ':module: astropy.convolution', '', '', '', 'Function to evaluate analytical model functions on a grid.', '', 'So far the function can only deal with pixel coordinates.', '', ':Parameters:', '', ' **model** : `~astropy.modeling.FittableModel` or callable.', '', ' Analytic model function to be discretized. Callables, which are not an', ' instances of `~astropy.modeling.FittableModel` are passed to', ' `~astropy.modeling.custom_model` and then evaluated.', '', ' **x_range** : tuple', '', ' x range in which the model is evaluated. The difference between the', ' upper an lower limit must be a whole number, so that the output array', ' size is well defined.', '', ' **y_range** : tuple, optional', '', ' y range in which the model is evaluated. The difference between the', ' upper an lower limit must be a whole number, so that the output array', ' size is well defined. Necessary only for 2D models.', '', ' **mode** : str, optional', '', ' One of the following modes:', " * ``'center'`` (default)", ' Discretize model by taking the value', ' at the center of the bin.', " * ``'linear_interp'``", ' Discretize model by linearly interpolating', ' between the values at the corners of the bin.', ' For 2D models interpolation is bilinear.', " * ``'oversample'``", ' Discretize model by taking the average', ' on an oversampled grid.', " * ``'integrate'``", ' Discretize model by integrating the model', ' over the bin using `scipy.integrate.quad`.', ' Very slow.', '', ' **factor** : float or int', '', ' Factor of oversampling. Default = 10.', '', ':Returns:', '', ' **array** : `numpy.array`', '', ' Model value array', '', '.. rubric:: Notes', '', '', 'The ``oversample`` mode allows to conserve the integral on a subpixel', 'scale. Here is the example of a normalized Gaussian1D:', '', '.. plot::', ' :include-source:', '', ' import matplotlib.pyplot as plt', ' import numpy as np', ' from astropy.modeling.models import Gaussian1D', ' from astropy.convolution.utils import discretize_model', ' gauss_1D = Gaussian1D(1 / (0.5 * np.sqrt(2 * np.pi)), 0, 0.5)', " y_center = discretize_model(gauss_1D, (-2, 3), mode='center')", " y_corner = discretize_model(gauss_1D, (-2, 3), mode='linear_interp')", " y_oversample = discretize_model(gauss_1D, (-2, 3), mode='oversample')", " plt.plot(y_center, label='center sum = {0:3f}'.format(y_center.sum()))", " plt.plot(y_corner, label='linear_interp sum = {0:3f}'.format(y_corner.sum()))", " plt.plot(y_oversample, label='oversample sum = {0:3f}'.format(y_oversample.sum()))", " plt.xlabel('pixels')", " plt.ylabel('value')", ' plt.legend()', ' plt.show()']:51: WARNING: py:obj reference target not found: numpy.array /<>/docs/api/astropy.convolution.interpolate_replace_nans.rst:14: WARNING: py:obj reference target not found: numpy.ndarray ['interpolate_replace_nans(array, kernel, convolve=, **kwargs)', ':module: astropy.convolution', '', '', '', 'Given a data set containing NaNs, replace the NaNs by interpolating from', 'neighboring data points with a given kernel.', '', '', ':Parameters:', '', ' **array** : `numpy.ndarray`', '', ' Array to be convolved with ``kernel``. It can be of any', ' dimensionality, though only 1, 2, and 3d arrays have been tested.', '', ' **kernel** : `numpy.ndarray` or `astropy.convolution.Kernel`', '', ' The convolution kernel. The number of dimensions should match those', ' for the array. The dimensions *do not* have to be odd in all directions,', ' unlike in the non-fft `convolve` function. The kernel will be', ' normalized if ``normalize_kernel`` is set. It is assumed to be centered', ' (i.e., shifts may result if your kernel is asymmetric). The kernel', ' *must be normalizable* (i.e., its sum cannot be zero).', '', ' **convolve** : `convolve` or `convolve_fft`', '', ' One of the two convolution functions defined in this package.', '', ':Returns:', '', ' **newarray** : `numpy.ndarray`', '', ' A copy of the original array with NaN pixels replaced with their', ' interpolated counterparts']:13: WARNING: py:obj reference target not found: numpy.ndarray ['interpolate_replace_nans(array, kernel, convolve=, **kwargs)', ':module: astropy.convolution', '', '', '', 'Given a data set containing NaNs, replace the NaNs by interpolating from', 'neighboring data points with a given kernel.', '', '', ':Parameters:', '', ' **array** : `numpy.ndarray`', '', ' Array to be convolved with ``kernel``. It can be of any', ' dimensionality, though only 1, 2, and 3d arrays have been tested.', '', ' **kernel** : `numpy.ndarray` or `astropy.convolution.Kernel`', '', ' The convolution kernel. The number of dimensions should match those', ' for the array. The dimensions *do not* have to be odd in all directions,', ' unlike in the non-fft `convolve` function. The kernel will be', ' normalized if ``normalize_kernel`` is set. It is assumed to be centered', ' (i.e., shifts may result if your kernel is asymmetric). The kernel', ' *must be normalizable* (i.e., its sum cannot be zero).', '', ' **convolve** : `convolve` or `convolve_fft`', '', ' One of the two convolution functions defined in this package.', '', ':Returns:', '', ' **newarray** : `numpy.ndarray`', '', ' A copy of the original array with NaN pixels replaced with their', ' interpolated counterparts']:28: WARNING: py:obj reference target not found: numpy.ndarray /<>/docs/api/astropy.coordinates.AffineTransform.rst:31: WARNING: py:obj reference target not found: None ['AffineTransform(transform_func, fromsys, tosys, priority=1, register_graph=None)', ':module: astropy.coordinates', '', 'Bases: :class:`astropy.coordinates.transformations.BaseAffineTransform`', '', '', '', 'A coordinate transformation specified as a function that yields a 3 x 3', 'cartesian transformation matrix and a tuple of displacement vectors.', '', 'See `~astropy.coordinates.builtin_frames.galactocentric.Galactocentric` for', 'an example.', '', ':Parameters:', '', ' **transform_func** : callable', '', ' A callable that has the signature ``transform_func(fromcoord, toframe)``', ' and returns: a (3, 3) matrix that operates on ``fromcoord`` in a', ' Cartesian representation, and a ``CartesianRepresentation`` with', ' (optionally) an attached velocity ``CartesianDifferential`` to represent', ' a translation and offset in velocity to apply after the matrix', ' operation.', '', ' **fromsys** : class', '', ' The coordinate frame class to start from.', '', ' **tosys** : class', '', ' The coordinate frame class to transform into.', '', ' **priority** : number', '', ' The priority if this transform when finding the shortest', ' coordinate transform path - large numbers are lower priorities.', '', ' **register_graph** : `TransformGraph` or `None`', '', ' A graph to register this transformation with on creation, or', ' `None` to leave it unregistered.', '', ':Raises:', '', ' **TypeError**', '', ' If ``transform_func`` is not callable', '', '.. rubric:: Methods Summary', '', '.. autosummary::', '', ' ~AffineTransform.__call__', '', '.. rubric:: Methods Documentation', '', '.. automethod:: __call__']:37: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.coordinates.AltAz.rst:47: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.coordinates.Angle.rst:26: WARNING: py:obj reference target not found: numpy.array /<>/docs/api/astropy.coordinates.Angle.rst:32: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.coordinates.Angle.rst:43: WARNING: py:obj reference target not found: numpy.dtype /<>/docs/api/astropy.coordinates.Angle.rst:3: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.coordinates.Angle.rst:18: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.coordinates.Angle.rst:24: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.coordinates.Angle.rst:34: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.coordinates.Angle.rst:13: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.coordinates.Angle.rst:28: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.coordinates.Angle.rst:28: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.coordinates.Angle.rst:37: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.coordinates.Angle.rst:37: WARNING: py:obj reference target not found: False /<>/docs/api/astropy.coordinates.Angle.rst:42: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.coordinates.Angle.rst:3: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.coordinates.Angle.rst:32: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.coordinates.Angle.rst:37: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.coordinates.Angle.rst:39: WARNING: py:obj reference target not found: None ['BarycentricTrueEcliptic(*args, **kwargs)', ':module: astropy.coordinates', '', 'Bases: :class:`astropy.coordinates.builtin_frames.ecliptic.BaseEclipticFrame`', '', '', '', 'Barycentric ecliptic coordinates. These origin of the coordinates are the', 'barycenter of the solar system, with the x axis pointing in the direction of', 'the *true* (not mean) equinox as at the time specified by the ``equinox``', 'attribute (as seen from Earth), and the xy-plane in the plane of the', 'ecliptic for that date.', '', 'The frame attributes are listed under **Other Parameters**.', '', '.. warning::', ' In the current version of astropy, the ecliptic frames do not yet have', ' stringent accuracy tests. We recommend you test to "known-good" cases', ' to ensure this frames are what you are looking for. (and then ideally', ' you would contribute these tests to Astropy!)', '', ':Parameters:', '', ' **representation** : `BaseRepresentation` or None', '', ' A representation object or None to have no data (or use the other keywords)', ' ', '', ' **lon** : `Angle`, optional, must be keyword', '', ' The ecliptic longitude for this object (``lat`` must also be given and', ' ``representation`` must be None).', '', ' **lat** : `Angle`, optional, must be keyword', '', ' The ecliptic latitude for this object (``lon`` must also be given and', ' ``representation`` must be None).', '', ' **distance** : `~astropy.units.Quantity`, optional, must be keyword', '', " The distance for this object from the sun's center.", ' (``representation`` must be None).', ' ', '', ' **pm_lon_coslat** : `Angle`, optional, must be keyword', '', ' The proper motion in the ecliptic longitude (including the ``cos(lat)``', ' factor) for this object (``pm_lat`` must also be given).', '', ' **pm_lat** : `Angle`, optional, must be keyword', '', ' The proper motion in the ecliptic latitude for this object', ' (``pm_lon_coslat`` must also be given).', '', ' **distance** : `~astropy.units.Quantity`, optional, must be keyword', '', " The distance for this object from the sun's center.", ' (``representation`` must be None).', ' ', '', ' **copy** : bool, optional', '', ' If `True` (default), make copies of the input coordinate arrays.', ' Can only be passed in as a keyword argument.', ' ', '', ' **differential_cls** : `BaseDifferential`, dict, optional', '', ' A differential class or dictionary of differential classes (currently', " only a velocity differential with key 's' is supported). This sets", ' the expected input differential class, thereby changing the expected', ' keyword arguments of the data passed in. For example, passing', ' ``differential_cls=CartesianDifferential`` will make the classes', ' expect velocity data with the argument names ``v_x, v_y, v_z``.', '', ':Other Parameters:', '', ' **equinox** : `~astropy.time.Time`', '', ' The date to assume for this frame. Determines the location of the', ' x-axis and the location of the Earth and Sun.', '', '.. rubric:: Attributes Summary', '', '.. autosummary::', '', ' ~BarycentricTrueEcliptic.default_differential', ' ~BarycentricTrueEcliptic.default_representation', ' ~BarycentricTrueEcliptic.equinox', ' ~BarycentricTrueEcliptic.frame_attributes', ' ~BarycentricTrueEcliptic.frame_specific_representation_info', ' ~BarycentricTrueEcliptic.name', '', '.. rubric:: Attributes Documentation', '', '.. autoattribute:: default_differential', '.. autoattribute:: default_representation', '.. autoattribute:: equinox', '.. autoattribute:: frame_attributes', '.. autoattribute:: frame_specific_representation_info', '.. autoattribute:: name']:57: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.coordinates.BaseCoordinateFrame.rst:31: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.coordinates.BaseCoordinateFrame.rst:49: WARNING: py:obj reference target not found: True coordinates/references.txt:6: WARNING: py:obj reference target not found: ValueError /<>/docs/api/astropy.coordinates.BaseCoordinateFrame.rst:5: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.coordinates.BaseCoordinateFrame.rst:7: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.coordinates.BaseCoordinateFrame.rst:14: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.coordinates.BaseCoordinateFrame.rst:14: WARNING: py:obj reference target not found: False /<>/docs/api/astropy.coordinates.BaseCoordinateFrame.rst:3: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.coordinates.BaseCoordinateFrame.rst:3: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.coordinates.BaseCoordinateFrame.rst:19: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.coordinates.BaseCoordinateFrame.rst:11: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.coordinates.BaseDifferential.rst:16: WARNING: py:obj reference target not found: True ['BaseEclipticFrame(*args, **kwargs)', ':module: astropy.coordinates', '', 'Bases: :class:`astropy.coordinates.baseframe.BaseCoordinateFrame`', '', '', '', 'A base class for frames that have names and conventions like that of', 'ecliptic frames.', '', '.. warning::', ' In the current version of astropy, the ecliptic frames do not yet have', ' stringent accuracy tests. We recommend you test to "known-good" cases', ' to ensure this frames are what you are looking for. (and then ideally', ' you would contribute these tests to Astropy!)', '', ':Parameters:', '', ' **representation** : `BaseRepresentation` or None', '', ' A representation object or None to have no data (or use the other keywords)', ' ', '', ' **lon** : `Angle`, optional, must be keyword', '', ' The ecliptic longitude for this object (``lat`` must also be given and', ' ``representation`` must be None).', '', ' **lat** : `Angle`, optional, must be keyword', '', ' The ecliptic latitude for this object (``lon`` must also be given and', ' ``representation`` must be None).', '', ' **distance** : `~astropy.units.Quantity`, optional, must be keyword', '', ' The distance for this object from the {0}.', ' (``representation`` must be None).', ' ', '', ' **pm_lon_coslat** : `Angle`, optional, must be keyword', '', ' The proper motion in the ecliptic longitude (including the ``cos(lat)``', ' factor) for this object (``pm_lat`` must also be given).', '', ' **pm_lat** : `Angle`, optional, must be keyword', '', ' The proper motion in the ecliptic latitude for this object', ' (``pm_lon_coslat`` must also be given).', '', ' **distance** : `~astropy.units.Quantity`, optional, must be keyword', '', ' The distance for this object from the {0}.', ' (``representation`` must be None).', ' ', '', ' **copy** : bool, optional', '', ' If `True` (default), make copies of the input coordinate arrays.', ' Can only be passed in as a keyword argument.', ' ', '', ' **differential_cls** : `BaseDifferential`, dict, optional', '', ' A differential class or dictionary of differential classes (currently', " only a velocity differential with key 's' is supported). This sets", ' the expected input differential class, thereby changing the expected', ' keyword arguments of the data passed in. For example, passing', ' ``differential_cls=CartesianDifferential`` will make the classes', ' expect velocity data with the argument names ``v_x, v_y, v_z``.', '', '.. rubric:: Attributes Summary', '', '.. autosummary::', '', ' ~BaseEclipticFrame.default_differential', ' ~BaseEclipticFrame.default_representation', ' ~BaseEclipticFrame.frame_specific_representation_info', ' ~BaseEclipticFrame.name', '', '.. rubric:: Attributes Documentation', '', '.. autoattribute:: default_differential', '.. autoattribute:: default_representation', '.. autoattribute:: frame_specific_representation_info', '.. autoattribute:: name']:52: WARNING: py:obj reference target not found: True ['BaseRADecFrame(*args, **kwargs)', ':module: astropy.coordinates', '', 'Bases: :class:`astropy.coordinates.baseframe.BaseCoordinateFrame`', '', '', '', 'A base class that defines default representation info for frames that', 'represent longitude and latitude as Right Ascension and Declination', 'following typical "equatorial" conventions.', '', '', ':Parameters:', '', ' **representation** : `BaseRepresentation` or None', '', ' A representation object or ``None`` to have no data (or use the other', ' keywords below).', ' ', '', ' **ra** : `Angle`, optional, must be keyword', '', ' The RA for this object (``dec`` must also be given and ``representation``', ' must be None).', '', ' **dec** : `Angle`, optional, must be keyword', '', ' The Declination for this object (``ra`` must also be given and', ' ``representation`` must be None).', '', ' **distance** : `~astropy.units.Quantity`, optional, must be keyword', '', ' The Distance for this object along the line-of-sight.', ' (``representation`` must be None).', ' ', '', ' **pm_ra_cosdec** : :class:`~astropy.units.Quantity`, optional, must be keyword', '', ' The proper motion in Right Ascension (including the ``cos(dec)`` factor)', ' for this object (``pm_dec`` must also be given).', '', ' **pm_dec** : :class:`~astropy.units.Quantity`, optional, must be keyword', '', ' The proper motion in Declination for this object (``pm_ra_cosdec`` must', ' also be given).', '', ' **radial_velocity** : :class:`~astropy.units.Quantity`, optional, must be keyword', '', ' The radial velocity of this object.', ' ', '', ' **copy** : bool, optional', '', ' If `True` (default), make copies of the input coordinate arrays.', ' Can only be passed in as a keyword argument.', ' ', '', ' **differential_cls** : `BaseDifferential`, dict, optional', '', ' A differential class or dictionary of differential classes (currently', " only a velocity differential with key 's' is supported). This sets", ' the expected input differential class, thereby changing the expected', ' keyword arguments of the data passed in. For example, passing', ' ``differential_cls=CartesianDifferential`` will make the classes', ' expect velocity data with the argument names ``v_x, v_y, v_z``.', '', '.. rubric:: Attributes Summary', '', '.. autosummary::', '', ' ~BaseRADecFrame.default_differential', ' ~BaseRADecFrame.default_representation', ' ~BaseRADecFrame.frame_specific_representation_info', ' ~BaseRADecFrame.name', '', '.. rubric:: Attributes Documentation', '', '.. autoattribute:: default_differential', '.. autoattribute:: default_representation', '.. autoattribute:: frame_specific_representation_info', '.. autoattribute:: name']:47: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.coordinates.BaseRepresentation.rst:22: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.coordinates.BaseRepresentation.rst:26: WARNING: py:obj reference target not found: collections.OrderedDict /<>/docs/api/astropy.coordinates.BaseRepresentation.rst:3: WARNING: py:obj reference target not found: numpy.ndarray.shape /<>/docs/api/astropy.coordinates.BaseRepresentation.rst:7: WARNING: py:obj reference target not found: numpy.mean /<>/docs/api/astropy.coordinates.BaseRepresentation.rst:14: WARNING: py:obj reference target not found: dict /<>/docs/api/astropy.coordinates.BaseRepresentation.rst:7: WARNING: py:obj reference target not found: numpy.sum /<>/docs/api/astropy.coordinates.BaseRepresentationOrDifferential.rst:12: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.coordinates.BaseRepresentationOrDifferential.rst:3: WARNING: py:obj reference target not found: numpy.ndarray.shape ['CIRS(*args, **kwargs)', ':module: astropy.coordinates', '', 'Bases: :class:`astropy.coordinates.builtin_frames.baseradec.BaseRADecFrame`', '', '', '', 'A coordinate or frame in the Celestial Intermediate Reference System (CIRS).', '', 'The frame attributes are listed under **Other Parameters**.', '', ':Parameters:', '', ' **representation** : `BaseRepresentation` or None', '', ' A representation object or ``None`` to have no data (or use the other', ' keywords below).', ' ', '', ' **ra** : `Angle`, optional, must be keyword', '', ' The RA for this object (``dec`` must also be given and ``representation``', ' must be None).', '', ' **dec** : `Angle`, optional, must be keyword', '', ' The Declination for this object (``ra`` must also be given and', ' ``representation`` must be None).', '', ' **distance** : `~astropy.units.Quantity`, optional, must be keyword', '', ' The Distance for this object along the line-of-sight.', ' (``representation`` must be None).', ' ', '', ' **pm_ra_cosdec** : :class:`~astropy.units.Quantity`, optional, must be keyword', '', ' The proper motion in Right Ascension (including the ``cos(dec)`` factor)', ' for this object (``pm_dec`` must also be given).', '', ' **pm_dec** : :class:`~astropy.units.Quantity`, optional, must be keyword', '', ' The proper motion in Declination for this object (``pm_ra_cosdec`` must', ' also be given).', '', ' **radial_velocity** : :class:`~astropy.units.Quantity`, optional, must be keyword', '', ' The radial velocity of this object.', ' ', '', ' **copy** : bool, optional', '', ' If `True` (default), make copies of the input coordinate arrays.', ' Can only be passed in as a keyword argument.', ' ', '', ' **differential_cls** : `BaseDifferential`, dict, optional', '', ' A differential class or dictionary of differential classes (currently', " only a velocity differential with key 's' is supported). This sets", ' the expected input differential class, thereby changing the expected', ' keyword arguments of the data passed in. For example, passing', ' ``differential_cls=CartesianDifferential`` will make the classes', ' expect velocity data with the argument names ``v_x, v_y, v_z``.', '', ':Other Parameters:', '', ' **obstime** : `~astropy.time.Time`', '', ' The time at which the observation is taken. Used for determining the', ' position of the Earth and its precession.', '', '.. rubric:: Attributes Summary', '', '.. autosummary::', '', ' ~CIRS.default_differential', ' ~CIRS.default_representation', ' ~CIRS.frame_attributes', ' ~CIRS.frame_specific_representation_info', ' ~CIRS.name', ' ~CIRS.obstime', '', '.. rubric:: Attributes Documentation', '', '.. autoattribute:: default_differential', '.. autoattribute:: default_representation', '.. autoattribute:: frame_attributes', '.. autoattribute:: frame_specific_representation_info', '.. autoattribute:: name', '.. autoattribute:: obstime']:47: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.coordinates.CartesianDifferential.rst:25: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.coordinates.CartesianRepresentation.rst:35: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.coordinates.CartesianRepresentation.rst:6: WARNING: py:obj reference target not found: numpy.mean /<>/docs/api/astropy.coordinates.CartesianRepresentation.rst:6: WARNING: py:obj reference target not found: numpy.sum /<>/docs/api/astropy.coordinates.CartesianRepresentation.rst:9: WARNING: py:obj reference target not found: numpy.ndarray /<>/docs/api/astropy.coordinates.CompositeTransform.rst:28: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.coordinates.CompositeTransform.rst:30: WARNING: py:obj reference target not found: None ['CompositeTransform(transforms, fromsys, tosys, priority=1, register_graph=None, collapse_static_mats=True)', ':module: astropy.coordinates', '', 'Bases: :class:`astropy.coordinates.transformations.CoordinateTransform`', '', '', '', 'A transformation constructed by combining together a series of single-step', 'transformations.', '', 'Note that the intermediate frame objects are constructed using any frame', 'attributes in ``toframe`` or ``fromframe`` that overlap with the intermediate', "frame (``toframe`` favored over ``fromframe`` if there's a conflict). Any frame", 'attributes that are not present use the defaults.', '', ':Parameters:', '', ' **transforms** : sequence of `CoordinateTransform` objects', '', ' The sequence of transformations to apply.', '', ' **fromsys** : class', '', ' The coordinate frame class to start from.', '', ' **tosys** : class', '', ' The coordinate frame class to transform into.', '', ' **priority** : number', '', ' The priority if this transform when finding the shortest', ' coordinate transform path - large numbers are lower priorities.', '', ' **register_graph** : `TransformGraph` or `None`', '', ' A graph to register this transformation with on creation, or', ' `None` to leave it unregistered.', '', ' **collapse_static_mats** : bool', '', ' If `True`, consecutive `StaticMatrixTransform` will be collapsed into a', ' single transformation to speed up the calculation.', '', '.. rubric:: Methods Summary', '', '.. autosummary::', '', ' ~CompositeTransform.__call__', '', '.. rubric:: Methods Documentation', '', '.. automethod:: __call__']:39: WARNING: py:obj reference target not found: True coordinates/references.txt:4: WARNING: py:class reference target not found: object /<>/docs/api/astropy.coordinates.CoordinateTransform.rst:21: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.coordinates.CoordinateTransform.rst:23: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.coordinates.CylindricalDifferential.rst:19: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.coordinates.CylindricalRepresentation.rst:32: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.coordinates.Distance.rst:28: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.coordinates.Distance.rst:30: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.coordinates.Distance.rst:39: WARNING: py:obj reference target not found: numpy.dtype /<>/docs/api/astropy.coordinates.Distance.rst:6: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.coordinates.Distance.rst:8: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.coordinates.DynamicMatrixTransform.rst:28: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.coordinates.DynamicMatrixTransform.rst:30: WARNING: py:obj reference target not found: None ['FK4(*args, **kwargs)', ':module: astropy.coordinates', '', 'Bases: :class:`astropy.coordinates.builtin_frames.baseradec.BaseRADecFrame`', '', '', '', 'A coordinate or frame in the FK4 system.', '', 'Note that this is a barycentric version of FK4 - that is, the origin for', 'this frame is the Solar System Barycenter, *not* the Earth geocenter.', '', 'The frame attributes are listed under **Other Parameters**.', '', ':Parameters:', '', ' **representation** : `BaseRepresentation` or None', '', ' A representation object or ``None`` to have no data (or use the other', ' keywords below).', ' ', '', ' **ra** : `Angle`, optional, must be keyword', '', ' The RA for this object (``dec`` must also be given and ``representation``', ' must be None).', '', ' **dec** : `Angle`, optional, must be keyword', '', ' The Declination for this object (``ra`` must also be given and', ' ``representation`` must be None).', '', ' **distance** : `~astropy.units.Quantity`, optional, must be keyword', '', ' The Distance for this object along the line-of-sight.', ' (``representation`` must be None).', ' ', '', ' **pm_ra_cosdec** : :class:`~astropy.units.Quantity`, optional, must be keyword', '', ' The proper motion in Right Ascension (including the ``cos(dec)`` factor)', ' for this object (``pm_dec`` must also be given).', '', ' **pm_dec** : :class:`~astropy.units.Quantity`, optional, must be keyword', '', ' The proper motion in Declination for this object (``pm_ra_cosdec`` must', ' also be given).', '', ' **radial_velocity** : :class:`~astropy.units.Quantity`, optional, must be keyword', '', ' The radial velocity of this object.', ' ', '', ' **copy** : bool, optional', '', ' If `True` (default), make copies of the input coordinate arrays.', ' Can only be passed in as a keyword argument.', ' ', '', ' **differential_cls** : `BaseDifferential`, dict, optional', '', ' A differential class or dictionary of differential classes (currently', " only a velocity differential with key 's' is supported). This sets", ' the expected input differential class, thereby changing the expected', ' keyword arguments of the data passed in. For example, passing', ' ``differential_cls=CartesianDifferential`` will make the classes', ' expect velocity data with the argument names ``v_x, v_y, v_z``.', '', ':Other Parameters:', '', ' **equinox** : `~astropy.time.Time`', '', ' The equinox of this frame.', '', ' **obstime** : `~astropy.time.Time`', '', ' The time this frame was observed. If ``None``, will be the same as', ' ``equinox``.', '', '.. rubric:: Attributes Summary', '', '.. autosummary::', '', ' ~FK4.default_differential', ' ~FK4.default_representation', ' ~FK4.equinox', ' ~FK4.frame_attributes', ' ~FK4.frame_specific_representation_info', ' ~FK4.name', ' ~FK4.obstime', '', '.. rubric:: Attributes Documentation', '', '.. autoattribute:: default_differential', '.. autoattribute:: default_representation', '.. autoattribute:: equinox', '.. autoattribute:: frame_attributes', '.. autoattribute:: frame_specific_representation_info', '.. autoattribute:: name', '.. autoattribute:: obstime']:50: WARNING: py:obj reference target not found: True ['FK4NoETerms(*args, **kwargs)', ':module: astropy.coordinates', '', 'Bases: :class:`astropy.coordinates.builtin_frames.baseradec.BaseRADecFrame`', '', '', '', 'A coordinate or frame in the FK4 system, but with the E-terms of aberration', 'removed.', '', 'The frame attributes are listed under **Other Parameters**.', '', ':Parameters:', '', ' **representation** : `BaseRepresentation` or None', '', ' A representation object or ``None`` to have no data (or use the other', ' keywords below).', ' ', '', ' **ra** : `Angle`, optional, must be keyword', '', ' The RA for this object (``dec`` must also be given and ``representation``', ' must be None).', '', ' **dec** : `Angle`, optional, must be keyword', '', ' The Declination for this object (``ra`` must also be given and', ' ``representation`` must be None).', '', ' **distance** : `~astropy.units.Quantity`, optional, must be keyword', '', ' The Distance for this object along the line-of-sight.', ' (``representation`` must be None).', ' ', '', ' **pm_ra_cosdec** : :class:`~astropy.units.Quantity`, optional, must be keyword', '', ' The proper motion in Right Ascension (including the ``cos(dec)`` factor)', ' for this object (``pm_dec`` must also be given).', '', ' **pm_dec** : :class:`~astropy.units.Quantity`, optional, must be keyword', '', ' The proper motion in Declination for this object (``pm_ra_cosdec`` must', ' also be given).', '', ' **radial_velocity** : :class:`~astropy.units.Quantity`, optional, must be keyword', '', ' The radial velocity of this object.', ' ', '', ' **copy** : bool, optional', '', ' If `True` (default), make copies of the input coordinate arrays.', ' Can only be passed in as a keyword argument.', ' ', '', ' **differential_cls** : `BaseDifferential`, dict, optional', '', ' A differential class or dictionary of differential classes (currently', " only a velocity differential with key 's' is supported). This sets", ' the expected input differential class, thereby changing the expected', ' keyword arguments of the data passed in. For example, passing', ' ``differential_cls=CartesianDifferential`` will make the classes', ' expect velocity data with the argument names ``v_x, v_y, v_z``.', '', ':Other Parameters:', '', ' **equinox** : `~astropy.time.Time`', '', ' The equinox of this frame.', '', ' **obstime** : `~astropy.time.Time`', '', ' The time this frame was observed. If ``None``, will be the same as', ' ``equinox``.', '', '.. rubric:: Attributes Summary', '', '.. autosummary::', '', ' ~FK4NoETerms.default_differential', ' ~FK4NoETerms.default_representation', ' ~FK4NoETerms.equinox', ' ~FK4NoETerms.frame_attributes', ' ~FK4NoETerms.frame_specific_representation_info', ' ~FK4NoETerms.name', ' ~FK4NoETerms.obstime', '', '.. rubric:: Attributes Documentation', '', '.. autoattribute:: default_differential', '.. autoattribute:: default_representation', '.. autoattribute:: equinox', '.. autoattribute:: frame_attributes', '.. autoattribute:: frame_specific_representation_info', '.. autoattribute:: name', '.. autoattribute:: obstime']:48: WARNING: py:obj reference target not found: True ['FK5(*args, **kwargs)', ':module: astropy.coordinates', '', 'Bases: :class:`astropy.coordinates.builtin_frames.baseradec.BaseRADecFrame`', '', '', '', 'A coordinate or frame in the FK5 system.', '', 'Note that this is a barycentric version of FK5 - that is, the origin for', 'this frame is the Solar System Barycenter, *not* the Earth geocenter.', '', 'The frame attributes are listed under **Other Parameters**.', '', ':Parameters:', '', ' **representation** : `BaseRepresentation` or None', '', ' A representation object or ``None`` to have no data (or use the other', ' keywords below).', ' ', '', ' **ra** : `Angle`, optional, must be keyword', '', ' The RA for this object (``dec`` must also be given and ``representation``', ' must be None).', '', ' **dec** : `Angle`, optional, must be keyword', '', ' The Declination for this object (``ra`` must also be given and', ' ``representation`` must be None).', '', ' **distance** : `~astropy.units.Quantity`, optional, must be keyword', '', ' The Distance for this object along the line-of-sight.', ' (``representation`` must be None).', ' ', '', ' **pm_ra_cosdec** : :class:`~astropy.units.Quantity`, optional, must be keyword', '', ' The proper motion in Right Ascension (including the ``cos(dec)`` factor)', ' for this object (``pm_dec`` must also be given).', '', ' **pm_dec** : :class:`~astropy.units.Quantity`, optional, must be keyword', '', ' The proper motion in Declination for this object (``pm_ra_cosdec`` must', ' also be given).', '', ' **radial_velocity** : :class:`~astropy.units.Quantity`, optional, must be keyword', '', ' The radial velocity of this object.', ' ', '', ' **copy** : bool, optional', '', ' If `True` (default), make copies of the input coordinate arrays.', ' Can only be passed in as a keyword argument.', ' ', '', ' **differential_cls** : `BaseDifferential`, dict, optional', '', ' A differential class or dictionary of differential classes (currently', " only a velocity differential with key 's' is supported). This sets", ' the expected input differential class, thereby changing the expected', ' keyword arguments of the data passed in. For example, passing', ' ``differential_cls=CartesianDifferential`` will make the classes', ' expect velocity data with the argument names ``v_x, v_y, v_z``.', '', ':Other Parameters:', '', ' **equinox** : `~astropy.time.Time`', '', ' The equinox of this frame.', '', '.. rubric:: Attributes Summary', '', '.. autosummary::', '', ' ~FK5.default_differential', ' ~FK5.default_representation', ' ~FK5.equinox', ' ~FK5.frame_attributes', ' ~FK5.frame_specific_representation_info', ' ~FK5.name', '', '.. rubric:: Attributes Documentation', '', '.. autoattribute:: default_differential', '.. autoattribute:: default_representation', '.. autoattribute:: equinox', '.. autoattribute:: frame_attributes', '.. autoattribute:: frame_specific_representation_info', '.. autoattribute:: name']:50: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.coordinates.FunctionTransform.rst:26: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.coordinates.FunctionTransform.rst:28: WARNING: py:obj reference target not found: None ['GCRS(*args, **kwargs)', ':module: astropy.coordinates', '', 'Bases: :class:`astropy.coordinates.builtin_frames.baseradec.BaseRADecFrame`', '', '', '', 'A coordinate or frame in the Geocentric Celestial Reference System (GCRS).', '', "GCRS is distinct form ICRS mainly in that it is relative to the Earth's", 'center-of-mass rather than the solar system Barycenter. That means this', 'frame includes the effects of aberration (unlike ICRS). For more background', 'on the GCRS, see the references provided in the', ':ref:`astropy-coordinates-seealso` section of the documentation. (Of', 'particular note is Section 1.2 of', '`USNO Circular 179 `_)', '', 'This frame also includes frames that are defined *relative* to the Earth,', 'but that are offset (in both position and velocity) from the Earth.', '', 'The frame attributes are listed under **Other Parameters**.', '', ':Parameters:', '', ' **representation** : `BaseRepresentation` or None', '', ' A representation object or ``None`` to have no data (or use the other', ' keywords below).', ' ', '', ' **ra** : `Angle`, optional, must be keyword', '', ' The RA for this object (``dec`` must also be given and ``representation``', ' must be None).', '', ' **dec** : `Angle`, optional, must be keyword', '', ' The Declination for this object (``ra`` must also be given and', ' ``representation`` must be None).', '', ' **distance** : `~astropy.units.Quantity`, optional, must be keyword', '', ' The Distance for this object along the line-of-sight.', ' (``representation`` must be None).', ' ', '', ' **pm_ra_cosdec** : :class:`~astropy.units.Quantity`, optional, must be keyword', '', ' The proper motion in Right Ascension (including the ``cos(dec)`` factor)', ' for this object (``pm_dec`` must also be given).', '', ' **pm_dec** : :class:`~astropy.units.Quantity`, optional, must be keyword', '', ' The proper motion in Declination for this object (``pm_ra_cosdec`` must', ' also be given).', '', ' **radial_velocity** : :class:`~astropy.units.Quantity`, optional, must be keyword', '', ' The radial velocity of this object.', ' ', '', ' **copy** : bool, optional', '', ' If `True` (default), make copies of the input coordinate arrays.', ' Can only be passed in as a keyword argument.', ' ', '', ' **differential_cls** : `BaseDifferential`, dict, optional', '', ' A differential class or dictionary of differential classes (currently', " only a velocity differential with key 's' is supported). This sets", ' the expected input differential class, thereby changing the expected', ' keyword arguments of the data passed in. For example, passing', ' ``differential_cls=CartesianDifferential`` will make the classes', ' expect velocity data with the argument names ``v_x, v_y, v_z``.', '', ':Other Parameters:', '', ' **obstime** : `~astropy.time.Time`', '', ' The time at which the observation is taken. Used for determining the', ' position of the Earth.', '', ' **obsgeoloc** : `~astropy.coordinates.CartesianRepresentation`, `~astropy.units.Quantity`', '', ' The position of the observer relative to the center-of-mass of the', ' Earth, oriented the same as BCRS/ICRS. Either [0, 0, 0],', ' `~astropy.coordinates.CartesianRepresentation`, or proper input for one,', ' i.e., a `~astropy.units.Quantity` with shape (3, ...) and length units.', ' Defaults to [0, 0, 0], meaning "true" GCRS.', '', ' **obsgeovel** : `~astropy.coordinates.CartesianRepresentation`, `~astropy.units.Quantity`', '', ' The velocity of the observer relative to the center-of-mass of the', ' Earth, oriented the same as BCRS/ICRS. Either [0, 0, 0],', ' `~astropy.coordinates.CartesianRepresentation`, or proper input for one,', ' i.e., a `~astropy.units.Quantity` with shape (3, ...) and velocity', ' units. Defaults to [0, 0, 0], meaning "true" GCRS.', '', '.. rubric:: Attributes Summary', '', '.. autosummary::', '', ' ~GCRS.default_differential', ' ~GCRS.default_representation', ' ~GCRS.frame_attributes', ' ~GCRS.frame_specific_representation_info', ' ~GCRS.name', ' ~GCRS.obsgeoloc', ' ~GCRS.obsgeovel', ' ~GCRS.obstime', '', '.. rubric:: Attributes Documentation', '', '.. autoattribute:: default_differential', '.. autoattribute:: default_representation', '.. autoattribute:: frame_attributes', '.. autoattribute:: frame_specific_representation_info', '.. autoattribute:: name', '.. autoattribute:: obsgeoloc', '.. autoattribute:: obsgeovel', '.. autoattribute:: obstime']:58: WARNING: py:obj reference target not found: True ['Galactic(*args, **kwargs)', ':module: astropy.coordinates', '', 'Bases: :class:`astropy.coordinates.baseframe.BaseCoordinateFrame`', '', '', '', 'A coordinate or frame in the Galactic coordinate system.', '', 'This frame is used in a variety of Galactic contexts because it has as its', 'x-y plane the plane of the Milky Way. The positive x direction (i.e., the', 'l=0, b=0 direction) points to the center of the Milky Way and the z-axis', "points toward the North Galactic Pole (following the IAU's 1958 definition", '[R7]_). However, unlike the `~astropy.coordinates.Galactocentric` frame, the', '*origin* of this frame in 3D space is the solar system barycenter, not', 'the center of the Milky Way.', '', ':Parameters:', '', ' **representation** : `BaseRepresentation` or None', '', ' A representation object or None to have no data (or use the other keywords)', ' ', '', ' **l** : `Angle`, optional, must be keyword', '', ' The Galactic longitude for this object (``b`` must also be given and', ' ``representation`` must be None).', '', ' **b** : `Angle`, optional, must be keyword', '', ' The Galactic latitude for this object (``l`` must also be given and', ' ``representation`` must be None).', '', ' **distance** : `~astropy.units.Quantity`, optional, must be keyword', '', ' The Distance for this object along the line-of-sight.', ' ', '', ' **pm_l_cosb** : :class:`~astropy.units.Quantity`, optional, must be keyword', '', ' The proper motion in Galactic longitude (including the ``cos(b)`` term)', ' for this object (``pm_b`` must also be given).', '', ' **pm_b** : :class:`~astropy.units.Quantity`, optional, must be keyword', '', ' The proper motion in Galactic latitude for this object (``pm_l_cosb``', ' must also be given).', '', ' **radial_velocity** : :class:`~astropy.units.Quantity`, optional, must be keyword', '', ' The radial velocity of this object.', ' ', '', ' **copy** : bool, optional', '', ' If `True` (default), make copies of the input coordinate arrays.', ' Can only be passed in as a keyword argument.', ' ', '', ' **differential_cls** : `BaseDifferential`, dict, optional', '', ' A differential class or dictionary of differential classes (currently', " only a velocity differential with key 's' is supported). This sets", ' the expected input differential class, thereby changing the expected', ' keyword arguments of the data passed in. For example, passing', ' ``differential_cls=CartesianDifferential`` will make the classes', ' expect velocity data with the argument names ``v_x, v_y, v_z``.', '', '.. rubric:: Notes', '', '', '.. [R7] Blaauw, A.; Gum, C. S.; Pawsey, J. L.; Westerhout, G. (1960), "The', ' new I.A.U. system of galactic coordinates (1958 revision),"', ' `MNRAS, Vol 121, pp.123 `_.', '', '.. rubric:: Attributes Summary', '', '.. autosummary::', '', ' ~Galactic.default_differential', ' ~Galactic.default_representation', ' ~Galactic.frame_specific_representation_info', ' ~Galactic.name', '', '.. rubric:: Attributes Documentation', '', '.. autoattribute:: default_differential', '.. autoattribute:: default_representation', '.. autoattribute:: frame_specific_representation_info', '.. autoattribute:: name']:51: WARNING: py:obj reference target not found: True ['GalacticLSR(*args, **kwargs)', ':module: astropy.coordinates', '', 'Bases: :class:`astropy.coordinates.baseframe.BaseCoordinateFrame`', '', '', '', 'A coordinate or frame in the Local Standard of Rest (LSR), axis-aligned', 'to the `Galactic` frame.', '', 'This coordinate frame is axis-aligned and co-spatial with `ICRS`, but has', 'a velocity offset relative to the solar system barycenter to remove the', 'peculiar motion of the sun relative to the LSR. Roughly, the LSR is the mean', 'velocity of the stars in the solar neighborhood, but the precise definition', 'of which depends on the study. As defined in Schönrich et al. (2010):', '"The LSR is the rest frame at the location of the Sun of a star that would', 'be on a circular orbit in the gravitational potential one would obtain by', 'azimuthally averaging away non-axisymmetric features in the actual Galactic', 'potential." No such orbit truly exists, but it is still a commonly used', 'velocity frame.', '', 'We use default values from Schönrich et al. (2010) for the barycentric', 'velocity relative to the LSR, which is defined in Galactic (right-handed)', 'cartesian velocity components', ':math:`(U, V, W) = (11.1, 12.24, 7.25)~{{\\rm km}}~{{\\rm s}}^{{-1}}`. These', 'values are customizable via the ``v_bary`` argument which specifies the', 'velocity of the solar system barycenter with respect to the LSR.', '', 'The frame attributes are listed under **Other Parameters**.', '', ':Parameters:', '', ' **representation** : `BaseRepresentation` or None', '', ' A representation object or None to have no data (or use the other keywords)', ' ', '', ' **l** : `Angle`, optional, must be keyword', '', ' The Galactic longitude for this object (``b`` must also be given and', ' ``representation`` must be None).', '', ' **b** : `Angle`, optional, must be keyword', '', ' The Galactic latitude for this object (``l`` must also be given and', ' ``representation`` must be None).', '', ' **distance** : `~astropy.units.Quantity`, optional, must be keyword', '', ' The Distance for this object along the line-of-sight.', ' (``representation`` must be None).', ' ', '', ' **pm_l_cosb** : :class:`~astropy.units.Quantity`, optional, must be keyword', '', ' The proper motion in Galactic longitude (including the ``cos(b)`` term)', ' for this object (``pm_b`` must also be given).', '', ' **pm_b** : :class:`~astropy.units.Quantity`, optional, must be keyword', '', ' The proper motion in Galactic latitude for this object (``pm_l_cosb``', ' must also be given).', '', ' **radial_velocity** : :class:`~astropy.units.Quantity`, optional, must be keyword', '', ' The radial velocity of this object.', ' ', '', ' **copy** : bool, optional', '', ' If `True` (default), make copies of the input coordinate arrays.', ' Can only be passed in as a keyword argument.', ' ', '', ' **differential_cls** : `BaseDifferential`, dict, optional', '', ' A differential class or dictionary of differential classes (currently', " only a velocity differential with key 's' is supported). This sets", ' the expected input differential class, thereby changing the expected', ' keyword arguments of the data passed in. For example, passing', ' ``differential_cls=CartesianDifferential`` will make the classes', ' expect velocity data with the argument names ``v_x, v_y, v_z``.', '', ':Other Parameters:', '', ' **v_bary** : `~astropy.coordinates.representation.CartesianDifferential`', '', ' The velocity of the solar system barycenter with respect to the LSR, in', ' Galactic cartesian velocity components.', '', '.. rubric:: Attributes Summary', '', '.. autosummary::', '', ' ~GalacticLSR.default_differential', ' ~GalacticLSR.default_representation', ' ~GalacticLSR.frame_attributes', ' ~GalacticLSR.frame_specific_representation_info', ' ~GalacticLSR.name', ' ~GalacticLSR.v_bary', '', '.. rubric:: Attributes Documentation', '', '.. autoattribute:: default_differential', '.. autoattribute:: default_representation', '.. autoattribute:: frame_attributes', '.. autoattribute:: frame_specific_representation_info', '.. autoattribute:: name', '.. autoattribute:: v_bary']:65: WARNING: py:obj reference target not found: True ['Galactocentric(*args, **kwargs)', ':module: astropy.coordinates', '', 'Bases: :class:`astropy.coordinates.baseframe.BaseCoordinateFrame`', '', '', '', 'A coordinate or frame in the Galactocentric system. This frame', 'requires specifying the Sun-Galactic center distance, and optionally', 'the height of the Sun above the Galactic midplane.', '', 'The position of the Sun is assumed to be on the x axis of the final,', 'right-handed system. That is, the x axis points from the position of', 'the Sun projected to the Galactic midplane to the Galactic center --', 'roughly towards :math:`(l,b) = (0^\\circ,0^\\circ)`. For the default', 'transformation (:math:`{\\rm roll}=0^\\circ`), the y axis points roughly', 'towards Galactic longitude :math:`l=90^\\circ`, and the z axis points', 'roughly towards the North Galactic Pole (:math:`b=90^\\circ`).', '', 'The default position of the Galactic Center in ICRS coordinates is', 'taken from Reid et al. 2004,', 'http://adsabs.harvard.edu/abs/2004ApJ...616..872R.', '', '.. math::', '', ' {\\rm RA} = 17:45:37.224~{\\rm hr}\\\\', ' {\\rm Dec} = -28:56:10.23~{\\rm deg}', '', 'The default distance to the Galactic Center is 8.3 kpc, e.g.,', 'Gillessen et al. (2009),', 'https://ui.adsabs.harvard.edu/#abs/2009ApJ...692.1075G/abstract', '', 'The default height of the Sun above the Galactic midplane is taken to', 'be 27 pc, as measured by Chen et al. (2001),', 'https://ui.adsabs.harvard.edu/#abs/2001ApJ...553..184C/abstract', '', 'The default solar motion relative to the Galactic center is taken from a', 'combination of Schönrich et al. (2010) [for the peculiar velocity] and', 'Bovy (2015) [for the circular velocity at the solar radius],', 'https://ui.adsabs.harvard.edu/#abs/2010MNRAS.403.1829S/abstract', 'https://ui.adsabs.harvard.edu/#abs/2015ApJS..216...29B/abstract', '', 'For a more detailed look at the math behind this transformation, see', 'the document :ref:`coordinates-galactocentric`.', '', 'The frame attributes are listed under **Other Parameters**.', '', ':Parameters:', '', ' **representation** : `~astropy.coordinates.representation.BaseRepresentation` or None', '', ' A representation object or None to have no data (or use the other', ' keywords)', ' ', '', ' **x** : `~astropy.units.Quantity`, optional', '', ' Cartesian, Galactocentric :math:`x` position component.', '', ' **y** : `~astropy.units.Quantity`, optional', '', ' Cartesian, Galactocentric :math:`y` position component.', '', ' **z** : `~astropy.units.Quantity`, optional', '', ' Cartesian, Galactocentric :math:`z` position component.', ' ', '', ' **v_x** : `~astropy.units.Quantity`, optional', '', ' Cartesian, Galactocentric :math:`v_x` velocity component.', '', ' **v_y** : `~astropy.units.Quantity`, optional', '', ' Cartesian, Galactocentric :math:`v_y` velocity component.', '', ' **v_z** : `~astropy.units.Quantity`, optional', '', ' Cartesian, Galactocentric :math:`v_z` velocity component.', ' ', '', ' **copy** : bool, optional', '', ' If `True` (default), make copies of the input coordinate arrays.', ' Can only be passed in as a keyword argument.', ' ', '', ' **differential_cls** : `BaseDifferential`, dict, optional', '', ' A differential class or dictionary of differential classes (currently', " only a velocity differential with key 's' is supported). This sets", ' the expected input differential class, thereby changing the expected', ' keyword arguments of the data passed in. For example, passing', ' ``differential_cls=CartesianDifferential`` will make the classes', ' expect velocity data with the argument names ``v_x, v_y, v_z``.', '', ':Other Parameters:', '', ' **galcen_coord** : `ICRS`, optional, must be keyword', '', ' The ICRS coordinates of the Galactic center.', '', ' **galcen_distance** : `~astropy.units.Quantity`, optional, must be keyword', '', ' The distance from the sun to the Galactic center.', '', ' **galcen_v_sun** : `~astropy.coordinates.representation.CartesianDifferential`, optional, must be keyword', '', ' The velocity of the sun *in the Galactocentric frame* as Cartesian', ' velocity components.', '', ' **z_sun** : `~astropy.units.Quantity`, optional, must be keyword', '', ' The distance from the sun to the Galactic midplane.', '', ' **roll** : `Angle`, optional, must be keyword', '', ' The angle to rotate about the final x-axis, relative to the', ' orientation for Galactic. For example, if this roll angle is 0,', ' the final x-z plane will align with the Galactic coordinates x-z', ' plane. Unless you really know what this means, you probably should', ' not change this!', '', '.. rubric:: Examples', '', '', 'To transform to the Galactocentric frame with the default', 'frame attributes, pass the uninstantiated class name to the', '``transform_to()`` method of a coordinate frame or', '`~astropy.coordinates.SkyCoord` object::', '', ' >>> import astropy.units as u', ' >>> import astropy.coordinates as coord', ' >>> c = coord.ICRS(ra=[158.3122, 24.5] * u.degree,', ' ... dec=[-17.3, 81.52] * u.degree,', ' ... distance=[11.5, 24.12] * u.kpc)', ' >>> c.transform_to(coord.Galactocentric) # doctest: +FLOAT_CMP', ' , galcen_distance=8.3 kpc, galcen_v_sun=( 11.1, 232.24, 7.25) km / s, z_sun=27.0 pc, roll=0.0 deg): (x, y, z) in kpc', ' [( -9.6083819 , -9.40062188, 6.52056066),', ' (-21.28302307, 18.76334013, 7.84693855)]>', '', 'To specify a custom set of parameters, you have to include extra keyword', 'arguments when initializing the Galactocentric frame object::', '', ' >>> c.transform_to(coord.Galactocentric(galcen_distance=8.1*u.kpc)) # doctest: +FLOAT_CMP', ' , galcen_distance=8.1 kpc, galcen_v_sun=( 11.1, 232.24, 7.25) km / s, z_sun=27.0 pc, roll=0.0 deg): (x, y, z) in kpc', ' [( -9.40785924, -9.40062188, 6.52066574),', ' (-21.08239383, 18.76334013, 7.84798135)]>', '', 'Similarly, transforming from the Galactocentric frame to another coordinate frame::', '', ' >>> c = coord.Galactocentric(x=[-8.3, 4.5] * u.kpc,', ' ... y=[0., 81.52] * u.kpc,', ' ... z=[0.027, 24.12] * u.kpc)', ' >>> c.transform_to(coord.ICRS) # doctest: +FLOAT_CMP', ' ', '', 'Or, with custom specification of the Galactic center::', '', ' >>> c = coord.Galactocentric(x=[-8.0, 4.5] * u.kpc,', ' ... y=[0., 81.52] * u.kpc,', ' ... z=[21.0, 24120.0] * u.pc,', ' ... z_sun=21 * u.pc, galcen_distance=8. * u.kpc)', ' >>> c.transform_to(coord.ICRS) # doctest: +FLOAT_CMP', ' ', '', '.. rubric:: Attributes Summary', '', '.. autosummary::', '', ' ~Galactocentric.default_differential', ' ~Galactocentric.default_representation', ' ~Galactocentric.frame_attributes', ' ~Galactocentric.frame_specific_representation_info', ' ~Galactocentric.galcen_coord', ' ~Galactocentric.galcen_dec', ' ~Galactocentric.galcen_distance', ' ~Galactocentric.galcen_ra', ' ~Galactocentric.galcen_v_sun', ' ~Galactocentric.name', ' ~Galactocentric.roll', ' ~Galactocentric.z_sun', '', '.. rubric:: Methods Summary', '', '.. autosummary::', '', ' ~Galactocentric.get_roll0', '', '.. rubric:: Attributes Documentation', '', '.. autoattribute:: default_differential', '.. autoattribute:: default_representation', '.. autoattribute:: frame_attributes', '.. autoattribute:: frame_specific_representation_info', '.. autoattribute:: galcen_coord', '.. autoattribute:: galcen_dec', '.. autoattribute:: galcen_distance', '.. autoattribute:: galcen_ra', '.. autoattribute:: galcen_v_sun', '.. autoattribute:: name', '.. autoattribute:: roll', '.. autoattribute:: z_sun', '', '.. rubric:: Methods Documentation', '', '.. automethod:: get_roll0']:78: WARNING: py:obj reference target not found: True ['GeocentricTrueEcliptic(*args, **kwargs)', ':module: astropy.coordinates', '', 'Bases: :class:`astropy.coordinates.builtin_frames.ecliptic.BaseEclipticFrame`', '', '', '', 'Geocentric ecliptic coordinates. These origin of the coordinates are the', 'geocenter (Earth), with the x axis pointing to the *true* (not mean) equinox', 'at the time specified by the ``equinox`` attribute, and the xy-plane in the', 'plane of the ecliptic for that date.', '', 'Be aware that the definition of "geocentric" here means that this frame', '*includes* light deflection from the sun, aberration, etc when transforming', 'to/from e.g. ICRS.', '', 'The frame attributes are listed under **Other Parameters**.', '', '.. warning::', ' In the current version of astropy, the ecliptic frames do not yet have', ' stringent accuracy tests. We recommend you test to "known-good" cases', ' to ensure this frames are what you are looking for. (and then ideally', ' you would contribute these tests to Astropy!)', '', ':Parameters:', '', ' **representation** : `BaseRepresentation` or None', '', ' A representation object or None to have no data (or use the other keywords)', ' ', '', ' **lon** : `Angle`, optional, must be keyword', '', ' The ecliptic longitude for this object (``lat`` must also be given and', ' ``representation`` must be None).', '', ' **lat** : `Angle`, optional, must be keyword', '', ' The ecliptic latitude for this object (``lon`` must also be given and', ' ``representation`` must be None).', '', ' **distance** : `~astropy.units.Quantity`, optional, must be keyword', '', ' The distance for this object from the geocenter.', ' (``representation`` must be None).', ' ', '', ' **pm_lon_coslat** : `Angle`, optional, must be keyword', '', ' The proper motion in the ecliptic longitude (including the ``cos(lat)``', ' factor) for this object (``pm_lat`` must also be given).', '', ' **pm_lat** : `Angle`, optional, must be keyword', '', ' The proper motion in the ecliptic latitude for this object', ' (``pm_lon_coslat`` must also be given).', '', ' **distance** : `~astropy.units.Quantity`, optional, must be keyword', '', ' The distance for this object from the geocenter.', ' (``representation`` must be None).', ' ', '', ' **copy** : bool, optional', '', ' If `True` (default), make copies of the input coordinate arrays.', ' Can only be passed in as a keyword argument.', ' ', '', ' **differential_cls** : `BaseDifferential`, dict, optional', '', ' A differential class or dictionary of differential classes (currently', " only a velocity differential with key 's' is supported). This sets", ' the expected input differential class, thereby changing the expected', ' keyword arguments of the data passed in. For example, passing', ' ``differential_cls=CartesianDifferential`` will make the classes', ' expect velocity data with the argument names ``v_x, v_y, v_z``.', '', ':Other Parameters:', '', ' **equinox** : `~astropy.time.Time`', '', ' The date to assume for this frame. Determines the location of the', ' x-axis and the location of the Earth (necessary for transformation to', ' non-geocentric systems).', '', '.. rubric:: Attributes Summary', '', '.. autosummary::', '', ' ~GeocentricTrueEcliptic.default_differential', ' ~GeocentricTrueEcliptic.default_representation', ' ~GeocentricTrueEcliptic.equinox', ' ~GeocentricTrueEcliptic.frame_attributes', ' ~GeocentricTrueEcliptic.frame_specific_representation_info', ' ~GeocentricTrueEcliptic.name', '', '.. rubric:: Attributes Documentation', '', '.. autoattribute:: default_differential', '.. autoattribute:: default_representation', '.. autoattribute:: equinox', '.. autoattribute:: frame_attributes', '.. autoattribute:: frame_specific_representation_info', '.. autoattribute:: name']:60: WARNING: py:obj reference target not found: True ['HCRS(*args, **kwargs)', ':module: astropy.coordinates', '', 'Bases: :class:`astropy.coordinates.builtin_frames.baseradec.BaseRADecFrame`', '', '', '', 'A coordinate or frame in a Heliocentric system, with axes aligned to ICRS.', '', 'The ICRS has an origin at the Barycenter and axes which are fixed with', 'respect to space.', '', 'This coordinate system is distinct from ICRS mainly in that it is relative', "to the Sun's center-of-mass rather than the solar system Barycenter.", 'In principle, therefore, this frame should include the effects of', 'aberration (unlike ICRS), but this is not done, since they are very small,', 'of the order of 8 milli-arcseconds.', '', 'For more background on the ICRS and related coordinate transformations, see', 'the references provided in the :ref:`astropy-coordinates-seealso` section of', 'the documentation.', '', 'The frame attributes are listed under **Other Parameters**.', '', ':Parameters:', '', ' **representation** : `BaseRepresentation` or None', '', ' A representation object or ``None`` to have no data (or use the other', ' keywords below).', ' ', '', ' **ra** : `Angle`, optional, must be keyword', '', ' The RA for this object (``dec`` must also be given and ``representation``', ' must be None).', '', ' **dec** : `Angle`, optional, must be keyword', '', ' The Declination for this object (``ra`` must also be given and', ' ``representation`` must be None).', '', ' **distance** : `~astropy.units.Quantity`, optional, must be keyword', '', ' The Distance for this object along the line-of-sight.', ' (``representation`` must be None).', ' ', '', ' **pm_ra_cosdec** : :class:`~astropy.units.Quantity`, optional, must be keyword', '', ' The proper motion in Right Ascension (including the ``cos(dec)`` factor)', ' for this object (``pm_dec`` must also be given).', '', ' **pm_dec** : :class:`~astropy.units.Quantity`, optional, must be keyword', '', ' The proper motion in Declination for this object (``pm_ra_cosdec`` must', ' also be given).', '', ' **radial_velocity** : :class:`~astropy.units.Quantity`, optional, must be keyword', '', ' The radial velocity of this object.', ' ', '', ' **copy** : bool, optional', '', ' If `True` (default), make copies of the input coordinate arrays.', ' Can only be passed in as a keyword argument.', ' ', '', ' **differential_cls** : `BaseDifferential`, dict, optional', '', ' A differential class or dictionary of differential classes (currently', " only a velocity differential with key 's' is supported). This sets", ' the expected input differential class, thereby changing the expected', ' keyword arguments of the data passed in. For example, passing', ' ``differential_cls=CartesianDifferential`` will make the classes', ' expect velocity data with the argument names ``v_x, v_y, v_z``.', '', ':Other Parameters:', '', ' **obstime** : `~astropy.time.Time`', '', ' The time at which the observation is taken. Used for determining the', ' position of the Sun.', '', '.. rubric:: Attributes Summary', '', '.. autosummary::', '', ' ~HCRS.default_differential', ' ~HCRS.default_representation', ' ~HCRS.frame_attributes', ' ~HCRS.frame_specific_representation_info', ' ~HCRS.name', ' ~HCRS.obstime', '', '.. rubric:: Attributes Documentation', '', '.. autoattribute:: default_differential', '.. autoattribute:: default_representation', '.. autoattribute:: frame_attributes', '.. autoattribute:: frame_specific_representation_info', '.. autoattribute:: name', '.. autoattribute:: obstime']:60: WARNING: py:obj reference target not found: True ['HeliocentricTrueEcliptic(*args, **kwargs)', ':module: astropy.coordinates', '', 'Bases: :class:`astropy.coordinates.builtin_frames.ecliptic.BaseEclipticFrame`', '', '', '', 'Heliocentric ecliptic coordinates. These origin of the coordinates are the', 'center of the sun, with the x axis pointing in the direction of', 'the *true* (not mean) equinox as at the time specified by the ``equinox``', 'attribute (as seen from Earth), and the xy-plane in the plane of the', 'ecliptic for that date.', '', 'The frame attributes are listed under **Other Parameters**.', '', '.. warning::', ' In the current version of astropy, the ecliptic frames do not yet have', ' stringent accuracy tests. We recommend you test to "known-good" cases', ' to ensure this frames are what you are looking for. (and then ideally', ' you would contribute these tests to Astropy!)', '', ':Parameters:', '', ' **representation** : `BaseRepresentation` or None', '', ' A representation object or None to have no data (or use the other keywords)', ' ', '', ' **lon** : `Angle`, optional, must be keyword', '', ' The ecliptic longitude for this object (``lat`` must also be given and', ' ``representation`` must be None).', '', ' **lat** : `Angle`, optional, must be keyword', '', ' The ecliptic latitude for this object (``lon`` must also be given and', ' ``representation`` must be None).', '', ' **distance** : `~astropy.units.Quantity`, optional, must be keyword', '', " The distance for this object from the sun's center.", ' (``representation`` must be None).', ' ', '', ' **pm_lon_coslat** : `Angle`, optional, must be keyword', '', ' The proper motion in the ecliptic longitude (including the ``cos(lat)``', ' factor) for this object (``pm_lat`` must also be given).', '', ' **pm_lat** : `Angle`, optional, must be keyword', '', ' The proper motion in the ecliptic latitude for this object', ' (``pm_lon_coslat`` must also be given).', '', ' **distance** : `~astropy.units.Quantity`, optional, must be keyword', '', " The distance for this object from the sun's center.", ' (``representation`` must be None).', ' ', '', ' **copy** : bool, optional', '', ' If `True` (default), make copies of the input coordinate arrays.', ' Can only be passed in as a keyword argument.', ' ', '', ' **differential_cls** : `BaseDifferential`, dict, optional', '', ' A differential class or dictionary of differential classes (currently', " only a velocity differential with key 's' is supported). This sets", ' the expected input differential class, thereby changing the expected', ' keyword arguments of the data passed in. For example, passing', ' ``differential_cls=CartesianDifferential`` will make the classes', ' expect velocity data with the argument names ``v_x, v_y, v_z``.', '', ':Other Parameters:', '', ' **equinox** : `~astropy.time.Time`', '', ' The date to assume for this frame. Determines the location of the', ' x-axis and the location of the Earth and Sun.', '', '.. rubric:: Attributes Summary', '', '.. autosummary::', '', ' ~HeliocentricTrueEcliptic.default_differential', ' ~HeliocentricTrueEcliptic.default_representation', ' ~HeliocentricTrueEcliptic.equinox', ' ~HeliocentricTrueEcliptic.frame_attributes', ' ~HeliocentricTrueEcliptic.frame_specific_representation_info', ' ~HeliocentricTrueEcliptic.name', '', '.. rubric:: Attributes Documentation', '', '.. autoattribute:: default_differential', '.. autoattribute:: default_representation', '.. autoattribute:: equinox', '.. autoattribute:: frame_attributes', '.. autoattribute:: frame_specific_representation_info', '.. autoattribute:: name']:57: WARNING: py:obj reference target not found: True ['ICRS(*args, **kwargs)', ':module: astropy.coordinates', '', 'Bases: :class:`astropy.coordinates.builtin_frames.baseradec.BaseRADecFrame`', '', '', '', 'A coordinate or frame in the ICRS system.', '', 'If you\'re looking for "J2000" coordinates, and aren\'t sure if you want to', "use this or `~astropy.coordinates.FK5`, you probably want to use ICRS. It's", 'more well-defined as a catalog coordinate and is an inertial system, and is', 'very close (within tens of milliarcseconds) to J2000 equatorial.', '', 'For more background on the ICRS and related coordinate transformations, see the', 'references provided in the :ref:`astropy-coordinates-seealso` section of the', 'documentation.', '', ':Parameters:', '', ' **representation** : `BaseRepresentation` or None', '', ' A representation object or ``None`` to have no data (or use the other', ' keywords below).', ' ', '', ' **ra** : `Angle`, optional, must be keyword', '', ' The RA for this object (``dec`` must also be given and ``representation``', ' must be None).', '', ' **dec** : `Angle`, optional, must be keyword', '', ' The Declination for this object (``ra`` must also be given and', ' ``representation`` must be None).', '', ' **distance** : `~astropy.units.Quantity`, optional, must be keyword', '', ' The Distance for this object along the line-of-sight.', ' (``representation`` must be None).', ' ', '', ' **pm_ra_cosdec** : :class:`~astropy.units.Quantity`, optional, must be keyword', '', ' The proper motion in Right Ascension (including the ``cos(dec)`` factor)', ' for this object (``pm_dec`` must also be given).', '', ' **pm_dec** : :class:`~astropy.units.Quantity`, optional, must be keyword', '', ' The proper motion in Declination for this object (``pm_ra_cosdec`` must', ' also be given).', '', ' **radial_velocity** : :class:`~astropy.units.Quantity`, optional, must be keyword', '', ' The radial velocity of this object.', ' ', '', ' **copy** : bool, optional', '', ' If `True` (default), make copies of the input coordinate arrays.', ' Can only be passed in as a keyword argument.', ' ', '', ' **differential_cls** : `BaseDifferential`, dict, optional', '', ' A differential class or dictionary of differential classes (currently', " only a velocity differential with key 's' is supported). This sets", ' the expected input differential class, thereby changing the expected', ' keyword arguments of the data passed in. For example, passing', ' ``differential_cls=CartesianDifferential`` will make the classes', ' expect velocity data with the argument names ``v_x, v_y, v_z``.', '', '.. rubric:: Attributes Summary', '', '.. autosummary::', '', ' ~ICRS.default_differential', ' ~ICRS.default_representation', ' ~ICRS.frame_specific_representation_info', ' ~ICRS.name', '', '.. rubric:: Attributes Documentation', '', '.. autoattribute:: default_differential', '.. autoattribute:: default_representation', '.. autoattribute:: frame_specific_representation_info', '.. autoattribute:: name']:54: WARNING: py:obj reference target not found: True ['LSR(*args, **kwargs)', ':module: astropy.coordinates', '', 'Bases: :class:`astropy.coordinates.builtin_frames.baseradec.BaseRADecFrame`', '', '', '', 'A coordinate or frame in the Local Standard of Rest (LSR).', '', 'This coordinate frame is axis-aligned and co-spatial with `ICRS`, but has', 'a velocity offset relative to the solar system barycenter to remove the', 'peculiar motion of the sun relative to the LSR. Roughly, the LSR is the mean', 'velocity of the stars in the solar neighborhood, but the precise definition', 'of which depends on the study. As defined in Schönrich et al. (2010):', '"The LSR is the rest frame at the location of the Sun of a star that would', 'be on a circular orbit in the gravitational potential one would obtain by', 'azimuthally averaging away non-axisymmetric features in the actual Galactic', 'potential." No such orbit truly exists, but it is still a commonly used', 'velocity frame.', '', 'We use default values from Schönrich et al. (2010) for the barycentric', 'velocity relative to the LSR, which is defined in Galactic (right-handed)', 'cartesian velocity components', ':math:`(U, V, W) = (11.1, 12.24, 7.25)~{\\rm km}~{\\rm s}^{-1}`. These', 'values are customizable via the ``v_bary`` argument which specifies the', 'velocity of the solar system barycenter with respect to the LSR.', '', 'The frame attributes are listed under **Other Parameters**.', '', ':Parameters:', '', ' **representation** : `BaseRepresentation` or None', '', ' A representation object or ``None`` to have no data (or use the other', ' keywords below).', ' ', '', ' **ra** : `Angle`, optional, must be keyword', '', ' The RA for this object (``dec`` must also be given and ``representation``', ' must be None).', '', ' **dec** : `Angle`, optional, must be keyword', '', ' The Declination for this object (``ra`` must also be given and', ' ``representation`` must be None).', '', ' **distance** : `~astropy.units.Quantity`, optional, must be keyword', '', ' The Distance for this object along the line-of-sight.', ' (``representation`` must be None).', ' ', '', ' **pm_ra_cosdec** : :class:`~astropy.units.Quantity`, optional, must be keyword', '', ' The proper motion in Right Ascension (including the ``cos(dec)`` factor)', ' for this object (``pm_dec`` must also be given).', '', ' **pm_dec** : :class:`~astropy.units.Quantity`, optional, must be keyword', '', ' The proper motion in Declination for this object (``pm_ra_cosdec`` must', ' also be given).', '', ' **radial_velocity** : :class:`~astropy.units.Quantity`, optional, must be keyword', '', ' The radial velocity of this object.', ' ', '', ' **copy** : bool, optional', '', ' If `True` (default), make copies of the input coordinate arrays.', ' Can only be passed in as a keyword argument.', ' ', '', ' **differential_cls** : `BaseDifferential`, dict, optional', '', ' A differential class or dictionary of differential classes (currently', " only a velocity differential with key 's' is supported). This sets", ' the expected input differential class, thereby changing the expected', ' keyword arguments of the data passed in. For example, passing', ' ``differential_cls=CartesianDifferential`` will make the classes', ' expect velocity data with the argument names ``v_x, v_y, v_z``.', '', ':Other Parameters:', '', ' **v_bary** : `~astropy.coordinates.representation.CartesianDifferential`', '', ' The velocity of the solar system barycenter with respect to the LSR, in', ' Galactic cartesian velocity components.', '', '.. rubric:: Attributes Summary', '', '.. autosummary::', '', ' ~LSR.default_differential', ' ~LSR.default_representation', ' ~LSR.frame_attributes', ' ~LSR.frame_specific_representation_info', ' ~LSR.name', ' ~LSR.v_bary', '', '.. rubric:: Attributes Documentation', '', '.. autoattribute:: default_differential', '.. autoattribute:: default_representation', '.. autoattribute:: frame_attributes', '.. autoattribute:: frame_specific_representation_info', '.. autoattribute:: name', '.. autoattribute:: v_bary']:65: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.coordinates.Latitude.rst:9: WARNING: py:obj reference target not found: ValueError ['Latitude', ':module: astropy.coordinates', '', 'Bases: :class:`astropy.coordinates.angles.Angle`', '', '', '', 'Latitude-like angle(s) which must be in the range -90 to +90 deg.', '', 'A Latitude object is distinguished from a pure', ':class:`~astropy.coordinates.Angle` by virtue of being constrained', 'so that::', '', ' -90.0 * u.deg <= angle(s) <= +90.0 * u.deg', '', 'Any attempt to set a value outside that range will result in a', '`ValueError`.', '', 'The input angle(s) can be specified either as an array, list,', 'scalar, tuple (see below), string,', ':class:`~astropy.units.Quantity` or another', ':class:`~astropy.coordinates.Angle`.', '', 'The input parser is flexible and supports all of the input formats', 'supported by :class:`~astropy.coordinates.Angle`.', '', ':Parameters:', '', ' **angle** : array, list, scalar, `~astropy.units.Quantity`, `Angle`. The', '', ' angle value(s). If a tuple, will be interpreted as ``(h, m, s)`` or', ' ``(d, m, s)`` depending on ``unit``. If a string, it will be', ' interpreted following the rules described for', ' :class:`~astropy.coordinates.Angle`.', ' ', ' If ``angle`` is a sequence or array of strings, the resulting', ' values will be in the given ``unit``, or if `None` is provided,', ' the unit will be taken from the first given value.', ' ', '', ' **unit** : :class:`~astropy.units.UnitBase`, str, optional', '', ' The unit of the value specified for the angle. This may be', ' any string that `~astropy.units.Unit` understands, but it is', ' better to give an actual unit object. Must be an angular', ' unit.', '', ':Raises:', '', ' **`~astropy.units.UnitsError`**', '', ' If a unit is not provided or it is not an angular unit.', '', ' **`TypeError`**', '', ' If the angle parameter is an instance of :class:`~astropy.coordinates.Longitude`.']:33: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.coordinates.Longitude.rst:31: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.coordinates.PhysicsSphericalDifferential.rst:15: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.coordinates.PhysicsSphericalRepresentation.rst:34: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.coordinates.PhysicsSphericalRepresentation.rst:14: WARNING: py:obj reference target not found: dict /<>/docs/api/astropy.coordinates.PrecessedGeocentric.rst:47: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.coordinates.RadialDifferential.rst:11: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.coordinates.RadialRepresentation.rst:25: WARNING: py:obj reference target not found: True coordinates/references.txt:6: WARNING: py:obj reference target not found: collections.namedtuple /<>/docs/api/astropy.coordinates.SkyCoord.rst:50: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.coordinates.SkyCoord.rst:6: WARNING: py:obj reference target not found: numpy.ndarray /<>/docs/api/astropy.coordinates.SkyCoord.rst:15: WARNING: py:obj reference target not found: numpy /<>/docs/api/astropy.coordinates.SkyCoord.rst:14: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.coordinates.SkyCoord.rst:19: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.coordinates.SkyCoord.rst:21: WARNING: py:obj reference target not found: numpy.ndarray /<>/docs/api/astropy.coordinates.SkyCoord.rst:22: WARNING: py:obj reference target not found: decimal /<>/docs/api/astropy.coordinates.SkyCoord.rst:3: WARNING: py:obj reference target not found: False /<>/docs/api/astropy.coordinates.SkyCoord.rst:3: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.coordinates.SkyCoord.rst:27: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.coordinates.SphericalCosLatDifferential.rst:15: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.coordinates.SphericalDifferential.rst:15: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.coordinates.SphericalRepresentation.rst:32: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.coordinates.SphericalRepresentation.rst:14: WARNING: py:obj reference target not found: dict /<>/docs/api/astropy.coordinates.StaticMatrixTransform.rst:29: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.coordinates.StaticMatrixTransform.rst:31: WARNING: py:obj reference target not found: None ['Supergalactic(*args, **kwargs)', ':module: astropy.coordinates', '', 'Bases: :class:`astropy.coordinates.baseframe.BaseCoordinateFrame`', '', '', '', 'Supergalactic Coordinates', '(see Lahav et al. 2000, ,', 'and references therein).', '', '', ':Parameters:', '', ' **representation** : `BaseRepresentation` or None', '', ' A representation object or None to have no data (or use the other keywords)', ' ', '', ' **sgl** : `Angle`, optional, must be keyword', '', ' The supergalactic longitude for this object (``sgb`` must also be given and', ' ``representation`` must be None).', '', ' **sgb** : `Angle`, optional, must be keyword', '', ' The supergalactic latitude for this object (``sgl`` must also be given and', ' ``representation`` must be None).', '', ' **distance** : `~astropy.units.Quantity`, optional, must be keyword', '', ' The Distance for this object along the line-of-sight.', ' ', '', ' **pm_sgl_cossgb** : :class:`~astropy.units.Quantity`, optional, must be keyword', '', ' The proper motion in Right Ascension for this object (``pm_sgb`` must', ' also be given).', '', ' **pm_sgb** : :class:`~astropy.units.Quantity`, optional, must be keyword', '', ' The proper motion in Declination for this object (``pm_sgl_cossgb`` must', ' also be given).', '', ' **radial_velocity** : :class:`~astropy.units.Quantity`, optional, must be keyword', '', ' The radial velocity of this object.', ' ', '', ' **copy** : bool, optional', '', ' If `True` (default), make copies of the input coordinate arrays.', ' Can only be passed in as a keyword argument.', ' ', '', ' **differential_cls** : `BaseDifferential`, dict, optional', '', ' A differential class or dictionary of differential classes (currently', " only a velocity differential with key 's' is supported). This sets", ' the expected input differential class, thereby changing the expected', ' keyword arguments of the data passed in. For example, passing', ' ``differential_cls=CartesianDifferential`` will make the classes', ' expect velocity data with the argument names ``v_x, v_y, v_z``.', '', '.. rubric:: Attributes Summary', '', '.. autosummary::', '', ' ~Supergalactic.default_differential', ' ~Supergalactic.default_representation', ' ~Supergalactic.frame_specific_representation_info', ' ~Supergalactic.name', '', '.. rubric:: Attributes Documentation', '', '.. autoattribute:: default_differential', '.. autoattribute:: default_representation', '.. autoattribute:: frame_specific_representation_info', '.. autoattribute:: name']:45: WARNING: py:obj reference target not found: True coordinates/references.txt:4: WARNING: py:class reference target not found: object /<>/docs/api/astropy.coordinates.TransformGraph.rst:1: WARNING: py:obj reference target not found: dict /<>/docs/api/astropy.coordinates.TransformGraph.rst:1: WARNING: py:obj reference target not found: set coordinates/references.txt:6: WARNING: py:obj reference target not found: dict coordinates/references.txt:6: WARNING: py:obj reference target not found: set /<>/docs/api/astropy.coordinates.TransformGraph.rst:16: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.coordinates.TransformGraph.rst:18: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.coordinates.TransformGraph.rst:16: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.coordinates.TransformGraph.rst:18: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.coordinates.TransformGraph.rst:13: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.coordinates.TransformGraph.rst:5: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.coordinates.TransformGraph.rst:7: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.coordinates.TransformGraph.rst:7: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.coordinates.TransformGraph.rst:11: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.coordinates.TransformGraph.rst:13: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.coordinates.TransformGraph.rst:13: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.coordinates.TransformGraph.rst:17: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.coordinates.TransformGraph.rst:19: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.coordinates.TransformGraph.rst:19: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.coordinates.TransformGraph.rst:11: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.coordinates.TransformGraph.rst:19: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.coordinates.TransformGraph.rst:21: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.coordinates.TransformGraph.rst:26: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.coordinates.TransformGraph.rst:32: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.coordinates.UnitSphericalCosLatDifferential.rst:11: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.coordinates.UnitSphericalDifferential.rst:11: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.coordinates.UnitSphericalRepresentation.rst:26: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.coordinates.UnitSphericalRepresentation.rst:7: WARNING: py:obj reference target not found: numpy.mean /<>/docs/api/astropy.coordinates.UnitSphericalRepresentation.rst:14: WARNING: py:obj reference target not found: dict /<>/docs/api/astropy.coordinates.UnitSphericalRepresentation.rst:7: WARNING: py:obj reference target not found: numpy.sum io/ascii/references.txt:4: WARNING: py:class reference target not found: object io/ascii/references.txt:4: WARNING: py:class reference target not found: object io/ascii/references.txt:4: WARNING: py:class reference target not found: object io/ascii/references.txt:4: WARNING: py:class reference target not found: object io/ascii/references.txt:4: WARNING: py:class reference target not found: object io/ascii/references.txt:4: WARNING: py:class reference target not found: object io/ascii/references.txt:4: WARNING: py:class reference target not found: object io/ascii/references.txt:4: WARNING: py:class reference target not found: object io/ascii/references.txt:4: WARNING: py:class reference target not found: object ['read(table, guess=None, **kwargs)', ':module: astropy.io.ascii', '', '', '', 'Read the input ``table`` and return the table. Most of', 'the default behavior for various parameters is determined by the Reader', 'class.', '', '', ':Parameters:', '', ' **table** : str, file-like, list, pathlib.Path object', '', ' Input table as a file name, file-like object, list of strings,', ' single newline-separated string or pathlib.Path object .', '', ' **guess** : bool', '', ' Try to guess the table format. Defaults to None.', '', ' **format** : str, `~astropy.io.ascii.BaseReader`', '', ' Input table format', '', ' **Inputter** : `~astropy.io.ascii.BaseInputter`', '', ' Inputter class', '', ' **Outputter** : `~astropy.io.ascii.BaseOutputter`', '', ' Outputter class', '', ' **delimiter** : str', '', ' Column delimiter string', '', ' **comment** : str', '', ' Regular expression defining a comment line in table', '', ' **quotechar** : str', '', ' One-character string to quote fields containing special characters', '', ' **header_start** : int', '', ' Line index for the header line not counting comment or blank lines.', ' A line with only whitespace is considered blank.', '', ' **data_start** : int', '', ' Line index for the start of data not counting comment or blank lines.', ' A line with only whitespace is considered blank.', '', ' **data_end** : int', '', ' Line index for the end of data not counting comment or blank lines.', ' This value can be negative to count from the end.', '', ' **converters** : dict', '', ' Dictionary of converters', '', ' **data_Splitter** : `~astropy.io.ascii.BaseSplitter`', '', ' Splitter class to split data columns', '', ' **header_Splitter** : `~astropy.io.ascii.BaseSplitter`', '', ' Splitter class to split header columns', '', ' **names** : list', '', ' List of names corresponding to each data column', '', ' **include_names** : list', '', ' List of names to include in output.', '', ' **exclude_names** : list', '', ' List of names to exclude from output (applied after ``include_names``)', '', ' **fill_values** : dict', '', ' specification of fill values for bad or missing table values', '', ' **fill_include_names** : list', '', ' List of names to include in fill_values.', '', ' **fill_exclude_names** : list', '', ' List of names to exclude from fill_values (applied after ``fill_include_names``)', '', ' **fast_reader** : bool or dict', '', ' Whether to use the C engine, can also be a dict with options which', ' defaults to `False`; parameters for options dict:', ' ', ' use_fast_converter: bool', ' enable faster but slightly imprecise floating point conversion method', ' parallel: bool or int', " multiprocessing conversion using ``cpu_count()`` or ``'number'`` processes", ' exponent_style: str', " One-character string defining the exponent or ``'Fortran'`` to auto-detect", " Fortran-style scientific notation like ``'3.14159D+00'`` (``'E'``, ``'D'``, ``'Q'``),", " all case-insensitive; default ``'E'``, all other imply ``use_fast_converter``", '', ' **Reader** : `~astropy.io.ascii.BaseReader`', '', ' Reader class (DEPRECATED)', '', ' **encoding: str**', '', ' Allow to specify encoding to read the file (default= ``None``).', '', ':Returns:', '', ' **dat** : `~astropy.table.Table`', '', ' Output table']:95: WARNING: py:obj reference target not found: False ['fnpickle(object, fileorname, usecPickle=True, protocol=None, append=False)', ':module: astropy.io.misc', '', '', '', 'Pickle an object to a specified file.', '', '', ':Parameters:', '', ' **object**', '', ' The python object to pickle.', '', ' **fileorname** : str or file-like', '', ' The filename or file into which the `object` should be pickled. If a', ' file object, it should have been opened in binary mode.', '', ' **usecPickle** : bool', '', ' If True (default), the :mod:`cPickle` module is to be used in place of', ' :mod:`pickle` (cPickle is faster). This only applies for python 2.x.', '', ' **protocol** : int or None', '', ' Pickle protocol to use - see the :mod:`pickle` module for details on', ' these options. If None, the most recent protocol will be used.', '', ' **append** : bool', '', ' If True, the object is appended to the end of the file, otherwise the', ' file will be overwritten (if a file object is given instead of a', ' file name, this has no effect).']:13: WARNING: py:obj reference target not found: object ['fnpickle(object, fileorname, usecPickle=True, protocol=None, append=False)', ':module: astropy.io.misc', '', '', '', 'Pickle an object to a specified file.', '', '', ':Parameters:', '', ' **object**', '', ' The python object to pickle.', '', ' **fileorname** : str or file-like', '', ' The filename or file into which the `object` should be pickled. If a', ' file object, it should have been opened in binary mode.', '', ' **usecPickle** : bool', '', ' If True (default), the :mod:`cPickle` module is to be used in place of', ' :mod:`pickle` (cPickle is faster). This only applies for python 2.x.', '', ' **protocol** : int or None', '', ' Pickle protocol to use - see the :mod:`pickle` module for details on', ' these options. If None, the most recent protocol will be used.', '', ' **append** : bool', '', ' If True, the object is appended to the end of the file, otherwise the', ' file will be overwritten (if a file object is given instead of a', ' file name, this has no effect).']:18: WARNING: py:mod reference target not found: pickle ['fnpickle(object, fileorname, usecPickle=True, protocol=None, append=False)', ':module: astropy.io.misc', '', '', '', 'Pickle an object to a specified file.', '', '', ':Parameters:', '', ' **object**', '', ' The python object to pickle.', '', ' **fileorname** : str or file-like', '', ' The filename or file into which the `object` should be pickled. If a', ' file object, it should have been opened in binary mode.', '', ' **usecPickle** : bool', '', ' If True (default), the :mod:`cPickle` module is to be used in place of', ' :mod:`pickle` (cPickle is faster). This only applies for python 2.x.', '', ' **protocol** : int or None', '', ' Pickle protocol to use - see the :mod:`pickle` module for details on', ' these options. If None, the most recent protocol will be used.', '', ' **append** : bool', '', ' If True, the object is appended to the end of the file, otherwise the', ' file will be overwritten (if a file object is given instead of a', ' file name, this has no effect).']:23: WARNING: py:mod reference target not found: pickle ['fnunpickle(fileorname, number=0, usecPickle=True)', ':module: astropy.io.misc', '', '', '', 'Unpickle pickled objects from a specified file and return the contents.', '', '', ':Parameters:', '', ' **fileorname** : str or file-like', '', ' The file name or file from which to unpickle objects. If a file object,', ' it should have been opened in binary mode.', '', ' **number** : int', '', ' If 0, a single object will be returned (the first in the file). If >0,', ' this specifies the number of objects to be unpickled, and a list will', ' be returned with exactly that many objects. If <0, all objects in the', ' file will be unpickled and returned as a list.', '', ' **usecPickle** : bool', '', ' If True, the :mod:`cPickle` module is to be used in place of', ' :mod:`pickle` (cPickle is faster). This only applies for python 2.x.', '', ':Returns:', '', ' **contents** : obj or list', '', ' If ``number`` is 0, this is a individual object - the first one unpickled', ' from the file. Otherwise, it is a list of objects unpickled from the', ' file.', '', ':Raises:', '', ' **EOFError**', '', ' If ``number`` is >0 and there are fewer than ``number`` objects in the', ' pickled file.']:21: WARNING: py:mod reference target not found: pickle /<>/docs/api/astropy.io.misc.hdf5.read_table_hdf5.rst:17: WARNING: py:class reference target not found: h5py:File /<>/docs/api/astropy.io.misc.hdf5.read_table_hdf5.rst:17: WARNING: py:class reference target not found: h5py:Group ['read_table_hdf5(input, path=None)', ':module: astropy.io.misc.hdf5', '', '', '', 'Read a Table object from an HDF5 file', '', 'This requires `h5py `_ to be installed. If more than one', 'table is present in the HDF5 file or group, the first table is read in and', 'a warning is displayed.', '', ':Parameters:', '', ' **input** : str or :class:`h5py:File` or :class:`h5py:Group` or', '', ' :class:`h5py:Dataset` If a string, the filename to read the table from.', ' If an h5py object, either the file or the group object to read the', ' table from.', '', ' **path** : str', '', ' The path from which to read the table inside the HDF5 file.', ' This should be relative to the input file or group.']:13: WARNING: py:class reference target not found: h5py:Dataset ['write_table_hdf5(table, output, path=None, compression=False, append=False, overwrite=False, serialize_meta=False)', ':module: astropy.io.misc.hdf5', '', '', '', 'Write a Table object to an HDF5 file', '', 'This requires `h5py `_ to be installed.', '', ':Parameters:', '', ' **table** : `~astropy.table.Table`', '', ' Data table that is to be written to file.', '', ' **output** : str or :class:`h5py:File` or :class:`h5py:Group`', '', ' If a string, the filename to write the table to. If an h5py object,', ' either the file or the group object to write the table to.', '', ' **path** : str', '', ' The path to which to write the table inside the HDF5 file.', ' This should be relative to the input file or group.', '', ' **compression** : bool or str or int', '', ' Whether to compress the table inside the HDF5 file. If set to `True`,', " ``'gzip'`` compression is used. If a string is specified, it should be", " one of ``'gzip'``, ``'szip'``, or ``'lzf'``. If an integer is", " specified (in the range 0-9), ``'gzip'`` compression is used, and the", ' integer denotes the compression level.', '', ' **append** : bool', '', ' Whether to append the table to an existing HDF5 file.', '', ' **overwrite** : bool', '', ' Whether to overwrite any existing file without warning.', ' If ``append=True`` and ``overwrite=True`` then only the dataset will be', ' replaced; the file/group will not be overwritten.']:13: WARNING: py:class reference target not found: h5py:File ['write_table_hdf5(table, output, path=None, compression=False, append=False, overwrite=False, serialize_meta=False)', ':module: astropy.io.misc.hdf5', '', '', '', 'Write a Table object to an HDF5 file', '', 'This requires `h5py `_ to be installed.', '', ':Parameters:', '', ' **table** : `~astropy.table.Table`', '', ' Data table that is to be written to file.', '', ' **output** : str or :class:`h5py:File` or :class:`h5py:Group`', '', ' If a string, the filename to write the table to. If an h5py object,', ' either the file or the group object to write the table to.', '', ' **path** : str', '', ' The path to which to write the table inside the HDF5 file.', ' This should be relative to the input file or group.', '', ' **compression** : bool or str or int', '', ' Whether to compress the table inside the HDF5 file. If set to `True`,', " ``'gzip'`` compression is used. If a string is specified, it should be", " one of ``'gzip'``, ``'szip'``, or ``'lzf'``. If an integer is", " specified (in the range 0-9), ``'gzip'`` compression is used, and the", ' integer denotes the compression level.', '', ' **append** : bool', '', ' Whether to append the table to an existing HDF5 file.', '', ' **overwrite** : bool', '', ' Whether to overwrite any existing file without warning.', ' If ``append=True`` and ``overwrite=True`` then only the dataset will be', ' replaced; the file/group will not be overwritten.']:13: WARNING: py:class reference target not found: h5py:Group ['write_table_hdf5(table, output, path=None, compression=False, append=False, overwrite=False, serialize_meta=False)', ':module: astropy.io.misc.hdf5', '', '', '', 'Write a Table object to an HDF5 file', '', 'This requires `h5py `_ to be installed.', '', ':Parameters:', '', ' **table** : `~astropy.table.Table`', '', ' Data table that is to be written to file.', '', ' **output** : str or :class:`h5py:File` or :class:`h5py:Group`', '', ' If a string, the filename to write the table to. If an h5py object,', ' either the file or the group object to write the table to.', '', ' **path** : str', '', ' The path to which to write the table inside the HDF5 file.', ' This should be relative to the input file or group.', '', ' **compression** : bool or str or int', '', ' Whether to compress the table inside the HDF5 file. If set to `True`,', " ``'gzip'`` compression is used. If a string is specified, it should be", " one of ``'gzip'``, ``'szip'``, or ``'lzf'``. If an integer is", " specified (in the range 0-9), ``'gzip'`` compression is used, and the", ' integer denotes the compression level.', '', ' **append** : bool', '', ' Whether to append the table to an existing HDF5 file.', '', ' **overwrite** : bool', '', ' Whether to overwrite any existing file without warning.', ' If ``append=True`` and ``overwrite=True`` then only the dataset will be', ' replaced; the file/group will not be overwritten.']:25: WARNING: py:obj reference target not found: True ['identify_format(origin, data_class_required, path, fileobj, args, kwargs)', ':module: astropy.io.registry', '', '', '', 'Loop through identifiers to see which formats match.', '', '', ':Parameters:', '', ' **origin** : str', '', ' A string ``"read`` or ``"write"`` identifying whether the file is to be', ' opened for reading or writing.', '', ' **data_class_required** : object', '', ' The specified class for the result of `read` or the class that is to be', ' written.', '', ' **path** : str, other path object or None', '', ' The path to the file or None.', '', ' **fileobj** : File object or None.', '', " An open file object to read the file's contents, or ``None`` if the", ' file could not be opened.', '', ' **args** : sequence', '', ' Positional arguments for the `read` or `write` function. Note that', ' these must be provided as sequence.', '', ' **kwargs** : dict-like', '', ' Keyword arguments for the `read` or `write` function. Note that this', ' parameter must be `dict`-like.', '', ':Returns:', '', ' **valid_formats** : list', '', ' List of matching formats.']:33: WARNING: py:obj reference target not found: dict ['register_identifier(data_format, data_class, identifier, force=False)', ':module: astropy.io.registry', '', '', '', 'Associate an identifier function with a specific data type.', '', '', ':Parameters:', '', ' **data_format** : str', '', ' The data format identifier. This is the string that is used to', ' specify the data type when reading/writing.', '', ' **data_class** : classobj', '', ' The class of the object that can be written.', '', ' **identifier** : function', '', ' A function that checks the argument specified to `read` or `write` to', ' determine whether the input can be interpreted as a table of type', ' ``data_format``. This function should take the following arguments:', ' ', ' - ``origin``: A string ``"read"`` or ``"write"`` identifying whether', ' the file is to be opened for reading or writing.', ' - ``path``: The path to the file.', " - ``fileobj``: An open file object to read the file's contents, or", ' `None` if the file could not be opened.', ' - ``*args``: Positional arguments for the `read` or `write`', ' function.', ' - ``**kwargs``: Keyword arguments for the `read` or `write`', ' function.', ' ', ' One or both of ``path`` or ``fileobj`` may be `None`. If they are', ' both `None`, the identifier will need to work from ``args[0]``.', ' ', ' The function should return True if the input can be identified', ' as being of format ``data_format``, and False otherwise.', '', ' **force** : bool, optional', '', ' Whether to override any existing function if already present.', ' Default is ``False``.', '', '.. rubric:: Examples', '', '', 'To set the identifier based on extensions, for formats that take a', 'filename as a first argument, you can do for example::', '', ' >>> def my_identifier(*args, **kwargs):', ' ... return (isinstance(args[0], basestring) and', " ... args[0].endswith('.tbl'))", " >>> register_identifier('ipac', Table, my_identifier)"]:25: WARNING: py:obj reference target not found: None ['register_identifier(data_format, data_class, identifier, force=False)', ':module: astropy.io.registry', '', '', '', 'Associate an identifier function with a specific data type.', '', '', ':Parameters:', '', ' **data_format** : str', '', ' The data format identifier. This is the string that is used to', ' specify the data type when reading/writing.', '', ' **data_class** : classobj', '', ' The class of the object that can be written.', '', ' **identifier** : function', '', ' A function that checks the argument specified to `read` or `write` to', ' determine whether the input can be interpreted as a table of type', ' ``data_format``. This function should take the following arguments:', ' ', ' - ``origin``: A string ``"read"`` or ``"write"`` identifying whether', ' the file is to be opened for reading or writing.', ' - ``path``: The path to the file.', " - ``fileobj``: An open file object to read the file's contents, or", ' `None` if the file could not be opened.', ' - ``*args``: Positional arguments for the `read` or `write`', ' function.', ' - ``**kwargs``: Keyword arguments for the `read` or `write`', ' function.', ' ', ' One or both of ``path`` or ``fileobj`` may be `None`. If they are', ' both `None`, the identifier will need to work from ``args[0]``.', ' ', ' The function should return True if the input can be identified', ' as being of format ``data_format``, and False otherwise.', '', ' **force** : bool, optional', '', ' Whether to override any existing function if already present.', ' Default is ``False``.', '', '.. rubric:: Examples', '', '', 'To set the identifier based on extensions, for formats that take a', 'filename as a first argument, you can do for example::', '', ' >>> def my_identifier(*args, **kwargs):', ' ... return (isinstance(args[0], basestring) and', " ... args[0].endswith('.tbl'))", " >>> register_identifier('ipac', Table, my_identifier)"]:32: WARNING: py:obj reference target not found: None ['register_identifier(data_format, data_class, identifier, force=False)', ':module: astropy.io.registry', '', '', '', 'Associate an identifier function with a specific data type.', '', '', ':Parameters:', '', ' **data_format** : str', '', ' The data format identifier. This is the string that is used to', ' specify the data type when reading/writing.', '', ' **data_class** : classobj', '', ' The class of the object that can be written.', '', ' **identifier** : function', '', ' A function that checks the argument specified to `read` or `write` to', ' determine whether the input can be interpreted as a table of type', ' ``data_format``. This function should take the following arguments:', ' ', ' - ``origin``: A string ``"read"`` or ``"write"`` identifying whether', ' the file is to be opened for reading or writing.', ' - ``path``: The path to the file.', " - ``fileobj``: An open file object to read the file's contents, or", ' `None` if the file could not be opened.', ' - ``*args``: Positional arguments for the `read` or `write`', ' function.', ' - ``**kwargs``: Keyword arguments for the `read` or `write`', ' function.', ' ', ' One or both of ``path`` or ``fileobj`` may be `None`. If they are', ' both `None`, the identifier will need to work from ``args[0]``.', ' ', ' The function should return True if the input can be identified', ' as being of format ``data_format``, and False otherwise.', '', ' **force** : bool, optional', '', ' Whether to override any existing function if already present.', ' Default is ``False``.', '', '.. rubric:: Examples', '', '', 'To set the identifier based on extensions, for formats that take a', 'filename as a first argument, you can do for example::', '', ' >>> def my_identifier(*args, **kwargs):', ' ... return (isinstance(args[0], basestring) and', " ... args[0].endswith('.tbl'))", " >>> register_identifier('ipac', Table, my_identifier)"]:32: WARNING: py:obj reference target not found: None io/votable/references.txt:4: WARNING: py:class reference target not found: object io/votable/references.txt:18: WARNING: py:obj reference target not found: True io/votable/references.txt:18: WARNING: py:obj reference target not found: True io/votable/references.txt:16: WARNING: py:obj reference target not found: None io/votable/references.txt:18: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.io.votable.parse.rst:9: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.io.votable.parse.rst:9: WARNING: py:obj reference target not found: warnings ["parse(source, columns=None, invalid='exception', pedantic=None, chunk_size=256, table_number=None, table_id=None, filename=None, unit_format=None, datatype_mapping=None, _debug_python_based_parser=False)", ':module: astropy.io.votable', '', '', '', 'Parses a VOTABLE_ xml file (or file-like object), and returns a', '`~astropy.io.votable.tree.VOTableFile` object.', '', '', ':Parameters:', '', ' **source** : str or readable file-like object', '', ' Path or file object containing a VOTABLE_ xml file.', ' ', '', ' **columns** : sequence of str, optional', '', ' List of field names to include in the output. The default is', ' to include all fields.', ' ', '', ' **invalid** : str, optional', '', ' One of the following values:', ' ', " - 'exception': throw an exception when an invalid value is", ' encountered (default)', ' ', " - 'mask': mask out invalid values", ' ', '', ' **pedantic** : bool, optional', '', ' When `True`, raise an error when the file violates the spec,', ' otherwise issue a warning. Warnings may be controlled using', ' the standard Python mechanisms. See the `warnings`', ' module in the Python standard library for more information.', ' When not provided, uses the configuration setting', ' ``astropy.io.votable.pedantic``, which defaults to False.', ' ', '', ' **chunk_size** : int, optional', '', ' The number of rows to read before converting to an array.', ' Higher numbers are likely to be faster, but will consume more', ' memory.', ' ', '', ' **table_number** : int, optional', '', ' The number of table in the file to read in. If `None`, all', ' tables will be read. If a number, 0 refers to the first table', ' in the file, and only that numbered table will be parsed and', ' read in. Should not be used with ``table_id``.', ' ', '', ' **table_id** : str, optional', '', ' The ID of the table in the file to read in. Should not be', ' used with ``table_number``.', ' ', '', ' **filename** : str, optional', '', ' A filename, URL or other identifier to use in error messages.', ' If *filename* is None and *source* is a string (i.e. a path),', ' then *source* will be used as a filename for error messages.', ' Therefore, *filename* is only required when source is a', ' file-like object.', ' ', '', ' **unit_format** : str, astropy.units.format.Base instance or None, optional', '', ' The unit format to use when parsing unit attributes. If a', ' string, must be the name of a unit formatter. The built-in', ' formats include ``generic``, ``fits``, ``cds``, and', ' ``vounit``. A custom formatter may be provided by passing a', ' `~astropy.units.UnitBase` instance. If `None` (default),', ' the unit format to use will be the one specified by the', ' VOTable specification (which is ``cds`` up to version 1.2 of', ' VOTable, and (probably) ``vounit`` in future versions of the', ' spec).', ' ', '', ' **datatype_mapping** : dict of str to str, optional', '', ' A mapping of datatype names to valid VOTable datatype names.', ' For example, if the file being read contains the datatype', ' "unsignedInt" (an invalid datatype in VOTable), include the', ' mapping ``{"unsignedInt": "long"}``.', '', ':Returns:', '', ' **votable** : `~astropy.io.votable.tree.VOTableFile` object', '', ' ', '', '.. seealso::', '', ' ', ' :obj:`astropy.io.votable.exceptions`', ' The exceptions this function may raise.']:43: WARNING: py:obj reference target not found: None ["parse(source, columns=None, invalid='exception', pedantic=None, chunk_size=256, table_number=None, table_id=None, filename=None, unit_format=None, datatype_mapping=None, _debug_python_based_parser=False)", ':module: astropy.io.votable', '', '', '', 'Parses a VOTABLE_ xml file (or file-like object), and returns a', '`~astropy.io.votable.tree.VOTableFile` object.', '', '', ':Parameters:', '', ' **source** : str or readable file-like object', '', ' Path or file object containing a VOTABLE_ xml file.', ' ', '', ' **columns** : sequence of str, optional', '', ' List of field names to include in the output. The default is', ' to include all fields.', ' ', '', ' **invalid** : str, optional', '', ' One of the following values:', ' ', " - 'exception': throw an exception when an invalid value is", ' encountered (default)', ' ', " - 'mask': mask out invalid values", ' ', '', ' **pedantic** : bool, optional', '', ' When `True`, raise an error when the file violates the spec,', ' otherwise issue a warning. Warnings may be controlled using', ' the standard Python mechanisms. See the `warnings`', ' module in the Python standard library for more information.', ' When not provided, uses the configuration setting', ' ``astropy.io.votable.pedantic``, which defaults to False.', ' ', '', ' **chunk_size** : int, optional', '', ' The number of rows to read before converting to an array.', ' Higher numbers are likely to be faster, but will consume more', ' memory.', ' ', '', ' **table_number** : int, optional', '', ' The number of table in the file to read in. If `None`, all', ' tables will be read. If a number, 0 refers to the first table', ' in the file, and only that numbered table will be parsed and', ' read in. Should not be used with ``table_id``.', ' ', '', ' **table_id** : str, optional', '', ' The ID of the table in the file to read in. Should not be', ' used with ``table_number``.', ' ', '', ' **filename** : str, optional', '', ' A filename, URL or other identifier to use in error messages.', ' If *filename* is None and *source* is a string (i.e. a path),', ' then *source* will be used as a filename for error messages.', ' Therefore, *filename* is only required when source is a', ' file-like object.', ' ', '', ' **unit_format** : str, astropy.units.format.Base instance or None, optional', '', ' The unit format to use when parsing unit attributes. If a', ' string, must be the name of a unit formatter. The built-in', ' formats include ``generic``, ``fits``, ``cds``, and', ' ``vounit``. A custom formatter may be provided by passing a', ' `~astropy.units.UnitBase` instance. If `None` (default),', ' the unit format to use will be the one specified by the', ' VOTable specification (which is ``cds`` up to version 1.2 of', ' VOTable, and (probably) ``vounit`` in future versions of the', ' spec).', ' ', '', ' **datatype_mapping** : dict of str to str, optional', '', ' A mapping of datatype names to valid VOTable datatype names.', ' For example, if the file being read contains the datatype', ' "unsignedInt" (an invalid datatype in VOTable), include the', ' mapping ``{"unsignedInt": "long"}``.', '', ':Returns:', '', ' **votable** : `~astropy.io.votable.tree.VOTableFile` object', '', ' ', '', '.. seealso::', '', ' ', ' :obj:`astropy.io.votable.exceptions`', ' The exceptions this function may raise.']:63: WARNING: py:obj reference target not found: None io/votable/references.txt:6: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.io.votable.tree.Field.rst:1: WARNING: py:obj reference target not found: None io/votable/references.txt:6: WARNING: py:obj reference target not found: None io/votable/references.txt:12: WARNING: py:obj reference target not found: True io/votable/references.txt:16: WARNING: py:obj reference target not found: True io/votable/references.txt:16: WARNING: py:obj reference target not found: False /<>/docs/api/astropy.io.votable.tree.Values.rst:1: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.io.votable.tree.Values.rst:1: WARNING: py:obj reference target not found: True io/votable/references.txt:6: WARNING: py:obj reference target not found: True io/votable/references.txt:6: WARNING: py:obj reference target not found: True io/votable/references.txt:16: WARNING: py:obj reference target not found: True io/votable/references.txt:22: WARNING: py:obj reference target not found: True io/votable/references.txt:16: WARNING: py:obj reference target not found: True io/votable/references.txt:22: WARNING: py:obj reference target not found: True io/votable/references.txt:22: WARNING: py:obj reference target not found: True io/votable/references.txt:22: WARNING: py:obj reference target not found: False io/votable/references.txt:17: WARNING: py:obj reference target not found: None io/votable/references.txt:22: WARNING: py:obj reference target not found: True io/votable/references.txt:22: WARNING: py:obj reference target not found: False /<>/docs/api/astropy.io.votable.validate.rst:14: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.io.votable.validate.rst:14: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.io.votable.validator.make_validation_report.rst:4: WARNING: py:obj reference target not found: True io/votable/references.txt:6: WARNING: py:obj reference target not found: ValueError /<>/docs/api/astropy.logger.AstropyLogger.rst:7: WARNING: py:class reference target not found: logging.Logger /<>/docs/api/astropy.logger.Conf.rst:1: WARNING: py:obj reference target not found: warnings.warn /<>/docs/api/astropy.logger.Conf.rst:9: WARNING: py:obj reference target not found: warnings.warn /<>/docs/api/astropy.modeling.Model.rst:7: WARNING: py:class reference target not found: object /<>/docs/api/astropy.modeling.Model.rst:60: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.modeling.Model.rst:1: WARNING: py:obj reference target not found: tuple /<>/docs/api/astropy.modeling.Model.rst:1: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.modeling.Model.rst:1: WARNING: py:obj reference target not found: dict /<>/docs/api/astropy.modeling.Model.rst:1: WARNING: py:obj reference target not found: dict /<>/docs/api/astropy.modeling.Model.rst:1: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.modeling.Model.rst:1: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.modeling.Model.rst:1: WARNING: py:obj reference target not found: dict /<>/docs/api/astropy.modeling.Model.rst:9: WARNING: py:obj reference target not found: tuple /<>/docs/api/astropy.modeling.Model.rst:9: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.modeling.Model.rst:19: WARNING: py:obj reference target not found: numpy /<>/docs/api/astropy.modeling.Model.rst:53: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.modeling.Model.rst:9: WARNING: py:obj reference target not found: dict /<>/docs/api/astropy.modeling.Model.rst:9: WARNING: py:obj reference target not found: dict /<>/docs/api/astropy.modeling.Model.rst:9: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.modeling.Model.rst:9: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.modeling.Model.rst:9: WARNING: py:obj reference target not found: dict /<>/docs/api/astropy.modeling.Model.rst:17: WARNING: py:obj reference target not found: numpy.ndarray /<>/docs/api/astropy.modeling.Model.rst:33: WARNING: py:obj reference target not found: numpy.ndarray /<>/docs/api/astropy.modeling.Model.rst:35: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.modeling.Model.rst:35: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.modeling.blackbody.BlackBody1D.rst:13: WARNING: py:obj reference target not found: numpy.ndarray /<>/docs/api/astropy.modeling.blackbody.BlackBody1D.rst:18: WARNING: py:obj reference target not found: numpy.ndarray /<>/docs/api/astropy.modeling.blackbody.BlackBody1D.rst:23: WARNING: py:obj reference target not found: numpy.ndarray /<>/docs/api/astropy.modeling.blackbody.blackbody_nu.rst:13: WARNING: py:obj reference target not found: numpy.errstate /<>/docs/api/astropy.modeling.custom_model.rst:17: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.modeling.fitting.Fitter.rst:7: WARNING: py:class reference target not found: object /<>/docs/api/astropy.modeling.fitting.FittingWithOutlierRemoval.rst:7: WARNING: py:class reference target not found: object /<>/docs/api/astropy.modeling.fitting.JointFitter.rst:7: WARNING: py:class reference target not found: object /<>/docs/api/astropy.modeling.fitting.LevMarLSQFitter.rst:7: WARNING: py:class reference target not found: object /<>/docs/api/astropy.modeling.fitting.LevMarLSQFitter.rst:13: WARNING: py:obj reference target not found: scipy.optimize.leastsq /<>/docs/api/astropy.modeling.fitting.LevMarLSQFitter.rst:13: WARNING: py:obj reference target not found: scipy.optimize.leastsq /<>/docs/api/astropy.modeling.fitting.LevMarLSQFitter.rst:30: WARNING: py:obj reference target not found: scipy.optimize.leastsq /<>/docs/api/astropy.modeling.fitting.LinearLSQFitter.rst:7: WARNING: py:class reference target not found: object /<>/docs/api/astropy.modeling.fitting.LinearLSQFitter.rst:11: WARNING: py:obj reference target not found: numpy.linalg.lstsq /<>/docs/api/astropy.modeling.mappings.Mapping.rst:21: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.modeling.optimizers.Optimization.rst:7: WARNING: py:class reference target not found: object /<>/docs/api/astropy.modeling.optimizers.SLSQP.rst:11: WARNING: py:obj reference target not found: scipy.optimize.fmin_slsqp /<>/docs/api/astropy.modeling.optimizers.Simplex.rst:11: WARNING: py:obj reference target not found: scipy.optimize.fmin /<>/docs/api/astropy.modeling.statistic.leastsquare.rst:13: WARNING: py:obj reference target not found: numpy.ndarray ['leastsquare(measured_vals, updated_model, weights, x, y=None)', ':module: astropy.modeling.statistic', '', '', '', 'Least square statistic with optional weights.', '', '', ':Parameters:', '', ' **measured_vals** : `~numpy.ndarray`', '', ' Measured data values.', '', ' **updated_model** : `~astropy.modeling.Model`', '', ' Model with parameters set by the current iteration of the optimizer.', '', ' **weights** : `~numpy.ndarray`', '', ' Array of weights to apply to each residual.', '', ' **x** : `~numpy.ndarray`', '', ' Independent variable "x" to evaluate the model on.', '', ' **y** : `~numpy.ndarray`, optional', '', ' Independent variable "y" to evaluate the model on, for 2D models.', '', ':Returns:', '', ' **res** : float', '', ' The sum of least squares.']:15: WARNING: py:obj reference target not found: numpy.ndarray ['leastsquare(measured_vals, updated_model, weights, x, y=None)', ':module: astropy.modeling.statistic', '', '', '', 'Least square statistic with optional weights.', '', '', ':Parameters:', '', ' **measured_vals** : `~numpy.ndarray`', '', ' Measured data values.', '', ' **updated_model** : `~astropy.modeling.Model`', '', ' Model with parameters set by the current iteration of the optimizer.', '', ' **weights** : `~numpy.ndarray`', '', ' Array of weights to apply to each residual.', '', ' **x** : `~numpy.ndarray`', '', ' Independent variable "x" to evaluate the model on.', '', ' **y** : `~numpy.ndarray`, optional', '', ' Independent variable "y" to evaluate the model on, for 2D models.', '', ':Returns:', '', ' **res** : float', '', ' The sum of least squares.']:19: WARNING: py:obj reference target not found: numpy.ndarray ['leastsquare(measured_vals, updated_model, weights, x, y=None)', ':module: astropy.modeling.statistic', '', '', '', 'Least square statistic with optional weights.', '', '', ':Parameters:', '', ' **measured_vals** : `~numpy.ndarray`', '', ' Measured data values.', '', ' **updated_model** : `~astropy.modeling.Model`', '', ' Model with parameters set by the current iteration of the optimizer.', '', ' **weights** : `~numpy.ndarray`', '', ' Array of weights to apply to each residual.', '', ' **x** : `~numpy.ndarray`', '', ' Independent variable "x" to evaluate the model on.', '', ' **y** : `~numpy.ndarray`, optional', '', ' Independent variable "y" to evaluate the model on, for 2D models.', '', ':Returns:', '', ' **res** : float', '', ' The sum of least squares.']:23: WARNING: py:obj reference target not found: numpy.ndarray /<>/docs/api/astropy.nddata.CCDData.rst:17: WARNING: py:obj reference target not found: numpy.ndarray /<>/docs/api/astropy.nddata.CCDData.rst:24: WARNING: py:obj reference target not found: numpy.ndarray /<>/docs/api/astropy.nddata.CCDData.rst:29: WARNING: py:obj reference target not found: numpy.ndarray /<>/docs/api/astropy.nddata.CCDData.rst:31: WARNING: py:obj reference target not found: False /<>/docs/api/astropy.nddata.CCDData.rst:31: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.nddata.CCDData.rst:39: WARNING: py:obj reference target not found: numpy.ndarray ['CCDData(*args, **kwd)', ':module: astropy.nddata', '', 'Bases: :class:`astropy.nddata.compat.NDDataArray`', '', '', '', 'A class describing basic CCD data.', '', 'The CCDData class is based on the NDData object and includes a data array,', 'uncertainty frame, mask frame, meta data, units, and WCS information for a', 'single CCD image.', '', ':Parameters:', '', ' **data** : `~astropy.nddata.CCDData`-like or `numpy.ndarray`-like', '', ' The actual data contained in this `~astropy.nddata.CCDData` object.', ' Note that the data will always be saved by *reference*, so you should', " make a copy of the ``data`` before passing it in if that's the desired", ' behavior.', ' ', '', ' **uncertainty** : `~astropy.nddata.StdDevUncertainty`, `numpy.ndarray` or None, optional', '', ' Uncertainties on the data.', ' Default is ``None``.', ' ', '', ' **mask** : `numpy.ndarray` or None, optional', '', ' Mask for the data, given as a boolean Numpy array with a shape', ' matching that of the data. The values must be `False` where', ' the data is *valid* and `True` when it is not (like Numpy', ' masked arrays). If ``data`` is a numpy masked array, providing', ' ``mask`` here will causes the mask from the masked array to be', ' ignored.', ' Default is ``None``.', ' ', '', ' **flags** : `numpy.ndarray` or `~astropy.nddata.FlagCollection` or None, optional', '', ' Flags giving information about each pixel. These can be specified', ' either as a Numpy array of any type with a shape matching that of the', ' data, or as a `~astropy.nddata.FlagCollection` instance which has a', ' shape matching that of the data.', ' Default is ``None``.', ' ', '', ' **wcs** : `~astropy.wcs.WCS` or None, optional', '', ' WCS-object containing the world coordinate system for the data.', ' Default is ``None``.', ' ', '', ' **meta** : dict-like object or None, optional', '', ' Metadata for this object. "Metadata" here means all information that', ' is included with this object but not part of any other attribute', ' of this particular object, e.g. creation date, unique identifier,', ' simulation parameters, exposure time, telescope name, etc.', ' ', '', ' **unit** : `~astropy.units.Unit` or str, optional', '', ' The units of the data.', ' Default is ``None``.', ' ', ' .. warning::', ' ', ' If the unit is ``None`` or not otherwise specified it will raise a', ' ``ValueError``', '', ':Raises:', '', ' **ValueError**', '', ' If the ``uncertainty`` or ``mask`` inputs cannot be broadcast (e.g.,', ' match shape) onto ``data``.', '', '.. rubric:: Notes', '', '', '`~astropy.nddata.CCDData` objects can be easily converted to a regular', ' Numpy array using `numpy.asarray`.', '', 'For example::', '', ' >>> from astropy.nddata import CCDData', ' >>> import numpy as np', " >>> x = CCDData([1,2,3], unit='adu')", ' >>> np.asarray(x)', ' array([1, 2, 3])', '', 'This is useful, for example, when plotting a 2D image using', 'matplotlib.', '', ' >>> from astropy.nddata import CCDData', ' >>> from matplotlib import pyplot as plt # doctest: +SKIP', " >>> x = CCDData([[1,2,3], [4,5,6]], unit='adu')", ' >>> plt.imshow(x) # doctest: +SKIP', '', '.. rubric:: Methods', '', '', '', '======================== ==========', ' read(\\*args, \\**kwargs) ``Classmethod`` to create an CCDData instance based on a ``FITS`` file. This method uses :func:`fits_ccddata_reader` with the provided parameters. ', 'write(\\*args, \\**kwargs) Writes the contents of the CCDData instance into a new ``FITS`` file. This method uses :func:`fits_ccddata_writer` with the provided parameters. ', '======================== ==========', '', '.. rubric:: Attributes Summary', '', '.. autosummary::', '', ' ~CCDData.data', ' ~CCDData.header', ' ~CCDData.uncertainty', ' ~CCDData.unit', ' ~CCDData.wcs', '', '.. rubric:: Methods Summary', '', '.. autosummary::', '', ' ~CCDData.add', ' ~CCDData.copy', ' ~CCDData.divide', ' ~CCDData.multiply', ' ~CCDData.subtract', ' ~CCDData.to_hdu', '', '.. rubric:: Attributes Documentation', '', '.. autoattribute:: data', '.. autoattribute:: header', '.. autoattribute:: uncertainty', '.. autoattribute:: unit', '.. autoattribute:: wcs', '', '.. rubric:: Methods Documentation', '', '.. automethod:: add', '.. automethod:: copy', '.. automethod:: divide', '.. automethod:: multiply', '.. automethod:: subtract', '.. automethod:: to_hdu']:75: WARNING: py:obj reference target not found: numpy.asarray /<>/docs/api/astropy.nddata.CCDData.rst:38: WARNING: py:obj reference target not found: numpy.ndarray /<>/docs/api/astropy.nddata.Cutout2D.rst:7: WARNING: py:class reference target not found: object /<>/docs/api/astropy.nddata.Cutout2D.rst:31: WARNING: py:obj reference target not found: numpy.ndarray ["Cutout2D(data, position, size, wcs=None, mode='trim', fill_value=nan, copy=False)", ':module: astropy.nddata', '', 'Bases: :class:`object`', '', '', '', 'Create a cutout object from a 2D array.', '', 'The returned object will contain a 2D cutout array. If', '``copy=False`` (default), the cutout array is a view into the', 'original ``data`` array, otherwise the cutout array will contain a', 'copy of the original data.', '', 'If a `~astropy.wcs.WCS` object is input, then the returned object', 'will also contain a copy of the original WCS, but updated for the', 'cutout array.', '', 'For example usage, see :ref:`cutout_images`.', '', '.. warning::', '', ' The cutout WCS object does not currently handle cases where the', ' input WCS object contains distortion lookup tables described in', ' the `FITS WCS distortion paper', ' `__.', '', ':Parameters:', '', ' **data** : `~numpy.ndarray`', '', ' The 2D data array from which to extract the cutout array.', ' ', '', ' **position** : tuple or `~astropy.coordinates.SkyCoord`', '', " The position of the cutout array's center with respect to", ' the ``data`` array. The position can be specified either as', ' a ``(x, y)`` tuple of pixel coordinates or a', ' `~astropy.coordinates.SkyCoord`, in which case ``wcs`` is a', ' required input.', ' ', '', ' **size** : int, array-like, `~astropy.units.Quantity`', '', ' The size of the cutout array along each axis. If ``size``', ' is a scalar number or a scalar `~astropy.units.Quantity`,', ' then a square cutout of ``size`` will be created. If', ' ``size`` has two elements, they should be in ``(ny, nx)``', ' order. Scalar numbers in ``size`` are assumed to be in', ' units of pixels. ``size`` can also be a', ' `~astropy.units.Quantity` object or contain', ' `~astropy.units.Quantity` objects. Such', ' `~astropy.units.Quantity` objects must be in pixel or', ' angular units. For all cases, ``size`` will be converted to', ' an integer number of pixels, rounding the the nearest', ' integer. See the ``mode`` keyword for additional details on', ' the final cutout size.', ' ', ' .. note::', ' If ``size`` is in angular units, the cutout size is', ' converted to pixels using the pixel scales along each', ' axis of the image at the ``CRPIX`` location. Projection', ' and other non-linear distortions are not taken into', ' account.', ' ', '', ' **wcs** : `~astropy.wcs.WCS`, optional', '', ' A WCS object associated with the input ``data`` array. If', ' ``wcs`` is not `None`, then the returned cutout object will', ' contain a copy of the updated WCS for the cutout data array.', ' ', '', " **mode** : {'trim', 'partial', 'strict'}, optional", '', ' The mode used for creating the cutout data array. For the', " ``'partial'`` and ``'trim'`` modes, a partial overlap of the", ' cutout array and the input ``data`` array is sufficient.', " For the ``'strict'`` mode, the cutout array has to be fully", ' contained within the ``data`` array, otherwise an', ' `~astropy.nddata.utils.PartialOverlapError` is raised. In', ' all modes, non-overlapping arrays will raise a', " `~astropy.nddata.utils.NoOverlapError`. In ``'partial'``", ' mode, positions in the cutout array that do not overlap with', ' the ``data`` array will be filled with ``fill_value``. In', " ``'trim'`` mode only the overlapping elements are returned,", ' thus the resulting cutout array may be smaller than the', ' requested ``shape``.', ' ', '', ' **fill_value** : number, optional', '', " If ``mode='partial'``, the value to fill pixels in the", ' cutout array that do not overlap with the input ``data``.', ' ``fill_value`` must have the same ``dtype`` as the input', ' ``data`` array.', ' ', '', ' **copy** : bool, optional', '', ' If `False` (default), then the cutout data will be a view', ' into the original ``data`` array. If `True`, then the', ' cutout data will hold a copy of the original ``data`` array.', '', '.. rubric:: Examples', '', '', '>>> import numpy as np', '>>> from astropy.nddata.utils import Cutout2D', '>>> from astropy import units as u', '>>> data = np.arange(20.).reshape(5, 4)', '>>> cutout1 = Cutout2D(data, (2, 2), (3, 3))', '>>> print(cutout1.data)', '[[ 5. 6. 7.]', ' [ 9. 10. 11.]', ' [ 13. 14. 15.]]', '', '>>> print(cutout1.center_original)', '(2.0, 2.0)', '>>> print(cutout1.center_cutout)', '(1.0, 1.0)', '>>> print(cutout1.origin_original)', '(1, 1)', '', '>>> cutout2 = Cutout2D(data, (2, 2), 3)', '>>> print(cutout2.data)', '[[ 5. 6. 7.]', ' [ 9. 10. 11.]', ' [ 13. 14. 15.]]', '', '>>> size = u.Quantity([3, 3], u.pixel)', '>>> cutout3 = Cutout2D(data, (0, 0), size)', '>>> print(cutout3.data)', '[[ 0. 1.]', ' [ 4. 5.]]', '', '>>> cutout4 = Cutout2D(data, (0, 0), (3 * u.pixel, 3))', '>>> print(cutout4.data)', '[[ 0. 1.]', ' [ 4. 5.]]', '', ">>> cutout5 = Cutout2D(data, (0, 0), (3, 3), mode='partial')", '>>> print(cutout5.data)', '[[ nan nan nan]', ' [ nan 0. 1.]', ' [ nan 4. 5.]]', '', '.. rubric:: Attributes', '', '', '', '========================================================== ==========', ' data (2D `~numpy.ndarray`) The 2D cutout array. ', ' shape (2 tuple) The ``(ny, nx)`` shape of the cutout array. ', ' shape_input (2 tuple) The ``(ny, nx)`` shape of the input (original) array. ', ' input_position_cutout (2 tuple) The (unrounded) ``(x, y)`` position with respect to the cutout array. ', ' input_position_original (2 tuple) The original (unrounded) ``(x, y)`` input position (with respect to the original array). ', " slices_original (2 tuple of slice objects) A tuple of slice objects for the minimal bounding box of the cutout with respect to the original array. For ``mode='partial'``, the slices are for the valid (non-filled) cutout values. ", " slices_cutout (2 tuple of slice objects) A tuple of slice objects for the minimal bounding box of the cutout with respect to the cutout array. For ``mode='partial'``, the slices are for the valid (non-filled) cutout values. ", "xmin_original, ymin_original, xmax_original, ymax_original (float) The minimum and maximum ``x`` and ``y`` indices of the minimal rectangular region of the cutout array with respect to the original array. For ``mode='partial'``, the bounding box indices are for the valid (non-filled) cutout values. These values are the same as those in `bbox_original`. ", " xmin_cutout, ymin_cutout, xmax_cutout, ymax_cutout (float) The minimum and maximum ``x`` and ``y`` indices of the minimal rectangular region of the cutout array with respect to the cutout array. For ``mode='partial'``, the bounding box indices are for the valid (non-filled) cutout values. These values are the same as those in `bbox_cutout`. ", ' wcs (`~astropy.wcs.WCS` or `None`) A WCS object associated with the cutout array if a ``wcs`` was input. ', '========================================================== ==========', '', '.. rubric:: Attributes Summary', '', '.. autosummary::', '', ' ~Cutout2D.bbox_cutout', ' ~Cutout2D.bbox_original', ' ~Cutout2D.center_cutout', ' ~Cutout2D.center_original', ' ~Cutout2D.origin_cutout', ' ~Cutout2D.origin_original', ' ~Cutout2D.position_cutout', ' ~Cutout2D.position_original', '', '.. rubric:: Methods Summary', '', '.. autosummary::', '', ' ~Cutout2D.plot_on_original', ' ~Cutout2D.to_cutout_position', ' ~Cutout2D.to_original_position', '', '.. rubric:: Attributes Documentation', '', '.. autoattribute:: bbox_cutout', '.. autoattribute:: bbox_original', '.. autoattribute:: center_cutout', '.. autoattribute:: center_original', '.. autoattribute:: origin_cutout', '.. autoattribute:: origin_original', '.. autoattribute:: position_cutout', '.. autoattribute:: position_original', '', '.. rubric:: Methods Documentation', '', '.. automethod:: plot_on_original', '.. automethod:: to_cutout_position', '.. automethod:: to_original_position']:64: WARNING: py:obj reference target not found: None ["Cutout2D(data, position, size, wcs=None, mode='trim', fill_value=nan, copy=False)", ':module: astropy.nddata', '', 'Bases: :class:`object`', '', '', '', 'Create a cutout object from a 2D array.', '', 'The returned object will contain a 2D cutout array. If', '``copy=False`` (default), the cutout array is a view into the', 'original ``data`` array, otherwise the cutout array will contain a', 'copy of the original data.', '', 'If a `~astropy.wcs.WCS` object is input, then the returned object', 'will also contain a copy of the original WCS, but updated for the', 'cutout array.', '', 'For example usage, see :ref:`cutout_images`.', '', '.. warning::', '', ' The cutout WCS object does not currently handle cases where the', ' input WCS object contains distortion lookup tables described in', ' the `FITS WCS distortion paper', ' `__.', '', ':Parameters:', '', ' **data** : `~numpy.ndarray`', '', ' The 2D data array from which to extract the cutout array.', ' ', '', ' **position** : tuple or `~astropy.coordinates.SkyCoord`', '', " The position of the cutout array's center with respect to", ' the ``data`` array. The position can be specified either as', ' a ``(x, y)`` tuple of pixel coordinates or a', ' `~astropy.coordinates.SkyCoord`, in which case ``wcs`` is a', ' required input.', ' ', '', ' **size** : int, array-like, `~astropy.units.Quantity`', '', ' The size of the cutout array along each axis. If ``size``', ' is a scalar number or a scalar `~astropy.units.Quantity`,', ' then a square cutout of ``size`` will be created. If', ' ``size`` has two elements, they should be in ``(ny, nx)``', ' order. Scalar numbers in ``size`` are assumed to be in', ' units of pixels. ``size`` can also be a', ' `~astropy.units.Quantity` object or contain', ' `~astropy.units.Quantity` objects. Such', ' `~astropy.units.Quantity` objects must be in pixel or', ' angular units. For all cases, ``size`` will be converted to', ' an integer number of pixels, rounding the the nearest', ' integer. See the ``mode`` keyword for additional details on', ' the final cutout size.', ' ', ' .. note::', ' If ``size`` is in angular units, the cutout size is', ' converted to pixels using the pixel scales along each', ' axis of the image at the ``CRPIX`` location. Projection', ' and other non-linear distortions are not taken into', ' account.', ' ', '', ' **wcs** : `~astropy.wcs.WCS`, optional', '', ' A WCS object associated with the input ``data`` array. If', ' ``wcs`` is not `None`, then the returned cutout object will', ' contain a copy of the updated WCS for the cutout data array.', ' ', '', " **mode** : {'trim', 'partial', 'strict'}, optional", '', ' The mode used for creating the cutout data array. For the', " ``'partial'`` and ``'trim'`` modes, a partial overlap of the", ' cutout array and the input ``data`` array is sufficient.', " For the ``'strict'`` mode, the cutout array has to be fully", ' contained within the ``data`` array, otherwise an', ' `~astropy.nddata.utils.PartialOverlapError` is raised. In', ' all modes, non-overlapping arrays will raise a', " `~astropy.nddata.utils.NoOverlapError`. In ``'partial'``", ' mode, positions in the cutout array that do not overlap with', ' the ``data`` array will be filled with ``fill_value``. In', " ``'trim'`` mode only the overlapping elements are returned,", ' thus the resulting cutout array may be smaller than the', ' requested ``shape``.', ' ', '', ' **fill_value** : number, optional', '', " If ``mode='partial'``, the value to fill pixels in the", ' cutout array that do not overlap with the input ``data``.', ' ``fill_value`` must have the same ``dtype`` as the input', ' ``data`` array.', ' ', '', ' **copy** : bool, optional', '', ' If `False` (default), then the cutout data will be a view', ' into the original ``data`` array. If `True`, then the', ' cutout data will hold a copy of the original ``data`` array.', '', '.. rubric:: Examples', '', '', '>>> import numpy as np', '>>> from astropy.nddata.utils import Cutout2D', '>>> from astropy import units as u', '>>> data = np.arange(20.).reshape(5, 4)', '>>> cutout1 = Cutout2D(data, (2, 2), (3, 3))', '>>> print(cutout1.data)', '[[ 5. 6. 7.]', ' [ 9. 10. 11.]', ' [ 13. 14. 15.]]', '', '>>> print(cutout1.center_original)', '(2.0, 2.0)', '>>> print(cutout1.center_cutout)', '(1.0, 1.0)', '>>> print(cutout1.origin_original)', '(1, 1)', '', '>>> cutout2 = Cutout2D(data, (2, 2), 3)', '>>> print(cutout2.data)', '[[ 5. 6. 7.]', ' [ 9. 10. 11.]', ' [ 13. 14. 15.]]', '', '>>> size = u.Quantity([3, 3], u.pixel)', '>>> cutout3 = Cutout2D(data, (0, 0), size)', '>>> print(cutout3.data)', '[[ 0. 1.]', ' [ 4. 5.]]', '', '>>> cutout4 = Cutout2D(data, (0, 0), (3 * u.pixel, 3))', '>>> print(cutout4.data)', '[[ 0. 1.]', ' [ 4. 5.]]', '', ">>> cutout5 = Cutout2D(data, (0, 0), (3, 3), mode='partial')", '>>> print(cutout5.data)', '[[ nan nan nan]', ' [ nan 0. 1.]', ' [ nan 4. 5.]]', '', '.. rubric:: Attributes', '', '', '', '========================================================== ==========', ' data (2D `~numpy.ndarray`) The 2D cutout array. ', ' shape (2 tuple) The ``(ny, nx)`` shape of the cutout array. ', ' shape_input (2 tuple) The ``(ny, nx)`` shape of the input (original) array. ', ' input_position_cutout (2 tuple) The (unrounded) ``(x, y)`` position with respect to the cutout array. ', ' input_position_original (2 tuple) The original (unrounded) ``(x, y)`` input position (with respect to the original array). ', " slices_original (2 tuple of slice objects) A tuple of slice objects for the minimal bounding box of the cutout with respect to the original array. For ``mode='partial'``, the slices are for the valid (non-filled) cutout values. ", " slices_cutout (2 tuple of slice objects) A tuple of slice objects for the minimal bounding box of the cutout with respect to the cutout array. For ``mode='partial'``, the slices are for the valid (non-filled) cutout values. ", "xmin_original, ymin_original, xmax_original, ymax_original (float) The minimum and maximum ``x`` and ``y`` indices of the minimal rectangular region of the cutout array with respect to the original array. For ``mode='partial'``, the bounding box indices are for the valid (non-filled) cutout values. These values are the same as those in `bbox_original`. ", " xmin_cutout, ymin_cutout, xmax_cutout, ymax_cutout (float) The minimum and maximum ``x`` and ``y`` indices of the minimal rectangular region of the cutout array with respect to the cutout array. For ``mode='partial'``, the bounding box indices are for the valid (non-filled) cutout values. These values are the same as those in `bbox_cutout`. ", ' wcs (`~astropy.wcs.WCS` or `None`) A WCS object associated with the cutout array if a ``wcs`` was input. ', '========================================================== ==========', '', '.. rubric:: Attributes Summary', '', '.. autosummary::', '', ' ~Cutout2D.bbox_cutout', ' ~Cutout2D.bbox_original', ' ~Cutout2D.center_cutout', ' ~Cutout2D.center_original', ' ~Cutout2D.origin_cutout', ' ~Cutout2D.origin_original', ' ~Cutout2D.position_cutout', ' ~Cutout2D.position_original', '', '.. rubric:: Methods Summary', '', '.. autosummary::', '', ' ~Cutout2D.plot_on_original', ' ~Cutout2D.to_cutout_position', ' ~Cutout2D.to_original_position', '', '.. rubric:: Attributes Documentation', '', '.. autoattribute:: bbox_cutout', '.. autoattribute:: bbox_original', '.. autoattribute:: center_cutout', '.. autoattribute:: center_original', '.. autoattribute:: origin_cutout', '.. autoattribute:: origin_original', '.. autoattribute:: position_cutout', '.. autoattribute:: position_original', '', '.. rubric:: Methods Documentation', '', '.. automethod:: plot_on_original', '.. automethod:: to_cutout_position', '.. automethod:: to_original_position']:93: WARNING: py:obj reference target not found: False ["Cutout2D(data, position, size, wcs=None, mode='trim', fill_value=nan, copy=False)", ':module: astropy.nddata', '', 'Bases: :class:`object`', '', '', '', 'Create a cutout object from a 2D array.', '', 'The returned object will contain a 2D cutout array. If', '``copy=False`` (default), the cutout array is a view into the', 'original ``data`` array, otherwise the cutout array will contain a', 'copy of the original data.', '', 'If a `~astropy.wcs.WCS` object is input, then the returned object', 'will also contain a copy of the original WCS, but updated for the', 'cutout array.', '', 'For example usage, see :ref:`cutout_images`.', '', '.. warning::', '', ' The cutout WCS object does not currently handle cases where the', ' input WCS object contains distortion lookup tables described in', ' the `FITS WCS distortion paper', ' `__.', '', ':Parameters:', '', ' **data** : `~numpy.ndarray`', '', ' The 2D data array from which to extract the cutout array.', ' ', '', ' **position** : tuple or `~astropy.coordinates.SkyCoord`', '', " The position of the cutout array's center with respect to", ' the ``data`` array. The position can be specified either as', ' a ``(x, y)`` tuple of pixel coordinates or a', ' `~astropy.coordinates.SkyCoord`, in which case ``wcs`` is a', ' required input.', ' ', '', ' **size** : int, array-like, `~astropy.units.Quantity`', '', ' The size of the cutout array along each axis. If ``size``', ' is a scalar number or a scalar `~astropy.units.Quantity`,', ' then a square cutout of ``size`` will be created. If', ' ``size`` has two elements, they should be in ``(ny, nx)``', ' order. Scalar numbers in ``size`` are assumed to be in', ' units of pixels. ``size`` can also be a', ' `~astropy.units.Quantity` object or contain', ' `~astropy.units.Quantity` objects. Such', ' `~astropy.units.Quantity` objects must be in pixel or', ' angular units. For all cases, ``size`` will be converted to', ' an integer number of pixels, rounding the the nearest', ' integer. See the ``mode`` keyword for additional details on', ' the final cutout size.', ' ', ' .. note::', ' If ``size`` is in angular units, the cutout size is', ' converted to pixels using the pixel scales along each', ' axis of the image at the ``CRPIX`` location. Projection', ' and other non-linear distortions are not taken into', ' account.', ' ', '', ' **wcs** : `~astropy.wcs.WCS`, optional', '', ' A WCS object associated with the input ``data`` array. If', ' ``wcs`` is not `None`, then the returned cutout object will', ' contain a copy of the updated WCS for the cutout data array.', ' ', '', " **mode** : {'trim', 'partial', 'strict'}, optional", '', ' The mode used for creating the cutout data array. For the', " ``'partial'`` and ``'trim'`` modes, a partial overlap of the", ' cutout array and the input ``data`` array is sufficient.', " For the ``'strict'`` mode, the cutout array has to be fully", ' contained within the ``data`` array, otherwise an', ' `~astropy.nddata.utils.PartialOverlapError` is raised. In', ' all modes, non-overlapping arrays will raise a', " `~astropy.nddata.utils.NoOverlapError`. In ``'partial'``", ' mode, positions in the cutout array that do not overlap with', ' the ``data`` array will be filled with ``fill_value``. In', " ``'trim'`` mode only the overlapping elements are returned,", ' thus the resulting cutout array may be smaller than the', ' requested ``shape``.', ' ', '', ' **fill_value** : number, optional', '', " If ``mode='partial'``, the value to fill pixels in the", ' cutout array that do not overlap with the input ``data``.', ' ``fill_value`` must have the same ``dtype`` as the input', ' ``data`` array.', ' ', '', ' **copy** : bool, optional', '', ' If `False` (default), then the cutout data will be a view', ' into the original ``data`` array. If `True`, then the', ' cutout data will hold a copy of the original ``data`` array.', '', '.. rubric:: Examples', '', '', '>>> import numpy as np', '>>> from astropy.nddata.utils import Cutout2D', '>>> from astropy import units as u', '>>> data = np.arange(20.).reshape(5, 4)', '>>> cutout1 = Cutout2D(data, (2, 2), (3, 3))', '>>> print(cutout1.data)', '[[ 5. 6. 7.]', ' [ 9. 10. 11.]', ' [ 13. 14. 15.]]', '', '>>> print(cutout1.center_original)', '(2.0, 2.0)', '>>> print(cutout1.center_cutout)', '(1.0, 1.0)', '>>> print(cutout1.origin_original)', '(1, 1)', '', '>>> cutout2 = Cutout2D(data, (2, 2), 3)', '>>> print(cutout2.data)', '[[ 5. 6. 7.]', ' [ 9. 10. 11.]', ' [ 13. 14. 15.]]', '', '>>> size = u.Quantity([3, 3], u.pixel)', '>>> cutout3 = Cutout2D(data, (0, 0), size)', '>>> print(cutout3.data)', '[[ 0. 1.]', ' [ 4. 5.]]', '', '>>> cutout4 = Cutout2D(data, (0, 0), (3 * u.pixel, 3))', '>>> print(cutout4.data)', '[[ 0. 1.]', ' [ 4. 5.]]', '', ">>> cutout5 = Cutout2D(data, (0, 0), (3, 3), mode='partial')", '>>> print(cutout5.data)', '[[ nan nan nan]', ' [ nan 0. 1.]', ' [ nan 4. 5.]]', '', '.. rubric:: Attributes', '', '', '', '========================================================== ==========', ' data (2D `~numpy.ndarray`) The 2D cutout array. ', ' shape (2 tuple) The ``(ny, nx)`` shape of the cutout array. ', ' shape_input (2 tuple) The ``(ny, nx)`` shape of the input (original) array. ', ' input_position_cutout (2 tuple) The (unrounded) ``(x, y)`` position with respect to the cutout array. ', ' input_position_original (2 tuple) The original (unrounded) ``(x, y)`` input position (with respect to the original array). ', " slices_original (2 tuple of slice objects) A tuple of slice objects for the minimal bounding box of the cutout with respect to the original array. For ``mode='partial'``, the slices are for the valid (non-filled) cutout values. ", " slices_cutout (2 tuple of slice objects) A tuple of slice objects for the minimal bounding box of the cutout with respect to the cutout array. For ``mode='partial'``, the slices are for the valid (non-filled) cutout values. ", "xmin_original, ymin_original, xmax_original, ymax_original (float) The minimum and maximum ``x`` and ``y`` indices of the minimal rectangular region of the cutout array with respect to the original array. For ``mode='partial'``, the bounding box indices are for the valid (non-filled) cutout values. These values are the same as those in `bbox_original`. ", " xmin_cutout, ymin_cutout, xmax_cutout, ymax_cutout (float) The minimum and maximum ``x`` and ``y`` indices of the minimal rectangular region of the cutout array with respect to the cutout array. For ``mode='partial'``, the bounding box indices are for the valid (non-filled) cutout values. These values are the same as those in `bbox_cutout`. ", ' wcs (`~astropy.wcs.WCS` or `None`) A WCS object associated with the cutout array if a ``wcs`` was input. ', '========================================================== ==========', '', '.. rubric:: Attributes Summary', '', '.. autosummary::', '', ' ~Cutout2D.bbox_cutout', ' ~Cutout2D.bbox_original', ' ~Cutout2D.center_cutout', ' ~Cutout2D.center_original', ' ~Cutout2D.origin_cutout', ' ~Cutout2D.origin_original', ' ~Cutout2D.position_cutout', ' ~Cutout2D.position_original', '', '.. rubric:: Methods Summary', '', '.. autosummary::', '', ' ~Cutout2D.plot_on_original', ' ~Cutout2D.to_cutout_position', ' ~Cutout2D.to_original_position', '', '.. rubric:: Attributes Documentation', '', '.. autoattribute:: bbox_cutout', '.. autoattribute:: bbox_original', '.. autoattribute:: center_cutout', '.. autoattribute:: center_original', '.. autoattribute:: origin_cutout', '.. autoattribute:: origin_original', '.. autoattribute:: position_cutout', '.. autoattribute:: position_original', '', '.. rubric:: Methods Documentation', '', '.. automethod:: plot_on_original', '.. automethod:: to_cutout_position', '.. automethod:: to_original_position']:93: WARNING: py:obj reference target not found: True ["Cutout2D(data, position, size, wcs=None, mode='trim', fill_value=nan, copy=False)", ':module: astropy.nddata', '', 'Bases: :class:`object`', '', '', '', 'Create a cutout object from a 2D array.', '', 'The returned object will contain a 2D cutout array. If', '``copy=False`` (default), the cutout array is a view into the', 'original ``data`` array, otherwise the cutout array will contain a', 'copy of the original data.', '', 'If a `~astropy.wcs.WCS` object is input, then the returned object', 'will also contain a copy of the original WCS, but updated for the', 'cutout array.', '', 'For example usage, see :ref:`cutout_images`.', '', '.. warning::', '', ' The cutout WCS object does not currently handle cases where the', ' input WCS object contains distortion lookup tables described in', ' the `FITS WCS distortion paper', ' `__.', '', ':Parameters:', '', ' **data** : `~numpy.ndarray`', '', ' The 2D data array from which to extract the cutout array.', ' ', '', ' **position** : tuple or `~astropy.coordinates.SkyCoord`', '', " The position of the cutout array's center with respect to", ' the ``data`` array. The position can be specified either as', ' a ``(x, y)`` tuple of pixel coordinates or a', ' `~astropy.coordinates.SkyCoord`, in which case ``wcs`` is a', ' required input.', ' ', '', ' **size** : int, array-like, `~astropy.units.Quantity`', '', ' The size of the cutout array along each axis. If ``size``', ' is a scalar number or a scalar `~astropy.units.Quantity`,', ' then a square cutout of ``size`` will be created. If', ' ``size`` has two elements, they should be in ``(ny, nx)``', ' order. Scalar numbers in ``size`` are assumed to be in', ' units of pixels. ``size`` can also be a', ' `~astropy.units.Quantity` object or contain', ' `~astropy.units.Quantity` objects. Such', ' `~astropy.units.Quantity` objects must be in pixel or', ' angular units. For all cases, ``size`` will be converted to', ' an integer number of pixels, rounding the the nearest', ' integer. See the ``mode`` keyword for additional details on', ' the final cutout size.', ' ', ' .. note::', ' If ``size`` is in angular units, the cutout size is', ' converted to pixels using the pixel scales along each', ' axis of the image at the ``CRPIX`` location. Projection', ' and other non-linear distortions are not taken into', ' account.', ' ', '', ' **wcs** : `~astropy.wcs.WCS`, optional', '', ' A WCS object associated with the input ``data`` array. If', ' ``wcs`` is not `None`, then the returned cutout object will', ' contain a copy of the updated WCS for the cutout data array.', ' ', '', " **mode** : {'trim', 'partial', 'strict'}, optional", '', ' The mode used for creating the cutout data array. For the', " ``'partial'`` and ``'trim'`` modes, a partial overlap of the", ' cutout array and the input ``data`` array is sufficient.', " For the ``'strict'`` mode, the cutout array has to be fully", ' contained within the ``data`` array, otherwise an', ' `~astropy.nddata.utils.PartialOverlapError` is raised. In', ' all modes, non-overlapping arrays will raise a', " `~astropy.nddata.utils.NoOverlapError`. In ``'partial'``", ' mode, positions in the cutout array that do not overlap with', ' the ``data`` array will be filled with ``fill_value``. In', " ``'trim'`` mode only the overlapping elements are returned,", ' thus the resulting cutout array may be smaller than the', ' requested ``shape``.', ' ', '', ' **fill_value** : number, optional', '', " If ``mode='partial'``, the value to fill pixels in the", ' cutout array that do not overlap with the input ``data``.', ' ``fill_value`` must have the same ``dtype`` as the input', ' ``data`` array.', ' ', '', ' **copy** : bool, optional', '', ' If `False` (default), then the cutout data will be a view', ' into the original ``data`` array. If `True`, then the', ' cutout data will hold a copy of the original ``data`` array.', '', '.. rubric:: Examples', '', '', '>>> import numpy as np', '>>> from astropy.nddata.utils import Cutout2D', '>>> from astropy import units as u', '>>> data = np.arange(20.).reshape(5, 4)', '>>> cutout1 = Cutout2D(data, (2, 2), (3, 3))', '>>> print(cutout1.data)', '[[ 5. 6. 7.]', ' [ 9. 10. 11.]', ' [ 13. 14. 15.]]', '', '>>> print(cutout1.center_original)', '(2.0, 2.0)', '>>> print(cutout1.center_cutout)', '(1.0, 1.0)', '>>> print(cutout1.origin_original)', '(1, 1)', '', '>>> cutout2 = Cutout2D(data, (2, 2), 3)', '>>> print(cutout2.data)', '[[ 5. 6. 7.]', ' [ 9. 10. 11.]', ' [ 13. 14. 15.]]', '', '>>> size = u.Quantity([3, 3], u.pixel)', '>>> cutout3 = Cutout2D(data, (0, 0), size)', '>>> print(cutout3.data)', '[[ 0. 1.]', ' [ 4. 5.]]', '', '>>> cutout4 = Cutout2D(data, (0, 0), (3 * u.pixel, 3))', '>>> print(cutout4.data)', '[[ 0. 1.]', ' [ 4. 5.]]', '', ">>> cutout5 = Cutout2D(data, (0, 0), (3, 3), mode='partial')", '>>> print(cutout5.data)', '[[ nan nan nan]', ' [ nan 0. 1.]', ' [ nan 4. 5.]]', '', '.. rubric:: Attributes', '', '', '', '========================================================== ==========', ' data (2D `~numpy.ndarray`) The 2D cutout array. ', ' shape (2 tuple) The ``(ny, nx)`` shape of the cutout array. ', ' shape_input (2 tuple) The ``(ny, nx)`` shape of the input (original) array. ', ' input_position_cutout (2 tuple) The (unrounded) ``(x, y)`` position with respect to the cutout array. ', ' input_position_original (2 tuple) The original (unrounded) ``(x, y)`` input position (with respect to the original array). ', " slices_original (2 tuple of slice objects) A tuple of slice objects for the minimal bounding box of the cutout with respect to the original array. For ``mode='partial'``, the slices are for the valid (non-filled) cutout values. ", " slices_cutout (2 tuple of slice objects) A tuple of slice objects for the minimal bounding box of the cutout with respect to the cutout array. For ``mode='partial'``, the slices are for the valid (non-filled) cutout values. ", "xmin_original, ymin_original, xmax_original, ymax_original (float) The minimum and maximum ``x`` and ``y`` indices of the minimal rectangular region of the cutout array with respect to the original array. For ``mode='partial'``, the bounding box indices are for the valid (non-filled) cutout values. These values are the same as those in `bbox_original`. ", " xmin_cutout, ymin_cutout, xmax_cutout, ymax_cutout (float) The minimum and maximum ``x`` and ``y`` indices of the minimal rectangular region of the cutout array with respect to the cutout array. For ``mode='partial'``, the bounding box indices are for the valid (non-filled) cutout values. These values are the same as those in `bbox_cutout`. ", ' wcs (`~astropy.wcs.WCS` or `None`) A WCS object associated with the cutout array if a ``wcs`` was input. ', '========================================================== ==========', '', '.. rubric:: Attributes Summary', '', '.. autosummary::', '', ' ~Cutout2D.bbox_cutout', ' ~Cutout2D.bbox_original', ' ~Cutout2D.center_cutout', ' ~Cutout2D.center_original', ' ~Cutout2D.origin_cutout', ' ~Cutout2D.origin_original', ' ~Cutout2D.position_cutout', ' ~Cutout2D.position_original', '', '.. rubric:: Methods Summary', '', '.. autosummary::', '', ' ~Cutout2D.plot_on_original', ' ~Cutout2D.to_cutout_position', ' ~Cutout2D.to_original_position', '', '.. rubric:: Attributes Documentation', '', '.. autoattribute:: bbox_cutout', '.. autoattribute:: bbox_original', '.. autoattribute:: center_cutout', '.. autoattribute:: center_original', '.. autoattribute:: origin_cutout', '.. autoattribute:: origin_original', '.. autoattribute:: position_cutout', '.. autoattribute:: position_original', '', '.. rubric:: Methods Documentation', '', '.. automethod:: plot_on_original', '.. automethod:: to_cutout_position', '.. automethod:: to_original_position']:142: WARNING: py:obj reference target not found: numpy.ndarray ["Cutout2D(data, position, size, wcs=None, mode='trim', fill_value=nan, copy=False)", ':module: astropy.nddata', '', 'Bases: :class:`object`', '', '', '', 'Create a cutout object from a 2D array.', '', 'The returned object will contain a 2D cutout array. If', '``copy=False`` (default), the cutout array is a view into the', 'original ``data`` array, otherwise the cutout array will contain a', 'copy of the original data.', '', 'If a `~astropy.wcs.WCS` object is input, then the returned object', 'will also contain a copy of the original WCS, but updated for the', 'cutout array.', '', 'For example usage, see :ref:`cutout_images`.', '', '.. warning::', '', ' The cutout WCS object does not currently handle cases where the', ' input WCS object contains distortion lookup tables described in', ' the `FITS WCS distortion paper', ' `__.', '', ':Parameters:', '', ' **data** : `~numpy.ndarray`', '', ' The 2D data array from which to extract the cutout array.', ' ', '', ' **position** : tuple or `~astropy.coordinates.SkyCoord`', '', " The position of the cutout array's center with respect to", ' the ``data`` array. The position can be specified either as', ' a ``(x, y)`` tuple of pixel coordinates or a', ' `~astropy.coordinates.SkyCoord`, in which case ``wcs`` is a', ' required input.', ' ', '', ' **size** : int, array-like, `~astropy.units.Quantity`', '', ' The size of the cutout array along each axis. If ``size``', ' is a scalar number or a scalar `~astropy.units.Quantity`,', ' then a square cutout of ``size`` will be created. If', ' ``size`` has two elements, they should be in ``(ny, nx)``', ' order. Scalar numbers in ``size`` are assumed to be in', ' units of pixels. ``size`` can also be a', ' `~astropy.units.Quantity` object or contain', ' `~astropy.units.Quantity` objects. Such', ' `~astropy.units.Quantity` objects must be in pixel or', ' angular units. For all cases, ``size`` will be converted to', ' an integer number of pixels, rounding the the nearest', ' integer. See the ``mode`` keyword for additional details on', ' the final cutout size.', ' ', ' .. note::', ' If ``size`` is in angular units, the cutout size is', ' converted to pixels using the pixel scales along each', ' axis of the image at the ``CRPIX`` location. Projection', ' and other non-linear distortions are not taken into', ' account.', ' ', '', ' **wcs** : `~astropy.wcs.WCS`, optional', '', ' A WCS object associated with the input ``data`` array. If', ' ``wcs`` is not `None`, then the returned cutout object will', ' contain a copy of the updated WCS for the cutout data array.', ' ', '', " **mode** : {'trim', 'partial', 'strict'}, optional", '', ' The mode used for creating the cutout data array. For the', " ``'partial'`` and ``'trim'`` modes, a partial overlap of the", ' cutout array and the input ``data`` array is sufficient.', " For the ``'strict'`` mode, the cutout array has to be fully", ' contained within the ``data`` array, otherwise an', ' `~astropy.nddata.utils.PartialOverlapError` is raised. In', ' all modes, non-overlapping arrays will raise a', " `~astropy.nddata.utils.NoOverlapError`. In ``'partial'``", ' mode, positions in the cutout array that do not overlap with', ' the ``data`` array will be filled with ``fill_value``. In', " ``'trim'`` mode only the overlapping elements are returned,", ' thus the resulting cutout array may be smaller than the', ' requested ``shape``.', ' ', '', ' **fill_value** : number, optional', '', " If ``mode='partial'``, the value to fill pixels in the", ' cutout array that do not overlap with the input ``data``.', ' ``fill_value`` must have the same ``dtype`` as the input', ' ``data`` array.', ' ', '', ' **copy** : bool, optional', '', ' If `False` (default), then the cutout data will be a view', ' into the original ``data`` array. If `True`, then the', ' cutout data will hold a copy of the original ``data`` array.', '', '.. rubric:: Examples', '', '', '>>> import numpy as np', '>>> from astropy.nddata.utils import Cutout2D', '>>> from astropy import units as u', '>>> data = np.arange(20.).reshape(5, 4)', '>>> cutout1 = Cutout2D(data, (2, 2), (3, 3))', '>>> print(cutout1.data)', '[[ 5. 6. 7.]', ' [ 9. 10. 11.]', ' [ 13. 14. 15.]]', '', '>>> print(cutout1.center_original)', '(2.0, 2.0)', '>>> print(cutout1.center_cutout)', '(1.0, 1.0)', '>>> print(cutout1.origin_original)', '(1, 1)', '', '>>> cutout2 = Cutout2D(data, (2, 2), 3)', '>>> print(cutout2.data)', '[[ 5. 6. 7.]', ' [ 9. 10. 11.]', ' [ 13. 14. 15.]]', '', '>>> size = u.Quantity([3, 3], u.pixel)', '>>> cutout3 = Cutout2D(data, (0, 0), size)', '>>> print(cutout3.data)', '[[ 0. 1.]', ' [ 4. 5.]]', '', '>>> cutout4 = Cutout2D(data, (0, 0), (3 * u.pixel, 3))', '>>> print(cutout4.data)', '[[ 0. 1.]', ' [ 4. 5.]]', '', ">>> cutout5 = Cutout2D(data, (0, 0), (3, 3), mode='partial')", '>>> print(cutout5.data)', '[[ nan nan nan]', ' [ nan 0. 1.]', ' [ nan 4. 5.]]', '', '.. rubric:: Attributes', '', '', '', '========================================================== ==========', ' data (2D `~numpy.ndarray`) The 2D cutout array. ', ' shape (2 tuple) The ``(ny, nx)`` shape of the cutout array. ', ' shape_input (2 tuple) The ``(ny, nx)`` shape of the input (original) array. ', ' input_position_cutout (2 tuple) The (unrounded) ``(x, y)`` position with respect to the cutout array. ', ' input_position_original (2 tuple) The original (unrounded) ``(x, y)`` input position (with respect to the original array). ', " slices_original (2 tuple of slice objects) A tuple of slice objects for the minimal bounding box of the cutout with respect to the original array. For ``mode='partial'``, the slices are for the valid (non-filled) cutout values. ", " slices_cutout (2 tuple of slice objects) A tuple of slice objects for the minimal bounding box of the cutout with respect to the cutout array. For ``mode='partial'``, the slices are for the valid (non-filled) cutout values. ", "xmin_original, ymin_original, xmax_original, ymax_original (float) The minimum and maximum ``x`` and ``y`` indices of the minimal rectangular region of the cutout array with respect to the original array. For ``mode='partial'``, the bounding box indices are for the valid (non-filled) cutout values. These values are the same as those in `bbox_original`. ", " xmin_cutout, ymin_cutout, xmax_cutout, ymax_cutout (float) The minimum and maximum ``x`` and ``y`` indices of the minimal rectangular region of the cutout array with respect to the cutout array. For ``mode='partial'``, the bounding box indices are for the valid (non-filled) cutout values. These values are the same as those in `bbox_cutout`. ", ' wcs (`~astropy.wcs.WCS` or `None`) A WCS object associated with the cutout array if a ``wcs`` was input. ', '========================================================== ==========', '', '.. rubric:: Attributes Summary', '', '.. autosummary::', '', ' ~Cutout2D.bbox_cutout', ' ~Cutout2D.bbox_original', ' ~Cutout2D.center_cutout', ' ~Cutout2D.center_original', ' ~Cutout2D.origin_cutout', ' ~Cutout2D.origin_original', ' ~Cutout2D.position_cutout', ' ~Cutout2D.position_original', '', '.. rubric:: Methods Summary', '', '.. autosummary::', '', ' ~Cutout2D.plot_on_original', ' ~Cutout2D.to_cutout_position', ' ~Cutout2D.to_original_position', '', '.. rubric:: Attributes Documentation', '', '.. autoattribute:: bbox_cutout', '.. autoattribute:: bbox_original', '.. autoattribute:: center_cutout', '.. autoattribute:: center_original', '.. autoattribute:: origin_cutout', '.. autoattribute:: origin_original', '.. autoattribute:: position_cutout', '.. autoattribute:: position_original', '', '.. rubric:: Methods Documentation', '', '.. automethod:: plot_on_original', '.. automethod:: to_cutout_position', '.. automethod:: to_original_position']:151: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.nddata.Cutout2D.rst:13: WARNING: py:obj reference target not found: matplotlib.axes.Axes /<>/docs/api/astropy.nddata.Cutout2D.rst:15: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.nddata.Cutout2D.rst:15: WARNING: py:obj reference target not found: matplotlib.axes.Axes /<>/docs/api/astropy.nddata.Cutout2D.rst:20: WARNING: py:obj reference target not found: False /<>/docs/api/astropy.nddata.Cutout2D.rst:25: WARNING: py:obj reference target not found: matplotlib.patches.Patch /<>/docs/api/astropy.nddata.Cutout2D.rst:29: WARNING: py:obj reference target not found: matplotlib.axes.Axes /<>/docs/api/astropy.nddata.FlagCollection.rst:7: WARNING: py:class reference target not found: collections.OrderedDict /<>/docs/api/astropy.nddata.FlagCollection.rst:15: WARNING: py:obj reference target not found: collections.OrderedDict /<>/docs/api/astropy.nddata.NDArithmeticMixin.rst:7: WARNING: py:class reference target not found: object /<>/docs/api/astropy.nddata.NDArithmeticMixin.rst:21: WARNING: py:obj reference target not found: bool ['NDArithmeticMixin.add(operand, operand2=None, **kwargs)', ':module: astropy.nddata', '', '', '', 'Performs addition by evaluating ``self`` + ``operand``.', '', '', ':Parameters:', '', ' **operand, operand2** : `NDData`-like instance or convertible to one.', '', ' If ``operand2`` is ``None`` or not given it will perform the operation', ' ``self`` + ``operand``.', ' If ``operand2`` is given it will perform ``operand`` + ``operand2``.', ' If the method was called on a class rather than on the instance', ' ``operand2`` must be given.', ' ', '', ' **propagate_uncertainties** : `bool` or ``None``, optional', '', ' If ``None`` the result will have no uncertainty. If ``False`` the', ' result will have a copied version of the first operand that has an', ' uncertainty. If ``True`` the result will have a correctly propagated', ' uncertainty from the uncertainties of the operands but this assumes', ' that the uncertainties are `NDUncertainty`-like. Default is ``True``.', ' ', ' .. versionchanged:: 1.2', ' This parameter must be given as keyword-parameter. Using it as', ' positional parameter is deprecated.', ' ``None`` was added as valid parameter value.', ' ', '', " **handle_mask** : callable, ``'first_found'`` or ``None``, optional", '', " If ``None`` the result will have no mask. If ``'first_found'`` the", ' result will have a copied version of the first operand that has a', ' mask). If it is a callable then the specified callable must', ' create the results ``mask`` and if necessary provide a copy.', ' Default is `numpy.logical_or`.', ' ', ' .. versionadded:: 1.2', ' ', '', " **handle_meta** : callable, ``'first_found'`` or ``None``, optional", '', " If ``None`` the result will have no meta. If ``'first_found'`` the", ' result will have a copied version of the first operand that has a', ' (not empty) meta. If it is a callable then the specified callable must', ' create the results ``meta`` and if necessary provide a copy.', ' Default is ``None``.', ' ', ' .. versionadded:: 1.2', ' ', '', " **compare_wcs** : callable, ``'first_found'`` or ``None``, optional", '', ' If ``None`` the result will have no wcs and no comparison between', " the wcs of the operands is made. If ``'first_found'`` the", ' result will have a copied version of the first operand that has a', ' wcs. If it is a callable then the specified callable must', ' compare the ``wcs``. The resulting ``wcs`` will be like if ``False``', ' was given otherwise it raises a ``ValueError`` if the comparison was', " not successful. Default is ``'first_found'``.", ' ', ' .. versionadded:: 1.2', ' ', '', ' **uncertainty_correlation** : number or `~numpy.ndarray`, optional', '', ' The correlation between the two operands is used for correct error', ' propagation for correlated data as given in:', ' https://en.wikipedia.org/wiki/Propagation_of_uncertainty#Example_formulas', ' Default is 0.', ' ', ' .. versionadded:: 1.2', ' ', '', ' **kwargs :**', '', ' Any other parameter that should be passed to the callables used.', '', ':Returns:', '', ' **result** : `~astropy.nddata.NDData`-like', '', ' The resulting dataset', '', '.. rubric:: Notes', '', '', 'If a ``callable`` is used for ``mask``, ``wcs`` or ``meta`` the', 'callable must accept the corresponding attributes as first two', 'parameters. If the callable also needs additional parameters these can be', 'defined as ``kwargs`` and must start with ``"wcs_"`` (for wcs callable) or', '``"meta_"`` (for meta callable). This startstring is removed before the', 'callable is called.', '', '``"first_found"`` can also be abbreviated with ``"ff"``.']:30: WARNING: py:obj reference target not found: numpy.logical_or ['NDArithmeticMixin.add(operand, operand2=None, **kwargs)', ':module: astropy.nddata', '', '', '', 'Performs addition by evaluating ``self`` + ``operand``.', '', '', ':Parameters:', '', ' **operand, operand2** : `NDData`-like instance or convertible to one.', '', ' If ``operand2`` is ``None`` or not given it will perform the operation', ' ``self`` + ``operand``.', ' If ``operand2`` is given it will perform ``operand`` + ``operand2``.', ' If the method was called on a class rather than on the instance', ' ``operand2`` must be given.', ' ', '', ' **propagate_uncertainties** : `bool` or ``None``, optional', '', ' If ``None`` the result will have no uncertainty. If ``False`` the', ' result will have a copied version of the first operand that has an', ' uncertainty. If ``True`` the result will have a correctly propagated', ' uncertainty from the uncertainties of the operands but this assumes', ' that the uncertainties are `NDUncertainty`-like. Default is ``True``.', ' ', ' .. versionchanged:: 1.2', ' This parameter must be given as keyword-parameter. Using it as', ' positional parameter is deprecated.', ' ``None`` was added as valid parameter value.', ' ', '', " **handle_mask** : callable, ``'first_found'`` or ``None``, optional", '', " If ``None`` the result will have no mask. If ``'first_found'`` the", ' result will have a copied version of the first operand that has a', ' mask). If it is a callable then the specified callable must', ' create the results ``mask`` and if necessary provide a copy.', ' Default is `numpy.logical_or`.', ' ', ' .. versionadded:: 1.2', ' ', '', " **handle_meta** : callable, ``'first_found'`` or ``None``, optional", '', " If ``None`` the result will have no meta. If ``'first_found'`` the", ' result will have a copied version of the first operand that has a', ' (not empty) meta. If it is a callable then the specified callable must', ' create the results ``meta`` and if necessary provide a copy.', ' Default is ``None``.', ' ', ' .. versionadded:: 1.2', ' ', '', " **compare_wcs** : callable, ``'first_found'`` or ``None``, optional", '', ' If ``None`` the result will have no wcs and no comparison between', " the wcs of the operands is made. If ``'first_found'`` the", ' result will have a copied version of the first operand that has a', ' wcs. If it is a callable then the specified callable must', ' compare the ``wcs``. The resulting ``wcs`` will be like if ``False``', ' was given otherwise it raises a ``ValueError`` if the comparison was', " not successful. Default is ``'first_found'``.", ' ', ' .. versionadded:: 1.2', ' ', '', ' **uncertainty_correlation** : number or `~numpy.ndarray`, optional', '', ' The correlation between the two operands is used for correct error', ' propagation for correlated data as given in:', ' https://en.wikipedia.org/wiki/Propagation_of_uncertainty#Example_formulas', ' Default is 0.', ' ', ' .. versionadded:: 1.2', ' ', '', ' **kwargs :**', '', ' Any other parameter that should be passed to the callables used.', '', ':Returns:', '', ' **result** : `~astropy.nddata.NDData`-like', '', ' The resulting dataset', '', '.. rubric:: Notes', '', '', 'If a ``callable`` is used for ``mask``, ``wcs`` or ``meta`` the', 'callable must accept the corresponding attributes as first two', 'parameters. If the callable also needs additional parameters these can be', 'defined as ``kwargs`` and must start with ``"wcs_"`` (for wcs callable) or', '``"meta_"`` (for meta callable). This startstring is removed before the', 'callable is called.', '', '``"first_found"`` can also be abbreviated with ``"ff"``.']:60: WARNING: py:obj reference target not found: numpy.ndarray /<>/docs/api/astropy.nddata.NDArithmeticMixin.rst:21: WARNING: py:obj reference target not found: bool ['NDArithmeticMixin.divide(operand, operand2=None, **kwargs)', ':module: astropy.nddata', '', '', '', 'Performs division by evaluating ``self`` / ``operand``.', '', '', ':Parameters:', '', ' **operand, operand2** : `NDData`-like instance or convertible to one.', '', ' If ``operand2`` is ``None`` or not given it will perform the operation', ' ``self`` / ``operand``.', ' If ``operand2`` is given it will perform ``operand`` / ``operand2``.', ' If the method was called on a class rather than on the instance', ' ``operand2`` must be given.', ' ', '', ' **propagate_uncertainties** : `bool` or ``None``, optional', '', ' If ``None`` the result will have no uncertainty. If ``False`` the', ' result will have a copied version of the first operand that has an', ' uncertainty. If ``True`` the result will have a correctly propagated', ' uncertainty from the uncertainties of the operands but this assumes', ' that the uncertainties are `NDUncertainty`-like. Default is ``True``.', ' ', ' .. versionchanged:: 1.2', ' This parameter must be given as keyword-parameter. Using it as', ' positional parameter is deprecated.', ' ``None`` was added as valid parameter value.', ' ', '', " **handle_mask** : callable, ``'first_found'`` or ``None``, optional", '', " If ``None`` the result will have no mask. If ``'first_found'`` the", ' result will have a copied version of the first operand that has a', ' mask). If it is a callable then the specified callable must', ' create the results ``mask`` and if necessary provide a copy.', ' Default is `numpy.logical_or`.', ' ', ' .. versionadded:: 1.2', ' ', '', " **handle_meta** : callable, ``'first_found'`` or ``None``, optional", '', " If ``None`` the result will have no meta. If ``'first_found'`` the", ' result will have a copied version of the first operand that has a', ' (not empty) meta. If it is a callable then the specified callable must', ' create the results ``meta`` and if necessary provide a copy.', ' Default is ``None``.', ' ', ' .. versionadded:: 1.2', ' ', '', " **compare_wcs** : callable, ``'first_found'`` or ``None``, optional", '', ' If ``None`` the result will have no wcs and no comparison between', " the wcs of the operands is made. If ``'first_found'`` the", ' result will have a copied version of the first operand that has a', ' wcs. If it is a callable then the specified callable must', ' compare the ``wcs``. The resulting ``wcs`` will be like if ``False``', ' was given otherwise it raises a ``ValueError`` if the comparison was', " not successful. Default is ``'first_found'``.", ' ', ' .. versionadded:: 1.2', ' ', '', ' **uncertainty_correlation** : number or `~numpy.ndarray`, optional', '', ' The correlation between the two operands is used for correct error', ' propagation for correlated data as given in:', ' https://en.wikipedia.org/wiki/Propagation_of_uncertainty#Example_formulas', ' Default is 0.', ' ', ' .. versionadded:: 1.2', ' ', '', ' **kwargs :**', '', ' Any other parameter that should be passed to the callables used.', '', ':Returns:', '', ' **result** : `~astropy.nddata.NDData`-like', '', ' The resulting dataset', '', '.. rubric:: Notes', '', '', 'If a ``callable`` is used for ``mask``, ``wcs`` or ``meta`` the', 'callable must accept the corresponding attributes as first two', 'parameters. If the callable also needs additional parameters these can be', 'defined as ``kwargs`` and must start with ``"wcs_"`` (for wcs callable) or', '``"meta_"`` (for meta callable). This startstring is removed before the', 'callable is called.', '', '``"first_found"`` can also be abbreviated with ``"ff"``.']:30: WARNING: py:obj reference target not found: numpy.logical_or ['NDArithmeticMixin.divide(operand, operand2=None, **kwargs)', ':module: astropy.nddata', '', '', '', 'Performs division by evaluating ``self`` / ``operand``.', '', '', ':Parameters:', '', ' **operand, operand2** : `NDData`-like instance or convertible to one.', '', ' If ``operand2`` is ``None`` or not given it will perform the operation', ' ``self`` / ``operand``.', ' If ``operand2`` is given it will perform ``operand`` / ``operand2``.', ' If the method was called on a class rather than on the instance', ' ``operand2`` must be given.', ' ', '', ' **propagate_uncertainties** : `bool` or ``None``, optional', '', ' If ``None`` the result will have no uncertainty. If ``False`` the', ' result will have a copied version of the first operand that has an', ' uncertainty. If ``True`` the result will have a correctly propagated', ' uncertainty from the uncertainties of the operands but this assumes', ' that the uncertainties are `NDUncertainty`-like. Default is ``True``.', ' ', ' .. versionchanged:: 1.2', ' This parameter must be given as keyword-parameter. Using it as', ' positional parameter is deprecated.', ' ``None`` was added as valid parameter value.', ' ', '', " **handle_mask** : callable, ``'first_found'`` or ``None``, optional", '', " If ``None`` the result will have no mask. If ``'first_found'`` the", ' result will have a copied version of the first operand that has a', ' mask). If it is a callable then the specified callable must', ' create the results ``mask`` and if necessary provide a copy.', ' Default is `numpy.logical_or`.', ' ', ' .. versionadded:: 1.2', ' ', '', " **handle_meta** : callable, ``'first_found'`` or ``None``, optional", '', " If ``None`` the result will have no meta. If ``'first_found'`` the", ' result will have a copied version of the first operand that has a', ' (not empty) meta. If it is a callable then the specified callable must', ' create the results ``meta`` and if necessary provide a copy.', ' Default is ``None``.', ' ', ' .. versionadded:: 1.2', ' ', '', " **compare_wcs** : callable, ``'first_found'`` or ``None``, optional", '', ' If ``None`` the result will have no wcs and no comparison between', " the wcs of the operands is made. If ``'first_found'`` the", ' result will have a copied version of the first operand that has a', ' wcs. If it is a callable then the specified callable must', ' compare the ``wcs``. The resulting ``wcs`` will be like if ``False``', ' was given otherwise it raises a ``ValueError`` if the comparison was', " not successful. Default is ``'first_found'``.", ' ', ' .. versionadded:: 1.2', ' ', '', ' **uncertainty_correlation** : number or `~numpy.ndarray`, optional', '', ' The correlation between the two operands is used for correct error', ' propagation for correlated data as given in:', ' https://en.wikipedia.org/wiki/Propagation_of_uncertainty#Example_formulas', ' Default is 0.', ' ', ' .. versionadded:: 1.2', ' ', '', ' **kwargs :**', '', ' Any other parameter that should be passed to the callables used.', '', ':Returns:', '', ' **result** : `~astropy.nddata.NDData`-like', '', ' The resulting dataset', '', '.. rubric:: Notes', '', '', 'If a ``callable`` is used for ``mask``, ``wcs`` or ``meta`` the', 'callable must accept the corresponding attributes as first two', 'parameters. If the callable also needs additional parameters these can be', 'defined as ``kwargs`` and must start with ``"wcs_"`` (for wcs callable) or', '``"meta_"`` (for meta callable). This startstring is removed before the', 'callable is called.', '', '``"first_found"`` can also be abbreviated with ``"ff"``.']:60: WARNING: py:obj reference target not found: numpy.ndarray /<>/docs/api/astropy.nddata.NDArithmeticMixin.rst:21: WARNING: py:obj reference target not found: bool ['NDArithmeticMixin.multiply(operand, operand2=None, **kwargs)', ':module: astropy.nddata', '', '', '', 'Performs multiplication by evaluating ``self`` * ``operand``.', '', '', ':Parameters:', '', ' **operand, operand2** : `NDData`-like instance or convertible to one.', '', ' If ``operand2`` is ``None`` or not given it will perform the operation', ' ``self`` * ``operand``.', ' If ``operand2`` is given it will perform ``operand`` * ``operand2``.', ' If the method was called on a class rather than on the instance', ' ``operand2`` must be given.', ' ', '', ' **propagate_uncertainties** : `bool` or ``None``, optional', '', ' If ``None`` the result will have no uncertainty. If ``False`` the', ' result will have a copied version of the first operand that has an', ' uncertainty. If ``True`` the result will have a correctly propagated', ' uncertainty from the uncertainties of the operands but this assumes', ' that the uncertainties are `NDUncertainty`-like. Default is ``True``.', ' ', ' .. versionchanged:: 1.2', ' This parameter must be given as keyword-parameter. Using it as', ' positional parameter is deprecated.', ' ``None`` was added as valid parameter value.', ' ', '', " **handle_mask** : callable, ``'first_found'`` or ``None``, optional", '', " If ``None`` the result will have no mask. If ``'first_found'`` the", ' result will have a copied version of the first operand that has a', ' mask). If it is a callable then the specified callable must', ' create the results ``mask`` and if necessary provide a copy.', ' Default is `numpy.logical_or`.', ' ', ' .. versionadded:: 1.2', ' ', '', " **handle_meta** : callable, ``'first_found'`` or ``None``, optional", '', " If ``None`` the result will have no meta. If ``'first_found'`` the", ' result will have a copied version of the first operand that has a', ' (not empty) meta. If it is a callable then the specified callable must', ' create the results ``meta`` and if necessary provide a copy.', ' Default is ``None``.', ' ', ' .. versionadded:: 1.2', ' ', '', " **compare_wcs** : callable, ``'first_found'`` or ``None``, optional", '', ' If ``None`` the result will have no wcs and no comparison between', " the wcs of the operands is made. If ``'first_found'`` the", ' result will have a copied version of the first operand that has a', ' wcs. If it is a callable then the specified callable must', ' compare the ``wcs``. The resulting ``wcs`` will be like if ``False``', ' was given otherwise it raises a ``ValueError`` if the comparison was', " not successful. Default is ``'first_found'``.", ' ', ' .. versionadded:: 1.2', ' ', '', ' **uncertainty_correlation** : number or `~numpy.ndarray`, optional', '', ' The correlation between the two operands is used for correct error', ' propagation for correlated data as given in:', ' https://en.wikipedia.org/wiki/Propagation_of_uncertainty#Example_formulas', ' Default is 0.', ' ', ' .. versionadded:: 1.2', ' ', '', ' **kwargs :**', '', ' Any other parameter that should be passed to the callables used.', '', ':Returns:', '', ' **result** : `~astropy.nddata.NDData`-like', '', ' The resulting dataset', '', '.. rubric:: Notes', '', '', 'If a ``callable`` is used for ``mask``, ``wcs`` or ``meta`` the', 'callable must accept the corresponding attributes as first two', 'parameters. If the callable also needs additional parameters these can be', 'defined as ``kwargs`` and must start with ``"wcs_"`` (for wcs callable) or', '``"meta_"`` (for meta callable). This startstring is removed before the', 'callable is called.', '', '``"first_found"`` can also be abbreviated with ``"ff"``.']:30: WARNING: py:obj reference target not found: numpy.logical_or ['NDArithmeticMixin.multiply(operand, operand2=None, **kwargs)', ':module: astropy.nddata', '', '', '', 'Performs multiplication by evaluating ``self`` * ``operand``.', '', '', ':Parameters:', '', ' **operand, operand2** : `NDData`-like instance or convertible to one.', '', ' If ``operand2`` is ``None`` or not given it will perform the operation', ' ``self`` * ``operand``.', ' If ``operand2`` is given it will perform ``operand`` * ``operand2``.', ' If the method was called on a class rather than on the instance', ' ``operand2`` must be given.', ' ', '', ' **propagate_uncertainties** : `bool` or ``None``, optional', '', ' If ``None`` the result will have no uncertainty. If ``False`` the', ' result will have a copied version of the first operand that has an', ' uncertainty. If ``True`` the result will have a correctly propagated', ' uncertainty from the uncertainties of the operands but this assumes', ' that the uncertainties are `NDUncertainty`-like. Default is ``True``.', ' ', ' .. versionchanged:: 1.2', ' This parameter must be given as keyword-parameter. Using it as', ' positional parameter is deprecated.', ' ``None`` was added as valid parameter value.', ' ', '', " **handle_mask** : callable, ``'first_found'`` or ``None``, optional", '', " If ``None`` the result will have no mask. If ``'first_found'`` the", ' result will have a copied version of the first operand that has a', ' mask). If it is a callable then the specified callable must', ' create the results ``mask`` and if necessary provide a copy.', ' Default is `numpy.logical_or`.', ' ', ' .. versionadded:: 1.2', ' ', '', " **handle_meta** : callable, ``'first_found'`` or ``None``, optional", '', " If ``None`` the result will have no meta. If ``'first_found'`` the", ' result will have a copied version of the first operand that has a', ' (not empty) meta. If it is a callable then the specified callable must', ' create the results ``meta`` and if necessary provide a copy.', ' Default is ``None``.', ' ', ' .. versionadded:: 1.2', ' ', '', " **compare_wcs** : callable, ``'first_found'`` or ``None``, optional", '', ' If ``None`` the result will have no wcs and no comparison between', " the wcs of the operands is made. If ``'first_found'`` the", ' result will have a copied version of the first operand that has a', ' wcs. If it is a callable then the specified callable must', ' compare the ``wcs``. The resulting ``wcs`` will be like if ``False``', ' was given otherwise it raises a ``ValueError`` if the comparison was', " not successful. Default is ``'first_found'``.", ' ', ' .. versionadded:: 1.2', ' ', '', ' **uncertainty_correlation** : number or `~numpy.ndarray`, optional', '', ' The correlation between the two operands is used for correct error', ' propagation for correlated data as given in:', ' https://en.wikipedia.org/wiki/Propagation_of_uncertainty#Example_formulas', ' Default is 0.', ' ', ' .. versionadded:: 1.2', ' ', '', ' **kwargs :**', '', ' Any other parameter that should be passed to the callables used.', '', ':Returns:', '', ' **result** : `~astropy.nddata.NDData`-like', '', ' The resulting dataset', '', '.. rubric:: Notes', '', '', 'If a ``callable`` is used for ``mask``, ``wcs`` or ``meta`` the', 'callable must accept the corresponding attributes as first two', 'parameters. If the callable also needs additional parameters these can be', 'defined as ``kwargs`` and must start with ``"wcs_"`` (for wcs callable) or', '``"meta_"`` (for meta callable). This startstring is removed before the', 'callable is called.', '', '``"first_found"`` can also be abbreviated with ``"ff"``.']:60: WARNING: py:obj reference target not found: numpy.ndarray /<>/docs/api/astropy.nddata.NDArithmeticMixin.rst:21: WARNING: py:obj reference target not found: bool ['NDArithmeticMixin.subtract(operand, operand2=None, **kwargs)', ':module: astropy.nddata', '', '', '', 'Performs subtraction by evaluating ``self`` - ``operand``.', '', '', ':Parameters:', '', ' **operand, operand2** : `NDData`-like instance or convertible to one.', '', ' If ``operand2`` is ``None`` or not given it will perform the operation', ' ``self`` - ``operand``.', ' If ``operand2`` is given it will perform ``operand`` - ``operand2``.', ' If the method was called on a class rather than on the instance', ' ``operand2`` must be given.', ' ', '', ' **propagate_uncertainties** : `bool` or ``None``, optional', '', ' If ``None`` the result will have no uncertainty. If ``False`` the', ' result will have a copied version of the first operand that has an', ' uncertainty. If ``True`` the result will have a correctly propagated', ' uncertainty from the uncertainties of the operands but this assumes', ' that the uncertainties are `NDUncertainty`-like. Default is ``True``.', ' ', ' .. versionchanged:: 1.2', ' This parameter must be given as keyword-parameter. Using it as', ' positional parameter is deprecated.', ' ``None`` was added as valid parameter value.', ' ', '', " **handle_mask** : callable, ``'first_found'`` or ``None``, optional", '', " If ``None`` the result will have no mask. If ``'first_found'`` the", ' result will have a copied version of the first operand that has a', ' mask). If it is a callable then the specified callable must', ' create the results ``mask`` and if necessary provide a copy.', ' Default is `numpy.logical_or`.', ' ', ' .. versionadded:: 1.2', ' ', '', " **handle_meta** : callable, ``'first_found'`` or ``None``, optional", '', " If ``None`` the result will have no meta. If ``'first_found'`` the", ' result will have a copied version of the first operand that has a', ' (not empty) meta. If it is a callable then the specified callable must', ' create the results ``meta`` and if necessary provide a copy.', ' Default is ``None``.', ' ', ' .. versionadded:: 1.2', ' ', '', " **compare_wcs** : callable, ``'first_found'`` or ``None``, optional", '', ' If ``None`` the result will have no wcs and no comparison between', " the wcs of the operands is made. If ``'first_found'`` the", ' result will have a copied version of the first operand that has a', ' wcs. If it is a callable then the specified callable must', ' compare the ``wcs``. The resulting ``wcs`` will be like if ``False``', ' was given otherwise it raises a ``ValueError`` if the comparison was', " not successful. Default is ``'first_found'``.", ' ', ' .. versionadded:: 1.2', ' ', '', ' **uncertainty_correlation** : number or `~numpy.ndarray`, optional', '', ' The correlation between the two operands is used for correct error', ' propagation for correlated data as given in:', ' https://en.wikipedia.org/wiki/Propagation_of_uncertainty#Example_formulas', ' Default is 0.', ' ', ' .. versionadded:: 1.2', ' ', '', ' **kwargs :**', '', ' Any other parameter that should be passed to the callables used.', '', ':Returns:', '', ' **result** : `~astropy.nddata.NDData`-like', '', ' The resulting dataset', '', '.. rubric:: Notes', '', '', 'If a ``callable`` is used for ``mask``, ``wcs`` or ``meta`` the', 'callable must accept the corresponding attributes as first two', 'parameters. If the callable also needs additional parameters these can be', 'defined as ``kwargs`` and must start with ``"wcs_"`` (for wcs callable) or', '``"meta_"`` (for meta callable). This startstring is removed before the', 'callable is called.', '', '``"first_found"`` can also be abbreviated with ``"ff"``.']:30: WARNING: py:obj reference target not found: numpy.logical_or ['NDArithmeticMixin.subtract(operand, operand2=None, **kwargs)', ':module: astropy.nddata', '', '', '', 'Performs subtraction by evaluating ``self`` - ``operand``.', '', '', ':Parameters:', '', ' **operand, operand2** : `NDData`-like instance or convertible to one.', '', ' If ``operand2`` is ``None`` or not given it will perform the operation', ' ``self`` - ``operand``.', ' If ``operand2`` is given it will perform ``operand`` - ``operand2``.', ' If the method was called on a class rather than on the instance', ' ``operand2`` must be given.', ' ', '', ' **propagate_uncertainties** : `bool` or ``None``, optional', '', ' If ``None`` the result will have no uncertainty. If ``False`` the', ' result will have a copied version of the first operand that has an', ' uncertainty. If ``True`` the result will have a correctly propagated', ' uncertainty from the uncertainties of the operands but this assumes', ' that the uncertainties are `NDUncertainty`-like. Default is ``True``.', ' ', ' .. versionchanged:: 1.2', ' This parameter must be given as keyword-parameter. Using it as', ' positional parameter is deprecated.', ' ``None`` was added as valid parameter value.', ' ', '', " **handle_mask** : callable, ``'first_found'`` or ``None``, optional", '', " If ``None`` the result will have no mask. If ``'first_found'`` the", ' result will have a copied version of the first operand that has a', ' mask). If it is a callable then the specified callable must', ' create the results ``mask`` and if necessary provide a copy.', ' Default is `numpy.logical_or`.', ' ', ' .. versionadded:: 1.2', ' ', '', " **handle_meta** : callable, ``'first_found'`` or ``None``, optional", '', " If ``None`` the result will have no meta. If ``'first_found'`` the", ' result will have a copied version of the first operand that has a', ' (not empty) meta. If it is a callable then the specified callable must', ' create the results ``meta`` and if necessary provide a copy.', ' Default is ``None``.', ' ', ' .. versionadded:: 1.2', ' ', '', " **compare_wcs** : callable, ``'first_found'`` or ``None``, optional", '', ' If ``None`` the result will have no wcs and no comparison between', " the wcs of the operands is made. If ``'first_found'`` the", ' result will have a copied version of the first operand that has a', ' wcs. If it is a callable then the specified callable must', ' compare the ``wcs``. The resulting ``wcs`` will be like if ``False``', ' was given otherwise it raises a ``ValueError`` if the comparison was', " not successful. Default is ``'first_found'``.", ' ', ' .. versionadded:: 1.2', ' ', '', ' **uncertainty_correlation** : number or `~numpy.ndarray`, optional', '', ' The correlation between the two operands is used for correct error', ' propagation for correlated data as given in:', ' https://en.wikipedia.org/wiki/Propagation_of_uncertainty#Example_formulas', ' Default is 0.', ' ', ' .. versionadded:: 1.2', ' ', '', ' **kwargs :**', '', ' Any other parameter that should be passed to the callables used.', '', ':Returns:', '', ' **result** : `~astropy.nddata.NDData`-like', '', ' The resulting dataset', '', '.. rubric:: Notes', '', '', 'If a ``callable`` is used for ``mask``, ``wcs`` or ``meta`` the', 'callable must accept the corresponding attributes as first two', 'parameters. If the callable also needs additional parameters these can be', 'defined as ``kwargs`` and must start with ``"wcs_"`` (for wcs callable) or', '``"meta_"`` (for meta callable). This startstring is removed before the', 'callable is called.', '', '``"first_found"`` can also be abbreviated with ``"ff"``.']:60: WARNING: py:obj reference target not found: numpy.ndarray /<>/docs/api/astropy.nddata.NDData.rst:9: WARNING: py:obj reference target not found: numpy.ndarray /<>/docs/api/astropy.nddata.NDData.rst:12: WARNING: py:obj reference target not found: numpy.ndarray /<>/docs/api/astropy.nddata.NDData.rst:20: WARNING: py:obj reference target not found: numpy.ndarray ['NDData(data, uncertainty=None, mask=None, wcs=None, meta=None, unit=None, copy=False)', ':module: astropy.nddata', '', 'Bases: :class:`astropy.nddata.nddata_base.NDDataBase`', '', '', '', 'A container for `numpy.ndarray`-based datasets, using the', '`~astropy.nddata.NDDataBase` interface.', '', 'The key distinction from raw `numpy.ndarray` is the presence of', 'additional metadata such as uncertainty, mask, unit, a coordinate system', 'and/or a dictionary containing further meta information. This class *only*', 'provides a container for *storing* such datasets. For further functionality', 'take a look at the ``See also`` section.', '', ':Parameters:', '', ' **data** : `numpy.ndarray`-like or `NDData`-like', '', ' The dataset.', ' ', '', ' **uncertainty** : any type, optional', '', ' Uncertainty in the dataset.', ' Should have an attribute ``uncertainty_type`` that defines what kind of', ' uncertainty is stored, for example ``"std"`` for standard deviation or', ' ``"var"`` for variance. A metaclass defining such an interface is', " `NDUncertainty` - but isn't mandatory. If the uncertainty has no such", ' attribute the uncertainty is stored as `UnknownUncertainty`.', ' Defaults to ``None``.', ' ', '', ' **mask** : any type, optional', '', ' Mask for the dataset. Masks should follow the ``numpy`` convention that', ' **valid** data points are marked by ``False`` and **invalid** ones with', ' ``True``.', ' Defaults to ``None``.', ' ', '', ' **wcs** : any type, optional', '', ' World coordinate system (WCS) for the dataset.', ' Default is ``None``.', ' ', '', ' **meta** : `dict`-like object, optional', '', ' Additional meta information about the dataset. If no meta is provided', ' an empty `collections.OrderedDict` is created.', ' Default is ``None``.', ' ', '', ' **unit** : `~astropy.units.Unit`-like or str, optional', '', ' Unit for the dataset. Strings that can be converted to a', ' `~astropy.units.Unit` are allowed.', ' Default is ``None``.', ' ', '', ' **copy** : `bool`, optional', '', ' Indicates whether to save the arguments as copy. ``True`` copies', ' every attribute before saving it while ``False`` tries to save every', ' parameter as reference.', ' Note however that it is not always possible to save the input as', ' reference.', ' Default is ``False``.', ' ', ' .. versionadded:: 1.2', '', ':Raises:', '', ' **TypeError**', '', " In case ``data`` or ``meta`` don't meet the restrictions.", '', '.. seealso::', '', ' ', ' :obj:`NDDataRef`, :obj:`NDDataArray`', ' ', '.. rubric:: Notes', '', '', 'Each attribute can be accessed through the homonymous instance attribute:', '``data`` in a `NDData` object can be accessed through the `data`', 'attribute::', '', ' >>> from astropy.nddata import NDData', ' >>> nd = NDData([1,2,3])', ' >>> nd.data', ' array([1, 2, 3])', '', 'Given a conflicting implicit and an explicit parameter during', 'initialization, for example the ``data`` is a `~astropy.units.Quantity` and', 'the unit parameter is not ``None``, then the implicit parameter is replaced', '(without conversion) by the explicit one and a warning is issued::', '', ' >>> import numpy as np', ' >>> import astropy.units as u', ' >>> q = np.array([1,2,3,4]) * u.m', ' >>> nd2 = NDData(q, unit=u.cm)', " INFO: overwriting Quantity's current unit with specified unit. [astropy.nddata.nddata]", ' >>> nd2.data', ' array([ 1., 2., 3., 4.])', ' >>> nd2.unit', ' Unit("cm")', '', '.. rubric:: Attributes Summary', '', '.. autosummary::', '', ' ~NDData.data', ' ~NDData.mask', ' ~NDData.meta', ' ~NDData.uncertainty', ' ~NDData.unit', ' ~NDData.wcs', '', '.. rubric:: Attributes Documentation', '', '.. autoattribute:: data', '.. autoattribute:: mask', '.. autoattribute:: meta', '.. autoattribute:: uncertainty', '.. autoattribute:: unit', '.. autoattribute:: wcs']:42: WARNING: py:obj reference target not found: dict ['NDData(data, uncertainty=None, mask=None, wcs=None, meta=None, unit=None, copy=False)', ':module: astropy.nddata', '', 'Bases: :class:`astropy.nddata.nddata_base.NDDataBase`', '', '', '', 'A container for `numpy.ndarray`-based datasets, using the', '`~astropy.nddata.NDDataBase` interface.', '', 'The key distinction from raw `numpy.ndarray` is the presence of', 'additional metadata such as uncertainty, mask, unit, a coordinate system', 'and/or a dictionary containing further meta information. This class *only*', 'provides a container for *storing* such datasets. For further functionality', 'take a look at the ``See also`` section.', '', ':Parameters:', '', ' **data** : `numpy.ndarray`-like or `NDData`-like', '', ' The dataset.', ' ', '', ' **uncertainty** : any type, optional', '', ' Uncertainty in the dataset.', ' Should have an attribute ``uncertainty_type`` that defines what kind of', ' uncertainty is stored, for example ``"std"`` for standard deviation or', ' ``"var"`` for variance. A metaclass defining such an interface is', " `NDUncertainty` - but isn't mandatory. If the uncertainty has no such", ' attribute the uncertainty is stored as `UnknownUncertainty`.', ' Defaults to ``None``.', ' ', '', ' **mask** : any type, optional', '', ' Mask for the dataset. Masks should follow the ``numpy`` convention that', ' **valid** data points are marked by ``False`` and **invalid** ones with', ' ``True``.', ' Defaults to ``None``.', ' ', '', ' **wcs** : any type, optional', '', ' World coordinate system (WCS) for the dataset.', ' Default is ``None``.', ' ', '', ' **meta** : `dict`-like object, optional', '', ' Additional meta information about the dataset. If no meta is provided', ' an empty `collections.OrderedDict` is created.', ' Default is ``None``.', ' ', '', ' **unit** : `~astropy.units.Unit`-like or str, optional', '', ' Unit for the dataset. Strings that can be converted to a', ' `~astropy.units.Unit` are allowed.', ' Default is ``None``.', ' ', '', ' **copy** : `bool`, optional', '', ' Indicates whether to save the arguments as copy. ``True`` copies', ' every attribute before saving it while ``False`` tries to save every', ' parameter as reference.', ' Note however that it is not always possible to save the input as', ' reference.', ' Default is ``False``.', ' ', ' .. versionadded:: 1.2', '', ':Raises:', '', ' **TypeError**', '', " In case ``data`` or ``meta`` don't meet the restrictions.", '', '.. seealso::', '', ' ', ' :obj:`NDDataRef`, :obj:`NDDataArray`', ' ', '.. rubric:: Notes', '', '', 'Each attribute can be accessed through the homonymous instance attribute:', '``data`` in a `NDData` object can be accessed through the `data`', 'attribute::', '', ' >>> from astropy.nddata import NDData', ' >>> nd = NDData([1,2,3])', ' >>> nd.data', ' array([1, 2, 3])', '', 'Given a conflicting implicit and an explicit parameter during', 'initialization, for example the ``data`` is a `~astropy.units.Quantity` and', 'the unit parameter is not ``None``, then the implicit parameter is replaced', '(without conversion) by the explicit one and a warning is issued::', '', ' >>> import numpy as np', ' >>> import astropy.units as u', ' >>> q = np.array([1,2,3,4]) * u.m', ' >>> nd2 = NDData(q, unit=u.cm)', " INFO: overwriting Quantity's current unit with specified unit. [astropy.nddata.nddata]", ' >>> nd2.data', ' array([ 1., 2., 3., 4.])', ' >>> nd2.unit', ' Unit("cm")', '', '.. rubric:: Attributes Summary', '', '.. autosummary::', '', ' ~NDData.data', ' ~NDData.mask', ' ~NDData.meta', ' ~NDData.uncertainty', ' ~NDData.unit', ' ~NDData.wcs', '', '.. rubric:: Attributes Documentation', '', '.. autoattribute:: data', '.. autoattribute:: mask', '.. autoattribute:: meta', '.. autoattribute:: uncertainty', '.. autoattribute:: unit', '.. autoattribute:: wcs']:44: WARNING: py:obj reference target not found: collections.OrderedDict ['NDData(data, uncertainty=None, mask=None, wcs=None, meta=None, unit=None, copy=False)', ':module: astropy.nddata', '', 'Bases: :class:`astropy.nddata.nddata_base.NDDataBase`', '', '', '', 'A container for `numpy.ndarray`-based datasets, using the', '`~astropy.nddata.NDDataBase` interface.', '', 'The key distinction from raw `numpy.ndarray` is the presence of', 'additional metadata such as uncertainty, mask, unit, a coordinate system', 'and/or a dictionary containing further meta information. This class *only*', 'provides a container for *storing* such datasets. For further functionality', 'take a look at the ``See also`` section.', '', ':Parameters:', '', ' **data** : `numpy.ndarray`-like or `NDData`-like', '', ' The dataset.', ' ', '', ' **uncertainty** : any type, optional', '', ' Uncertainty in the dataset.', ' Should have an attribute ``uncertainty_type`` that defines what kind of', ' uncertainty is stored, for example ``"std"`` for standard deviation or', ' ``"var"`` for variance. A metaclass defining such an interface is', " `NDUncertainty` - but isn't mandatory. If the uncertainty has no such", ' attribute the uncertainty is stored as `UnknownUncertainty`.', ' Defaults to ``None``.', ' ', '', ' **mask** : any type, optional', '', ' Mask for the dataset. Masks should follow the ``numpy`` convention that', ' **valid** data points are marked by ``False`` and **invalid** ones with', ' ``True``.', ' Defaults to ``None``.', ' ', '', ' **wcs** : any type, optional', '', ' World coordinate system (WCS) for the dataset.', ' Default is ``None``.', ' ', '', ' **meta** : `dict`-like object, optional', '', ' Additional meta information about the dataset. If no meta is provided', ' an empty `collections.OrderedDict` is created.', ' Default is ``None``.', ' ', '', ' **unit** : `~astropy.units.Unit`-like or str, optional', '', ' Unit for the dataset. Strings that can be converted to a', ' `~astropy.units.Unit` are allowed.', ' Default is ``None``.', ' ', '', ' **copy** : `bool`, optional', '', ' Indicates whether to save the arguments as copy. ``True`` copies', ' every attribute before saving it while ``False`` tries to save every', ' parameter as reference.', ' Note however that it is not always possible to save the input as', ' reference.', ' Default is ``False``.', ' ', ' .. versionadded:: 1.2', '', ':Raises:', '', ' **TypeError**', '', " In case ``data`` or ``meta`` don't meet the restrictions.", '', '.. seealso::', '', ' ', ' :obj:`NDDataRef`, :obj:`NDDataArray`', ' ', '.. rubric:: Notes', '', '', 'Each attribute can be accessed through the homonymous instance attribute:', '``data`` in a `NDData` object can be accessed through the `data`', 'attribute::', '', ' >>> from astropy.nddata import NDData', ' >>> nd = NDData([1,2,3])', ' >>> nd.data', ' array([1, 2, 3])', '', 'Given a conflicting implicit and an explicit parameter during', 'initialization, for example the ``data`` is a `~astropy.units.Quantity` and', 'the unit parameter is not ``None``, then the implicit parameter is replaced', '(without conversion) by the explicit one and a warning is issued::', '', ' >>> import numpy as np', ' >>> import astropy.units as u', ' >>> q = np.array([1,2,3,4]) * u.m', ' >>> nd2 = NDData(q, unit=u.cm)', " INFO: overwriting Quantity's current unit with specified unit. [astropy.nddata.nddata]", ' >>> nd2.data', ' array([ 1., 2., 3., 4.])', ' >>> nd2.unit', ' Unit("cm")', '', '.. rubric:: Attributes Summary', '', '.. autosummary::', '', ' ~NDData.data', ' ~NDData.mask', ' ~NDData.meta', ' ~NDData.uncertainty', ' ~NDData.unit', ' ~NDData.wcs', '', '.. rubric:: Attributes Documentation', '', '.. autoattribute:: data', '.. autoattribute:: mask', '.. autoattribute:: meta', '.. autoattribute:: uncertainty', '.. autoattribute:: unit', '.. autoattribute:: wcs']:54: WARNING: py:obj reference target not found: bool /<>/docs/api/astropy.nddata.NDData.rst:1: WARNING: py:obj reference target not found: numpy.ndarray /<>/docs/api/astropy.nddata.NDData.rst:1: WARNING: py:obj reference target not found: dict /<>/docs/api/astropy.nddata.NDData.rst:9: WARNING: py:obj reference target not found: numpy.ndarray /<>/docs/api/astropy.nddata.NDData.rst:9: WARNING: py:obj reference target not found: dict /<>/docs/api/astropy.nddata.NDDataArray.rst:18: WARNING: py:obj reference target not found: numpy.ndarray /<>/docs/api/astropy.nddata.NDDataArray.rst:28: WARNING: py:obj reference target not found: numpy.ndarray /<>/docs/api/astropy.nddata.NDDataArray.rst:38: WARNING: py:obj reference target not found: numpy.ndarray ['NDDataArray(data, *args, **kwd)', ':module: astropy.nddata', '', 'Bases: :class:`astropy.nddata.mixins.ndarithmetic.NDArithmeticMixin`, :class:`astropy.nddata.mixins.ndslicing.NDSlicingMixin`, :class:`astropy.nddata.mixins.ndio.NDIOMixin`, :class:`astropy.nddata.nddata.NDData`', '', '', '', 'An ``NDData`` object with arithmetic. This class is functionally equivalent', 'to ``NDData`` in astropy versions prior to 1.0.', '', 'The key distinction from raw numpy arrays is the presence of', 'additional metadata such as uncertainties, a mask, units, flags,', 'and/or a coordinate system.', '', ':Parameters:', '', ' **data** : `~numpy.ndarray` or `NDData`', '', ' The actual data contained in this `NDData` object. Not that this', ' will always be copies by *reference* , so you should make copy', " the ``data`` before passing it in if that's the desired behavior.", ' ', '', ' **uncertainty** : `~astropy.nddata.NDUncertainty`, optional', '', ' Uncertainties on the data.', ' ', '', ' **mask** : `~numpy.ndarray`-like, optional', '', ' Mask for the data, given as a boolean Numpy array or any object that', ' can be converted to a boolean Numpy array with a shape', ' matching that of the data. The values must be ``False`` where', ' the data is *valid* and ``True`` when it is not (like Numpy', ' masked arrays). If ``data`` is a numpy masked array, providing', ' ``mask`` here will causes the mask from the masked array to be', ' ignored.', ' ', '', ' **flags** : `~numpy.ndarray`-like or `~astropy.nddata.FlagCollection`, optional', '', ' Flags giving information about each pixel. These can be specified', ' either as a Numpy array of any type (or an object which can be converted', ' to a Numpy array) with a shape matching that of the', ' data, or as a `~astropy.nddata.FlagCollection` instance which has a', ' shape matching that of the data.', ' ', '', ' **wcs** : undefined, optional', '', ' WCS-object containing the world coordinate system for the data.', ' ', ' .. warning::', ' This is not yet defind because the discussion of how best to', " represent this class's WCS system generically is still under", ' consideration. For now just leave it as None', ' ', '', ' **meta** : `dict`-like object, optional', '', ' Metadata for this object. "Metadata" here means all information that', ' is included with this object but not part of any other attribute', ' of this particular object. e.g., creation date, unique identifier,', ' simulation parameters, exposure time, telescope name, etc.', ' ', '', ' **unit** : `~astropy.units.UnitBase` instance or str, optional', '', ' The units of the data.', '', ':Raises:', '', ' **ValueError :**', '', ' If the `uncertainty` or `mask` inputs cannot be broadcast (e.g., match', ' shape) onto ``data``.', '', '.. rubric:: Attributes Summary', '', '.. autosummary::', '', ' ~NDDataArray.dtype', ' ~NDDataArray.flags', ' ~NDDataArray.mask', ' ~NDDataArray.ndim', ' ~NDDataArray.shape', ' ~NDDataArray.size', ' ~NDDataArray.uncertainty', ' ~NDDataArray.unit', '', '.. rubric:: Methods Summary', '', '.. autosummary::', '', ' ~NDDataArray.convert_unit_to', '', '.. rubric:: Attributes Documentation', '', '.. autoattribute:: dtype', '.. autoattribute:: flags', '.. autoattribute:: mask', '.. autoattribute:: ndim', '.. autoattribute:: shape', '.. autoattribute:: size', '.. autoattribute:: uncertainty', '.. autoattribute:: unit', '', '.. rubric:: Methods Documentation', '', '.. automethod:: convert_unit_to']:51: WARNING: py:obj reference target not found: dict /<>/docs/api/astropy.nddata.NDDataArray.rst:1: WARNING: py:obj reference target not found: numpy.dtype /<>/docs/api/astropy.nddata.NDDataArray.rst:9: WARNING: py:obj reference target not found: numpy.dtype /<>/docs/api/astropy.nddata.NDDataBase.rst:7: WARNING: py:class reference target not found: object /<>/docs/api/astropy.nddata.NDDataBase.rst:12: WARNING: py:obj reference target not found: numpy.ndarray /<>/docs/api/astropy.nddata.NDDataBase.rst:11: WARNING: py:obj reference target not found: dict /<>/docs/api/astropy.nddata.NDIOMixin.rst:7: WARNING: py:class reference target not found: object ['NDIOMixin.write(*args, **kwargs)', ':module: astropy.nddata', '', '', '', 'Write CCDData object to FITS file.', '', '', ':Parameters:', '', ' **filename** : str', '', ' Name of file.', ' ', '', ' **hdu_mask, hdu_uncertainty, hdu_flags** : str or None, optional', '', ' If it is a string append this attribute to the HDUList as', ' `~astropy.io.fits.ImageHDU` with the string as extension name.', ' Flags are not supported at this time. If ``None`` this attribute', ' is not appended.', " Default is ``'MASK'`` for mask, ``'UNCERT'`` for uncertainty and", ' ``None`` for flags.', ' ', '', ' **kwd :**', '', ' All additional keywords are passed to :py:mod:`astropy.io.fits`', '', ':Raises:', '', ' **ValueError**', '', ' - If ``self.mask`` is set but not a `numpy.ndarray`.', ' - If ``self.uncertainty`` is set but not a', ' `~astropy.nddata.StdDevUncertainty`.', ' - If ``self.uncertainty`` is set but has another unit then', ' ``self.data``.', ' ', '', ' **NotImplementedError**', '', ' Saving flags is not supported.']:28: WARNING: py:obj reference target not found: numpy.ndarray /<>/docs/api/astropy.nddata.NDSlicingMixin.rst:7: WARNING: py:class reference target not found: object /<>/docs/api/astropy.nddata.NDUncertainty.rst:7: WARNING: py:class reference target not found: object /<>/docs/api/astropy.nddata.NDUncertainty.rst:15: WARNING: py:obj reference target not found: numpy.ndarray /<>/docs/api/astropy.nddata.NDUncertainty.rst:15: WARNING: py:obj reference target not found: list /<>/docs/api/astropy.nddata.NDUncertainty.rst:15: WARNING: py:obj reference target not found: numpy.ndarray /<>/docs/api/astropy.nddata.NDUncertainty.rst:15: WARNING: py:obj reference target not found: numpy.ndarray /<>/docs/api/astropy.nddata.NDUncertainty.rst:28: WARNING: py:obj reference target not found: bool /<>/docs/api/astropy.nddata.NDUncertainty.rst:1: WARNING: py:obj reference target not found: numpy.ndarray /<>/docs/api/astropy.nddata.NDUncertainty.rst:1: WARNING: py:obj reference target not found: bool /<>/docs/api/astropy.nddata.NDUncertainty.rst:1: WARNING: py:obj reference target not found: str /<>/docs/api/astropy.nddata.NDUncertainty.rst:9: WARNING: py:obj reference target not found: numpy.ndarray /<>/docs/api/astropy.nddata.NDUncertainty.rst:9: WARNING: py:obj reference target not found: bool /<>/docs/api/astropy.nddata.NDUncertainty.rst:9: WARNING: py:obj reference target not found: str /<>/docs/api/astropy.nddata.NDUncertainty.rst:17: WARNING: py:obj reference target not found: numpy.add /<>/docs/api/astropy.nddata.NDUncertainty.rst:17: WARNING: py:obj reference target not found: numpy.subtract /<>/docs/api/astropy.nddata.NDUncertainty.rst:17: WARNING: py:obj reference target not found: numpy.multiply /<>/docs/api/astropy.nddata.NDUncertainty.rst:17: WARNING: py:obj reference target not found: numpy.true_divide /<>/docs/api/astropy.nddata.NDUncertainty.rst:17: WARNING: py:obj reference target not found: numpy.divide /<>/docs/api/astropy.nddata.NDUncertainty.rst:25: WARNING: py:obj reference target not found: numpy.ndarray /<>/docs/api/astropy.nddata.NDUncertainty.rst:29: WARNING: py:obj reference target not found: numpy.ndarray /<>/docs/api/astropy.nddata.StdDevUncertainty.rst:1: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.nddata.StdDevUncertainty.rst:9: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.nddata.UnknownUncertainty.rst:1: WARNING: py:obj reference target not found: False /<>/docs/api/astropy.nddata.UnknownUncertainty.rst:9: WARNING: py:obj reference target not found: False /<>/docs/api/astropy.nddata.add_array.rst:13: WARNING: py:obj reference target not found: numpy.ndarray /<>/docs/api/astropy.nddata.add_array.rst:17: WARNING: py:obj reference target not found: numpy.ndarray ['add_array(array_large, array_small, position)', ':module: astropy.nddata', '', '', '', 'Add a smaller array at a given position in a larger array.', '', '', ':Parameters:', '', ' **array_large** : `~numpy.ndarray`', '', ' Large array.', '', ' **array_small** : `~numpy.ndarray`', '', ' Small array to add.', '', ' **position** : tuple', '', " Position of the small array's center, with respect to the large array.", ' Coordinates should be in the same order as the array shape.', '', ':Returns:', '', ' **new_array** : `~numpy.ndarray`', '', ' The new array formed from the sum of ``array_large`` and', ' ``array_small``.', '', '.. rubric:: Notes', '', '', 'The addition is done in-place.', '', '.. rubric:: Examples', '', '', 'We consider a large array of zeros with the shape 5x5 and a small', 'array of ones with a shape of 3x3:', '', '>>> import numpy as np', '>>> from astropy.nddata.utils import add_array', '>>> large_array = np.zeros((5, 5))', '>>> small_array = np.ones((3, 3))', '>>> add_array(large_array, small_array, (1, 2))', 'array([[ 0., 1., 1., 1., 0.],', ' [ 0., 1., 1., 1., 0.],', ' [ 0., 1., 1., 1., 0.],', ' [ 0., 0., 0., 0., 0.],', ' [ 0., 0., 0., 0., 0.]])']:22: WARNING: py:obj reference target not found: numpy.ndarray ['block_reduce(data, block_size, func=)', ':module: astropy.nddata', '', '', '', 'Downsample a data array by applying a function to local blocks.', '', 'If ``data`` is not perfectly divisible by ``block_size`` along a', 'given axis then the data will be trimmed (from the end) along that', 'axis.', '', ':Parameters:', '', ' **data** : array_like', '', ' The data to be resampled.', ' ', '', ' **block_size** : int or array_like (int)', '', ' The integer block size along each axis. If ``block_size`` is a', ' scalar and ``data`` has more than one dimension, then', ' ``block_size`` will be used for for every axis.', ' ', '', ' **func** : callable, optional', '', ' The method to use to downsample the data. Must be a callable', ' that takes in a `~numpy.ndarray` along with an ``axis`` keyword,', ' which defines the axis along which the function is applied. The', ' default is `~numpy.sum`, which provides block summation (and', ' conserves the data sum).', '', ':Returns:', '', ' **output** : array-like', '', ' The resampled data.', '', '.. rubric:: Examples', '', '', '>>> import numpy as np', '>>> from astropy.nddata.utils import block_reduce', '>>> data = np.arange(16).reshape(4, 4)', '>>> block_reduce(data, 2) # doctest: +SKIP', 'array([[10, 18],', ' [42, 50]])', '', '>>> block_reduce(data, 2, func=np.mean) # doctest: +SKIP', 'array([[ 2.5, 4.5],', ' [ 10.5, 12.5]])']:23: WARNING: py:obj reference target not found: numpy.ndarray ['block_reduce(data, block_size, func=)', ':module: astropy.nddata', '', '', '', 'Downsample a data array by applying a function to local blocks.', '', 'If ``data`` is not perfectly divisible by ``block_size`` along a', 'given axis then the data will be trimmed (from the end) along that', 'axis.', '', ':Parameters:', '', ' **data** : array_like', '', ' The data to be resampled.', ' ', '', ' **block_size** : int or array_like (int)', '', ' The integer block size along each axis. If ``block_size`` is a', ' scalar and ``data`` has more than one dimension, then', ' ``block_size`` will be used for for every axis.', ' ', '', ' **func** : callable, optional', '', ' The method to use to downsample the data. Must be a callable', ' that takes in a `~numpy.ndarray` along with an ``axis`` keyword,', ' which defines the axis along which the function is applied. The', ' default is `~numpy.sum`, which provides block summation (and', ' conserves the data sum).', '', ':Returns:', '', ' **output** : array-like', '', ' The resampled data.', '', '.. rubric:: Examples', '', '', '>>> import numpy as np', '>>> from astropy.nddata.utils import block_reduce', '>>> data = np.arange(16).reshape(4, 4)', '>>> block_reduce(data, 2) # doctest: +SKIP', 'array([[10, 18],', ' [42, 50]])', '', '>>> block_reduce(data, 2, func=np.mean) # doctest: +SKIP', 'array([[ 2.5, 4.5],', ' [ 10.5, 12.5]])']:23: WARNING: py:obj reference target not found: numpy.sum ['block_replicate(data, block_size, conserve_sum=True)', ':module: astropy.nddata', '', '', '', 'Upsample a data array by block replication.', '', '', ':Parameters:', '', ' **data** : array_like', '', ' The data to be block replicated.', ' ', '', ' **block_size** : int or array_like (int)', '', ' The integer block size along each axis. If ``block_size`` is a', ' scalar and ``data`` has more than one dimension, then', ' ``block_size`` will be used for for every axis.', ' ', '', ' **conserve_sum** : bool, optional', '', ' If `True` (the default) then the sum of the output', ' block-replicated data will equal the sum of the input ``data``.', '', ':Returns:', '', ' **output** : array_like', '', ' The block-replicated data.', '', '.. rubric:: Examples', '', '', '>>> import numpy as np', '>>> from astropy.nddata.utils import block_replicate', '>>> data = np.array([[0., 1.], [2., 3.]])', '>>> block_replicate(data, 2)', 'array([[ 0. , 0. , 0.25, 0.25],', ' [ 0. , 0. , 0.25, 0.25],', ' [ 0.5 , 0.5 , 0.75, 0.75],', ' [ 0.5 , 0.5 , 0.75, 0.75]])', '', '>>> block_replicate(data, 2, conserve_sum=False)', 'array([[ 0., 0., 1., 1.],', ' [ 0., 0., 1., 1.],', ' [ 2., 2., 3., 3.],', ' [ 2., 2., 3., 3.]])']:19: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.nddata.extract_array.rst:14: WARNING: py:obj reference target not found: numpy.ndarray ["extract_array(array_large, shape, position, mode='partial', fill_value=nan, return_position=False)", ':module: astropy.nddata', '', '', '', 'Extract a smaller array of the given shape and position from a', 'larger array.', '', '', ':Parameters:', '', ' **array_large** : `~numpy.ndarray`', '', ' The array from which to extract the small array.', '', ' **shape** : tuple or int', '', ' The shape of the extracted array (for 1D arrays, this can be an', ' `int`). See the ``mode`` keyword for additional details.', '', ' **position** : tuple of numbers or number', '', " The position of the small array's center with respect to the", ' large array. The pixel coordinates should be in the same order', ' as the array shape. Integer positions are at the pixel centers', ' (for 1D arrays, this can be a number).', '', " **mode** : {'partial', 'trim', 'strict'}, optional", '', ' The mode used for extracting the small array. For the', " ``'partial'`` and ``'trim'`` modes, a partial overlap of the", ' small array and the large array is sufficient. For the', " ``'strict'`` mode, the small array has to be fully contained", ' within the large array, otherwise an', ' `~astropy.nddata.utils.PartialOverlapError` is raised. In all', ' modes, non-overlapping arrays will raise a', " `~astropy.nddata.utils.NoOverlapError`. In ``'partial'`` mode,", ' positions in the small array that do not overlap with the large', " array will be filled with ``fill_value``. In ``'trim'`` mode", ' only the overlapping elements are returned, thus the resulting', ' small array may be smaller than the requested ``shape``.', '', ' **fill_value** : number, optional', '', " If ``mode='partial'``, the value to fill pixels in the extracted", ' small array that do not overlap with the input ``array_large``.', ' ``fill_value`` must have the same ``dtype`` as the', ' ``array_large`` array.', '', ' **return_position** : boolean, optional', '', ' If `True`, return the coordinates of ``position`` in the', ' coordinate system of the returned array.', '', ':Returns:', '', ' **array_small** : `~numpy.ndarray`', '', ' The extracted array.', '', ' **new_position** : tuple', '', ' If ``return_position`` is true, this tuple will contain the', ' coordinates of the input ``position`` in the coordinate system', ' of ``array_small``. Note that for partially overlapping arrays,', ' ``new_position`` might actually be outside of the', ' ``array_small``; ``array_small[new_position]`` might give wrong', ' results if any element in ``new_position`` is negative.', '', '.. rubric:: Examples', '', '', 'We consider a large array with the shape 11x10, from which we extract', 'a small array of shape 3x5:', '', '>>> import numpy as np', '>>> from astropy.nddata.utils import extract_array', '>>> large_array = np.arange(110).reshape((11, 10))', '>>> extract_array(large_array, (3, 5), (7, 7))', 'array([[65, 66, 67, 68, 69],', ' [75, 76, 77, 78, 79],', ' [85, 86, 87, 88, 89]])']:14: WARNING: py:obj reference target not found: int ["extract_array(array_large, shape, position, mode='partial', fill_value=nan, return_position=False)", ':module: astropy.nddata', '', '', '', 'Extract a smaller array of the given shape and position from a', 'larger array.', '', '', ':Parameters:', '', ' **array_large** : `~numpy.ndarray`', '', ' The array from which to extract the small array.', '', ' **shape** : tuple or int', '', ' The shape of the extracted array (for 1D arrays, this can be an', ' `int`). See the ``mode`` keyword for additional details.', '', ' **position** : tuple of numbers or number', '', " The position of the small array's center with respect to the", ' large array. The pixel coordinates should be in the same order', ' as the array shape. Integer positions are at the pixel centers', ' (for 1D arrays, this can be a number).', '', " **mode** : {'partial', 'trim', 'strict'}, optional", '', ' The mode used for extracting the small array. For the', " ``'partial'`` and ``'trim'`` modes, a partial overlap of the", ' small array and the large array is sufficient. For the', " ``'strict'`` mode, the small array has to be fully contained", ' within the large array, otherwise an', ' `~astropy.nddata.utils.PartialOverlapError` is raised. In all', ' modes, non-overlapping arrays will raise a', " `~astropy.nddata.utils.NoOverlapError`. In ``'partial'`` mode,", ' positions in the small array that do not overlap with the large', " array will be filled with ``fill_value``. In ``'trim'`` mode", ' only the overlapping elements are returned, thus the resulting', ' small array may be smaller than the requested ``shape``.', '', ' **fill_value** : number, optional', '', " If ``mode='partial'``, the value to fill pixels in the extracted", ' small array that do not overlap with the input ``array_large``.', ' ``fill_value`` must have the same ``dtype`` as the', ' ``array_large`` array.', '', ' **return_position** : boolean, optional', '', ' If `True`, return the coordinates of ``position`` in the', ' coordinate system of the returned array.', '', ':Returns:', '', ' **array_small** : `~numpy.ndarray`', '', ' The extracted array.', '', ' **new_position** : tuple', '', ' If ``return_position`` is true, this tuple will contain the', ' coordinates of the input ``position`` in the coordinate system', ' of ``array_small``. Note that for partially overlapping arrays,', ' ``new_position`` might actually be outside of the', ' ``array_small``; ``array_small[new_position]`` might give wrong', ' results if any element in ``new_position`` is negative.', '', '.. rubric:: Examples', '', '', 'We consider a large array with the shape 11x10, from which we extract', 'a small array of shape 3x5:', '', '>>> import numpy as np', '>>> from astropy.nddata.utils import extract_array', '>>> large_array = np.arange(110).reshape((11, 10))', '>>> extract_array(large_array, (3, 5), (7, 7))', 'array([[65, 66, 67, 68, 69],', ' [75, 76, 77, 78, 79],', ' [85, 86, 87, 88, 89]])']:48: WARNING: py:obj reference target not found: True ["extract_array(array_large, shape, position, mode='partial', fill_value=nan, return_position=False)", ':module: astropy.nddata', '', '', '', 'Extract a smaller array of the given shape and position from a', 'larger array.', '', '', ':Parameters:', '', ' **array_large** : `~numpy.ndarray`', '', ' The array from which to extract the small array.', '', ' **shape** : tuple or int', '', ' The shape of the extracted array (for 1D arrays, this can be an', ' `int`). See the ``mode`` keyword for additional details.', '', ' **position** : tuple of numbers or number', '', " The position of the small array's center with respect to the", ' large array. The pixel coordinates should be in the same order', ' as the array shape. Integer positions are at the pixel centers', ' (for 1D arrays, this can be a number).', '', " **mode** : {'partial', 'trim', 'strict'}, optional", '', ' The mode used for extracting the small array. For the', " ``'partial'`` and ``'trim'`` modes, a partial overlap of the", ' small array and the large array is sufficient. For the', " ``'strict'`` mode, the small array has to be fully contained", ' within the large array, otherwise an', ' `~astropy.nddata.utils.PartialOverlapError` is raised. In all', ' modes, non-overlapping arrays will raise a', " `~astropy.nddata.utils.NoOverlapError`. In ``'partial'`` mode,", ' positions in the small array that do not overlap with the large', " array will be filled with ``fill_value``. In ``'trim'`` mode", ' only the overlapping elements are returned, thus the resulting', ' small array may be smaller than the requested ``shape``.', '', ' **fill_value** : number, optional', '', " If ``mode='partial'``, the value to fill pixels in the extracted", ' small array that do not overlap with the input ``array_large``.', ' ``fill_value`` must have the same ``dtype`` as the', ' ``array_large`` array.', '', ' **return_position** : boolean, optional', '', ' If `True`, return the coordinates of ``position`` in the', ' coordinate system of the returned array.', '', ':Returns:', '', ' **array_small** : `~numpy.ndarray`', '', ' The extracted array.', '', ' **new_position** : tuple', '', ' If ``return_position`` is true, this tuple will contain the', ' coordinates of the input ``position`` in the coordinate system', ' of ``array_small``. Note that for partially overlapping arrays,', ' ``new_position`` might actually be outside of the', ' ``array_small``; ``array_small[new_position]`` might give wrong', ' results if any element in ``new_position`` is negative.', '', '.. rubric:: Examples', '', '', 'We consider a large array with the shape 11x10, from which we extract', 'a small array of shape 3x5:', '', '>>> import numpy as np', '>>> from astropy.nddata.utils import extract_array', '>>> large_array = np.arange(110).reshape((11, 10))', '>>> extract_array(large_array, (3, 5), (7, 7))', 'array([[65, 66, 67, 68, 69],', ' [75, 76, 77, 78, 79],', ' [85, 86, 87, 88, 89]])']:53: WARNING: py:obj reference target not found: numpy.ndarray ["fits_ccddata_writer(ccd_data, filename, hdu_mask='MASK', hdu_uncertainty='UNCERT', hdu_flags=None, **kwd)", ':module: astropy.nddata', '', '', '', 'Write CCDData object to FITS file.', '', '', ':Parameters:', '', ' **filename** : str', '', ' Name of file.', ' ', '', ' **hdu_mask, hdu_uncertainty, hdu_flags** : str or None, optional', '', ' If it is a string append this attribute to the HDUList as', ' `~astropy.io.fits.ImageHDU` with the string as extension name.', ' Flags are not supported at this time. If ``None`` this attribute', ' is not appended.', " Default is ``'MASK'`` for mask, ``'UNCERT'`` for uncertainty and", ' ``None`` for flags.', ' ', '', ' **kwd :**', '', ' All additional keywords are passed to :py:mod:`astropy.io.fits`', '', ':Raises:', '', ' **ValueError**', '', ' - If ``self.mask`` is set but not a `numpy.ndarray`.', ' - If ``self.uncertainty`` is set but not a', ' `~astropy.nddata.StdDevUncertainty`.', ' - If ``self.uncertainty`` is set but has another unit then', ' ``self.data``.', ' ', '', ' **NotImplementedError**', '', ' Saving flags is not supported.']:28: WARNING: py:obj reference target not found: numpy.ndarray ["overlap_slices(large_array_shape, small_array_shape, position, mode='partial')", ':module: astropy.nddata', '', '', '', 'Get slices for the overlapping part of a small and a large array.', '', 'Given a certain position of the center of the small array, with', 'respect to the large array, tuples of slices are returned which can be', 'used to extract, add or subtract the small array at the given', 'position. This function takes care of the correct behavior at the', 'boundaries, where the small array is cut of appropriately.', 'Integer positions are at the pixel centers.', '', ':Parameters:', '', ' **large_array_shape** : tuple or int', '', ' The shape of the large array (for 1D arrays, this can be an', ' `int`).', '', ' **small_array_shape** : tuple or int', '', ' The shape of the small array (for 1D arrays, this can be an', ' `int`). See the ``mode`` keyword for additional details.', '', ' **position** : tuple of numbers or number', '', " The position of the small array's center with respect to the", ' large array. The pixel coordinates should be in the same order', ' as the array shape. Integer positions are at the pixel centers.', ' For any axis where ``small_array_shape`` is even, the position', ' is rounded up, e.g. extracting two elements with a center of', ' ``1`` will define the extracted region as ``[0, 1]``.', '', " **mode** : {'partial', 'trim', 'strict'}, optional", '', " In ``'partial'`` mode, a partial overlap of the small and the", " large array is sufficient. The ``'trim'`` mode is similar to", " the ``'partial'`` mode, but ``slices_small`` will be adjusted to", " return only the overlapping elements. In the ``'strict'`` mode,", ' the small array has to be fully contained in the large array,', ' otherwise an `~astropy.nddata.utils.PartialOverlapError` is', ' raised. In all modes, non-overlapping arrays will raise a', ' `~astropy.nddata.utils.NoOverlapError`.', '', ':Returns:', '', ' **slices_large** : tuple of slices', '', ' A tuple of slice objects for each axis of the large array, such', ' that ``large_array[slices_large]`` extracts the region of the', ' large array that overlaps with the small array.', '', ' **slices_small** : slice', '', ' A tuple of slice objects for each axis of the small array, such', ' that ``small_array[slices_small]`` extracts the region that is', ' inside the large array.']:16: WARNING: py:obj reference target not found: int ["overlap_slices(large_array_shape, small_array_shape, position, mode='partial')", ':module: astropy.nddata', '', '', '', 'Get slices for the overlapping part of a small and a large array.', '', 'Given a certain position of the center of the small array, with', 'respect to the large array, tuples of slices are returned which can be', 'used to extract, add or subtract the small array at the given', 'position. This function takes care of the correct behavior at the', 'boundaries, where the small array is cut of appropriately.', 'Integer positions are at the pixel centers.', '', ':Parameters:', '', ' **large_array_shape** : tuple or int', '', ' The shape of the large array (for 1D arrays, this can be an', ' `int`).', '', ' **small_array_shape** : tuple or int', '', ' The shape of the small array (for 1D arrays, this can be an', ' `int`). See the ``mode`` keyword for additional details.', '', ' **position** : tuple of numbers or number', '', " The position of the small array's center with respect to the", ' large array. The pixel coordinates should be in the same order', ' as the array shape. Integer positions are at the pixel centers.', ' For any axis where ``small_array_shape`` is even, the position', ' is rounded up, e.g. extracting two elements with a center of', ' ``1`` will define the extracted region as ``[0, 1]``.', '', " **mode** : {'partial', 'trim', 'strict'}, optional", '', " In ``'partial'`` mode, a partial overlap of the small and the", " large array is sufficient. The ``'trim'`` mode is similar to", " the ``'partial'`` mode, but ``slices_small`` will be adjusted to", " return only the overlapping elements. In the ``'strict'`` mode,", ' the small array has to be fully contained in the large array,', ' otherwise an `~astropy.nddata.utils.PartialOverlapError` is', ' raised. In all modes, non-overlapping arrays will raise a', ' `~astropy.nddata.utils.NoOverlapError`.', '', ':Returns:', '', ' **slices_large** : tuple of slices', '', ' A tuple of slice objects for each axis of the large array, such', ' that ``large_array[slices_large]`` extracts the region of the', ' large array that overlaps with the small array.', '', ' **slices_small** : slice', '', ' A tuple of slice objects for each axis of the small array, such', ' that ``small_array[slices_small]`` extracts the region that is', ' inside the large array.']:21: WARNING: py:obj reference target not found: int /<>/docs/api/astropy.nddata.subpixel_indices.rst:18: WARNING: py:obj reference target not found: numpy.ndarray ['subpixel_indices(position, subsampling)', ':module: astropy.nddata', '', '', '', 'Convert decimal points to indices, given a subsampling factor.', '', 'This discards the integer part of the position and uses only the decimal', 'place, and converts this to a subpixel position depending on the', 'subsampling specified. The center of a pixel corresponds to an integer', 'position.', '', ':Parameters:', '', ' **position** : `~numpy.ndarray` or array-like', '', ' Positions in pixels.', '', ' **subsampling** : int', '', ' Subsampling factor per pixel.', '', ':Returns:', '', ' **indices** : `~numpy.ndarray`', '', ' The integer subpixel indices corresponding to the input positions.', '', '.. rubric:: Examples', '', '', 'If no subsampling is used, then the subpixel indices returned are always 0:', '', '>>> from astropy.nddata.utils import subpixel_indices', '>>> subpixel_indices([1.2, 3.4, 5.6],1)', 'array([ 0., 0., 0.])', '', 'If instead we use a subsampling of 2, we see that for the two first values', '(1.1 and 3.4) the subpixel position is 1, while for 5.6 it is 0. This is', 'because the values of 1, 3, and 6 lie in the center of pixels, and 1.1 and', '3.4 lie in the left part of the pixels and 5.6 lies in the right part.', '', '>>> subpixel_indices([1.2, 3.4, 5.5],2)', 'array([ 1., 1., 0.])']:22: WARNING: py:obj reference target not found: numpy.ndarray /<>/docs/api/astropy.nddata.utils.Cutout2D.rst:7: WARNING: py:class reference target not found: object /<>/docs/api/astropy.nddata.utils.Cutout2D.rst:31: WARNING: py:obj reference target not found: numpy.ndarray ["Cutout2D(data, position, size, wcs=None, mode='trim', fill_value=nan, copy=False)", ':module: astropy.nddata.utils', '', 'Bases: :class:`object`', '', '', '', 'Create a cutout object from a 2D array.', '', 'The returned object will contain a 2D cutout array. If', '``copy=False`` (default), the cutout array is a view into the', 'original ``data`` array, otherwise the cutout array will contain a', 'copy of the original data.', '', 'If a `~astropy.wcs.WCS` object is input, then the returned object', 'will also contain a copy of the original WCS, but updated for the', 'cutout array.', '', 'For example usage, see :ref:`cutout_images`.', '', '.. warning::', '', ' The cutout WCS object does not currently handle cases where the', ' input WCS object contains distortion lookup tables described in', ' the `FITS WCS distortion paper', ' `__.', '', ':Parameters:', '', ' **data** : `~numpy.ndarray`', '', ' The 2D data array from which to extract the cutout array.', ' ', '', ' **position** : tuple or `~astropy.coordinates.SkyCoord`', '', " The position of the cutout array's center with respect to", ' the ``data`` array. The position can be specified either as', ' a ``(x, y)`` tuple of pixel coordinates or a', ' `~astropy.coordinates.SkyCoord`, in which case ``wcs`` is a', ' required input.', ' ', '', ' **size** : int, array-like, `~astropy.units.Quantity`', '', ' The size of the cutout array along each axis. If ``size``', ' is a scalar number or a scalar `~astropy.units.Quantity`,', ' then a square cutout of ``size`` will be created. If', ' ``size`` has two elements, they should be in ``(ny, nx)``', ' order. Scalar numbers in ``size`` are assumed to be in', ' units of pixels. ``size`` can also be a', ' `~astropy.units.Quantity` object or contain', ' `~astropy.units.Quantity` objects. Such', ' `~astropy.units.Quantity` objects must be in pixel or', ' angular units. For all cases, ``size`` will be converted to', ' an integer number of pixels, rounding the the nearest', ' integer. See the ``mode`` keyword for additional details on', ' the final cutout size.', ' ', ' .. note::', ' If ``size`` is in angular units, the cutout size is', ' converted to pixels using the pixel scales along each', ' axis of the image at the ``CRPIX`` location. Projection', ' and other non-linear distortions are not taken into', ' account.', ' ', '', ' **wcs** : `~astropy.wcs.WCS`, optional', '', ' A WCS object associated with the input ``data`` array. If', ' ``wcs`` is not `None`, then the returned cutout object will', ' contain a copy of the updated WCS for the cutout data array.', ' ', '', " **mode** : {'trim', 'partial', 'strict'}, optional", '', ' The mode used for creating the cutout data array. For the', " ``'partial'`` and ``'trim'`` modes, a partial overlap of the", ' cutout array and the input ``data`` array is sufficient.', " For the ``'strict'`` mode, the cutout array has to be fully", ' contained within the ``data`` array, otherwise an', ' `~astropy.nddata.utils.PartialOverlapError` is raised. In', ' all modes, non-overlapping arrays will raise a', " `~astropy.nddata.utils.NoOverlapError`. In ``'partial'``", ' mode, positions in the cutout array that do not overlap with', ' the ``data`` array will be filled with ``fill_value``. In', " ``'trim'`` mode only the overlapping elements are returned,", ' thus the resulting cutout array may be smaller than the', ' requested ``shape``.', ' ', '', ' **fill_value** : number, optional', '', " If ``mode='partial'``, the value to fill pixels in the", ' cutout array that do not overlap with the input ``data``.', ' ``fill_value`` must have the same ``dtype`` as the input', ' ``data`` array.', ' ', '', ' **copy** : bool, optional', '', ' If `False` (default), then the cutout data will be a view', ' into the original ``data`` array. If `True`, then the', ' cutout data will hold a copy of the original ``data`` array.', '', '.. rubric:: Examples', '', '', '>>> import numpy as np', '>>> from astropy.nddata.utils import Cutout2D', '>>> from astropy import units as u', '>>> data = np.arange(20.).reshape(5, 4)', '>>> cutout1 = Cutout2D(data, (2, 2), (3, 3))', '>>> print(cutout1.data)', '[[ 5. 6. 7.]', ' [ 9. 10. 11.]', ' [ 13. 14. 15.]]', '', '>>> print(cutout1.center_original)', '(2.0, 2.0)', '>>> print(cutout1.center_cutout)', '(1.0, 1.0)', '>>> print(cutout1.origin_original)', '(1, 1)', '', '>>> cutout2 = Cutout2D(data, (2, 2), 3)', '>>> print(cutout2.data)', '[[ 5. 6. 7.]', ' [ 9. 10. 11.]', ' [ 13. 14. 15.]]', '', '>>> size = u.Quantity([3, 3], u.pixel)', '>>> cutout3 = Cutout2D(data, (0, 0), size)', '>>> print(cutout3.data)', '[[ 0. 1.]', ' [ 4. 5.]]', '', '>>> cutout4 = Cutout2D(data, (0, 0), (3 * u.pixel, 3))', '>>> print(cutout4.data)', '[[ 0. 1.]', ' [ 4. 5.]]', '', ">>> cutout5 = Cutout2D(data, (0, 0), (3, 3), mode='partial')", '>>> print(cutout5.data)', '[[ nan nan nan]', ' [ nan 0. 1.]', ' [ nan 4. 5.]]', '', '.. rubric:: Attributes', '', '', '', '========================================================== ==========', ' data (2D `~numpy.ndarray`) The 2D cutout array. ', ' shape (2 tuple) The ``(ny, nx)`` shape of the cutout array. ', ' shape_input (2 tuple) The ``(ny, nx)`` shape of the input (original) array. ', ' input_position_cutout (2 tuple) The (unrounded) ``(x, y)`` position with respect to the cutout array. ', ' input_position_original (2 tuple) The original (unrounded) ``(x, y)`` input position (with respect to the original array). ', " slices_original (2 tuple of slice objects) A tuple of slice objects for the minimal bounding box of the cutout with respect to the original array. For ``mode='partial'``, the slices are for the valid (non-filled) cutout values. ", " slices_cutout (2 tuple of slice objects) A tuple of slice objects for the minimal bounding box of the cutout with respect to the cutout array. For ``mode='partial'``, the slices are for the valid (non-filled) cutout values. ", "xmin_original, ymin_original, xmax_original, ymax_original (float) The minimum and maximum ``x`` and ``y`` indices of the minimal rectangular region of the cutout array with respect to the original array. For ``mode='partial'``, the bounding box indices are for the valid (non-filled) cutout values. These values are the same as those in `bbox_original`. ", " xmin_cutout, ymin_cutout, xmax_cutout, ymax_cutout (float) The minimum and maximum ``x`` and ``y`` indices of the minimal rectangular region of the cutout array with respect to the cutout array. For ``mode='partial'``, the bounding box indices are for the valid (non-filled) cutout values. These values are the same as those in `bbox_cutout`. ", ' wcs (`~astropy.wcs.WCS` or `None`) A WCS object associated with the cutout array if a ``wcs`` was input. ', '========================================================== ==========', '', '.. rubric:: Attributes Summary', '', '.. autosummary::', '', ' ~Cutout2D.bbox_cutout', ' ~Cutout2D.bbox_original', ' ~Cutout2D.center_cutout', ' ~Cutout2D.center_original', ' ~Cutout2D.origin_cutout', ' ~Cutout2D.origin_original', ' ~Cutout2D.position_cutout', ' ~Cutout2D.position_original', '', '.. rubric:: Methods Summary', '', '.. autosummary::', '', ' ~Cutout2D.plot_on_original', ' ~Cutout2D.to_cutout_position', ' ~Cutout2D.to_original_position', '', '.. rubric:: Attributes Documentation', '', '.. autoattribute:: bbox_cutout', '.. autoattribute:: bbox_original', '.. autoattribute:: center_cutout', '.. autoattribute:: center_original', '.. autoattribute:: origin_cutout', '.. autoattribute:: origin_original', '.. autoattribute:: position_cutout', '.. autoattribute:: position_original', '', '.. rubric:: Methods Documentation', '', '.. automethod:: plot_on_original', '.. automethod:: to_cutout_position', '.. automethod:: to_original_position']:64: WARNING: py:obj reference target not found: None ["Cutout2D(data, position, size, wcs=None, mode='trim', fill_value=nan, copy=False)", ':module: astropy.nddata.utils', '', 'Bases: :class:`object`', '', '', '', 'Create a cutout object from a 2D array.', '', 'The returned object will contain a 2D cutout array. If', '``copy=False`` (default), the cutout array is a view into the', 'original ``data`` array, otherwise the cutout array will contain a', 'copy of the original data.', '', 'If a `~astropy.wcs.WCS` object is input, then the returned object', 'will also contain a copy of the original WCS, but updated for the', 'cutout array.', '', 'For example usage, see :ref:`cutout_images`.', '', '.. warning::', '', ' The cutout WCS object does not currently handle cases where the', ' input WCS object contains distortion lookup tables described in', ' the `FITS WCS distortion paper', ' `__.', '', ':Parameters:', '', ' **data** : `~numpy.ndarray`', '', ' The 2D data array from which to extract the cutout array.', ' ', '', ' **position** : tuple or `~astropy.coordinates.SkyCoord`', '', " The position of the cutout array's center with respect to", ' the ``data`` array. The position can be specified either as', ' a ``(x, y)`` tuple of pixel coordinates or a', ' `~astropy.coordinates.SkyCoord`, in which case ``wcs`` is a', ' required input.', ' ', '', ' **size** : int, array-like, `~astropy.units.Quantity`', '', ' The size of the cutout array along each axis. If ``size``', ' is a scalar number or a scalar `~astropy.units.Quantity`,', ' then a square cutout of ``size`` will be created. If', ' ``size`` has two elements, they should be in ``(ny, nx)``', ' order. Scalar numbers in ``size`` are assumed to be in', ' units of pixels. ``size`` can also be a', ' `~astropy.units.Quantity` object or contain', ' `~astropy.units.Quantity` objects. Such', ' `~astropy.units.Quantity` objects must be in pixel or', ' angular units. For all cases, ``size`` will be converted to', ' an integer number of pixels, rounding the the nearest', ' integer. See the ``mode`` keyword for additional details on', ' the final cutout size.', ' ', ' .. note::', ' If ``size`` is in angular units, the cutout size is', ' converted to pixels using the pixel scales along each', ' axis of the image at the ``CRPIX`` location. Projection', ' and other non-linear distortions are not taken into', ' account.', ' ', '', ' **wcs** : `~astropy.wcs.WCS`, optional', '', ' A WCS object associated with the input ``data`` array. If', ' ``wcs`` is not `None`, then the returned cutout object will', ' contain a copy of the updated WCS for the cutout data array.', ' ', '', " **mode** : {'trim', 'partial', 'strict'}, optional", '', ' The mode used for creating the cutout data array. For the', " ``'partial'`` and ``'trim'`` modes, a partial overlap of the", ' cutout array and the input ``data`` array is sufficient.', " For the ``'strict'`` mode, the cutout array has to be fully", ' contained within the ``data`` array, otherwise an', ' `~astropy.nddata.utils.PartialOverlapError` is raised. In', ' all modes, non-overlapping arrays will raise a', " `~astropy.nddata.utils.NoOverlapError`. In ``'partial'``", ' mode, positions in the cutout array that do not overlap with', ' the ``data`` array will be filled with ``fill_value``. In', " ``'trim'`` mode only the overlapping elements are returned,", ' thus the resulting cutout array may be smaller than the', ' requested ``shape``.', ' ', '', ' **fill_value** : number, optional', '', " If ``mode='partial'``, the value to fill pixels in the", ' cutout array that do not overlap with the input ``data``.', ' ``fill_value`` must have the same ``dtype`` as the input', ' ``data`` array.', ' ', '', ' **copy** : bool, optional', '', ' If `False` (default), then the cutout data will be a view', ' into the original ``data`` array. If `True`, then the', ' cutout data will hold a copy of the original ``data`` array.', '', '.. rubric:: Examples', '', '', '>>> import numpy as np', '>>> from astropy.nddata.utils import Cutout2D', '>>> from astropy import units as u', '>>> data = np.arange(20.).reshape(5, 4)', '>>> cutout1 = Cutout2D(data, (2, 2), (3, 3))', '>>> print(cutout1.data)', '[[ 5. 6. 7.]', ' [ 9. 10. 11.]', ' [ 13. 14. 15.]]', '', '>>> print(cutout1.center_original)', '(2.0, 2.0)', '>>> print(cutout1.center_cutout)', '(1.0, 1.0)', '>>> print(cutout1.origin_original)', '(1, 1)', '', '>>> cutout2 = Cutout2D(data, (2, 2), 3)', '>>> print(cutout2.data)', '[[ 5. 6. 7.]', ' [ 9. 10. 11.]', ' [ 13. 14. 15.]]', '', '>>> size = u.Quantity([3, 3], u.pixel)', '>>> cutout3 = Cutout2D(data, (0, 0), size)', '>>> print(cutout3.data)', '[[ 0. 1.]', ' [ 4. 5.]]', '', '>>> cutout4 = Cutout2D(data, (0, 0), (3 * u.pixel, 3))', '>>> print(cutout4.data)', '[[ 0. 1.]', ' [ 4. 5.]]', '', ">>> cutout5 = Cutout2D(data, (0, 0), (3, 3), mode='partial')", '>>> print(cutout5.data)', '[[ nan nan nan]', ' [ nan 0. 1.]', ' [ nan 4. 5.]]', '', '.. rubric:: Attributes', '', '', '', '========================================================== ==========', ' data (2D `~numpy.ndarray`) The 2D cutout array. ', ' shape (2 tuple) The ``(ny, nx)`` shape of the cutout array. ', ' shape_input (2 tuple) The ``(ny, nx)`` shape of the input (original) array. ', ' input_position_cutout (2 tuple) The (unrounded) ``(x, y)`` position with respect to the cutout array. ', ' input_position_original (2 tuple) The original (unrounded) ``(x, y)`` input position (with respect to the original array). ', " slices_original (2 tuple of slice objects) A tuple of slice objects for the minimal bounding box of the cutout with respect to the original array. For ``mode='partial'``, the slices are for the valid (non-filled) cutout values. ", " slices_cutout (2 tuple of slice objects) A tuple of slice objects for the minimal bounding box of the cutout with respect to the cutout array. For ``mode='partial'``, the slices are for the valid (non-filled) cutout values. ", "xmin_original, ymin_original, xmax_original, ymax_original (float) The minimum and maximum ``x`` and ``y`` indices of the minimal rectangular region of the cutout array with respect to the original array. For ``mode='partial'``, the bounding box indices are for the valid (non-filled) cutout values. These values are the same as those in `bbox_original`. ", " xmin_cutout, ymin_cutout, xmax_cutout, ymax_cutout (float) The minimum and maximum ``x`` and ``y`` indices of the minimal rectangular region of the cutout array with respect to the cutout array. For ``mode='partial'``, the bounding box indices are for the valid (non-filled) cutout values. These values are the same as those in `bbox_cutout`. ", ' wcs (`~astropy.wcs.WCS` or `None`) A WCS object associated with the cutout array if a ``wcs`` was input. ', '========================================================== ==========', '', '.. rubric:: Attributes Summary', '', '.. autosummary::', '', ' ~Cutout2D.bbox_cutout', ' ~Cutout2D.bbox_original', ' ~Cutout2D.center_cutout', ' ~Cutout2D.center_original', ' ~Cutout2D.origin_cutout', ' ~Cutout2D.origin_original', ' ~Cutout2D.position_cutout', ' ~Cutout2D.position_original', '', '.. rubric:: Methods Summary', '', '.. autosummary::', '', ' ~Cutout2D.plot_on_original', ' ~Cutout2D.to_cutout_position', ' ~Cutout2D.to_original_position', '', '.. rubric:: Attributes Documentation', '', '.. autoattribute:: bbox_cutout', '.. autoattribute:: bbox_original', '.. autoattribute:: center_cutout', '.. autoattribute:: center_original', '.. autoattribute:: origin_cutout', '.. autoattribute:: origin_original', '.. autoattribute:: position_cutout', '.. autoattribute:: position_original', '', '.. rubric:: Methods Documentation', '', '.. automethod:: plot_on_original', '.. automethod:: to_cutout_position', '.. automethod:: to_original_position']:93: WARNING: py:obj reference target not found: False ["Cutout2D(data, position, size, wcs=None, mode='trim', fill_value=nan, copy=False)", ':module: astropy.nddata.utils', '', 'Bases: :class:`object`', '', '', '', 'Create a cutout object from a 2D array.', '', 'The returned object will contain a 2D cutout array. If', '``copy=False`` (default), the cutout array is a view into the', 'original ``data`` array, otherwise the cutout array will contain a', 'copy of the original data.', '', 'If a `~astropy.wcs.WCS` object is input, then the returned object', 'will also contain a copy of the original WCS, but updated for the', 'cutout array.', '', 'For example usage, see :ref:`cutout_images`.', '', '.. warning::', '', ' The cutout WCS object does not currently handle cases where the', ' input WCS object contains distortion lookup tables described in', ' the `FITS WCS distortion paper', ' `__.', '', ':Parameters:', '', ' **data** : `~numpy.ndarray`', '', ' The 2D data array from which to extract the cutout array.', ' ', '', ' **position** : tuple or `~astropy.coordinates.SkyCoord`', '', " The position of the cutout array's center with respect to", ' the ``data`` array. The position can be specified either as', ' a ``(x, y)`` tuple of pixel coordinates or a', ' `~astropy.coordinates.SkyCoord`, in which case ``wcs`` is a', ' required input.', ' ', '', ' **size** : int, array-like, `~astropy.units.Quantity`', '', ' The size of the cutout array along each axis. If ``size``', ' is a scalar number or a scalar `~astropy.units.Quantity`,', ' then a square cutout of ``size`` will be created. If', ' ``size`` has two elements, they should be in ``(ny, nx)``', ' order. Scalar numbers in ``size`` are assumed to be in', ' units of pixels. ``size`` can also be a', ' `~astropy.units.Quantity` object or contain', ' `~astropy.units.Quantity` objects. Such', ' `~astropy.units.Quantity` objects must be in pixel or', ' angular units. For all cases, ``size`` will be converted to', ' an integer number of pixels, rounding the the nearest', ' integer. See the ``mode`` keyword for additional details on', ' the final cutout size.', ' ', ' .. note::', ' If ``size`` is in angular units, the cutout size is', ' converted to pixels using the pixel scales along each', ' axis of the image at the ``CRPIX`` location. Projection', ' and other non-linear distortions are not taken into', ' account.', ' ', '', ' **wcs** : `~astropy.wcs.WCS`, optional', '', ' A WCS object associated with the input ``data`` array. If', ' ``wcs`` is not `None`, then the returned cutout object will', ' contain a copy of the updated WCS for the cutout data array.', ' ', '', " **mode** : {'trim', 'partial', 'strict'}, optional", '', ' The mode used for creating the cutout data array. For the', " ``'partial'`` and ``'trim'`` modes, a partial overlap of the", ' cutout array and the input ``data`` array is sufficient.', " For the ``'strict'`` mode, the cutout array has to be fully", ' contained within the ``data`` array, otherwise an', ' `~astropy.nddata.utils.PartialOverlapError` is raised. In', ' all modes, non-overlapping arrays will raise a', " `~astropy.nddata.utils.NoOverlapError`. In ``'partial'``", ' mode, positions in the cutout array that do not overlap with', ' the ``data`` array will be filled with ``fill_value``. In', " ``'trim'`` mode only the overlapping elements are returned,", ' thus the resulting cutout array may be smaller than the', ' requested ``shape``.', ' ', '', ' **fill_value** : number, optional', '', " If ``mode='partial'``, the value to fill pixels in the", ' cutout array that do not overlap with the input ``data``.', ' ``fill_value`` must have the same ``dtype`` as the input', ' ``data`` array.', ' ', '', ' **copy** : bool, optional', '', ' If `False` (default), then the cutout data will be a view', ' into the original ``data`` array. If `True`, then the', ' cutout data will hold a copy of the original ``data`` array.', '', '.. rubric:: Examples', '', '', '>>> import numpy as np', '>>> from astropy.nddata.utils import Cutout2D', '>>> from astropy import units as u', '>>> data = np.arange(20.).reshape(5, 4)', '>>> cutout1 = Cutout2D(data, (2, 2), (3, 3))', '>>> print(cutout1.data)', '[[ 5. 6. 7.]', ' [ 9. 10. 11.]', ' [ 13. 14. 15.]]', '', '>>> print(cutout1.center_original)', '(2.0, 2.0)', '>>> print(cutout1.center_cutout)', '(1.0, 1.0)', '>>> print(cutout1.origin_original)', '(1, 1)', '', '>>> cutout2 = Cutout2D(data, (2, 2), 3)', '>>> print(cutout2.data)', '[[ 5. 6. 7.]', ' [ 9. 10. 11.]', ' [ 13. 14. 15.]]', '', '>>> size = u.Quantity([3, 3], u.pixel)', '>>> cutout3 = Cutout2D(data, (0, 0), size)', '>>> print(cutout3.data)', '[[ 0. 1.]', ' [ 4. 5.]]', '', '>>> cutout4 = Cutout2D(data, (0, 0), (3 * u.pixel, 3))', '>>> print(cutout4.data)', '[[ 0. 1.]', ' [ 4. 5.]]', '', ">>> cutout5 = Cutout2D(data, (0, 0), (3, 3), mode='partial')", '>>> print(cutout5.data)', '[[ nan nan nan]', ' [ nan 0. 1.]', ' [ nan 4. 5.]]', '', '.. rubric:: Attributes', '', '', '', '========================================================== ==========', ' data (2D `~numpy.ndarray`) The 2D cutout array. ', ' shape (2 tuple) The ``(ny, nx)`` shape of the cutout array. ', ' shape_input (2 tuple) The ``(ny, nx)`` shape of the input (original) array. ', ' input_position_cutout (2 tuple) The (unrounded) ``(x, y)`` position with respect to the cutout array. ', ' input_position_original (2 tuple) The original (unrounded) ``(x, y)`` input position (with respect to the original array). ', " slices_original (2 tuple of slice objects) A tuple of slice objects for the minimal bounding box of the cutout with respect to the original array. For ``mode='partial'``, the slices are for the valid (non-filled) cutout values. ", " slices_cutout (2 tuple of slice objects) A tuple of slice objects for the minimal bounding box of the cutout with respect to the cutout array. For ``mode='partial'``, the slices are for the valid (non-filled) cutout values. ", "xmin_original, ymin_original, xmax_original, ymax_original (float) The minimum and maximum ``x`` and ``y`` indices of the minimal rectangular region of the cutout array with respect to the original array. For ``mode='partial'``, the bounding box indices are for the valid (non-filled) cutout values. These values are the same as those in `bbox_original`. ", " xmin_cutout, ymin_cutout, xmax_cutout, ymax_cutout (float) The minimum and maximum ``x`` and ``y`` indices of the minimal rectangular region of the cutout array with respect to the cutout array. For ``mode='partial'``, the bounding box indices are for the valid (non-filled) cutout values. These values are the same as those in `bbox_cutout`. ", ' wcs (`~astropy.wcs.WCS` or `None`) A WCS object associated with the cutout array if a ``wcs`` was input. ', '========================================================== ==========', '', '.. rubric:: Attributes Summary', '', '.. autosummary::', '', ' ~Cutout2D.bbox_cutout', ' ~Cutout2D.bbox_original', ' ~Cutout2D.center_cutout', ' ~Cutout2D.center_original', ' ~Cutout2D.origin_cutout', ' ~Cutout2D.origin_original', ' ~Cutout2D.position_cutout', ' ~Cutout2D.position_original', '', '.. rubric:: Methods Summary', '', '.. autosummary::', '', ' ~Cutout2D.plot_on_original', ' ~Cutout2D.to_cutout_position', ' ~Cutout2D.to_original_position', '', '.. rubric:: Attributes Documentation', '', '.. autoattribute:: bbox_cutout', '.. autoattribute:: bbox_original', '.. autoattribute:: center_cutout', '.. autoattribute:: center_original', '.. autoattribute:: origin_cutout', '.. autoattribute:: origin_original', '.. autoattribute:: position_cutout', '.. autoattribute:: position_original', '', '.. rubric:: Methods Documentation', '', '.. automethod:: plot_on_original', '.. automethod:: to_cutout_position', '.. automethod:: to_original_position']:93: WARNING: py:obj reference target not found: True ["Cutout2D(data, position, size, wcs=None, mode='trim', fill_value=nan, copy=False)", ':module: astropy.nddata.utils', '', 'Bases: :class:`object`', '', '', '', 'Create a cutout object from a 2D array.', '', 'The returned object will contain a 2D cutout array. If', '``copy=False`` (default), the cutout array is a view into the', 'original ``data`` array, otherwise the cutout array will contain a', 'copy of the original data.', '', 'If a `~astropy.wcs.WCS` object is input, then the returned object', 'will also contain a copy of the original WCS, but updated for the', 'cutout array.', '', 'For example usage, see :ref:`cutout_images`.', '', '.. warning::', '', ' The cutout WCS object does not currently handle cases where the', ' input WCS object contains distortion lookup tables described in', ' the `FITS WCS distortion paper', ' `__.', '', ':Parameters:', '', ' **data** : `~numpy.ndarray`', '', ' The 2D data array from which to extract the cutout array.', ' ', '', ' **position** : tuple or `~astropy.coordinates.SkyCoord`', '', " The position of the cutout array's center with respect to", ' the ``data`` array. The position can be specified either as', ' a ``(x, y)`` tuple of pixel coordinates or a', ' `~astropy.coordinates.SkyCoord`, in which case ``wcs`` is a', ' required input.', ' ', '', ' **size** : int, array-like, `~astropy.units.Quantity`', '', ' The size of the cutout array along each axis. If ``size``', ' is a scalar number or a scalar `~astropy.units.Quantity`,', ' then a square cutout of ``size`` will be created. If', ' ``size`` has two elements, they should be in ``(ny, nx)``', ' order. Scalar numbers in ``size`` are assumed to be in', ' units of pixels. ``size`` can also be a', ' `~astropy.units.Quantity` object or contain', ' `~astropy.units.Quantity` objects. Such', ' `~astropy.units.Quantity` objects must be in pixel or', ' angular units. For all cases, ``size`` will be converted to', ' an integer number of pixels, rounding the the nearest', ' integer. See the ``mode`` keyword for additional details on', ' the final cutout size.', ' ', ' .. note::', ' If ``size`` is in angular units, the cutout size is', ' converted to pixels using the pixel scales along each', ' axis of the image at the ``CRPIX`` location. Projection', ' and other non-linear distortions are not taken into', ' account.', ' ', '', ' **wcs** : `~astropy.wcs.WCS`, optional', '', ' A WCS object associated with the input ``data`` array. If', ' ``wcs`` is not `None`, then the returned cutout object will', ' contain a copy of the updated WCS for the cutout data array.', ' ', '', " **mode** : {'trim', 'partial', 'strict'}, optional", '', ' The mode used for creating the cutout data array. For the', " ``'partial'`` and ``'trim'`` modes, a partial overlap of the", ' cutout array and the input ``data`` array is sufficient.', " For the ``'strict'`` mode, the cutout array has to be fully", ' contained within the ``data`` array, otherwise an', ' `~astropy.nddata.utils.PartialOverlapError` is raised. In', ' all modes, non-overlapping arrays will raise a', " `~astropy.nddata.utils.NoOverlapError`. In ``'partial'``", ' mode, positions in the cutout array that do not overlap with', ' the ``data`` array will be filled with ``fill_value``. In', " ``'trim'`` mode only the overlapping elements are returned,", ' thus the resulting cutout array may be smaller than the', ' requested ``shape``.', ' ', '', ' **fill_value** : number, optional', '', " If ``mode='partial'``, the value to fill pixels in the", ' cutout array that do not overlap with the input ``data``.', ' ``fill_value`` must have the same ``dtype`` as the input', ' ``data`` array.', ' ', '', ' **copy** : bool, optional', '', ' If `False` (default), then the cutout data will be a view', ' into the original ``data`` array. If `True`, then the', ' cutout data will hold a copy of the original ``data`` array.', '', '.. rubric:: Examples', '', '', '>>> import numpy as np', '>>> from astropy.nddata.utils import Cutout2D', '>>> from astropy import units as u', '>>> data = np.arange(20.).reshape(5, 4)', '>>> cutout1 = Cutout2D(data, (2, 2), (3, 3))', '>>> print(cutout1.data)', '[[ 5. 6. 7.]', ' [ 9. 10. 11.]', ' [ 13. 14. 15.]]', '', '>>> print(cutout1.center_original)', '(2.0, 2.0)', '>>> print(cutout1.center_cutout)', '(1.0, 1.0)', '>>> print(cutout1.origin_original)', '(1, 1)', '', '>>> cutout2 = Cutout2D(data, (2, 2), 3)', '>>> print(cutout2.data)', '[[ 5. 6. 7.]', ' [ 9. 10. 11.]', ' [ 13. 14. 15.]]', '', '>>> size = u.Quantity([3, 3], u.pixel)', '>>> cutout3 = Cutout2D(data, (0, 0), size)', '>>> print(cutout3.data)', '[[ 0. 1.]', ' [ 4. 5.]]', '', '>>> cutout4 = Cutout2D(data, (0, 0), (3 * u.pixel, 3))', '>>> print(cutout4.data)', '[[ 0. 1.]', ' [ 4. 5.]]', '', ">>> cutout5 = Cutout2D(data, (0, 0), (3, 3), mode='partial')", '>>> print(cutout5.data)', '[[ nan nan nan]', ' [ nan 0. 1.]', ' [ nan 4. 5.]]', '', '.. rubric:: Attributes', '', '', '', '========================================================== ==========', ' data (2D `~numpy.ndarray`) The 2D cutout array. ', ' shape (2 tuple) The ``(ny, nx)`` shape of the cutout array. ', ' shape_input (2 tuple) The ``(ny, nx)`` shape of the input (original) array. ', ' input_position_cutout (2 tuple) The (unrounded) ``(x, y)`` position with respect to the cutout array. ', ' input_position_original (2 tuple) The original (unrounded) ``(x, y)`` input position (with respect to the original array). ', " slices_original (2 tuple of slice objects) A tuple of slice objects for the minimal bounding box of the cutout with respect to the original array. For ``mode='partial'``, the slices are for the valid (non-filled) cutout values. ", " slices_cutout (2 tuple of slice objects) A tuple of slice objects for the minimal bounding box of the cutout with respect to the cutout array. For ``mode='partial'``, the slices are for the valid (non-filled) cutout values. ", "xmin_original, ymin_original, xmax_original, ymax_original (float) The minimum and maximum ``x`` and ``y`` indices of the minimal rectangular region of the cutout array with respect to the original array. For ``mode='partial'``, the bounding box indices are for the valid (non-filled) cutout values. These values are the same as those in `bbox_original`. ", " xmin_cutout, ymin_cutout, xmax_cutout, ymax_cutout (float) The minimum and maximum ``x`` and ``y`` indices of the minimal rectangular region of the cutout array with respect to the cutout array. For ``mode='partial'``, the bounding box indices are for the valid (non-filled) cutout values. These values are the same as those in `bbox_cutout`. ", ' wcs (`~astropy.wcs.WCS` or `None`) A WCS object associated with the cutout array if a ``wcs`` was input. ', '========================================================== ==========', '', '.. rubric:: Attributes Summary', '', '.. autosummary::', '', ' ~Cutout2D.bbox_cutout', ' ~Cutout2D.bbox_original', ' ~Cutout2D.center_cutout', ' ~Cutout2D.center_original', ' ~Cutout2D.origin_cutout', ' ~Cutout2D.origin_original', ' ~Cutout2D.position_cutout', ' ~Cutout2D.position_original', '', '.. rubric:: Methods Summary', '', '.. autosummary::', '', ' ~Cutout2D.plot_on_original', ' ~Cutout2D.to_cutout_position', ' ~Cutout2D.to_original_position', '', '.. rubric:: Attributes Documentation', '', '.. autoattribute:: bbox_cutout', '.. autoattribute:: bbox_original', '.. autoattribute:: center_cutout', '.. autoattribute:: center_original', '.. autoattribute:: origin_cutout', '.. autoattribute:: origin_original', '.. autoattribute:: position_cutout', '.. autoattribute:: position_original', '', '.. rubric:: Methods Documentation', '', '.. automethod:: plot_on_original', '.. automethod:: to_cutout_position', '.. automethod:: to_original_position']:142: WARNING: py:obj reference target not found: numpy.ndarray ["Cutout2D(data, position, size, wcs=None, mode='trim', fill_value=nan, copy=False)", ':module: astropy.nddata.utils', '', 'Bases: :class:`object`', '', '', '', 'Create a cutout object from a 2D array.', '', 'The returned object will contain a 2D cutout array. If', '``copy=False`` (default), the cutout array is a view into the', 'original ``data`` array, otherwise the cutout array will contain a', 'copy of the original data.', '', 'If a `~astropy.wcs.WCS` object is input, then the returned object', 'will also contain a copy of the original WCS, but updated for the', 'cutout array.', '', 'For example usage, see :ref:`cutout_images`.', '', '.. warning::', '', ' The cutout WCS object does not currently handle cases where the', ' input WCS object contains distortion lookup tables described in', ' the `FITS WCS distortion paper', ' `__.', '', ':Parameters:', '', ' **data** : `~numpy.ndarray`', '', ' The 2D data array from which to extract the cutout array.', ' ', '', ' **position** : tuple or `~astropy.coordinates.SkyCoord`', '', " The position of the cutout array's center with respect to", ' the ``data`` array. The position can be specified either as', ' a ``(x, y)`` tuple of pixel coordinates or a', ' `~astropy.coordinates.SkyCoord`, in which case ``wcs`` is a', ' required input.', ' ', '', ' **size** : int, array-like, `~astropy.units.Quantity`', '', ' The size of the cutout array along each axis. If ``size``', ' is a scalar number or a scalar `~astropy.units.Quantity`,', ' then a square cutout of ``size`` will be created. If', ' ``size`` has two elements, they should be in ``(ny, nx)``', ' order. Scalar numbers in ``size`` are assumed to be in', ' units of pixels. ``size`` can also be a', ' `~astropy.units.Quantity` object or contain', ' `~astropy.units.Quantity` objects. Such', ' `~astropy.units.Quantity` objects must be in pixel or', ' angular units. For all cases, ``size`` will be converted to', ' an integer number of pixels, rounding the the nearest', ' integer. See the ``mode`` keyword for additional details on', ' the final cutout size.', ' ', ' .. note::', ' If ``size`` is in angular units, the cutout size is', ' converted to pixels using the pixel scales along each', ' axis of the image at the ``CRPIX`` location. Projection', ' and other non-linear distortions are not taken into', ' account.', ' ', '', ' **wcs** : `~astropy.wcs.WCS`, optional', '', ' A WCS object associated with the input ``data`` array. If', ' ``wcs`` is not `None`, then the returned cutout object will', ' contain a copy of the updated WCS for the cutout data array.', ' ', '', " **mode** : {'trim', 'partial', 'strict'}, optional", '', ' The mode used for creating the cutout data array. For the', " ``'partial'`` and ``'trim'`` modes, a partial overlap of the", ' cutout array and the input ``data`` array is sufficient.', " For the ``'strict'`` mode, the cutout array has to be fully", ' contained within the ``data`` array, otherwise an', ' `~astropy.nddata.utils.PartialOverlapError` is raised. In', ' all modes, non-overlapping arrays will raise a', " `~astropy.nddata.utils.NoOverlapError`. In ``'partial'``", ' mode, positions in the cutout array that do not overlap with', ' the ``data`` array will be filled with ``fill_value``. In', " ``'trim'`` mode only the overlapping elements are returned,", ' thus the resulting cutout array may be smaller than the', ' requested ``shape``.', ' ', '', ' **fill_value** : number, optional', '', " If ``mode='partial'``, the value to fill pixels in the", ' cutout array that do not overlap with the input ``data``.', ' ``fill_value`` must have the same ``dtype`` as the input', ' ``data`` array.', ' ', '', ' **copy** : bool, optional', '', ' If `False` (default), then the cutout data will be a view', ' into the original ``data`` array. If `True`, then the', ' cutout data will hold a copy of the original ``data`` array.', '', '.. rubric:: Examples', '', '', '>>> import numpy as np', '>>> from astropy.nddata.utils import Cutout2D', '>>> from astropy import units as u', '>>> data = np.arange(20.).reshape(5, 4)', '>>> cutout1 = Cutout2D(data, (2, 2), (3, 3))', '>>> print(cutout1.data)', '[[ 5. 6. 7.]', ' [ 9. 10. 11.]', ' [ 13. 14. 15.]]', '', '>>> print(cutout1.center_original)', '(2.0, 2.0)', '>>> print(cutout1.center_cutout)', '(1.0, 1.0)', '>>> print(cutout1.origin_original)', '(1, 1)', '', '>>> cutout2 = Cutout2D(data, (2, 2), 3)', '>>> print(cutout2.data)', '[[ 5. 6. 7.]', ' [ 9. 10. 11.]', ' [ 13. 14. 15.]]', '', '>>> size = u.Quantity([3, 3], u.pixel)', '>>> cutout3 = Cutout2D(data, (0, 0), size)', '>>> print(cutout3.data)', '[[ 0. 1.]', ' [ 4. 5.]]', '', '>>> cutout4 = Cutout2D(data, (0, 0), (3 * u.pixel, 3))', '>>> print(cutout4.data)', '[[ 0. 1.]', ' [ 4. 5.]]', '', ">>> cutout5 = Cutout2D(data, (0, 0), (3, 3), mode='partial')", '>>> print(cutout5.data)', '[[ nan nan nan]', ' [ nan 0. 1.]', ' [ nan 4. 5.]]', '', '.. rubric:: Attributes', '', '', '', '========================================================== ==========', ' data (2D `~numpy.ndarray`) The 2D cutout array. ', ' shape (2 tuple) The ``(ny, nx)`` shape of the cutout array. ', ' shape_input (2 tuple) The ``(ny, nx)`` shape of the input (original) array. ', ' input_position_cutout (2 tuple) The (unrounded) ``(x, y)`` position with respect to the cutout array. ', ' input_position_original (2 tuple) The original (unrounded) ``(x, y)`` input position (with respect to the original array). ', " slices_original (2 tuple of slice objects) A tuple of slice objects for the minimal bounding box of the cutout with respect to the original array. For ``mode='partial'``, the slices are for the valid (non-filled) cutout values. ", " slices_cutout (2 tuple of slice objects) A tuple of slice objects for the minimal bounding box of the cutout with respect to the cutout array. For ``mode='partial'``, the slices are for the valid (non-filled) cutout values. ", "xmin_original, ymin_original, xmax_original, ymax_original (float) The minimum and maximum ``x`` and ``y`` indices of the minimal rectangular region of the cutout array with respect to the original array. For ``mode='partial'``, the bounding box indices are for the valid (non-filled) cutout values. These values are the same as those in `bbox_original`. ", " xmin_cutout, ymin_cutout, xmax_cutout, ymax_cutout (float) The minimum and maximum ``x`` and ``y`` indices of the minimal rectangular region of the cutout array with respect to the cutout array. For ``mode='partial'``, the bounding box indices are for the valid (non-filled) cutout values. These values are the same as those in `bbox_cutout`. ", ' wcs (`~astropy.wcs.WCS` or `None`) A WCS object associated with the cutout array if a ``wcs`` was input. ', '========================================================== ==========', '', '.. rubric:: Attributes Summary', '', '.. autosummary::', '', ' ~Cutout2D.bbox_cutout', ' ~Cutout2D.bbox_original', ' ~Cutout2D.center_cutout', ' ~Cutout2D.center_original', ' ~Cutout2D.origin_cutout', ' ~Cutout2D.origin_original', ' ~Cutout2D.position_cutout', ' ~Cutout2D.position_original', '', '.. rubric:: Methods Summary', '', '.. autosummary::', '', ' ~Cutout2D.plot_on_original', ' ~Cutout2D.to_cutout_position', ' ~Cutout2D.to_original_position', '', '.. rubric:: Attributes Documentation', '', '.. autoattribute:: bbox_cutout', '.. autoattribute:: bbox_original', '.. autoattribute:: center_cutout', '.. autoattribute:: center_original', '.. autoattribute:: origin_cutout', '.. autoattribute:: origin_original', '.. autoattribute:: position_cutout', '.. autoattribute:: position_original', '', '.. rubric:: Methods Documentation', '', '.. automethod:: plot_on_original', '.. automethod:: to_cutout_position', '.. automethod:: to_original_position']:151: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.nddata.utils.Cutout2D.rst:13: WARNING: py:obj reference target not found: matplotlib.axes.Axes /<>/docs/api/astropy.nddata.utils.Cutout2D.rst:15: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.nddata.utils.Cutout2D.rst:15: WARNING: py:obj reference target not found: matplotlib.axes.Axes /<>/docs/api/astropy.nddata.utils.Cutout2D.rst:20: WARNING: py:obj reference target not found: False /<>/docs/api/astropy.nddata.utils.Cutout2D.rst:25: WARNING: py:obj reference target not found: matplotlib.patches.Patch /<>/docs/api/astropy.nddata.utils.Cutout2D.rst:29: WARNING: py:obj reference target not found: matplotlib.axes.Axes /<>/docs/api/astropy.nddata.utils.add_array.rst:13: WARNING: py:obj reference target not found: numpy.ndarray /<>/docs/api/astropy.nddata.utils.add_array.rst:17: WARNING: py:obj reference target not found: numpy.ndarray ['add_array(array_large, array_small, position)', ':module: astropy.nddata.utils', '', '', '', 'Add a smaller array at a given position in a larger array.', '', '', ':Parameters:', '', ' **array_large** : `~numpy.ndarray`', '', ' Large array.', '', ' **array_small** : `~numpy.ndarray`', '', ' Small array to add.', '', ' **position** : tuple', '', " Position of the small array's center, with respect to the large array.", ' Coordinates should be in the same order as the array shape.', '', ':Returns:', '', ' **new_array** : `~numpy.ndarray`', '', ' The new array formed from the sum of ``array_large`` and', ' ``array_small``.', '', '.. rubric:: Notes', '', '', 'The addition is done in-place.', '', '.. rubric:: Examples', '', '', 'We consider a large array of zeros with the shape 5x5 and a small', 'array of ones with a shape of 3x3:', '', '>>> import numpy as np', '>>> from astropy.nddata.utils import add_array', '>>> large_array = np.zeros((5, 5))', '>>> small_array = np.ones((3, 3))', '>>> add_array(large_array, small_array, (1, 2))', 'array([[ 0., 1., 1., 1., 0.],', ' [ 0., 1., 1., 1., 0.],', ' [ 0., 1., 1., 1., 0.],', ' [ 0., 0., 0., 0., 0.],', ' [ 0., 0., 0., 0., 0.]])']:22: WARNING: py:obj reference target not found: numpy.ndarray ['block_reduce(data, block_size, func=)', ':module: astropy.nddata.utils', '', '', '', 'Downsample a data array by applying a function to local blocks.', '', 'If ``data`` is not perfectly divisible by ``block_size`` along a', 'given axis then the data will be trimmed (from the end) along that', 'axis.', '', ':Parameters:', '', ' **data** : array_like', '', ' The data to be resampled.', ' ', '', ' **block_size** : int or array_like (int)', '', ' The integer block size along each axis. If ``block_size`` is a', ' scalar and ``data`` has more than one dimension, then', ' ``block_size`` will be used for for every axis.', ' ', '', ' **func** : callable, optional', '', ' The method to use to downsample the data. Must be a callable', ' that takes in a `~numpy.ndarray` along with an ``axis`` keyword,', ' which defines the axis along which the function is applied. The', ' default is `~numpy.sum`, which provides block summation (and', ' conserves the data sum).', '', ':Returns:', '', ' **output** : array-like', '', ' The resampled data.', '', '.. rubric:: Examples', '', '', '>>> import numpy as np', '>>> from astropy.nddata.utils import block_reduce', '>>> data = np.arange(16).reshape(4, 4)', '>>> block_reduce(data, 2) # doctest: +SKIP', 'array([[10, 18],', ' [42, 50]])', '', '>>> block_reduce(data, 2, func=np.mean) # doctest: +SKIP', 'array([[ 2.5, 4.5],', ' [ 10.5, 12.5]])']:23: WARNING: py:obj reference target not found: numpy.ndarray ['block_reduce(data, block_size, func=)', ':module: astropy.nddata.utils', '', '', '', 'Downsample a data array by applying a function to local blocks.', '', 'If ``data`` is not perfectly divisible by ``block_size`` along a', 'given axis then the data will be trimmed (from the end) along that', 'axis.', '', ':Parameters:', '', ' **data** : array_like', '', ' The data to be resampled.', ' ', '', ' **block_size** : int or array_like (int)', '', ' The integer block size along each axis. If ``block_size`` is a', ' scalar and ``data`` has more than one dimension, then', ' ``block_size`` will be used for for every axis.', ' ', '', ' **func** : callable, optional', '', ' The method to use to downsample the data. Must be a callable', ' that takes in a `~numpy.ndarray` along with an ``axis`` keyword,', ' which defines the axis along which the function is applied. The', ' default is `~numpy.sum`, which provides block summation (and', ' conserves the data sum).', '', ':Returns:', '', ' **output** : array-like', '', ' The resampled data.', '', '.. rubric:: Examples', '', '', '>>> import numpy as np', '>>> from astropy.nddata.utils import block_reduce', '>>> data = np.arange(16).reshape(4, 4)', '>>> block_reduce(data, 2) # doctest: +SKIP', 'array([[10, 18],', ' [42, 50]])', '', '>>> block_reduce(data, 2, func=np.mean) # doctest: +SKIP', 'array([[ 2.5, 4.5],', ' [ 10.5, 12.5]])']:23: WARNING: py:obj reference target not found: numpy.sum ['block_replicate(data, block_size, conserve_sum=True)', ':module: astropy.nddata.utils', '', '', '', 'Upsample a data array by block replication.', '', '', ':Parameters:', '', ' **data** : array_like', '', ' The data to be block replicated.', ' ', '', ' **block_size** : int or array_like (int)', '', ' The integer block size along each axis. If ``block_size`` is a', ' scalar and ``data`` has more than one dimension, then', ' ``block_size`` will be used for for every axis.', ' ', '', ' **conserve_sum** : bool, optional', '', ' If `True` (the default) then the sum of the output', ' block-replicated data will equal the sum of the input ``data``.', '', ':Returns:', '', ' **output** : array_like', '', ' The block-replicated data.', '', '.. rubric:: Examples', '', '', '>>> import numpy as np', '>>> from astropy.nddata.utils import block_replicate', '>>> data = np.array([[0., 1.], [2., 3.]])', '>>> block_replicate(data, 2)', 'array([[ 0. , 0. , 0.25, 0.25],', ' [ 0. , 0. , 0.25, 0.25],', ' [ 0.5 , 0.5 , 0.75, 0.75],', ' [ 0.5 , 0.5 , 0.75, 0.75]])', '', '>>> block_replicate(data, 2, conserve_sum=False)', 'array([[ 0., 0., 1., 1.],', ' [ 0., 0., 1., 1.],', ' [ 2., 2., 3., 3.],', ' [ 2., 2., 3., 3.]])']:19: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.nddata.utils.extract_array.rst:14: WARNING: py:obj reference target not found: numpy.ndarray ["extract_array(array_large, shape, position, mode='partial', fill_value=nan, return_position=False)", ':module: astropy.nddata.utils', '', '', '', 'Extract a smaller array of the given shape and position from a', 'larger array.', '', '', ':Parameters:', '', ' **array_large** : `~numpy.ndarray`', '', ' The array from which to extract the small array.', '', ' **shape** : tuple or int', '', ' The shape of the extracted array (for 1D arrays, this can be an', ' `int`). See the ``mode`` keyword for additional details.', '', ' **position** : tuple of numbers or number', '', " The position of the small array's center with respect to the", ' large array. The pixel coordinates should be in the same order', ' as the array shape. Integer positions are at the pixel centers', ' (for 1D arrays, this can be a number).', '', " **mode** : {'partial', 'trim', 'strict'}, optional", '', ' The mode used for extracting the small array. For the', " ``'partial'`` and ``'trim'`` modes, a partial overlap of the", ' small array and the large array is sufficient. For the', " ``'strict'`` mode, the small array has to be fully contained", ' within the large array, otherwise an', ' `~astropy.nddata.utils.PartialOverlapError` is raised. In all', ' modes, non-overlapping arrays will raise a', " `~astropy.nddata.utils.NoOverlapError`. In ``'partial'`` mode,", ' positions in the small array that do not overlap with the large', " array will be filled with ``fill_value``. In ``'trim'`` mode", ' only the overlapping elements are returned, thus the resulting', ' small array may be smaller than the requested ``shape``.', '', ' **fill_value** : number, optional', '', " If ``mode='partial'``, the value to fill pixels in the extracted", ' small array that do not overlap with the input ``array_large``.', ' ``fill_value`` must have the same ``dtype`` as the', ' ``array_large`` array.', '', ' **return_position** : boolean, optional', '', ' If `True`, return the coordinates of ``position`` in the', ' coordinate system of the returned array.', '', ':Returns:', '', ' **array_small** : `~numpy.ndarray`', '', ' The extracted array.', '', ' **new_position** : tuple', '', ' If ``return_position`` is true, this tuple will contain the', ' coordinates of the input ``position`` in the coordinate system', ' of ``array_small``. Note that for partially overlapping arrays,', ' ``new_position`` might actually be outside of the', ' ``array_small``; ``array_small[new_position]`` might give wrong', ' results if any element in ``new_position`` is negative.', '', '.. rubric:: Examples', '', '', 'We consider a large array with the shape 11x10, from which we extract', 'a small array of shape 3x5:', '', '>>> import numpy as np', '>>> from astropy.nddata.utils import extract_array', '>>> large_array = np.arange(110).reshape((11, 10))', '>>> extract_array(large_array, (3, 5), (7, 7))', 'array([[65, 66, 67, 68, 69],', ' [75, 76, 77, 78, 79],', ' [85, 86, 87, 88, 89]])']:14: WARNING: py:obj reference target not found: int ["extract_array(array_large, shape, position, mode='partial', fill_value=nan, return_position=False)", ':module: astropy.nddata.utils', '', '', '', 'Extract a smaller array of the given shape and position from a', 'larger array.', '', '', ':Parameters:', '', ' **array_large** : `~numpy.ndarray`', '', ' The array from which to extract the small array.', '', ' **shape** : tuple or int', '', ' The shape of the extracted array (for 1D arrays, this can be an', ' `int`). See the ``mode`` keyword for additional details.', '', ' **position** : tuple of numbers or number', '', " The position of the small array's center with respect to the", ' large array. The pixel coordinates should be in the same order', ' as the array shape. Integer positions are at the pixel centers', ' (for 1D arrays, this can be a number).', '', " **mode** : {'partial', 'trim', 'strict'}, optional", '', ' The mode used for extracting the small array. For the', " ``'partial'`` and ``'trim'`` modes, a partial overlap of the", ' small array and the large array is sufficient. For the', " ``'strict'`` mode, the small array has to be fully contained", ' within the large array, otherwise an', ' `~astropy.nddata.utils.PartialOverlapError` is raised. In all', ' modes, non-overlapping arrays will raise a', " `~astropy.nddata.utils.NoOverlapError`. In ``'partial'`` mode,", ' positions in the small array that do not overlap with the large', " array will be filled with ``fill_value``. In ``'trim'`` mode", ' only the overlapping elements are returned, thus the resulting', ' small array may be smaller than the requested ``shape``.', '', ' **fill_value** : number, optional', '', " If ``mode='partial'``, the value to fill pixels in the extracted", ' small array that do not overlap with the input ``array_large``.', ' ``fill_value`` must have the same ``dtype`` as the', ' ``array_large`` array.', '', ' **return_position** : boolean, optional', '', ' If `True`, return the coordinates of ``position`` in the', ' coordinate system of the returned array.', '', ':Returns:', '', ' **array_small** : `~numpy.ndarray`', '', ' The extracted array.', '', ' **new_position** : tuple', '', ' If ``return_position`` is true, this tuple will contain the', ' coordinates of the input ``position`` in the coordinate system', ' of ``array_small``. Note that for partially overlapping arrays,', ' ``new_position`` might actually be outside of the', ' ``array_small``; ``array_small[new_position]`` might give wrong', ' results if any element in ``new_position`` is negative.', '', '.. rubric:: Examples', '', '', 'We consider a large array with the shape 11x10, from which we extract', 'a small array of shape 3x5:', '', '>>> import numpy as np', '>>> from astropy.nddata.utils import extract_array', '>>> large_array = np.arange(110).reshape((11, 10))', '>>> extract_array(large_array, (3, 5), (7, 7))', 'array([[65, 66, 67, 68, 69],', ' [75, 76, 77, 78, 79],', ' [85, 86, 87, 88, 89]])']:48: WARNING: py:obj reference target not found: True ["extract_array(array_large, shape, position, mode='partial', fill_value=nan, return_position=False)", ':module: astropy.nddata.utils', '', '', '', 'Extract a smaller array of the given shape and position from a', 'larger array.', '', '', ':Parameters:', '', ' **array_large** : `~numpy.ndarray`', '', ' The array from which to extract the small array.', '', ' **shape** : tuple or int', '', ' The shape of the extracted array (for 1D arrays, this can be an', ' `int`). See the ``mode`` keyword for additional details.', '', ' **position** : tuple of numbers or number', '', " The position of the small array's center with respect to the", ' large array. The pixel coordinates should be in the same order', ' as the array shape. Integer positions are at the pixel centers', ' (for 1D arrays, this can be a number).', '', " **mode** : {'partial', 'trim', 'strict'}, optional", '', ' The mode used for extracting the small array. For the', " ``'partial'`` and ``'trim'`` modes, a partial overlap of the", ' small array and the large array is sufficient. For the', " ``'strict'`` mode, the small array has to be fully contained", ' within the large array, otherwise an', ' `~astropy.nddata.utils.PartialOverlapError` is raised. In all', ' modes, non-overlapping arrays will raise a', " `~astropy.nddata.utils.NoOverlapError`. In ``'partial'`` mode,", ' positions in the small array that do not overlap with the large', " array will be filled with ``fill_value``. In ``'trim'`` mode", ' only the overlapping elements are returned, thus the resulting', ' small array may be smaller than the requested ``shape``.', '', ' **fill_value** : number, optional', '', " If ``mode='partial'``, the value to fill pixels in the extracted", ' small array that do not overlap with the input ``array_large``.', ' ``fill_value`` must have the same ``dtype`` as the', ' ``array_large`` array.', '', ' **return_position** : boolean, optional', '', ' If `True`, return the coordinates of ``position`` in the', ' coordinate system of the returned array.', '', ':Returns:', '', ' **array_small** : `~numpy.ndarray`', '', ' The extracted array.', '', ' **new_position** : tuple', '', ' If ``return_position`` is true, this tuple will contain the', ' coordinates of the input ``position`` in the coordinate system', ' of ``array_small``. Note that for partially overlapping arrays,', ' ``new_position`` might actually be outside of the', ' ``array_small``; ``array_small[new_position]`` might give wrong', ' results if any element in ``new_position`` is negative.', '', '.. rubric:: Examples', '', '', 'We consider a large array with the shape 11x10, from which we extract', 'a small array of shape 3x5:', '', '>>> import numpy as np', '>>> from astropy.nddata.utils import extract_array', '>>> large_array = np.arange(110).reshape((11, 10))', '>>> extract_array(large_array, (3, 5), (7, 7))', 'array([[65, 66, 67, 68, 69],', ' [75, 76, 77, 78, 79],', ' [85, 86, 87, 88, 89]])']:53: WARNING: py:obj reference target not found: numpy.ndarray ["overlap_slices(large_array_shape, small_array_shape, position, mode='partial')", ':module: astropy.nddata.utils', '', '', '', 'Get slices for the overlapping part of a small and a large array.', '', 'Given a certain position of the center of the small array, with', 'respect to the large array, tuples of slices are returned which can be', 'used to extract, add or subtract the small array at the given', 'position. This function takes care of the correct behavior at the', 'boundaries, where the small array is cut of appropriately.', 'Integer positions are at the pixel centers.', '', ':Parameters:', '', ' **large_array_shape** : tuple or int', '', ' The shape of the large array (for 1D arrays, this can be an', ' `int`).', '', ' **small_array_shape** : tuple or int', '', ' The shape of the small array (for 1D arrays, this can be an', ' `int`). See the ``mode`` keyword for additional details.', '', ' **position** : tuple of numbers or number', '', " The position of the small array's center with respect to the", ' large array. The pixel coordinates should be in the same order', ' as the array shape. Integer positions are at the pixel centers.', ' For any axis where ``small_array_shape`` is even, the position', ' is rounded up, e.g. extracting two elements with a center of', ' ``1`` will define the extracted region as ``[0, 1]``.', '', " **mode** : {'partial', 'trim', 'strict'}, optional", '', " In ``'partial'`` mode, a partial overlap of the small and the", " large array is sufficient. The ``'trim'`` mode is similar to", " the ``'partial'`` mode, but ``slices_small`` will be adjusted to", " return only the overlapping elements. In the ``'strict'`` mode,", ' the small array has to be fully contained in the large array,', ' otherwise an `~astropy.nddata.utils.PartialOverlapError` is', ' raised. In all modes, non-overlapping arrays will raise a', ' `~astropy.nddata.utils.NoOverlapError`.', '', ':Returns:', '', ' **slices_large** : tuple of slices', '', ' A tuple of slice objects for each axis of the large array, such', ' that ``large_array[slices_large]`` extracts the region of the', ' large array that overlaps with the small array.', '', ' **slices_small** : slice', '', ' A tuple of slice objects for each axis of the small array, such', ' that ``small_array[slices_small]`` extracts the region that is', ' inside the large array.']:16: WARNING: py:obj reference target not found: int ["overlap_slices(large_array_shape, small_array_shape, position, mode='partial')", ':module: astropy.nddata.utils', '', '', '', 'Get slices for the overlapping part of a small and a large array.', '', 'Given a certain position of the center of the small array, with', 'respect to the large array, tuples of slices are returned which can be', 'used to extract, add or subtract the small array at the given', 'position. This function takes care of the correct behavior at the', 'boundaries, where the small array is cut of appropriately.', 'Integer positions are at the pixel centers.', '', ':Parameters:', '', ' **large_array_shape** : tuple or int', '', ' The shape of the large array (for 1D arrays, this can be an', ' `int`).', '', ' **small_array_shape** : tuple or int', '', ' The shape of the small array (for 1D arrays, this can be an', ' `int`). See the ``mode`` keyword for additional details.', '', ' **position** : tuple of numbers or number', '', " The position of the small array's center with respect to the", ' large array. The pixel coordinates should be in the same order', ' as the array shape. Integer positions are at the pixel centers.', ' For any axis where ``small_array_shape`` is even, the position', ' is rounded up, e.g. extracting two elements with a center of', ' ``1`` will define the extracted region as ``[0, 1]``.', '', " **mode** : {'partial', 'trim', 'strict'}, optional", '', " In ``'partial'`` mode, a partial overlap of the small and the", " large array is sufficient. The ``'trim'`` mode is similar to", " the ``'partial'`` mode, but ``slices_small`` will be adjusted to", " return only the overlapping elements. In the ``'strict'`` mode,", ' the small array has to be fully contained in the large array,', ' otherwise an `~astropy.nddata.utils.PartialOverlapError` is', ' raised. In all modes, non-overlapping arrays will raise a', ' `~astropy.nddata.utils.NoOverlapError`.', '', ':Returns:', '', ' **slices_large** : tuple of slices', '', ' A tuple of slice objects for each axis of the large array, such', ' that ``large_array[slices_large]`` extracts the region of the', ' large array that overlaps with the small array.', '', ' **slices_small** : slice', '', ' A tuple of slice objects for each axis of the small array, such', ' that ``small_array[slices_small]`` extracts the region that is', ' inside the large array.']:21: WARNING: py:obj reference target not found: int /<>/docs/api/astropy.nddata.utils.subpixel_indices.rst:18: WARNING: py:obj reference target not found: numpy.ndarray ['subpixel_indices(position, subsampling)', ':module: astropy.nddata.utils', '', '', '', 'Convert decimal points to indices, given a subsampling factor.', '', 'This discards the integer part of the position and uses only the decimal', 'place, and converts this to a subpixel position depending on the', 'subsampling specified. The center of a pixel corresponds to an integer', 'position.', '', ':Parameters:', '', ' **position** : `~numpy.ndarray` or array-like', '', ' Positions in pixels.', '', ' **subsampling** : int', '', ' Subsampling factor per pixel.', '', ':Returns:', '', ' **indices** : `~numpy.ndarray`', '', ' The integer subpixel indices corresponding to the input positions.', '', '.. rubric:: Examples', '', '', 'If no subsampling is used, then the subpixel indices returned are always 0:', '', '>>> from astropy.nddata.utils import subpixel_indices', '>>> subpixel_indices([1.2, 3.4, 5.6],1)', 'array([ 0., 0., 0.])', '', 'If instead we use a subsampling of 2, we see that for the two first values', '(1.1 and 3.4) the subpixel position is 1, while for 5.6 it is 0. This is', 'because the values of 1, 3, and 6 lie in the center of pixels, and 1.1 and', '3.4 lie in the left part of the pixels and 5.6 lies in the right part.', '', '>>> subpixel_indices([1.2, 3.4, 5.5],2)', 'array([ 1., 1., 0.])']:22: WARNING: py:obj reference target not found: numpy.ndarray samp/references.txt:4: WARNING: py:class reference target not found: object /<>/docs/api/astropy.samp.SAMPClient.rst:37: WARNING: py:obj reference target not found: False /<>/docs/api/astropy.samp.SAMPClient.rst:10: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.samp.SAMPClient.rst:4: WARNING: py:obj reference target not found: True samp/references.txt:4: WARNING: py:class reference target not found: object samp/references.txt:4: WARNING: py:class reference target not found: object /<>/docs/api/astropy.samp.SAMPHubServer.rst:8: WARNING: py:func reference target not found: uuid.uuid1 ["SAMPHubServer(secret=None, addr=None, port=0, lockfile=None, timeout=0, client_timeout=0, mode='single', label='', web_profile=True, web_profile_dialog=None, web_port=21012, pool_size=20)", ':module: astropy.samp', '', 'Bases: :class:`object`', '', '', '', 'SAMP Hub Server.', '', '', ':Parameters:', '', ' **secret** : str, optional', '', ' The secret code to use for the SAMP lockfile. If none is is specified,', ' the :func:`uuid.uuid1` function is used to generate one.', ' ', '', ' **addr** : str, optional', '', ' Listening address (or IP). This defaults to 127.0.0.1 if the internet', ' is not reachable, otherwise it defaults to the host name.', ' ', '', ' **port** : int, optional', '', ' Listening XML-RPC server socket port. If left set to 0 (the default),', ' the operating system will select a free port.', ' ', '', ' **lockfile** : str, optional', '', ' Custom lockfile name.', ' ', '', ' **timeout** : int, optional', '', ' Hub inactivity timeout. If ``timeout > 0`` then the Hub automatically', ' stops after an inactivity period longer than ``timeout`` seconds. By', ' default ``timeout`` is set to 0 (Hub never expires).', ' ', '', ' **client_timeout** : int, optional', '', ' Client inactivity timeout. If ``client_timeout > 0`` then the Hub', ' automatically unregisters the clients which result inactive for a', ' period longer than ``client_timeout`` seconds. By default', ' ``client_timeout`` is set to 0 (clients never expire).', ' ', '', ' **mode** : str, optional', '', " Defines the Hub running mode. If ``mode`` is ``'single'`` then the Hub", ' runs using the standard ``.samp`` lock-file, having a single instance', " for user desktop session. Otherwise, if ``mode`` is ``'multiple'``,", ' then the Hub runs using a non-standard lock-file, placed in', ' ``.samp-1`` directory, of the form ``samp-hub-``, where', ' ```` is a unique UUID assigned to the hub.', ' ', '', ' **label** : str, optional', '', ' A string used to label the Hub with a human readable name. This string', ' is written in the lock-file assigned to the ``hub.label`` token.', ' ', '', ' **web_profile** : bool, optional', '', ' Enables or disables the Web Profile support.', ' ', '', ' **web_profile_dialog** : class, optional', '', ' Allows a class instance to be specified using ``web_profile_dialog``', ' to replace the terminal-based message with e.g. a GUI pop-up. Two', ' `queue.Queue` instances will be added to the instance as attributes', ' ``queue_request`` and ``queue_result``. When a request is received via', ' the ``queue_request`` queue, the pop-up should be displayed, and a', ' value of `True` or `False` should be added to ``queue_result``', ' depending on whether the user accepted or refused the connection.', ' ', '', ' **web_port** : int, optional', '', ' The port to use for web SAMP. This should not be changed except for', ' testing purposes, since web SAMP should always use port 21012.', ' ', '', ' **pool_size** : int, optional', '', ' The number of socket connections opened to communicate with the', ' clients.', '', '.. rubric:: Attributes Summary', '', '.. autosummary::', '', ' ~SAMPHubServer.id', ' ~SAMPHubServer.is_running', ' ~SAMPHubServer.params', '', '.. rubric:: Methods Summary', '', '.. autosummary::', '', ' ~SAMPHubServer.get_mtype_subtypes', ' ~SAMPHubServer.start', ' ~SAMPHubServer.stop', '', '.. rubric:: Attributes Documentation', '', '.. autoattribute:: id', '.. autoattribute:: is_running', '.. autoattribute:: params', '', '.. rubric:: Methods Documentation', '', '.. automethod:: get_mtype_subtypes', '.. automethod:: start', '.. automethod:: stop']:61: WARNING: py:obj reference target not found: queue.Queue ["SAMPHubServer(secret=None, addr=None, port=0, lockfile=None, timeout=0, client_timeout=0, mode='single', label='', web_profile=True, web_profile_dialog=None, web_port=21012, pool_size=20)", ':module: astropy.samp', '', 'Bases: :class:`object`', '', '', '', 'SAMP Hub Server.', '', '', ':Parameters:', '', ' **secret** : str, optional', '', ' The secret code to use for the SAMP lockfile. If none is is specified,', ' the :func:`uuid.uuid1` function is used to generate one.', ' ', '', ' **addr** : str, optional', '', ' Listening address (or IP). This defaults to 127.0.0.1 if the internet', ' is not reachable, otherwise it defaults to the host name.', ' ', '', ' **port** : int, optional', '', ' Listening XML-RPC server socket port. If left set to 0 (the default),', ' the operating system will select a free port.', ' ', '', ' **lockfile** : str, optional', '', ' Custom lockfile name.', ' ', '', ' **timeout** : int, optional', '', ' Hub inactivity timeout. If ``timeout > 0`` then the Hub automatically', ' stops after an inactivity period longer than ``timeout`` seconds. By', ' default ``timeout`` is set to 0 (Hub never expires).', ' ', '', ' **client_timeout** : int, optional', '', ' Client inactivity timeout. If ``client_timeout > 0`` then the Hub', ' automatically unregisters the clients which result inactive for a', ' period longer than ``client_timeout`` seconds. By default', ' ``client_timeout`` is set to 0 (clients never expire).', ' ', '', ' **mode** : str, optional', '', " Defines the Hub running mode. If ``mode`` is ``'single'`` then the Hub", ' runs using the standard ``.samp`` lock-file, having a single instance', " for user desktop session. Otherwise, if ``mode`` is ``'multiple'``,", ' then the Hub runs using a non-standard lock-file, placed in', ' ``.samp-1`` directory, of the form ``samp-hub-``, where', ' ```` is a unique UUID assigned to the hub.', ' ', '', ' **label** : str, optional', '', ' A string used to label the Hub with a human readable name. This string', ' is written in the lock-file assigned to the ``hub.label`` token.', ' ', '', ' **web_profile** : bool, optional', '', ' Enables or disables the Web Profile support.', ' ', '', ' **web_profile_dialog** : class, optional', '', ' Allows a class instance to be specified using ``web_profile_dialog``', ' to replace the terminal-based message with e.g. a GUI pop-up. Two', ' `queue.Queue` instances will be added to the instance as attributes', ' ``queue_request`` and ``queue_result``. When a request is received via', ' the ``queue_request`` queue, the pop-up should be displayed, and a', ' value of `True` or `False` should be added to ``queue_result``', ' depending on whether the user accepted or refused the connection.', ' ', '', ' **web_port** : int, optional', '', ' The port to use for web SAMP. This should not be changed except for', ' testing purposes, since web SAMP should always use port 21012.', ' ', '', ' **pool_size** : int, optional', '', ' The number of socket connections opened to communicate with the', ' clients.', '', '.. rubric:: Attributes Summary', '', '.. autosummary::', '', ' ~SAMPHubServer.id', ' ~SAMPHubServer.is_running', ' ~SAMPHubServer.params', '', '.. rubric:: Methods Summary', '', '.. autosummary::', '', ' ~SAMPHubServer.get_mtype_subtypes', ' ~SAMPHubServer.start', ' ~SAMPHubServer.stop', '', '.. rubric:: Attributes Documentation', '', '.. autoattribute:: id', '.. autoattribute:: is_running', '.. autoattribute:: params', '', '.. rubric:: Methods Documentation', '', '.. automethod:: get_mtype_subtypes', '.. automethod:: start', '.. automethod:: stop']:61: WARNING: py:obj reference target not found: True ["SAMPHubServer(secret=None, addr=None, port=0, lockfile=None, timeout=0, client_timeout=0, mode='single', label='', web_profile=True, web_profile_dialog=None, web_port=21012, pool_size=20)", ':module: astropy.samp', '', 'Bases: :class:`object`', '', '', '', 'SAMP Hub Server.', '', '', ':Parameters:', '', ' **secret** : str, optional', '', ' The secret code to use for the SAMP lockfile. If none is is specified,', ' the :func:`uuid.uuid1` function is used to generate one.', ' ', '', ' **addr** : str, optional', '', ' Listening address (or IP). This defaults to 127.0.0.1 if the internet', ' is not reachable, otherwise it defaults to the host name.', ' ', '', ' **port** : int, optional', '', ' Listening XML-RPC server socket port. If left set to 0 (the default),', ' the operating system will select a free port.', ' ', '', ' **lockfile** : str, optional', '', ' Custom lockfile name.', ' ', '', ' **timeout** : int, optional', '', ' Hub inactivity timeout. If ``timeout > 0`` then the Hub automatically', ' stops after an inactivity period longer than ``timeout`` seconds. By', ' default ``timeout`` is set to 0 (Hub never expires).', ' ', '', ' **client_timeout** : int, optional', '', ' Client inactivity timeout. If ``client_timeout > 0`` then the Hub', ' automatically unregisters the clients which result inactive for a', ' period longer than ``client_timeout`` seconds. By default', ' ``client_timeout`` is set to 0 (clients never expire).', ' ', '', ' **mode** : str, optional', '', " Defines the Hub running mode. If ``mode`` is ``'single'`` then the Hub", ' runs using the standard ``.samp`` lock-file, having a single instance', " for user desktop session. Otherwise, if ``mode`` is ``'multiple'``,", ' then the Hub runs using a non-standard lock-file, placed in', ' ``.samp-1`` directory, of the form ``samp-hub-``, where', ' ```` is a unique UUID assigned to the hub.', ' ', '', ' **label** : str, optional', '', ' A string used to label the Hub with a human readable name. This string', ' is written in the lock-file assigned to the ``hub.label`` token.', ' ', '', ' **web_profile** : bool, optional', '', ' Enables or disables the Web Profile support.', ' ', '', ' **web_profile_dialog** : class, optional', '', ' Allows a class instance to be specified using ``web_profile_dialog``', ' to replace the terminal-based message with e.g. a GUI pop-up. Two', ' `queue.Queue` instances will be added to the instance as attributes', ' ``queue_request`` and ``queue_result``. When a request is received via', ' the ``queue_request`` queue, the pop-up should be displayed, and a', ' value of `True` or `False` should be added to ``queue_result``', ' depending on whether the user accepted or refused the connection.', ' ', '', ' **web_port** : int, optional', '', ' The port to use for web SAMP. This should not be changed except for', ' testing purposes, since web SAMP should always use port 21012.', ' ', '', ' **pool_size** : int, optional', '', ' The number of socket connections opened to communicate with the', ' clients.', '', '.. rubric:: Attributes Summary', '', '.. autosummary::', '', ' ~SAMPHubServer.id', ' ~SAMPHubServer.is_running', ' ~SAMPHubServer.params', '', '.. rubric:: Methods Summary', '', '.. autosummary::', '', ' ~SAMPHubServer.get_mtype_subtypes', ' ~SAMPHubServer.start', ' ~SAMPHubServer.stop', '', '.. rubric:: Attributes Documentation', '', '.. autoattribute:: id', '.. autoattribute:: is_running', '.. autoattribute:: params', '', '.. rubric:: Methods Documentation', '', '.. automethod:: get_mtype_subtypes', '.. automethod:: start', '.. automethod:: stop']:61: WARNING: py:obj reference target not found: False /<>/docs/api/astropy.samp.SAMPHubServer.rst:10: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.samp.SAMPHubServer.rst:10: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.samp.SAMPHubServer.rst:10: WARNING: py:obj reference target not found: False /<>/docs/api/astropy.samp.SAMPHubServer.rst:10: WARNING: py:obj reference target not found: False samp/references.txt:4: WARNING: py:class reference target not found: object /<>/docs/api/astropy.samp.SAMPIntegratedClient.rst:36: WARNING: py:obj reference target not found: False /<>/docs/api/astropy.samp.SAMPIntegratedClient.rst:10: WARNING: py:obj reference target not found: None samp/references.txt:4: WARNING: py:class reference target not found: object samp/references.txt:4: WARNING: py:class reference target not found: object /<>/docs/api/astropy.stats.FitnessFunc.rst:7: WARNING: py:class reference target not found: object /<>/docs/api/astropy.stats.LombScargle.rst:7: WARNING: py:class reference target not found: object /<>/docs/api/astropy.stats.RipleysKEstimator.rst:7: WARNING: py:class reference target not found: object /<>/docs/api/astropy.stats.SigmaClip.rst:7: WARNING: py:class reference target not found: object ['SigmaClip(sigma=3.0, sigma_lower=None, sigma_upper=None, iters=5, cenfunc=, stdfunc=)', ':module: astropy.stats', '', 'Bases: :class:`object`', '', '', '', 'Class to perform sigma clipping.', '', 'The data will be iterated over, each time rejecting points that are', 'discrepant by more than a specified number of standard deviations', 'from a center value. If the data contains invalid values (NaNs or', 'infs), they are automatically masked before performing the sigma', 'clipping.', '', 'For a functional interface to sigma clipping, see', ':func:`sigma_clip`.', '', '.. note::', ' `scipy.stats.sigmaclip', ' `_', ' provides a subset of the functionality in this class.', '', ':Parameters:', '', ' **sigma** : float, optional', '', ' The number of standard deviations to use for both the lower and', ' upper clipping limit. These limits are overridden by', ' ``sigma_lower`` and ``sigma_upper``, if input. Defaults to 3.', '', ' **sigma_lower** : float or `None`, optional', '', ' The number of standard deviations to use as the lower bound for', ' the clipping limit. If `None` then the value of ``sigma`` is', ' used. Defaults to `None`.', '', ' **sigma_upper** : float or `None`, optional', '', ' The number of standard deviations to use as the upper bound for', ' the clipping limit. If `None` then the value of ``sigma`` is', ' used. Defaults to `None`.', '', ' **iters** : int or `None`, optional', '', ' The number of iterations to perform sigma clipping, or `None` to', ' clip until convergence is achieved (i.e., continue until the', ' last iteration clips nothing). Defaults to 5.', '', ' **cenfunc** : callable, optional', '', ' The function used to compute the center for the clipping. Must', ' be a callable that takes in a masked array and outputs the', ' central value. Defaults to the median (`numpy.ma.median`).', '', ' **stdfunc** : callable, optional', '', ' The function used to compute the standard deviation about the', ' center. Must be a callable that takes in a masked array and', ' outputs a width estimator. Masked (rejected) pixels are those', ' where::', ' ', ' deviation < (-sigma_lower * stdfunc(deviation))', ' deviation > (sigma_upper * stdfunc(deviation))', ' ', ' where::', ' ', ' deviation = data - cenfunc(data [,axis=int])', ' ', ' Defaults to the standard deviation (`numpy.std`).', '', '.. seealso::', '', ' ', ' :obj:`sigma_clip`', ' ', '.. rubric:: Examples', '', '', 'This example generates random variates from a Gaussian distribution', 'and returns a masked array in which all points that are more than 2', 'sample standard deviations from the median are masked::', '', ' >>> from astropy.stats import SigmaClip', ' >>> from numpy.random import randn', ' >>> randvar = randn(10000)', ' >>> sigclip = SigmaClip(sigma=2, iters=5)', ' >>> filtered_data = sigclip(randvar)', '', 'This example sigma clips on a similar distribution, but uses 3 sigma', 'relative to the sample *mean*, clips until convergence, and does not', 'copy the data::', '', ' >>> from astropy.stats import SigmaClip', ' >>> from numpy.random import randn', ' >>> from numpy import mean', ' >>> randvar = randn(10000)', ' >>> sigclip = SigmaClip(sigma=3, iters=None, cenfunc=mean)', ' >>> filtered_data = sigclip(randvar, copy=False)', '', 'This example sigma clips along one axis on a similar distribution', '(with bad points inserted)::', '', ' >>> from astropy.stats import SigmaClip', ' >>> from numpy.random import normal', ' >>> from numpy import arange, diag, ones', ' >>> data = arange(5) + normal(0., 0.05, (5, 5)) + diag(ones(5))', ' >>> sigclip = SigmaClip(sigma=2.3)', ' >>> filtered_data = sigclip(data, axis=0)', '', 'Note that along the other axis, no points would be masked, as the', 'variance is higher.', '', '.. rubric:: Methods Summary', '', '.. autosummary::', '', ' ~SigmaClip.__call__', '', '.. rubric:: Methods Documentation', '', '.. automethod:: __call__']:29: WARNING: py:obj reference target not found: None ['SigmaClip(sigma=3.0, sigma_lower=None, sigma_upper=None, iters=5, cenfunc=, stdfunc=)', ':module: astropy.stats', '', 'Bases: :class:`object`', '', '', '', 'Class to perform sigma clipping.', '', 'The data will be iterated over, each time rejecting points that are', 'discrepant by more than a specified number of standard deviations', 'from a center value. If the data contains invalid values (NaNs or', 'infs), they are automatically masked before performing the sigma', 'clipping.', '', 'For a functional interface to sigma clipping, see', ':func:`sigma_clip`.', '', '.. note::', ' `scipy.stats.sigmaclip', ' `_', ' provides a subset of the functionality in this class.', '', ':Parameters:', '', ' **sigma** : float, optional', '', ' The number of standard deviations to use for both the lower and', ' upper clipping limit. These limits are overridden by', ' ``sigma_lower`` and ``sigma_upper``, if input. Defaults to 3.', '', ' **sigma_lower** : float or `None`, optional', '', ' The number of standard deviations to use as the lower bound for', ' the clipping limit. If `None` then the value of ``sigma`` is', ' used. Defaults to `None`.', '', ' **sigma_upper** : float or `None`, optional', '', ' The number of standard deviations to use as the upper bound for', ' the clipping limit. If `None` then the value of ``sigma`` is', ' used. Defaults to `None`.', '', ' **iters** : int or `None`, optional', '', ' The number of iterations to perform sigma clipping, or `None` to', ' clip until convergence is achieved (i.e., continue until the', ' last iteration clips nothing). Defaults to 5.', '', ' **cenfunc** : callable, optional', '', ' The function used to compute the center for the clipping. Must', ' be a callable that takes in a masked array and outputs the', ' central value. Defaults to the median (`numpy.ma.median`).', '', ' **stdfunc** : callable, optional', '', ' The function used to compute the standard deviation about the', ' center. Must be a callable that takes in a masked array and', ' outputs a width estimator. Masked (rejected) pixels are those', ' where::', ' ', ' deviation < (-sigma_lower * stdfunc(deviation))', ' deviation > (sigma_upper * stdfunc(deviation))', ' ', ' where::', ' ', ' deviation = data - cenfunc(data [,axis=int])', ' ', ' Defaults to the standard deviation (`numpy.std`).', '', '.. seealso::', '', ' ', ' :obj:`sigma_clip`', ' ', '.. rubric:: Examples', '', '', 'This example generates random variates from a Gaussian distribution', 'and returns a masked array in which all points that are more than 2', 'sample standard deviations from the median are masked::', '', ' >>> from astropy.stats import SigmaClip', ' >>> from numpy.random import randn', ' >>> randvar = randn(10000)', ' >>> sigclip = SigmaClip(sigma=2, iters=5)', ' >>> filtered_data = sigclip(randvar)', '', 'This example sigma clips on a similar distribution, but uses 3 sigma', 'relative to the sample *mean*, clips until convergence, and does not', 'copy the data::', '', ' >>> from astropy.stats import SigmaClip', ' >>> from numpy.random import randn', ' >>> from numpy import mean', ' >>> randvar = randn(10000)', ' >>> sigclip = SigmaClip(sigma=3, iters=None, cenfunc=mean)', ' >>> filtered_data = sigclip(randvar, copy=False)', '', 'This example sigma clips along one axis on a similar distribution', '(with bad points inserted)::', '', ' >>> from astropy.stats import SigmaClip', ' >>> from numpy.random import normal', ' >>> from numpy import arange, diag, ones', ' >>> data = arange(5) + normal(0., 0.05, (5, 5)) + diag(ones(5))', ' >>> sigclip = SigmaClip(sigma=2.3)', ' >>> filtered_data = sigclip(data, axis=0)', '', 'Note that along the other axis, no points would be masked, as the', 'variance is higher.', '', '.. rubric:: Methods Summary', '', '.. autosummary::', '', ' ~SigmaClip.__call__', '', '.. rubric:: Methods Documentation', '', '.. automethod:: __call__']:31: WARNING: py:obj reference target not found: None ['SigmaClip(sigma=3.0, sigma_lower=None, sigma_upper=None, iters=5, cenfunc=, stdfunc=)', ':module: astropy.stats', '', 'Bases: :class:`object`', '', '', '', 'Class to perform sigma clipping.', '', 'The data will be iterated over, each time rejecting points that are', 'discrepant by more than a specified number of standard deviations', 'from a center value. If the data contains invalid values (NaNs or', 'infs), they are automatically masked before performing the sigma', 'clipping.', '', 'For a functional interface to sigma clipping, see', ':func:`sigma_clip`.', '', '.. note::', ' `scipy.stats.sigmaclip', ' `_', ' provides a subset of the functionality in this class.', '', ':Parameters:', '', ' **sigma** : float, optional', '', ' The number of standard deviations to use for both the lower and', ' upper clipping limit. These limits are overridden by', ' ``sigma_lower`` and ``sigma_upper``, if input. Defaults to 3.', '', ' **sigma_lower** : float or `None`, optional', '', ' The number of standard deviations to use as the lower bound for', ' the clipping limit. If `None` then the value of ``sigma`` is', ' used. Defaults to `None`.', '', ' **sigma_upper** : float or `None`, optional', '', ' The number of standard deviations to use as the upper bound for', ' the clipping limit. If `None` then the value of ``sigma`` is', ' used. Defaults to `None`.', '', ' **iters** : int or `None`, optional', '', ' The number of iterations to perform sigma clipping, or `None` to', ' clip until convergence is achieved (i.e., continue until the', ' last iteration clips nothing). Defaults to 5.', '', ' **cenfunc** : callable, optional', '', ' The function used to compute the center for the clipping. Must', ' be a callable that takes in a masked array and outputs the', ' central value. Defaults to the median (`numpy.ma.median`).', '', ' **stdfunc** : callable, optional', '', ' The function used to compute the standard deviation about the', ' center. Must be a callable that takes in a masked array and', ' outputs a width estimator. Masked (rejected) pixels are those', ' where::', ' ', ' deviation < (-sigma_lower * stdfunc(deviation))', ' deviation > (sigma_upper * stdfunc(deviation))', ' ', ' where::', ' ', ' deviation = data - cenfunc(data [,axis=int])', ' ', ' Defaults to the standard deviation (`numpy.std`).', '', '.. seealso::', '', ' ', ' :obj:`sigma_clip`', ' ', '.. rubric:: Examples', '', '', 'This example generates random variates from a Gaussian distribution', 'and returns a masked array in which all points that are more than 2', 'sample standard deviations from the median are masked::', '', ' >>> from astropy.stats import SigmaClip', ' >>> from numpy.random import randn', ' >>> randvar = randn(10000)', ' >>> sigclip = SigmaClip(sigma=2, iters=5)', ' >>> filtered_data = sigclip(randvar)', '', 'This example sigma clips on a similar distribution, but uses 3 sigma', 'relative to the sample *mean*, clips until convergence, and does not', 'copy the data::', '', ' >>> from astropy.stats import SigmaClip', ' >>> from numpy.random import randn', ' >>> from numpy import mean', ' >>> randvar = randn(10000)', ' >>> sigclip = SigmaClip(sigma=3, iters=None, cenfunc=mean)', ' >>> filtered_data = sigclip(randvar, copy=False)', '', 'This example sigma clips along one axis on a similar distribution', '(with bad points inserted)::', '', ' >>> from astropy.stats import SigmaClip', ' >>> from numpy.random import normal', ' >>> from numpy import arange, diag, ones', ' >>> data = arange(5) + normal(0., 0.05, (5, 5)) + diag(ones(5))', ' >>> sigclip = SigmaClip(sigma=2.3)', ' >>> filtered_data = sigclip(data, axis=0)', '', 'Note that along the other axis, no points would be masked, as the', 'variance is higher.', '', '.. rubric:: Methods Summary', '', '.. autosummary::', '', ' ~SigmaClip.__call__', '', '.. rubric:: Methods Documentation', '', '.. automethod:: __call__']:31: WARNING: py:obj reference target not found: None ['SigmaClip(sigma=3.0, sigma_lower=None, sigma_upper=None, iters=5, cenfunc=, stdfunc=)', ':module: astropy.stats', '', 'Bases: :class:`object`', '', '', '', 'Class to perform sigma clipping.', '', 'The data will be iterated over, each time rejecting points that are', 'discrepant by more than a specified number of standard deviations', 'from a center value. If the data contains invalid values (NaNs or', 'infs), they are automatically masked before performing the sigma', 'clipping.', '', 'For a functional interface to sigma clipping, see', ':func:`sigma_clip`.', '', '.. note::', ' `scipy.stats.sigmaclip', ' `_', ' provides a subset of the functionality in this class.', '', ':Parameters:', '', ' **sigma** : float, optional', '', ' The number of standard deviations to use for both the lower and', ' upper clipping limit. These limits are overridden by', ' ``sigma_lower`` and ``sigma_upper``, if input. Defaults to 3.', '', ' **sigma_lower** : float or `None`, optional', '', ' The number of standard deviations to use as the lower bound for', ' the clipping limit. If `None` then the value of ``sigma`` is', ' used. Defaults to `None`.', '', ' **sigma_upper** : float or `None`, optional', '', ' The number of standard deviations to use as the upper bound for', ' the clipping limit. If `None` then the value of ``sigma`` is', ' used. Defaults to `None`.', '', ' **iters** : int or `None`, optional', '', ' The number of iterations to perform sigma clipping, or `None` to', ' clip until convergence is achieved (i.e., continue until the', ' last iteration clips nothing). Defaults to 5.', '', ' **cenfunc** : callable, optional', '', ' The function used to compute the center for the clipping. Must', ' be a callable that takes in a masked array and outputs the', ' central value. Defaults to the median (`numpy.ma.median`).', '', ' **stdfunc** : callable, optional', '', ' The function used to compute the standard deviation about the', ' center. Must be a callable that takes in a masked array and', ' outputs a width estimator. Masked (rejected) pixels are those', ' where::', ' ', ' deviation < (-sigma_lower * stdfunc(deviation))', ' deviation > (sigma_upper * stdfunc(deviation))', ' ', ' where::', ' ', ' deviation = data - cenfunc(data [,axis=int])', ' ', ' Defaults to the standard deviation (`numpy.std`).', '', '.. seealso::', '', ' ', ' :obj:`sigma_clip`', ' ', '.. rubric:: Examples', '', '', 'This example generates random variates from a Gaussian distribution', 'and returns a masked array in which all points that are more than 2', 'sample standard deviations from the median are masked::', '', ' >>> from astropy.stats import SigmaClip', ' >>> from numpy.random import randn', ' >>> randvar = randn(10000)', ' >>> sigclip = SigmaClip(sigma=2, iters=5)', ' >>> filtered_data = sigclip(randvar)', '', 'This example sigma clips on a similar distribution, but uses 3 sigma', 'relative to the sample *mean*, clips until convergence, and does not', 'copy the data::', '', ' >>> from astropy.stats import SigmaClip', ' >>> from numpy.random import randn', ' >>> from numpy import mean', ' >>> randvar = randn(10000)', ' >>> sigclip = SigmaClip(sigma=3, iters=None, cenfunc=mean)', ' >>> filtered_data = sigclip(randvar, copy=False)', '', 'This example sigma clips along one axis on a similar distribution', '(with bad points inserted)::', '', ' >>> from astropy.stats import SigmaClip', ' >>> from numpy.random import normal', ' >>> from numpy import arange, diag, ones', ' >>> data = arange(5) + normal(0., 0.05, (5, 5)) + diag(ones(5))', ' >>> sigclip = SigmaClip(sigma=2.3)', ' >>> filtered_data = sigclip(data, axis=0)', '', 'Note that along the other axis, no points would be masked, as the', 'variance is higher.', '', '.. rubric:: Methods Summary', '', '.. autosummary::', '', ' ~SigmaClip.__call__', '', '.. rubric:: Methods Documentation', '', '.. automethod:: __call__']:35: WARNING: py:obj reference target not found: None ['SigmaClip(sigma=3.0, sigma_lower=None, sigma_upper=None, iters=5, cenfunc=, stdfunc=)', ':module: astropy.stats', '', 'Bases: :class:`object`', '', '', '', 'Class to perform sigma clipping.', '', 'The data will be iterated over, each time rejecting points that are', 'discrepant by more than a specified number of standard deviations', 'from a center value. If the data contains invalid values (NaNs or', 'infs), they are automatically masked before performing the sigma', 'clipping.', '', 'For a functional interface to sigma clipping, see', ':func:`sigma_clip`.', '', '.. note::', ' `scipy.stats.sigmaclip', ' `_', ' provides a subset of the functionality in this class.', '', ':Parameters:', '', ' **sigma** : float, optional', '', ' The number of standard deviations to use for both the lower and', ' upper clipping limit. These limits are overridden by', ' ``sigma_lower`` and ``sigma_upper``, if input. Defaults to 3.', '', ' **sigma_lower** : float or `None`, optional', '', ' The number of standard deviations to use as the lower bound for', ' the clipping limit. If `None` then the value of ``sigma`` is', ' used. Defaults to `None`.', '', ' **sigma_upper** : float or `None`, optional', '', ' The number of standard deviations to use as the upper bound for', ' the clipping limit. If `None` then the value of ``sigma`` is', ' used. Defaults to `None`.', '', ' **iters** : int or `None`, optional', '', ' The number of iterations to perform sigma clipping, or `None` to', ' clip until convergence is achieved (i.e., continue until the', ' last iteration clips nothing). Defaults to 5.', '', ' **cenfunc** : callable, optional', '', ' The function used to compute the center for the clipping. Must', ' be a callable that takes in a masked array and outputs the', ' central value. Defaults to the median (`numpy.ma.median`).', '', ' **stdfunc** : callable, optional', '', ' The function used to compute the standard deviation about the', ' center. Must be a callable that takes in a masked array and', ' outputs a width estimator. Masked (rejected) pixels are those', ' where::', ' ', ' deviation < (-sigma_lower * stdfunc(deviation))', ' deviation > (sigma_upper * stdfunc(deviation))', ' ', ' where::', ' ', ' deviation = data - cenfunc(data [,axis=int])', ' ', ' Defaults to the standard deviation (`numpy.std`).', '', '.. seealso::', '', ' ', ' :obj:`sigma_clip`', ' ', '.. rubric:: Examples', '', '', 'This example generates random variates from a Gaussian distribution', 'and returns a masked array in which all points that are more than 2', 'sample standard deviations from the median are masked::', '', ' >>> from astropy.stats import SigmaClip', ' >>> from numpy.random import randn', ' >>> randvar = randn(10000)', ' >>> sigclip = SigmaClip(sigma=2, iters=5)', ' >>> filtered_data = sigclip(randvar)', '', 'This example sigma clips on a similar distribution, but uses 3 sigma', 'relative to the sample *mean*, clips until convergence, and does not', 'copy the data::', '', ' >>> from astropy.stats import SigmaClip', ' >>> from numpy.random import randn', ' >>> from numpy import mean', ' >>> randvar = randn(10000)', ' >>> sigclip = SigmaClip(sigma=3, iters=None, cenfunc=mean)', ' >>> filtered_data = sigclip(randvar, copy=False)', '', 'This example sigma clips along one axis on a similar distribution', '(with bad points inserted)::', '', ' >>> from astropy.stats import SigmaClip', ' >>> from numpy.random import normal', ' >>> from numpy import arange, diag, ones', ' >>> data = arange(5) + normal(0., 0.05, (5, 5)) + diag(ones(5))', ' >>> sigclip = SigmaClip(sigma=2.3)', ' >>> filtered_data = sigclip(data, axis=0)', '', 'Note that along the other axis, no points would be masked, as the', 'variance is higher.', '', '.. rubric:: Methods Summary', '', '.. autosummary::', '', ' ~SigmaClip.__call__', '', '.. rubric:: Methods Documentation', '', '.. automethod:: __call__']:37: WARNING: py:obj reference target not found: None ['SigmaClip(sigma=3.0, sigma_lower=None, sigma_upper=None, iters=5, cenfunc=, stdfunc=)', ':module: astropy.stats', '', 'Bases: :class:`object`', '', '', '', 'Class to perform sigma clipping.', '', 'The data will be iterated over, each time rejecting points that are', 'discrepant by more than a specified number of standard deviations', 'from a center value. If the data contains invalid values (NaNs or', 'infs), they are automatically masked before performing the sigma', 'clipping.', '', 'For a functional interface to sigma clipping, see', ':func:`sigma_clip`.', '', '.. note::', ' `scipy.stats.sigmaclip', ' `_', ' provides a subset of the functionality in this class.', '', ':Parameters:', '', ' **sigma** : float, optional', '', ' The number of standard deviations to use for both the lower and', ' upper clipping limit. These limits are overridden by', ' ``sigma_lower`` and ``sigma_upper``, if input. Defaults to 3.', '', ' **sigma_lower** : float or `None`, optional', '', ' The number of standard deviations to use as the lower bound for', ' the clipping limit. If `None` then the value of ``sigma`` is', ' used. Defaults to `None`.', '', ' **sigma_upper** : float or `None`, optional', '', ' The number of standard deviations to use as the upper bound for', ' the clipping limit. If `None` then the value of ``sigma`` is', ' used. Defaults to `None`.', '', ' **iters** : int or `None`, optional', '', ' The number of iterations to perform sigma clipping, or `None` to', ' clip until convergence is achieved (i.e., continue until the', ' last iteration clips nothing). Defaults to 5.', '', ' **cenfunc** : callable, optional', '', ' The function used to compute the center for the clipping. Must', ' be a callable that takes in a masked array and outputs the', ' central value. Defaults to the median (`numpy.ma.median`).', '', ' **stdfunc** : callable, optional', '', ' The function used to compute the standard deviation about the', ' center. Must be a callable that takes in a masked array and', ' outputs a width estimator. Masked (rejected) pixels are those', ' where::', ' ', ' deviation < (-sigma_lower * stdfunc(deviation))', ' deviation > (sigma_upper * stdfunc(deviation))', ' ', ' where::', ' ', ' deviation = data - cenfunc(data [,axis=int])', ' ', ' Defaults to the standard deviation (`numpy.std`).', '', '.. seealso::', '', ' ', ' :obj:`sigma_clip`', ' ', '.. rubric:: Examples', '', '', 'This example generates random variates from a Gaussian distribution', 'and returns a masked array in which all points that are more than 2', 'sample standard deviations from the median are masked::', '', ' >>> from astropy.stats import SigmaClip', ' >>> from numpy.random import randn', ' >>> randvar = randn(10000)', ' >>> sigclip = SigmaClip(sigma=2, iters=5)', ' >>> filtered_data = sigclip(randvar)', '', 'This example sigma clips on a similar distribution, but uses 3 sigma', 'relative to the sample *mean*, clips until convergence, and does not', 'copy the data::', '', ' >>> from astropy.stats import SigmaClip', ' >>> from numpy.random import randn', ' >>> from numpy import mean', ' >>> randvar = randn(10000)', ' >>> sigclip = SigmaClip(sigma=3, iters=None, cenfunc=mean)', ' >>> filtered_data = sigclip(randvar, copy=False)', '', 'This example sigma clips along one axis on a similar distribution', '(with bad points inserted)::', '', ' >>> from astropy.stats import SigmaClip', ' >>> from numpy.random import normal', ' >>> from numpy import arange, diag, ones', ' >>> data = arange(5) + normal(0., 0.05, (5, 5)) + diag(ones(5))', ' >>> sigclip = SigmaClip(sigma=2.3)', ' >>> filtered_data = sigclip(data, axis=0)', '', 'Note that along the other axis, no points would be masked, as the', 'variance is higher.', '', '.. rubric:: Methods Summary', '', '.. autosummary::', '', ' ~SigmaClip.__call__', '', '.. rubric:: Methods Documentation', '', '.. automethod:: __call__']:37: WARNING: py:obj reference target not found: None ['SigmaClip(sigma=3.0, sigma_lower=None, sigma_upper=None, iters=5, cenfunc=, stdfunc=)', ':module: astropy.stats', '', 'Bases: :class:`object`', '', '', '', 'Class to perform sigma clipping.', '', 'The data will be iterated over, each time rejecting points that are', 'discrepant by more than a specified number of standard deviations', 'from a center value. If the data contains invalid values (NaNs or', 'infs), they are automatically masked before performing the sigma', 'clipping.', '', 'For a functional interface to sigma clipping, see', ':func:`sigma_clip`.', '', '.. note::', ' `scipy.stats.sigmaclip', ' `_', ' provides a subset of the functionality in this class.', '', ':Parameters:', '', ' **sigma** : float, optional', '', ' The number of standard deviations to use for both the lower and', ' upper clipping limit. These limits are overridden by', ' ``sigma_lower`` and ``sigma_upper``, if input. Defaults to 3.', '', ' **sigma_lower** : float or `None`, optional', '', ' The number of standard deviations to use as the lower bound for', ' the clipping limit. If `None` then the value of ``sigma`` is', ' used. Defaults to `None`.', '', ' **sigma_upper** : float or `None`, optional', '', ' The number of standard deviations to use as the upper bound for', ' the clipping limit. If `None` then the value of ``sigma`` is', ' used. Defaults to `None`.', '', ' **iters** : int or `None`, optional', '', ' The number of iterations to perform sigma clipping, or `None` to', ' clip until convergence is achieved (i.e., continue until the', ' last iteration clips nothing). Defaults to 5.', '', ' **cenfunc** : callable, optional', '', ' The function used to compute the center for the clipping. Must', ' be a callable that takes in a masked array and outputs the', ' central value. Defaults to the median (`numpy.ma.median`).', '', ' **stdfunc** : callable, optional', '', ' The function used to compute the standard deviation about the', ' center. Must be a callable that takes in a masked array and', ' outputs a width estimator. Masked (rejected) pixels are those', ' where::', ' ', ' deviation < (-sigma_lower * stdfunc(deviation))', ' deviation > (sigma_upper * stdfunc(deviation))', ' ', ' where::', ' ', ' deviation = data - cenfunc(data [,axis=int])', ' ', ' Defaults to the standard deviation (`numpy.std`).', '', '.. seealso::', '', ' ', ' :obj:`sigma_clip`', ' ', '.. rubric:: Examples', '', '', 'This example generates random variates from a Gaussian distribution', 'and returns a masked array in which all points that are more than 2', 'sample standard deviations from the median are masked::', '', ' >>> from astropy.stats import SigmaClip', ' >>> from numpy.random import randn', ' >>> randvar = randn(10000)', ' >>> sigclip = SigmaClip(sigma=2, iters=5)', ' >>> filtered_data = sigclip(randvar)', '', 'This example sigma clips on a similar distribution, but uses 3 sigma', 'relative to the sample *mean*, clips until convergence, and does not', 'copy the data::', '', ' >>> from astropy.stats import SigmaClip', ' >>> from numpy.random import randn', ' >>> from numpy import mean', ' >>> randvar = randn(10000)', ' >>> sigclip = SigmaClip(sigma=3, iters=None, cenfunc=mean)', ' >>> filtered_data = sigclip(randvar, copy=False)', '', 'This example sigma clips along one axis on a similar distribution', '(with bad points inserted)::', '', ' >>> from astropy.stats import SigmaClip', ' >>> from numpy.random import normal', ' >>> from numpy import arange, diag, ones', ' >>> data = arange(5) + normal(0., 0.05, (5, 5)) + diag(ones(5))', ' >>> sigclip = SigmaClip(sigma=2.3)', ' >>> filtered_data = sigclip(data, axis=0)', '', 'Note that along the other axis, no points would be masked, as the', 'variance is higher.', '', '.. rubric:: Methods Summary', '', '.. autosummary::', '', ' ~SigmaClip.__call__', '', '.. rubric:: Methods Documentation', '', '.. automethod:: __call__']:41: WARNING: py:obj reference target not found: None ['SigmaClip(sigma=3.0, sigma_lower=None, sigma_upper=None, iters=5, cenfunc=, stdfunc=)', ':module: astropy.stats', '', 'Bases: :class:`object`', '', '', '', 'Class to perform sigma clipping.', '', 'The data will be iterated over, each time rejecting points that are', 'discrepant by more than a specified number of standard deviations', 'from a center value. If the data contains invalid values (NaNs or', 'infs), they are automatically masked before performing the sigma', 'clipping.', '', 'For a functional interface to sigma clipping, see', ':func:`sigma_clip`.', '', '.. note::', ' `scipy.stats.sigmaclip', ' `_', ' provides a subset of the functionality in this class.', '', ':Parameters:', '', ' **sigma** : float, optional', '', ' The number of standard deviations to use for both the lower and', ' upper clipping limit. These limits are overridden by', ' ``sigma_lower`` and ``sigma_upper``, if input. Defaults to 3.', '', ' **sigma_lower** : float or `None`, optional', '', ' The number of standard deviations to use as the lower bound for', ' the clipping limit. If `None` then the value of ``sigma`` is', ' used. Defaults to `None`.', '', ' **sigma_upper** : float or `None`, optional', '', ' The number of standard deviations to use as the upper bound for', ' the clipping limit. If `None` then the value of ``sigma`` is', ' used. Defaults to `None`.', '', ' **iters** : int or `None`, optional', '', ' The number of iterations to perform sigma clipping, or `None` to', ' clip until convergence is achieved (i.e., continue until the', ' last iteration clips nothing). Defaults to 5.', '', ' **cenfunc** : callable, optional', '', ' The function used to compute the center for the clipping. Must', ' be a callable that takes in a masked array and outputs the', ' central value. Defaults to the median (`numpy.ma.median`).', '', ' **stdfunc** : callable, optional', '', ' The function used to compute the standard deviation about the', ' center. Must be a callable that takes in a masked array and', ' outputs a width estimator. Masked (rejected) pixels are those', ' where::', ' ', ' deviation < (-sigma_lower * stdfunc(deviation))', ' deviation > (sigma_upper * stdfunc(deviation))', ' ', ' where::', ' ', ' deviation = data - cenfunc(data [,axis=int])', ' ', ' Defaults to the standard deviation (`numpy.std`).', '', '.. seealso::', '', ' ', ' :obj:`sigma_clip`', ' ', '.. rubric:: Examples', '', '', 'This example generates random variates from a Gaussian distribution', 'and returns a masked array in which all points that are more than 2', 'sample standard deviations from the median are masked::', '', ' >>> from astropy.stats import SigmaClip', ' >>> from numpy.random import randn', ' >>> randvar = randn(10000)', ' >>> sigclip = SigmaClip(sigma=2, iters=5)', ' >>> filtered_data = sigclip(randvar)', '', 'This example sigma clips on a similar distribution, but uses 3 sigma', 'relative to the sample *mean*, clips until convergence, and does not', 'copy the data::', '', ' >>> from astropy.stats import SigmaClip', ' >>> from numpy.random import randn', ' >>> from numpy import mean', ' >>> randvar = randn(10000)', ' >>> sigclip = SigmaClip(sigma=3, iters=None, cenfunc=mean)', ' >>> filtered_data = sigclip(randvar, copy=False)', '', 'This example sigma clips along one axis on a similar distribution', '(with bad points inserted)::', '', ' >>> from astropy.stats import SigmaClip', ' >>> from numpy.random import normal', ' >>> from numpy import arange, diag, ones', ' >>> data = arange(5) + normal(0., 0.05, (5, 5)) + diag(ones(5))', ' >>> sigclip = SigmaClip(sigma=2.3)', ' >>> filtered_data = sigclip(data, axis=0)', '', 'Note that along the other axis, no points would be masked, as the', 'variance is higher.', '', '.. rubric:: Methods Summary', '', '.. autosummary::', '', ' ~SigmaClip.__call__', '', '.. rubric:: Methods Documentation', '', '.. automethod:: __call__']:43: WARNING: py:obj reference target not found: None ['SigmaClip(sigma=3.0, sigma_lower=None, sigma_upper=None, iters=5, cenfunc=, stdfunc=)', ':module: astropy.stats', '', 'Bases: :class:`object`', '', '', '', 'Class to perform sigma clipping.', '', 'The data will be iterated over, each time rejecting points that are', 'discrepant by more than a specified number of standard deviations', 'from a center value. If the data contains invalid values (NaNs or', 'infs), they are automatically masked before performing the sigma', 'clipping.', '', 'For a functional interface to sigma clipping, see', ':func:`sigma_clip`.', '', '.. note::', ' `scipy.stats.sigmaclip', ' `_', ' provides a subset of the functionality in this class.', '', ':Parameters:', '', ' **sigma** : float, optional', '', ' The number of standard deviations to use for both the lower and', ' upper clipping limit. These limits are overridden by', ' ``sigma_lower`` and ``sigma_upper``, if input. Defaults to 3.', '', ' **sigma_lower** : float or `None`, optional', '', ' The number of standard deviations to use as the lower bound for', ' the clipping limit. If `None` then the value of ``sigma`` is', ' used. Defaults to `None`.', '', ' **sigma_upper** : float or `None`, optional', '', ' The number of standard deviations to use as the upper bound for', ' the clipping limit. If `None` then the value of ``sigma`` is', ' used. Defaults to `None`.', '', ' **iters** : int or `None`, optional', '', ' The number of iterations to perform sigma clipping, or `None` to', ' clip until convergence is achieved (i.e., continue until the', ' last iteration clips nothing). Defaults to 5.', '', ' **cenfunc** : callable, optional', '', ' The function used to compute the center for the clipping. Must', ' be a callable that takes in a masked array and outputs the', ' central value. Defaults to the median (`numpy.ma.median`).', '', ' **stdfunc** : callable, optional', '', ' The function used to compute the standard deviation about the', ' center. Must be a callable that takes in a masked array and', ' outputs a width estimator. Masked (rejected) pixels are those', ' where::', ' ', ' deviation < (-sigma_lower * stdfunc(deviation))', ' deviation > (sigma_upper * stdfunc(deviation))', ' ', ' where::', ' ', ' deviation = data - cenfunc(data [,axis=int])', ' ', ' Defaults to the standard deviation (`numpy.std`).', '', '.. seealso::', '', ' ', ' :obj:`sigma_clip`', ' ', '.. rubric:: Examples', '', '', 'This example generates random variates from a Gaussian distribution', 'and returns a masked array in which all points that are more than 2', 'sample standard deviations from the median are masked::', '', ' >>> from astropy.stats import SigmaClip', ' >>> from numpy.random import randn', ' >>> randvar = randn(10000)', ' >>> sigclip = SigmaClip(sigma=2, iters=5)', ' >>> filtered_data = sigclip(randvar)', '', 'This example sigma clips on a similar distribution, but uses 3 sigma', 'relative to the sample *mean*, clips until convergence, and does not', 'copy the data::', '', ' >>> from astropy.stats import SigmaClip', ' >>> from numpy.random import randn', ' >>> from numpy import mean', ' >>> randvar = randn(10000)', ' >>> sigclip = SigmaClip(sigma=3, iters=None, cenfunc=mean)', ' >>> filtered_data = sigclip(randvar, copy=False)', '', 'This example sigma clips along one axis on a similar distribution', '(with bad points inserted)::', '', ' >>> from astropy.stats import SigmaClip', ' >>> from numpy.random import normal', ' >>> from numpy import arange, diag, ones', ' >>> data = arange(5) + normal(0., 0.05, (5, 5)) + diag(ones(5))', ' >>> sigclip = SigmaClip(sigma=2.3)', ' >>> filtered_data = sigclip(data, axis=0)', '', 'Note that along the other axis, no points would be masked, as the', 'variance is higher.', '', '.. rubric:: Methods Summary', '', '.. autosummary::', '', ' ~SigmaClip.__call__', '', '.. rubric:: Methods Documentation', '', '.. automethod:: __call__']:49: WARNING: py:obj reference target not found: numpy.ma.median ['SigmaClip(sigma=3.0, sigma_lower=None, sigma_upper=None, iters=5, cenfunc=, stdfunc=)', ':module: astropy.stats', '', 'Bases: :class:`object`', '', '', '', 'Class to perform sigma clipping.', '', 'The data will be iterated over, each time rejecting points that are', 'discrepant by more than a specified number of standard deviations', 'from a center value. If the data contains invalid values (NaNs or', 'infs), they are automatically masked before performing the sigma', 'clipping.', '', 'For a functional interface to sigma clipping, see', ':func:`sigma_clip`.', '', '.. note::', ' `scipy.stats.sigmaclip', ' `_', ' provides a subset of the functionality in this class.', '', ':Parameters:', '', ' **sigma** : float, optional', '', ' The number of standard deviations to use for both the lower and', ' upper clipping limit. These limits are overridden by', ' ``sigma_lower`` and ``sigma_upper``, if input. Defaults to 3.', '', ' **sigma_lower** : float or `None`, optional', '', ' The number of standard deviations to use as the lower bound for', ' the clipping limit. If `None` then the value of ``sigma`` is', ' used. Defaults to `None`.', '', ' **sigma_upper** : float or `None`, optional', '', ' The number of standard deviations to use as the upper bound for', ' the clipping limit. If `None` then the value of ``sigma`` is', ' used. Defaults to `None`.', '', ' **iters** : int or `None`, optional', '', ' The number of iterations to perform sigma clipping, or `None` to', ' clip until convergence is achieved (i.e., continue until the', ' last iteration clips nothing). Defaults to 5.', '', ' **cenfunc** : callable, optional', '', ' The function used to compute the center for the clipping. Must', ' be a callable that takes in a masked array and outputs the', ' central value. Defaults to the median (`numpy.ma.median`).', '', ' **stdfunc** : callable, optional', '', ' The function used to compute the standard deviation about the', ' center. Must be a callable that takes in a masked array and', ' outputs a width estimator. Masked (rejected) pixels are those', ' where::', ' ', ' deviation < (-sigma_lower * stdfunc(deviation))', ' deviation > (sigma_upper * stdfunc(deviation))', ' ', ' where::', ' ', ' deviation = data - cenfunc(data [,axis=int])', ' ', ' Defaults to the standard deviation (`numpy.std`).', '', '.. seealso::', '', ' ', ' :obj:`sigma_clip`', ' ', '.. rubric:: Examples', '', '', 'This example generates random variates from a Gaussian distribution', 'and returns a masked array in which all points that are more than 2', 'sample standard deviations from the median are masked::', '', ' >>> from astropy.stats import SigmaClip', ' >>> from numpy.random import randn', ' >>> randvar = randn(10000)', ' >>> sigclip = SigmaClip(sigma=2, iters=5)', ' >>> filtered_data = sigclip(randvar)', '', 'This example sigma clips on a similar distribution, but uses 3 sigma', 'relative to the sample *mean*, clips until convergence, and does not', 'copy the data::', '', ' >>> from astropy.stats import SigmaClip', ' >>> from numpy.random import randn', ' >>> from numpy import mean', ' >>> randvar = randn(10000)', ' >>> sigclip = SigmaClip(sigma=3, iters=None, cenfunc=mean)', ' >>> filtered_data = sigclip(randvar, copy=False)', '', 'This example sigma clips along one axis on a similar distribution', '(with bad points inserted)::', '', ' >>> from astropy.stats import SigmaClip', ' >>> from numpy.random import normal', ' >>> from numpy import arange, diag, ones', ' >>> data = arange(5) + normal(0., 0.05, (5, 5)) + diag(ones(5))', ' >>> sigclip = SigmaClip(sigma=2.3)', ' >>> filtered_data = sigclip(data, axis=0)', '', 'Note that along the other axis, no points would be masked, as the', 'variance is higher.', '', '.. rubric:: Methods Summary', '', '.. autosummary::', '', ' ~SigmaClip.__call__', '', '.. rubric:: Methods Documentation', '', '.. automethod:: __call__']:67: WARNING: py:obj reference target not found: numpy.std /<>/docs/api/astropy.stats.SigmaClip.rst:17: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.stats.SigmaClip.rst:19: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.stats.SigmaClip.rst:19: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.stats.SigmaClip.rst:19: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.stats.SigmaClip.rst:27: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.stats.SigmaClip.rst:27: WARNING: py:obj reference target not found: False /<>/docs/api/astropy.stats.SigmaClip.rst:27: WARNING: py:obj reference target not found: True ['SigmaClip.__call__(data, axis=None, copy=True)', ':module: astropy.stats', '', '', '', 'Perform sigma clipping on the provided data.', '', '', ':Parameters:', '', ' **data** : array-like', '', ' The data to be sigma clipped.', '', ' **axis** : int or `None`, optional', '', ' If not `None`, clip along the given axis. For this case,', ' ``axis`` will be passed on to ``cenfunc`` and ``stdfunc``,', ' which are expected to return an array with the axis', ' dimension removed (like the numpy functions). If `None`,', ' clip over all axes. Defaults to `None`.', '', ' **copy** : bool, optional', '', ' If `True`, the ``data`` array will be copied. If `False`,', ' the returned masked array data will contain the same array', ' as ``data``. Defaults to `True`.', '', ':Returns:', '', ' **filtered_data** : `numpy.ma.MaskedArray`', '', ' A masked array with the same shape as ``data`` input, where', ' the points rejected by the algorithm have been masked.']:27: WARNING: py:obj reference target not found: numpy.ma.MaskedArray ["binned_binom_proportion(x, success, bins=10, range=None, conf=0.68269, interval='wilson')", ':module: astropy.stats', '', '', '', 'Binomial proportion and confidence interval in bins of a continuous', 'variable ``x``.', '', 'Given a set of datapoint pairs where the ``x`` values are', 'continuously distributed and the ``success`` values are binomial', '("success / failure" or "true / false"), place the pairs into', 'bins according to ``x`` value and calculate the binomial proportion', '(fraction of successes) and confidence interval in each bin.', '', ':Parameters:', '', ' **x** : list_like', '', ' Values.', '', ' **success** : list_like (bool)', '', ' Success (`True`) or failure (`False`) corresponding to each value', ' in ``x``. Must be same length as ``x``.', '', ' **bins** : int or sequence of scalars, optional', '', ' If bins is an int, it defines the number of equal-width bins', ' in the given range (10, by default). If bins is a sequence, it', ' defines the bin edges, including the rightmost edge, allowing', " for non-uniform bin widths (in this case, 'range' is ignored).", '', ' **range** : (float, float), optional', '', ' The lower and upper range of the bins. If `None` (default),', ' the range is set to ``(x.min(), x.max())``. Values outside the', ' range are ignored.', '', ' **conf** : float in [0, 1], optional', '', ' Desired probability content in the confidence', ' interval ``(p - perr[0], p + perr[1])`` in each bin. Default is', ' 0.68269.', '', " **interval** : {'wilson', 'jeffreys', 'flat', 'wald'}, optional", '', ' Formula used to calculate confidence interval on the', ' binomial proportion in each bin. See `binom_conf_interval` for', " definition of the intervals. The 'wilson', 'jeffreys',", " and 'flat' intervals generally give similar results. 'wilson'", " should be somewhat faster, while 'jeffreys' and 'flat' are", ' marginally superior, but differ in the assumed prior.', " The 'wald' interval is generally not recommended.", " It is provided for comparison purposes. Default is 'wilson'.", '', ':Returns:', '', ' **bin_ctr** : numpy.ndarray', '', ' Central value of bins. Bins without any entries are not returned.', '', ' **bin_halfwidth** : numpy.ndarray', '', ' Half-width of each bin such that ``bin_ctr - bin_halfwidth`` and', ' ``bin_ctr + bins_halfwidth`` give the left and right side of each bin,', ' respectively.', '', ' **p** : numpy.ndarray', '', ' Efficiency in each bin.', '', ' **perr** : numpy.ndarray', '', ' 2-d array of shape (2, len(p)) representing the upper and lower', ' uncertainty on p in each bin.', '', '.. seealso::', '', ' ', ' :obj:`binom_conf_interval`', ' Function used to estimate confidence interval in each bin.', ' ', '.. rubric:: Examples', '', '', 'Suppose we wish to estimate the efficiency of a survey in', 'detecting astronomical sources as a function of magnitude (i.e.,', 'the probability of detecting a source given its magnitude). In a', 'realistic case, we might prepare a large number of sources with', 'randomly selected magnitudes, inject them into simulated images,', 'and then record which were detected at the end of the reduction', 'pipeline. As a toy example, we generate 100 data points with', 'randomly selected magnitudes between 20 and 30 and "observe" them', 'with a known detection function (here, the error function, with', '50% detection probability at magnitude 25):', '', '>>> from scipy.special import erf', '>>> from scipy.stats.distributions import binom', '>>> def true_efficiency(x):', '... return 0.5 - 0.5 * erf((x - 25.) / 2.)', '>>> mag = 20. + 10. * np.random.rand(100)', '>>> detected = binom.rvs(1, true_efficiency(mag))', '>>> bins, binshw, p, perr = binned_binom_proportion(mag, detected, bins=20)', ">>> plt.errorbar(bins, p, xerr=binshw, yerr=perr, ls='none', marker='o',", "... label='estimate')", '', '.. plot::', '', ' import numpy as np', ' from scipy.special import erf', ' from scipy.stats.distributions import binom', ' import matplotlib.pyplot as plt', ' from astropy.stats import binned_binom_proportion', ' def true_efficiency(x):', ' return 0.5 - 0.5 * erf((x - 25.) / 2.)', ' np.random.seed(400)', ' mag = 20. + 10. * np.random.rand(100)', ' np.random.seed(600)', ' detected = binom.rvs(1, true_efficiency(mag))', ' bins, binshw, p, perr = binned_binom_proportion(mag, detected, bins=20)', " plt.errorbar(bins, p, xerr=binshw, yerr=perr, ls='none', marker='o',", " label='estimate')", ' X = np.linspace(20., 30., 1000)', " plt.plot(X, true_efficiency(X), label='true efficiency')", ' plt.ylim(0., 1.)', " plt.title('Detection efficiency vs magnitude')", " plt.xlabel('Magnitude')", " plt.ylabel('Detection efficiency')", ' plt.legend()', ' plt.show()', '', 'The above example uses the Wilson confidence interval to calculate', 'the uncertainty ``perr`` in each bin (see the definition of various', 'confidence intervals in `binom_conf_interval`). A commonly used', 'alternative is the Wald interval. However, the Wald interval can', 'give nonsensical uncertainties when the efficiency is near 0 or 1,', 'and is therefore **not** recommended. As an illustration, the', 'following example shows the same data as above but uses the Wald', 'interval rather than the Wilson interval to calculate ``perr``:', '', '>>> bins, binshw, p, perr = binned_binom_proportion(mag, detected, bins=20,', "... interval='wald')", ">>> plt.errorbar(bins, p, xerr=binshw, yerr=perr, ls='none', marker='o',", "... label='estimate')", '', '.. plot::', '', ' import numpy as np', ' from scipy.special import erf', ' from scipy.stats.distributions import binom', ' import matplotlib.pyplot as plt', ' from astropy.stats import binned_binom_proportion', ' def true_efficiency(x):', ' return 0.5 - 0.5 * erf((x - 25.) / 2.)', ' np.random.seed(400)', ' mag = 20. + 10. * np.random.rand(100)', ' np.random.seed(600)', ' detected = binom.rvs(1, true_efficiency(mag))', ' bins, binshw, p, perr = binned_binom_proportion(mag, detected, bins=20,', " interval='wald')", " plt.errorbar(bins, p, xerr=binshw, yerr=perr, ls='none', marker='o',", " label='estimate')", ' X = np.linspace(20., 30., 1000)', " plt.plot(X, true_efficiency(X), label='true efficiency')", ' plt.ylim(0., 1.)', " plt.title('The Wald interval can give nonsensical uncertainties')", " plt.xlabel('Magnitude')", " plt.ylabel('Detection efficiency')", ' plt.legend()', ' plt.show()']:20: WARNING: py:obj reference target not found: True ["binned_binom_proportion(x, success, bins=10, range=None, conf=0.68269, interval='wilson')", ':module: astropy.stats', '', '', '', 'Binomial proportion and confidence interval in bins of a continuous', 'variable ``x``.', '', 'Given a set of datapoint pairs where the ``x`` values are', 'continuously distributed and the ``success`` values are binomial', '("success / failure" or "true / false"), place the pairs into', 'bins according to ``x`` value and calculate the binomial proportion', '(fraction of successes) and confidence interval in each bin.', '', ':Parameters:', '', ' **x** : list_like', '', ' Values.', '', ' **success** : list_like (bool)', '', ' Success (`True`) or failure (`False`) corresponding to each value', ' in ``x``. Must be same length as ``x``.', '', ' **bins** : int or sequence of scalars, optional', '', ' If bins is an int, it defines the number of equal-width bins', ' in the given range (10, by default). If bins is a sequence, it', ' defines the bin edges, including the rightmost edge, allowing', " for non-uniform bin widths (in this case, 'range' is ignored).", '', ' **range** : (float, float), optional', '', ' The lower and upper range of the bins. If `None` (default),', ' the range is set to ``(x.min(), x.max())``. Values outside the', ' range are ignored.', '', ' **conf** : float in [0, 1], optional', '', ' Desired probability content in the confidence', ' interval ``(p - perr[0], p + perr[1])`` in each bin. Default is', ' 0.68269.', '', " **interval** : {'wilson', 'jeffreys', 'flat', 'wald'}, optional", '', ' Formula used to calculate confidence interval on the', ' binomial proportion in each bin. See `binom_conf_interval` for', " definition of the intervals. The 'wilson', 'jeffreys',", " and 'flat' intervals generally give similar results. 'wilson'", " should be somewhat faster, while 'jeffreys' and 'flat' are", ' marginally superior, but differ in the assumed prior.', " The 'wald' interval is generally not recommended.", " It is provided for comparison purposes. Default is 'wilson'.", '', ':Returns:', '', ' **bin_ctr** : numpy.ndarray', '', ' Central value of bins. Bins without any entries are not returned.', '', ' **bin_halfwidth** : numpy.ndarray', '', ' Half-width of each bin such that ``bin_ctr - bin_halfwidth`` and', ' ``bin_ctr + bins_halfwidth`` give the left and right side of each bin,', ' respectively.', '', ' **p** : numpy.ndarray', '', ' Efficiency in each bin.', '', ' **perr** : numpy.ndarray', '', ' 2-d array of shape (2, len(p)) representing the upper and lower', ' uncertainty on p in each bin.', '', '.. seealso::', '', ' ', ' :obj:`binom_conf_interval`', ' Function used to estimate confidence interval in each bin.', ' ', '.. rubric:: Examples', '', '', 'Suppose we wish to estimate the efficiency of a survey in', 'detecting astronomical sources as a function of magnitude (i.e.,', 'the probability of detecting a source given its magnitude). In a', 'realistic case, we might prepare a large number of sources with', 'randomly selected magnitudes, inject them into simulated images,', 'and then record which were detected at the end of the reduction', 'pipeline. As a toy example, we generate 100 data points with', 'randomly selected magnitudes between 20 and 30 and "observe" them', 'with a known detection function (here, the error function, with', '50% detection probability at magnitude 25):', '', '>>> from scipy.special import erf', '>>> from scipy.stats.distributions import binom', '>>> def true_efficiency(x):', '... return 0.5 - 0.5 * erf((x - 25.) / 2.)', '>>> mag = 20. + 10. * np.random.rand(100)', '>>> detected = binom.rvs(1, true_efficiency(mag))', '>>> bins, binshw, p, perr = binned_binom_proportion(mag, detected, bins=20)', ">>> plt.errorbar(bins, p, xerr=binshw, yerr=perr, ls='none', marker='o',", "... label='estimate')", '', '.. plot::', '', ' import numpy as np', ' from scipy.special import erf', ' from scipy.stats.distributions import binom', ' import matplotlib.pyplot as plt', ' from astropy.stats import binned_binom_proportion', ' def true_efficiency(x):', ' return 0.5 - 0.5 * erf((x - 25.) / 2.)', ' np.random.seed(400)', ' mag = 20. + 10. * np.random.rand(100)', ' np.random.seed(600)', ' detected = binom.rvs(1, true_efficiency(mag))', ' bins, binshw, p, perr = binned_binom_proportion(mag, detected, bins=20)', " plt.errorbar(bins, p, xerr=binshw, yerr=perr, ls='none', marker='o',", " label='estimate')", ' X = np.linspace(20., 30., 1000)', " plt.plot(X, true_efficiency(X), label='true efficiency')", ' plt.ylim(0., 1.)', " plt.title('Detection efficiency vs magnitude')", " plt.xlabel('Magnitude')", " plt.ylabel('Detection efficiency')", ' plt.legend()', ' plt.show()', '', 'The above example uses the Wilson confidence interval to calculate', 'the uncertainty ``perr`` in each bin (see the definition of various', 'confidence intervals in `binom_conf_interval`). A commonly used', 'alternative is the Wald interval. However, the Wald interval can', 'give nonsensical uncertainties when the efficiency is near 0 or 1,', 'and is therefore **not** recommended. As an illustration, the', 'following example shows the same data as above but uses the Wald', 'interval rather than the Wilson interval to calculate ``perr``:', '', '>>> bins, binshw, p, perr = binned_binom_proportion(mag, detected, bins=20,', "... interval='wald')", ">>> plt.errorbar(bins, p, xerr=binshw, yerr=perr, ls='none', marker='o',", "... label='estimate')", '', '.. plot::', '', ' import numpy as np', ' from scipy.special import erf', ' from scipy.stats.distributions import binom', ' import matplotlib.pyplot as plt', ' from astropy.stats import binned_binom_proportion', ' def true_efficiency(x):', ' return 0.5 - 0.5 * erf((x - 25.) / 2.)', ' np.random.seed(400)', ' mag = 20. + 10. * np.random.rand(100)', ' np.random.seed(600)', ' detected = binom.rvs(1, true_efficiency(mag))', ' bins, binshw, p, perr = binned_binom_proportion(mag, detected, bins=20,', " interval='wald')", " plt.errorbar(bins, p, xerr=binshw, yerr=perr, ls='none', marker='o',", " label='estimate')", ' X = np.linspace(20., 30., 1000)', " plt.plot(X, true_efficiency(X), label='true efficiency')", ' plt.ylim(0., 1.)', " plt.title('The Wald interval can give nonsensical uncertainties')", " plt.xlabel('Magnitude')", " plt.ylabel('Detection efficiency')", ' plt.legend()', ' plt.show()']:20: WARNING: py:obj reference target not found: False ["binned_binom_proportion(x, success, bins=10, range=None, conf=0.68269, interval='wilson')", ':module: astropy.stats', '', '', '', 'Binomial proportion and confidence interval in bins of a continuous', 'variable ``x``.', '', 'Given a set of datapoint pairs where the ``x`` values are', 'continuously distributed and the ``success`` values are binomial', '("success / failure" or "true / false"), place the pairs into', 'bins according to ``x`` value and calculate the binomial proportion', '(fraction of successes) and confidence interval in each bin.', '', ':Parameters:', '', ' **x** : list_like', '', ' Values.', '', ' **success** : list_like (bool)', '', ' Success (`True`) or failure (`False`) corresponding to each value', ' in ``x``. Must be same length as ``x``.', '', ' **bins** : int or sequence of scalars, optional', '', ' If bins is an int, it defines the number of equal-width bins', ' in the given range (10, by default). If bins is a sequence, it', ' defines the bin edges, including the rightmost edge, allowing', " for non-uniform bin widths (in this case, 'range' is ignored).", '', ' **range** : (float, float), optional', '', ' The lower and upper range of the bins. If `None` (default),', ' the range is set to ``(x.min(), x.max())``. Values outside the', ' range are ignored.', '', ' **conf** : float in [0, 1], optional', '', ' Desired probability content in the confidence', ' interval ``(p - perr[0], p + perr[1])`` in each bin. Default is', ' 0.68269.', '', " **interval** : {'wilson', 'jeffreys', 'flat', 'wald'}, optional", '', ' Formula used to calculate confidence interval on the', ' binomial proportion in each bin. See `binom_conf_interval` for', " definition of the intervals. The 'wilson', 'jeffreys',", " and 'flat' intervals generally give similar results. 'wilson'", " should be somewhat faster, while 'jeffreys' and 'flat' are", ' marginally superior, but differ in the assumed prior.', " The 'wald' interval is generally not recommended.", " It is provided for comparison purposes. Default is 'wilson'.", '', ':Returns:', '', ' **bin_ctr** : numpy.ndarray', '', ' Central value of bins. Bins without any entries are not returned.', '', ' **bin_halfwidth** : numpy.ndarray', '', ' Half-width of each bin such that ``bin_ctr - bin_halfwidth`` and', ' ``bin_ctr + bins_halfwidth`` give the left and right side of each bin,', ' respectively.', '', ' **p** : numpy.ndarray', '', ' Efficiency in each bin.', '', ' **perr** : numpy.ndarray', '', ' 2-d array of shape (2, len(p)) representing the upper and lower', ' uncertainty on p in each bin.', '', '.. seealso::', '', ' ', ' :obj:`binom_conf_interval`', ' Function used to estimate confidence interval in each bin.', ' ', '.. rubric:: Examples', '', '', 'Suppose we wish to estimate the efficiency of a survey in', 'detecting astronomical sources as a function of magnitude (i.e.,', 'the probability of detecting a source given its magnitude). In a', 'realistic case, we might prepare a large number of sources with', 'randomly selected magnitudes, inject them into simulated images,', 'and then record which were detected at the end of the reduction', 'pipeline. As a toy example, we generate 100 data points with', 'randomly selected magnitudes between 20 and 30 and "observe" them', 'with a known detection function (here, the error function, with', '50% detection probability at magnitude 25):', '', '>>> from scipy.special import erf', '>>> from scipy.stats.distributions import binom', '>>> def true_efficiency(x):', '... return 0.5 - 0.5 * erf((x - 25.) / 2.)', '>>> mag = 20. + 10. * np.random.rand(100)', '>>> detected = binom.rvs(1, true_efficiency(mag))', '>>> bins, binshw, p, perr = binned_binom_proportion(mag, detected, bins=20)', ">>> plt.errorbar(bins, p, xerr=binshw, yerr=perr, ls='none', marker='o',", "... label='estimate')", '', '.. plot::', '', ' import numpy as np', ' from scipy.special import erf', ' from scipy.stats.distributions import binom', ' import matplotlib.pyplot as plt', ' from astropy.stats import binned_binom_proportion', ' def true_efficiency(x):', ' return 0.5 - 0.5 * erf((x - 25.) / 2.)', ' np.random.seed(400)', ' mag = 20. + 10. * np.random.rand(100)', ' np.random.seed(600)', ' detected = binom.rvs(1, true_efficiency(mag))', ' bins, binshw, p, perr = binned_binom_proportion(mag, detected, bins=20)', " plt.errorbar(bins, p, xerr=binshw, yerr=perr, ls='none', marker='o',", " label='estimate')", ' X = np.linspace(20., 30., 1000)', " plt.plot(X, true_efficiency(X), label='true efficiency')", ' plt.ylim(0., 1.)', " plt.title('Detection efficiency vs magnitude')", " plt.xlabel('Magnitude')", " plt.ylabel('Detection efficiency')", ' plt.legend()', ' plt.show()', '', 'The above example uses the Wilson confidence interval to calculate', 'the uncertainty ``perr`` in each bin (see the definition of various', 'confidence intervals in `binom_conf_interval`). A commonly used', 'alternative is the Wald interval. However, the Wald interval can', 'give nonsensical uncertainties when the efficiency is near 0 or 1,', 'and is therefore **not** recommended. As an illustration, the', 'following example shows the same data as above but uses the Wald', 'interval rather than the Wilson interval to calculate ``perr``:', '', '>>> bins, binshw, p, perr = binned_binom_proportion(mag, detected, bins=20,', "... interval='wald')", ">>> plt.errorbar(bins, p, xerr=binshw, yerr=perr, ls='none', marker='o',", "... label='estimate')", '', '.. plot::', '', ' import numpy as np', ' from scipy.special import erf', ' from scipy.stats.distributions import binom', ' import matplotlib.pyplot as plt', ' from astropy.stats import binned_binom_proportion', ' def true_efficiency(x):', ' return 0.5 - 0.5 * erf((x - 25.) / 2.)', ' np.random.seed(400)', ' mag = 20. + 10. * np.random.rand(100)', ' np.random.seed(600)', ' detected = binom.rvs(1, true_efficiency(mag))', ' bins, binshw, p, perr = binned_binom_proportion(mag, detected, bins=20,', " interval='wald')", " plt.errorbar(bins, p, xerr=binshw, yerr=perr, ls='none', marker='o',", " label='estimate')", ' X = np.linspace(20., 30., 1000)', " plt.plot(X, true_efficiency(X), label='true efficiency')", ' plt.ylim(0., 1.)', " plt.title('The Wald interval can give nonsensical uncertainties')", " plt.xlabel('Magnitude')", " plt.ylabel('Detection efficiency')", ' plt.legend()', ' plt.show()']:32: WARNING: py:obj reference target not found: None ['biweight_location(data, c=6.0, M=None, axis=None)', ':module: astropy.stats.biweight', '', '', '', 'Compute the biweight location.', '', 'The biweight location is a robust statistic for determining the', 'central location of a distribution. It is given by:', '', '.. math::', '', ' \\zeta_{biloc}= M + \\frac{\\Sigma_{|u_i|<1} \\ (x_i - M) (1 - u_i^2)^2}', ' {\\Sigma_{|u_i|<1} \\ (1 - u_i^2)^2}', '', 'where :math:`x` is the input data, :math:`M` is the sample median', '(or the input initial location guess) and :math:`u_i` is given by:', '', '.. math::', '', ' u_{i} = \\frac{(x_i - M)}{c * MAD}', '', 'where :math:`c` is the tuning constant and :math:`MAD` is the', '`median absolute deviation', '`_. The', 'biweight location tuning constant ``c`` is typically 6.0 (the', 'default).', '', ':Parameters:', '', ' **data** : array-like', '', ' Input array or object that can be converted to an array.', '', ' **c** : float, optional', '', ' Tuning constant for the biweight estimator (default = 6.0).', '', ' **M** : float or array-like, optional', '', ' Initial guess for the location. If ``M`` is a scalar value,', ' then its value will be used for the entire array (or along each', ' ``axis``, if specified). If ``M`` is an array, then its must be', ' an array containing the initial location estimate along each', ' ``axis`` of the input array. If `None` (default), then the', ' median of the input array will be used (or along each ``axis``,', ' if specified).', '', ' **axis** : int, optional', '', ' The axis along which the biweight locations are computed. If', ' `None` (default), then the biweight location of the flattened', ' input array will be computed.', '', ':Returns:', '', ' **biweight_location** : float or `~numpy.ndarray`', '', ' The biweight location of the input data. If ``axis`` is `None`', ' then a scalar will be returned, otherwise a `~numpy.ndarray`', ' will be returned.', '', '.. seealso::', '', ' ', ' :obj:`biweight_scale`, :obj:`biweight_midvariance`, :obj:`biweight_midcovariance`', ' ', '.. rubric:: References', '', '.. [R49] Beers, Flynn, and Gebhardt (1990; AJ 100, 32) (http://adsabs.harvard.edu/abs/1990AJ....100...32B)', '', '.. [R50] http://www.itl.nist.gov/div898/software/dataplot/refman2/auxillar/biwloc.htm', '', '.. only:: latex', '', ' [R49]_, [R50]_', '', '.. rubric:: Examples', '', '', 'Generate random variates from a Gaussian distribution and return the', 'biweight location of the distribution:', '', '>>> import numpy as np', '>>> from astropy.stats import biweight_location', '>>> rand = np.random.RandomState(12345)', '>>> biloc = biweight_location(rand.randn(1000))', '>>> print(biloc) # doctest: +FLOAT_CMP', '-0.0175741540445']:38: WARNING: py:obj reference target not found: None ['biweight_location(data, c=6.0, M=None, axis=None)', ':module: astropy.stats.biweight', '', '', '', 'Compute the biweight location.', '', 'The biweight location is a robust statistic for determining the', 'central location of a distribution. It is given by:', '', '.. math::', '', ' \\zeta_{biloc}= M + \\frac{\\Sigma_{|u_i|<1} \\ (x_i - M) (1 - u_i^2)^2}', ' {\\Sigma_{|u_i|<1} \\ (1 - u_i^2)^2}', '', 'where :math:`x` is the input data, :math:`M` is the sample median', '(or the input initial location guess) and :math:`u_i` is given by:', '', '.. math::', '', ' u_{i} = \\frac{(x_i - M)}{c * MAD}', '', 'where :math:`c` is the tuning constant and :math:`MAD` is the', '`median absolute deviation', '`_. The', 'biweight location tuning constant ``c`` is typically 6.0 (the', 'default).', '', ':Parameters:', '', ' **data** : array-like', '', ' Input array or object that can be converted to an array.', '', ' **c** : float, optional', '', ' Tuning constant for the biweight estimator (default = 6.0).', '', ' **M** : float or array-like, optional', '', ' Initial guess for the location. If ``M`` is a scalar value,', ' then its value will be used for the entire array (or along each', ' ``axis``, if specified). If ``M`` is an array, then its must be', ' an array containing the initial location estimate along each', ' ``axis`` of the input array. If `None` (default), then the', ' median of the input array will be used (or along each ``axis``,', ' if specified).', '', ' **axis** : int, optional', '', ' The axis along which the biweight locations are computed. If', ' `None` (default), then the biweight location of the flattened', ' input array will be computed.', '', ':Returns:', '', ' **biweight_location** : float or `~numpy.ndarray`', '', ' The biweight location of the input data. If ``axis`` is `None`', ' then a scalar will be returned, otherwise a `~numpy.ndarray`', ' will be returned.', '', '.. seealso::', '', ' ', ' :obj:`biweight_scale`, :obj:`biweight_midvariance`, :obj:`biweight_midcovariance`', ' ', '.. rubric:: References', '', '.. [R49] Beers, Flynn, and Gebhardt (1990; AJ 100, 32) (http://adsabs.harvard.edu/abs/1990AJ....100...32B)', '', '.. [R50] http://www.itl.nist.gov/div898/software/dataplot/refman2/auxillar/biwloc.htm', '', '.. only:: latex', '', ' [R49]_, [R50]_', '', '.. rubric:: Examples', '', '', 'Generate random variates from a Gaussian distribution and return the', 'biweight location of the distribution:', '', '>>> import numpy as np', '>>> from astropy.stats import biweight_location', '>>> rand = np.random.RandomState(12345)', '>>> biloc = biweight_location(rand.randn(1000))', '>>> print(biloc) # doctest: +FLOAT_CMP', '-0.0175741540445']:48: WARNING: py:obj reference target not found: None ['biweight_location(data, c=6.0, M=None, axis=None)', ':module: astropy.stats.biweight', '', '', '', 'Compute the biweight location.', '', 'The biweight location is a robust statistic for determining the', 'central location of a distribution. It is given by:', '', '.. math::', '', ' \\zeta_{biloc}= M + \\frac{\\Sigma_{|u_i|<1} \\ (x_i - M) (1 - u_i^2)^2}', ' {\\Sigma_{|u_i|<1} \\ (1 - u_i^2)^2}', '', 'where :math:`x` is the input data, :math:`M` is the sample median', '(or the input initial location guess) and :math:`u_i` is given by:', '', '.. math::', '', ' u_{i} = \\frac{(x_i - M)}{c * MAD}', '', 'where :math:`c` is the tuning constant and :math:`MAD` is the', '`median absolute deviation', '`_. The', 'biweight location tuning constant ``c`` is typically 6.0 (the', 'default).', '', ':Parameters:', '', ' **data** : array-like', '', ' Input array or object that can be converted to an array.', '', ' **c** : float, optional', '', ' Tuning constant for the biweight estimator (default = 6.0).', '', ' **M** : float or array-like, optional', '', ' Initial guess for the location. If ``M`` is a scalar value,', ' then its value will be used for the entire array (or along each', ' ``axis``, if specified). If ``M`` is an array, then its must be', ' an array containing the initial location estimate along each', ' ``axis`` of the input array. If `None` (default), then the', ' median of the input array will be used (or along each ``axis``,', ' if specified).', '', ' **axis** : int, optional', '', ' The axis along which the biweight locations are computed. If', ' `None` (default), then the biweight location of the flattened', ' input array will be computed.', '', ':Returns:', '', ' **biweight_location** : float or `~numpy.ndarray`', '', ' The biweight location of the input data. If ``axis`` is `None`', ' then a scalar will be returned, otherwise a `~numpy.ndarray`', ' will be returned.', '', '.. seealso::', '', ' ', ' :obj:`biweight_scale`, :obj:`biweight_midvariance`, :obj:`biweight_midcovariance`', ' ', '.. rubric:: References', '', '.. [R49] Beers, Flynn, and Gebhardt (1990; AJ 100, 32) (http://adsabs.harvard.edu/abs/1990AJ....100...32B)', '', '.. [R50] http://www.itl.nist.gov/div898/software/dataplot/refman2/auxillar/biwloc.htm', '', '.. only:: latex', '', ' [R49]_, [R50]_', '', '.. rubric:: Examples', '', '', 'Generate random variates from a Gaussian distribution and return the', 'biweight location of the distribution:', '', '>>> import numpy as np', '>>> from astropy.stats import biweight_location', '>>> rand = np.random.RandomState(12345)', '>>> biloc = biweight_location(rand.randn(1000))', '>>> print(biloc) # doctest: +FLOAT_CMP', '-0.0175741540445']:54: WARNING: py:obj reference target not found: numpy.ndarray ['biweight_location(data, c=6.0, M=None, axis=None)', ':module: astropy.stats.biweight', '', '', '', 'Compute the biweight location.', '', 'The biweight location is a robust statistic for determining the', 'central location of a distribution. It is given by:', '', '.. math::', '', ' \\zeta_{biloc}= M + \\frac{\\Sigma_{|u_i|<1} \\ (x_i - M) (1 - u_i^2)^2}', ' {\\Sigma_{|u_i|<1} \\ (1 - u_i^2)^2}', '', 'where :math:`x` is the input data, :math:`M` is the sample median', '(or the input initial location guess) and :math:`u_i` is given by:', '', '.. math::', '', ' u_{i} = \\frac{(x_i - M)}{c * MAD}', '', 'where :math:`c` is the tuning constant and :math:`MAD` is the', '`median absolute deviation', '`_. The', 'biweight location tuning constant ``c`` is typically 6.0 (the', 'default).', '', ':Parameters:', '', ' **data** : array-like', '', ' Input array or object that can be converted to an array.', '', ' **c** : float, optional', '', ' Tuning constant for the biweight estimator (default = 6.0).', '', ' **M** : float or array-like, optional', '', ' Initial guess for the location. If ``M`` is a scalar value,', ' then its value will be used for the entire array (or along each', ' ``axis``, if specified). If ``M`` is an array, then its must be', ' an array containing the initial location estimate along each', ' ``axis`` of the input array. If `None` (default), then the', ' median of the input array will be used (or along each ``axis``,', ' if specified).', '', ' **axis** : int, optional', '', ' The axis along which the biweight locations are computed. If', ' `None` (default), then the biweight location of the flattened', ' input array will be computed.', '', ':Returns:', '', ' **biweight_location** : float or `~numpy.ndarray`', '', ' The biweight location of the input data. If ``axis`` is `None`', ' then a scalar will be returned, otherwise a `~numpy.ndarray`', ' will be returned.', '', '.. seealso::', '', ' ', ' :obj:`biweight_scale`, :obj:`biweight_midvariance`, :obj:`biweight_midcovariance`', ' ', '.. rubric:: References', '', '.. [R49] Beers, Flynn, and Gebhardt (1990; AJ 100, 32) (http://adsabs.harvard.edu/abs/1990AJ....100...32B)', '', '.. [R50] http://www.itl.nist.gov/div898/software/dataplot/refman2/auxillar/biwloc.htm', '', '.. only:: latex', '', ' [R49]_, [R50]_', '', '.. rubric:: Examples', '', '', 'Generate random variates from a Gaussian distribution and return the', 'biweight location of the distribution:', '', '>>> import numpy as np', '>>> from astropy.stats import biweight_location', '>>> rand = np.random.RandomState(12345)', '>>> biloc = biweight_location(rand.randn(1000))', '>>> print(biloc) # doctest: +FLOAT_CMP', '-0.0175741540445']:56: WARNING: py:obj reference target not found: None ['biweight_location(data, c=6.0, M=None, axis=None)', ':module: astropy.stats.biweight', '', '', '', 'Compute the biweight location.', '', 'The biweight location is a robust statistic for determining the', 'central location of a distribution. It is given by:', '', '.. math::', '', ' \\zeta_{biloc}= M + \\frac{\\Sigma_{|u_i|<1} \\ (x_i - M) (1 - u_i^2)^2}', ' {\\Sigma_{|u_i|<1} \\ (1 - u_i^2)^2}', '', 'where :math:`x` is the input data, :math:`M` is the sample median', '(or the input initial location guess) and :math:`u_i` is given by:', '', '.. math::', '', ' u_{i} = \\frac{(x_i - M)}{c * MAD}', '', 'where :math:`c` is the tuning constant and :math:`MAD` is the', '`median absolute deviation', '`_. The', 'biweight location tuning constant ``c`` is typically 6.0 (the', 'default).', '', ':Parameters:', '', ' **data** : array-like', '', ' Input array or object that can be converted to an array.', '', ' **c** : float, optional', '', ' Tuning constant for the biweight estimator (default = 6.0).', '', ' **M** : float or array-like, optional', '', ' Initial guess for the location. If ``M`` is a scalar value,', ' then its value will be used for the entire array (or along each', ' ``axis``, if specified). If ``M`` is an array, then its must be', ' an array containing the initial location estimate along each', ' ``axis`` of the input array. If `None` (default), then the', ' median of the input array will be used (or along each ``axis``,', ' if specified).', '', ' **axis** : int, optional', '', ' The axis along which the biweight locations are computed. If', ' `None` (default), then the biweight location of the flattened', ' input array will be computed.', '', ':Returns:', '', ' **biweight_location** : float or `~numpy.ndarray`', '', ' The biweight location of the input data. If ``axis`` is `None`', ' then a scalar will be returned, otherwise a `~numpy.ndarray`', ' will be returned.', '', '.. seealso::', '', ' ', ' :obj:`biweight_scale`, :obj:`biweight_midvariance`, :obj:`biweight_midcovariance`', ' ', '.. rubric:: References', '', '.. [R49] Beers, Flynn, and Gebhardt (1990; AJ 100, 32) (http://adsabs.harvard.edu/abs/1990AJ....100...32B)', '', '.. [R50] http://www.itl.nist.gov/div898/software/dataplot/refman2/auxillar/biwloc.htm', '', '.. only:: latex', '', ' [R49]_, [R50]_', '', '.. rubric:: Examples', '', '', 'Generate random variates from a Gaussian distribution and return the', 'biweight location of the distribution:', '', '>>> import numpy as np', '>>> from astropy.stats import biweight_location', '>>> rand = np.random.RandomState(12345)', '>>> biloc = biweight_location(rand.randn(1000))', '>>> print(biloc) # doctest: +FLOAT_CMP', '-0.0175741540445']:56: WARNING: py:obj reference target not found: numpy.ndarray ['biweight_midcorrelation(x, y, c=9.0, M=None, modify_sample_size=False)', ':module: astropy.stats.biweight', '', '', '', 'Compute the biweight midcorrelation between two variables.', '', 'The `biweight midcorrelation', '`_ is a', 'measure of similarity between samples. It is given by:', '', '.. math::', '', ' r_{bicorr} = \\frac{\\zeta_{xy}}{\\sqrt{\\zeta_{xx} \\ \\zeta_{yy}}}', '', 'where :math:`\\zeta_{xx}` is the biweight midvariance of :math:`x`,', ':math:`\\zeta_{yy}` is the biweight midvariance of :math:`y`, and', ':math:`\\zeta_{xy}` is the biweight midcovariance of :math:`x` and', ':math:`y`.', '', ':Parameters:', '', ' **x, y** : 1D array-like', '', ' Input arrays for the two variables. ``x`` and ``y`` must be 1D', ' arrays and have the same number of elements.', '', ' **c** : float, optional', '', ' Tuning constant for the biweight estimator (default = 9.0). See', ' `biweight_midcovariance` for more details.', '', ' **M** : float or array-like, optional', '', ' The location estimate. If ``M`` is a scalar value, then its', ' value will be used for the entire array (or along each ``axis``,', ' if specified). If ``M`` is an array, then its must be an array', ' containing the location estimate along each ``axis`` of the', ' input array. If `None` (default), then the median of the input', ' array will be used (or along each ``axis``, if specified). See', ' `biweight_midcovariance` for more details.', '', ' **modify_sample_size** : bool, optional', '', ' If `False` (default), then the sample size used is the total', ' number of elements in the array (or along the input ``axis``, if', ' specified), which follows the standard definition of biweight', ' midcovariance. If `True`, then the sample size is reduced to', ' correct for any rejected values (i.e. the sample size used', ' includes only the non-rejected values), which results in a value', ' closer to the true midcovariance for small sample sizes or for a', ' large number of rejected values. See `biweight_midcovariance`', ' for more details.', '', ':Returns:', '', ' **biweight_midcorrelation** : float', '', ' The biweight midcorrelation between ``x`` and ``y``.', '', '.. seealso::', '', ' ', ' :obj:`biweight_scale`, :obj:`biweight_midvariance`, :obj:`biweight_midcovariance`, :obj:`biweight_location`', ' ', '.. rubric:: References', '', '.. [R51] https://en.wikipedia.org/wiki/Biweight_midcorrelation', '', '.. only:: latex', '', ' [R51]_', '', '.. rubric:: Examples', '', '', 'Calculate the biweight midcorrelation between two variables:', '', '>>> import numpy as np', '>>> from astropy.stats import biweight_midcorrelation', '>>> rng = np.random.RandomState(12345)', '>>> x = rng.normal(0, 1, 200)', '>>> y = rng.normal(0, 3, 200)', '>>> # Introduce an obvious outlier', '>>> x[0] = 30.0', '>>> bicorr = biweight_midcorrelation(x, y)', '>>> print(bicorr) # doctest: +FLOAT_CMP', '-0.0495780713907']:32: WARNING: py:obj reference target not found: None ['biweight_midcorrelation(x, y, c=9.0, M=None, modify_sample_size=False)', ':module: astropy.stats.biweight', '', '', '', 'Compute the biweight midcorrelation between two variables.', '', 'The `biweight midcorrelation', '`_ is a', 'measure of similarity between samples. It is given by:', '', '.. math::', '', ' r_{bicorr} = \\frac{\\zeta_{xy}}{\\sqrt{\\zeta_{xx} \\ \\zeta_{yy}}}', '', 'where :math:`\\zeta_{xx}` is the biweight midvariance of :math:`x`,', ':math:`\\zeta_{yy}` is the biweight midvariance of :math:`y`, and', ':math:`\\zeta_{xy}` is the biweight midcovariance of :math:`x` and', ':math:`y`.', '', ':Parameters:', '', ' **x, y** : 1D array-like', '', ' Input arrays for the two variables. ``x`` and ``y`` must be 1D', ' arrays and have the same number of elements.', '', ' **c** : float, optional', '', ' Tuning constant for the biweight estimator (default = 9.0). See', ' `biweight_midcovariance` for more details.', '', ' **M** : float or array-like, optional', '', ' The location estimate. If ``M`` is a scalar value, then its', ' value will be used for the entire array (or along each ``axis``,', ' if specified). If ``M`` is an array, then its must be an array', ' containing the location estimate along each ``axis`` of the', ' input array. If `None` (default), then the median of the input', ' array will be used (or along each ``axis``, if specified). See', ' `biweight_midcovariance` for more details.', '', ' **modify_sample_size** : bool, optional', '', ' If `False` (default), then the sample size used is the total', ' number of elements in the array (or along the input ``axis``, if', ' specified), which follows the standard definition of biweight', ' midcovariance. If `True`, then the sample size is reduced to', ' correct for any rejected values (i.e. the sample size used', ' includes only the non-rejected values), which results in a value', ' closer to the true midcovariance for small sample sizes or for a', ' large number of rejected values. See `biweight_midcovariance`', ' for more details.', '', ':Returns:', '', ' **biweight_midcorrelation** : float', '', ' The biweight midcorrelation between ``x`` and ``y``.', '', '.. seealso::', '', ' ', ' :obj:`biweight_scale`, :obj:`biweight_midvariance`, :obj:`biweight_midcovariance`, :obj:`biweight_location`', ' ', '.. rubric:: References', '', '.. [R51] https://en.wikipedia.org/wiki/Biweight_midcorrelation', '', '.. only:: latex', '', ' [R51]_', '', '.. rubric:: Examples', '', '', 'Calculate the biweight midcorrelation between two variables:', '', '>>> import numpy as np', '>>> from astropy.stats import biweight_midcorrelation', '>>> rng = np.random.RandomState(12345)', '>>> x = rng.normal(0, 1, 200)', '>>> y = rng.normal(0, 3, 200)', '>>> # Introduce an obvious outlier', '>>> x[0] = 30.0', '>>> bicorr = biweight_midcorrelation(x, y)', '>>> print(bicorr) # doctest: +FLOAT_CMP', '-0.0495780713907']:42: WARNING: py:obj reference target not found: False ['biweight_midcorrelation(x, y, c=9.0, M=None, modify_sample_size=False)', ':module: astropy.stats.biweight', '', '', '', 'Compute the biweight midcorrelation between two variables.', '', 'The `biweight midcorrelation', '`_ is a', 'measure of similarity between samples. It is given by:', '', '.. math::', '', ' r_{bicorr} = \\frac{\\zeta_{xy}}{\\sqrt{\\zeta_{xx} \\ \\zeta_{yy}}}', '', 'where :math:`\\zeta_{xx}` is the biweight midvariance of :math:`x`,', ':math:`\\zeta_{yy}` is the biweight midvariance of :math:`y`, and', ':math:`\\zeta_{xy}` is the biweight midcovariance of :math:`x` and', ':math:`y`.', '', ':Parameters:', '', ' **x, y** : 1D array-like', '', ' Input arrays for the two variables. ``x`` and ``y`` must be 1D', ' arrays and have the same number of elements.', '', ' **c** : float, optional', '', ' Tuning constant for the biweight estimator (default = 9.0). See', ' `biweight_midcovariance` for more details.', '', ' **M** : float or array-like, optional', '', ' The location estimate. If ``M`` is a scalar value, then its', ' value will be used for the entire array (or along each ``axis``,', ' if specified). If ``M`` is an array, then its must be an array', ' containing the location estimate along each ``axis`` of the', ' input array. If `None` (default), then the median of the input', ' array will be used (or along each ``axis``, if specified). See', ' `biweight_midcovariance` for more details.', '', ' **modify_sample_size** : bool, optional', '', ' If `False` (default), then the sample size used is the total', ' number of elements in the array (or along the input ``axis``, if', ' specified), which follows the standard definition of biweight', ' midcovariance. If `True`, then the sample size is reduced to', ' correct for any rejected values (i.e. the sample size used', ' includes only the non-rejected values), which results in a value', ' closer to the true midcovariance for small sample sizes or for a', ' large number of rejected values. See `biweight_midcovariance`', ' for more details.', '', ':Returns:', '', ' **biweight_midcorrelation** : float', '', ' The biweight midcorrelation between ``x`` and ``y``.', '', '.. seealso::', '', ' ', ' :obj:`biweight_scale`, :obj:`biweight_midvariance`, :obj:`biweight_midcovariance`, :obj:`biweight_location`', ' ', '.. rubric:: References', '', '.. [R51] https://en.wikipedia.org/wiki/Biweight_midcorrelation', '', '.. only:: latex', '', ' [R51]_', '', '.. rubric:: Examples', '', '', 'Calculate the biweight midcorrelation between two variables:', '', '>>> import numpy as np', '>>> from astropy.stats import biweight_midcorrelation', '>>> rng = np.random.RandomState(12345)', '>>> x = rng.normal(0, 1, 200)', '>>> y = rng.normal(0, 3, 200)', '>>> # Introduce an obvious outlier', '>>> x[0] = 30.0', '>>> bicorr = biweight_midcorrelation(x, y)', '>>> print(bicorr) # doctest: +FLOAT_CMP', '-0.0495780713907']:42: WARNING: py:obj reference target not found: True ['biweight_midcovariance(data, c=9.0, M=None, modify_sample_size=False)', ':module: astropy.stats.biweight', '', '', '', 'Compute the biweight midcovariance between pairs of multiple', 'variables.', '', 'The biweight midcovariance is a robust and resistant estimator of', 'the covariance between two variables.', '', 'This function computes the biweight midcovariance between all pairs', 'of the input variables (rows) in the input data. The output array', 'will have a shape of (N_variables, N_variables). The diagonal', 'elements will be the biweight midvariances of each input variable', '(see :func:`biweight_midvariance`). The off-diagonal elements will', 'be the biweight midcovariances between each pair of input variables.', '', 'For example, if the input array ``data`` contains three variables', '(rows) ``x``, ``y``, and ``z``, the output `~numpy.ndarray`', 'midcovariance matrix will be:', '', '.. math::', '', ' \\begin{pmatrix}', ' \\zeta_{xx} & \\zeta_{xy} & \\zeta_{xz} \\\\', ' \\zeta_{yx} & \\zeta_{yy} & \\zeta_{yz} \\\\', ' \\zeta_{zx} & \\zeta_{zy} & \\zeta_{zz}', ' \\end{pmatrix}', '', 'where :math:`\\zeta_{xx}`, :math:`\\zeta_{yy}`, and :math:`\\zeta_{zz}`', 'are the biweight midvariances of each variable. The biweight', 'midcovariance between :math:`x` and :math:`y` is :math:`\\zeta_{xy}`', '(:math:`= \\zeta_{yx}`). The biweight midcovariance between', ':math:`x` and :math:`z` is :math:`\\zeta_{xz}` (:math:`=', '\\zeta_{zx}`). The biweight midcovariance between :math:`y` and', ':math:`z` is :math:`\\zeta_{yz}` (:math:`= \\zeta_{zy}`).', '', 'The biweight midcovariance between two variables :math:`x` and', ':math:`y` is given by:', '', '.. math::', '', ' \\zeta_{xy} = n \\ \\frac{\\Sigma_{|u_i| < 1, \\ |v_i| < 1} \\', ' (x_i - M_x) (1 - u_i^2)^2 (y_i - M_y) (1 - v_i^2)^2}', ' {(\\Sigma_{|u_i| < 1} \\ (1 - u_i^2) (1 - 5u_i^2))', ' (\\Sigma_{|v_i| < 1} \\ (1 - v_i^2) (1 - 5v_i^2))}', '', 'where :math:`M_x` and :math:`M_y` are the medians (or the input', 'locations) of the two variables and :math:`u_i` and :math:`v_i` are', 'given by:', '', '.. math::', '', ' u_{i} = \\frac{(x_i - M_x)}{c * MAD_x}', '', ' v_{i} = \\frac{(y_i - M_y)}{c * MAD_y}', '', 'where :math:`c` is the biweight tuning constant and :math:`MAD_x`', 'and :math:`MAD_y` are the `median absolute deviation', '`_ of the', ':math:`x` and :math:`y` variables. The biweight midvariance tuning', 'constant ``c`` is typically 9.0 (the default).', '', 'For the standard definition of biweight midcovariance :math:`n` is', 'the total number of observations of each variable. That definition', 'is used if ``modify_sample_size`` is `False`, which is the default.', '', 'However, if ``modify_sample_size = True``, then :math:`n` is the', 'number of observations for which :math:`|u_i| < 1` and :math:`|v_i|', '< 1`, i.e.', '', '.. math::', '', ' n = \\Sigma_{|u_i| < 1, \\ |v_i| < 1} \\ 1', '', 'which results in a value closer to the true variance for small', 'sample sizes or for a large number of rejected values.', '', ':Parameters:', '', ' **data** : 2D or 1D array-like', '', ' Input data either as a 2D or 1D array. For a 2D array, it', ' should have a shape (N_variables, N_observations). A 1D array', ' may be input for observations of a single variable, in which', ' case the biweight midvariance will be calculated (no', ' covariance). Each row of ``data`` represents a variable, and', ' each column a single observation of all those variables (same as', ' the `numpy.cov` convention).', ' ', '', ' **c** : float, optional', '', ' Tuning constant for the biweight estimator (default = 9.0).', ' ', '', ' **M** : float or 1D array-like, optional', '', ' The location estimate of each variable, either as a scalar or', ' array. If ``M`` is an array, then its must be a 1D array', ' containing the location estimate of each row (i.e. ``a.ndim``', ' elements). If ``M`` is a scalar value, then its value will be', ' used for each variable (row). If `None` (default), then the', ' median of each variable (row) will be used.', ' ', '', ' **modify_sample_size** : bool, optional', '', ' If `False` (default), then the sample size used is the total', ' number of observations of each variable, which follows the', ' standard definition of biweight midcovariance. If `True`, then', ' the sample size is reduced to correct for any rejected values', ' (see formula above), which results in a value closer to the true', ' covariance for small sample sizes or for a large number of', ' rejected values.', '', ':Returns:', '', ' **biweight_midcovariance** : `~numpy.ndarray`', '', ' A 2D array representing the biweight midcovariances between each', ' pair of the variables (rows) in the input array. The output', ' array will have a shape of (N_variables, N_variables). The', ' diagonal elements will be the biweight midvariances of each', ' input variable. The off-diagonal elements will be the biweight', ' midcovariances between each pair of input variables.', '', '.. seealso::', '', ' ', ' :obj:`biweight_midvariance`, :obj:`biweight_midcorrelation`, :obj:`biweight_scale`, :obj:`biweight_location`', ' ', '.. rubric:: References', '', '.. [R52] http://www.itl.nist.gov/div898/software/dataplot/refman2/auxillar/biwmidc.htm', '', '.. only:: latex', '', ' [R52]_', '', '.. rubric:: Examples', '', '', 'Compute the biweight midcovariance between two random variables:', '', '>>> import numpy as np', '>>> from astropy.stats import biweight_midcovariance', '>>> # Generate two random variables x and y', '>>> rng = np.random.RandomState(1)', '>>> x = rng.normal(0, 1, 200)', '>>> y = rng.normal(0, 3, 200)', '>>> # Introduce an obvious outlier', '>>> x[0] = 30.0', '>>> # Calculate the biweight midcovariances between x and y', '>>> bicov = biweight_midcovariance([x, y])', '>>> print(bicov) # doctest: +FLOAT_CMP', '[[ 0.82483155 -0.18961219]', ' [-0.18961219 9.80265764]]', '>>> # Print standard deviation estimates', '>>> print(np.sqrt(bicov.diagonal())) # doctest: +FLOAT_CMP', '[ 0.90820237 3.13091961]']:16: WARNING: py:obj reference target not found: numpy.ndarray ['biweight_midcovariance(data, c=9.0, M=None, modify_sample_size=False)', ':module: astropy.stats.biweight', '', '', '', 'Compute the biweight midcovariance between pairs of multiple', 'variables.', '', 'The biweight midcovariance is a robust and resistant estimator of', 'the covariance between two variables.', '', 'This function computes the biweight midcovariance between all pairs', 'of the input variables (rows) in the input data. The output array', 'will have a shape of (N_variables, N_variables). The diagonal', 'elements will be the biweight midvariances of each input variable', '(see :func:`biweight_midvariance`). The off-diagonal elements will', 'be the biweight midcovariances between each pair of input variables.', '', 'For example, if the input array ``data`` contains three variables', '(rows) ``x``, ``y``, and ``z``, the output `~numpy.ndarray`', 'midcovariance matrix will be:', '', '.. math::', '', ' \\begin{pmatrix}', ' \\zeta_{xx} & \\zeta_{xy} & \\zeta_{xz} \\\\', ' \\zeta_{yx} & \\zeta_{yy} & \\zeta_{yz} \\\\', ' \\zeta_{zx} & \\zeta_{zy} & \\zeta_{zz}', ' \\end{pmatrix}', '', 'where :math:`\\zeta_{xx}`, :math:`\\zeta_{yy}`, and :math:`\\zeta_{zz}`', 'are the biweight midvariances of each variable. The biweight', 'midcovariance between :math:`x` and :math:`y` is :math:`\\zeta_{xy}`', '(:math:`= \\zeta_{yx}`). The biweight midcovariance between', ':math:`x` and :math:`z` is :math:`\\zeta_{xz}` (:math:`=', '\\zeta_{zx}`). The biweight midcovariance between :math:`y` and', ':math:`z` is :math:`\\zeta_{yz}` (:math:`= \\zeta_{zy}`).', '', 'The biweight midcovariance between two variables :math:`x` and', ':math:`y` is given by:', '', '.. math::', '', ' \\zeta_{xy} = n \\ \\frac{\\Sigma_{|u_i| < 1, \\ |v_i| < 1} \\', ' (x_i - M_x) (1 - u_i^2)^2 (y_i - M_y) (1 - v_i^2)^2}', ' {(\\Sigma_{|u_i| < 1} \\ (1 - u_i^2) (1 - 5u_i^2))', ' (\\Sigma_{|v_i| < 1} \\ (1 - v_i^2) (1 - 5v_i^2))}', '', 'where :math:`M_x` and :math:`M_y` are the medians (or the input', 'locations) of the two variables and :math:`u_i` and :math:`v_i` are', 'given by:', '', '.. math::', '', ' u_{i} = \\frac{(x_i - M_x)}{c * MAD_x}', '', ' v_{i} = \\frac{(y_i - M_y)}{c * MAD_y}', '', 'where :math:`c` is the biweight tuning constant and :math:`MAD_x`', 'and :math:`MAD_y` are the `median absolute deviation', '`_ of the', ':math:`x` and :math:`y` variables. The biweight midvariance tuning', 'constant ``c`` is typically 9.0 (the default).', '', 'For the standard definition of biweight midcovariance :math:`n` is', 'the total number of observations of each variable. That definition', 'is used if ``modify_sample_size`` is `False`, which is the default.', '', 'However, if ``modify_sample_size = True``, then :math:`n` is the', 'number of observations for which :math:`|u_i| < 1` and :math:`|v_i|', '< 1`, i.e.', '', '.. math::', '', ' n = \\Sigma_{|u_i| < 1, \\ |v_i| < 1} \\ 1', '', 'which results in a value closer to the true variance for small', 'sample sizes or for a large number of rejected values.', '', ':Parameters:', '', ' **data** : 2D or 1D array-like', '', ' Input data either as a 2D or 1D array. For a 2D array, it', ' should have a shape (N_variables, N_observations). A 1D array', ' may be input for observations of a single variable, in which', ' case the biweight midvariance will be calculated (no', ' covariance). Each row of ``data`` represents a variable, and', ' each column a single observation of all those variables (same as', ' the `numpy.cov` convention).', ' ', '', ' **c** : float, optional', '', ' Tuning constant for the biweight estimator (default = 9.0).', ' ', '', ' **M** : float or 1D array-like, optional', '', ' The location estimate of each variable, either as a scalar or', ' array. If ``M`` is an array, then its must be a 1D array', ' containing the location estimate of each row (i.e. ``a.ndim``', ' elements). If ``M`` is a scalar value, then its value will be', ' used for each variable (row). If `None` (default), then the', ' median of each variable (row) will be used.', ' ', '', ' **modify_sample_size** : bool, optional', '', ' If `False` (default), then the sample size used is the total', ' number of observations of each variable, which follows the', ' standard definition of biweight midcovariance. If `True`, then', ' the sample size is reduced to correct for any rejected values', ' (see formula above), which results in a value closer to the true', ' covariance for small sample sizes or for a large number of', ' rejected values.', '', ':Returns:', '', ' **biweight_midcovariance** : `~numpy.ndarray`', '', ' A 2D array representing the biweight midcovariances between each', ' pair of the variables (rows) in the input array. The output', ' array will have a shape of (N_variables, N_variables). The', ' diagonal elements will be the biweight midvariances of each', ' input variable. The off-diagonal elements will be the biweight', ' midcovariances between each pair of input variables.', '', '.. seealso::', '', ' ', ' :obj:`biweight_midvariance`, :obj:`biweight_midcorrelation`, :obj:`biweight_scale`, :obj:`biweight_location`', ' ', '.. rubric:: References', '', '.. [R52] http://www.itl.nist.gov/div898/software/dataplot/refman2/auxillar/biwmidc.htm', '', '.. only:: latex', '', ' [R52]_', '', '.. rubric:: Examples', '', '', 'Compute the biweight midcovariance between two random variables:', '', '>>> import numpy as np', '>>> from astropy.stats import biweight_midcovariance', '>>> # Generate two random variables x and y', '>>> rng = np.random.RandomState(1)', '>>> x = rng.normal(0, 1, 200)', '>>> y = rng.normal(0, 3, 200)', '>>> # Introduce an obvious outlier', '>>> x[0] = 30.0', '>>> # Calculate the biweight midcovariances between x and y', '>>> bicov = biweight_midcovariance([x, y])', '>>> print(bicov) # doctest: +FLOAT_CMP', '[[ 0.82483155 -0.18961219]', ' [-0.18961219 9.80265764]]', '>>> # Print standard deviation estimates', '>>> print(np.sqrt(bicov.diagonal())) # doctest: +FLOAT_CMP', '[ 0.90820237 3.13091961]']:62: WARNING: py:obj reference target not found: False ['biweight_midcovariance(data, c=9.0, M=None, modify_sample_size=False)', ':module: astropy.stats.biweight', '', '', '', 'Compute the biweight midcovariance between pairs of multiple', 'variables.', '', 'The biweight midcovariance is a robust and resistant estimator of', 'the covariance between two variables.', '', 'This function computes the biweight midcovariance between all pairs', 'of the input variables (rows) in the input data. The output array', 'will have a shape of (N_variables, N_variables). The diagonal', 'elements will be the biweight midvariances of each input variable', '(see :func:`biweight_midvariance`). The off-diagonal elements will', 'be the biweight midcovariances between each pair of input variables.', '', 'For example, if the input array ``data`` contains three variables', '(rows) ``x``, ``y``, and ``z``, the output `~numpy.ndarray`', 'midcovariance matrix will be:', '', '.. math::', '', ' \\begin{pmatrix}', ' \\zeta_{xx} & \\zeta_{xy} & \\zeta_{xz} \\\\', ' \\zeta_{yx} & \\zeta_{yy} & \\zeta_{yz} \\\\', ' \\zeta_{zx} & \\zeta_{zy} & \\zeta_{zz}', ' \\end{pmatrix}', '', 'where :math:`\\zeta_{xx}`, :math:`\\zeta_{yy}`, and :math:`\\zeta_{zz}`', 'are the biweight midvariances of each variable. The biweight', 'midcovariance between :math:`x` and :math:`y` is :math:`\\zeta_{xy}`', '(:math:`= \\zeta_{yx}`). The biweight midcovariance between', ':math:`x` and :math:`z` is :math:`\\zeta_{xz}` (:math:`=', '\\zeta_{zx}`). The biweight midcovariance between :math:`y` and', ':math:`z` is :math:`\\zeta_{yz}` (:math:`= \\zeta_{zy}`).', '', 'The biweight midcovariance between two variables :math:`x` and', ':math:`y` is given by:', '', '.. math::', '', ' \\zeta_{xy} = n \\ \\frac{\\Sigma_{|u_i| < 1, \\ |v_i| < 1} \\', ' (x_i - M_x) (1 - u_i^2)^2 (y_i - M_y) (1 - v_i^2)^2}', ' {(\\Sigma_{|u_i| < 1} \\ (1 - u_i^2) (1 - 5u_i^2))', ' (\\Sigma_{|v_i| < 1} \\ (1 - v_i^2) (1 - 5v_i^2))}', '', 'where :math:`M_x` and :math:`M_y` are the medians (or the input', 'locations) of the two variables and :math:`u_i` and :math:`v_i` are', 'given by:', '', '.. math::', '', ' u_{i} = \\frac{(x_i - M_x)}{c * MAD_x}', '', ' v_{i} = \\frac{(y_i - M_y)}{c * MAD_y}', '', 'where :math:`c` is the biweight tuning constant and :math:`MAD_x`', 'and :math:`MAD_y` are the `median absolute deviation', '`_ of the', ':math:`x` and :math:`y` variables. The biweight midvariance tuning', 'constant ``c`` is typically 9.0 (the default).', '', 'For the standard definition of biweight midcovariance :math:`n` is', 'the total number of observations of each variable. That definition', 'is used if ``modify_sample_size`` is `False`, which is the default.', '', 'However, if ``modify_sample_size = True``, then :math:`n` is the', 'number of observations for which :math:`|u_i| < 1` and :math:`|v_i|', '< 1`, i.e.', '', '.. math::', '', ' n = \\Sigma_{|u_i| < 1, \\ |v_i| < 1} \\ 1', '', 'which results in a value closer to the true variance for small', 'sample sizes or for a large number of rejected values.', '', ':Parameters:', '', ' **data** : 2D or 1D array-like', '', ' Input data either as a 2D or 1D array. For a 2D array, it', ' should have a shape (N_variables, N_observations). A 1D array', ' may be input for observations of a single variable, in which', ' case the biweight midvariance will be calculated (no', ' covariance). Each row of ``data`` represents a variable, and', ' each column a single observation of all those variables (same as', ' the `numpy.cov` convention).', ' ', '', ' **c** : float, optional', '', ' Tuning constant for the biweight estimator (default = 9.0).', ' ', '', ' **M** : float or 1D array-like, optional', '', ' The location estimate of each variable, either as a scalar or', ' array. If ``M`` is an array, then its must be a 1D array', ' containing the location estimate of each row (i.e. ``a.ndim``', ' elements). If ``M`` is a scalar value, then its value will be', ' used for each variable (row). If `None` (default), then the', ' median of each variable (row) will be used.', ' ', '', ' **modify_sample_size** : bool, optional', '', ' If `False` (default), then the sample size used is the total', ' number of observations of each variable, which follows the', ' standard definition of biweight midcovariance. If `True`, then', ' the sample size is reduced to correct for any rejected values', ' (see formula above), which results in a value closer to the true', ' covariance for small sample sizes or for a large number of', ' rejected values.', '', ':Returns:', '', ' **biweight_midcovariance** : `~numpy.ndarray`', '', ' A 2D array representing the biweight midcovariances between each', ' pair of the variables (rows) in the input array. The output', ' array will have a shape of (N_variables, N_variables). The', ' diagonal elements will be the biweight midvariances of each', ' input variable. The off-diagonal elements will be the biweight', ' midcovariances between each pair of input variables.', '', '.. seealso::', '', ' ', ' :obj:`biweight_midvariance`, :obj:`biweight_midcorrelation`, :obj:`biweight_scale`, :obj:`biweight_location`', ' ', '.. rubric:: References', '', '.. [R52] http://www.itl.nist.gov/div898/software/dataplot/refman2/auxillar/biwmidc.htm', '', '.. only:: latex', '', ' [R52]_', '', '.. rubric:: Examples', '', '', 'Compute the biweight midcovariance between two random variables:', '', '>>> import numpy as np', '>>> from astropy.stats import biweight_midcovariance', '>>> # Generate two random variables x and y', '>>> rng = np.random.RandomState(1)', '>>> x = rng.normal(0, 1, 200)', '>>> y = rng.normal(0, 3, 200)', '>>> # Introduce an obvious outlier', '>>> x[0] = 30.0', '>>> # Calculate the biweight midcovariances between x and y', '>>> bicov = biweight_midcovariance([x, y])', '>>> print(bicov) # doctest: +FLOAT_CMP', '[[ 0.82483155 -0.18961219]', ' [-0.18961219 9.80265764]]', '>>> # Print standard deviation estimates', '>>> print(np.sqrt(bicov.diagonal())) # doctest: +FLOAT_CMP', '[ 0.90820237 3.13091961]']:81: WARNING: py:obj reference target not found: numpy.cov ['biweight_midcovariance(data, c=9.0, M=None, modify_sample_size=False)', ':module: astropy.stats.biweight', '', '', '', 'Compute the biweight midcovariance between pairs of multiple', 'variables.', '', 'The biweight midcovariance is a robust and resistant estimator of', 'the covariance between two variables.', '', 'This function computes the biweight midcovariance between all pairs', 'of the input variables (rows) in the input data. The output array', 'will have a shape of (N_variables, N_variables). The diagonal', 'elements will be the biweight midvariances of each input variable', '(see :func:`biweight_midvariance`). The off-diagonal elements will', 'be the biweight midcovariances between each pair of input variables.', '', 'For example, if the input array ``data`` contains three variables', '(rows) ``x``, ``y``, and ``z``, the output `~numpy.ndarray`', 'midcovariance matrix will be:', '', '.. math::', '', ' \\begin{pmatrix}', ' \\zeta_{xx} & \\zeta_{xy} & \\zeta_{xz} \\\\', ' \\zeta_{yx} & \\zeta_{yy} & \\zeta_{yz} \\\\', ' \\zeta_{zx} & \\zeta_{zy} & \\zeta_{zz}', ' \\end{pmatrix}', '', 'where :math:`\\zeta_{xx}`, :math:`\\zeta_{yy}`, and :math:`\\zeta_{zz}`', 'are the biweight midvariances of each variable. The biweight', 'midcovariance between :math:`x` and :math:`y` is :math:`\\zeta_{xy}`', '(:math:`= \\zeta_{yx}`). The biweight midcovariance between', ':math:`x` and :math:`z` is :math:`\\zeta_{xz}` (:math:`=', '\\zeta_{zx}`). The biweight midcovariance between :math:`y` and', ':math:`z` is :math:`\\zeta_{yz}` (:math:`= \\zeta_{zy}`).', '', 'The biweight midcovariance between two variables :math:`x` and', ':math:`y` is given by:', '', '.. math::', '', ' \\zeta_{xy} = n \\ \\frac{\\Sigma_{|u_i| < 1, \\ |v_i| < 1} \\', ' (x_i - M_x) (1 - u_i^2)^2 (y_i - M_y) (1 - v_i^2)^2}', ' {(\\Sigma_{|u_i| < 1} \\ (1 - u_i^2) (1 - 5u_i^2))', ' (\\Sigma_{|v_i| < 1} \\ (1 - v_i^2) (1 - 5v_i^2))}', '', 'where :math:`M_x` and :math:`M_y` are the medians (or the input', 'locations) of the two variables and :math:`u_i` and :math:`v_i` are', 'given by:', '', '.. math::', '', ' u_{i} = \\frac{(x_i - M_x)}{c * MAD_x}', '', ' v_{i} = \\frac{(y_i - M_y)}{c * MAD_y}', '', 'where :math:`c` is the biweight tuning constant and :math:`MAD_x`', 'and :math:`MAD_y` are the `median absolute deviation', '`_ of the', ':math:`x` and :math:`y` variables. The biweight midvariance tuning', 'constant ``c`` is typically 9.0 (the default).', '', 'For the standard definition of biweight midcovariance :math:`n` is', 'the total number of observations of each variable. That definition', 'is used if ``modify_sample_size`` is `False`, which is the default.', '', 'However, if ``modify_sample_size = True``, then :math:`n` is the', 'number of observations for which :math:`|u_i| < 1` and :math:`|v_i|', '< 1`, i.e.', '', '.. math::', '', ' n = \\Sigma_{|u_i| < 1, \\ |v_i| < 1} \\ 1', '', 'which results in a value closer to the true variance for small', 'sample sizes or for a large number of rejected values.', '', ':Parameters:', '', ' **data** : 2D or 1D array-like', '', ' Input data either as a 2D or 1D array. For a 2D array, it', ' should have a shape (N_variables, N_observations). A 1D array', ' may be input for observations of a single variable, in which', ' case the biweight midvariance will be calculated (no', ' covariance). Each row of ``data`` represents a variable, and', ' each column a single observation of all those variables (same as', ' the `numpy.cov` convention).', ' ', '', ' **c** : float, optional', '', ' Tuning constant for the biweight estimator (default = 9.0).', ' ', '', ' **M** : float or 1D array-like, optional', '', ' The location estimate of each variable, either as a scalar or', ' array. If ``M`` is an array, then its must be a 1D array', ' containing the location estimate of each row (i.e. ``a.ndim``', ' elements). If ``M`` is a scalar value, then its value will be', ' used for each variable (row). If `None` (default), then the', ' median of each variable (row) will be used.', ' ', '', ' **modify_sample_size** : bool, optional', '', ' If `False` (default), then the sample size used is the total', ' number of observations of each variable, which follows the', ' standard definition of biweight midcovariance. If `True`, then', ' the sample size is reduced to correct for any rejected values', ' (see formula above), which results in a value closer to the true', ' covariance for small sample sizes or for a large number of', ' rejected values.', '', ':Returns:', '', ' **biweight_midcovariance** : `~numpy.ndarray`', '', ' A 2D array representing the biweight midcovariances between each', ' pair of the variables (rows) in the input array. The output', ' array will have a shape of (N_variables, N_variables). The', ' diagonal elements will be the biweight midvariances of each', ' input variable. The off-diagonal elements will be the biweight', ' midcovariances between each pair of input variables.', '', '.. seealso::', '', ' ', ' :obj:`biweight_midvariance`, :obj:`biweight_midcorrelation`, :obj:`biweight_scale`, :obj:`biweight_location`', ' ', '.. rubric:: References', '', '.. [R52] http://www.itl.nist.gov/div898/software/dataplot/refman2/auxillar/biwmidc.htm', '', '.. only:: latex', '', ' [R52]_', '', '.. rubric:: Examples', '', '', 'Compute the biweight midcovariance between two random variables:', '', '>>> import numpy as np', '>>> from astropy.stats import biweight_midcovariance', '>>> # Generate two random variables x and y', '>>> rng = np.random.RandomState(1)', '>>> x = rng.normal(0, 1, 200)', '>>> y = rng.normal(0, 3, 200)', '>>> # Introduce an obvious outlier', '>>> x[0] = 30.0', '>>> # Calculate the biweight midcovariances between x and y', '>>> bicov = biweight_midcovariance([x, y])', '>>> print(bicov) # doctest: +FLOAT_CMP', '[[ 0.82483155 -0.18961219]', ' [-0.18961219 9.80265764]]', '>>> # Print standard deviation estimates', '>>> print(np.sqrt(bicov.diagonal())) # doctest: +FLOAT_CMP', '[ 0.90820237 3.13091961]']:95: WARNING: py:obj reference target not found: None ['biweight_midcovariance(data, c=9.0, M=None, modify_sample_size=False)', ':module: astropy.stats.biweight', '', '', '', 'Compute the biweight midcovariance between pairs of multiple', 'variables.', '', 'The biweight midcovariance is a robust and resistant estimator of', 'the covariance between two variables.', '', 'This function computes the biweight midcovariance between all pairs', 'of the input variables (rows) in the input data. The output array', 'will have a shape of (N_variables, N_variables). The diagonal', 'elements will be the biweight midvariances of each input variable', '(see :func:`biweight_midvariance`). The off-diagonal elements will', 'be the biweight midcovariances between each pair of input variables.', '', 'For example, if the input array ``data`` contains three variables', '(rows) ``x``, ``y``, and ``z``, the output `~numpy.ndarray`', 'midcovariance matrix will be:', '', '.. math::', '', ' \\begin{pmatrix}', ' \\zeta_{xx} & \\zeta_{xy} & \\zeta_{xz} \\\\', ' \\zeta_{yx} & \\zeta_{yy} & \\zeta_{yz} \\\\', ' \\zeta_{zx} & \\zeta_{zy} & \\zeta_{zz}', ' \\end{pmatrix}', '', 'where :math:`\\zeta_{xx}`, :math:`\\zeta_{yy}`, and :math:`\\zeta_{zz}`', 'are the biweight midvariances of each variable. The biweight', 'midcovariance between :math:`x` and :math:`y` is :math:`\\zeta_{xy}`', '(:math:`= \\zeta_{yx}`). The biweight midcovariance between', ':math:`x` and :math:`z` is :math:`\\zeta_{xz}` (:math:`=', '\\zeta_{zx}`). The biweight midcovariance between :math:`y` and', ':math:`z` is :math:`\\zeta_{yz}` (:math:`= \\zeta_{zy}`).', '', 'The biweight midcovariance between two variables :math:`x` and', ':math:`y` is given by:', '', '.. math::', '', ' \\zeta_{xy} = n \\ \\frac{\\Sigma_{|u_i| < 1, \\ |v_i| < 1} \\', ' (x_i - M_x) (1 - u_i^2)^2 (y_i - M_y) (1 - v_i^2)^2}', ' {(\\Sigma_{|u_i| < 1} \\ (1 - u_i^2) (1 - 5u_i^2))', ' (\\Sigma_{|v_i| < 1} \\ (1 - v_i^2) (1 - 5v_i^2))}', '', 'where :math:`M_x` and :math:`M_y` are the medians (or the input', 'locations) of the two variables and :math:`u_i` and :math:`v_i` are', 'given by:', '', '.. math::', '', ' u_{i} = \\frac{(x_i - M_x)}{c * MAD_x}', '', ' v_{i} = \\frac{(y_i - M_y)}{c * MAD_y}', '', 'where :math:`c` is the biweight tuning constant and :math:`MAD_x`', 'and :math:`MAD_y` are the `median absolute deviation', '`_ of the', ':math:`x` and :math:`y` variables. The biweight midvariance tuning', 'constant ``c`` is typically 9.0 (the default).', '', 'For the standard definition of biweight midcovariance :math:`n` is', 'the total number of observations of each variable. That definition', 'is used if ``modify_sample_size`` is `False`, which is the default.', '', 'However, if ``modify_sample_size = True``, then :math:`n` is the', 'number of observations for which :math:`|u_i| < 1` and :math:`|v_i|', '< 1`, i.e.', '', '.. math::', '', ' n = \\Sigma_{|u_i| < 1, \\ |v_i| < 1} \\ 1', '', 'which results in a value closer to the true variance for small', 'sample sizes or for a large number of rejected values.', '', ':Parameters:', '', ' **data** : 2D or 1D array-like', '', ' Input data either as a 2D or 1D array. For a 2D array, it', ' should have a shape (N_variables, N_observations). A 1D array', ' may be input for observations of a single variable, in which', ' case the biweight midvariance will be calculated (no', ' covariance). Each row of ``data`` represents a variable, and', ' each column a single observation of all those variables (same as', ' the `numpy.cov` convention).', ' ', '', ' **c** : float, optional', '', ' Tuning constant for the biweight estimator (default = 9.0).', ' ', '', ' **M** : float or 1D array-like, optional', '', ' The location estimate of each variable, either as a scalar or', ' array. If ``M`` is an array, then its must be a 1D array', ' containing the location estimate of each row (i.e. ``a.ndim``', ' elements). If ``M`` is a scalar value, then its value will be', ' used for each variable (row). If `None` (default), then the', ' median of each variable (row) will be used.', ' ', '', ' **modify_sample_size** : bool, optional', '', ' If `False` (default), then the sample size used is the total', ' number of observations of each variable, which follows the', ' standard definition of biweight midcovariance. If `True`, then', ' the sample size is reduced to correct for any rejected values', ' (see formula above), which results in a value closer to the true', ' covariance for small sample sizes or for a large number of', ' rejected values.', '', ':Returns:', '', ' **biweight_midcovariance** : `~numpy.ndarray`', '', ' A 2D array representing the biweight midcovariances between each', ' pair of the variables (rows) in the input array. The output', ' array will have a shape of (N_variables, N_variables). The', ' diagonal elements will be the biweight midvariances of each', ' input variable. The off-diagonal elements will be the biweight', ' midcovariances between each pair of input variables.', '', '.. seealso::', '', ' ', ' :obj:`biweight_midvariance`, :obj:`biweight_midcorrelation`, :obj:`biweight_scale`, :obj:`biweight_location`', ' ', '.. rubric:: References', '', '.. [R52] http://www.itl.nist.gov/div898/software/dataplot/refman2/auxillar/biwmidc.htm', '', '.. only:: latex', '', ' [R52]_', '', '.. rubric:: Examples', '', '', 'Compute the biweight midcovariance between two random variables:', '', '>>> import numpy as np', '>>> from astropy.stats import biweight_midcovariance', '>>> # Generate two random variables x and y', '>>> rng = np.random.RandomState(1)', '>>> x = rng.normal(0, 1, 200)', '>>> y = rng.normal(0, 3, 200)', '>>> # Introduce an obvious outlier', '>>> x[0] = 30.0', '>>> # Calculate the biweight midcovariances between x and y', '>>> bicov = biweight_midcovariance([x, y])', '>>> print(bicov) # doctest: +FLOAT_CMP', '[[ 0.82483155 -0.18961219]', ' [-0.18961219 9.80265764]]', '>>> # Print standard deviation estimates', '>>> print(np.sqrt(bicov.diagonal())) # doctest: +FLOAT_CMP', '[ 0.90820237 3.13091961]']:104: WARNING: py:obj reference target not found: False ['biweight_midcovariance(data, c=9.0, M=None, modify_sample_size=False)', ':module: astropy.stats.biweight', '', '', '', 'Compute the biweight midcovariance between pairs of multiple', 'variables.', '', 'The biweight midcovariance is a robust and resistant estimator of', 'the covariance between two variables.', '', 'This function computes the biweight midcovariance between all pairs', 'of the input variables (rows) in the input data. The output array', 'will have a shape of (N_variables, N_variables). The diagonal', 'elements will be the biweight midvariances of each input variable', '(see :func:`biweight_midvariance`). The off-diagonal elements will', 'be the biweight midcovariances between each pair of input variables.', '', 'For example, if the input array ``data`` contains three variables', '(rows) ``x``, ``y``, and ``z``, the output `~numpy.ndarray`', 'midcovariance matrix will be:', '', '.. math::', '', ' \\begin{pmatrix}', ' \\zeta_{xx} & \\zeta_{xy} & \\zeta_{xz} \\\\', ' \\zeta_{yx} & \\zeta_{yy} & \\zeta_{yz} \\\\', ' \\zeta_{zx} & \\zeta_{zy} & \\zeta_{zz}', ' \\end{pmatrix}', '', 'where :math:`\\zeta_{xx}`, :math:`\\zeta_{yy}`, and :math:`\\zeta_{zz}`', 'are the biweight midvariances of each variable. The biweight', 'midcovariance between :math:`x` and :math:`y` is :math:`\\zeta_{xy}`', '(:math:`= \\zeta_{yx}`). The biweight midcovariance between', ':math:`x` and :math:`z` is :math:`\\zeta_{xz}` (:math:`=', '\\zeta_{zx}`). The biweight midcovariance between :math:`y` and', ':math:`z` is :math:`\\zeta_{yz}` (:math:`= \\zeta_{zy}`).', '', 'The biweight midcovariance between two variables :math:`x` and', ':math:`y` is given by:', '', '.. math::', '', ' \\zeta_{xy} = n \\ \\frac{\\Sigma_{|u_i| < 1, \\ |v_i| < 1} \\', ' (x_i - M_x) (1 - u_i^2)^2 (y_i - M_y) (1 - v_i^2)^2}', ' {(\\Sigma_{|u_i| < 1} \\ (1 - u_i^2) (1 - 5u_i^2))', ' (\\Sigma_{|v_i| < 1} \\ (1 - v_i^2) (1 - 5v_i^2))}', '', 'where :math:`M_x` and :math:`M_y` are the medians (or the input', 'locations) of the two variables and :math:`u_i` and :math:`v_i` are', 'given by:', '', '.. math::', '', ' u_{i} = \\frac{(x_i - M_x)}{c * MAD_x}', '', ' v_{i} = \\frac{(y_i - M_y)}{c * MAD_y}', '', 'where :math:`c` is the biweight tuning constant and :math:`MAD_x`', 'and :math:`MAD_y` are the `median absolute deviation', '`_ of the', ':math:`x` and :math:`y` variables. The biweight midvariance tuning', 'constant ``c`` is typically 9.0 (the default).', '', 'For the standard definition of biweight midcovariance :math:`n` is', 'the total number of observations of each variable. That definition', 'is used if ``modify_sample_size`` is `False`, which is the default.', '', 'However, if ``modify_sample_size = True``, then :math:`n` is the', 'number of observations for which :math:`|u_i| < 1` and :math:`|v_i|', '< 1`, i.e.', '', '.. math::', '', ' n = \\Sigma_{|u_i| < 1, \\ |v_i| < 1} \\ 1', '', 'which results in a value closer to the true variance for small', 'sample sizes or for a large number of rejected values.', '', ':Parameters:', '', ' **data** : 2D or 1D array-like', '', ' Input data either as a 2D or 1D array. For a 2D array, it', ' should have a shape (N_variables, N_observations). A 1D array', ' may be input for observations of a single variable, in which', ' case the biweight midvariance will be calculated (no', ' covariance). Each row of ``data`` represents a variable, and', ' each column a single observation of all those variables (same as', ' the `numpy.cov` convention).', ' ', '', ' **c** : float, optional', '', ' Tuning constant for the biweight estimator (default = 9.0).', ' ', '', ' **M** : float or 1D array-like, optional', '', ' The location estimate of each variable, either as a scalar or', ' array. If ``M`` is an array, then its must be a 1D array', ' containing the location estimate of each row (i.e. ``a.ndim``', ' elements). If ``M`` is a scalar value, then its value will be', ' used for each variable (row). If `None` (default), then the', ' median of each variable (row) will be used.', ' ', '', ' **modify_sample_size** : bool, optional', '', ' If `False` (default), then the sample size used is the total', ' number of observations of each variable, which follows the', ' standard definition of biweight midcovariance. If `True`, then', ' the sample size is reduced to correct for any rejected values', ' (see formula above), which results in a value closer to the true', ' covariance for small sample sizes or for a large number of', ' rejected values.', '', ':Returns:', '', ' **biweight_midcovariance** : `~numpy.ndarray`', '', ' A 2D array representing the biweight midcovariances between each', ' pair of the variables (rows) in the input array. The output', ' array will have a shape of (N_variables, N_variables). The', ' diagonal elements will be the biweight midvariances of each', ' input variable. The off-diagonal elements will be the biweight', ' midcovariances between each pair of input variables.', '', '.. seealso::', '', ' ', ' :obj:`biweight_midvariance`, :obj:`biweight_midcorrelation`, :obj:`biweight_scale`, :obj:`biweight_location`', ' ', '.. rubric:: References', '', '.. [R52] http://www.itl.nist.gov/div898/software/dataplot/refman2/auxillar/biwmidc.htm', '', '.. only:: latex', '', ' [R52]_', '', '.. rubric:: Examples', '', '', 'Compute the biweight midcovariance between two random variables:', '', '>>> import numpy as np', '>>> from astropy.stats import biweight_midcovariance', '>>> # Generate two random variables x and y', '>>> rng = np.random.RandomState(1)', '>>> x = rng.normal(0, 1, 200)', '>>> y = rng.normal(0, 3, 200)', '>>> # Introduce an obvious outlier', '>>> x[0] = 30.0', '>>> # Calculate the biweight midcovariances between x and y', '>>> bicov = biweight_midcovariance([x, y])', '>>> print(bicov) # doctest: +FLOAT_CMP', '[[ 0.82483155 -0.18961219]', ' [-0.18961219 9.80265764]]', '>>> # Print standard deviation estimates', '>>> print(np.sqrt(bicov.diagonal())) # doctest: +FLOAT_CMP', '[ 0.90820237 3.13091961]']:104: WARNING: py:obj reference target not found: True ['biweight_midcovariance(data, c=9.0, M=None, modify_sample_size=False)', ':module: astropy.stats.biweight', '', '', '', 'Compute the biweight midcovariance between pairs of multiple', 'variables.', '', 'The biweight midcovariance is a robust and resistant estimator of', 'the covariance between two variables.', '', 'This function computes the biweight midcovariance between all pairs', 'of the input variables (rows) in the input data. The output array', 'will have a shape of (N_variables, N_variables). The diagonal', 'elements will be the biweight midvariances of each input variable', '(see :func:`biweight_midvariance`). The off-diagonal elements will', 'be the biweight midcovariances between each pair of input variables.', '', 'For example, if the input array ``data`` contains three variables', '(rows) ``x``, ``y``, and ``z``, the output `~numpy.ndarray`', 'midcovariance matrix will be:', '', '.. math::', '', ' \\begin{pmatrix}', ' \\zeta_{xx} & \\zeta_{xy} & \\zeta_{xz} \\\\', ' \\zeta_{yx} & \\zeta_{yy} & \\zeta_{yz} \\\\', ' \\zeta_{zx} & \\zeta_{zy} & \\zeta_{zz}', ' \\end{pmatrix}', '', 'where :math:`\\zeta_{xx}`, :math:`\\zeta_{yy}`, and :math:`\\zeta_{zz}`', 'are the biweight midvariances of each variable. The biweight', 'midcovariance between :math:`x` and :math:`y` is :math:`\\zeta_{xy}`', '(:math:`= \\zeta_{yx}`). The biweight midcovariance between', ':math:`x` and :math:`z` is :math:`\\zeta_{xz}` (:math:`=', '\\zeta_{zx}`). The biweight midcovariance between :math:`y` and', ':math:`z` is :math:`\\zeta_{yz}` (:math:`= \\zeta_{zy}`).', '', 'The biweight midcovariance between two variables :math:`x` and', ':math:`y` is given by:', '', '.. math::', '', ' \\zeta_{xy} = n \\ \\frac{\\Sigma_{|u_i| < 1, \\ |v_i| < 1} \\', ' (x_i - M_x) (1 - u_i^2)^2 (y_i - M_y) (1 - v_i^2)^2}', ' {(\\Sigma_{|u_i| < 1} \\ (1 - u_i^2) (1 - 5u_i^2))', ' (\\Sigma_{|v_i| < 1} \\ (1 - v_i^2) (1 - 5v_i^2))}', '', 'where :math:`M_x` and :math:`M_y` are the medians (or the input', 'locations) of the two variables and :math:`u_i` and :math:`v_i` are', 'given by:', '', '.. math::', '', ' u_{i} = \\frac{(x_i - M_x)}{c * MAD_x}', '', ' v_{i} = \\frac{(y_i - M_y)}{c * MAD_y}', '', 'where :math:`c` is the biweight tuning constant and :math:`MAD_x`', 'and :math:`MAD_y` are the `median absolute deviation', '`_ of the', ':math:`x` and :math:`y` variables. The biweight midvariance tuning', 'constant ``c`` is typically 9.0 (the default).', '', 'For the standard definition of biweight midcovariance :math:`n` is', 'the total number of observations of each variable. That definition', 'is used if ``modify_sample_size`` is `False`, which is the default.', '', 'However, if ``modify_sample_size = True``, then :math:`n` is the', 'number of observations for which :math:`|u_i| < 1` and :math:`|v_i|', '< 1`, i.e.', '', '.. math::', '', ' n = \\Sigma_{|u_i| < 1, \\ |v_i| < 1} \\ 1', '', 'which results in a value closer to the true variance for small', 'sample sizes or for a large number of rejected values.', '', ':Parameters:', '', ' **data** : 2D or 1D array-like', '', ' Input data either as a 2D or 1D array. For a 2D array, it', ' should have a shape (N_variables, N_observations). A 1D array', ' may be input for observations of a single variable, in which', ' case the biweight midvariance will be calculated (no', ' covariance). Each row of ``data`` represents a variable, and', ' each column a single observation of all those variables (same as', ' the `numpy.cov` convention).', ' ', '', ' **c** : float, optional', '', ' Tuning constant for the biweight estimator (default = 9.0).', ' ', '', ' **M** : float or 1D array-like, optional', '', ' The location estimate of each variable, either as a scalar or', ' array. If ``M`` is an array, then its must be a 1D array', ' containing the location estimate of each row (i.e. ``a.ndim``', ' elements). If ``M`` is a scalar value, then its value will be', ' used for each variable (row). If `None` (default), then the', ' median of each variable (row) will be used.', ' ', '', ' **modify_sample_size** : bool, optional', '', ' If `False` (default), then the sample size used is the total', ' number of observations of each variable, which follows the', ' standard definition of biweight midcovariance. If `True`, then', ' the sample size is reduced to correct for any rejected values', ' (see formula above), which results in a value closer to the true', ' covariance for small sample sizes or for a large number of', ' rejected values.', '', ':Returns:', '', ' **biweight_midcovariance** : `~numpy.ndarray`', '', ' A 2D array representing the biweight midcovariances between each', ' pair of the variables (rows) in the input array. The output', ' array will have a shape of (N_variables, N_variables). The', ' diagonal elements will be the biweight midvariances of each', ' input variable. The off-diagonal elements will be the biweight', ' midcovariances between each pair of input variables.', '', '.. seealso::', '', ' ', ' :obj:`biweight_midvariance`, :obj:`biweight_midcorrelation`, :obj:`biweight_scale`, :obj:`biweight_location`', ' ', '.. rubric:: References', '', '.. [R52] http://www.itl.nist.gov/div898/software/dataplot/refman2/auxillar/biwmidc.htm', '', '.. only:: latex', '', ' [R52]_', '', '.. rubric:: Examples', '', '', 'Compute the biweight midcovariance between two random variables:', '', '>>> import numpy as np', '>>> from astropy.stats import biweight_midcovariance', '>>> # Generate two random variables x and y', '>>> rng = np.random.RandomState(1)', '>>> x = rng.normal(0, 1, 200)', '>>> y = rng.normal(0, 3, 200)', '>>> # Introduce an obvious outlier', '>>> x[0] = 30.0', '>>> # Calculate the biweight midcovariances between x and y', '>>> bicov = biweight_midcovariance([x, y])', '>>> print(bicov) # doctest: +FLOAT_CMP', '[[ 0.82483155 -0.18961219]', ' [-0.18961219 9.80265764]]', '>>> # Print standard deviation estimates', '>>> print(np.sqrt(bicov.diagonal())) # doctest: +FLOAT_CMP', '[ 0.90820237 3.13091961]']:114: WARNING: py:obj reference target not found: numpy.ndarray ['biweight_midvariance(data, c=9.0, M=None, axis=None, modify_sample_size=False)', ':module: astropy.stats.biweight', '', '', '', 'Compute the biweight midvariance.', '', 'The biweight midvariance is a robust statistic for determining the', 'variance of a distribution. Its square root is a robust estimator', 'of scale (i.e. standard deviation). It is given by:', '', '.. math::', '', ' \\zeta_{bivar} = n \\ \\frac{\\Sigma_{|u_i| < 1} \\', ' (x_i - M)^2 (1 - u_i^2)^4} {(\\Sigma_{|u_i| < 1} \\', ' (1 - u_i^2) (1 - 5u_i^2))^2}', '', 'where :math:`x` is the input data, :math:`M` is the sample median', '(or the input location) and :math:`u_i` is given by:', '', '.. math::', '', ' u_{i} = \\frac{(x_i - M)}{c * MAD}', '', 'where :math:`c` is the tuning constant and :math:`MAD` is the', '`median absolute deviation', '`_. The', 'biweight midvariance tuning constant ``c`` is typically 9.0 (the', 'default).', '', 'For the standard definition of `biweight midvariance', '`_,', ':math:`n` is the total number of points in the array (or along the', 'input ``axis``, if specified). That definition is used if', '``modify_sample_size`` is `False`, which is the default.', '', 'However, if ``modify_sample_size = True``, then :math:`n` is the', 'number of points for which :math:`|u_i| < 1` (i.e. the total number', 'of non-rejected values), i.e.', '', '.. math::', '', ' n = \\Sigma_{|u_i| < 1} \\ 1', '', 'which results in a value closer to the true variance for small', 'sample sizes or for a large number of rejected values.', '', ':Parameters:', '', ' **dat** : array-like', '', ' Input array or object that can be converted to an array.', '', ' **c** : float, optional', '', ' Tuning constant for the biweight estimator (default = 9.0).', '', ' **M** : float or array-like, optional', '', ' The location estimate. If ``M`` is a scalar value, then its', ' value will be used for the entire array (or along each ``axis``,', ' if specified). If ``M`` is an array, then its must be an array', ' containing the location estimate along each ``axis`` of the', ' input array. If `None` (default), then the median of the input', ' array will be used (or along each ``axis``, if specified).', '', ' **axis** : int, optional', '', ' The axis along which the biweight midvariances are computed. If', ' `None` (default), then the biweight midvariance of the flattened', ' input array will be computed.', '', ' **modify_sample_size** : bool, optional', '', ' If `False` (default), then the sample size used is the total', ' number of elements in the array (or along the input ``axis``, if', ' specified), which follows the standard definition of biweight', ' midvariance. If `True`, then the sample size is reduced to', ' correct for any rejected values (i.e. the sample size used', ' includes only the non-rejected values), which results in a value', ' closer to the true variance for small sample sizes or for a', ' large number of rejected values.', '', ':Returns:', '', ' **biweight_midvariance** : float or `~numpy.ndarray`', '', ' The biweight midvariance of the input data. If ``axis`` is', ' `None` then a scalar will be returned, otherwise a', ' `~numpy.ndarray` will be returned.', '', '.. seealso::', '', ' ', ' :obj:`biweight_midcovariance`, :obj:`biweight_midcorrelation`, :obj:`astropy.stats.mad_std`, :obj:`astropy.stats.median_absolute_deviation`', ' ', '.. rubric:: References', '', '.. [R53] https://en.wikipedia.org/wiki/Robust_measures_of_scale#The_biweight_midvariance', '', '.. [R54] Beers, Flynn, and Gebhardt (1990; AJ 100, 32) (http://adsabs.harvard.edu/abs/1990AJ....100...32B)', '', '.. only:: latex', '', ' [R53]_, [R54]_', '', '.. rubric:: Examples', '', '', 'Generate random variates from a Gaussian distribution and return the', 'biweight midvariance of the distribution:', '', '>>> import numpy as np', '>>> from astropy.stats import biweight_midvariance', '>>> rand = np.random.RandomState(12345)', '>>> bivar = biweight_midvariance(rand.randn(1000))', '>>> print(bivar) # doctest: +FLOAT_CMP', '0.97362869104']:28: WARNING: py:obj reference target not found: False ['biweight_midvariance(data, c=9.0, M=None, axis=None, modify_sample_size=False)', ':module: astropy.stats.biweight', '', '', '', 'Compute the biweight midvariance.', '', 'The biweight midvariance is a robust statistic for determining the', 'variance of a distribution. Its square root is a robust estimator', 'of scale (i.e. standard deviation). It is given by:', '', '.. math::', '', ' \\zeta_{bivar} = n \\ \\frac{\\Sigma_{|u_i| < 1} \\', ' (x_i - M)^2 (1 - u_i^2)^4} {(\\Sigma_{|u_i| < 1} \\', ' (1 - u_i^2) (1 - 5u_i^2))^2}', '', 'where :math:`x` is the input data, :math:`M` is the sample median', '(or the input location) and :math:`u_i` is given by:', '', '.. math::', '', ' u_{i} = \\frac{(x_i - M)}{c * MAD}', '', 'where :math:`c` is the tuning constant and :math:`MAD` is the', '`median absolute deviation', '`_. The', 'biweight midvariance tuning constant ``c`` is typically 9.0 (the', 'default).', '', 'For the standard definition of `biweight midvariance', '`_,', ':math:`n` is the total number of points in the array (or along the', 'input ``axis``, if specified). That definition is used if', '``modify_sample_size`` is `False`, which is the default.', '', 'However, if ``modify_sample_size = True``, then :math:`n` is the', 'number of points for which :math:`|u_i| < 1` (i.e. the total number', 'of non-rejected values), i.e.', '', '.. math::', '', ' n = \\Sigma_{|u_i| < 1} \\ 1', '', 'which results in a value closer to the true variance for small', 'sample sizes or for a large number of rejected values.', '', ':Parameters:', '', ' **dat** : array-like', '', ' Input array or object that can be converted to an array.', '', ' **c** : float, optional', '', ' Tuning constant for the biweight estimator (default = 9.0).', '', ' **M** : float or array-like, optional', '', ' The location estimate. If ``M`` is a scalar value, then its', ' value will be used for the entire array (or along each ``axis``,', ' if specified). If ``M`` is an array, then its must be an array', ' containing the location estimate along each ``axis`` of the', ' input array. If `None` (default), then the median of the input', ' array will be used (or along each ``axis``, if specified).', '', ' **axis** : int, optional', '', ' The axis along which the biweight midvariances are computed. If', ' `None` (default), then the biweight midvariance of the flattened', ' input array will be computed.', '', ' **modify_sample_size** : bool, optional', '', ' If `False` (default), then the sample size used is the total', ' number of elements in the array (or along the input ``axis``, if', ' specified), which follows the standard definition of biweight', ' midvariance. If `True`, then the sample size is reduced to', ' correct for any rejected values (i.e. the sample size used', ' includes only the non-rejected values), which results in a value', ' closer to the true variance for small sample sizes or for a', ' large number of rejected values.', '', ':Returns:', '', ' **biweight_midvariance** : float or `~numpy.ndarray`', '', ' The biweight midvariance of the input data. If ``axis`` is', ' `None` then a scalar will be returned, otherwise a', ' `~numpy.ndarray` will be returned.', '', '.. seealso::', '', ' ', ' :obj:`biweight_midcovariance`, :obj:`biweight_midcorrelation`, :obj:`astropy.stats.mad_std`, :obj:`astropy.stats.median_absolute_deviation`', ' ', '.. rubric:: References', '', '.. [R53] https://en.wikipedia.org/wiki/Robust_measures_of_scale#The_biweight_midvariance', '', '.. [R54] Beers, Flynn, and Gebhardt (1990; AJ 100, 32) (http://adsabs.harvard.edu/abs/1990AJ....100...32B)', '', '.. only:: latex', '', ' [R53]_, [R54]_', '', '.. rubric:: Examples', '', '', 'Generate random variates from a Gaussian distribution and return the', 'biweight midvariance of the distribution:', '', '>>> import numpy as np', '>>> from astropy.stats import biweight_midvariance', '>>> rand = np.random.RandomState(12345)', '>>> bivar = biweight_midvariance(rand.randn(1000))', '>>> print(bivar) # doctest: +FLOAT_CMP', '0.97362869104']:57: WARNING: py:obj reference target not found: None ['biweight_midvariance(data, c=9.0, M=None, axis=None, modify_sample_size=False)', ':module: astropy.stats.biweight', '', '', '', 'Compute the biweight midvariance.', '', 'The biweight midvariance is a robust statistic for determining the', 'variance of a distribution. Its square root is a robust estimator', 'of scale (i.e. standard deviation). It is given by:', '', '.. math::', '', ' \\zeta_{bivar} = n \\ \\frac{\\Sigma_{|u_i| < 1} \\', ' (x_i - M)^2 (1 - u_i^2)^4} {(\\Sigma_{|u_i| < 1} \\', ' (1 - u_i^2) (1 - 5u_i^2))^2}', '', 'where :math:`x` is the input data, :math:`M` is the sample median', '(or the input location) and :math:`u_i` is given by:', '', '.. math::', '', ' u_{i} = \\frac{(x_i - M)}{c * MAD}', '', 'where :math:`c` is the tuning constant and :math:`MAD` is the', '`median absolute deviation', '`_. The', 'biweight midvariance tuning constant ``c`` is typically 9.0 (the', 'default).', '', 'For the standard definition of `biweight midvariance', '`_,', ':math:`n` is the total number of points in the array (or along the', 'input ``axis``, if specified). That definition is used if', '``modify_sample_size`` is `False`, which is the default.', '', 'However, if ``modify_sample_size = True``, then :math:`n` is the', 'number of points for which :math:`|u_i| < 1` (i.e. the total number', 'of non-rejected values), i.e.', '', '.. math::', '', ' n = \\Sigma_{|u_i| < 1} \\ 1', '', 'which results in a value closer to the true variance for small', 'sample sizes or for a large number of rejected values.', '', ':Parameters:', '', ' **dat** : array-like', '', ' Input array or object that can be converted to an array.', '', ' **c** : float, optional', '', ' Tuning constant for the biweight estimator (default = 9.0).', '', ' **M** : float or array-like, optional', '', ' The location estimate. If ``M`` is a scalar value, then its', ' value will be used for the entire array (or along each ``axis``,', ' if specified). If ``M`` is an array, then its must be an array', ' containing the location estimate along each ``axis`` of the', ' input array. If `None` (default), then the median of the input', ' array will be used (or along each ``axis``, if specified).', '', ' **axis** : int, optional', '', ' The axis along which the biweight midvariances are computed. If', ' `None` (default), then the biweight midvariance of the flattened', ' input array will be computed.', '', ' **modify_sample_size** : bool, optional', '', ' If `False` (default), then the sample size used is the total', ' number of elements in the array (or along the input ``axis``, if', ' specified), which follows the standard definition of biweight', ' midvariance. If `True`, then the sample size is reduced to', ' correct for any rejected values (i.e. the sample size used', ' includes only the non-rejected values), which results in a value', ' closer to the true variance for small sample sizes or for a', ' large number of rejected values.', '', ':Returns:', '', ' **biweight_midvariance** : float or `~numpy.ndarray`', '', ' The biweight midvariance of the input data. If ``axis`` is', ' `None` then a scalar will be returned, otherwise a', ' `~numpy.ndarray` will be returned.', '', '.. seealso::', '', ' ', ' :obj:`biweight_midcovariance`, :obj:`biweight_midcorrelation`, :obj:`astropy.stats.mad_std`, :obj:`astropy.stats.median_absolute_deviation`', ' ', '.. rubric:: References', '', '.. [R53] https://en.wikipedia.org/wiki/Robust_measures_of_scale#The_biweight_midvariance', '', '.. [R54] Beers, Flynn, and Gebhardt (1990; AJ 100, 32) (http://adsabs.harvard.edu/abs/1990AJ....100...32B)', '', '.. only:: latex', '', ' [R53]_, [R54]_', '', '.. rubric:: Examples', '', '', 'Generate random variates from a Gaussian distribution and return the', 'biweight midvariance of the distribution:', '', '>>> import numpy as np', '>>> from astropy.stats import biweight_midvariance', '>>> rand = np.random.RandomState(12345)', '>>> bivar = biweight_midvariance(rand.randn(1000))', '>>> print(bivar) # doctest: +FLOAT_CMP', '0.97362869104']:66: WARNING: py:obj reference target not found: None ['biweight_midvariance(data, c=9.0, M=None, axis=None, modify_sample_size=False)', ':module: astropy.stats.biweight', '', '', '', 'Compute the biweight midvariance.', '', 'The biweight midvariance is a robust statistic for determining the', 'variance of a distribution. Its square root is a robust estimator', 'of scale (i.e. standard deviation). It is given by:', '', '.. math::', '', ' \\zeta_{bivar} = n \\ \\frac{\\Sigma_{|u_i| < 1} \\', ' (x_i - M)^2 (1 - u_i^2)^4} {(\\Sigma_{|u_i| < 1} \\', ' (1 - u_i^2) (1 - 5u_i^2))^2}', '', 'where :math:`x` is the input data, :math:`M` is the sample median', '(or the input location) and :math:`u_i` is given by:', '', '.. math::', '', ' u_{i} = \\frac{(x_i - M)}{c * MAD}', '', 'where :math:`c` is the tuning constant and :math:`MAD` is the', '`median absolute deviation', '`_. The', 'biweight midvariance tuning constant ``c`` is typically 9.0 (the', 'default).', '', 'For the standard definition of `biweight midvariance', '`_,', ':math:`n` is the total number of points in the array (or along the', 'input ``axis``, if specified). That definition is used if', '``modify_sample_size`` is `False`, which is the default.', '', 'However, if ``modify_sample_size = True``, then :math:`n` is the', 'number of points for which :math:`|u_i| < 1` (i.e. the total number', 'of non-rejected values), i.e.', '', '.. math::', '', ' n = \\Sigma_{|u_i| < 1} \\ 1', '', 'which results in a value closer to the true variance for small', 'sample sizes or for a large number of rejected values.', '', ':Parameters:', '', ' **dat** : array-like', '', ' Input array or object that can be converted to an array.', '', ' **c** : float, optional', '', ' Tuning constant for the biweight estimator (default = 9.0).', '', ' **M** : float or array-like, optional', '', ' The location estimate. If ``M`` is a scalar value, then its', ' value will be used for the entire array (or along each ``axis``,', ' if specified). If ``M`` is an array, then its must be an array', ' containing the location estimate along each ``axis`` of the', ' input array. If `None` (default), then the median of the input', ' array will be used (or along each ``axis``, if specified).', '', ' **axis** : int, optional', '', ' The axis along which the biweight midvariances are computed. If', ' `None` (default), then the biweight midvariance of the flattened', ' input array will be computed.', '', ' **modify_sample_size** : bool, optional', '', ' If `False` (default), then the sample size used is the total', ' number of elements in the array (or along the input ``axis``, if', ' specified), which follows the standard definition of biweight', ' midvariance. If `True`, then the sample size is reduced to', ' correct for any rejected values (i.e. the sample size used', ' includes only the non-rejected values), which results in a value', ' closer to the true variance for small sample sizes or for a', ' large number of rejected values.', '', ':Returns:', '', ' **biweight_midvariance** : float or `~numpy.ndarray`', '', ' The biweight midvariance of the input data. If ``axis`` is', ' `None` then a scalar will be returned, otherwise a', ' `~numpy.ndarray` will be returned.', '', '.. seealso::', '', ' ', ' :obj:`biweight_midcovariance`, :obj:`biweight_midcorrelation`, :obj:`astropy.stats.mad_std`, :obj:`astropy.stats.median_absolute_deviation`', ' ', '.. rubric:: References', '', '.. [R53] https://en.wikipedia.org/wiki/Robust_measures_of_scale#The_biweight_midvariance', '', '.. [R54] Beers, Flynn, and Gebhardt (1990; AJ 100, 32) (http://adsabs.harvard.edu/abs/1990AJ....100...32B)', '', '.. only:: latex', '', ' [R53]_, [R54]_', '', '.. rubric:: Examples', '', '', 'Generate random variates from a Gaussian distribution and return the', 'biweight midvariance of the distribution:', '', '>>> import numpy as np', '>>> from astropy.stats import biweight_midvariance', '>>> rand = np.random.RandomState(12345)', '>>> bivar = biweight_midvariance(rand.randn(1000))', '>>> print(bivar) # doctest: +FLOAT_CMP', '0.97362869104']:72: WARNING: py:obj reference target not found: False ['biweight_midvariance(data, c=9.0, M=None, axis=None, modify_sample_size=False)', ':module: astropy.stats.biweight', '', '', '', 'Compute the biweight midvariance.', '', 'The biweight midvariance is a robust statistic for determining the', 'variance of a distribution. Its square root is a robust estimator', 'of scale (i.e. standard deviation). It is given by:', '', '.. math::', '', ' \\zeta_{bivar} = n \\ \\frac{\\Sigma_{|u_i| < 1} \\', ' (x_i - M)^2 (1 - u_i^2)^4} {(\\Sigma_{|u_i| < 1} \\', ' (1 - u_i^2) (1 - 5u_i^2))^2}', '', 'where :math:`x` is the input data, :math:`M` is the sample median', '(or the input location) and :math:`u_i` is given by:', '', '.. math::', '', ' u_{i} = \\frac{(x_i - M)}{c * MAD}', '', 'where :math:`c` is the tuning constant and :math:`MAD` is the', '`median absolute deviation', '`_. The', 'biweight midvariance tuning constant ``c`` is typically 9.0 (the', 'default).', '', 'For the standard definition of `biweight midvariance', '`_,', ':math:`n` is the total number of points in the array (or along the', 'input ``axis``, if specified). That definition is used if', '``modify_sample_size`` is `False`, which is the default.', '', 'However, if ``modify_sample_size = True``, then :math:`n` is the', 'number of points for which :math:`|u_i| < 1` (i.e. the total number', 'of non-rejected values), i.e.', '', '.. math::', '', ' n = \\Sigma_{|u_i| < 1} \\ 1', '', 'which results in a value closer to the true variance for small', 'sample sizes or for a large number of rejected values.', '', ':Parameters:', '', ' **dat** : array-like', '', ' Input array or object that can be converted to an array.', '', ' **c** : float, optional', '', ' Tuning constant for the biweight estimator (default = 9.0).', '', ' **M** : float or array-like, optional', '', ' The location estimate. If ``M`` is a scalar value, then its', ' value will be used for the entire array (or along each ``axis``,', ' if specified). If ``M`` is an array, then its must be an array', ' containing the location estimate along each ``axis`` of the', ' input array. If `None` (default), then the median of the input', ' array will be used (or along each ``axis``, if specified).', '', ' **axis** : int, optional', '', ' The axis along which the biweight midvariances are computed. If', ' `None` (default), then the biweight midvariance of the flattened', ' input array will be computed.', '', ' **modify_sample_size** : bool, optional', '', ' If `False` (default), then the sample size used is the total', ' number of elements in the array (or along the input ``axis``, if', ' specified), which follows the standard definition of biweight', ' midvariance. If `True`, then the sample size is reduced to', ' correct for any rejected values (i.e. the sample size used', ' includes only the non-rejected values), which results in a value', ' closer to the true variance for small sample sizes or for a', ' large number of rejected values.', '', ':Returns:', '', ' **biweight_midvariance** : float or `~numpy.ndarray`', '', ' The biweight midvariance of the input data. If ``axis`` is', ' `None` then a scalar will be returned, otherwise a', ' `~numpy.ndarray` will be returned.', '', '.. seealso::', '', ' ', ' :obj:`biweight_midcovariance`, :obj:`biweight_midcorrelation`, :obj:`astropy.stats.mad_std`, :obj:`astropy.stats.median_absolute_deviation`', ' ', '.. rubric:: References', '', '.. [R53] https://en.wikipedia.org/wiki/Robust_measures_of_scale#The_biweight_midvariance', '', '.. [R54] Beers, Flynn, and Gebhardt (1990; AJ 100, 32) (http://adsabs.harvard.edu/abs/1990AJ....100...32B)', '', '.. only:: latex', '', ' [R53]_, [R54]_', '', '.. rubric:: Examples', '', '', 'Generate random variates from a Gaussian distribution and return the', 'biweight midvariance of the distribution:', '', '>>> import numpy as np', '>>> from astropy.stats import biweight_midvariance', '>>> rand = np.random.RandomState(12345)', '>>> bivar = biweight_midvariance(rand.randn(1000))', '>>> print(bivar) # doctest: +FLOAT_CMP', '0.97362869104']:72: WARNING: py:obj reference target not found: True ['biweight_midvariance(data, c=9.0, M=None, axis=None, modify_sample_size=False)', ':module: astropy.stats.biweight', '', '', '', 'Compute the biweight midvariance.', '', 'The biweight midvariance is a robust statistic for determining the', 'variance of a distribution. Its square root is a robust estimator', 'of scale (i.e. standard deviation). It is given by:', '', '.. math::', '', ' \\zeta_{bivar} = n \\ \\frac{\\Sigma_{|u_i| < 1} \\', ' (x_i - M)^2 (1 - u_i^2)^4} {(\\Sigma_{|u_i| < 1} \\', ' (1 - u_i^2) (1 - 5u_i^2))^2}', '', 'where :math:`x` is the input data, :math:`M` is the sample median', '(or the input location) and :math:`u_i` is given by:', '', '.. math::', '', ' u_{i} = \\frac{(x_i - M)}{c * MAD}', '', 'where :math:`c` is the tuning constant and :math:`MAD` is the', '`median absolute deviation', '`_. The', 'biweight midvariance tuning constant ``c`` is typically 9.0 (the', 'default).', '', 'For the standard definition of `biweight midvariance', '`_,', ':math:`n` is the total number of points in the array (or along the', 'input ``axis``, if specified). That definition is used if', '``modify_sample_size`` is `False`, which is the default.', '', 'However, if ``modify_sample_size = True``, then :math:`n` is the', 'number of points for which :math:`|u_i| < 1` (i.e. the total number', 'of non-rejected values), i.e.', '', '.. math::', '', ' n = \\Sigma_{|u_i| < 1} \\ 1', '', 'which results in a value closer to the true variance for small', 'sample sizes or for a large number of rejected values.', '', ':Parameters:', '', ' **dat** : array-like', '', ' Input array or object that can be converted to an array.', '', ' **c** : float, optional', '', ' Tuning constant for the biweight estimator (default = 9.0).', '', ' **M** : float or array-like, optional', '', ' The location estimate. If ``M`` is a scalar value, then its', ' value will be used for the entire array (or along each ``axis``,', ' if specified). If ``M`` is an array, then its must be an array', ' containing the location estimate along each ``axis`` of the', ' input array. If `None` (default), then the median of the input', ' array will be used (or along each ``axis``, if specified).', '', ' **axis** : int, optional', '', ' The axis along which the biweight midvariances are computed. If', ' `None` (default), then the biweight midvariance of the flattened', ' input array will be computed.', '', ' **modify_sample_size** : bool, optional', '', ' If `False` (default), then the sample size used is the total', ' number of elements in the array (or along the input ``axis``, if', ' specified), which follows the standard definition of biweight', ' midvariance. If `True`, then the sample size is reduced to', ' correct for any rejected values (i.e. the sample size used', ' includes only the non-rejected values), which results in a value', ' closer to the true variance for small sample sizes or for a', ' large number of rejected values.', '', ':Returns:', '', ' **biweight_midvariance** : float or `~numpy.ndarray`', '', ' The biweight midvariance of the input data. If ``axis`` is', ' `None` then a scalar will be returned, otherwise a', ' `~numpy.ndarray` will be returned.', '', '.. seealso::', '', ' ', ' :obj:`biweight_midcovariance`, :obj:`biweight_midcorrelation`, :obj:`astropy.stats.mad_std`, :obj:`astropy.stats.median_absolute_deviation`', ' ', '.. rubric:: References', '', '.. [R53] https://en.wikipedia.org/wiki/Robust_measures_of_scale#The_biweight_midvariance', '', '.. [R54] Beers, Flynn, and Gebhardt (1990; AJ 100, 32) (http://adsabs.harvard.edu/abs/1990AJ....100...32B)', '', '.. only:: latex', '', ' [R53]_, [R54]_', '', '.. rubric:: Examples', '', '', 'Generate random variates from a Gaussian distribution and return the', 'biweight midvariance of the distribution:', '', '>>> import numpy as np', '>>> from astropy.stats import biweight_midvariance', '>>> rand = np.random.RandomState(12345)', '>>> bivar = biweight_midvariance(rand.randn(1000))', '>>> print(bivar) # doctest: +FLOAT_CMP', '0.97362869104']:83: WARNING: py:obj reference target not found: numpy.ndarray ['biweight_midvariance(data, c=9.0, M=None, axis=None, modify_sample_size=False)', ':module: astropy.stats.biweight', '', '', '', 'Compute the biweight midvariance.', '', 'The biweight midvariance is a robust statistic for determining the', 'variance of a distribution. Its square root is a robust estimator', 'of scale (i.e. standard deviation). It is given by:', '', '.. math::', '', ' \\zeta_{bivar} = n \\ \\frac{\\Sigma_{|u_i| < 1} \\', ' (x_i - M)^2 (1 - u_i^2)^4} {(\\Sigma_{|u_i| < 1} \\', ' (1 - u_i^2) (1 - 5u_i^2))^2}', '', 'where :math:`x` is the input data, :math:`M` is the sample median', '(or the input location) and :math:`u_i` is given by:', '', '.. math::', '', ' u_{i} = \\frac{(x_i - M)}{c * MAD}', '', 'where :math:`c` is the tuning constant and :math:`MAD` is the', '`median absolute deviation', '`_. The', 'biweight midvariance tuning constant ``c`` is typically 9.0 (the', 'default).', '', 'For the standard definition of `biweight midvariance', '`_,', ':math:`n` is the total number of points in the array (or along the', 'input ``axis``, if specified). That definition is used if', '``modify_sample_size`` is `False`, which is the default.', '', 'However, if ``modify_sample_size = True``, then :math:`n` is the', 'number of points for which :math:`|u_i| < 1` (i.e. the total number', 'of non-rejected values), i.e.', '', '.. math::', '', ' n = \\Sigma_{|u_i| < 1} \\ 1', '', 'which results in a value closer to the true variance for small', 'sample sizes or for a large number of rejected values.', '', ':Parameters:', '', ' **dat** : array-like', '', ' Input array or object that can be converted to an array.', '', ' **c** : float, optional', '', ' Tuning constant for the biweight estimator (default = 9.0).', '', ' **M** : float or array-like, optional', '', ' The location estimate. If ``M`` is a scalar value, then its', ' value will be used for the entire array (or along each ``axis``,', ' if specified). If ``M`` is an array, then its must be an array', ' containing the location estimate along each ``axis`` of the', ' input array. If `None` (default), then the median of the input', ' array will be used (or along each ``axis``, if specified).', '', ' **axis** : int, optional', '', ' The axis along which the biweight midvariances are computed. If', ' `None` (default), then the biweight midvariance of the flattened', ' input array will be computed.', '', ' **modify_sample_size** : bool, optional', '', ' If `False` (default), then the sample size used is the total', ' number of elements in the array (or along the input ``axis``, if', ' specified), which follows the standard definition of biweight', ' midvariance. If `True`, then the sample size is reduced to', ' correct for any rejected values (i.e. the sample size used', ' includes only the non-rejected values), which results in a value', ' closer to the true variance for small sample sizes or for a', ' large number of rejected values.', '', ':Returns:', '', ' **biweight_midvariance** : float or `~numpy.ndarray`', '', ' The biweight midvariance of the input data. If ``axis`` is', ' `None` then a scalar will be returned, otherwise a', ' `~numpy.ndarray` will be returned.', '', '.. seealso::', '', ' ', ' :obj:`biweight_midcovariance`, :obj:`biweight_midcorrelation`, :obj:`astropy.stats.mad_std`, :obj:`astropy.stats.median_absolute_deviation`', ' ', '.. rubric:: References', '', '.. [R53] https://en.wikipedia.org/wiki/Robust_measures_of_scale#The_biweight_midvariance', '', '.. [R54] Beers, Flynn, and Gebhardt (1990; AJ 100, 32) (http://adsabs.harvard.edu/abs/1990AJ....100...32B)', '', '.. only:: latex', '', ' [R53]_, [R54]_', '', '.. rubric:: Examples', '', '', 'Generate random variates from a Gaussian distribution and return the', 'biweight midvariance of the distribution:', '', '>>> import numpy as np', '>>> from astropy.stats import biweight_midvariance', '>>> rand = np.random.RandomState(12345)', '>>> bivar = biweight_midvariance(rand.randn(1000))', '>>> print(bivar) # doctest: +FLOAT_CMP', '0.97362869104']:85: WARNING: py:obj reference target not found: None ['biweight_midvariance(data, c=9.0, M=None, axis=None, modify_sample_size=False)', ':module: astropy.stats.biweight', '', '', '', 'Compute the biweight midvariance.', '', 'The biweight midvariance is a robust statistic for determining the', 'variance of a distribution. Its square root is a robust estimator', 'of scale (i.e. standard deviation). It is given by:', '', '.. math::', '', ' \\zeta_{bivar} = n \\ \\frac{\\Sigma_{|u_i| < 1} \\', ' (x_i - M)^2 (1 - u_i^2)^4} {(\\Sigma_{|u_i| < 1} \\', ' (1 - u_i^2) (1 - 5u_i^2))^2}', '', 'where :math:`x` is the input data, :math:`M` is the sample median', '(or the input location) and :math:`u_i` is given by:', '', '.. math::', '', ' u_{i} = \\frac{(x_i - M)}{c * MAD}', '', 'where :math:`c` is the tuning constant and :math:`MAD` is the', '`median absolute deviation', '`_. The', 'biweight midvariance tuning constant ``c`` is typically 9.0 (the', 'default).', '', 'For the standard definition of `biweight midvariance', '`_,', ':math:`n` is the total number of points in the array (or along the', 'input ``axis``, if specified). That definition is used if', '``modify_sample_size`` is `False`, which is the default.', '', 'However, if ``modify_sample_size = True``, then :math:`n` is the', 'number of points for which :math:`|u_i| < 1` (i.e. the total number', 'of non-rejected values), i.e.', '', '.. math::', '', ' n = \\Sigma_{|u_i| < 1} \\ 1', '', 'which results in a value closer to the true variance for small', 'sample sizes or for a large number of rejected values.', '', ':Parameters:', '', ' **dat** : array-like', '', ' Input array or object that can be converted to an array.', '', ' **c** : float, optional', '', ' Tuning constant for the biweight estimator (default = 9.0).', '', ' **M** : float or array-like, optional', '', ' The location estimate. If ``M`` is a scalar value, then its', ' value will be used for the entire array (or along each ``axis``,', ' if specified). If ``M`` is an array, then its must be an array', ' containing the location estimate along each ``axis`` of the', ' input array. If `None` (default), then the median of the input', ' array will be used (or along each ``axis``, if specified).', '', ' **axis** : int, optional', '', ' The axis along which the biweight midvariances are computed. If', ' `None` (default), then the biweight midvariance of the flattened', ' input array will be computed.', '', ' **modify_sample_size** : bool, optional', '', ' If `False` (default), then the sample size used is the total', ' number of elements in the array (or along the input ``axis``, if', ' specified), which follows the standard definition of biweight', ' midvariance. If `True`, then the sample size is reduced to', ' correct for any rejected values (i.e. the sample size used', ' includes only the non-rejected values), which results in a value', ' closer to the true variance for small sample sizes or for a', ' large number of rejected values.', '', ':Returns:', '', ' **biweight_midvariance** : float or `~numpy.ndarray`', '', ' The biweight midvariance of the input data. If ``axis`` is', ' `None` then a scalar will be returned, otherwise a', ' `~numpy.ndarray` will be returned.', '', '.. seealso::', '', ' ', ' :obj:`biweight_midcovariance`, :obj:`biweight_midcorrelation`, :obj:`astropy.stats.mad_std`, :obj:`astropy.stats.median_absolute_deviation`', ' ', '.. rubric:: References', '', '.. [R53] https://en.wikipedia.org/wiki/Robust_measures_of_scale#The_biweight_midvariance', '', '.. [R54] Beers, Flynn, and Gebhardt (1990; AJ 100, 32) (http://adsabs.harvard.edu/abs/1990AJ....100...32B)', '', '.. only:: latex', '', ' [R53]_, [R54]_', '', '.. rubric:: Examples', '', '', 'Generate random variates from a Gaussian distribution and return the', 'biweight midvariance of the distribution:', '', '>>> import numpy as np', '>>> from astropy.stats import biweight_midvariance', '>>> rand = np.random.RandomState(12345)', '>>> bivar = biweight_midvariance(rand.randn(1000))', '>>> print(bivar) # doctest: +FLOAT_CMP', '0.97362869104']:85: WARNING: py:obj reference target not found: numpy.ndarray ['biweight_scale(data, c=9.0, M=None, axis=None, modify_sample_size=False)', ':module: astropy.stats.biweight', '', '', '', 'Compute the biweight scale.', '', 'The biweight scale is a robust statistic for determining the', 'standard deviation of a distribution. It is the square root of the', '`biweight midvariance', '`_.', 'It is given by:', '', '.. math::', '', ' \\zeta_{biscl} = \\sqrt{n} \\ \\frac{\\sqrt{\\Sigma_{|u_i| < 1} \\', ' (x_i - M)^2 (1 - u_i^2)^4}} {|(\\Sigma_{|u_i| < 1} \\', ' (1 - u_i^2) (1 - 5u_i^2))|}', '', 'where :math:`x` is the input data, :math:`M` is the sample median', '(or the input location) and :math:`u_i` is given by:', '', '.. math::', '', ' u_{i} = \\frac{(x_i - M)}{c * MAD}', '', 'where :math:`c` is the tuning constant and :math:`MAD` is the', '`median absolute deviation', '`_. The', 'biweight midvariance tuning constant ``c`` is typically 9.0 (the', 'default).', '', 'For the standard definition of biweight scale, :math:`n` is the', 'total number of points in the array (or along the input ``axis``, if', 'specified). That definition is used if ``modify_sample_size`` is', '`False`, which is the default.', '', 'However, if ``modify_sample_size = True``, then :math:`n` is the', 'number of points for which :math:`|u_i| < 1` (i.e. the total number', 'of non-rejected values), i.e.', '', '.. math::', '', ' n = \\Sigma_{|u_i| < 1} \\ 1', '', 'which results in a value closer to the true standard deviation for', 'small sample sizes or for a large number of rejected values.', '', ':Parameters:', '', ' **data** : array-like', '', ' Input array or object that can be converted to an array.', '', ' **c** : float, optional', '', ' Tuning constant for the biweight estimator (default = 9.0).', '', ' **M** : float or array-like, optional', '', ' The location estimate. If ``M`` is a scalar value, then its', ' value will be used for the entire array (or along each ``axis``,', ' if specified). If ``M`` is an array, then its must be an array', ' containing the location estimate along each ``axis`` of the', ' input array. If `None` (default), then the median of the input', ' array will be used (or along each ``axis``, if specified).', '', ' **axis** : int, optional', '', ' The axis along which the biweight scales are computed. If', ' `None` (default), then the biweight scale of the flattened input', ' array will be computed.', '', ' **modify_sample_size** : bool, optional', '', ' If `False` (default), then the sample size used is the total', ' number of elements in the array (or along the input ``axis``, if', ' specified), which follows the standard definition of biweight', ' scale. If `True`, then the sample size is reduced to correct', ' for any rejected values (i.e. the sample size used includes only', ' the non-rejected values), which results in a value closer to the', ' true standard deviation for small sample sizes or for a large', ' number of rejected values.', '', ':Returns:', '', ' **biweight_scale** : float or `~numpy.ndarray`', '', ' The biweight scale of the input data. If ``axis`` is `None`', ' then a scalar will be returned, otherwise a `~numpy.ndarray`', ' will be returned.', '', '.. seealso::', '', ' ', ' :obj:`biweight_midvariance`, :obj:`biweight_midcovariance`, :obj:`biweight_location`, :obj:`astropy.stats.mad_std`, :obj:`astropy.stats.median_absolute_deviation`', ' ', '.. rubric:: References', '', '.. [R55] Beers, Flynn, and Gebhardt (1990; AJ 100, 32) (http://adsabs.harvard.edu/abs/1990AJ....100...32B)', '', '.. [R56] http://www.itl.nist.gov/div898/software/dataplot/refman2/auxillar/biwscale.htm', '', '.. only:: latex', '', ' [R55]_, [R56]_', '', '.. rubric:: Examples', '', '', 'Generate random variates from a Gaussian distribution and return the', 'biweight scale of the distribution:', '', '>>> import numpy as np', '>>> from astropy.stats import biweight_scale', '>>> rand = np.random.RandomState(12345)', '>>> biscl = biweight_scale(rand.randn(1000))', '>>> print(biscl) # doctest: +FLOAT_CMP', '0.986726249291']:30: WARNING: py:obj reference target not found: False ['biweight_scale(data, c=9.0, M=None, axis=None, modify_sample_size=False)', ':module: astropy.stats.biweight', '', '', '', 'Compute the biweight scale.', '', 'The biweight scale is a robust statistic for determining the', 'standard deviation of a distribution. It is the square root of the', '`biweight midvariance', '`_.', 'It is given by:', '', '.. math::', '', ' \\zeta_{biscl} = \\sqrt{n} \\ \\frac{\\sqrt{\\Sigma_{|u_i| < 1} \\', ' (x_i - M)^2 (1 - u_i^2)^4}} {|(\\Sigma_{|u_i| < 1} \\', ' (1 - u_i^2) (1 - 5u_i^2))|}', '', 'where :math:`x` is the input data, :math:`M` is the sample median', '(or the input location) and :math:`u_i` is given by:', '', '.. math::', '', ' u_{i} = \\frac{(x_i - M)}{c * MAD}', '', 'where :math:`c` is the tuning constant and :math:`MAD` is the', '`median absolute deviation', '`_. The', 'biweight midvariance tuning constant ``c`` is typically 9.0 (the', 'default).', '', 'For the standard definition of biweight scale, :math:`n` is the', 'total number of points in the array (or along the input ``axis``, if', 'specified). That definition is used if ``modify_sample_size`` is', '`False`, which is the default.', '', 'However, if ``modify_sample_size = True``, then :math:`n` is the', 'number of points for which :math:`|u_i| < 1` (i.e. the total number', 'of non-rejected values), i.e.', '', '.. math::', '', ' n = \\Sigma_{|u_i| < 1} \\ 1', '', 'which results in a value closer to the true standard deviation for', 'small sample sizes or for a large number of rejected values.', '', ':Parameters:', '', ' **data** : array-like', '', ' Input array or object that can be converted to an array.', '', ' **c** : float, optional', '', ' Tuning constant for the biweight estimator (default = 9.0).', '', ' **M** : float or array-like, optional', '', ' The location estimate. If ``M`` is a scalar value, then its', ' value will be used for the entire array (or along each ``axis``,', ' if specified). If ``M`` is an array, then its must be an array', ' containing the location estimate along each ``axis`` of the', ' input array. If `None` (default), then the median of the input', ' array will be used (or along each ``axis``, if specified).', '', ' **axis** : int, optional', '', ' The axis along which the biweight scales are computed. If', ' `None` (default), then the biweight scale of the flattened input', ' array will be computed.', '', ' **modify_sample_size** : bool, optional', '', ' If `False` (default), then the sample size used is the total', ' number of elements in the array (or along the input ``axis``, if', ' specified), which follows the standard definition of biweight', ' scale. If `True`, then the sample size is reduced to correct', ' for any rejected values (i.e. the sample size used includes only', ' the non-rejected values), which results in a value closer to the', ' true standard deviation for small sample sizes or for a large', ' number of rejected values.', '', ':Returns:', '', ' **biweight_scale** : float or `~numpy.ndarray`', '', ' The biweight scale of the input data. If ``axis`` is `None`', ' then a scalar will be returned, otherwise a `~numpy.ndarray`', ' will be returned.', '', '.. seealso::', '', ' ', ' :obj:`biweight_midvariance`, :obj:`biweight_midcovariance`, :obj:`biweight_location`, :obj:`astropy.stats.mad_std`, :obj:`astropy.stats.median_absolute_deviation`', ' ', '.. rubric:: References', '', '.. [R55] Beers, Flynn, and Gebhardt (1990; AJ 100, 32) (http://adsabs.harvard.edu/abs/1990AJ....100...32B)', '', '.. [R56] http://www.itl.nist.gov/div898/software/dataplot/refman2/auxillar/biwscale.htm', '', '.. only:: latex', '', ' [R55]_, [R56]_', '', '.. rubric:: Examples', '', '', 'Generate random variates from a Gaussian distribution and return the', 'biweight scale of the distribution:', '', '>>> import numpy as np', '>>> from astropy.stats import biweight_scale', '>>> rand = np.random.RandomState(12345)', '>>> biscl = biweight_scale(rand.randn(1000))', '>>> print(biscl) # doctest: +FLOAT_CMP', '0.986726249291']:58: WARNING: py:obj reference target not found: None ['biweight_scale(data, c=9.0, M=None, axis=None, modify_sample_size=False)', ':module: astropy.stats.biweight', '', '', '', 'Compute the biweight scale.', '', 'The biweight scale is a robust statistic for determining the', 'standard deviation of a distribution. It is the square root of the', '`biweight midvariance', '`_.', 'It is given by:', '', '.. math::', '', ' \\zeta_{biscl} = \\sqrt{n} \\ \\frac{\\sqrt{\\Sigma_{|u_i| < 1} \\', ' (x_i - M)^2 (1 - u_i^2)^4}} {|(\\Sigma_{|u_i| < 1} \\', ' (1 - u_i^2) (1 - 5u_i^2))|}', '', 'where :math:`x` is the input data, :math:`M` is the sample median', '(or the input location) and :math:`u_i` is given by:', '', '.. math::', '', ' u_{i} = \\frac{(x_i - M)}{c * MAD}', '', 'where :math:`c` is the tuning constant and :math:`MAD` is the', '`median absolute deviation', '`_. The', 'biweight midvariance tuning constant ``c`` is typically 9.0 (the', 'default).', '', 'For the standard definition of biweight scale, :math:`n` is the', 'total number of points in the array (or along the input ``axis``, if', 'specified). That definition is used if ``modify_sample_size`` is', '`False`, which is the default.', '', 'However, if ``modify_sample_size = True``, then :math:`n` is the', 'number of points for which :math:`|u_i| < 1` (i.e. the total number', 'of non-rejected values), i.e.', '', '.. math::', '', ' n = \\Sigma_{|u_i| < 1} \\ 1', '', 'which results in a value closer to the true standard deviation for', 'small sample sizes or for a large number of rejected values.', '', ':Parameters:', '', ' **data** : array-like', '', ' Input array or object that can be converted to an array.', '', ' **c** : float, optional', '', ' Tuning constant for the biweight estimator (default = 9.0).', '', ' **M** : float or array-like, optional', '', ' The location estimate. If ``M`` is a scalar value, then its', ' value will be used for the entire array (or along each ``axis``,', ' if specified). If ``M`` is an array, then its must be an array', ' containing the location estimate along each ``axis`` of the', ' input array. If `None` (default), then the median of the input', ' array will be used (or along each ``axis``, if specified).', '', ' **axis** : int, optional', '', ' The axis along which the biweight scales are computed. If', ' `None` (default), then the biweight scale of the flattened input', ' array will be computed.', '', ' **modify_sample_size** : bool, optional', '', ' If `False` (default), then the sample size used is the total', ' number of elements in the array (or along the input ``axis``, if', ' specified), which follows the standard definition of biweight', ' scale. If `True`, then the sample size is reduced to correct', ' for any rejected values (i.e. the sample size used includes only', ' the non-rejected values), which results in a value closer to the', ' true standard deviation for small sample sizes or for a large', ' number of rejected values.', '', ':Returns:', '', ' **biweight_scale** : float or `~numpy.ndarray`', '', ' The biweight scale of the input data. If ``axis`` is `None`', ' then a scalar will be returned, otherwise a `~numpy.ndarray`', ' will be returned.', '', '.. seealso::', '', ' ', ' :obj:`biweight_midvariance`, :obj:`biweight_midcovariance`, :obj:`biweight_location`, :obj:`astropy.stats.mad_std`, :obj:`astropy.stats.median_absolute_deviation`', ' ', '.. rubric:: References', '', '.. [R55] Beers, Flynn, and Gebhardt (1990; AJ 100, 32) (http://adsabs.harvard.edu/abs/1990AJ....100...32B)', '', '.. [R56] http://www.itl.nist.gov/div898/software/dataplot/refman2/auxillar/biwscale.htm', '', '.. only:: latex', '', ' [R55]_, [R56]_', '', '.. rubric:: Examples', '', '', 'Generate random variates from a Gaussian distribution and return the', 'biweight scale of the distribution:', '', '>>> import numpy as np', '>>> from astropy.stats import biweight_scale', '>>> rand = np.random.RandomState(12345)', '>>> biscl = biweight_scale(rand.randn(1000))', '>>> print(biscl) # doctest: +FLOAT_CMP', '0.986726249291']:67: WARNING: py:obj reference target not found: None ['biweight_scale(data, c=9.0, M=None, axis=None, modify_sample_size=False)', ':module: astropy.stats.biweight', '', '', '', 'Compute the biweight scale.', '', 'The biweight scale is a robust statistic for determining the', 'standard deviation of a distribution. It is the square root of the', '`biweight midvariance', '`_.', 'It is given by:', '', '.. math::', '', ' \\zeta_{biscl} = \\sqrt{n} \\ \\frac{\\sqrt{\\Sigma_{|u_i| < 1} \\', ' (x_i - M)^2 (1 - u_i^2)^4}} {|(\\Sigma_{|u_i| < 1} \\', ' (1 - u_i^2) (1 - 5u_i^2))|}', '', 'where :math:`x` is the input data, :math:`M` is the sample median', '(or the input location) and :math:`u_i` is given by:', '', '.. math::', '', ' u_{i} = \\frac{(x_i - M)}{c * MAD}', '', 'where :math:`c` is the tuning constant and :math:`MAD` is the', '`median absolute deviation', '`_. The', 'biweight midvariance tuning constant ``c`` is typically 9.0 (the', 'default).', '', 'For the standard definition of biweight scale, :math:`n` is the', 'total number of points in the array (or along the input ``axis``, if', 'specified). That definition is used if ``modify_sample_size`` is', '`False`, which is the default.', '', 'However, if ``modify_sample_size = True``, then :math:`n` is the', 'number of points for which :math:`|u_i| < 1` (i.e. the total number', 'of non-rejected values), i.e.', '', '.. math::', '', ' n = \\Sigma_{|u_i| < 1} \\ 1', '', 'which results in a value closer to the true standard deviation for', 'small sample sizes or for a large number of rejected values.', '', ':Parameters:', '', ' **data** : array-like', '', ' Input array or object that can be converted to an array.', '', ' **c** : float, optional', '', ' Tuning constant for the biweight estimator (default = 9.0).', '', ' **M** : float or array-like, optional', '', ' The location estimate. If ``M`` is a scalar value, then its', ' value will be used for the entire array (or along each ``axis``,', ' if specified). If ``M`` is an array, then its must be an array', ' containing the location estimate along each ``axis`` of the', ' input array. If `None` (default), then the median of the input', ' array will be used (or along each ``axis``, if specified).', '', ' **axis** : int, optional', '', ' The axis along which the biweight scales are computed. If', ' `None` (default), then the biweight scale of the flattened input', ' array will be computed.', '', ' **modify_sample_size** : bool, optional', '', ' If `False` (default), then the sample size used is the total', ' number of elements in the array (or along the input ``axis``, if', ' specified), which follows the standard definition of biweight', ' scale. If `True`, then the sample size is reduced to correct', ' for any rejected values (i.e. the sample size used includes only', ' the non-rejected values), which results in a value closer to the', ' true standard deviation for small sample sizes or for a large', ' number of rejected values.', '', ':Returns:', '', ' **biweight_scale** : float or `~numpy.ndarray`', '', ' The biweight scale of the input data. If ``axis`` is `None`', ' then a scalar will be returned, otherwise a `~numpy.ndarray`', ' will be returned.', '', '.. seealso::', '', ' ', ' :obj:`biweight_midvariance`, :obj:`biweight_midcovariance`, :obj:`biweight_location`, :obj:`astropy.stats.mad_std`, :obj:`astropy.stats.median_absolute_deviation`', ' ', '.. rubric:: References', '', '.. [R55] Beers, Flynn, and Gebhardt (1990; AJ 100, 32) (http://adsabs.harvard.edu/abs/1990AJ....100...32B)', '', '.. [R56] http://www.itl.nist.gov/div898/software/dataplot/refman2/auxillar/biwscale.htm', '', '.. only:: latex', '', ' [R55]_, [R56]_', '', '.. rubric:: Examples', '', '', 'Generate random variates from a Gaussian distribution and return the', 'biweight scale of the distribution:', '', '>>> import numpy as np', '>>> from astropy.stats import biweight_scale', '>>> rand = np.random.RandomState(12345)', '>>> biscl = biweight_scale(rand.randn(1000))', '>>> print(biscl) # doctest: +FLOAT_CMP', '0.986726249291']:73: WARNING: py:obj reference target not found: False ['biweight_scale(data, c=9.0, M=None, axis=None, modify_sample_size=False)', ':module: astropy.stats.biweight', '', '', '', 'Compute the biweight scale.', '', 'The biweight scale is a robust statistic for determining the', 'standard deviation of a distribution. It is the square root of the', '`biweight midvariance', '`_.', 'It is given by:', '', '.. math::', '', ' \\zeta_{biscl} = \\sqrt{n} \\ \\frac{\\sqrt{\\Sigma_{|u_i| < 1} \\', ' (x_i - M)^2 (1 - u_i^2)^4}} {|(\\Sigma_{|u_i| < 1} \\', ' (1 - u_i^2) (1 - 5u_i^2))|}', '', 'where :math:`x` is the input data, :math:`M` is the sample median', '(or the input location) and :math:`u_i` is given by:', '', '.. math::', '', ' u_{i} = \\frac{(x_i - M)}{c * MAD}', '', 'where :math:`c` is the tuning constant and :math:`MAD` is the', '`median absolute deviation', '`_. The', 'biweight midvariance tuning constant ``c`` is typically 9.0 (the', 'default).', '', 'For the standard definition of biweight scale, :math:`n` is the', 'total number of points in the array (or along the input ``axis``, if', 'specified). That definition is used if ``modify_sample_size`` is', '`False`, which is the default.', '', 'However, if ``modify_sample_size = True``, then :math:`n` is the', 'number of points for which :math:`|u_i| < 1` (i.e. the total number', 'of non-rejected values), i.e.', '', '.. math::', '', ' n = \\Sigma_{|u_i| < 1} \\ 1', '', 'which results in a value closer to the true standard deviation for', 'small sample sizes or for a large number of rejected values.', '', ':Parameters:', '', ' **data** : array-like', '', ' Input array or object that can be converted to an array.', '', ' **c** : float, optional', '', ' Tuning constant for the biweight estimator (default = 9.0).', '', ' **M** : float or array-like, optional', '', ' The location estimate. If ``M`` is a scalar value, then its', ' value will be used for the entire array (or along each ``axis``,', ' if specified). If ``M`` is an array, then its must be an array', ' containing the location estimate along each ``axis`` of the', ' input array. If `None` (default), then the median of the input', ' array will be used (or along each ``axis``, if specified).', '', ' **axis** : int, optional', '', ' The axis along which the biweight scales are computed. If', ' `None` (default), then the biweight scale of the flattened input', ' array will be computed.', '', ' **modify_sample_size** : bool, optional', '', ' If `False` (default), then the sample size used is the total', ' number of elements in the array (or along the input ``axis``, if', ' specified), which follows the standard definition of biweight', ' scale. If `True`, then the sample size is reduced to correct', ' for any rejected values (i.e. the sample size used includes only', ' the non-rejected values), which results in a value closer to the', ' true standard deviation for small sample sizes or for a large', ' number of rejected values.', '', ':Returns:', '', ' **biweight_scale** : float or `~numpy.ndarray`', '', ' The biweight scale of the input data. If ``axis`` is `None`', ' then a scalar will be returned, otherwise a `~numpy.ndarray`', ' will be returned.', '', '.. seealso::', '', ' ', ' :obj:`biweight_midvariance`, :obj:`biweight_midcovariance`, :obj:`biweight_location`, :obj:`astropy.stats.mad_std`, :obj:`astropy.stats.median_absolute_deviation`', ' ', '.. rubric:: References', '', '.. [R55] Beers, Flynn, and Gebhardt (1990; AJ 100, 32) (http://adsabs.harvard.edu/abs/1990AJ....100...32B)', '', '.. [R56] http://www.itl.nist.gov/div898/software/dataplot/refman2/auxillar/biwscale.htm', '', '.. only:: latex', '', ' [R55]_, [R56]_', '', '.. rubric:: Examples', '', '', 'Generate random variates from a Gaussian distribution and return the', 'biweight scale of the distribution:', '', '>>> import numpy as np', '>>> from astropy.stats import biweight_scale', '>>> rand = np.random.RandomState(12345)', '>>> biscl = biweight_scale(rand.randn(1000))', '>>> print(biscl) # doctest: +FLOAT_CMP', '0.986726249291']:73: WARNING: py:obj reference target not found: True ['biweight_scale(data, c=9.0, M=None, axis=None, modify_sample_size=False)', ':module: astropy.stats.biweight', '', '', '', 'Compute the biweight scale.', '', 'The biweight scale is a robust statistic for determining the', 'standard deviation of a distribution. It is the square root of the', '`biweight midvariance', '`_.', 'It is given by:', '', '.. math::', '', ' \\zeta_{biscl} = \\sqrt{n} \\ \\frac{\\sqrt{\\Sigma_{|u_i| < 1} \\', ' (x_i - M)^2 (1 - u_i^2)^4}} {|(\\Sigma_{|u_i| < 1} \\', ' (1 - u_i^2) (1 - 5u_i^2))|}', '', 'where :math:`x` is the input data, :math:`M` is the sample median', '(or the input location) and :math:`u_i` is given by:', '', '.. math::', '', ' u_{i} = \\frac{(x_i - M)}{c * MAD}', '', 'where :math:`c` is the tuning constant and :math:`MAD` is the', '`median absolute deviation', '`_. The', 'biweight midvariance tuning constant ``c`` is typically 9.0 (the', 'default).', '', 'For the standard definition of biweight scale, :math:`n` is the', 'total number of points in the array (or along the input ``axis``, if', 'specified). That definition is used if ``modify_sample_size`` is', '`False`, which is the default.', '', 'However, if ``modify_sample_size = True``, then :math:`n` is the', 'number of points for which :math:`|u_i| < 1` (i.e. the total number', 'of non-rejected values), i.e.', '', '.. math::', '', ' n = \\Sigma_{|u_i| < 1} \\ 1', '', 'which results in a value closer to the true standard deviation for', 'small sample sizes or for a large number of rejected values.', '', ':Parameters:', '', ' **data** : array-like', '', ' Input array or object that can be converted to an array.', '', ' **c** : float, optional', '', ' Tuning constant for the biweight estimator (default = 9.0).', '', ' **M** : float or array-like, optional', '', ' The location estimate. If ``M`` is a scalar value, then its', ' value will be used for the entire array (or along each ``axis``,', ' if specified). If ``M`` is an array, then its must be an array', ' containing the location estimate along each ``axis`` of the', ' input array. If `None` (default), then the median of the input', ' array will be used (or along each ``axis``, if specified).', '', ' **axis** : int, optional', '', ' The axis along which the biweight scales are computed. If', ' `None` (default), then the biweight scale of the flattened input', ' array will be computed.', '', ' **modify_sample_size** : bool, optional', '', ' If `False` (default), then the sample size used is the total', ' number of elements in the array (or along the input ``axis``, if', ' specified), which follows the standard definition of biweight', ' scale. If `True`, then the sample size is reduced to correct', ' for any rejected values (i.e. the sample size used includes only', ' the non-rejected values), which results in a value closer to the', ' true standard deviation for small sample sizes or for a large', ' number of rejected values.', '', ':Returns:', '', ' **biweight_scale** : float or `~numpy.ndarray`', '', ' The biweight scale of the input data. If ``axis`` is `None`', ' then a scalar will be returned, otherwise a `~numpy.ndarray`', ' will be returned.', '', '.. seealso::', '', ' ', ' :obj:`biweight_midvariance`, :obj:`biweight_midcovariance`, :obj:`biweight_location`, :obj:`astropy.stats.mad_std`, :obj:`astropy.stats.median_absolute_deviation`', ' ', '.. rubric:: References', '', '.. [R55] Beers, Flynn, and Gebhardt (1990; AJ 100, 32) (http://adsabs.harvard.edu/abs/1990AJ....100...32B)', '', '.. [R56] http://www.itl.nist.gov/div898/software/dataplot/refman2/auxillar/biwscale.htm', '', '.. only:: latex', '', ' [R55]_, [R56]_', '', '.. rubric:: Examples', '', '', 'Generate random variates from a Gaussian distribution and return the', 'biweight scale of the distribution:', '', '>>> import numpy as np', '>>> from astropy.stats import biweight_scale', '>>> rand = np.random.RandomState(12345)', '>>> biscl = biweight_scale(rand.randn(1000))', '>>> print(biscl) # doctest: +FLOAT_CMP', '0.986726249291']:84: WARNING: py:obj reference target not found: numpy.ndarray ['biweight_scale(data, c=9.0, M=None, axis=None, modify_sample_size=False)', ':module: astropy.stats.biweight', '', '', '', 'Compute the biweight scale.', '', 'The biweight scale is a robust statistic for determining the', 'standard deviation of a distribution. It is the square root of the', '`biweight midvariance', '`_.', 'It is given by:', '', '.. math::', '', ' \\zeta_{biscl} = \\sqrt{n} \\ \\frac{\\sqrt{\\Sigma_{|u_i| < 1} \\', ' (x_i - M)^2 (1 - u_i^2)^4}} {|(\\Sigma_{|u_i| < 1} \\', ' (1 - u_i^2) (1 - 5u_i^2))|}', '', 'where :math:`x` is the input data, :math:`M` is the sample median', '(or the input location) and :math:`u_i` is given by:', '', '.. math::', '', ' u_{i} = \\frac{(x_i - M)}{c * MAD}', '', 'where :math:`c` is the tuning constant and :math:`MAD` is the', '`median absolute deviation', '`_. The', 'biweight midvariance tuning constant ``c`` is typically 9.0 (the', 'default).', '', 'For the standard definition of biweight scale, :math:`n` is the', 'total number of points in the array (or along the input ``axis``, if', 'specified). That definition is used if ``modify_sample_size`` is', '`False`, which is the default.', '', 'However, if ``modify_sample_size = True``, then :math:`n` is the', 'number of points for which :math:`|u_i| < 1` (i.e. the total number', 'of non-rejected values), i.e.', '', '.. math::', '', ' n = \\Sigma_{|u_i| < 1} \\ 1', '', 'which results in a value closer to the true standard deviation for', 'small sample sizes or for a large number of rejected values.', '', ':Parameters:', '', ' **data** : array-like', '', ' Input array or object that can be converted to an array.', '', ' **c** : float, optional', '', ' Tuning constant for the biweight estimator (default = 9.0).', '', ' **M** : float or array-like, optional', '', ' The location estimate. If ``M`` is a scalar value, then its', ' value will be used for the entire array (or along each ``axis``,', ' if specified). If ``M`` is an array, then its must be an array', ' containing the location estimate along each ``axis`` of the', ' input array. If `None` (default), then the median of the input', ' array will be used (or along each ``axis``, if specified).', '', ' **axis** : int, optional', '', ' The axis along which the biweight scales are computed. If', ' `None` (default), then the biweight scale of the flattened input', ' array will be computed.', '', ' **modify_sample_size** : bool, optional', '', ' If `False` (default), then the sample size used is the total', ' number of elements in the array (or along the input ``axis``, if', ' specified), which follows the standard definition of biweight', ' scale. If `True`, then the sample size is reduced to correct', ' for any rejected values (i.e. the sample size used includes only', ' the non-rejected values), which results in a value closer to the', ' true standard deviation for small sample sizes or for a large', ' number of rejected values.', '', ':Returns:', '', ' **biweight_scale** : float or `~numpy.ndarray`', '', ' The biweight scale of the input data. If ``axis`` is `None`', ' then a scalar will be returned, otherwise a `~numpy.ndarray`', ' will be returned.', '', '.. seealso::', '', ' ', ' :obj:`biweight_midvariance`, :obj:`biweight_midcovariance`, :obj:`biweight_location`, :obj:`astropy.stats.mad_std`, :obj:`astropy.stats.median_absolute_deviation`', ' ', '.. rubric:: References', '', '.. [R55] Beers, Flynn, and Gebhardt (1990; AJ 100, 32) (http://adsabs.harvard.edu/abs/1990AJ....100...32B)', '', '.. [R56] http://www.itl.nist.gov/div898/software/dataplot/refman2/auxillar/biwscale.htm', '', '.. only:: latex', '', ' [R55]_, [R56]_', '', '.. rubric:: Examples', '', '', 'Generate random variates from a Gaussian distribution and return the', 'biweight scale of the distribution:', '', '>>> import numpy as np', '>>> from astropy.stats import biweight_scale', '>>> rand = np.random.RandomState(12345)', '>>> biscl = biweight_scale(rand.randn(1000))', '>>> print(biscl) # doctest: +FLOAT_CMP', '0.986726249291']:86: WARNING: py:obj reference target not found: None ['biweight_scale(data, c=9.0, M=None, axis=None, modify_sample_size=False)', ':module: astropy.stats.biweight', '', '', '', 'Compute the biweight scale.', '', 'The biweight scale is a robust statistic for determining the', 'standard deviation of a distribution. It is the square root of the', '`biweight midvariance', '`_.', 'It is given by:', '', '.. math::', '', ' \\zeta_{biscl} = \\sqrt{n} \\ \\frac{\\sqrt{\\Sigma_{|u_i| < 1} \\', ' (x_i - M)^2 (1 - u_i^2)^4}} {|(\\Sigma_{|u_i| < 1} \\', ' (1 - u_i^2) (1 - 5u_i^2))|}', '', 'where :math:`x` is the input data, :math:`M` is the sample median', '(or the input location) and :math:`u_i` is given by:', '', '.. math::', '', ' u_{i} = \\frac{(x_i - M)}{c * MAD}', '', 'where :math:`c` is the tuning constant and :math:`MAD` is the', '`median absolute deviation', '`_. The', 'biweight midvariance tuning constant ``c`` is typically 9.0 (the', 'default).', '', 'For the standard definition of biweight scale, :math:`n` is the', 'total number of points in the array (or along the input ``axis``, if', 'specified). That definition is used if ``modify_sample_size`` is', '`False`, which is the default.', '', 'However, if ``modify_sample_size = True``, then :math:`n` is the', 'number of points for which :math:`|u_i| < 1` (i.e. the total number', 'of non-rejected values), i.e.', '', '.. math::', '', ' n = \\Sigma_{|u_i| < 1} \\ 1', '', 'which results in a value closer to the true standard deviation for', 'small sample sizes or for a large number of rejected values.', '', ':Parameters:', '', ' **data** : array-like', '', ' Input array or object that can be converted to an array.', '', ' **c** : float, optional', '', ' Tuning constant for the biweight estimator (default = 9.0).', '', ' **M** : float or array-like, optional', '', ' The location estimate. If ``M`` is a scalar value, then its', ' value will be used for the entire array (or along each ``axis``,', ' if specified). If ``M`` is an array, then its must be an array', ' containing the location estimate along each ``axis`` of the', ' input array. If `None` (default), then the median of the input', ' array will be used (or along each ``axis``, if specified).', '', ' **axis** : int, optional', '', ' The axis along which the biweight scales are computed. If', ' `None` (default), then the biweight scale of the flattened input', ' array will be computed.', '', ' **modify_sample_size** : bool, optional', '', ' If `False` (default), then the sample size used is the total', ' number of elements in the array (or along the input ``axis``, if', ' specified), which follows the standard definition of biweight', ' scale. If `True`, then the sample size is reduced to correct', ' for any rejected values (i.e. the sample size used includes only', ' the non-rejected values), which results in a value closer to the', ' true standard deviation for small sample sizes or for a large', ' number of rejected values.', '', ':Returns:', '', ' **biweight_scale** : float or `~numpy.ndarray`', '', ' The biweight scale of the input data. If ``axis`` is `None`', ' then a scalar will be returned, otherwise a `~numpy.ndarray`', ' will be returned.', '', '.. seealso::', '', ' ', ' :obj:`biweight_midvariance`, :obj:`biweight_midcovariance`, :obj:`biweight_location`, :obj:`astropy.stats.mad_std`, :obj:`astropy.stats.median_absolute_deviation`', ' ', '.. rubric:: References', '', '.. [R55] Beers, Flynn, and Gebhardt (1990; AJ 100, 32) (http://adsabs.harvard.edu/abs/1990AJ....100...32B)', '', '.. [R56] http://www.itl.nist.gov/div898/software/dataplot/refman2/auxillar/biwscale.htm', '', '.. only:: latex', '', ' [R55]_, [R56]_', '', '.. rubric:: Examples', '', '', 'Generate random variates from a Gaussian distribution and return the', 'biweight scale of the distribution:', '', '>>> import numpy as np', '>>> from astropy.stats import biweight_scale', '>>> rand = np.random.RandomState(12345)', '>>> biscl = biweight_scale(rand.randn(1000))', '>>> print(biscl) # doctest: +FLOAT_CMP', '0.986726249291']:86: WARNING: py:obj reference target not found: numpy.ndarray ['biweight_location(data, c=6.0, M=None, axis=None)', ':module: astropy.stats', '', '', '', 'Compute the biweight location.', '', 'The biweight location is a robust statistic for determining the', 'central location of a distribution. It is given by:', '', '.. math::', '', ' \\zeta_{biloc}= M + \\frac{\\Sigma_{|u_i|<1} \\ (x_i - M) (1 - u_i^2)^2}', ' {\\Sigma_{|u_i|<1} \\ (1 - u_i^2)^2}', '', 'where :math:`x` is the input data, :math:`M` is the sample median', '(or the input initial location guess) and :math:`u_i` is given by:', '', '.. math::', '', ' u_{i} = \\frac{(x_i - M)}{c * MAD}', '', 'where :math:`c` is the tuning constant and :math:`MAD` is the', '`median absolute deviation', '`_. The', 'biweight location tuning constant ``c`` is typically 6.0 (the', 'default).', '', ':Parameters:', '', ' **data** : array-like', '', ' Input array or object that can be converted to an array.', '', ' **c** : float, optional', '', ' Tuning constant for the biweight estimator (default = 6.0).', '', ' **M** : float or array-like, optional', '', ' Initial guess for the location. If ``M`` is a scalar value,', ' then its value will be used for the entire array (or along each', ' ``axis``, if specified). If ``M`` is an array, then its must be', ' an array containing the initial location estimate along each', ' ``axis`` of the input array. If `None` (default), then the', ' median of the input array will be used (or along each ``axis``,', ' if specified).', '', ' **axis** : int, optional', '', ' The axis along which the biweight locations are computed. If', ' `None` (default), then the biweight location of the flattened', ' input array will be computed.', '', ':Returns:', '', ' **biweight_location** : float or `~numpy.ndarray`', '', ' The biweight location of the input data. If ``axis`` is `None`', ' then a scalar will be returned, otherwise a `~numpy.ndarray`', ' will be returned.', '', '.. seealso::', '', ' ', ' :obj:`biweight_scale`, :obj:`biweight_midvariance`, :obj:`biweight_midcovariance`', ' ', '.. rubric:: References', '', '.. [R57] Beers, Flynn, and Gebhardt (1990; AJ 100, 32) (http://adsabs.harvard.edu/abs/1990AJ....100...32B)', '', '.. [R58] http://www.itl.nist.gov/div898/software/dataplot/refman2/auxillar/biwloc.htm', '', '.. only:: latex', '', ' [R57]_, [R58]_', '', '.. rubric:: Examples', '', '', 'Generate random variates from a Gaussian distribution and return the', 'biweight location of the distribution:', '', '>>> import numpy as np', '>>> from astropy.stats import biweight_location', '>>> rand = np.random.RandomState(12345)', '>>> biloc = biweight_location(rand.randn(1000))', '>>> print(biloc) # doctest: +FLOAT_CMP', '-0.0175741540445']:38: WARNING: py:obj reference target not found: None ['biweight_location(data, c=6.0, M=None, axis=None)', ':module: astropy.stats', '', '', '', 'Compute the biweight location.', '', 'The biweight location is a robust statistic for determining the', 'central location of a distribution. It is given by:', '', '.. math::', '', ' \\zeta_{biloc}= M + \\frac{\\Sigma_{|u_i|<1} \\ (x_i - M) (1 - u_i^2)^2}', ' {\\Sigma_{|u_i|<1} \\ (1 - u_i^2)^2}', '', 'where :math:`x` is the input data, :math:`M` is the sample median', '(or the input initial location guess) and :math:`u_i` is given by:', '', '.. math::', '', ' u_{i} = \\frac{(x_i - M)}{c * MAD}', '', 'where :math:`c` is the tuning constant and :math:`MAD` is the', '`median absolute deviation', '`_. The', 'biweight location tuning constant ``c`` is typically 6.0 (the', 'default).', '', ':Parameters:', '', ' **data** : array-like', '', ' Input array or object that can be converted to an array.', '', ' **c** : float, optional', '', ' Tuning constant for the biweight estimator (default = 6.0).', '', ' **M** : float or array-like, optional', '', ' Initial guess for the location. If ``M`` is a scalar value,', ' then its value will be used for the entire array (or along each', ' ``axis``, if specified). If ``M`` is an array, then its must be', ' an array containing the initial location estimate along each', ' ``axis`` of the input array. If `None` (default), then the', ' median of the input array will be used (or along each ``axis``,', ' if specified).', '', ' **axis** : int, optional', '', ' The axis along which the biweight locations are computed. If', ' `None` (default), then the biweight location of the flattened', ' input array will be computed.', '', ':Returns:', '', ' **biweight_location** : float or `~numpy.ndarray`', '', ' The biweight location of the input data. If ``axis`` is `None`', ' then a scalar will be returned, otherwise a `~numpy.ndarray`', ' will be returned.', '', '.. seealso::', '', ' ', ' :obj:`biweight_scale`, :obj:`biweight_midvariance`, :obj:`biweight_midcovariance`', ' ', '.. rubric:: References', '', '.. [R57] Beers, Flynn, and Gebhardt (1990; AJ 100, 32) (http://adsabs.harvard.edu/abs/1990AJ....100...32B)', '', '.. [R58] http://www.itl.nist.gov/div898/software/dataplot/refman2/auxillar/biwloc.htm', '', '.. only:: latex', '', ' [R57]_, [R58]_', '', '.. rubric:: Examples', '', '', 'Generate random variates from a Gaussian distribution and return the', 'biweight location of the distribution:', '', '>>> import numpy as np', '>>> from astropy.stats import biweight_location', '>>> rand = np.random.RandomState(12345)', '>>> biloc = biweight_location(rand.randn(1000))', '>>> print(biloc) # doctest: +FLOAT_CMP', '-0.0175741540445']:48: WARNING: py:obj reference target not found: None ['biweight_location(data, c=6.0, M=None, axis=None)', ':module: astropy.stats', '', '', '', 'Compute the biweight location.', '', 'The biweight location is a robust statistic for determining the', 'central location of a distribution. It is given by:', '', '.. math::', '', ' \\zeta_{biloc}= M + \\frac{\\Sigma_{|u_i|<1} \\ (x_i - M) (1 - u_i^2)^2}', ' {\\Sigma_{|u_i|<1} \\ (1 - u_i^2)^2}', '', 'where :math:`x` is the input data, :math:`M` is the sample median', '(or the input initial location guess) and :math:`u_i` is given by:', '', '.. math::', '', ' u_{i} = \\frac{(x_i - M)}{c * MAD}', '', 'where :math:`c` is the tuning constant and :math:`MAD` is the', '`median absolute deviation', '`_. The', 'biweight location tuning constant ``c`` is typically 6.0 (the', 'default).', '', ':Parameters:', '', ' **data** : array-like', '', ' Input array or object that can be converted to an array.', '', ' **c** : float, optional', '', ' Tuning constant for the biweight estimator (default = 6.0).', '', ' **M** : float or array-like, optional', '', ' Initial guess for the location. If ``M`` is a scalar value,', ' then its value will be used for the entire array (or along each', ' ``axis``, if specified). If ``M`` is an array, then its must be', ' an array containing the initial location estimate along each', ' ``axis`` of the input array. If `None` (default), then the', ' median of the input array will be used (or along each ``axis``,', ' if specified).', '', ' **axis** : int, optional', '', ' The axis along which the biweight locations are computed. If', ' `None` (default), then the biweight location of the flattened', ' input array will be computed.', '', ':Returns:', '', ' **biweight_location** : float or `~numpy.ndarray`', '', ' The biweight location of the input data. If ``axis`` is `None`', ' then a scalar will be returned, otherwise a `~numpy.ndarray`', ' will be returned.', '', '.. seealso::', '', ' ', ' :obj:`biweight_scale`, :obj:`biweight_midvariance`, :obj:`biweight_midcovariance`', ' ', '.. rubric:: References', '', '.. [R57] Beers, Flynn, and Gebhardt (1990; AJ 100, 32) (http://adsabs.harvard.edu/abs/1990AJ....100...32B)', '', '.. [R58] http://www.itl.nist.gov/div898/software/dataplot/refman2/auxillar/biwloc.htm', '', '.. only:: latex', '', ' [R57]_, [R58]_', '', '.. rubric:: Examples', '', '', 'Generate random variates from a Gaussian distribution and return the', 'biweight location of the distribution:', '', '>>> import numpy as np', '>>> from astropy.stats import biweight_location', '>>> rand = np.random.RandomState(12345)', '>>> biloc = biweight_location(rand.randn(1000))', '>>> print(biloc) # doctest: +FLOAT_CMP', '-0.0175741540445']:54: WARNING: py:obj reference target not found: numpy.ndarray ['biweight_location(data, c=6.0, M=None, axis=None)', ':module: astropy.stats', '', '', '', 'Compute the biweight location.', '', 'The biweight location is a robust statistic for determining the', 'central location of a distribution. It is given by:', '', '.. math::', '', ' \\zeta_{biloc}= M + \\frac{\\Sigma_{|u_i|<1} \\ (x_i - M) (1 - u_i^2)^2}', ' {\\Sigma_{|u_i|<1} \\ (1 - u_i^2)^2}', '', 'where :math:`x` is the input data, :math:`M` is the sample median', '(or the input initial location guess) and :math:`u_i` is given by:', '', '.. math::', '', ' u_{i} = \\frac{(x_i - M)}{c * MAD}', '', 'where :math:`c` is the tuning constant and :math:`MAD` is the', '`median absolute deviation', '`_. The', 'biweight location tuning constant ``c`` is typically 6.0 (the', 'default).', '', ':Parameters:', '', ' **data** : array-like', '', ' Input array or object that can be converted to an array.', '', ' **c** : float, optional', '', ' Tuning constant for the biweight estimator (default = 6.0).', '', ' **M** : float or array-like, optional', '', ' Initial guess for the location. If ``M`` is a scalar value,', ' then its value will be used for the entire array (or along each', ' ``axis``, if specified). If ``M`` is an array, then its must be', ' an array containing the initial location estimate along each', ' ``axis`` of the input array. If `None` (default), then the', ' median of the input array will be used (or along each ``axis``,', ' if specified).', '', ' **axis** : int, optional', '', ' The axis along which the biweight locations are computed. If', ' `None` (default), then the biweight location of the flattened', ' input array will be computed.', '', ':Returns:', '', ' **biweight_location** : float or `~numpy.ndarray`', '', ' The biweight location of the input data. If ``axis`` is `None`', ' then a scalar will be returned, otherwise a `~numpy.ndarray`', ' will be returned.', '', '.. seealso::', '', ' ', ' :obj:`biweight_scale`, :obj:`biweight_midvariance`, :obj:`biweight_midcovariance`', ' ', '.. rubric:: References', '', '.. [R57] Beers, Flynn, and Gebhardt (1990; AJ 100, 32) (http://adsabs.harvard.edu/abs/1990AJ....100...32B)', '', '.. [R58] http://www.itl.nist.gov/div898/software/dataplot/refman2/auxillar/biwloc.htm', '', '.. only:: latex', '', ' [R57]_, [R58]_', '', '.. rubric:: Examples', '', '', 'Generate random variates from a Gaussian distribution and return the', 'biweight location of the distribution:', '', '>>> import numpy as np', '>>> from astropy.stats import biweight_location', '>>> rand = np.random.RandomState(12345)', '>>> biloc = biweight_location(rand.randn(1000))', '>>> print(biloc) # doctest: +FLOAT_CMP', '-0.0175741540445']:56: WARNING: py:obj reference target not found: None ['biweight_location(data, c=6.0, M=None, axis=None)', ':module: astropy.stats', '', '', '', 'Compute the biweight location.', '', 'The biweight location is a robust statistic for determining the', 'central location of a distribution. It is given by:', '', '.. math::', '', ' \\zeta_{biloc}= M + \\frac{\\Sigma_{|u_i|<1} \\ (x_i - M) (1 - u_i^2)^2}', ' {\\Sigma_{|u_i|<1} \\ (1 - u_i^2)^2}', '', 'where :math:`x` is the input data, :math:`M` is the sample median', '(or the input initial location guess) and :math:`u_i` is given by:', '', '.. math::', '', ' u_{i} = \\frac{(x_i - M)}{c * MAD}', '', 'where :math:`c` is the tuning constant and :math:`MAD` is the', '`median absolute deviation', '`_. The', 'biweight location tuning constant ``c`` is typically 6.0 (the', 'default).', '', ':Parameters:', '', ' **data** : array-like', '', ' Input array or object that can be converted to an array.', '', ' **c** : float, optional', '', ' Tuning constant for the biweight estimator (default = 6.0).', '', ' **M** : float or array-like, optional', '', ' Initial guess for the location. If ``M`` is a scalar value,', ' then its value will be used for the entire array (or along each', ' ``axis``, if specified). If ``M`` is an array, then its must be', ' an array containing the initial location estimate along each', ' ``axis`` of the input array. If `None` (default), then the', ' median of the input array will be used (or along each ``axis``,', ' if specified).', '', ' **axis** : int, optional', '', ' The axis along which the biweight locations are computed. If', ' `None` (default), then the biweight location of the flattened', ' input array will be computed.', '', ':Returns:', '', ' **biweight_location** : float or `~numpy.ndarray`', '', ' The biweight location of the input data. If ``axis`` is `None`', ' then a scalar will be returned, otherwise a `~numpy.ndarray`', ' will be returned.', '', '.. seealso::', '', ' ', ' :obj:`biweight_scale`, :obj:`biweight_midvariance`, :obj:`biweight_midcovariance`', ' ', '.. rubric:: References', '', '.. [R57] Beers, Flynn, and Gebhardt (1990; AJ 100, 32) (http://adsabs.harvard.edu/abs/1990AJ....100...32B)', '', '.. [R58] http://www.itl.nist.gov/div898/software/dataplot/refman2/auxillar/biwloc.htm', '', '.. only:: latex', '', ' [R57]_, [R58]_', '', '.. rubric:: Examples', '', '', 'Generate random variates from a Gaussian distribution and return the', 'biweight location of the distribution:', '', '>>> import numpy as np', '>>> from astropy.stats import biweight_location', '>>> rand = np.random.RandomState(12345)', '>>> biloc = biweight_location(rand.randn(1000))', '>>> print(biloc) # doctest: +FLOAT_CMP', '-0.0175741540445']:56: WARNING: py:obj reference target not found: numpy.ndarray ['biweight_midcorrelation(x, y, c=9.0, M=None, modify_sample_size=False)', ':module: astropy.stats', '', '', '', 'Compute the biweight midcorrelation between two variables.', '', 'The `biweight midcorrelation', '`_ is a', 'measure of similarity between samples. It is given by:', '', '.. math::', '', ' r_{bicorr} = \\frac{\\zeta_{xy}}{\\sqrt{\\zeta_{xx} \\ \\zeta_{yy}}}', '', 'where :math:`\\zeta_{xx}` is the biweight midvariance of :math:`x`,', ':math:`\\zeta_{yy}` is the biweight midvariance of :math:`y`, and', ':math:`\\zeta_{xy}` is the biweight midcovariance of :math:`x` and', ':math:`y`.', '', ':Parameters:', '', ' **x, y** : 1D array-like', '', ' Input arrays for the two variables. ``x`` and ``y`` must be 1D', ' arrays and have the same number of elements.', '', ' **c** : float, optional', '', ' Tuning constant for the biweight estimator (default = 9.0). See', ' `biweight_midcovariance` for more details.', '', ' **M** : float or array-like, optional', '', ' The location estimate. If ``M`` is a scalar value, then its', ' value will be used for the entire array (or along each ``axis``,', ' if specified). If ``M`` is an array, then its must be an array', ' containing the location estimate along each ``axis`` of the', ' input array. If `None` (default), then the median of the input', ' array will be used (or along each ``axis``, if specified). See', ' `biweight_midcovariance` for more details.', '', ' **modify_sample_size** : bool, optional', '', ' If `False` (default), then the sample size used is the total', ' number of elements in the array (or along the input ``axis``, if', ' specified), which follows the standard definition of biweight', ' midcovariance. If `True`, then the sample size is reduced to', ' correct for any rejected values (i.e. the sample size used', ' includes only the non-rejected values), which results in a value', ' closer to the true midcovariance for small sample sizes or for a', ' large number of rejected values. See `biweight_midcovariance`', ' for more details.', '', ':Returns:', '', ' **biweight_midcorrelation** : float', '', ' The biweight midcorrelation between ``x`` and ``y``.', '', '.. seealso::', '', ' ', ' :obj:`biweight_scale`, :obj:`biweight_midvariance`, :obj:`biweight_midcovariance`, :obj:`biweight_location`', ' ', '.. rubric:: References', '', '.. [R59] https://en.wikipedia.org/wiki/Biweight_midcorrelation', '', '.. only:: latex', '', ' [R59]_', '', '.. rubric:: Examples', '', '', 'Calculate the biweight midcorrelation between two variables:', '', '>>> import numpy as np', '>>> from astropy.stats import biweight_midcorrelation', '>>> rng = np.random.RandomState(12345)', '>>> x = rng.normal(0, 1, 200)', '>>> y = rng.normal(0, 3, 200)', '>>> # Introduce an obvious outlier', '>>> x[0] = 30.0', '>>> bicorr = biweight_midcorrelation(x, y)', '>>> print(bicorr) # doctest: +FLOAT_CMP', '-0.0495780713907']:32: WARNING: py:obj reference target not found: None ['biweight_midcorrelation(x, y, c=9.0, M=None, modify_sample_size=False)', ':module: astropy.stats', '', '', '', 'Compute the biweight midcorrelation between two variables.', '', 'The `biweight midcorrelation', '`_ is a', 'measure of similarity between samples. It is given by:', '', '.. math::', '', ' r_{bicorr} = \\frac{\\zeta_{xy}}{\\sqrt{\\zeta_{xx} \\ \\zeta_{yy}}}', '', 'where :math:`\\zeta_{xx}` is the biweight midvariance of :math:`x`,', ':math:`\\zeta_{yy}` is the biweight midvariance of :math:`y`, and', ':math:`\\zeta_{xy}` is the biweight midcovariance of :math:`x` and', ':math:`y`.', '', ':Parameters:', '', ' **x, y** : 1D array-like', '', ' Input arrays for the two variables. ``x`` and ``y`` must be 1D', ' arrays and have the same number of elements.', '', ' **c** : float, optional', '', ' Tuning constant for the biweight estimator (default = 9.0). See', ' `biweight_midcovariance` for more details.', '', ' **M** : float or array-like, optional', '', ' The location estimate. If ``M`` is a scalar value, then its', ' value will be used for the entire array (or along each ``axis``,', ' if specified). If ``M`` is an array, then its must be an array', ' containing the location estimate along each ``axis`` of the', ' input array. If `None` (default), then the median of the input', ' array will be used (or along each ``axis``, if specified). See', ' `biweight_midcovariance` for more details.', '', ' **modify_sample_size** : bool, optional', '', ' If `False` (default), then the sample size used is the total', ' number of elements in the array (or along the input ``axis``, if', ' specified), which follows the standard definition of biweight', ' midcovariance. If `True`, then the sample size is reduced to', ' correct for any rejected values (i.e. the sample size used', ' includes only the non-rejected values), which results in a value', ' closer to the true midcovariance for small sample sizes or for a', ' large number of rejected values. See `biweight_midcovariance`', ' for more details.', '', ':Returns:', '', ' **biweight_midcorrelation** : float', '', ' The biweight midcorrelation between ``x`` and ``y``.', '', '.. seealso::', '', ' ', ' :obj:`biweight_scale`, :obj:`biweight_midvariance`, :obj:`biweight_midcovariance`, :obj:`biweight_location`', ' ', '.. rubric:: References', '', '.. [R59] https://en.wikipedia.org/wiki/Biweight_midcorrelation', '', '.. only:: latex', '', ' [R59]_', '', '.. rubric:: Examples', '', '', 'Calculate the biweight midcorrelation between two variables:', '', '>>> import numpy as np', '>>> from astropy.stats import biweight_midcorrelation', '>>> rng = np.random.RandomState(12345)', '>>> x = rng.normal(0, 1, 200)', '>>> y = rng.normal(0, 3, 200)', '>>> # Introduce an obvious outlier', '>>> x[0] = 30.0', '>>> bicorr = biweight_midcorrelation(x, y)', '>>> print(bicorr) # doctest: +FLOAT_CMP', '-0.0495780713907']:42: WARNING: py:obj reference target not found: False ['biweight_midcorrelation(x, y, c=9.0, M=None, modify_sample_size=False)', ':module: astropy.stats', '', '', '', 'Compute the biweight midcorrelation between two variables.', '', 'The `biweight midcorrelation', '`_ is a', 'measure of similarity between samples. It is given by:', '', '.. math::', '', ' r_{bicorr} = \\frac{\\zeta_{xy}}{\\sqrt{\\zeta_{xx} \\ \\zeta_{yy}}}', '', 'where :math:`\\zeta_{xx}` is the biweight midvariance of :math:`x`,', ':math:`\\zeta_{yy}` is the biweight midvariance of :math:`y`, and', ':math:`\\zeta_{xy}` is the biweight midcovariance of :math:`x` and', ':math:`y`.', '', ':Parameters:', '', ' **x, y** : 1D array-like', '', ' Input arrays for the two variables. ``x`` and ``y`` must be 1D', ' arrays and have the same number of elements.', '', ' **c** : float, optional', '', ' Tuning constant for the biweight estimator (default = 9.0). See', ' `biweight_midcovariance` for more details.', '', ' **M** : float or array-like, optional', '', ' The location estimate. If ``M`` is a scalar value, then its', ' value will be used for the entire array (or along each ``axis``,', ' if specified). If ``M`` is an array, then its must be an array', ' containing the location estimate along each ``axis`` of the', ' input array. If `None` (default), then the median of the input', ' array will be used (or along each ``axis``, if specified). See', ' `biweight_midcovariance` for more details.', '', ' **modify_sample_size** : bool, optional', '', ' If `False` (default), then the sample size used is the total', ' number of elements in the array (or along the input ``axis``, if', ' specified), which follows the standard definition of biweight', ' midcovariance. If `True`, then the sample size is reduced to', ' correct for any rejected values (i.e. the sample size used', ' includes only the non-rejected values), which results in a value', ' closer to the true midcovariance for small sample sizes or for a', ' large number of rejected values. See `biweight_midcovariance`', ' for more details.', '', ':Returns:', '', ' **biweight_midcorrelation** : float', '', ' The biweight midcorrelation between ``x`` and ``y``.', '', '.. seealso::', '', ' ', ' :obj:`biweight_scale`, :obj:`biweight_midvariance`, :obj:`biweight_midcovariance`, :obj:`biweight_location`', ' ', '.. rubric:: References', '', '.. [R59] https://en.wikipedia.org/wiki/Biweight_midcorrelation', '', '.. only:: latex', '', ' [R59]_', '', '.. rubric:: Examples', '', '', 'Calculate the biweight midcorrelation between two variables:', '', '>>> import numpy as np', '>>> from astropy.stats import biweight_midcorrelation', '>>> rng = np.random.RandomState(12345)', '>>> x = rng.normal(0, 1, 200)', '>>> y = rng.normal(0, 3, 200)', '>>> # Introduce an obvious outlier', '>>> x[0] = 30.0', '>>> bicorr = biweight_midcorrelation(x, y)', '>>> print(bicorr) # doctest: +FLOAT_CMP', '-0.0495780713907']:42: WARNING: py:obj reference target not found: True ['biweight_midcovariance(data, c=9.0, M=None, modify_sample_size=False)', ':module: astropy.stats', '', '', '', 'Compute the biweight midcovariance between pairs of multiple', 'variables.', '', 'The biweight midcovariance is a robust and resistant estimator of', 'the covariance between two variables.', '', 'This function computes the biweight midcovariance between all pairs', 'of the input variables (rows) in the input data. The output array', 'will have a shape of (N_variables, N_variables). The diagonal', 'elements will be the biweight midvariances of each input variable', '(see :func:`biweight_midvariance`). The off-diagonal elements will', 'be the biweight midcovariances between each pair of input variables.', '', 'For example, if the input array ``data`` contains three variables', '(rows) ``x``, ``y``, and ``z``, the output `~numpy.ndarray`', 'midcovariance matrix will be:', '', '.. math::', '', ' \\begin{pmatrix}', ' \\zeta_{xx} & \\zeta_{xy} & \\zeta_{xz} \\\\', ' \\zeta_{yx} & \\zeta_{yy} & \\zeta_{yz} \\\\', ' \\zeta_{zx} & \\zeta_{zy} & \\zeta_{zz}', ' \\end{pmatrix}', '', 'where :math:`\\zeta_{xx}`, :math:`\\zeta_{yy}`, and :math:`\\zeta_{zz}`', 'are the biweight midvariances of each variable. The biweight', 'midcovariance between :math:`x` and :math:`y` is :math:`\\zeta_{xy}`', '(:math:`= \\zeta_{yx}`). The biweight midcovariance between', ':math:`x` and :math:`z` is :math:`\\zeta_{xz}` (:math:`=', '\\zeta_{zx}`). The biweight midcovariance between :math:`y` and', ':math:`z` is :math:`\\zeta_{yz}` (:math:`= \\zeta_{zy}`).', '', 'The biweight midcovariance between two variables :math:`x` and', ':math:`y` is given by:', '', '.. math::', '', ' \\zeta_{xy} = n \\ \\frac{\\Sigma_{|u_i| < 1, \\ |v_i| < 1} \\', ' (x_i - M_x) (1 - u_i^2)^2 (y_i - M_y) (1 - v_i^2)^2}', ' {(\\Sigma_{|u_i| < 1} \\ (1 - u_i^2) (1 - 5u_i^2))', ' (\\Sigma_{|v_i| < 1} \\ (1 - v_i^2) (1 - 5v_i^2))}', '', 'where :math:`M_x` and :math:`M_y` are the medians (or the input', 'locations) of the two variables and :math:`u_i` and :math:`v_i` are', 'given by:', '', '.. math::', '', ' u_{i} = \\frac{(x_i - M_x)}{c * MAD_x}', '', ' v_{i} = \\frac{(y_i - M_y)}{c * MAD_y}', '', 'where :math:`c` is the biweight tuning constant and :math:`MAD_x`', 'and :math:`MAD_y` are the `median absolute deviation', '`_ of the', ':math:`x` and :math:`y` variables. The biweight midvariance tuning', 'constant ``c`` is typically 9.0 (the default).', '', 'For the standard definition of biweight midcovariance :math:`n` is', 'the total number of observations of each variable. That definition', 'is used if ``modify_sample_size`` is `False`, which is the default.', '', 'However, if ``modify_sample_size = True``, then :math:`n` is the', 'number of observations for which :math:`|u_i| < 1` and :math:`|v_i|', '< 1`, i.e.', '', '.. math::', '', ' n = \\Sigma_{|u_i| < 1, \\ |v_i| < 1} \\ 1', '', 'which results in a value closer to the true variance for small', 'sample sizes or for a large number of rejected values.', '', ':Parameters:', '', ' **data** : 2D or 1D array-like', '', ' Input data either as a 2D or 1D array. For a 2D array, it', ' should have a shape (N_variables, N_observations). A 1D array', ' may be input for observations of a single variable, in which', ' case the biweight midvariance will be calculated (no', ' covariance). Each row of ``data`` represents a variable, and', ' each column a single observation of all those variables (same as', ' the `numpy.cov` convention).', ' ', '', ' **c** : float, optional', '', ' Tuning constant for the biweight estimator (default = 9.0).', ' ', '', ' **M** : float or 1D array-like, optional', '', ' The location estimate of each variable, either as a scalar or', ' array. If ``M`` is an array, then its must be a 1D array', ' containing the location estimate of each row (i.e. ``a.ndim``', ' elements). If ``M`` is a scalar value, then its value will be', ' used for each variable (row). If `None` (default), then the', ' median of each variable (row) will be used.', ' ', '', ' **modify_sample_size** : bool, optional', '', ' If `False` (default), then the sample size used is the total', ' number of observations of each variable, which follows the', ' standard definition of biweight midcovariance. If `True`, then', ' the sample size is reduced to correct for any rejected values', ' (see formula above), which results in a value closer to the true', ' covariance for small sample sizes or for a large number of', ' rejected values.', '', ':Returns:', '', ' **biweight_midcovariance** : `~numpy.ndarray`', '', ' A 2D array representing the biweight midcovariances between each', ' pair of the variables (rows) in the input array. The output', ' array will have a shape of (N_variables, N_variables). The', ' diagonal elements will be the biweight midvariances of each', ' input variable. The off-diagonal elements will be the biweight', ' midcovariances between each pair of input variables.', '', '.. seealso::', '', ' ', ' :obj:`biweight_midvariance`, :obj:`biweight_midcorrelation`, :obj:`biweight_scale`, :obj:`biweight_location`', ' ', '.. rubric:: References', '', '.. [R60] http://www.itl.nist.gov/div898/software/dataplot/refman2/auxillar/biwmidc.htm', '', '.. only:: latex', '', ' [R60]_', '', '.. rubric:: Examples', '', '', 'Compute the biweight midcovariance between two random variables:', '', '>>> import numpy as np', '>>> from astropy.stats import biweight_midcovariance', '>>> # Generate two random variables x and y', '>>> rng = np.random.RandomState(1)', '>>> x = rng.normal(0, 1, 200)', '>>> y = rng.normal(0, 3, 200)', '>>> # Introduce an obvious outlier', '>>> x[0] = 30.0', '>>> # Calculate the biweight midcovariances between x and y', '>>> bicov = biweight_midcovariance([x, y])', '>>> print(bicov) # doctest: +FLOAT_CMP', '[[ 0.82483155 -0.18961219]', ' [-0.18961219 9.80265764]]', '>>> # Print standard deviation estimates', '>>> print(np.sqrt(bicov.diagonal())) # doctest: +FLOAT_CMP', '[ 0.90820237 3.13091961]']:16: WARNING: py:obj reference target not found: numpy.ndarray ['biweight_midcovariance(data, c=9.0, M=None, modify_sample_size=False)', ':module: astropy.stats', '', '', '', 'Compute the biweight midcovariance between pairs of multiple', 'variables.', '', 'The biweight midcovariance is a robust and resistant estimator of', 'the covariance between two variables.', '', 'This function computes the biweight midcovariance between all pairs', 'of the input variables (rows) in the input data. The output array', 'will have a shape of (N_variables, N_variables). The diagonal', 'elements will be the biweight midvariances of each input variable', '(see :func:`biweight_midvariance`). The off-diagonal elements will', 'be the biweight midcovariances between each pair of input variables.', '', 'For example, if the input array ``data`` contains three variables', '(rows) ``x``, ``y``, and ``z``, the output `~numpy.ndarray`', 'midcovariance matrix will be:', '', '.. math::', '', ' \\begin{pmatrix}', ' \\zeta_{xx} & \\zeta_{xy} & \\zeta_{xz} \\\\', ' \\zeta_{yx} & \\zeta_{yy} & \\zeta_{yz} \\\\', ' \\zeta_{zx} & \\zeta_{zy} & \\zeta_{zz}', ' \\end{pmatrix}', '', 'where :math:`\\zeta_{xx}`, :math:`\\zeta_{yy}`, and :math:`\\zeta_{zz}`', 'are the biweight midvariances of each variable. The biweight', 'midcovariance between :math:`x` and :math:`y` is :math:`\\zeta_{xy}`', '(:math:`= \\zeta_{yx}`). The biweight midcovariance between', ':math:`x` and :math:`z` is :math:`\\zeta_{xz}` (:math:`=', '\\zeta_{zx}`). The biweight midcovariance between :math:`y` and', ':math:`z` is :math:`\\zeta_{yz}` (:math:`= \\zeta_{zy}`).', '', 'The biweight midcovariance between two variables :math:`x` and', ':math:`y` is given by:', '', '.. math::', '', ' \\zeta_{xy} = n \\ \\frac{\\Sigma_{|u_i| < 1, \\ |v_i| < 1} \\', ' (x_i - M_x) (1 - u_i^2)^2 (y_i - M_y) (1 - v_i^2)^2}', ' {(\\Sigma_{|u_i| < 1} \\ (1 - u_i^2) (1 - 5u_i^2))', ' (\\Sigma_{|v_i| < 1} \\ (1 - v_i^2) (1 - 5v_i^2))}', '', 'where :math:`M_x` and :math:`M_y` are the medians (or the input', 'locations) of the two variables and :math:`u_i` and :math:`v_i` are', 'given by:', '', '.. math::', '', ' u_{i} = \\frac{(x_i - M_x)}{c * MAD_x}', '', ' v_{i} = \\frac{(y_i - M_y)}{c * MAD_y}', '', 'where :math:`c` is the biweight tuning constant and :math:`MAD_x`', 'and :math:`MAD_y` are the `median absolute deviation', '`_ of the', ':math:`x` and :math:`y` variables. The biweight midvariance tuning', 'constant ``c`` is typically 9.0 (the default).', '', 'For the standard definition of biweight midcovariance :math:`n` is', 'the total number of observations of each variable. That definition', 'is used if ``modify_sample_size`` is `False`, which is the default.', '', 'However, if ``modify_sample_size = True``, then :math:`n` is the', 'number of observations for which :math:`|u_i| < 1` and :math:`|v_i|', '< 1`, i.e.', '', '.. math::', '', ' n = \\Sigma_{|u_i| < 1, \\ |v_i| < 1} \\ 1', '', 'which results in a value closer to the true variance for small', 'sample sizes or for a large number of rejected values.', '', ':Parameters:', '', ' **data** : 2D or 1D array-like', '', ' Input data either as a 2D or 1D array. For a 2D array, it', ' should have a shape (N_variables, N_observations). A 1D array', ' may be input for observations of a single variable, in which', ' case the biweight midvariance will be calculated (no', ' covariance). Each row of ``data`` represents a variable, and', ' each column a single observation of all those variables (same as', ' the `numpy.cov` convention).', ' ', '', ' **c** : float, optional', '', ' Tuning constant for the biweight estimator (default = 9.0).', ' ', '', ' **M** : float or 1D array-like, optional', '', ' The location estimate of each variable, either as a scalar or', ' array. If ``M`` is an array, then its must be a 1D array', ' containing the location estimate of each row (i.e. ``a.ndim``', ' elements). If ``M`` is a scalar value, then its value will be', ' used for each variable (row). If `None` (default), then the', ' median of each variable (row) will be used.', ' ', '', ' **modify_sample_size** : bool, optional', '', ' If `False` (default), then the sample size used is the total', ' number of observations of each variable, which follows the', ' standard definition of biweight midcovariance. If `True`, then', ' the sample size is reduced to correct for any rejected values', ' (see formula above), which results in a value closer to the true', ' covariance for small sample sizes or for a large number of', ' rejected values.', '', ':Returns:', '', ' **biweight_midcovariance** : `~numpy.ndarray`', '', ' A 2D array representing the biweight midcovariances between each', ' pair of the variables (rows) in the input array. The output', ' array will have a shape of (N_variables, N_variables). The', ' diagonal elements will be the biweight midvariances of each', ' input variable. The off-diagonal elements will be the biweight', ' midcovariances between each pair of input variables.', '', '.. seealso::', '', ' ', ' :obj:`biweight_midvariance`, :obj:`biweight_midcorrelation`, :obj:`biweight_scale`, :obj:`biweight_location`', ' ', '.. rubric:: References', '', '.. [R60] http://www.itl.nist.gov/div898/software/dataplot/refman2/auxillar/biwmidc.htm', '', '.. only:: latex', '', ' [R60]_', '', '.. rubric:: Examples', '', '', 'Compute the biweight midcovariance between two random variables:', '', '>>> import numpy as np', '>>> from astropy.stats import biweight_midcovariance', '>>> # Generate two random variables x and y', '>>> rng = np.random.RandomState(1)', '>>> x = rng.normal(0, 1, 200)', '>>> y = rng.normal(0, 3, 200)', '>>> # Introduce an obvious outlier', '>>> x[0] = 30.0', '>>> # Calculate the biweight midcovariances between x and y', '>>> bicov = biweight_midcovariance([x, y])', '>>> print(bicov) # doctest: +FLOAT_CMP', '[[ 0.82483155 -0.18961219]', ' [-0.18961219 9.80265764]]', '>>> # Print standard deviation estimates', '>>> print(np.sqrt(bicov.diagonal())) # doctest: +FLOAT_CMP', '[ 0.90820237 3.13091961]']:62: WARNING: py:obj reference target not found: False ['biweight_midcovariance(data, c=9.0, M=None, modify_sample_size=False)', ':module: astropy.stats', '', '', '', 'Compute the biweight midcovariance between pairs of multiple', 'variables.', '', 'The biweight midcovariance is a robust and resistant estimator of', 'the covariance between two variables.', '', 'This function computes the biweight midcovariance between all pairs', 'of the input variables (rows) in the input data. The output array', 'will have a shape of (N_variables, N_variables). The diagonal', 'elements will be the biweight midvariances of each input variable', '(see :func:`biweight_midvariance`). The off-diagonal elements will', 'be the biweight midcovariances between each pair of input variables.', '', 'For example, if the input array ``data`` contains three variables', '(rows) ``x``, ``y``, and ``z``, the output `~numpy.ndarray`', 'midcovariance matrix will be:', '', '.. math::', '', ' \\begin{pmatrix}', ' \\zeta_{xx} & \\zeta_{xy} & \\zeta_{xz} \\\\', ' \\zeta_{yx} & \\zeta_{yy} & \\zeta_{yz} \\\\', ' \\zeta_{zx} & \\zeta_{zy} & \\zeta_{zz}', ' \\end{pmatrix}', '', 'where :math:`\\zeta_{xx}`, :math:`\\zeta_{yy}`, and :math:`\\zeta_{zz}`', 'are the biweight midvariances of each variable. The biweight', 'midcovariance between :math:`x` and :math:`y` is :math:`\\zeta_{xy}`', '(:math:`= \\zeta_{yx}`). The biweight midcovariance between', ':math:`x` and :math:`z` is :math:`\\zeta_{xz}` (:math:`=', '\\zeta_{zx}`). The biweight midcovariance between :math:`y` and', ':math:`z` is :math:`\\zeta_{yz}` (:math:`= \\zeta_{zy}`).', '', 'The biweight midcovariance between two variables :math:`x` and', ':math:`y` is given by:', '', '.. math::', '', ' \\zeta_{xy} = n \\ \\frac{\\Sigma_{|u_i| < 1, \\ |v_i| < 1} \\', ' (x_i - M_x) (1 - u_i^2)^2 (y_i - M_y) (1 - v_i^2)^2}', ' {(\\Sigma_{|u_i| < 1} \\ (1 - u_i^2) (1 - 5u_i^2))', ' (\\Sigma_{|v_i| < 1} \\ (1 - v_i^2) (1 - 5v_i^2))}', '', 'where :math:`M_x` and :math:`M_y` are the medians (or the input', 'locations) of the two variables and :math:`u_i` and :math:`v_i` are', 'given by:', '', '.. math::', '', ' u_{i} = \\frac{(x_i - M_x)}{c * MAD_x}', '', ' v_{i} = \\frac{(y_i - M_y)}{c * MAD_y}', '', 'where :math:`c` is the biweight tuning constant and :math:`MAD_x`', 'and :math:`MAD_y` are the `median absolute deviation', '`_ of the', ':math:`x` and :math:`y` variables. The biweight midvariance tuning', 'constant ``c`` is typically 9.0 (the default).', '', 'For the standard definition of biweight midcovariance :math:`n` is', 'the total number of observations of each variable. That definition', 'is used if ``modify_sample_size`` is `False`, which is the default.', '', 'However, if ``modify_sample_size = True``, then :math:`n` is the', 'number of observations for which :math:`|u_i| < 1` and :math:`|v_i|', '< 1`, i.e.', '', '.. math::', '', ' n = \\Sigma_{|u_i| < 1, \\ |v_i| < 1} \\ 1', '', 'which results in a value closer to the true variance for small', 'sample sizes or for a large number of rejected values.', '', ':Parameters:', '', ' **data** : 2D or 1D array-like', '', ' Input data either as a 2D or 1D array. For a 2D array, it', ' should have a shape (N_variables, N_observations). A 1D array', ' may be input for observations of a single variable, in which', ' case the biweight midvariance will be calculated (no', ' covariance). Each row of ``data`` represents a variable, and', ' each column a single observation of all those variables (same as', ' the `numpy.cov` convention).', ' ', '', ' **c** : float, optional', '', ' Tuning constant for the biweight estimator (default = 9.0).', ' ', '', ' **M** : float or 1D array-like, optional', '', ' The location estimate of each variable, either as a scalar or', ' array. If ``M`` is an array, then its must be a 1D array', ' containing the location estimate of each row (i.e. ``a.ndim``', ' elements). If ``M`` is a scalar value, then its value will be', ' used for each variable (row). If `None` (default), then the', ' median of each variable (row) will be used.', ' ', '', ' **modify_sample_size** : bool, optional', '', ' If `False` (default), then the sample size used is the total', ' number of observations of each variable, which follows the', ' standard definition of biweight midcovariance. If `True`, then', ' the sample size is reduced to correct for any rejected values', ' (see formula above), which results in a value closer to the true', ' covariance for small sample sizes or for a large number of', ' rejected values.', '', ':Returns:', '', ' **biweight_midcovariance** : `~numpy.ndarray`', '', ' A 2D array representing the biweight midcovariances between each', ' pair of the variables (rows) in the input array. The output', ' array will have a shape of (N_variables, N_variables). The', ' diagonal elements will be the biweight midvariances of each', ' input variable. The off-diagonal elements will be the biweight', ' midcovariances between each pair of input variables.', '', '.. seealso::', '', ' ', ' :obj:`biweight_midvariance`, :obj:`biweight_midcorrelation`, :obj:`biweight_scale`, :obj:`biweight_location`', ' ', '.. rubric:: References', '', '.. [R60] http://www.itl.nist.gov/div898/software/dataplot/refman2/auxillar/biwmidc.htm', '', '.. only:: latex', '', ' [R60]_', '', '.. rubric:: Examples', '', '', 'Compute the biweight midcovariance between two random variables:', '', '>>> import numpy as np', '>>> from astropy.stats import biweight_midcovariance', '>>> # Generate two random variables x and y', '>>> rng = np.random.RandomState(1)', '>>> x = rng.normal(0, 1, 200)', '>>> y = rng.normal(0, 3, 200)', '>>> # Introduce an obvious outlier', '>>> x[0] = 30.0', '>>> # Calculate the biweight midcovariances between x and y', '>>> bicov = biweight_midcovariance([x, y])', '>>> print(bicov) # doctest: +FLOAT_CMP', '[[ 0.82483155 -0.18961219]', ' [-0.18961219 9.80265764]]', '>>> # Print standard deviation estimates', '>>> print(np.sqrt(bicov.diagonal())) # doctest: +FLOAT_CMP', '[ 0.90820237 3.13091961]']:81: WARNING: py:obj reference target not found: numpy.cov ['biweight_midcovariance(data, c=9.0, M=None, modify_sample_size=False)', ':module: astropy.stats', '', '', '', 'Compute the biweight midcovariance between pairs of multiple', 'variables.', '', 'The biweight midcovariance is a robust and resistant estimator of', 'the covariance between two variables.', '', 'This function computes the biweight midcovariance between all pairs', 'of the input variables (rows) in the input data. The output array', 'will have a shape of (N_variables, N_variables). The diagonal', 'elements will be the biweight midvariances of each input variable', '(see :func:`biweight_midvariance`). The off-diagonal elements will', 'be the biweight midcovariances between each pair of input variables.', '', 'For example, if the input array ``data`` contains three variables', '(rows) ``x``, ``y``, and ``z``, the output `~numpy.ndarray`', 'midcovariance matrix will be:', '', '.. math::', '', ' \\begin{pmatrix}', ' \\zeta_{xx} & \\zeta_{xy} & \\zeta_{xz} \\\\', ' \\zeta_{yx} & \\zeta_{yy} & \\zeta_{yz} \\\\', ' \\zeta_{zx} & \\zeta_{zy} & \\zeta_{zz}', ' \\end{pmatrix}', '', 'where :math:`\\zeta_{xx}`, :math:`\\zeta_{yy}`, and :math:`\\zeta_{zz}`', 'are the biweight midvariances of each variable. The biweight', 'midcovariance between :math:`x` and :math:`y` is :math:`\\zeta_{xy}`', '(:math:`= \\zeta_{yx}`). The biweight midcovariance between', ':math:`x` and :math:`z` is :math:`\\zeta_{xz}` (:math:`=', '\\zeta_{zx}`). The biweight midcovariance between :math:`y` and', ':math:`z` is :math:`\\zeta_{yz}` (:math:`= \\zeta_{zy}`).', '', 'The biweight midcovariance between two variables :math:`x` and', ':math:`y` is given by:', '', '.. math::', '', ' \\zeta_{xy} = n \\ \\frac{\\Sigma_{|u_i| < 1, \\ |v_i| < 1} \\', ' (x_i - M_x) (1 - u_i^2)^2 (y_i - M_y) (1 - v_i^2)^2}', ' {(\\Sigma_{|u_i| < 1} \\ (1 - u_i^2) (1 - 5u_i^2))', ' (\\Sigma_{|v_i| < 1} \\ (1 - v_i^2) (1 - 5v_i^2))}', '', 'where :math:`M_x` and :math:`M_y` are the medians (or the input', 'locations) of the two variables and :math:`u_i` and :math:`v_i` are', 'given by:', '', '.. math::', '', ' u_{i} = \\frac{(x_i - M_x)}{c * MAD_x}', '', ' v_{i} = \\frac{(y_i - M_y)}{c * MAD_y}', '', 'where :math:`c` is the biweight tuning constant and :math:`MAD_x`', 'and :math:`MAD_y` are the `median absolute deviation', '`_ of the', ':math:`x` and :math:`y` variables. The biweight midvariance tuning', 'constant ``c`` is typically 9.0 (the default).', '', 'For the standard definition of biweight midcovariance :math:`n` is', 'the total number of observations of each variable. That definition', 'is used if ``modify_sample_size`` is `False`, which is the default.', '', 'However, if ``modify_sample_size = True``, then :math:`n` is the', 'number of observations for which :math:`|u_i| < 1` and :math:`|v_i|', '< 1`, i.e.', '', '.. math::', '', ' n = \\Sigma_{|u_i| < 1, \\ |v_i| < 1} \\ 1', '', 'which results in a value closer to the true variance for small', 'sample sizes or for a large number of rejected values.', '', ':Parameters:', '', ' **data** : 2D or 1D array-like', '', ' Input data either as a 2D or 1D array. For a 2D array, it', ' should have a shape (N_variables, N_observations). A 1D array', ' may be input for observations of a single variable, in which', ' case the biweight midvariance will be calculated (no', ' covariance). Each row of ``data`` represents a variable, and', ' each column a single observation of all those variables (same as', ' the `numpy.cov` convention).', ' ', '', ' **c** : float, optional', '', ' Tuning constant for the biweight estimator (default = 9.0).', ' ', '', ' **M** : float or 1D array-like, optional', '', ' The location estimate of each variable, either as a scalar or', ' array. If ``M`` is an array, then its must be a 1D array', ' containing the location estimate of each row (i.e. ``a.ndim``', ' elements). If ``M`` is a scalar value, then its value will be', ' used for each variable (row). If `None` (default), then the', ' median of each variable (row) will be used.', ' ', '', ' **modify_sample_size** : bool, optional', '', ' If `False` (default), then the sample size used is the total', ' number of observations of each variable, which follows the', ' standard definition of biweight midcovariance. If `True`, then', ' the sample size is reduced to correct for any rejected values', ' (see formula above), which results in a value closer to the true', ' covariance for small sample sizes or for a large number of', ' rejected values.', '', ':Returns:', '', ' **biweight_midcovariance** : `~numpy.ndarray`', '', ' A 2D array representing the biweight midcovariances between each', ' pair of the variables (rows) in the input array. The output', ' array will have a shape of (N_variables, N_variables). The', ' diagonal elements will be the biweight midvariances of each', ' input variable. The off-diagonal elements will be the biweight', ' midcovariances between each pair of input variables.', '', '.. seealso::', '', ' ', ' :obj:`biweight_midvariance`, :obj:`biweight_midcorrelation`, :obj:`biweight_scale`, :obj:`biweight_location`', ' ', '.. rubric:: References', '', '.. [R60] http://www.itl.nist.gov/div898/software/dataplot/refman2/auxillar/biwmidc.htm', '', '.. only:: latex', '', ' [R60]_', '', '.. rubric:: Examples', '', '', 'Compute the biweight midcovariance between two random variables:', '', '>>> import numpy as np', '>>> from astropy.stats import biweight_midcovariance', '>>> # Generate two random variables x and y', '>>> rng = np.random.RandomState(1)', '>>> x = rng.normal(0, 1, 200)', '>>> y = rng.normal(0, 3, 200)', '>>> # Introduce an obvious outlier', '>>> x[0] = 30.0', '>>> # Calculate the biweight midcovariances between x and y', '>>> bicov = biweight_midcovariance([x, y])', '>>> print(bicov) # doctest: +FLOAT_CMP', '[[ 0.82483155 -0.18961219]', ' [-0.18961219 9.80265764]]', '>>> # Print standard deviation estimates', '>>> print(np.sqrt(bicov.diagonal())) # doctest: +FLOAT_CMP', '[ 0.90820237 3.13091961]']:95: WARNING: py:obj reference target not found: None ['biweight_midcovariance(data, c=9.0, M=None, modify_sample_size=False)', ':module: astropy.stats', '', '', '', 'Compute the biweight midcovariance between pairs of multiple', 'variables.', '', 'The biweight midcovariance is a robust and resistant estimator of', 'the covariance between two variables.', '', 'This function computes the biweight midcovariance between all pairs', 'of the input variables (rows) in the input data. The output array', 'will have a shape of (N_variables, N_variables). The diagonal', 'elements will be the biweight midvariances of each input variable', '(see :func:`biweight_midvariance`). The off-diagonal elements will', 'be the biweight midcovariances between each pair of input variables.', '', 'For example, if the input array ``data`` contains three variables', '(rows) ``x``, ``y``, and ``z``, the output `~numpy.ndarray`', 'midcovariance matrix will be:', '', '.. math::', '', ' \\begin{pmatrix}', ' \\zeta_{xx} & \\zeta_{xy} & \\zeta_{xz} \\\\', ' \\zeta_{yx} & \\zeta_{yy} & \\zeta_{yz} \\\\', ' \\zeta_{zx} & \\zeta_{zy} & \\zeta_{zz}', ' \\end{pmatrix}', '', 'where :math:`\\zeta_{xx}`, :math:`\\zeta_{yy}`, and :math:`\\zeta_{zz}`', 'are the biweight midvariances of each variable. The biweight', 'midcovariance between :math:`x` and :math:`y` is :math:`\\zeta_{xy}`', '(:math:`= \\zeta_{yx}`). The biweight midcovariance between', ':math:`x` and :math:`z` is :math:`\\zeta_{xz}` (:math:`=', '\\zeta_{zx}`). The biweight midcovariance between :math:`y` and', ':math:`z` is :math:`\\zeta_{yz}` (:math:`= \\zeta_{zy}`).', '', 'The biweight midcovariance between two variables :math:`x` and', ':math:`y` is given by:', '', '.. math::', '', ' \\zeta_{xy} = n \\ \\frac{\\Sigma_{|u_i| < 1, \\ |v_i| < 1} \\', ' (x_i - M_x) (1 - u_i^2)^2 (y_i - M_y) (1 - v_i^2)^2}', ' {(\\Sigma_{|u_i| < 1} \\ (1 - u_i^2) (1 - 5u_i^2))', ' (\\Sigma_{|v_i| < 1} \\ (1 - v_i^2) (1 - 5v_i^2))}', '', 'where :math:`M_x` and :math:`M_y` are the medians (or the input', 'locations) of the two variables and :math:`u_i` and :math:`v_i` are', 'given by:', '', '.. math::', '', ' u_{i} = \\frac{(x_i - M_x)}{c * MAD_x}', '', ' v_{i} = \\frac{(y_i - M_y)}{c * MAD_y}', '', 'where :math:`c` is the biweight tuning constant and :math:`MAD_x`', 'and :math:`MAD_y` are the `median absolute deviation', '`_ of the', ':math:`x` and :math:`y` variables. The biweight midvariance tuning', 'constant ``c`` is typically 9.0 (the default).', '', 'For the standard definition of biweight midcovariance :math:`n` is', 'the total number of observations of each variable. That definition', 'is used if ``modify_sample_size`` is `False`, which is the default.', '', 'However, if ``modify_sample_size = True``, then :math:`n` is the', 'number of observations for which :math:`|u_i| < 1` and :math:`|v_i|', '< 1`, i.e.', '', '.. math::', '', ' n = \\Sigma_{|u_i| < 1, \\ |v_i| < 1} \\ 1', '', 'which results in a value closer to the true variance for small', 'sample sizes or for a large number of rejected values.', '', ':Parameters:', '', ' **data** : 2D or 1D array-like', '', ' Input data either as a 2D or 1D array. For a 2D array, it', ' should have a shape (N_variables, N_observations). A 1D array', ' may be input for observations of a single variable, in which', ' case the biweight midvariance will be calculated (no', ' covariance). Each row of ``data`` represents a variable, and', ' each column a single observation of all those variables (same as', ' the `numpy.cov` convention).', ' ', '', ' **c** : float, optional', '', ' Tuning constant for the biweight estimator (default = 9.0).', ' ', '', ' **M** : float or 1D array-like, optional', '', ' The location estimate of each variable, either as a scalar or', ' array. If ``M`` is an array, then its must be a 1D array', ' containing the location estimate of each row (i.e. ``a.ndim``', ' elements). If ``M`` is a scalar value, then its value will be', ' used for each variable (row). If `None` (default), then the', ' median of each variable (row) will be used.', ' ', '', ' **modify_sample_size** : bool, optional', '', ' If `False` (default), then the sample size used is the total', ' number of observations of each variable, which follows the', ' standard definition of biweight midcovariance. If `True`, then', ' the sample size is reduced to correct for any rejected values', ' (see formula above), which results in a value closer to the true', ' covariance for small sample sizes or for a large number of', ' rejected values.', '', ':Returns:', '', ' **biweight_midcovariance** : `~numpy.ndarray`', '', ' A 2D array representing the biweight midcovariances between each', ' pair of the variables (rows) in the input array. The output', ' array will have a shape of (N_variables, N_variables). The', ' diagonal elements will be the biweight midvariances of each', ' input variable. The off-diagonal elements will be the biweight', ' midcovariances between each pair of input variables.', '', '.. seealso::', '', ' ', ' :obj:`biweight_midvariance`, :obj:`biweight_midcorrelation`, :obj:`biweight_scale`, :obj:`biweight_location`', ' ', '.. rubric:: References', '', '.. [R60] http://www.itl.nist.gov/div898/software/dataplot/refman2/auxillar/biwmidc.htm', '', '.. only:: latex', '', ' [R60]_', '', '.. rubric:: Examples', '', '', 'Compute the biweight midcovariance between two random variables:', '', '>>> import numpy as np', '>>> from astropy.stats import biweight_midcovariance', '>>> # Generate two random variables x and y', '>>> rng = np.random.RandomState(1)', '>>> x = rng.normal(0, 1, 200)', '>>> y = rng.normal(0, 3, 200)', '>>> # Introduce an obvious outlier', '>>> x[0] = 30.0', '>>> # Calculate the biweight midcovariances between x and y', '>>> bicov = biweight_midcovariance([x, y])', '>>> print(bicov) # doctest: +FLOAT_CMP', '[[ 0.82483155 -0.18961219]', ' [-0.18961219 9.80265764]]', '>>> # Print standard deviation estimates', '>>> print(np.sqrt(bicov.diagonal())) # doctest: +FLOAT_CMP', '[ 0.90820237 3.13091961]']:104: WARNING: py:obj reference target not found: False ['biweight_midcovariance(data, c=9.0, M=None, modify_sample_size=False)', ':module: astropy.stats', '', '', '', 'Compute the biweight midcovariance between pairs of multiple', 'variables.', '', 'The biweight midcovariance is a robust and resistant estimator of', 'the covariance between two variables.', '', 'This function computes the biweight midcovariance between all pairs', 'of the input variables (rows) in the input data. The output array', 'will have a shape of (N_variables, N_variables). The diagonal', 'elements will be the biweight midvariances of each input variable', '(see :func:`biweight_midvariance`). The off-diagonal elements will', 'be the biweight midcovariances between each pair of input variables.', '', 'For example, if the input array ``data`` contains three variables', '(rows) ``x``, ``y``, and ``z``, the output `~numpy.ndarray`', 'midcovariance matrix will be:', '', '.. math::', '', ' \\begin{pmatrix}', ' \\zeta_{xx} & \\zeta_{xy} & \\zeta_{xz} \\\\', ' \\zeta_{yx} & \\zeta_{yy} & \\zeta_{yz} \\\\', ' \\zeta_{zx} & \\zeta_{zy} & \\zeta_{zz}', ' \\end{pmatrix}', '', 'where :math:`\\zeta_{xx}`, :math:`\\zeta_{yy}`, and :math:`\\zeta_{zz}`', 'are the biweight midvariances of each variable. The biweight', 'midcovariance between :math:`x` and :math:`y` is :math:`\\zeta_{xy}`', '(:math:`= \\zeta_{yx}`). The biweight midcovariance between', ':math:`x` and :math:`z` is :math:`\\zeta_{xz}` (:math:`=', '\\zeta_{zx}`). The biweight midcovariance between :math:`y` and', ':math:`z` is :math:`\\zeta_{yz}` (:math:`= \\zeta_{zy}`).', '', 'The biweight midcovariance between two variables :math:`x` and', ':math:`y` is given by:', '', '.. math::', '', ' \\zeta_{xy} = n \\ \\frac{\\Sigma_{|u_i| < 1, \\ |v_i| < 1} \\', ' (x_i - M_x) (1 - u_i^2)^2 (y_i - M_y) (1 - v_i^2)^2}', ' {(\\Sigma_{|u_i| < 1} \\ (1 - u_i^2) (1 - 5u_i^2))', ' (\\Sigma_{|v_i| < 1} \\ (1 - v_i^2) (1 - 5v_i^2))}', '', 'where :math:`M_x` and :math:`M_y` are the medians (or the input', 'locations) of the two variables and :math:`u_i` and :math:`v_i` are', 'given by:', '', '.. math::', '', ' u_{i} = \\frac{(x_i - M_x)}{c * MAD_x}', '', ' v_{i} = \\frac{(y_i - M_y)}{c * MAD_y}', '', 'where :math:`c` is the biweight tuning constant and :math:`MAD_x`', 'and :math:`MAD_y` are the `median absolute deviation', '`_ of the', ':math:`x` and :math:`y` variables. The biweight midvariance tuning', 'constant ``c`` is typically 9.0 (the default).', '', 'For the standard definition of biweight midcovariance :math:`n` is', 'the total number of observations of each variable. That definition', 'is used if ``modify_sample_size`` is `False`, which is the default.', '', 'However, if ``modify_sample_size = True``, then :math:`n` is the', 'number of observations for which :math:`|u_i| < 1` and :math:`|v_i|', '< 1`, i.e.', '', '.. math::', '', ' n = \\Sigma_{|u_i| < 1, \\ |v_i| < 1} \\ 1', '', 'which results in a value closer to the true variance for small', 'sample sizes or for a large number of rejected values.', '', ':Parameters:', '', ' **data** : 2D or 1D array-like', '', ' Input data either as a 2D or 1D array. For a 2D array, it', ' should have a shape (N_variables, N_observations). A 1D array', ' may be input for observations of a single variable, in which', ' case the biweight midvariance will be calculated (no', ' covariance). Each row of ``data`` represents a variable, and', ' each column a single observation of all those variables (same as', ' the `numpy.cov` convention).', ' ', '', ' **c** : float, optional', '', ' Tuning constant for the biweight estimator (default = 9.0).', ' ', '', ' **M** : float or 1D array-like, optional', '', ' The location estimate of each variable, either as a scalar or', ' array. If ``M`` is an array, then its must be a 1D array', ' containing the location estimate of each row (i.e. ``a.ndim``', ' elements). If ``M`` is a scalar value, then its value will be', ' used for each variable (row). If `None` (default), then the', ' median of each variable (row) will be used.', ' ', '', ' **modify_sample_size** : bool, optional', '', ' If `False` (default), then the sample size used is the total', ' number of observations of each variable, which follows the', ' standard definition of biweight midcovariance. If `True`, then', ' the sample size is reduced to correct for any rejected values', ' (see formula above), which results in a value closer to the true', ' covariance for small sample sizes or for a large number of', ' rejected values.', '', ':Returns:', '', ' **biweight_midcovariance** : `~numpy.ndarray`', '', ' A 2D array representing the biweight midcovariances between each', ' pair of the variables (rows) in the input array. The output', ' array will have a shape of (N_variables, N_variables). The', ' diagonal elements will be the biweight midvariances of each', ' input variable. The off-diagonal elements will be the biweight', ' midcovariances between each pair of input variables.', '', '.. seealso::', '', ' ', ' :obj:`biweight_midvariance`, :obj:`biweight_midcorrelation`, :obj:`biweight_scale`, :obj:`biweight_location`', ' ', '.. rubric:: References', '', '.. [R60] http://www.itl.nist.gov/div898/software/dataplot/refman2/auxillar/biwmidc.htm', '', '.. only:: latex', '', ' [R60]_', '', '.. rubric:: Examples', '', '', 'Compute the biweight midcovariance between two random variables:', '', '>>> import numpy as np', '>>> from astropy.stats import biweight_midcovariance', '>>> # Generate two random variables x and y', '>>> rng = np.random.RandomState(1)', '>>> x = rng.normal(0, 1, 200)', '>>> y = rng.normal(0, 3, 200)', '>>> # Introduce an obvious outlier', '>>> x[0] = 30.0', '>>> # Calculate the biweight midcovariances between x and y', '>>> bicov = biweight_midcovariance([x, y])', '>>> print(bicov) # doctest: +FLOAT_CMP', '[[ 0.82483155 -0.18961219]', ' [-0.18961219 9.80265764]]', '>>> # Print standard deviation estimates', '>>> print(np.sqrt(bicov.diagonal())) # doctest: +FLOAT_CMP', '[ 0.90820237 3.13091961]']:104: WARNING: py:obj reference target not found: True ['biweight_midcovariance(data, c=9.0, M=None, modify_sample_size=False)', ':module: astropy.stats', '', '', '', 'Compute the biweight midcovariance between pairs of multiple', 'variables.', '', 'The biweight midcovariance is a robust and resistant estimator of', 'the covariance between two variables.', '', 'This function computes the biweight midcovariance between all pairs', 'of the input variables (rows) in the input data. The output array', 'will have a shape of (N_variables, N_variables). The diagonal', 'elements will be the biweight midvariances of each input variable', '(see :func:`biweight_midvariance`). The off-diagonal elements will', 'be the biweight midcovariances between each pair of input variables.', '', 'For example, if the input array ``data`` contains three variables', '(rows) ``x``, ``y``, and ``z``, the output `~numpy.ndarray`', 'midcovariance matrix will be:', '', '.. math::', '', ' \\begin{pmatrix}', ' \\zeta_{xx} & \\zeta_{xy} & \\zeta_{xz} \\\\', ' \\zeta_{yx} & \\zeta_{yy} & \\zeta_{yz} \\\\', ' \\zeta_{zx} & \\zeta_{zy} & \\zeta_{zz}', ' \\end{pmatrix}', '', 'where :math:`\\zeta_{xx}`, :math:`\\zeta_{yy}`, and :math:`\\zeta_{zz}`', 'are the biweight midvariances of each variable. The biweight', 'midcovariance between :math:`x` and :math:`y` is :math:`\\zeta_{xy}`', '(:math:`= \\zeta_{yx}`). The biweight midcovariance between', ':math:`x` and :math:`z` is :math:`\\zeta_{xz}` (:math:`=', '\\zeta_{zx}`). The biweight midcovariance between :math:`y` and', ':math:`z` is :math:`\\zeta_{yz}` (:math:`= \\zeta_{zy}`).', '', 'The biweight midcovariance between two variables :math:`x` and', ':math:`y` is given by:', '', '.. math::', '', ' \\zeta_{xy} = n \\ \\frac{\\Sigma_{|u_i| < 1, \\ |v_i| < 1} \\', ' (x_i - M_x) (1 - u_i^2)^2 (y_i - M_y) (1 - v_i^2)^2}', ' {(\\Sigma_{|u_i| < 1} \\ (1 - u_i^2) (1 - 5u_i^2))', ' (\\Sigma_{|v_i| < 1} \\ (1 - v_i^2) (1 - 5v_i^2))}', '', 'where :math:`M_x` and :math:`M_y` are the medians (or the input', 'locations) of the two variables and :math:`u_i` and :math:`v_i` are', 'given by:', '', '.. math::', '', ' u_{i} = \\frac{(x_i - M_x)}{c * MAD_x}', '', ' v_{i} = \\frac{(y_i - M_y)}{c * MAD_y}', '', 'where :math:`c` is the biweight tuning constant and :math:`MAD_x`', 'and :math:`MAD_y` are the `median absolute deviation', '`_ of the', ':math:`x` and :math:`y` variables. The biweight midvariance tuning', 'constant ``c`` is typically 9.0 (the default).', '', 'For the standard definition of biweight midcovariance :math:`n` is', 'the total number of observations of each variable. That definition', 'is used if ``modify_sample_size`` is `False`, which is the default.', '', 'However, if ``modify_sample_size = True``, then :math:`n` is the', 'number of observations for which :math:`|u_i| < 1` and :math:`|v_i|', '< 1`, i.e.', '', '.. math::', '', ' n = \\Sigma_{|u_i| < 1, \\ |v_i| < 1} \\ 1', '', 'which results in a value closer to the true variance for small', 'sample sizes or for a large number of rejected values.', '', ':Parameters:', '', ' **data** : 2D or 1D array-like', '', ' Input data either as a 2D or 1D array. For a 2D array, it', ' should have a shape (N_variables, N_observations). A 1D array', ' may be input for observations of a single variable, in which', ' case the biweight midvariance will be calculated (no', ' covariance). Each row of ``data`` represents a variable, and', ' each column a single observation of all those variables (same as', ' the `numpy.cov` convention).', ' ', '', ' **c** : float, optional', '', ' Tuning constant for the biweight estimator (default = 9.0).', ' ', '', ' **M** : float or 1D array-like, optional', '', ' The location estimate of each variable, either as a scalar or', ' array. If ``M`` is an array, then its must be a 1D array', ' containing the location estimate of each row (i.e. ``a.ndim``', ' elements). If ``M`` is a scalar value, then its value will be', ' used for each variable (row). If `None` (default), then the', ' median of each variable (row) will be used.', ' ', '', ' **modify_sample_size** : bool, optional', '', ' If `False` (default), then the sample size used is the total', ' number of observations of each variable, which follows the', ' standard definition of biweight midcovariance. If `True`, then', ' the sample size is reduced to correct for any rejected values', ' (see formula above), which results in a value closer to the true', ' covariance for small sample sizes or for a large number of', ' rejected values.', '', ':Returns:', '', ' **biweight_midcovariance** : `~numpy.ndarray`', '', ' A 2D array representing the biweight midcovariances between each', ' pair of the variables (rows) in the input array. The output', ' array will have a shape of (N_variables, N_variables). The', ' diagonal elements will be the biweight midvariances of each', ' input variable. The off-diagonal elements will be the biweight', ' midcovariances between each pair of input variables.', '', '.. seealso::', '', ' ', ' :obj:`biweight_midvariance`, :obj:`biweight_midcorrelation`, :obj:`biweight_scale`, :obj:`biweight_location`', ' ', '.. rubric:: References', '', '.. [R60] http://www.itl.nist.gov/div898/software/dataplot/refman2/auxillar/biwmidc.htm', '', '.. only:: latex', '', ' [R60]_', '', '.. rubric:: Examples', '', '', 'Compute the biweight midcovariance between two random variables:', '', '>>> import numpy as np', '>>> from astropy.stats import biweight_midcovariance', '>>> # Generate two random variables x and y', '>>> rng = np.random.RandomState(1)', '>>> x = rng.normal(0, 1, 200)', '>>> y = rng.normal(0, 3, 200)', '>>> # Introduce an obvious outlier', '>>> x[0] = 30.0', '>>> # Calculate the biweight midcovariances between x and y', '>>> bicov = biweight_midcovariance([x, y])', '>>> print(bicov) # doctest: +FLOAT_CMP', '[[ 0.82483155 -0.18961219]', ' [-0.18961219 9.80265764]]', '>>> # Print standard deviation estimates', '>>> print(np.sqrt(bicov.diagonal())) # doctest: +FLOAT_CMP', '[ 0.90820237 3.13091961]']:114: WARNING: py:obj reference target not found: numpy.ndarray ['biweight_midvariance(data, c=9.0, M=None, axis=None, modify_sample_size=False)', ':module: astropy.stats', '', '', '', 'Compute the biweight midvariance.', '', 'The biweight midvariance is a robust statistic for determining the', 'variance of a distribution. Its square root is a robust estimator', 'of scale (i.e. standard deviation). It is given by:', '', '.. math::', '', ' \\zeta_{bivar} = n \\ \\frac{\\Sigma_{|u_i| < 1} \\', ' (x_i - M)^2 (1 - u_i^2)^4} {(\\Sigma_{|u_i| < 1} \\', ' (1 - u_i^2) (1 - 5u_i^2))^2}', '', 'where :math:`x` is the input data, :math:`M` is the sample median', '(or the input location) and :math:`u_i` is given by:', '', '.. math::', '', ' u_{i} = \\frac{(x_i - M)}{c * MAD}', '', 'where :math:`c` is the tuning constant and :math:`MAD` is the', '`median absolute deviation', '`_. The', 'biweight midvariance tuning constant ``c`` is typically 9.0 (the', 'default).', '', 'For the standard definition of `biweight midvariance', '`_,', ':math:`n` is the total number of points in the array (or along the', 'input ``axis``, if specified). That definition is used if', '``modify_sample_size`` is `False`, which is the default.', '', 'However, if ``modify_sample_size = True``, then :math:`n` is the', 'number of points for which :math:`|u_i| < 1` (i.e. the total number', 'of non-rejected values), i.e.', '', '.. math::', '', ' n = \\Sigma_{|u_i| < 1} \\ 1', '', 'which results in a value closer to the true variance for small', 'sample sizes or for a large number of rejected values.', '', ':Parameters:', '', ' **dat** : array-like', '', ' Input array or object that can be converted to an array.', '', ' **c** : float, optional', '', ' Tuning constant for the biweight estimator (default = 9.0).', '', ' **M** : float or array-like, optional', '', ' The location estimate. If ``M`` is a scalar value, then its', ' value will be used for the entire array (or along each ``axis``,', ' if specified). If ``M`` is an array, then its must be an array', ' containing the location estimate along each ``axis`` of the', ' input array. If `None` (default), then the median of the input', ' array will be used (or along each ``axis``, if specified).', '', ' **axis** : int, optional', '', ' The axis along which the biweight midvariances are computed. If', ' `None` (default), then the biweight midvariance of the flattened', ' input array will be computed.', '', ' **modify_sample_size** : bool, optional', '', ' If `False` (default), then the sample size used is the total', ' number of elements in the array (or along the input ``axis``, if', ' specified), which follows the standard definition of biweight', ' midvariance. If `True`, then the sample size is reduced to', ' correct for any rejected values (i.e. the sample size used', ' includes only the non-rejected values), which results in a value', ' closer to the true variance for small sample sizes or for a', ' large number of rejected values.', '', ':Returns:', '', ' **biweight_midvariance** : float or `~numpy.ndarray`', '', ' The biweight midvariance of the input data. If ``axis`` is', ' `None` then a scalar will be returned, otherwise a', ' `~numpy.ndarray` will be returned.', '', '.. seealso::', '', ' ', ' :obj:`biweight_midcovariance`, :obj:`biweight_midcorrelation`, :obj:`astropy.stats.mad_std`, :obj:`astropy.stats.median_absolute_deviation`', ' ', '.. rubric:: References', '', '.. [R61] https://en.wikipedia.org/wiki/Robust_measures_of_scale#The_biweight_midvariance', '', '.. [R62] Beers, Flynn, and Gebhardt (1990; AJ 100, 32) (http://adsabs.harvard.edu/abs/1990AJ....100...32B)', '', '.. only:: latex', '', ' [R61]_, [R62]_', '', '.. rubric:: Examples', '', '', 'Generate random variates from a Gaussian distribution and return the', 'biweight midvariance of the distribution:', '', '>>> import numpy as np', '>>> from astropy.stats import biweight_midvariance', '>>> rand = np.random.RandomState(12345)', '>>> bivar = biweight_midvariance(rand.randn(1000))', '>>> print(bivar) # doctest: +FLOAT_CMP', '0.97362869104']:28: WARNING: py:obj reference target not found: False ['biweight_midvariance(data, c=9.0, M=None, axis=None, modify_sample_size=False)', ':module: astropy.stats', '', '', '', 'Compute the biweight midvariance.', '', 'The biweight midvariance is a robust statistic for determining the', 'variance of a distribution. Its square root is a robust estimator', 'of scale (i.e. standard deviation). It is given by:', '', '.. math::', '', ' \\zeta_{bivar} = n \\ \\frac{\\Sigma_{|u_i| < 1} \\', ' (x_i - M)^2 (1 - u_i^2)^4} {(\\Sigma_{|u_i| < 1} \\', ' (1 - u_i^2) (1 - 5u_i^2))^2}', '', 'where :math:`x` is the input data, :math:`M` is the sample median', '(or the input location) and :math:`u_i` is given by:', '', '.. math::', '', ' u_{i} = \\frac{(x_i - M)}{c * MAD}', '', 'where :math:`c` is the tuning constant and :math:`MAD` is the', '`median absolute deviation', '`_. The', 'biweight midvariance tuning constant ``c`` is typically 9.0 (the', 'default).', '', 'For the standard definition of `biweight midvariance', '`_,', ':math:`n` is the total number of points in the array (or along the', 'input ``axis``, if specified). That definition is used if', '``modify_sample_size`` is `False`, which is the default.', '', 'However, if ``modify_sample_size = True``, then :math:`n` is the', 'number of points for which :math:`|u_i| < 1` (i.e. the total number', 'of non-rejected values), i.e.', '', '.. math::', '', ' n = \\Sigma_{|u_i| < 1} \\ 1', '', 'which results in a value closer to the true variance for small', 'sample sizes or for a large number of rejected values.', '', ':Parameters:', '', ' **dat** : array-like', '', ' Input array or object that can be converted to an array.', '', ' **c** : float, optional', '', ' Tuning constant for the biweight estimator (default = 9.0).', '', ' **M** : float or array-like, optional', '', ' The location estimate. If ``M`` is a scalar value, then its', ' value will be used for the entire array (or along each ``axis``,', ' if specified). If ``M`` is an array, then its must be an array', ' containing the location estimate along each ``axis`` of the', ' input array. If `None` (default), then the median of the input', ' array will be used (or along each ``axis``, if specified).', '', ' **axis** : int, optional', '', ' The axis along which the biweight midvariances are computed. If', ' `None` (default), then the biweight midvariance of the flattened', ' input array will be computed.', '', ' **modify_sample_size** : bool, optional', '', ' If `False` (default), then the sample size used is the total', ' number of elements in the array (or along the input ``axis``, if', ' specified), which follows the standard definition of biweight', ' midvariance. If `True`, then the sample size is reduced to', ' correct for any rejected values (i.e. the sample size used', ' includes only the non-rejected values), which results in a value', ' closer to the true variance for small sample sizes or for a', ' large number of rejected values.', '', ':Returns:', '', ' **biweight_midvariance** : float or `~numpy.ndarray`', '', ' The biweight midvariance of the input data. If ``axis`` is', ' `None` then a scalar will be returned, otherwise a', ' `~numpy.ndarray` will be returned.', '', '.. seealso::', '', ' ', ' :obj:`biweight_midcovariance`, :obj:`biweight_midcorrelation`, :obj:`astropy.stats.mad_std`, :obj:`astropy.stats.median_absolute_deviation`', ' ', '.. rubric:: References', '', '.. [R61] https://en.wikipedia.org/wiki/Robust_measures_of_scale#The_biweight_midvariance', '', '.. [R62] Beers, Flynn, and Gebhardt (1990; AJ 100, 32) (http://adsabs.harvard.edu/abs/1990AJ....100...32B)', '', '.. only:: latex', '', ' [R61]_, [R62]_', '', '.. rubric:: Examples', '', '', 'Generate random variates from a Gaussian distribution and return the', 'biweight midvariance of the distribution:', '', '>>> import numpy as np', '>>> from astropy.stats import biweight_midvariance', '>>> rand = np.random.RandomState(12345)', '>>> bivar = biweight_midvariance(rand.randn(1000))', '>>> print(bivar) # doctest: +FLOAT_CMP', '0.97362869104']:57: WARNING: py:obj reference target not found: None ['biweight_midvariance(data, c=9.0, M=None, axis=None, modify_sample_size=False)', ':module: astropy.stats', '', '', '', 'Compute the biweight midvariance.', '', 'The biweight midvariance is a robust statistic for determining the', 'variance of a distribution. Its square root is a robust estimator', 'of scale (i.e. standard deviation). It is given by:', '', '.. math::', '', ' \\zeta_{bivar} = n \\ \\frac{\\Sigma_{|u_i| < 1} \\', ' (x_i - M)^2 (1 - u_i^2)^4} {(\\Sigma_{|u_i| < 1} \\', ' (1 - u_i^2) (1 - 5u_i^2))^2}', '', 'where :math:`x` is the input data, :math:`M` is the sample median', '(or the input location) and :math:`u_i` is given by:', '', '.. math::', '', ' u_{i} = \\frac{(x_i - M)}{c * MAD}', '', 'where :math:`c` is the tuning constant and :math:`MAD` is the', '`median absolute deviation', '`_. The', 'biweight midvariance tuning constant ``c`` is typically 9.0 (the', 'default).', '', 'For the standard definition of `biweight midvariance', '`_,', ':math:`n` is the total number of points in the array (or along the', 'input ``axis``, if specified). That definition is used if', '``modify_sample_size`` is `False`, which is the default.', '', 'However, if ``modify_sample_size = True``, then :math:`n` is the', 'number of points for which :math:`|u_i| < 1` (i.e. the total number', 'of non-rejected values), i.e.', '', '.. math::', '', ' n = \\Sigma_{|u_i| < 1} \\ 1', '', 'which results in a value closer to the true variance for small', 'sample sizes or for a large number of rejected values.', '', ':Parameters:', '', ' **dat** : array-like', '', ' Input array or object that can be converted to an array.', '', ' **c** : float, optional', '', ' Tuning constant for the biweight estimator (default = 9.0).', '', ' **M** : float or array-like, optional', '', ' The location estimate. If ``M`` is a scalar value, then its', ' value will be used for the entire array (or along each ``axis``,', ' if specified). If ``M`` is an array, then its must be an array', ' containing the location estimate along each ``axis`` of the', ' input array. If `None` (default), then the median of the input', ' array will be used (or along each ``axis``, if specified).', '', ' **axis** : int, optional', '', ' The axis along which the biweight midvariances are computed. If', ' `None` (default), then the biweight midvariance of the flattened', ' input array will be computed.', '', ' **modify_sample_size** : bool, optional', '', ' If `False` (default), then the sample size used is the total', ' number of elements in the array (or along the input ``axis``, if', ' specified), which follows the standard definition of biweight', ' midvariance. If `True`, then the sample size is reduced to', ' correct for any rejected values (i.e. the sample size used', ' includes only the non-rejected values), which results in a value', ' closer to the true variance for small sample sizes or for a', ' large number of rejected values.', '', ':Returns:', '', ' **biweight_midvariance** : float or `~numpy.ndarray`', '', ' The biweight midvariance of the input data. If ``axis`` is', ' `None` then a scalar will be returned, otherwise a', ' `~numpy.ndarray` will be returned.', '', '.. seealso::', '', ' ', ' :obj:`biweight_midcovariance`, :obj:`biweight_midcorrelation`, :obj:`astropy.stats.mad_std`, :obj:`astropy.stats.median_absolute_deviation`', ' ', '.. rubric:: References', '', '.. [R61] https://en.wikipedia.org/wiki/Robust_measures_of_scale#The_biweight_midvariance', '', '.. [R62] Beers, Flynn, and Gebhardt (1990; AJ 100, 32) (http://adsabs.harvard.edu/abs/1990AJ....100...32B)', '', '.. only:: latex', '', ' [R61]_, [R62]_', '', '.. rubric:: Examples', '', '', 'Generate random variates from a Gaussian distribution and return the', 'biweight midvariance of the distribution:', '', '>>> import numpy as np', '>>> from astropy.stats import biweight_midvariance', '>>> rand = np.random.RandomState(12345)', '>>> bivar = biweight_midvariance(rand.randn(1000))', '>>> print(bivar) # doctest: +FLOAT_CMP', '0.97362869104']:66: WARNING: py:obj reference target not found: None ['biweight_midvariance(data, c=9.0, M=None, axis=None, modify_sample_size=False)', ':module: astropy.stats', '', '', '', 'Compute the biweight midvariance.', '', 'The biweight midvariance is a robust statistic for determining the', 'variance of a distribution. Its square root is a robust estimator', 'of scale (i.e. standard deviation). It is given by:', '', '.. math::', '', ' \\zeta_{bivar} = n \\ \\frac{\\Sigma_{|u_i| < 1} \\', ' (x_i - M)^2 (1 - u_i^2)^4} {(\\Sigma_{|u_i| < 1} \\', ' (1 - u_i^2) (1 - 5u_i^2))^2}', '', 'where :math:`x` is the input data, :math:`M` is the sample median', '(or the input location) and :math:`u_i` is given by:', '', '.. math::', '', ' u_{i} = \\frac{(x_i - M)}{c * MAD}', '', 'where :math:`c` is the tuning constant and :math:`MAD` is the', '`median absolute deviation', '`_. The', 'biweight midvariance tuning constant ``c`` is typically 9.0 (the', 'default).', '', 'For the standard definition of `biweight midvariance', '`_,', ':math:`n` is the total number of points in the array (or along the', 'input ``axis``, if specified). That definition is used if', '``modify_sample_size`` is `False`, which is the default.', '', 'However, if ``modify_sample_size = True``, then :math:`n` is the', 'number of points for which :math:`|u_i| < 1` (i.e. the total number', 'of non-rejected values), i.e.', '', '.. math::', '', ' n = \\Sigma_{|u_i| < 1} \\ 1', '', 'which results in a value closer to the true variance for small', 'sample sizes or for a large number of rejected values.', '', ':Parameters:', '', ' **dat** : array-like', '', ' Input array or object that can be converted to an array.', '', ' **c** : float, optional', '', ' Tuning constant for the biweight estimator (default = 9.0).', '', ' **M** : float or array-like, optional', '', ' The location estimate. If ``M`` is a scalar value, then its', ' value will be used for the entire array (or along each ``axis``,', ' if specified). If ``M`` is an array, then its must be an array', ' containing the location estimate along each ``axis`` of the', ' input array. If `None` (default), then the median of the input', ' array will be used (or along each ``axis``, if specified).', '', ' **axis** : int, optional', '', ' The axis along which the biweight midvariances are computed. If', ' `None` (default), then the biweight midvariance of the flattened', ' input array will be computed.', '', ' **modify_sample_size** : bool, optional', '', ' If `False` (default), then the sample size used is the total', ' number of elements in the array (or along the input ``axis``, if', ' specified), which follows the standard definition of biweight', ' midvariance. If `True`, then the sample size is reduced to', ' correct for any rejected values (i.e. the sample size used', ' includes only the non-rejected values), which results in a value', ' closer to the true variance for small sample sizes or for a', ' large number of rejected values.', '', ':Returns:', '', ' **biweight_midvariance** : float or `~numpy.ndarray`', '', ' The biweight midvariance of the input data. If ``axis`` is', ' `None` then a scalar will be returned, otherwise a', ' `~numpy.ndarray` will be returned.', '', '.. seealso::', '', ' ', ' :obj:`biweight_midcovariance`, :obj:`biweight_midcorrelation`, :obj:`astropy.stats.mad_std`, :obj:`astropy.stats.median_absolute_deviation`', ' ', '.. rubric:: References', '', '.. [R61] https://en.wikipedia.org/wiki/Robust_measures_of_scale#The_biweight_midvariance', '', '.. [R62] Beers, Flynn, and Gebhardt (1990; AJ 100, 32) (http://adsabs.harvard.edu/abs/1990AJ....100...32B)', '', '.. only:: latex', '', ' [R61]_, [R62]_', '', '.. rubric:: Examples', '', '', 'Generate random variates from a Gaussian distribution and return the', 'biweight midvariance of the distribution:', '', '>>> import numpy as np', '>>> from astropy.stats import biweight_midvariance', '>>> rand = np.random.RandomState(12345)', '>>> bivar = biweight_midvariance(rand.randn(1000))', '>>> print(bivar) # doctest: +FLOAT_CMP', '0.97362869104']:72: WARNING: py:obj reference target not found: False ['biweight_midvariance(data, c=9.0, M=None, axis=None, modify_sample_size=False)', ':module: astropy.stats', '', '', '', 'Compute the biweight midvariance.', '', 'The biweight midvariance is a robust statistic for determining the', 'variance of a distribution. Its square root is a robust estimator', 'of scale (i.e. standard deviation). It is given by:', '', '.. math::', '', ' \\zeta_{bivar} = n \\ \\frac{\\Sigma_{|u_i| < 1} \\', ' (x_i - M)^2 (1 - u_i^2)^4} {(\\Sigma_{|u_i| < 1} \\', ' (1 - u_i^2) (1 - 5u_i^2))^2}', '', 'where :math:`x` is the input data, :math:`M` is the sample median', '(or the input location) and :math:`u_i` is given by:', '', '.. math::', '', ' u_{i} = \\frac{(x_i - M)}{c * MAD}', '', 'where :math:`c` is the tuning constant and :math:`MAD` is the', '`median absolute deviation', '`_. The', 'biweight midvariance tuning constant ``c`` is typically 9.0 (the', 'default).', '', 'For the standard definition of `biweight midvariance', '`_,', ':math:`n` is the total number of points in the array (or along the', 'input ``axis``, if specified). That definition is used if', '``modify_sample_size`` is `False`, which is the default.', '', 'However, if ``modify_sample_size = True``, then :math:`n` is the', 'number of points for which :math:`|u_i| < 1` (i.e. the total number', 'of non-rejected values), i.e.', '', '.. math::', '', ' n = \\Sigma_{|u_i| < 1} \\ 1', '', 'which results in a value closer to the true variance for small', 'sample sizes or for a large number of rejected values.', '', ':Parameters:', '', ' **dat** : array-like', '', ' Input array or object that can be converted to an array.', '', ' **c** : float, optional', '', ' Tuning constant for the biweight estimator (default = 9.0).', '', ' **M** : float or array-like, optional', '', ' The location estimate. If ``M`` is a scalar value, then its', ' value will be used for the entire array (or along each ``axis``,', ' if specified). If ``M`` is an array, then its must be an array', ' containing the location estimate along each ``axis`` of the', ' input array. If `None` (default), then the median of the input', ' array will be used (or along each ``axis``, if specified).', '', ' **axis** : int, optional', '', ' The axis along which the biweight midvariances are computed. If', ' `None` (default), then the biweight midvariance of the flattened', ' input array will be computed.', '', ' **modify_sample_size** : bool, optional', '', ' If `False` (default), then the sample size used is the total', ' number of elements in the array (or along the input ``axis``, if', ' specified), which follows the standard definition of biweight', ' midvariance. If `True`, then the sample size is reduced to', ' correct for any rejected values (i.e. the sample size used', ' includes only the non-rejected values), which results in a value', ' closer to the true variance for small sample sizes or for a', ' large number of rejected values.', '', ':Returns:', '', ' **biweight_midvariance** : float or `~numpy.ndarray`', '', ' The biweight midvariance of the input data. If ``axis`` is', ' `None` then a scalar will be returned, otherwise a', ' `~numpy.ndarray` will be returned.', '', '.. seealso::', '', ' ', ' :obj:`biweight_midcovariance`, :obj:`biweight_midcorrelation`, :obj:`astropy.stats.mad_std`, :obj:`astropy.stats.median_absolute_deviation`', ' ', '.. rubric:: References', '', '.. [R61] https://en.wikipedia.org/wiki/Robust_measures_of_scale#The_biweight_midvariance', '', '.. [R62] Beers, Flynn, and Gebhardt (1990; AJ 100, 32) (http://adsabs.harvard.edu/abs/1990AJ....100...32B)', '', '.. only:: latex', '', ' [R61]_, [R62]_', '', '.. rubric:: Examples', '', '', 'Generate random variates from a Gaussian distribution and return the', 'biweight midvariance of the distribution:', '', '>>> import numpy as np', '>>> from astropy.stats import biweight_midvariance', '>>> rand = np.random.RandomState(12345)', '>>> bivar = biweight_midvariance(rand.randn(1000))', '>>> print(bivar) # doctest: +FLOAT_CMP', '0.97362869104']:72: WARNING: py:obj reference target not found: True ['biweight_midvariance(data, c=9.0, M=None, axis=None, modify_sample_size=False)', ':module: astropy.stats', '', '', '', 'Compute the biweight midvariance.', '', 'The biweight midvariance is a robust statistic for determining the', 'variance of a distribution. Its square root is a robust estimator', 'of scale (i.e. standard deviation). It is given by:', '', '.. math::', '', ' \\zeta_{bivar} = n \\ \\frac{\\Sigma_{|u_i| < 1} \\', ' (x_i - M)^2 (1 - u_i^2)^4} {(\\Sigma_{|u_i| < 1} \\', ' (1 - u_i^2) (1 - 5u_i^2))^2}', '', 'where :math:`x` is the input data, :math:`M` is the sample median', '(or the input location) and :math:`u_i` is given by:', '', '.. math::', '', ' u_{i} = \\frac{(x_i - M)}{c * MAD}', '', 'where :math:`c` is the tuning constant and :math:`MAD` is the', '`median absolute deviation', '`_. The', 'biweight midvariance tuning constant ``c`` is typically 9.0 (the', 'default).', '', 'For the standard definition of `biweight midvariance', '`_,', ':math:`n` is the total number of points in the array (or along the', 'input ``axis``, if specified). That definition is used if', '``modify_sample_size`` is `False`, which is the default.', '', 'However, if ``modify_sample_size = True``, then :math:`n` is the', 'number of points for which :math:`|u_i| < 1` (i.e. the total number', 'of non-rejected values), i.e.', '', '.. math::', '', ' n = \\Sigma_{|u_i| < 1} \\ 1', '', 'which results in a value closer to the true variance for small', 'sample sizes or for a large number of rejected values.', '', ':Parameters:', '', ' **dat** : array-like', '', ' Input array or object that can be converted to an array.', '', ' **c** : float, optional', '', ' Tuning constant for the biweight estimator (default = 9.0).', '', ' **M** : float or array-like, optional', '', ' The location estimate. If ``M`` is a scalar value, then its', ' value will be used for the entire array (or along each ``axis``,', ' if specified). If ``M`` is an array, then its must be an array', ' containing the location estimate along each ``axis`` of the', ' input array. If `None` (default), then the median of the input', ' array will be used (or along each ``axis``, if specified).', '', ' **axis** : int, optional', '', ' The axis along which the biweight midvariances are computed. If', ' `None` (default), then the biweight midvariance of the flattened', ' input array will be computed.', '', ' **modify_sample_size** : bool, optional', '', ' If `False` (default), then the sample size used is the total', ' number of elements in the array (or along the input ``axis``, if', ' specified), which follows the standard definition of biweight', ' midvariance. If `True`, then the sample size is reduced to', ' correct for any rejected values (i.e. the sample size used', ' includes only the non-rejected values), which results in a value', ' closer to the true variance for small sample sizes or for a', ' large number of rejected values.', '', ':Returns:', '', ' **biweight_midvariance** : float or `~numpy.ndarray`', '', ' The biweight midvariance of the input data. If ``axis`` is', ' `None` then a scalar will be returned, otherwise a', ' `~numpy.ndarray` will be returned.', '', '.. seealso::', '', ' ', ' :obj:`biweight_midcovariance`, :obj:`biweight_midcorrelation`, :obj:`astropy.stats.mad_std`, :obj:`astropy.stats.median_absolute_deviation`', ' ', '.. rubric:: References', '', '.. [R61] https://en.wikipedia.org/wiki/Robust_measures_of_scale#The_biweight_midvariance', '', '.. [R62] Beers, Flynn, and Gebhardt (1990; AJ 100, 32) (http://adsabs.harvard.edu/abs/1990AJ....100...32B)', '', '.. only:: latex', '', ' [R61]_, [R62]_', '', '.. rubric:: Examples', '', '', 'Generate random variates from a Gaussian distribution and return the', 'biweight midvariance of the distribution:', '', '>>> import numpy as np', '>>> from astropy.stats import biweight_midvariance', '>>> rand = np.random.RandomState(12345)', '>>> bivar = biweight_midvariance(rand.randn(1000))', '>>> print(bivar) # doctest: +FLOAT_CMP', '0.97362869104']:83: WARNING: py:obj reference target not found: numpy.ndarray ['biweight_midvariance(data, c=9.0, M=None, axis=None, modify_sample_size=False)', ':module: astropy.stats', '', '', '', 'Compute the biweight midvariance.', '', 'The biweight midvariance is a robust statistic for determining the', 'variance of a distribution. Its square root is a robust estimator', 'of scale (i.e. standard deviation). It is given by:', '', '.. math::', '', ' \\zeta_{bivar} = n \\ \\frac{\\Sigma_{|u_i| < 1} \\', ' (x_i - M)^2 (1 - u_i^2)^4} {(\\Sigma_{|u_i| < 1} \\', ' (1 - u_i^2) (1 - 5u_i^2))^2}', '', 'where :math:`x` is the input data, :math:`M` is the sample median', '(or the input location) and :math:`u_i` is given by:', '', '.. math::', '', ' u_{i} = \\frac{(x_i - M)}{c * MAD}', '', 'where :math:`c` is the tuning constant and :math:`MAD` is the', '`median absolute deviation', '`_. The', 'biweight midvariance tuning constant ``c`` is typically 9.0 (the', 'default).', '', 'For the standard definition of `biweight midvariance', '`_,', ':math:`n` is the total number of points in the array (or along the', 'input ``axis``, if specified). That definition is used if', '``modify_sample_size`` is `False`, which is the default.', '', 'However, if ``modify_sample_size = True``, then :math:`n` is the', 'number of points for which :math:`|u_i| < 1` (i.e. the total number', 'of non-rejected values), i.e.', '', '.. math::', '', ' n = \\Sigma_{|u_i| < 1} \\ 1', '', 'which results in a value closer to the true variance for small', 'sample sizes or for a large number of rejected values.', '', ':Parameters:', '', ' **dat** : array-like', '', ' Input array or object that can be converted to an array.', '', ' **c** : float, optional', '', ' Tuning constant for the biweight estimator (default = 9.0).', '', ' **M** : float or array-like, optional', '', ' The location estimate. If ``M`` is a scalar value, then its', ' value will be used for the entire array (or along each ``axis``,', ' if specified). If ``M`` is an array, then its must be an array', ' containing the location estimate along each ``axis`` of the', ' input array. If `None` (default), then the median of the input', ' array will be used (or along each ``axis``, if specified).', '', ' **axis** : int, optional', '', ' The axis along which the biweight midvariances are computed. If', ' `None` (default), then the biweight midvariance of the flattened', ' input array will be computed.', '', ' **modify_sample_size** : bool, optional', '', ' If `False` (default), then the sample size used is the total', ' number of elements in the array (or along the input ``axis``, if', ' specified), which follows the standard definition of biweight', ' midvariance. If `True`, then the sample size is reduced to', ' correct for any rejected values (i.e. the sample size used', ' includes only the non-rejected values), which results in a value', ' closer to the true variance for small sample sizes or for a', ' large number of rejected values.', '', ':Returns:', '', ' **biweight_midvariance** : float or `~numpy.ndarray`', '', ' The biweight midvariance of the input data. If ``axis`` is', ' `None` then a scalar will be returned, otherwise a', ' `~numpy.ndarray` will be returned.', '', '.. seealso::', '', ' ', ' :obj:`biweight_midcovariance`, :obj:`biweight_midcorrelation`, :obj:`astropy.stats.mad_std`, :obj:`astropy.stats.median_absolute_deviation`', ' ', '.. rubric:: References', '', '.. [R61] https://en.wikipedia.org/wiki/Robust_measures_of_scale#The_biweight_midvariance', '', '.. [R62] Beers, Flynn, and Gebhardt (1990; AJ 100, 32) (http://adsabs.harvard.edu/abs/1990AJ....100...32B)', '', '.. only:: latex', '', ' [R61]_, [R62]_', '', '.. rubric:: Examples', '', '', 'Generate random variates from a Gaussian distribution and return the', 'biweight midvariance of the distribution:', '', '>>> import numpy as np', '>>> from astropy.stats import biweight_midvariance', '>>> rand = np.random.RandomState(12345)', '>>> bivar = biweight_midvariance(rand.randn(1000))', '>>> print(bivar) # doctest: +FLOAT_CMP', '0.97362869104']:85: WARNING: py:obj reference target not found: None ['biweight_midvariance(data, c=9.0, M=None, axis=None, modify_sample_size=False)', ':module: astropy.stats', '', '', '', 'Compute the biweight midvariance.', '', 'The biweight midvariance is a robust statistic for determining the', 'variance of a distribution. Its square root is a robust estimator', 'of scale (i.e. standard deviation). It is given by:', '', '.. math::', '', ' \\zeta_{bivar} = n \\ \\frac{\\Sigma_{|u_i| < 1} \\', ' (x_i - M)^2 (1 - u_i^2)^4} {(\\Sigma_{|u_i| < 1} \\', ' (1 - u_i^2) (1 - 5u_i^2))^2}', '', 'where :math:`x` is the input data, :math:`M` is the sample median', '(or the input location) and :math:`u_i` is given by:', '', '.. math::', '', ' u_{i} = \\frac{(x_i - M)}{c * MAD}', '', 'where :math:`c` is the tuning constant and :math:`MAD` is the', '`median absolute deviation', '`_. The', 'biweight midvariance tuning constant ``c`` is typically 9.0 (the', 'default).', '', 'For the standard definition of `biweight midvariance', '`_,', ':math:`n` is the total number of points in the array (or along the', 'input ``axis``, if specified). That definition is used if', '``modify_sample_size`` is `False`, which is the default.', '', 'However, if ``modify_sample_size = True``, then :math:`n` is the', 'number of points for which :math:`|u_i| < 1` (i.e. the total number', 'of non-rejected values), i.e.', '', '.. math::', '', ' n = \\Sigma_{|u_i| < 1} \\ 1', '', 'which results in a value closer to the true variance for small', 'sample sizes or for a large number of rejected values.', '', ':Parameters:', '', ' **dat** : array-like', '', ' Input array or object that can be converted to an array.', '', ' **c** : float, optional', '', ' Tuning constant for the biweight estimator (default = 9.0).', '', ' **M** : float or array-like, optional', '', ' The location estimate. If ``M`` is a scalar value, then its', ' value will be used for the entire array (or along each ``axis``,', ' if specified). If ``M`` is an array, then its must be an array', ' containing the location estimate along each ``axis`` of the', ' input array. If `None` (default), then the median of the input', ' array will be used (or along each ``axis``, if specified).', '', ' **axis** : int, optional', '', ' The axis along which the biweight midvariances are computed. If', ' `None` (default), then the biweight midvariance of the flattened', ' input array will be computed.', '', ' **modify_sample_size** : bool, optional', '', ' If `False` (default), then the sample size used is the total', ' number of elements in the array (or along the input ``axis``, if', ' specified), which follows the standard definition of biweight', ' midvariance. If `True`, then the sample size is reduced to', ' correct for any rejected values (i.e. the sample size used', ' includes only the non-rejected values), which results in a value', ' closer to the true variance for small sample sizes or for a', ' large number of rejected values.', '', ':Returns:', '', ' **biweight_midvariance** : float or `~numpy.ndarray`', '', ' The biweight midvariance of the input data. If ``axis`` is', ' `None` then a scalar will be returned, otherwise a', ' `~numpy.ndarray` will be returned.', '', '.. seealso::', '', ' ', ' :obj:`biweight_midcovariance`, :obj:`biweight_midcorrelation`, :obj:`astropy.stats.mad_std`, :obj:`astropy.stats.median_absolute_deviation`', ' ', '.. rubric:: References', '', '.. [R61] https://en.wikipedia.org/wiki/Robust_measures_of_scale#The_biweight_midvariance', '', '.. [R62] Beers, Flynn, and Gebhardt (1990; AJ 100, 32) (http://adsabs.harvard.edu/abs/1990AJ....100...32B)', '', '.. only:: latex', '', ' [R61]_, [R62]_', '', '.. rubric:: Examples', '', '', 'Generate random variates from a Gaussian distribution and return the', 'biweight midvariance of the distribution:', '', '>>> import numpy as np', '>>> from astropy.stats import biweight_midvariance', '>>> rand = np.random.RandomState(12345)', '>>> bivar = biweight_midvariance(rand.randn(1000))', '>>> print(bivar) # doctest: +FLOAT_CMP', '0.97362869104']:85: WARNING: py:obj reference target not found: numpy.ndarray ['biweight_scale(data, c=9.0, M=None, axis=None, modify_sample_size=False)', ':module: astropy.stats', '', '', '', 'Compute the biweight scale.', '', 'The biweight scale is a robust statistic for determining the', 'standard deviation of a distribution. It is the square root of the', '`biweight midvariance', '`_.', 'It is given by:', '', '.. math::', '', ' \\zeta_{biscl} = \\sqrt{n} \\ \\frac{\\sqrt{\\Sigma_{|u_i| < 1} \\', ' (x_i - M)^2 (1 - u_i^2)^4}} {|(\\Sigma_{|u_i| < 1} \\', ' (1 - u_i^2) (1 - 5u_i^2))|}', '', 'where :math:`x` is the input data, :math:`M` is the sample median', '(or the input location) and :math:`u_i` is given by:', '', '.. math::', '', ' u_{i} = \\frac{(x_i - M)}{c * MAD}', '', 'where :math:`c` is the tuning constant and :math:`MAD` is the', '`median absolute deviation', '`_. The', 'biweight midvariance tuning constant ``c`` is typically 9.0 (the', 'default).', '', 'For the standard definition of biweight scale, :math:`n` is the', 'total number of points in the array (or along the input ``axis``, if', 'specified). That definition is used if ``modify_sample_size`` is', '`False`, which is the default.', '', 'However, if ``modify_sample_size = True``, then :math:`n` is the', 'number of points for which :math:`|u_i| < 1` (i.e. the total number', 'of non-rejected values), i.e.', '', '.. math::', '', ' n = \\Sigma_{|u_i| < 1} \\ 1', '', 'which results in a value closer to the true standard deviation for', 'small sample sizes or for a large number of rejected values.', '', ':Parameters:', '', ' **data** : array-like', '', ' Input array or object that can be converted to an array.', '', ' **c** : float, optional', '', ' Tuning constant for the biweight estimator (default = 9.0).', '', ' **M** : float or array-like, optional', '', ' The location estimate. If ``M`` is a scalar value, then its', ' value will be used for the entire array (or along each ``axis``,', ' if specified). If ``M`` is an array, then its must be an array', ' containing the location estimate along each ``axis`` of the', ' input array. If `None` (default), then the median of the input', ' array will be used (or along each ``axis``, if specified).', '', ' **axis** : int, optional', '', ' The axis along which the biweight scales are computed. If', ' `None` (default), then the biweight scale of the flattened input', ' array will be computed.', '', ' **modify_sample_size** : bool, optional', '', ' If `False` (default), then the sample size used is the total', ' number of elements in the array (or along the input ``axis``, if', ' specified), which follows the standard definition of biweight', ' scale. If `True`, then the sample size is reduced to correct', ' for any rejected values (i.e. the sample size used includes only', ' the non-rejected values), which results in a value closer to the', ' true standard deviation for small sample sizes or for a large', ' number of rejected values.', '', ':Returns:', '', ' **biweight_scale** : float or `~numpy.ndarray`', '', ' The biweight scale of the input data. If ``axis`` is `None`', ' then a scalar will be returned, otherwise a `~numpy.ndarray`', ' will be returned.', '', '.. seealso::', '', ' ', ' :obj:`biweight_midvariance`, :obj:`biweight_midcovariance`, :obj:`biweight_location`, :obj:`astropy.stats.mad_std`, :obj:`astropy.stats.median_absolute_deviation`', ' ', '.. rubric:: References', '', '.. [R63] Beers, Flynn, and Gebhardt (1990; AJ 100, 32) (http://adsabs.harvard.edu/abs/1990AJ....100...32B)', '', '.. [R64] http://www.itl.nist.gov/div898/software/dataplot/refman2/auxillar/biwscale.htm', '', '.. only:: latex', '', ' [R63]_, [R64]_', '', '.. rubric:: Examples', '', '', 'Generate random variates from a Gaussian distribution and return the', 'biweight scale of the distribution:', '', '>>> import numpy as np', '>>> from astropy.stats import biweight_scale', '>>> rand = np.random.RandomState(12345)', '>>> biscl = biweight_scale(rand.randn(1000))', '>>> print(biscl) # doctest: +FLOAT_CMP', '0.986726249291']:30: WARNING: py:obj reference target not found: False ['biweight_scale(data, c=9.0, M=None, axis=None, modify_sample_size=False)', ':module: astropy.stats', '', '', '', 'Compute the biweight scale.', '', 'The biweight scale is a robust statistic for determining the', 'standard deviation of a distribution. It is the square root of the', '`biweight midvariance', '`_.', 'It is given by:', '', '.. math::', '', ' \\zeta_{biscl} = \\sqrt{n} \\ \\frac{\\sqrt{\\Sigma_{|u_i| < 1} \\', ' (x_i - M)^2 (1 - u_i^2)^4}} {|(\\Sigma_{|u_i| < 1} \\', ' (1 - u_i^2) (1 - 5u_i^2))|}', '', 'where :math:`x` is the input data, :math:`M` is the sample median', '(or the input location) and :math:`u_i` is given by:', '', '.. math::', '', ' u_{i} = \\frac{(x_i - M)}{c * MAD}', '', 'where :math:`c` is the tuning constant and :math:`MAD` is the', '`median absolute deviation', '`_. The', 'biweight midvariance tuning constant ``c`` is typically 9.0 (the', 'default).', '', 'For the standard definition of biweight scale, :math:`n` is the', 'total number of points in the array (or along the input ``axis``, if', 'specified). That definition is used if ``modify_sample_size`` is', '`False`, which is the default.', '', 'However, if ``modify_sample_size = True``, then :math:`n` is the', 'number of points for which :math:`|u_i| < 1` (i.e. the total number', 'of non-rejected values), i.e.', '', '.. math::', '', ' n = \\Sigma_{|u_i| < 1} \\ 1', '', 'which results in a value closer to the true standard deviation for', 'small sample sizes or for a large number of rejected values.', '', ':Parameters:', '', ' **data** : array-like', '', ' Input array or object that can be converted to an array.', '', ' **c** : float, optional', '', ' Tuning constant for the biweight estimator (default = 9.0).', '', ' **M** : float or array-like, optional', '', ' The location estimate. If ``M`` is a scalar value, then its', ' value will be used for the entire array (or along each ``axis``,', ' if specified). If ``M`` is an array, then its must be an array', ' containing the location estimate along each ``axis`` of the', ' input array. If `None` (default), then the median of the input', ' array will be used (or along each ``axis``, if specified).', '', ' **axis** : int, optional', '', ' The axis along which the biweight scales are computed. If', ' `None` (default), then the biweight scale of the flattened input', ' array will be computed.', '', ' **modify_sample_size** : bool, optional', '', ' If `False` (default), then the sample size used is the total', ' number of elements in the array (or along the input ``axis``, if', ' specified), which follows the standard definition of biweight', ' scale. If `True`, then the sample size is reduced to correct', ' for any rejected values (i.e. the sample size used includes only', ' the non-rejected values), which results in a value closer to the', ' true standard deviation for small sample sizes or for a large', ' number of rejected values.', '', ':Returns:', '', ' **biweight_scale** : float or `~numpy.ndarray`', '', ' The biweight scale of the input data. If ``axis`` is `None`', ' then a scalar will be returned, otherwise a `~numpy.ndarray`', ' will be returned.', '', '.. seealso::', '', ' ', ' :obj:`biweight_midvariance`, :obj:`biweight_midcovariance`, :obj:`biweight_location`, :obj:`astropy.stats.mad_std`, :obj:`astropy.stats.median_absolute_deviation`', ' ', '.. rubric:: References', '', '.. [R63] Beers, Flynn, and Gebhardt (1990; AJ 100, 32) (http://adsabs.harvard.edu/abs/1990AJ....100...32B)', '', '.. [R64] http://www.itl.nist.gov/div898/software/dataplot/refman2/auxillar/biwscale.htm', '', '.. only:: latex', '', ' [R63]_, [R64]_', '', '.. rubric:: Examples', '', '', 'Generate random variates from a Gaussian distribution and return the', 'biweight scale of the distribution:', '', '>>> import numpy as np', '>>> from astropy.stats import biweight_scale', '>>> rand = np.random.RandomState(12345)', '>>> biscl = biweight_scale(rand.randn(1000))', '>>> print(biscl) # doctest: +FLOAT_CMP', '0.986726249291']:58: WARNING: py:obj reference target not found: None ['biweight_scale(data, c=9.0, M=None, axis=None, modify_sample_size=False)', ':module: astropy.stats', '', '', '', 'Compute the biweight scale.', '', 'The biweight scale is a robust statistic for determining the', 'standard deviation of a distribution. It is the square root of the', '`biweight midvariance', '`_.', 'It is given by:', '', '.. math::', '', ' \\zeta_{biscl} = \\sqrt{n} \\ \\frac{\\sqrt{\\Sigma_{|u_i| < 1} \\', ' (x_i - M)^2 (1 - u_i^2)^4}} {|(\\Sigma_{|u_i| < 1} \\', ' (1 - u_i^2) (1 - 5u_i^2))|}', '', 'where :math:`x` is the input data, :math:`M` is the sample median', '(or the input location) and :math:`u_i` is given by:', '', '.. math::', '', ' u_{i} = \\frac{(x_i - M)}{c * MAD}', '', 'where :math:`c` is the tuning constant and :math:`MAD` is the', '`median absolute deviation', '`_. The', 'biweight midvariance tuning constant ``c`` is typically 9.0 (the', 'default).', '', 'For the standard definition of biweight scale, :math:`n` is the', 'total number of points in the array (or along the input ``axis``, if', 'specified). That definition is used if ``modify_sample_size`` is', '`False`, which is the default.', '', 'However, if ``modify_sample_size = True``, then :math:`n` is the', 'number of points for which :math:`|u_i| < 1` (i.e. the total number', 'of non-rejected values), i.e.', '', '.. math::', '', ' n = \\Sigma_{|u_i| < 1} \\ 1', '', 'which results in a value closer to the true standard deviation for', 'small sample sizes or for a large number of rejected values.', '', ':Parameters:', '', ' **data** : array-like', '', ' Input array or object that can be converted to an array.', '', ' **c** : float, optional', '', ' Tuning constant for the biweight estimator (default = 9.0).', '', ' **M** : float or array-like, optional', '', ' The location estimate. If ``M`` is a scalar value, then its', ' value will be used for the entire array (or along each ``axis``,', ' if specified). If ``M`` is an array, then its must be an array', ' containing the location estimate along each ``axis`` of the', ' input array. If `None` (default), then the median of the input', ' array will be used (or along each ``axis``, if specified).', '', ' **axis** : int, optional', '', ' The axis along which the biweight scales are computed. If', ' `None` (default), then the biweight scale of the flattened input', ' array will be computed.', '', ' **modify_sample_size** : bool, optional', '', ' If `False` (default), then the sample size used is the total', ' number of elements in the array (or along the input ``axis``, if', ' specified), which follows the standard definition of biweight', ' scale. If `True`, then the sample size is reduced to correct', ' for any rejected values (i.e. the sample size used includes only', ' the non-rejected values), which results in a value closer to the', ' true standard deviation for small sample sizes or for a large', ' number of rejected values.', '', ':Returns:', '', ' **biweight_scale** : float or `~numpy.ndarray`', '', ' The biweight scale of the input data. If ``axis`` is `None`', ' then a scalar will be returned, otherwise a `~numpy.ndarray`', ' will be returned.', '', '.. seealso::', '', ' ', ' :obj:`biweight_midvariance`, :obj:`biweight_midcovariance`, :obj:`biweight_location`, :obj:`astropy.stats.mad_std`, :obj:`astropy.stats.median_absolute_deviation`', ' ', '.. rubric:: References', '', '.. [R63] Beers, Flynn, and Gebhardt (1990; AJ 100, 32) (http://adsabs.harvard.edu/abs/1990AJ....100...32B)', '', '.. [R64] http://www.itl.nist.gov/div898/software/dataplot/refman2/auxillar/biwscale.htm', '', '.. only:: latex', '', ' [R63]_, [R64]_', '', '.. rubric:: Examples', '', '', 'Generate random variates from a Gaussian distribution and return the', 'biweight scale of the distribution:', '', '>>> import numpy as np', '>>> from astropy.stats import biweight_scale', '>>> rand = np.random.RandomState(12345)', '>>> biscl = biweight_scale(rand.randn(1000))', '>>> print(biscl) # doctest: +FLOAT_CMP', '0.986726249291']:67: WARNING: py:obj reference target not found: None ['biweight_scale(data, c=9.0, M=None, axis=None, modify_sample_size=False)', ':module: astropy.stats', '', '', '', 'Compute the biweight scale.', '', 'The biweight scale is a robust statistic for determining the', 'standard deviation of a distribution. It is the square root of the', '`biweight midvariance', '`_.', 'It is given by:', '', '.. math::', '', ' \\zeta_{biscl} = \\sqrt{n} \\ \\frac{\\sqrt{\\Sigma_{|u_i| < 1} \\', ' (x_i - M)^2 (1 - u_i^2)^4}} {|(\\Sigma_{|u_i| < 1} \\', ' (1 - u_i^2) (1 - 5u_i^2))|}', '', 'where :math:`x` is the input data, :math:`M` is the sample median', '(or the input location) and :math:`u_i` is given by:', '', '.. math::', '', ' u_{i} = \\frac{(x_i - M)}{c * MAD}', '', 'where :math:`c` is the tuning constant and :math:`MAD` is the', '`median absolute deviation', '`_. The', 'biweight midvariance tuning constant ``c`` is typically 9.0 (the', 'default).', '', 'For the standard definition of biweight scale, :math:`n` is the', 'total number of points in the array (or along the input ``axis``, if', 'specified). That definition is used if ``modify_sample_size`` is', '`False`, which is the default.', '', 'However, if ``modify_sample_size = True``, then :math:`n` is the', 'number of points for which :math:`|u_i| < 1` (i.e. the total number', 'of non-rejected values), i.e.', '', '.. math::', '', ' n = \\Sigma_{|u_i| < 1} \\ 1', '', 'which results in a value closer to the true standard deviation for', 'small sample sizes or for a large number of rejected values.', '', ':Parameters:', '', ' **data** : array-like', '', ' Input array or object that can be converted to an array.', '', ' **c** : float, optional', '', ' Tuning constant for the biweight estimator (default = 9.0).', '', ' **M** : float or array-like, optional', '', ' The location estimate. If ``M`` is a scalar value, then its', ' value will be used for the entire array (or along each ``axis``,', ' if specified). If ``M`` is an array, then its must be an array', ' containing the location estimate along each ``axis`` of the', ' input array. If `None` (default), then the median of the input', ' array will be used (or along each ``axis``, if specified).', '', ' **axis** : int, optional', '', ' The axis along which the biweight scales are computed. If', ' `None` (default), then the biweight scale of the flattened input', ' array will be computed.', '', ' **modify_sample_size** : bool, optional', '', ' If `False` (default), then the sample size used is the total', ' number of elements in the array (or along the input ``axis``, if', ' specified), which follows the standard definition of biweight', ' scale. If `True`, then the sample size is reduced to correct', ' for any rejected values (i.e. the sample size used includes only', ' the non-rejected values), which results in a value closer to the', ' true standard deviation for small sample sizes or for a large', ' number of rejected values.', '', ':Returns:', '', ' **biweight_scale** : float or `~numpy.ndarray`', '', ' The biweight scale of the input data. If ``axis`` is `None`', ' then a scalar will be returned, otherwise a `~numpy.ndarray`', ' will be returned.', '', '.. seealso::', '', ' ', ' :obj:`biweight_midvariance`, :obj:`biweight_midcovariance`, :obj:`biweight_location`, :obj:`astropy.stats.mad_std`, :obj:`astropy.stats.median_absolute_deviation`', ' ', '.. rubric:: References', '', '.. [R63] Beers, Flynn, and Gebhardt (1990; AJ 100, 32) (http://adsabs.harvard.edu/abs/1990AJ....100...32B)', '', '.. [R64] http://www.itl.nist.gov/div898/software/dataplot/refman2/auxillar/biwscale.htm', '', '.. only:: latex', '', ' [R63]_, [R64]_', '', '.. rubric:: Examples', '', '', 'Generate random variates from a Gaussian distribution and return the', 'biweight scale of the distribution:', '', '>>> import numpy as np', '>>> from astropy.stats import biweight_scale', '>>> rand = np.random.RandomState(12345)', '>>> biscl = biweight_scale(rand.randn(1000))', '>>> print(biscl) # doctest: +FLOAT_CMP', '0.986726249291']:73: WARNING: py:obj reference target not found: False ['biweight_scale(data, c=9.0, M=None, axis=None, modify_sample_size=False)', ':module: astropy.stats', '', '', '', 'Compute the biweight scale.', '', 'The biweight scale is a robust statistic for determining the', 'standard deviation of a distribution. It is the square root of the', '`biweight midvariance', '`_.', 'It is given by:', '', '.. math::', '', ' \\zeta_{biscl} = \\sqrt{n} \\ \\frac{\\sqrt{\\Sigma_{|u_i| < 1} \\', ' (x_i - M)^2 (1 - u_i^2)^4}} {|(\\Sigma_{|u_i| < 1} \\', ' (1 - u_i^2) (1 - 5u_i^2))|}', '', 'where :math:`x` is the input data, :math:`M` is the sample median', '(or the input location) and :math:`u_i` is given by:', '', '.. math::', '', ' u_{i} = \\frac{(x_i - M)}{c * MAD}', '', 'where :math:`c` is the tuning constant and :math:`MAD` is the', '`median absolute deviation', '`_. The', 'biweight midvariance tuning constant ``c`` is typically 9.0 (the', 'default).', '', 'For the standard definition of biweight scale, :math:`n` is the', 'total number of points in the array (or along the input ``axis``, if', 'specified). That definition is used if ``modify_sample_size`` is', '`False`, which is the default.', '', 'However, if ``modify_sample_size = True``, then :math:`n` is the', 'number of points for which :math:`|u_i| < 1` (i.e. the total number', 'of non-rejected values), i.e.', '', '.. math::', '', ' n = \\Sigma_{|u_i| < 1} \\ 1', '', 'which results in a value closer to the true standard deviation for', 'small sample sizes or for a large number of rejected values.', '', ':Parameters:', '', ' **data** : array-like', '', ' Input array or object that can be converted to an array.', '', ' **c** : float, optional', '', ' Tuning constant for the biweight estimator (default = 9.0).', '', ' **M** : float or array-like, optional', '', ' The location estimate. If ``M`` is a scalar value, then its', ' value will be used for the entire array (or along each ``axis``,', ' if specified). If ``M`` is an array, then its must be an array', ' containing the location estimate along each ``axis`` of the', ' input array. If `None` (default), then the median of the input', ' array will be used (or along each ``axis``, if specified).', '', ' **axis** : int, optional', '', ' The axis along which the biweight scales are computed. If', ' `None` (default), then the biweight scale of the flattened input', ' array will be computed.', '', ' **modify_sample_size** : bool, optional', '', ' If `False` (default), then the sample size used is the total', ' number of elements in the array (or along the input ``axis``, if', ' specified), which follows the standard definition of biweight', ' scale. If `True`, then the sample size is reduced to correct', ' for any rejected values (i.e. the sample size used includes only', ' the non-rejected values), which results in a value closer to the', ' true standard deviation for small sample sizes or for a large', ' number of rejected values.', '', ':Returns:', '', ' **biweight_scale** : float or `~numpy.ndarray`', '', ' The biweight scale of the input data. If ``axis`` is `None`', ' then a scalar will be returned, otherwise a `~numpy.ndarray`', ' will be returned.', '', '.. seealso::', '', ' ', ' :obj:`biweight_midvariance`, :obj:`biweight_midcovariance`, :obj:`biweight_location`, :obj:`astropy.stats.mad_std`, :obj:`astropy.stats.median_absolute_deviation`', ' ', '.. rubric:: References', '', '.. [R63] Beers, Flynn, and Gebhardt (1990; AJ 100, 32) (http://adsabs.harvard.edu/abs/1990AJ....100...32B)', '', '.. [R64] http://www.itl.nist.gov/div898/software/dataplot/refman2/auxillar/biwscale.htm', '', '.. only:: latex', '', ' [R63]_, [R64]_', '', '.. rubric:: Examples', '', '', 'Generate random variates from a Gaussian distribution and return the', 'biweight scale of the distribution:', '', '>>> import numpy as np', '>>> from astropy.stats import biweight_scale', '>>> rand = np.random.RandomState(12345)', '>>> biscl = biweight_scale(rand.randn(1000))', '>>> print(biscl) # doctest: +FLOAT_CMP', '0.986726249291']:73: WARNING: py:obj reference target not found: True ['biweight_scale(data, c=9.0, M=None, axis=None, modify_sample_size=False)', ':module: astropy.stats', '', '', '', 'Compute the biweight scale.', '', 'The biweight scale is a robust statistic for determining the', 'standard deviation of a distribution. It is the square root of the', '`biweight midvariance', '`_.', 'It is given by:', '', '.. math::', '', ' \\zeta_{biscl} = \\sqrt{n} \\ \\frac{\\sqrt{\\Sigma_{|u_i| < 1} \\', ' (x_i - M)^2 (1 - u_i^2)^4}} {|(\\Sigma_{|u_i| < 1} \\', ' (1 - u_i^2) (1 - 5u_i^2))|}', '', 'where :math:`x` is the input data, :math:`M` is the sample median', '(or the input location) and :math:`u_i` is given by:', '', '.. math::', '', ' u_{i} = \\frac{(x_i - M)}{c * MAD}', '', 'where :math:`c` is the tuning constant and :math:`MAD` is the', '`median absolute deviation', '`_. The', 'biweight midvariance tuning constant ``c`` is typically 9.0 (the', 'default).', '', 'For the standard definition of biweight scale, :math:`n` is the', 'total number of points in the array (or along the input ``axis``, if', 'specified). That definition is used if ``modify_sample_size`` is', '`False`, which is the default.', '', 'However, if ``modify_sample_size = True``, then :math:`n` is the', 'number of points for which :math:`|u_i| < 1` (i.e. the total number', 'of non-rejected values), i.e.', '', '.. math::', '', ' n = \\Sigma_{|u_i| < 1} \\ 1', '', 'which results in a value closer to the true standard deviation for', 'small sample sizes or for a large number of rejected values.', '', ':Parameters:', '', ' **data** : array-like', '', ' Input array or object that can be converted to an array.', '', ' **c** : float, optional', '', ' Tuning constant for the biweight estimator (default = 9.0).', '', ' **M** : float or array-like, optional', '', ' The location estimate. If ``M`` is a scalar value, then its', ' value will be used for the entire array (or along each ``axis``,', ' if specified). If ``M`` is an array, then its must be an array', ' containing the location estimate along each ``axis`` of the', ' input array. If `None` (default), then the median of the input', ' array will be used (or along each ``axis``, if specified).', '', ' **axis** : int, optional', '', ' The axis along which the biweight scales are computed. If', ' `None` (default), then the biweight scale of the flattened input', ' array will be computed.', '', ' **modify_sample_size** : bool, optional', '', ' If `False` (default), then the sample size used is the total', ' number of elements in the array (or along the input ``axis``, if', ' specified), which follows the standard definition of biweight', ' scale. If `True`, then the sample size is reduced to correct', ' for any rejected values (i.e. the sample size used includes only', ' the non-rejected values), which results in a value closer to the', ' true standard deviation for small sample sizes or for a large', ' number of rejected values.', '', ':Returns:', '', ' **biweight_scale** : float or `~numpy.ndarray`', '', ' The biweight scale of the input data. If ``axis`` is `None`', ' then a scalar will be returned, otherwise a `~numpy.ndarray`', ' will be returned.', '', '.. seealso::', '', ' ', ' :obj:`biweight_midvariance`, :obj:`biweight_midcovariance`, :obj:`biweight_location`, :obj:`astropy.stats.mad_std`, :obj:`astropy.stats.median_absolute_deviation`', ' ', '.. rubric:: References', '', '.. [R63] Beers, Flynn, and Gebhardt (1990; AJ 100, 32) (http://adsabs.harvard.edu/abs/1990AJ....100...32B)', '', '.. [R64] http://www.itl.nist.gov/div898/software/dataplot/refman2/auxillar/biwscale.htm', '', '.. only:: latex', '', ' [R63]_, [R64]_', '', '.. rubric:: Examples', '', '', 'Generate random variates from a Gaussian distribution and return the', 'biweight scale of the distribution:', '', '>>> import numpy as np', '>>> from astropy.stats import biweight_scale', '>>> rand = np.random.RandomState(12345)', '>>> biscl = biweight_scale(rand.randn(1000))', '>>> print(biscl) # doctest: +FLOAT_CMP', '0.986726249291']:84: WARNING: py:obj reference target not found: numpy.ndarray ['biweight_scale(data, c=9.0, M=None, axis=None, modify_sample_size=False)', ':module: astropy.stats', '', '', '', 'Compute the biweight scale.', '', 'The biweight scale is a robust statistic for determining the', 'standard deviation of a distribution. It is the square root of the', '`biweight midvariance', '`_.', 'It is given by:', '', '.. math::', '', ' \\zeta_{biscl} = \\sqrt{n} \\ \\frac{\\sqrt{\\Sigma_{|u_i| < 1} \\', ' (x_i - M)^2 (1 - u_i^2)^4}} {|(\\Sigma_{|u_i| < 1} \\', ' (1 - u_i^2) (1 - 5u_i^2))|}', '', 'where :math:`x` is the input data, :math:`M` is the sample median', '(or the input location) and :math:`u_i` is given by:', '', '.. math::', '', ' u_{i} = \\frac{(x_i - M)}{c * MAD}', '', 'where :math:`c` is the tuning constant and :math:`MAD` is the', '`median absolute deviation', '`_. The', 'biweight midvariance tuning constant ``c`` is typically 9.0 (the', 'default).', '', 'For the standard definition of biweight scale, :math:`n` is the', 'total number of points in the array (or along the input ``axis``, if', 'specified). That definition is used if ``modify_sample_size`` is', '`False`, which is the default.', '', 'However, if ``modify_sample_size = True``, then :math:`n` is the', 'number of points for which :math:`|u_i| < 1` (i.e. the total number', 'of non-rejected values), i.e.', '', '.. math::', '', ' n = \\Sigma_{|u_i| < 1} \\ 1', '', 'which results in a value closer to the true standard deviation for', 'small sample sizes or for a large number of rejected values.', '', ':Parameters:', '', ' **data** : array-like', '', ' Input array or object that can be converted to an array.', '', ' **c** : float, optional', '', ' Tuning constant for the biweight estimator (default = 9.0).', '', ' **M** : float or array-like, optional', '', ' The location estimate. If ``M`` is a scalar value, then its', ' value will be used for the entire array (or along each ``axis``,', ' if specified). If ``M`` is an array, then its must be an array', ' containing the location estimate along each ``axis`` of the', ' input array. If `None` (default), then the median of the input', ' array will be used (or along each ``axis``, if specified).', '', ' **axis** : int, optional', '', ' The axis along which the biweight scales are computed. If', ' `None` (default), then the biweight scale of the flattened input', ' array will be computed.', '', ' **modify_sample_size** : bool, optional', '', ' If `False` (default), then the sample size used is the total', ' number of elements in the array (or along the input ``axis``, if', ' specified), which follows the standard definition of biweight', ' scale. If `True`, then the sample size is reduced to correct', ' for any rejected values (i.e. the sample size used includes only', ' the non-rejected values), which results in a value closer to the', ' true standard deviation for small sample sizes or for a large', ' number of rejected values.', '', ':Returns:', '', ' **biweight_scale** : float or `~numpy.ndarray`', '', ' The biweight scale of the input data. If ``axis`` is `None`', ' then a scalar will be returned, otherwise a `~numpy.ndarray`', ' will be returned.', '', '.. seealso::', '', ' ', ' :obj:`biweight_midvariance`, :obj:`biweight_midcovariance`, :obj:`biweight_location`, :obj:`astropy.stats.mad_std`, :obj:`astropy.stats.median_absolute_deviation`', ' ', '.. rubric:: References', '', '.. [R63] Beers, Flynn, and Gebhardt (1990; AJ 100, 32) (http://adsabs.harvard.edu/abs/1990AJ....100...32B)', '', '.. [R64] http://www.itl.nist.gov/div898/software/dataplot/refman2/auxillar/biwscale.htm', '', '.. only:: latex', '', ' [R63]_, [R64]_', '', '.. rubric:: Examples', '', '', 'Generate random variates from a Gaussian distribution and return the', 'biweight scale of the distribution:', '', '>>> import numpy as np', '>>> from astropy.stats import biweight_scale', '>>> rand = np.random.RandomState(12345)', '>>> biscl = biweight_scale(rand.randn(1000))', '>>> print(biscl) # doctest: +FLOAT_CMP', '0.986726249291']:86: WARNING: py:obj reference target not found: None ['biweight_scale(data, c=9.0, M=None, axis=None, modify_sample_size=False)', ':module: astropy.stats', '', '', '', 'Compute the biweight scale.', '', 'The biweight scale is a robust statistic for determining the', 'standard deviation of a distribution. It is the square root of the', '`biweight midvariance', '`_.', 'It is given by:', '', '.. math::', '', ' \\zeta_{biscl} = \\sqrt{n} \\ \\frac{\\sqrt{\\Sigma_{|u_i| < 1} \\', ' (x_i - M)^2 (1 - u_i^2)^4}} {|(\\Sigma_{|u_i| < 1} \\', ' (1 - u_i^2) (1 - 5u_i^2))|}', '', 'where :math:`x` is the input data, :math:`M` is the sample median', '(or the input location) and :math:`u_i` is given by:', '', '.. math::', '', ' u_{i} = \\frac{(x_i - M)}{c * MAD}', '', 'where :math:`c` is the tuning constant and :math:`MAD` is the', '`median absolute deviation', '`_. The', 'biweight midvariance tuning constant ``c`` is typically 9.0 (the', 'default).', '', 'For the standard definition of biweight scale, :math:`n` is the', 'total number of points in the array (or along the input ``axis``, if', 'specified). That definition is used if ``modify_sample_size`` is', '`False`, which is the default.', '', 'However, if ``modify_sample_size = True``, then :math:`n` is the', 'number of points for which :math:`|u_i| < 1` (i.e. the total number', 'of non-rejected values), i.e.', '', '.. math::', '', ' n = \\Sigma_{|u_i| < 1} \\ 1', '', 'which results in a value closer to the true standard deviation for', 'small sample sizes or for a large number of rejected values.', '', ':Parameters:', '', ' **data** : array-like', '', ' Input array or object that can be converted to an array.', '', ' **c** : float, optional', '', ' Tuning constant for the biweight estimator (default = 9.0).', '', ' **M** : float or array-like, optional', '', ' The location estimate. If ``M`` is a scalar value, then its', ' value will be used for the entire array (or along each ``axis``,', ' if specified). If ``M`` is an array, then its must be an array', ' containing the location estimate along each ``axis`` of the', ' input array. If `None` (default), then the median of the input', ' array will be used (or along each ``axis``, if specified).', '', ' **axis** : int, optional', '', ' The axis along which the biweight scales are computed. If', ' `None` (default), then the biweight scale of the flattened input', ' array will be computed.', '', ' **modify_sample_size** : bool, optional', '', ' If `False` (default), then the sample size used is the total', ' number of elements in the array (or along the input ``axis``, if', ' specified), which follows the standard definition of biweight', ' scale. If `True`, then the sample size is reduced to correct', ' for any rejected values (i.e. the sample size used includes only', ' the non-rejected values), which results in a value closer to the', ' true standard deviation for small sample sizes or for a large', ' number of rejected values.', '', ':Returns:', '', ' **biweight_scale** : float or `~numpy.ndarray`', '', ' The biweight scale of the input data. If ``axis`` is `None`', ' then a scalar will be returned, otherwise a `~numpy.ndarray`', ' will be returned.', '', '.. seealso::', '', ' ', ' :obj:`biweight_midvariance`, :obj:`biweight_midcovariance`, :obj:`biweight_location`, :obj:`astropy.stats.mad_std`, :obj:`astropy.stats.median_absolute_deviation`', ' ', '.. rubric:: References', '', '.. [R63] Beers, Flynn, and Gebhardt (1990; AJ 100, 32) (http://adsabs.harvard.edu/abs/1990AJ....100...32B)', '', '.. [R64] http://www.itl.nist.gov/div898/software/dataplot/refman2/auxillar/biwscale.htm', '', '.. only:: latex', '', ' [R63]_, [R64]_', '', '.. rubric:: Examples', '', '', 'Generate random variates from a Gaussian distribution and return the', 'biweight scale of the distribution:', '', '>>> import numpy as np', '>>> from astropy.stats import biweight_scale', '>>> rand = np.random.RandomState(12345)', '>>> biscl = biweight_scale(rand.randn(1000))', '>>> print(biscl) # doctest: +FLOAT_CMP', '0.986726249291']:86: WARNING: py:obj reference target not found: numpy.ndarray ['bootstrap(data, bootnum=100, samples=None, bootfunc=None)', ':module: astropy.stats', '', '', '', 'Performs bootstrap resampling on numpy arrays.', '', 'Bootstrap resampling is used to understand confidence intervals of sample', 'estimates. This function returns versions of the dataset resampled with', 'replacement ("case bootstrapping"). These can all be run through a function', 'or statistic to produce a distribution of values which can then be used to', 'find the confidence intervals.', '', ':Parameters:', '', ' **data** : numpy.ndarray', '', ' N-D array. The bootstrap resampling will be performed on the first', ' index, so the first index should access the relevant information', ' to be bootstrapped.', '', ' **bootnum** : int, optional', '', ' Number of bootstrap resamples', '', ' **samples** : int, optional', '', ' Number of samples in each resample. The default `None` sets samples to', ' the number of datapoints', '', ' **bootfunc** : function, optional', '', ' Function to reduce the resampled data. Each bootstrap resample will', ' be put through this function and the results returned. If `None`, the', ' bootstrapped data will be returned', '', ':Returns:', '', ' **boot** : numpy.ndarray', '', ' ', ' If bootfunc is None, then each row is a bootstrap resample of the data.', ' If bootfunc is specified, then the columns will correspond to the', ' outputs of bootfunc.', '', '.. rubric:: Examples', '', '', 'Obtain a twice resampled array:', '', '>>> from astropy.stats import bootstrap', '>>> import numpy as np', '>>> from astropy.utils import NumpyRNGContext', '>>> bootarr = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9, 0])', '>>> with NumpyRNGContext(1):', '... bootresult = bootstrap(bootarr, 2)', '...', '>>> bootresult', 'array([[ 6., 9., 0., 6., 1., 1., 2., 8., 7., 0.],', ' [ 3., 5., 6., 3., 5., 3., 5., 8., 8., 0.]])', '>>> bootresult.shape', '(2, 10)', '', 'Obtain a statistic on the array', '', '>>> with NumpyRNGContext(1):', '... bootresult = bootstrap(bootarr, 2, bootfunc=np.mean)', '...', '>>> bootresult', 'array([ 4. , 4.6])', '', 'Obtain a statistic with two outputs on the array', '', '>>> test_statistic = lambda x: (np.sum(x), np.mean(x))', '>>> with NumpyRNGContext(1):', '... bootresult = bootstrap(bootarr, 3, bootfunc=test_statistic)', '>>> bootresult', 'array([[ 40. , 4. ],', ' [ 46. , 4.6],', ' [ 35. , 3.5]])', '>>> bootresult.shape', '(3, 2)', '', 'Obtain a statistic with two outputs on the array, keeping only the first', 'output', '', '>>> bootfunc = lambda x:test_statistic(x)[0]', '>>> with NumpyRNGContext(1):', '... bootresult = bootstrap(bootarr, 3, bootfunc=bootfunc)', '...', '>>> bootresult', 'array([ 40., 46., 35.])', '>>> bootresult.shape', '(3,)']:25: WARNING: py:obj reference target not found: None ['bootstrap(data, bootnum=100, samples=None, bootfunc=None)', ':module: astropy.stats', '', '', '', 'Performs bootstrap resampling on numpy arrays.', '', 'Bootstrap resampling is used to understand confidence intervals of sample', 'estimates. This function returns versions of the dataset resampled with', 'replacement ("case bootstrapping"). These can all be run through a function', 'or statistic to produce a distribution of values which can then be used to', 'find the confidence intervals.', '', ':Parameters:', '', ' **data** : numpy.ndarray', '', ' N-D array. The bootstrap resampling will be performed on the first', ' index, so the first index should access the relevant information', ' to be bootstrapped.', '', ' **bootnum** : int, optional', '', ' Number of bootstrap resamples', '', ' **samples** : int, optional', '', ' Number of samples in each resample. The default `None` sets samples to', ' the number of datapoints', '', ' **bootfunc** : function, optional', '', ' Function to reduce the resampled data. Each bootstrap resample will', ' be put through this function and the results returned. If `None`, the', ' bootstrapped data will be returned', '', ':Returns:', '', ' **boot** : numpy.ndarray', '', ' ', ' If bootfunc is None, then each row is a bootstrap resample of the data.', ' If bootfunc is specified, then the columns will correspond to the', ' outputs of bootfunc.', '', '.. rubric:: Examples', '', '', 'Obtain a twice resampled array:', '', '>>> from astropy.stats import bootstrap', '>>> import numpy as np', '>>> from astropy.utils import NumpyRNGContext', '>>> bootarr = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9, 0])', '>>> with NumpyRNGContext(1):', '... bootresult = bootstrap(bootarr, 2)', '...', '>>> bootresult', 'array([[ 6., 9., 0., 6., 1., 1., 2., 8., 7., 0.],', ' [ 3., 5., 6., 3., 5., 3., 5., 8., 8., 0.]])', '>>> bootresult.shape', '(2, 10)', '', 'Obtain a statistic on the array', '', '>>> with NumpyRNGContext(1):', '... bootresult = bootstrap(bootarr, 2, bootfunc=np.mean)', '...', '>>> bootresult', 'array([ 4. , 4.6])', '', 'Obtain a statistic with two outputs on the array', '', '>>> test_statistic = lambda x: (np.sum(x), np.mean(x))', '>>> with NumpyRNGContext(1):', '... bootresult = bootstrap(bootarr, 3, bootfunc=test_statistic)', '>>> bootresult', 'array([[ 40. , 4. ],', ' [ 46. , 4.6],', ' [ 35. , 3.5]])', '>>> bootresult.shape', '(3, 2)', '', 'Obtain a statistic with two outputs on the array, keeping only the first', 'output', '', '>>> bootfunc = lambda x:test_statistic(x)[0]', '>>> with NumpyRNGContext(1):', '... bootresult = bootstrap(bootarr, 3, bootfunc=bootfunc)', '...', '>>> bootresult', 'array([ 40., 46., 35.])', '>>> bootresult.shape', '(3,)']:30: WARNING: py:obj reference target not found: None ['histogram(a, bins=10, range=None, weights=None, **kwargs)', ':module: astropy.stats', '', '', '', 'Enhanced histogram function, providing adaptive binnings', '', 'This is a histogram function that enables the use of more sophisticated', 'algorithms for determining bins. Aside from the ``bins`` argument allowing', 'a string specified how bins are computed, the parameters are the same', 'as ``numpy.histogram()``.', '', ':Parameters:', '', ' **a** : array_like', '', ' array of data to be histogrammed', ' ', '', ' **bins** : int or list or str (optional)', '', ' If bins is a string, then it must be one of:', ' ', " - 'blocks' : use bayesian blocks for dynamic bin widths", ' ', " - 'knuth' : use Knuth's rule to determine bins", ' ', " - 'scott' : use Scott's rule to determine bins", ' ', " - 'freedman' : use the Freedman-Diaconis rule to determine bins", ' ', '', ' **range** : tuple or None (optional)', '', ' the minimum and maximum range for the histogram. If not specified,', ' it will be (x.min(), x.max())', ' ', '', ' **weights** : array_like, optional', '', ' Not Implemented', ' ', '', ' **other keyword arguments are described in numpy.histogram().**', '', ' ', '', ':Returns:', '', ' **hist** : array', '', ' The values of the histogram. See ``normed`` and ``weights`` for a', ' description of the possible semantics.', '', ' **bin_edges** : array of dtype float', '', ' Return the bin edges ``(length(hist)+1)``.', '', '.. seealso::', '', ' ', ' :obj:`numpy.histogram`']:52: WARNING: py:obj reference target not found: numpy.histogram ['mad_std(data, axis=None, func=None, ignore_nan=False)', ':module: astropy.stats', '', '', '', 'Calculate a robust standard deviation using the `median absolute', 'deviation (MAD)', '`_.', '', 'The standard deviation estimator is given by:', '', '.. math::', '', ' \\sigma \\approx \\frac{\\textrm{MAD}}{\\Phi^{-1}(3/4)}', ' \\approx 1.4826 \\ \\textrm{MAD}', '', 'where :math:`\\Phi^{-1}(P)` is the normal inverse cumulative', 'distribution function evaluated at probability :math:`P = 3/4`.', '', ':Parameters:', '', ' **data** : array-like', '', ' Data array or object that can be converted to an array.', '', ' **axis** : {int, sequence of int, None}, optional', '', ' Axis along which the robust standard deviations are computed.', ' The default (`None`) is to compute the robust standard deviation', ' of the flattened array.', '', ' **func** : callable, optional', '', ' The function used to compute the median. Defaults to `numpy.ma.median`', ' for masked arrays, otherwise to `numpy.median`.', '', ' **ignore_nan** : bool', '', ' Ignore NaN values (treat them as if they are not in the array) when', ' computing the median. This will use `numpy.ma.median` if ``axis`` is', " specified, or `numpy.nanmedian` if ``axis=None`` and numpy's version is", ' >1.10 because nanmedian is slightly faster in this case.', '', ':Returns:', '', ' **mad_std** : float or `~numpy.ndarray`', '', ' The robust standard deviation of the input data. If ``axis`` is', ' `None` then a scalar will be returned, otherwise a', ' `~numpy.ndarray` will be returned.', '', '.. seealso::', '', ' ', ' :obj:`biweight_midvariance`, :obj:`biweight_midcovariance`, :obj:`median_absolute_deviation`', ' ', '.. rubric:: Examples', '', '', '>>> import numpy as np', '>>> from astropy.stats import mad_std', '>>> rand = np.random.RandomState(12345)', '>>> madstd = mad_std(rand.normal(5, 2, (100, 100)))', '>>> print(madstd) # doctest: +FLOAT_CMP', '2.0232764659422626']:25: WARNING: py:obj reference target not found: None ['mad_std(data, axis=None, func=None, ignore_nan=False)', ':module: astropy.stats', '', '', '', 'Calculate a robust standard deviation using the `median absolute', 'deviation (MAD)', '`_.', '', 'The standard deviation estimator is given by:', '', '.. math::', '', ' \\sigma \\approx \\frac{\\textrm{MAD}}{\\Phi^{-1}(3/4)}', ' \\approx 1.4826 \\ \\textrm{MAD}', '', 'where :math:`\\Phi^{-1}(P)` is the normal inverse cumulative', 'distribution function evaluated at probability :math:`P = 3/4`.', '', ':Parameters:', '', ' **data** : array-like', '', ' Data array or object that can be converted to an array.', '', ' **axis** : {int, sequence of int, None}, optional', '', ' Axis along which the robust standard deviations are computed.', ' The default (`None`) is to compute the robust standard deviation', ' of the flattened array.', '', ' **func** : callable, optional', '', ' The function used to compute the median. Defaults to `numpy.ma.median`', ' for masked arrays, otherwise to `numpy.median`.', '', ' **ignore_nan** : bool', '', ' Ignore NaN values (treat them as if they are not in the array) when', ' computing the median. This will use `numpy.ma.median` if ``axis`` is', " specified, or `numpy.nanmedian` if ``axis=None`` and numpy's version is", ' >1.10 because nanmedian is slightly faster in this case.', '', ':Returns:', '', ' **mad_std** : float or `~numpy.ndarray`', '', ' The robust standard deviation of the input data. If ``axis`` is', ' `None` then a scalar will be returned, otherwise a', ' `~numpy.ndarray` will be returned.', '', '.. seealso::', '', ' ', ' :obj:`biweight_midvariance`, :obj:`biweight_midcovariance`, :obj:`median_absolute_deviation`', ' ', '.. rubric:: Examples', '', '', '>>> import numpy as np', '>>> from astropy.stats import mad_std', '>>> rand = np.random.RandomState(12345)', '>>> madstd = mad_std(rand.normal(5, 2, (100, 100)))', '>>> print(madstd) # doctest: +FLOAT_CMP', '2.0232764659422626']:31: WARNING: py:obj reference target not found: numpy.ma.median ['mad_std(data, axis=None, func=None, ignore_nan=False)', ':module: astropy.stats', '', '', '', 'Calculate a robust standard deviation using the `median absolute', 'deviation (MAD)', '`_.', '', 'The standard deviation estimator is given by:', '', '.. math::', '', ' \\sigma \\approx \\frac{\\textrm{MAD}}{\\Phi^{-1}(3/4)}', ' \\approx 1.4826 \\ \\textrm{MAD}', '', 'where :math:`\\Phi^{-1}(P)` is the normal inverse cumulative', 'distribution function evaluated at probability :math:`P = 3/4`.', '', ':Parameters:', '', ' **data** : array-like', '', ' Data array or object that can be converted to an array.', '', ' **axis** : {int, sequence of int, None}, optional', '', ' Axis along which the robust standard deviations are computed.', ' The default (`None`) is to compute the robust standard deviation', ' of the flattened array.', '', ' **func** : callable, optional', '', ' The function used to compute the median. Defaults to `numpy.ma.median`', ' for masked arrays, otherwise to `numpy.median`.', '', ' **ignore_nan** : bool', '', ' Ignore NaN values (treat them as if they are not in the array) when', ' computing the median. This will use `numpy.ma.median` if ``axis`` is', " specified, or `numpy.nanmedian` if ``axis=None`` and numpy's version is", ' >1.10 because nanmedian is slightly faster in this case.', '', ':Returns:', '', ' **mad_std** : float or `~numpy.ndarray`', '', ' The robust standard deviation of the input data. If ``axis`` is', ' `None` then a scalar will be returned, otherwise a', ' `~numpy.ndarray` will be returned.', '', '.. seealso::', '', ' ', ' :obj:`biweight_midvariance`, :obj:`biweight_midcovariance`, :obj:`median_absolute_deviation`', ' ', '.. rubric:: Examples', '', '', '>>> import numpy as np', '>>> from astropy.stats import mad_std', '>>> rand = np.random.RandomState(12345)', '>>> madstd = mad_std(rand.normal(5, 2, (100, 100)))', '>>> print(madstd) # doctest: +FLOAT_CMP', '2.0232764659422626']:31: WARNING: py:obj reference target not found: numpy.median ['mad_std(data, axis=None, func=None, ignore_nan=False)', ':module: astropy.stats', '', '', '', 'Calculate a robust standard deviation using the `median absolute', 'deviation (MAD)', '`_.', '', 'The standard deviation estimator is given by:', '', '.. math::', '', ' \\sigma \\approx \\frac{\\textrm{MAD}}{\\Phi^{-1}(3/4)}', ' \\approx 1.4826 \\ \\textrm{MAD}', '', 'where :math:`\\Phi^{-1}(P)` is the normal inverse cumulative', 'distribution function evaluated at probability :math:`P = 3/4`.', '', ':Parameters:', '', ' **data** : array-like', '', ' Data array or object that can be converted to an array.', '', ' **axis** : {int, sequence of int, None}, optional', '', ' Axis along which the robust standard deviations are computed.', ' The default (`None`) is to compute the robust standard deviation', ' of the flattened array.', '', ' **func** : callable, optional', '', ' The function used to compute the median. Defaults to `numpy.ma.median`', ' for masked arrays, otherwise to `numpy.median`.', '', ' **ignore_nan** : bool', '', ' Ignore NaN values (treat them as if they are not in the array) when', ' computing the median. This will use `numpy.ma.median` if ``axis`` is', " specified, or `numpy.nanmedian` if ``axis=None`` and numpy's version is", ' >1.10 because nanmedian is slightly faster in this case.', '', ':Returns:', '', ' **mad_std** : float or `~numpy.ndarray`', '', ' The robust standard deviation of the input data. If ``axis`` is', ' `None` then a scalar will be returned, otherwise a', ' `~numpy.ndarray` will be returned.', '', '.. seealso::', '', ' ', ' :obj:`biweight_midvariance`, :obj:`biweight_midcovariance`, :obj:`median_absolute_deviation`', ' ', '.. rubric:: Examples', '', '', '>>> import numpy as np', '>>> from astropy.stats import mad_std', '>>> rand = np.random.RandomState(12345)', '>>> madstd = mad_std(rand.normal(5, 2, (100, 100)))', '>>> print(madstd) # doctest: +FLOAT_CMP', '2.0232764659422626']:36: WARNING: py:obj reference target not found: numpy.ma.median ['mad_std(data, axis=None, func=None, ignore_nan=False)', ':module: astropy.stats', '', '', '', 'Calculate a robust standard deviation using the `median absolute', 'deviation (MAD)', '`_.', '', 'The standard deviation estimator is given by:', '', '.. math::', '', ' \\sigma \\approx \\frac{\\textrm{MAD}}{\\Phi^{-1}(3/4)}', ' \\approx 1.4826 \\ \\textrm{MAD}', '', 'where :math:`\\Phi^{-1}(P)` is the normal inverse cumulative', 'distribution function evaluated at probability :math:`P = 3/4`.', '', ':Parameters:', '', ' **data** : array-like', '', ' Data array or object that can be converted to an array.', '', ' **axis** : {int, sequence of int, None}, optional', '', ' Axis along which the robust standard deviations are computed.', ' The default (`None`) is to compute the robust standard deviation', ' of the flattened array.', '', ' **func** : callable, optional', '', ' The function used to compute the median. Defaults to `numpy.ma.median`', ' for masked arrays, otherwise to `numpy.median`.', '', ' **ignore_nan** : bool', '', ' Ignore NaN values (treat them as if they are not in the array) when', ' computing the median. This will use `numpy.ma.median` if ``axis`` is', " specified, or `numpy.nanmedian` if ``axis=None`` and numpy's version is", ' >1.10 because nanmedian is slightly faster in this case.', '', ':Returns:', '', ' **mad_std** : float or `~numpy.ndarray`', '', ' The robust standard deviation of the input data. If ``axis`` is', ' `None` then a scalar will be returned, otherwise a', ' `~numpy.ndarray` will be returned.', '', '.. seealso::', '', ' ', ' :obj:`biweight_midvariance`, :obj:`biweight_midcovariance`, :obj:`median_absolute_deviation`', ' ', '.. rubric:: Examples', '', '', '>>> import numpy as np', '>>> from astropy.stats import mad_std', '>>> rand = np.random.RandomState(12345)', '>>> madstd = mad_std(rand.normal(5, 2, (100, 100)))', '>>> print(madstd) # doctest: +FLOAT_CMP', '2.0232764659422626']:36: WARNING: py:obj reference target not found: numpy.nanmedian ['mad_std(data, axis=None, func=None, ignore_nan=False)', ':module: astropy.stats', '', '', '', 'Calculate a robust standard deviation using the `median absolute', 'deviation (MAD)', '`_.', '', 'The standard deviation estimator is given by:', '', '.. math::', '', ' \\sigma \\approx \\frac{\\textrm{MAD}}{\\Phi^{-1}(3/4)}', ' \\approx 1.4826 \\ \\textrm{MAD}', '', 'where :math:`\\Phi^{-1}(P)` is the normal inverse cumulative', 'distribution function evaluated at probability :math:`P = 3/4`.', '', ':Parameters:', '', ' **data** : array-like', '', ' Data array or object that can be converted to an array.', '', ' **axis** : {int, sequence of int, None}, optional', '', ' Axis along which the robust standard deviations are computed.', ' The default (`None`) is to compute the robust standard deviation', ' of the flattened array.', '', ' **func** : callable, optional', '', ' The function used to compute the median. Defaults to `numpy.ma.median`', ' for masked arrays, otherwise to `numpy.median`.', '', ' **ignore_nan** : bool', '', ' Ignore NaN values (treat them as if they are not in the array) when', ' computing the median. This will use `numpy.ma.median` if ``axis`` is', " specified, or `numpy.nanmedian` if ``axis=None`` and numpy's version is", ' >1.10 because nanmedian is slightly faster in this case.', '', ':Returns:', '', ' **mad_std** : float or `~numpy.ndarray`', '', ' The robust standard deviation of the input data. If ``axis`` is', ' `None` then a scalar will be returned, otherwise a', ' `~numpy.ndarray` will be returned.', '', '.. seealso::', '', ' ', ' :obj:`biweight_midvariance`, :obj:`biweight_midcovariance`, :obj:`median_absolute_deviation`', ' ', '.. rubric:: Examples', '', '', '>>> import numpy as np', '>>> from astropy.stats import mad_std', '>>> rand = np.random.RandomState(12345)', '>>> madstd = mad_std(rand.normal(5, 2, (100, 100)))', '>>> print(madstd) # doctest: +FLOAT_CMP', '2.0232764659422626']:43: WARNING: py:obj reference target not found: numpy.ndarray ['mad_std(data, axis=None, func=None, ignore_nan=False)', ':module: astropy.stats', '', '', '', 'Calculate a robust standard deviation using the `median absolute', 'deviation (MAD)', '`_.', '', 'The standard deviation estimator is given by:', '', '.. math::', '', ' \\sigma \\approx \\frac{\\textrm{MAD}}{\\Phi^{-1}(3/4)}', ' \\approx 1.4826 \\ \\textrm{MAD}', '', 'where :math:`\\Phi^{-1}(P)` is the normal inverse cumulative', 'distribution function evaluated at probability :math:`P = 3/4`.', '', ':Parameters:', '', ' **data** : array-like', '', ' Data array or object that can be converted to an array.', '', ' **axis** : {int, sequence of int, None}, optional', '', ' Axis along which the robust standard deviations are computed.', ' The default (`None`) is to compute the robust standard deviation', ' of the flattened array.', '', ' **func** : callable, optional', '', ' The function used to compute the median. Defaults to `numpy.ma.median`', ' for masked arrays, otherwise to `numpy.median`.', '', ' **ignore_nan** : bool', '', ' Ignore NaN values (treat them as if they are not in the array) when', ' computing the median. This will use `numpy.ma.median` if ``axis`` is', " specified, or `numpy.nanmedian` if ``axis=None`` and numpy's version is", ' >1.10 because nanmedian is slightly faster in this case.', '', ':Returns:', '', ' **mad_std** : float or `~numpy.ndarray`', '', ' The robust standard deviation of the input data. If ``axis`` is', ' `None` then a scalar will be returned, otherwise a', ' `~numpy.ndarray` will be returned.', '', '.. seealso::', '', ' ', ' :obj:`biweight_midvariance`, :obj:`biweight_midcovariance`, :obj:`median_absolute_deviation`', ' ', '.. rubric:: Examples', '', '', '>>> import numpy as np', '>>> from astropy.stats import mad_std', '>>> rand = np.random.RandomState(12345)', '>>> madstd = mad_std(rand.normal(5, 2, (100, 100)))', '>>> print(madstd) # doctest: +FLOAT_CMP', '2.0232764659422626']:45: WARNING: py:obj reference target not found: None ['mad_std(data, axis=None, func=None, ignore_nan=False)', ':module: astropy.stats', '', '', '', 'Calculate a robust standard deviation using the `median absolute', 'deviation (MAD)', '`_.', '', 'The standard deviation estimator is given by:', '', '.. math::', '', ' \\sigma \\approx \\frac{\\textrm{MAD}}{\\Phi^{-1}(3/4)}', ' \\approx 1.4826 \\ \\textrm{MAD}', '', 'where :math:`\\Phi^{-1}(P)` is the normal inverse cumulative', 'distribution function evaluated at probability :math:`P = 3/4`.', '', ':Parameters:', '', ' **data** : array-like', '', ' Data array or object that can be converted to an array.', '', ' **axis** : {int, sequence of int, None}, optional', '', ' Axis along which the robust standard deviations are computed.', ' The default (`None`) is to compute the robust standard deviation', ' of the flattened array.', '', ' **func** : callable, optional', '', ' The function used to compute the median. Defaults to `numpy.ma.median`', ' for masked arrays, otherwise to `numpy.median`.', '', ' **ignore_nan** : bool', '', ' Ignore NaN values (treat them as if they are not in the array) when', ' computing the median. This will use `numpy.ma.median` if ``axis`` is', " specified, or `numpy.nanmedian` if ``axis=None`` and numpy's version is", ' >1.10 because nanmedian is slightly faster in this case.', '', ':Returns:', '', ' **mad_std** : float or `~numpy.ndarray`', '', ' The robust standard deviation of the input data. If ``axis`` is', ' `None` then a scalar will be returned, otherwise a', ' `~numpy.ndarray` will be returned.', '', '.. seealso::', '', ' ', ' :obj:`biweight_midvariance`, :obj:`biweight_midcovariance`, :obj:`median_absolute_deviation`', ' ', '.. rubric:: Examples', '', '', '>>> import numpy as np', '>>> from astropy.stats import mad_std', '>>> rand = np.random.RandomState(12345)', '>>> madstd = mad_std(rand.normal(5, 2, (100, 100)))', '>>> print(madstd) # doctest: +FLOAT_CMP', '2.0232764659422626']:45: WARNING: py:obj reference target not found: numpy.ndarray ['median_absolute_deviation(data, axis=None, func=None, ignore_nan=False)', ':module: astropy.stats', '', '', '', 'Calculate the median absolute deviation (MAD).', '', 'The MAD is defined as ``median(abs(a - median(a)))``.', '', ':Parameters:', '', ' **data** : array-like', '', ' Input array or object that can be converted to an array.', '', ' **axis** : {int, sequence of int, None}, optional', '', ' Axis along which the MADs are computed. The default (`None`) is', ' to compute the MAD of the flattened array.', '', ' **func** : callable, optional', '', ' The function used to compute the median. Defaults to `numpy.ma.median`', ' for masked arrays, otherwise to `numpy.median`.', '', ' **ignore_nan** : bool', '', ' Ignore NaN values (treat them as if they are not in the array) when', ' computing the median. This will use `numpy.ma.median` if ``axis`` is', " specified, or `numpy.nanmedian` if ``axis==None`` and numpy's version", ' is >1.10 because nanmedian is slightly faster in this case.', '', ':Returns:', '', ' **mad** : float or `~numpy.ndarray`', '', ' The median absolute deviation of the input array. If ``axis``', ' is `None` then a scalar will be returned, otherwise a', ' `~numpy.ndarray` will be returned.', '', '.. seealso::', '', ' ', ' :obj:`mad_std`', ' ', '.. rubric:: Examples', '', '', 'Generate random variates from a Gaussian distribution and return the', 'median absolute deviation for that distribution::', '', ' >>> import numpy as np', ' >>> from astropy.stats import median_absolute_deviation', ' >>> rand = np.random.RandomState(12345)', ' >>> from numpy.random import randn', ' >>> mad = median_absolute_deviation(rand.randn(1000))', ' >>> print(mad) # doctest: +FLOAT_CMP', ' 0.65244241428454486']:15: WARNING: py:obj reference target not found: None ['median_absolute_deviation(data, axis=None, func=None, ignore_nan=False)', ':module: astropy.stats', '', '', '', 'Calculate the median absolute deviation (MAD).', '', 'The MAD is defined as ``median(abs(a - median(a)))``.', '', ':Parameters:', '', ' **data** : array-like', '', ' Input array or object that can be converted to an array.', '', ' **axis** : {int, sequence of int, None}, optional', '', ' Axis along which the MADs are computed. The default (`None`) is', ' to compute the MAD of the flattened array.', '', ' **func** : callable, optional', '', ' The function used to compute the median. Defaults to `numpy.ma.median`', ' for masked arrays, otherwise to `numpy.median`.', '', ' **ignore_nan** : bool', '', ' Ignore NaN values (treat them as if they are not in the array) when', ' computing the median. This will use `numpy.ma.median` if ``axis`` is', " specified, or `numpy.nanmedian` if ``axis==None`` and numpy's version", ' is >1.10 because nanmedian is slightly faster in this case.', '', ':Returns:', '', ' **mad** : float or `~numpy.ndarray`', '', ' The median absolute deviation of the input array. If ``axis``', ' is `None` then a scalar will be returned, otherwise a', ' `~numpy.ndarray` will be returned.', '', '.. seealso::', '', ' ', ' :obj:`mad_std`', ' ', '.. rubric:: Examples', '', '', 'Generate random variates from a Gaussian distribution and return the', 'median absolute deviation for that distribution::', '', ' >>> import numpy as np', ' >>> from astropy.stats import median_absolute_deviation', ' >>> rand = np.random.RandomState(12345)', ' >>> from numpy.random import randn', ' >>> mad = median_absolute_deviation(rand.randn(1000))', ' >>> print(mad) # doctest: +FLOAT_CMP', ' 0.65244241428454486']:20: WARNING: py:obj reference target not found: numpy.ma.median ['median_absolute_deviation(data, axis=None, func=None, ignore_nan=False)', ':module: astropy.stats', '', '', '', 'Calculate the median absolute deviation (MAD).', '', 'The MAD is defined as ``median(abs(a - median(a)))``.', '', ':Parameters:', '', ' **data** : array-like', '', ' Input array or object that can be converted to an array.', '', ' **axis** : {int, sequence of int, None}, optional', '', ' Axis along which the MADs are computed. The default (`None`) is', ' to compute the MAD of the flattened array.', '', ' **func** : callable, optional', '', ' The function used to compute the median. Defaults to `numpy.ma.median`', ' for masked arrays, otherwise to `numpy.median`.', '', ' **ignore_nan** : bool', '', ' Ignore NaN values (treat them as if they are not in the array) when', ' computing the median. This will use `numpy.ma.median` if ``axis`` is', " specified, or `numpy.nanmedian` if ``axis==None`` and numpy's version", ' is >1.10 because nanmedian is slightly faster in this case.', '', ':Returns:', '', ' **mad** : float or `~numpy.ndarray`', '', ' The median absolute deviation of the input array. If ``axis``', ' is `None` then a scalar will be returned, otherwise a', ' `~numpy.ndarray` will be returned.', '', '.. seealso::', '', ' ', ' :obj:`mad_std`', ' ', '.. rubric:: Examples', '', '', 'Generate random variates from a Gaussian distribution and return the', 'median absolute deviation for that distribution::', '', ' >>> import numpy as np', ' >>> from astropy.stats import median_absolute_deviation', ' >>> rand = np.random.RandomState(12345)', ' >>> from numpy.random import randn', ' >>> mad = median_absolute_deviation(rand.randn(1000))', ' >>> print(mad) # doctest: +FLOAT_CMP', ' 0.65244241428454486']:20: WARNING: py:obj reference target not found: numpy.median ['median_absolute_deviation(data, axis=None, func=None, ignore_nan=False)', ':module: astropy.stats', '', '', '', 'Calculate the median absolute deviation (MAD).', '', 'The MAD is defined as ``median(abs(a - median(a)))``.', '', ':Parameters:', '', ' **data** : array-like', '', ' Input array or object that can be converted to an array.', '', ' **axis** : {int, sequence of int, None}, optional', '', ' Axis along which the MADs are computed. The default (`None`) is', ' to compute the MAD of the flattened array.', '', ' **func** : callable, optional', '', ' The function used to compute the median. Defaults to `numpy.ma.median`', ' for masked arrays, otherwise to `numpy.median`.', '', ' **ignore_nan** : bool', '', ' Ignore NaN values (treat them as if they are not in the array) when', ' computing the median. This will use `numpy.ma.median` if ``axis`` is', " specified, or `numpy.nanmedian` if ``axis==None`` and numpy's version", ' is >1.10 because nanmedian is slightly faster in this case.', '', ':Returns:', '', ' **mad** : float or `~numpy.ndarray`', '', ' The median absolute deviation of the input array. If ``axis``', ' is `None` then a scalar will be returned, otherwise a', ' `~numpy.ndarray` will be returned.', '', '.. seealso::', '', ' ', ' :obj:`mad_std`', ' ', '.. rubric:: Examples', '', '', 'Generate random variates from a Gaussian distribution and return the', 'median absolute deviation for that distribution::', '', ' >>> import numpy as np', ' >>> from astropy.stats import median_absolute_deviation', ' >>> rand = np.random.RandomState(12345)', ' >>> from numpy.random import randn', ' >>> mad = median_absolute_deviation(rand.randn(1000))', ' >>> print(mad) # doctest: +FLOAT_CMP', ' 0.65244241428454486']:25: WARNING: py:obj reference target not found: numpy.ma.median ['median_absolute_deviation(data, axis=None, func=None, ignore_nan=False)', ':module: astropy.stats', '', '', '', 'Calculate the median absolute deviation (MAD).', '', 'The MAD is defined as ``median(abs(a - median(a)))``.', '', ':Parameters:', '', ' **data** : array-like', '', ' Input array or object that can be converted to an array.', '', ' **axis** : {int, sequence of int, None}, optional', '', ' Axis along which the MADs are computed. The default (`None`) is', ' to compute the MAD of the flattened array.', '', ' **func** : callable, optional', '', ' The function used to compute the median. Defaults to `numpy.ma.median`', ' for masked arrays, otherwise to `numpy.median`.', '', ' **ignore_nan** : bool', '', ' Ignore NaN values (treat them as if they are not in the array) when', ' computing the median. This will use `numpy.ma.median` if ``axis`` is', " specified, or `numpy.nanmedian` if ``axis==None`` and numpy's version", ' is >1.10 because nanmedian is slightly faster in this case.', '', ':Returns:', '', ' **mad** : float or `~numpy.ndarray`', '', ' The median absolute deviation of the input array. If ``axis``', ' is `None` then a scalar will be returned, otherwise a', ' `~numpy.ndarray` will be returned.', '', '.. seealso::', '', ' ', ' :obj:`mad_std`', ' ', '.. rubric:: Examples', '', '', 'Generate random variates from a Gaussian distribution and return the', 'median absolute deviation for that distribution::', '', ' >>> import numpy as np', ' >>> from astropy.stats import median_absolute_deviation', ' >>> rand = np.random.RandomState(12345)', ' >>> from numpy.random import randn', ' >>> mad = median_absolute_deviation(rand.randn(1000))', ' >>> print(mad) # doctest: +FLOAT_CMP', ' 0.65244241428454486']:25: WARNING: py:obj reference target not found: numpy.nanmedian ['median_absolute_deviation(data, axis=None, func=None, ignore_nan=False)', ':module: astropy.stats', '', '', '', 'Calculate the median absolute deviation (MAD).', '', 'The MAD is defined as ``median(abs(a - median(a)))``.', '', ':Parameters:', '', ' **data** : array-like', '', ' Input array or object that can be converted to an array.', '', ' **axis** : {int, sequence of int, None}, optional', '', ' Axis along which the MADs are computed. The default (`None`) is', ' to compute the MAD of the flattened array.', '', ' **func** : callable, optional', '', ' The function used to compute the median. Defaults to `numpy.ma.median`', ' for masked arrays, otherwise to `numpy.median`.', '', ' **ignore_nan** : bool', '', ' Ignore NaN values (treat them as if they are not in the array) when', ' computing the median. This will use `numpy.ma.median` if ``axis`` is', " specified, or `numpy.nanmedian` if ``axis==None`` and numpy's version", ' is >1.10 because nanmedian is slightly faster in this case.', '', ':Returns:', '', ' **mad** : float or `~numpy.ndarray`', '', ' The median absolute deviation of the input array. If ``axis``', ' is `None` then a scalar will be returned, otherwise a', ' `~numpy.ndarray` will be returned.', '', '.. seealso::', '', ' ', ' :obj:`mad_std`', ' ', '.. rubric:: Examples', '', '', 'Generate random variates from a Gaussian distribution and return the', 'median absolute deviation for that distribution::', '', ' >>> import numpy as np', ' >>> from astropy.stats import median_absolute_deviation', ' >>> rand = np.random.RandomState(12345)', ' >>> from numpy.random import randn', ' >>> mad = median_absolute_deviation(rand.randn(1000))', ' >>> print(mad) # doctest: +FLOAT_CMP', ' 0.65244241428454486']:32: WARNING: py:obj reference target not found: numpy.ndarray ['median_absolute_deviation(data, axis=None, func=None, ignore_nan=False)', ':module: astropy.stats', '', '', '', 'Calculate the median absolute deviation (MAD).', '', 'The MAD is defined as ``median(abs(a - median(a)))``.', '', ':Parameters:', '', ' **data** : array-like', '', ' Input array or object that can be converted to an array.', '', ' **axis** : {int, sequence of int, None}, optional', '', ' Axis along which the MADs are computed. The default (`None`) is', ' to compute the MAD of the flattened array.', '', ' **func** : callable, optional', '', ' The function used to compute the median. Defaults to `numpy.ma.median`', ' for masked arrays, otherwise to `numpy.median`.', '', ' **ignore_nan** : bool', '', ' Ignore NaN values (treat them as if they are not in the array) when', ' computing the median. This will use `numpy.ma.median` if ``axis`` is', " specified, or `numpy.nanmedian` if ``axis==None`` and numpy's version", ' is >1.10 because nanmedian is slightly faster in this case.', '', ':Returns:', '', ' **mad** : float or `~numpy.ndarray`', '', ' The median absolute deviation of the input array. If ``axis``', ' is `None` then a scalar will be returned, otherwise a', ' `~numpy.ndarray` will be returned.', '', '.. seealso::', '', ' ', ' :obj:`mad_std`', ' ', '.. rubric:: Examples', '', '', 'Generate random variates from a Gaussian distribution and return the', 'median absolute deviation for that distribution::', '', ' >>> import numpy as np', ' >>> from astropy.stats import median_absolute_deviation', ' >>> rand = np.random.RandomState(12345)', ' >>> from numpy.random import randn', ' >>> mad = median_absolute_deviation(rand.randn(1000))', ' >>> print(mad) # doctest: +FLOAT_CMP', ' 0.65244241428454486']:34: WARNING: py:obj reference target not found: None ['median_absolute_deviation(data, axis=None, func=None, ignore_nan=False)', ':module: astropy.stats', '', '', '', 'Calculate the median absolute deviation (MAD).', '', 'The MAD is defined as ``median(abs(a - median(a)))``.', '', ':Parameters:', '', ' **data** : array-like', '', ' Input array or object that can be converted to an array.', '', ' **axis** : {int, sequence of int, None}, optional', '', ' Axis along which the MADs are computed. The default (`None`) is', ' to compute the MAD of the flattened array.', '', ' **func** : callable, optional', '', ' The function used to compute the median. Defaults to `numpy.ma.median`', ' for masked arrays, otherwise to `numpy.median`.', '', ' **ignore_nan** : bool', '', ' Ignore NaN values (treat them as if they are not in the array) when', ' computing the median. This will use `numpy.ma.median` if ``axis`` is', " specified, or `numpy.nanmedian` if ``axis==None`` and numpy's version", ' is >1.10 because nanmedian is slightly faster in this case.', '', ':Returns:', '', ' **mad** : float or `~numpy.ndarray`', '', ' The median absolute deviation of the input array. If ``axis``', ' is `None` then a scalar will be returned, otherwise a', ' `~numpy.ndarray` will be returned.', '', '.. seealso::', '', ' ', ' :obj:`mad_std`', ' ', '.. rubric:: Examples', '', '', 'Generate random variates from a Gaussian distribution and return the', 'median absolute deviation for that distribution::', '', ' >>> import numpy as np', ' >>> from astropy.stats import median_absolute_deviation', ' >>> rand = np.random.RandomState(12345)', ' >>> from numpy.random import randn', ' >>> mad = median_absolute_deviation(rand.randn(1000))', ' >>> print(mad) # doctest: +FLOAT_CMP', ' 0.65244241428454486']:34: WARNING: py:obj reference target not found: numpy.ndarray ['sigma_clip(data, sigma=3, sigma_lower=None, sigma_upper=None, iters=5, cenfunc=, stdfunc=, axis=None, copy=True)', ':module: astropy.stats', '', '', '', 'Perform sigma-clipping on the provided data.', '', 'The data will be iterated over, each time rejecting points that are', 'discrepant by more than a specified number of standard deviations from a', 'center value. If the data contains invalid values (NaNs or infs),', 'they are automatically masked before performing the sigma clipping.', '', 'For an object-oriented interface to sigma clipping, see', ':func:`SigmaClip`.', '', '.. note::', ' `scipy.stats.sigmaclip', ' `_', ' provides a subset of the functionality in this function.', '', ':Parameters:', '', ' **data** : array-like', '', ' The data to be sigma clipped.', '', ' **sigma** : float, optional', '', ' The number of standard deviations to use for both the lower and', ' upper clipping limit. These limits are overridden by', ' ``sigma_lower`` and ``sigma_upper``, if input. Defaults to 3.', '', ' **sigma_lower** : float or `None`, optional', '', ' The number of standard deviations to use as the lower bound for', ' the clipping limit. If `None` then the value of ``sigma`` is', ' used. Defaults to `None`.', '', ' **sigma_upper** : float or `None`, optional', '', ' The number of standard deviations to use as the upper bound for', ' the clipping limit. If `None` then the value of ``sigma`` is', ' used. Defaults to `None`.', '', ' **iters** : int or `None`, optional', '', ' The number of iterations to perform sigma clipping, or `None` to', ' clip until convergence is achieved (i.e., continue until the', ' last iteration clips nothing). Defaults to 5.', '', ' **cenfunc** : callable, optional', '', ' The function used to compute the center for the clipping. Must', ' be a callable that takes in a masked array and outputs the', ' central value. Defaults to the median (`numpy.ma.median`).', '', ' **stdfunc** : callable, optional', '', ' The function used to compute the standard deviation about the', ' center. Must be a callable that takes in a masked array and', ' outputs a width estimator. Masked (rejected) pixels are those', ' where::', ' ', ' deviation < (-sigma_lower * stdfunc(deviation))', ' deviation > (sigma_upper * stdfunc(deviation))', ' ', ' where::', ' ', ' deviation = data - cenfunc(data [,axis=int])', ' ', ' Defaults to the standard deviation (`numpy.std`).', '', ' **axis** : int or `None`, optional', '', ' If not `None`, clip along the given axis. For this case,', ' ``axis`` will be passed on to ``cenfunc`` and ``stdfunc``, which', ' are expected to return an array with the axis dimension removed', ' (like the numpy functions). If `None`, clip over all axes.', ' Defaults to `None`.', '', ' **copy** : bool, optional', '', ' If `True`, the ``data`` array will be copied. If `False`, the', ' returned masked array data will contain the same array as', ' ``data``. Defaults to `True`.', '', ':Returns:', '', ' **filtered_data** : `numpy.ma.MaskedArray`', '', ' A masked array with the same shape as ``data`` input, where the', ' points rejected by the algorithm have been masked.', '', '.. seealso::', '', ' ', ' :obj:`SigmaClip`', ' ', '.. rubric:: Notes', '', '', '1. The routine works by calculating::', '', ' deviation = data - cenfunc(data [,axis=int])', '', ' and then setting a mask for points outside the range::', '', ' deviation < (-sigma_lower * stdfunc(deviation))', ' deviation > (sigma_upper * stdfunc(deviation))', '', ' It will iterate a given number of times, or until no further', ' data are rejected.', '', '2. Most numpy functions deal well with masked arrays, but if one', ' would like to have an array with just the good (or bad) values, one', ' can use::', '', ' good_only = filtered_data.data[~filtered_data.mask]', ' bad_only = filtered_data.data[filtered_data.mask]', '', ' However, for multidimensional data, this flattens the array,', ' which may not be what one wants (especially if filtering was', ' done along an axis).', '', '.. rubric:: Examples', '', '', 'This example generates random variates from a Gaussian distribution', 'and returns a masked array in which all points that are more than 2', 'sample standard deviations from the median are masked::', '', ' >>> from astropy.stats import sigma_clip', ' >>> from numpy.random import randn', ' >>> randvar = randn(10000)', ' >>> filtered_data = sigma_clip(randvar, sigma=2, iters=5)', '', 'This example sigma clips on a similar distribution, but uses 3 sigma', 'relative to the sample *mean*, clips until convergence, and does not', 'copy the data::', '', ' >>> from astropy.stats import sigma_clip', ' >>> from numpy.random import randn', ' >>> from numpy import mean', ' >>> randvar = randn(10000)', ' >>> filtered_data = sigma_clip(randvar, sigma=3, iters=None,', ' ... cenfunc=mean, copy=False)', '', 'This example sigma clips along one axis on a similar distribution', '(with bad points inserted)::', '', ' >>> from astropy.stats import sigma_clip', ' >>> from numpy.random import normal', ' >>> from numpy import arange, diag, ones', ' >>> data = arange(5) + normal(0., 0.05, (5, 5)) + diag(ones(5))', ' >>> filtered_data = sigma_clip(data, sigma=2.3, axis=0)', '', 'Note that along the other axis, no points would be masked, as the', 'variance is higher.']:30: WARNING: py:obj reference target not found: None ['sigma_clip(data, sigma=3, sigma_lower=None, sigma_upper=None, iters=5, cenfunc=, stdfunc=, axis=None, copy=True)', ':module: astropy.stats', '', '', '', 'Perform sigma-clipping on the provided data.', '', 'The data will be iterated over, each time rejecting points that are', 'discrepant by more than a specified number of standard deviations from a', 'center value. If the data contains invalid values (NaNs or infs),', 'they are automatically masked before performing the sigma clipping.', '', 'For an object-oriented interface to sigma clipping, see', ':func:`SigmaClip`.', '', '.. note::', ' `scipy.stats.sigmaclip', ' `_', ' provides a subset of the functionality in this function.', '', ':Parameters:', '', ' **data** : array-like', '', ' The data to be sigma clipped.', '', ' **sigma** : float, optional', '', ' The number of standard deviations to use for both the lower and', ' upper clipping limit. These limits are overridden by', ' ``sigma_lower`` and ``sigma_upper``, if input. Defaults to 3.', '', ' **sigma_lower** : float or `None`, optional', '', ' The number of standard deviations to use as the lower bound for', ' the clipping limit. If `None` then the value of ``sigma`` is', ' used. Defaults to `None`.', '', ' **sigma_upper** : float or `None`, optional', '', ' The number of standard deviations to use as the upper bound for', ' the clipping limit. If `None` then the value of ``sigma`` is', ' used. Defaults to `None`.', '', ' **iters** : int or `None`, optional', '', ' The number of iterations to perform sigma clipping, or `None` to', ' clip until convergence is achieved (i.e., continue until the', ' last iteration clips nothing). Defaults to 5.', '', ' **cenfunc** : callable, optional', '', ' The function used to compute the center for the clipping. Must', ' be a callable that takes in a masked array and outputs the', ' central value. Defaults to the median (`numpy.ma.median`).', '', ' **stdfunc** : callable, optional', '', ' The function used to compute the standard deviation about the', ' center. Must be a callable that takes in a masked array and', ' outputs a width estimator. Masked (rejected) pixels are those', ' where::', ' ', ' deviation < (-sigma_lower * stdfunc(deviation))', ' deviation > (sigma_upper * stdfunc(deviation))', ' ', ' where::', ' ', ' deviation = data - cenfunc(data [,axis=int])', ' ', ' Defaults to the standard deviation (`numpy.std`).', '', ' **axis** : int or `None`, optional', '', ' If not `None`, clip along the given axis. For this case,', ' ``axis`` will be passed on to ``cenfunc`` and ``stdfunc``, which', ' are expected to return an array with the axis dimension removed', ' (like the numpy functions). If `None`, clip over all axes.', ' Defaults to `None`.', '', ' **copy** : bool, optional', '', ' If `True`, the ``data`` array will be copied. If `False`, the', ' returned masked array data will contain the same array as', ' ``data``. Defaults to `True`.', '', ':Returns:', '', ' **filtered_data** : `numpy.ma.MaskedArray`', '', ' A masked array with the same shape as ``data`` input, where the', ' points rejected by the algorithm have been masked.', '', '.. seealso::', '', ' ', ' :obj:`SigmaClip`', ' ', '.. rubric:: Notes', '', '', '1. The routine works by calculating::', '', ' deviation = data - cenfunc(data [,axis=int])', '', ' and then setting a mask for points outside the range::', '', ' deviation < (-sigma_lower * stdfunc(deviation))', ' deviation > (sigma_upper * stdfunc(deviation))', '', ' It will iterate a given number of times, or until no further', ' data are rejected.', '', '2. Most numpy functions deal well with masked arrays, but if one', ' would like to have an array with just the good (or bad) values, one', ' can use::', '', ' good_only = filtered_data.data[~filtered_data.mask]', ' bad_only = filtered_data.data[filtered_data.mask]', '', ' However, for multidimensional data, this flattens the array,', ' which may not be what one wants (especially if filtering was', ' done along an axis).', '', '.. rubric:: Examples', '', '', 'This example generates random variates from a Gaussian distribution', 'and returns a masked array in which all points that are more than 2', 'sample standard deviations from the median are masked::', '', ' >>> from astropy.stats import sigma_clip', ' >>> from numpy.random import randn', ' >>> randvar = randn(10000)', ' >>> filtered_data = sigma_clip(randvar, sigma=2, iters=5)', '', 'This example sigma clips on a similar distribution, but uses 3 sigma', 'relative to the sample *mean*, clips until convergence, and does not', 'copy the data::', '', ' >>> from astropy.stats import sigma_clip', ' >>> from numpy.random import randn', ' >>> from numpy import mean', ' >>> randvar = randn(10000)', ' >>> filtered_data = sigma_clip(randvar, sigma=3, iters=None,', ' ... cenfunc=mean, copy=False)', '', 'This example sigma clips along one axis on a similar distribution', '(with bad points inserted)::', '', ' >>> from astropy.stats import sigma_clip', ' >>> from numpy.random import normal', ' >>> from numpy import arange, diag, ones', ' >>> data = arange(5) + normal(0., 0.05, (5, 5)) + diag(ones(5))', ' >>> filtered_data = sigma_clip(data, sigma=2.3, axis=0)', '', 'Note that along the other axis, no points would be masked, as the', 'variance is higher.']:32: WARNING: py:obj reference target not found: None ['sigma_clip(data, sigma=3, sigma_lower=None, sigma_upper=None, iters=5, cenfunc=, stdfunc=, axis=None, copy=True)', ':module: astropy.stats', '', '', '', 'Perform sigma-clipping on the provided data.', '', 'The data will be iterated over, each time rejecting points that are', 'discrepant by more than a specified number of standard deviations from a', 'center value. If the data contains invalid values (NaNs or infs),', 'they are automatically masked before performing the sigma clipping.', '', 'For an object-oriented interface to sigma clipping, see', ':func:`SigmaClip`.', '', '.. note::', ' `scipy.stats.sigmaclip', ' `_', ' provides a subset of the functionality in this function.', '', ':Parameters:', '', ' **data** : array-like', '', ' The data to be sigma clipped.', '', ' **sigma** : float, optional', '', ' The number of standard deviations to use for both the lower and', ' upper clipping limit. These limits are overridden by', ' ``sigma_lower`` and ``sigma_upper``, if input. Defaults to 3.', '', ' **sigma_lower** : float or `None`, optional', '', ' The number of standard deviations to use as the lower bound for', ' the clipping limit. If `None` then the value of ``sigma`` is', ' used. Defaults to `None`.', '', ' **sigma_upper** : float or `None`, optional', '', ' The number of standard deviations to use as the upper bound for', ' the clipping limit. If `None` then the value of ``sigma`` is', ' used. Defaults to `None`.', '', ' **iters** : int or `None`, optional', '', ' The number of iterations to perform sigma clipping, or `None` to', ' clip until convergence is achieved (i.e., continue until the', ' last iteration clips nothing). Defaults to 5.', '', ' **cenfunc** : callable, optional', '', ' The function used to compute the center for the clipping. Must', ' be a callable that takes in a masked array and outputs the', ' central value. Defaults to the median (`numpy.ma.median`).', '', ' **stdfunc** : callable, optional', '', ' The function used to compute the standard deviation about the', ' center. Must be a callable that takes in a masked array and', ' outputs a width estimator. Masked (rejected) pixels are those', ' where::', ' ', ' deviation < (-sigma_lower * stdfunc(deviation))', ' deviation > (sigma_upper * stdfunc(deviation))', ' ', ' where::', ' ', ' deviation = data - cenfunc(data [,axis=int])', ' ', ' Defaults to the standard deviation (`numpy.std`).', '', ' **axis** : int or `None`, optional', '', ' If not `None`, clip along the given axis. For this case,', ' ``axis`` will be passed on to ``cenfunc`` and ``stdfunc``, which', ' are expected to return an array with the axis dimension removed', ' (like the numpy functions). If `None`, clip over all axes.', ' Defaults to `None`.', '', ' **copy** : bool, optional', '', ' If `True`, the ``data`` array will be copied. If `False`, the', ' returned masked array data will contain the same array as', ' ``data``. Defaults to `True`.', '', ':Returns:', '', ' **filtered_data** : `numpy.ma.MaskedArray`', '', ' A masked array with the same shape as ``data`` input, where the', ' points rejected by the algorithm have been masked.', '', '.. seealso::', '', ' ', ' :obj:`SigmaClip`', ' ', '.. rubric:: Notes', '', '', '1. The routine works by calculating::', '', ' deviation = data - cenfunc(data [,axis=int])', '', ' and then setting a mask for points outside the range::', '', ' deviation < (-sigma_lower * stdfunc(deviation))', ' deviation > (sigma_upper * stdfunc(deviation))', '', ' It will iterate a given number of times, or until no further', ' data are rejected.', '', '2. Most numpy functions deal well with masked arrays, but if one', ' would like to have an array with just the good (or bad) values, one', ' can use::', '', ' good_only = filtered_data.data[~filtered_data.mask]', ' bad_only = filtered_data.data[filtered_data.mask]', '', ' However, for multidimensional data, this flattens the array,', ' which may not be what one wants (especially if filtering was', ' done along an axis).', '', '.. rubric:: Examples', '', '', 'This example generates random variates from a Gaussian distribution', 'and returns a masked array in which all points that are more than 2', 'sample standard deviations from the median are masked::', '', ' >>> from astropy.stats import sigma_clip', ' >>> from numpy.random import randn', ' >>> randvar = randn(10000)', ' >>> filtered_data = sigma_clip(randvar, sigma=2, iters=5)', '', 'This example sigma clips on a similar distribution, but uses 3 sigma', 'relative to the sample *mean*, clips until convergence, and does not', 'copy the data::', '', ' >>> from astropy.stats import sigma_clip', ' >>> from numpy.random import randn', ' >>> from numpy import mean', ' >>> randvar = randn(10000)', ' >>> filtered_data = sigma_clip(randvar, sigma=3, iters=None,', ' ... cenfunc=mean, copy=False)', '', 'This example sigma clips along one axis on a similar distribution', '(with bad points inserted)::', '', ' >>> from astropy.stats import sigma_clip', ' >>> from numpy.random import normal', ' >>> from numpy import arange, diag, ones', ' >>> data = arange(5) + normal(0., 0.05, (5, 5)) + diag(ones(5))', ' >>> filtered_data = sigma_clip(data, sigma=2.3, axis=0)', '', 'Note that along the other axis, no points would be masked, as the', 'variance is higher.']:32: WARNING: py:obj reference target not found: None ['sigma_clip(data, sigma=3, sigma_lower=None, sigma_upper=None, iters=5, cenfunc=, stdfunc=, axis=None, copy=True)', ':module: astropy.stats', '', '', '', 'Perform sigma-clipping on the provided data.', '', 'The data will be iterated over, each time rejecting points that are', 'discrepant by more than a specified number of standard deviations from a', 'center value. If the data contains invalid values (NaNs or infs),', 'they are automatically masked before performing the sigma clipping.', '', 'For an object-oriented interface to sigma clipping, see', ':func:`SigmaClip`.', '', '.. note::', ' `scipy.stats.sigmaclip', ' `_', ' provides a subset of the functionality in this function.', '', ':Parameters:', '', ' **data** : array-like', '', ' The data to be sigma clipped.', '', ' **sigma** : float, optional', '', ' The number of standard deviations to use for both the lower and', ' upper clipping limit. These limits are overridden by', ' ``sigma_lower`` and ``sigma_upper``, if input. Defaults to 3.', '', ' **sigma_lower** : float or `None`, optional', '', ' The number of standard deviations to use as the lower bound for', ' the clipping limit. If `None` then the value of ``sigma`` is', ' used. Defaults to `None`.', '', ' **sigma_upper** : float or `None`, optional', '', ' The number of standard deviations to use as the upper bound for', ' the clipping limit. If `None` then the value of ``sigma`` is', ' used. Defaults to `None`.', '', ' **iters** : int or `None`, optional', '', ' The number of iterations to perform sigma clipping, or `None` to', ' clip until convergence is achieved (i.e., continue until the', ' last iteration clips nothing). Defaults to 5.', '', ' **cenfunc** : callable, optional', '', ' The function used to compute the center for the clipping. Must', ' be a callable that takes in a masked array and outputs the', ' central value. Defaults to the median (`numpy.ma.median`).', '', ' **stdfunc** : callable, optional', '', ' The function used to compute the standard deviation about the', ' center. Must be a callable that takes in a masked array and', ' outputs a width estimator. Masked (rejected) pixels are those', ' where::', ' ', ' deviation < (-sigma_lower * stdfunc(deviation))', ' deviation > (sigma_upper * stdfunc(deviation))', ' ', ' where::', ' ', ' deviation = data - cenfunc(data [,axis=int])', ' ', ' Defaults to the standard deviation (`numpy.std`).', '', ' **axis** : int or `None`, optional', '', ' If not `None`, clip along the given axis. For this case,', ' ``axis`` will be passed on to ``cenfunc`` and ``stdfunc``, which', ' are expected to return an array with the axis dimension removed', ' (like the numpy functions). If `None`, clip over all axes.', ' Defaults to `None`.', '', ' **copy** : bool, optional', '', ' If `True`, the ``data`` array will be copied. If `False`, the', ' returned masked array data will contain the same array as', ' ``data``. Defaults to `True`.', '', ':Returns:', '', ' **filtered_data** : `numpy.ma.MaskedArray`', '', ' A masked array with the same shape as ``data`` input, where the', ' points rejected by the algorithm have been masked.', '', '.. seealso::', '', ' ', ' :obj:`SigmaClip`', ' ', '.. rubric:: Notes', '', '', '1. The routine works by calculating::', '', ' deviation = data - cenfunc(data [,axis=int])', '', ' and then setting a mask for points outside the range::', '', ' deviation < (-sigma_lower * stdfunc(deviation))', ' deviation > (sigma_upper * stdfunc(deviation))', '', ' It will iterate a given number of times, or until no further', ' data are rejected.', '', '2. Most numpy functions deal well with masked arrays, but if one', ' would like to have an array with just the good (or bad) values, one', ' can use::', '', ' good_only = filtered_data.data[~filtered_data.mask]', ' bad_only = filtered_data.data[filtered_data.mask]', '', ' However, for multidimensional data, this flattens the array,', ' which may not be what one wants (especially if filtering was', ' done along an axis).', '', '.. rubric:: Examples', '', '', 'This example generates random variates from a Gaussian distribution', 'and returns a masked array in which all points that are more than 2', 'sample standard deviations from the median are masked::', '', ' >>> from astropy.stats import sigma_clip', ' >>> from numpy.random import randn', ' >>> randvar = randn(10000)', ' >>> filtered_data = sigma_clip(randvar, sigma=2, iters=5)', '', 'This example sigma clips on a similar distribution, but uses 3 sigma', 'relative to the sample *mean*, clips until convergence, and does not', 'copy the data::', '', ' >>> from astropy.stats import sigma_clip', ' >>> from numpy.random import randn', ' >>> from numpy import mean', ' >>> randvar = randn(10000)', ' >>> filtered_data = sigma_clip(randvar, sigma=3, iters=None,', ' ... cenfunc=mean, copy=False)', '', 'This example sigma clips along one axis on a similar distribution', '(with bad points inserted)::', '', ' >>> from astropy.stats import sigma_clip', ' >>> from numpy.random import normal', ' >>> from numpy import arange, diag, ones', ' >>> data = arange(5) + normal(0., 0.05, (5, 5)) + diag(ones(5))', ' >>> filtered_data = sigma_clip(data, sigma=2.3, axis=0)', '', 'Note that along the other axis, no points would be masked, as the', 'variance is higher.']:36: WARNING: py:obj reference target not found: None ['sigma_clip(data, sigma=3, sigma_lower=None, sigma_upper=None, iters=5, cenfunc=, stdfunc=, axis=None, copy=True)', ':module: astropy.stats', '', '', '', 'Perform sigma-clipping on the provided data.', '', 'The data will be iterated over, each time rejecting points that are', 'discrepant by more than a specified number of standard deviations from a', 'center value. If the data contains invalid values (NaNs or infs),', 'they are automatically masked before performing the sigma clipping.', '', 'For an object-oriented interface to sigma clipping, see', ':func:`SigmaClip`.', '', '.. note::', ' `scipy.stats.sigmaclip', ' `_', ' provides a subset of the functionality in this function.', '', ':Parameters:', '', ' **data** : array-like', '', ' The data to be sigma clipped.', '', ' **sigma** : float, optional', '', ' The number of standard deviations to use for both the lower and', ' upper clipping limit. These limits are overridden by', ' ``sigma_lower`` and ``sigma_upper``, if input. Defaults to 3.', '', ' **sigma_lower** : float or `None`, optional', '', ' The number of standard deviations to use as the lower bound for', ' the clipping limit. If `None` then the value of ``sigma`` is', ' used. Defaults to `None`.', '', ' **sigma_upper** : float or `None`, optional', '', ' The number of standard deviations to use as the upper bound for', ' the clipping limit. If `None` then the value of ``sigma`` is', ' used. Defaults to `None`.', '', ' **iters** : int or `None`, optional', '', ' The number of iterations to perform sigma clipping, or `None` to', ' clip until convergence is achieved (i.e., continue until the', ' last iteration clips nothing). Defaults to 5.', '', ' **cenfunc** : callable, optional', '', ' The function used to compute the center for the clipping. Must', ' be a callable that takes in a masked array and outputs the', ' central value. Defaults to the median (`numpy.ma.median`).', '', ' **stdfunc** : callable, optional', '', ' The function used to compute the standard deviation about the', ' center. Must be a callable that takes in a masked array and', ' outputs a width estimator. Masked (rejected) pixels are those', ' where::', ' ', ' deviation < (-sigma_lower * stdfunc(deviation))', ' deviation > (sigma_upper * stdfunc(deviation))', ' ', ' where::', ' ', ' deviation = data - cenfunc(data [,axis=int])', ' ', ' Defaults to the standard deviation (`numpy.std`).', '', ' **axis** : int or `None`, optional', '', ' If not `None`, clip along the given axis. For this case,', ' ``axis`` will be passed on to ``cenfunc`` and ``stdfunc``, which', ' are expected to return an array with the axis dimension removed', ' (like the numpy functions). If `None`, clip over all axes.', ' Defaults to `None`.', '', ' **copy** : bool, optional', '', ' If `True`, the ``data`` array will be copied. If `False`, the', ' returned masked array data will contain the same array as', ' ``data``. Defaults to `True`.', '', ':Returns:', '', ' **filtered_data** : `numpy.ma.MaskedArray`', '', ' A masked array with the same shape as ``data`` input, where the', ' points rejected by the algorithm have been masked.', '', '.. seealso::', '', ' ', ' :obj:`SigmaClip`', ' ', '.. rubric:: Notes', '', '', '1. The routine works by calculating::', '', ' deviation = data - cenfunc(data [,axis=int])', '', ' and then setting a mask for points outside the range::', '', ' deviation < (-sigma_lower * stdfunc(deviation))', ' deviation > (sigma_upper * stdfunc(deviation))', '', ' It will iterate a given number of times, or until no further', ' data are rejected.', '', '2. Most numpy functions deal well with masked arrays, but if one', ' would like to have an array with just the good (or bad) values, one', ' can use::', '', ' good_only = filtered_data.data[~filtered_data.mask]', ' bad_only = filtered_data.data[filtered_data.mask]', '', ' However, for multidimensional data, this flattens the array,', ' which may not be what one wants (especially if filtering was', ' done along an axis).', '', '.. rubric:: Examples', '', '', 'This example generates random variates from a Gaussian distribution', 'and returns a masked array in which all points that are more than 2', 'sample standard deviations from the median are masked::', '', ' >>> from astropy.stats import sigma_clip', ' >>> from numpy.random import randn', ' >>> randvar = randn(10000)', ' >>> filtered_data = sigma_clip(randvar, sigma=2, iters=5)', '', 'This example sigma clips on a similar distribution, but uses 3 sigma', 'relative to the sample *mean*, clips until convergence, and does not', 'copy the data::', '', ' >>> from astropy.stats import sigma_clip', ' >>> from numpy.random import randn', ' >>> from numpy import mean', ' >>> randvar = randn(10000)', ' >>> filtered_data = sigma_clip(randvar, sigma=3, iters=None,', ' ... cenfunc=mean, copy=False)', '', 'This example sigma clips along one axis on a similar distribution', '(with bad points inserted)::', '', ' >>> from astropy.stats import sigma_clip', ' >>> from numpy.random import normal', ' >>> from numpy import arange, diag, ones', ' >>> data = arange(5) + normal(0., 0.05, (5, 5)) + diag(ones(5))', ' >>> filtered_data = sigma_clip(data, sigma=2.3, axis=0)', '', 'Note that along the other axis, no points would be masked, as the', 'variance is higher.']:38: WARNING: py:obj reference target not found: None ['sigma_clip(data, sigma=3, sigma_lower=None, sigma_upper=None, iters=5, cenfunc=, stdfunc=, axis=None, copy=True)', ':module: astropy.stats', '', '', '', 'Perform sigma-clipping on the provided data.', '', 'The data will be iterated over, each time rejecting points that are', 'discrepant by more than a specified number of standard deviations from a', 'center value. If the data contains invalid values (NaNs or infs),', 'they are automatically masked before performing the sigma clipping.', '', 'For an object-oriented interface to sigma clipping, see', ':func:`SigmaClip`.', '', '.. note::', ' `scipy.stats.sigmaclip', ' `_', ' provides a subset of the functionality in this function.', '', ':Parameters:', '', ' **data** : array-like', '', ' The data to be sigma clipped.', '', ' **sigma** : float, optional', '', ' The number of standard deviations to use for both the lower and', ' upper clipping limit. These limits are overridden by', ' ``sigma_lower`` and ``sigma_upper``, if input. Defaults to 3.', '', ' **sigma_lower** : float or `None`, optional', '', ' The number of standard deviations to use as the lower bound for', ' the clipping limit. If `None` then the value of ``sigma`` is', ' used. Defaults to `None`.', '', ' **sigma_upper** : float or `None`, optional', '', ' The number of standard deviations to use as the upper bound for', ' the clipping limit. If `None` then the value of ``sigma`` is', ' used. Defaults to `None`.', '', ' **iters** : int or `None`, optional', '', ' The number of iterations to perform sigma clipping, or `None` to', ' clip until convergence is achieved (i.e., continue until the', ' last iteration clips nothing). Defaults to 5.', '', ' **cenfunc** : callable, optional', '', ' The function used to compute the center for the clipping. Must', ' be a callable that takes in a masked array and outputs the', ' central value. Defaults to the median (`numpy.ma.median`).', '', ' **stdfunc** : callable, optional', '', ' The function used to compute the standard deviation about the', ' center. Must be a callable that takes in a masked array and', ' outputs a width estimator. Masked (rejected) pixels are those', ' where::', ' ', ' deviation < (-sigma_lower * stdfunc(deviation))', ' deviation > (sigma_upper * stdfunc(deviation))', ' ', ' where::', ' ', ' deviation = data - cenfunc(data [,axis=int])', ' ', ' Defaults to the standard deviation (`numpy.std`).', '', ' **axis** : int or `None`, optional', '', ' If not `None`, clip along the given axis. For this case,', ' ``axis`` will be passed on to ``cenfunc`` and ``stdfunc``, which', ' are expected to return an array with the axis dimension removed', ' (like the numpy functions). If `None`, clip over all axes.', ' Defaults to `None`.', '', ' **copy** : bool, optional', '', ' If `True`, the ``data`` array will be copied. If `False`, the', ' returned masked array data will contain the same array as', ' ``data``. Defaults to `True`.', '', ':Returns:', '', ' **filtered_data** : `numpy.ma.MaskedArray`', '', ' A masked array with the same shape as ``data`` input, where the', ' points rejected by the algorithm have been masked.', '', '.. seealso::', '', ' ', ' :obj:`SigmaClip`', ' ', '.. rubric:: Notes', '', '', '1. The routine works by calculating::', '', ' deviation = data - cenfunc(data [,axis=int])', '', ' and then setting a mask for points outside the range::', '', ' deviation < (-sigma_lower * stdfunc(deviation))', ' deviation > (sigma_upper * stdfunc(deviation))', '', ' It will iterate a given number of times, or until no further', ' data are rejected.', '', '2. Most numpy functions deal well with masked arrays, but if one', ' would like to have an array with just the good (or bad) values, one', ' can use::', '', ' good_only = filtered_data.data[~filtered_data.mask]', ' bad_only = filtered_data.data[filtered_data.mask]', '', ' However, for multidimensional data, this flattens the array,', ' which may not be what one wants (especially if filtering was', ' done along an axis).', '', '.. rubric:: Examples', '', '', 'This example generates random variates from a Gaussian distribution', 'and returns a masked array in which all points that are more than 2', 'sample standard deviations from the median are masked::', '', ' >>> from astropy.stats import sigma_clip', ' >>> from numpy.random import randn', ' >>> randvar = randn(10000)', ' >>> filtered_data = sigma_clip(randvar, sigma=2, iters=5)', '', 'This example sigma clips on a similar distribution, but uses 3 sigma', 'relative to the sample *mean*, clips until convergence, and does not', 'copy the data::', '', ' >>> from astropy.stats import sigma_clip', ' >>> from numpy.random import randn', ' >>> from numpy import mean', ' >>> randvar = randn(10000)', ' >>> filtered_data = sigma_clip(randvar, sigma=3, iters=None,', ' ... cenfunc=mean, copy=False)', '', 'This example sigma clips along one axis on a similar distribution', '(with bad points inserted)::', '', ' >>> from astropy.stats import sigma_clip', ' >>> from numpy.random import normal', ' >>> from numpy import arange, diag, ones', ' >>> data = arange(5) + normal(0., 0.05, (5, 5)) + diag(ones(5))', ' >>> filtered_data = sigma_clip(data, sigma=2.3, axis=0)', '', 'Note that along the other axis, no points would be masked, as the', 'variance is higher.']:38: WARNING: py:obj reference target not found: None ['sigma_clip(data, sigma=3, sigma_lower=None, sigma_upper=None, iters=5, cenfunc=, stdfunc=, axis=None, copy=True)', ':module: astropy.stats', '', '', '', 'Perform sigma-clipping on the provided data.', '', 'The data will be iterated over, each time rejecting points that are', 'discrepant by more than a specified number of standard deviations from a', 'center value. If the data contains invalid values (NaNs or infs),', 'they are automatically masked before performing the sigma clipping.', '', 'For an object-oriented interface to sigma clipping, see', ':func:`SigmaClip`.', '', '.. note::', ' `scipy.stats.sigmaclip', ' `_', ' provides a subset of the functionality in this function.', '', ':Parameters:', '', ' **data** : array-like', '', ' The data to be sigma clipped.', '', ' **sigma** : float, optional', '', ' The number of standard deviations to use for both the lower and', ' upper clipping limit. These limits are overridden by', ' ``sigma_lower`` and ``sigma_upper``, if input. Defaults to 3.', '', ' **sigma_lower** : float or `None`, optional', '', ' The number of standard deviations to use as the lower bound for', ' the clipping limit. If `None` then the value of ``sigma`` is', ' used. Defaults to `None`.', '', ' **sigma_upper** : float or `None`, optional', '', ' The number of standard deviations to use as the upper bound for', ' the clipping limit. If `None` then the value of ``sigma`` is', ' used. Defaults to `None`.', '', ' **iters** : int or `None`, optional', '', ' The number of iterations to perform sigma clipping, or `None` to', ' clip until convergence is achieved (i.e., continue until the', ' last iteration clips nothing). Defaults to 5.', '', ' **cenfunc** : callable, optional', '', ' The function used to compute the center for the clipping. Must', ' be a callable that takes in a masked array and outputs the', ' central value. Defaults to the median (`numpy.ma.median`).', '', ' **stdfunc** : callable, optional', '', ' The function used to compute the standard deviation about the', ' center. Must be a callable that takes in a masked array and', ' outputs a width estimator. Masked (rejected) pixels are those', ' where::', ' ', ' deviation < (-sigma_lower * stdfunc(deviation))', ' deviation > (sigma_upper * stdfunc(deviation))', ' ', ' where::', ' ', ' deviation = data - cenfunc(data [,axis=int])', ' ', ' Defaults to the standard deviation (`numpy.std`).', '', ' **axis** : int or `None`, optional', '', ' If not `None`, clip along the given axis. For this case,', ' ``axis`` will be passed on to ``cenfunc`` and ``stdfunc``, which', ' are expected to return an array with the axis dimension removed', ' (like the numpy functions). If `None`, clip over all axes.', ' Defaults to `None`.', '', ' **copy** : bool, optional', '', ' If `True`, the ``data`` array will be copied. If `False`, the', ' returned masked array data will contain the same array as', ' ``data``. Defaults to `True`.', '', ':Returns:', '', ' **filtered_data** : `numpy.ma.MaskedArray`', '', ' A masked array with the same shape as ``data`` input, where the', ' points rejected by the algorithm have been masked.', '', '.. seealso::', '', ' ', ' :obj:`SigmaClip`', ' ', '.. rubric:: Notes', '', '', '1. The routine works by calculating::', '', ' deviation = data - cenfunc(data [,axis=int])', '', ' and then setting a mask for points outside the range::', '', ' deviation < (-sigma_lower * stdfunc(deviation))', ' deviation > (sigma_upper * stdfunc(deviation))', '', ' It will iterate a given number of times, or until no further', ' data are rejected.', '', '2. Most numpy functions deal well with masked arrays, but if one', ' would like to have an array with just the good (or bad) values, one', ' can use::', '', ' good_only = filtered_data.data[~filtered_data.mask]', ' bad_only = filtered_data.data[filtered_data.mask]', '', ' However, for multidimensional data, this flattens the array,', ' which may not be what one wants (especially if filtering was', ' done along an axis).', '', '.. rubric:: Examples', '', '', 'This example generates random variates from a Gaussian distribution', 'and returns a masked array in which all points that are more than 2', 'sample standard deviations from the median are masked::', '', ' >>> from astropy.stats import sigma_clip', ' >>> from numpy.random import randn', ' >>> randvar = randn(10000)', ' >>> filtered_data = sigma_clip(randvar, sigma=2, iters=5)', '', 'This example sigma clips on a similar distribution, but uses 3 sigma', 'relative to the sample *mean*, clips until convergence, and does not', 'copy the data::', '', ' >>> from astropy.stats import sigma_clip', ' >>> from numpy.random import randn', ' >>> from numpy import mean', ' >>> randvar = randn(10000)', ' >>> filtered_data = sigma_clip(randvar, sigma=3, iters=None,', ' ... cenfunc=mean, copy=False)', '', 'This example sigma clips along one axis on a similar distribution', '(with bad points inserted)::', '', ' >>> from astropy.stats import sigma_clip', ' >>> from numpy.random import normal', ' >>> from numpy import arange, diag, ones', ' >>> data = arange(5) + normal(0., 0.05, (5, 5)) + diag(ones(5))', ' >>> filtered_data = sigma_clip(data, sigma=2.3, axis=0)', '', 'Note that along the other axis, no points would be masked, as the', 'variance is higher.']:42: WARNING: py:obj reference target not found: None ['sigma_clip(data, sigma=3, sigma_lower=None, sigma_upper=None, iters=5, cenfunc=, stdfunc=, axis=None, copy=True)', ':module: astropy.stats', '', '', '', 'Perform sigma-clipping on the provided data.', '', 'The data will be iterated over, each time rejecting points that are', 'discrepant by more than a specified number of standard deviations from a', 'center value. If the data contains invalid values (NaNs or infs),', 'they are automatically masked before performing the sigma clipping.', '', 'For an object-oriented interface to sigma clipping, see', ':func:`SigmaClip`.', '', '.. note::', ' `scipy.stats.sigmaclip', ' `_', ' provides a subset of the functionality in this function.', '', ':Parameters:', '', ' **data** : array-like', '', ' The data to be sigma clipped.', '', ' **sigma** : float, optional', '', ' The number of standard deviations to use for both the lower and', ' upper clipping limit. These limits are overridden by', ' ``sigma_lower`` and ``sigma_upper``, if input. Defaults to 3.', '', ' **sigma_lower** : float or `None`, optional', '', ' The number of standard deviations to use as the lower bound for', ' the clipping limit. If `None` then the value of ``sigma`` is', ' used. Defaults to `None`.', '', ' **sigma_upper** : float or `None`, optional', '', ' The number of standard deviations to use as the upper bound for', ' the clipping limit. If `None` then the value of ``sigma`` is', ' used. Defaults to `None`.', '', ' **iters** : int or `None`, optional', '', ' The number of iterations to perform sigma clipping, or `None` to', ' clip until convergence is achieved (i.e., continue until the', ' last iteration clips nothing). Defaults to 5.', '', ' **cenfunc** : callable, optional', '', ' The function used to compute the center for the clipping. Must', ' be a callable that takes in a masked array and outputs the', ' central value. Defaults to the median (`numpy.ma.median`).', '', ' **stdfunc** : callable, optional', '', ' The function used to compute the standard deviation about the', ' center. Must be a callable that takes in a masked array and', ' outputs a width estimator. Masked (rejected) pixels are those', ' where::', ' ', ' deviation < (-sigma_lower * stdfunc(deviation))', ' deviation > (sigma_upper * stdfunc(deviation))', ' ', ' where::', ' ', ' deviation = data - cenfunc(data [,axis=int])', ' ', ' Defaults to the standard deviation (`numpy.std`).', '', ' **axis** : int or `None`, optional', '', ' If not `None`, clip along the given axis. For this case,', ' ``axis`` will be passed on to ``cenfunc`` and ``stdfunc``, which', ' are expected to return an array with the axis dimension removed', ' (like the numpy functions). If `None`, clip over all axes.', ' Defaults to `None`.', '', ' **copy** : bool, optional', '', ' If `True`, the ``data`` array will be copied. If `False`, the', ' returned masked array data will contain the same array as', ' ``data``. Defaults to `True`.', '', ':Returns:', '', ' **filtered_data** : `numpy.ma.MaskedArray`', '', ' A masked array with the same shape as ``data`` input, where the', ' points rejected by the algorithm have been masked.', '', '.. seealso::', '', ' ', ' :obj:`SigmaClip`', ' ', '.. rubric:: Notes', '', '', '1. The routine works by calculating::', '', ' deviation = data - cenfunc(data [,axis=int])', '', ' and then setting a mask for points outside the range::', '', ' deviation < (-sigma_lower * stdfunc(deviation))', ' deviation > (sigma_upper * stdfunc(deviation))', '', ' It will iterate a given number of times, or until no further', ' data are rejected.', '', '2. Most numpy functions deal well with masked arrays, but if one', ' would like to have an array with just the good (or bad) values, one', ' can use::', '', ' good_only = filtered_data.data[~filtered_data.mask]', ' bad_only = filtered_data.data[filtered_data.mask]', '', ' However, for multidimensional data, this flattens the array,', ' which may not be what one wants (especially if filtering was', ' done along an axis).', '', '.. rubric:: Examples', '', '', 'This example generates random variates from a Gaussian distribution', 'and returns a masked array in which all points that are more than 2', 'sample standard deviations from the median are masked::', '', ' >>> from astropy.stats import sigma_clip', ' >>> from numpy.random import randn', ' >>> randvar = randn(10000)', ' >>> filtered_data = sigma_clip(randvar, sigma=2, iters=5)', '', 'This example sigma clips on a similar distribution, but uses 3 sigma', 'relative to the sample *mean*, clips until convergence, and does not', 'copy the data::', '', ' >>> from astropy.stats import sigma_clip', ' >>> from numpy.random import randn', ' >>> from numpy import mean', ' >>> randvar = randn(10000)', ' >>> filtered_data = sigma_clip(randvar, sigma=3, iters=None,', ' ... cenfunc=mean, copy=False)', '', 'This example sigma clips along one axis on a similar distribution', '(with bad points inserted)::', '', ' >>> from astropy.stats import sigma_clip', ' >>> from numpy.random import normal', ' >>> from numpy import arange, diag, ones', ' >>> data = arange(5) + normal(0., 0.05, (5, 5)) + diag(ones(5))', ' >>> filtered_data = sigma_clip(data, sigma=2.3, axis=0)', '', 'Note that along the other axis, no points would be masked, as the', 'variance is higher.']:44: WARNING: py:obj reference target not found: None ['sigma_clip(data, sigma=3, sigma_lower=None, sigma_upper=None, iters=5, cenfunc=, stdfunc=, axis=None, copy=True)', ':module: astropy.stats', '', '', '', 'Perform sigma-clipping on the provided data.', '', 'The data will be iterated over, each time rejecting points that are', 'discrepant by more than a specified number of standard deviations from a', 'center value. If the data contains invalid values (NaNs or infs),', 'they are automatically masked before performing the sigma clipping.', '', 'For an object-oriented interface to sigma clipping, see', ':func:`SigmaClip`.', '', '.. note::', ' `scipy.stats.sigmaclip', ' `_', ' provides a subset of the functionality in this function.', '', ':Parameters:', '', ' **data** : array-like', '', ' The data to be sigma clipped.', '', ' **sigma** : float, optional', '', ' The number of standard deviations to use for both the lower and', ' upper clipping limit. These limits are overridden by', ' ``sigma_lower`` and ``sigma_upper``, if input. Defaults to 3.', '', ' **sigma_lower** : float or `None`, optional', '', ' The number of standard deviations to use as the lower bound for', ' the clipping limit. If `None` then the value of ``sigma`` is', ' used. Defaults to `None`.', '', ' **sigma_upper** : float or `None`, optional', '', ' The number of standard deviations to use as the upper bound for', ' the clipping limit. If `None` then the value of ``sigma`` is', ' used. Defaults to `None`.', '', ' **iters** : int or `None`, optional', '', ' The number of iterations to perform sigma clipping, or `None` to', ' clip until convergence is achieved (i.e., continue until the', ' last iteration clips nothing). Defaults to 5.', '', ' **cenfunc** : callable, optional', '', ' The function used to compute the center for the clipping. Must', ' be a callable that takes in a masked array and outputs the', ' central value. Defaults to the median (`numpy.ma.median`).', '', ' **stdfunc** : callable, optional', '', ' The function used to compute the standard deviation about the', ' center. Must be a callable that takes in a masked array and', ' outputs a width estimator. Masked (rejected) pixels are those', ' where::', ' ', ' deviation < (-sigma_lower * stdfunc(deviation))', ' deviation > (sigma_upper * stdfunc(deviation))', ' ', ' where::', ' ', ' deviation = data - cenfunc(data [,axis=int])', ' ', ' Defaults to the standard deviation (`numpy.std`).', '', ' **axis** : int or `None`, optional', '', ' If not `None`, clip along the given axis. For this case,', ' ``axis`` will be passed on to ``cenfunc`` and ``stdfunc``, which', ' are expected to return an array with the axis dimension removed', ' (like the numpy functions). If `None`, clip over all axes.', ' Defaults to `None`.', '', ' **copy** : bool, optional', '', ' If `True`, the ``data`` array will be copied. If `False`, the', ' returned masked array data will contain the same array as', ' ``data``. Defaults to `True`.', '', ':Returns:', '', ' **filtered_data** : `numpy.ma.MaskedArray`', '', ' A masked array with the same shape as ``data`` input, where the', ' points rejected by the algorithm have been masked.', '', '.. seealso::', '', ' ', ' :obj:`SigmaClip`', ' ', '.. rubric:: Notes', '', '', '1. The routine works by calculating::', '', ' deviation = data - cenfunc(data [,axis=int])', '', ' and then setting a mask for points outside the range::', '', ' deviation < (-sigma_lower * stdfunc(deviation))', ' deviation > (sigma_upper * stdfunc(deviation))', '', ' It will iterate a given number of times, or until no further', ' data are rejected.', '', '2. Most numpy functions deal well with masked arrays, but if one', ' would like to have an array with just the good (or bad) values, one', ' can use::', '', ' good_only = filtered_data.data[~filtered_data.mask]', ' bad_only = filtered_data.data[filtered_data.mask]', '', ' However, for multidimensional data, this flattens the array,', ' which may not be what one wants (especially if filtering was', ' done along an axis).', '', '.. rubric:: Examples', '', '', 'This example generates random variates from a Gaussian distribution', 'and returns a masked array in which all points that are more than 2', 'sample standard deviations from the median are masked::', '', ' >>> from astropy.stats import sigma_clip', ' >>> from numpy.random import randn', ' >>> randvar = randn(10000)', ' >>> filtered_data = sigma_clip(randvar, sigma=2, iters=5)', '', 'This example sigma clips on a similar distribution, but uses 3 sigma', 'relative to the sample *mean*, clips until convergence, and does not', 'copy the data::', '', ' >>> from astropy.stats import sigma_clip', ' >>> from numpy.random import randn', ' >>> from numpy import mean', ' >>> randvar = randn(10000)', ' >>> filtered_data = sigma_clip(randvar, sigma=3, iters=None,', ' ... cenfunc=mean, copy=False)', '', 'This example sigma clips along one axis on a similar distribution', '(with bad points inserted)::', '', ' >>> from astropy.stats import sigma_clip', ' >>> from numpy.random import normal', ' >>> from numpy import arange, diag, ones', ' >>> data = arange(5) + normal(0., 0.05, (5, 5)) + diag(ones(5))', ' >>> filtered_data = sigma_clip(data, sigma=2.3, axis=0)', '', 'Note that along the other axis, no points would be masked, as the', 'variance is higher.']:50: WARNING: py:obj reference target not found: numpy.ma.median ['sigma_clip(data, sigma=3, sigma_lower=None, sigma_upper=None, iters=5, cenfunc=, stdfunc=, axis=None, copy=True)', ':module: astropy.stats', '', '', '', 'Perform sigma-clipping on the provided data.', '', 'The data will be iterated over, each time rejecting points that are', 'discrepant by more than a specified number of standard deviations from a', 'center value. If the data contains invalid values (NaNs or infs),', 'they are automatically masked before performing the sigma clipping.', '', 'For an object-oriented interface to sigma clipping, see', ':func:`SigmaClip`.', '', '.. note::', ' `scipy.stats.sigmaclip', ' `_', ' provides a subset of the functionality in this function.', '', ':Parameters:', '', ' **data** : array-like', '', ' The data to be sigma clipped.', '', ' **sigma** : float, optional', '', ' The number of standard deviations to use for both the lower and', ' upper clipping limit. These limits are overridden by', ' ``sigma_lower`` and ``sigma_upper``, if input. Defaults to 3.', '', ' **sigma_lower** : float or `None`, optional', '', ' The number of standard deviations to use as the lower bound for', ' the clipping limit. If `None` then the value of ``sigma`` is', ' used. Defaults to `None`.', '', ' **sigma_upper** : float or `None`, optional', '', ' The number of standard deviations to use as the upper bound for', ' the clipping limit. If `None` then the value of ``sigma`` is', ' used. Defaults to `None`.', '', ' **iters** : int or `None`, optional', '', ' The number of iterations to perform sigma clipping, or `None` to', ' clip until convergence is achieved (i.e., continue until the', ' last iteration clips nothing). Defaults to 5.', '', ' **cenfunc** : callable, optional', '', ' The function used to compute the center for the clipping. Must', ' be a callable that takes in a masked array and outputs the', ' central value. Defaults to the median (`numpy.ma.median`).', '', ' **stdfunc** : callable, optional', '', ' The function used to compute the standard deviation about the', ' center. Must be a callable that takes in a masked array and', ' outputs a width estimator. Masked (rejected) pixels are those', ' where::', ' ', ' deviation < (-sigma_lower * stdfunc(deviation))', ' deviation > (sigma_upper * stdfunc(deviation))', ' ', ' where::', ' ', ' deviation = data - cenfunc(data [,axis=int])', ' ', ' Defaults to the standard deviation (`numpy.std`).', '', ' **axis** : int or `None`, optional', '', ' If not `None`, clip along the given axis. For this case,', ' ``axis`` will be passed on to ``cenfunc`` and ``stdfunc``, which', ' are expected to return an array with the axis dimension removed', ' (like the numpy functions). If `None`, clip over all axes.', ' Defaults to `None`.', '', ' **copy** : bool, optional', '', ' If `True`, the ``data`` array will be copied. If `False`, the', ' returned masked array data will contain the same array as', ' ``data``. Defaults to `True`.', '', ':Returns:', '', ' **filtered_data** : `numpy.ma.MaskedArray`', '', ' A masked array with the same shape as ``data`` input, where the', ' points rejected by the algorithm have been masked.', '', '.. seealso::', '', ' ', ' :obj:`SigmaClip`', ' ', '.. rubric:: Notes', '', '', '1. The routine works by calculating::', '', ' deviation = data - cenfunc(data [,axis=int])', '', ' and then setting a mask for points outside the range::', '', ' deviation < (-sigma_lower * stdfunc(deviation))', ' deviation > (sigma_upper * stdfunc(deviation))', '', ' It will iterate a given number of times, or until no further', ' data are rejected.', '', '2. Most numpy functions deal well with masked arrays, but if one', ' would like to have an array with just the good (or bad) values, one', ' can use::', '', ' good_only = filtered_data.data[~filtered_data.mask]', ' bad_only = filtered_data.data[filtered_data.mask]', '', ' However, for multidimensional data, this flattens the array,', ' which may not be what one wants (especially if filtering was', ' done along an axis).', '', '.. rubric:: Examples', '', '', 'This example generates random variates from a Gaussian distribution', 'and returns a masked array in which all points that are more than 2', 'sample standard deviations from the median are masked::', '', ' >>> from astropy.stats import sigma_clip', ' >>> from numpy.random import randn', ' >>> randvar = randn(10000)', ' >>> filtered_data = sigma_clip(randvar, sigma=2, iters=5)', '', 'This example sigma clips on a similar distribution, but uses 3 sigma', 'relative to the sample *mean*, clips until convergence, and does not', 'copy the data::', '', ' >>> from astropy.stats import sigma_clip', ' >>> from numpy.random import randn', ' >>> from numpy import mean', ' >>> randvar = randn(10000)', ' >>> filtered_data = sigma_clip(randvar, sigma=3, iters=None,', ' ... cenfunc=mean, copy=False)', '', 'This example sigma clips along one axis on a similar distribution', '(with bad points inserted)::', '', ' >>> from astropy.stats import sigma_clip', ' >>> from numpy.random import normal', ' >>> from numpy import arange, diag, ones', ' >>> data = arange(5) + normal(0., 0.05, (5, 5)) + diag(ones(5))', ' >>> filtered_data = sigma_clip(data, sigma=2.3, axis=0)', '', 'Note that along the other axis, no points would be masked, as the', 'variance is higher.']:68: WARNING: py:obj reference target not found: numpy.std ['sigma_clip(data, sigma=3, sigma_lower=None, sigma_upper=None, iters=5, cenfunc=, stdfunc=, axis=None, copy=True)', ':module: astropy.stats', '', '', '', 'Perform sigma-clipping on the provided data.', '', 'The data will be iterated over, each time rejecting points that are', 'discrepant by more than a specified number of standard deviations from a', 'center value. If the data contains invalid values (NaNs or infs),', 'they are automatically masked before performing the sigma clipping.', '', 'For an object-oriented interface to sigma clipping, see', ':func:`SigmaClip`.', '', '.. note::', ' `scipy.stats.sigmaclip', ' `_', ' provides a subset of the functionality in this function.', '', ':Parameters:', '', ' **data** : array-like', '', ' The data to be sigma clipped.', '', ' **sigma** : float, optional', '', ' The number of standard deviations to use for both the lower and', ' upper clipping limit. These limits are overridden by', ' ``sigma_lower`` and ``sigma_upper``, if input. Defaults to 3.', '', ' **sigma_lower** : float or `None`, optional', '', ' The number of standard deviations to use as the lower bound for', ' the clipping limit. If `None` then the value of ``sigma`` is', ' used. Defaults to `None`.', '', ' **sigma_upper** : float or `None`, optional', '', ' The number of standard deviations to use as the upper bound for', ' the clipping limit. If `None` then the value of ``sigma`` is', ' used. Defaults to `None`.', '', ' **iters** : int or `None`, optional', '', ' The number of iterations to perform sigma clipping, or `None` to', ' clip until convergence is achieved (i.e., continue until the', ' last iteration clips nothing). Defaults to 5.', '', ' **cenfunc** : callable, optional', '', ' The function used to compute the center for the clipping. Must', ' be a callable that takes in a masked array and outputs the', ' central value. Defaults to the median (`numpy.ma.median`).', '', ' **stdfunc** : callable, optional', '', ' The function used to compute the standard deviation about the', ' center. Must be a callable that takes in a masked array and', ' outputs a width estimator. Masked (rejected) pixels are those', ' where::', ' ', ' deviation < (-sigma_lower * stdfunc(deviation))', ' deviation > (sigma_upper * stdfunc(deviation))', ' ', ' where::', ' ', ' deviation = data - cenfunc(data [,axis=int])', ' ', ' Defaults to the standard deviation (`numpy.std`).', '', ' **axis** : int or `None`, optional', '', ' If not `None`, clip along the given axis. For this case,', ' ``axis`` will be passed on to ``cenfunc`` and ``stdfunc``, which', ' are expected to return an array with the axis dimension removed', ' (like the numpy functions). If `None`, clip over all axes.', ' Defaults to `None`.', '', ' **copy** : bool, optional', '', ' If `True`, the ``data`` array will be copied. If `False`, the', ' returned masked array data will contain the same array as', ' ``data``. Defaults to `True`.', '', ':Returns:', '', ' **filtered_data** : `numpy.ma.MaskedArray`', '', ' A masked array with the same shape as ``data`` input, where the', ' points rejected by the algorithm have been masked.', '', '.. seealso::', '', ' ', ' :obj:`SigmaClip`', ' ', '.. rubric:: Notes', '', '', '1. The routine works by calculating::', '', ' deviation = data - cenfunc(data [,axis=int])', '', ' and then setting a mask for points outside the range::', '', ' deviation < (-sigma_lower * stdfunc(deviation))', ' deviation > (sigma_upper * stdfunc(deviation))', '', ' It will iterate a given number of times, or until no further', ' data are rejected.', '', '2. Most numpy functions deal well with masked arrays, but if one', ' would like to have an array with just the good (or bad) values, one', ' can use::', '', ' good_only = filtered_data.data[~filtered_data.mask]', ' bad_only = filtered_data.data[filtered_data.mask]', '', ' However, for multidimensional data, this flattens the array,', ' which may not be what one wants (especially if filtering was', ' done along an axis).', '', '.. rubric:: Examples', '', '', 'This example generates random variates from a Gaussian distribution', 'and returns a masked array in which all points that are more than 2', 'sample standard deviations from the median are masked::', '', ' >>> from astropy.stats import sigma_clip', ' >>> from numpy.random import randn', ' >>> randvar = randn(10000)', ' >>> filtered_data = sigma_clip(randvar, sigma=2, iters=5)', '', 'This example sigma clips on a similar distribution, but uses 3 sigma', 'relative to the sample *mean*, clips until convergence, and does not', 'copy the data::', '', ' >>> from astropy.stats import sigma_clip', ' >>> from numpy.random import randn', ' >>> from numpy import mean', ' >>> randvar = randn(10000)', ' >>> filtered_data = sigma_clip(randvar, sigma=3, iters=None,', ' ... cenfunc=mean, copy=False)', '', 'This example sigma clips along one axis on a similar distribution', '(with bad points inserted)::', '', ' >>> from astropy.stats import sigma_clip', ' >>> from numpy.random import normal', ' >>> from numpy import arange, diag, ones', ' >>> data = arange(5) + normal(0., 0.05, (5, 5)) + diag(ones(5))', ' >>> filtered_data = sigma_clip(data, sigma=2.3, axis=0)', '', 'Note that along the other axis, no points would be masked, as the', 'variance is higher.']:70: WARNING: py:obj reference target not found: None ['sigma_clip(data, sigma=3, sigma_lower=None, sigma_upper=None, iters=5, cenfunc=, stdfunc=, axis=None, copy=True)', ':module: astropy.stats', '', '', '', 'Perform sigma-clipping on the provided data.', '', 'The data will be iterated over, each time rejecting points that are', 'discrepant by more than a specified number of standard deviations from a', 'center value. If the data contains invalid values (NaNs or infs),', 'they are automatically masked before performing the sigma clipping.', '', 'For an object-oriented interface to sigma clipping, see', ':func:`SigmaClip`.', '', '.. note::', ' `scipy.stats.sigmaclip', ' `_', ' provides a subset of the functionality in this function.', '', ':Parameters:', '', ' **data** : array-like', '', ' The data to be sigma clipped.', '', ' **sigma** : float, optional', '', ' The number of standard deviations to use for both the lower and', ' upper clipping limit. These limits are overridden by', ' ``sigma_lower`` and ``sigma_upper``, if input. Defaults to 3.', '', ' **sigma_lower** : float or `None`, optional', '', ' The number of standard deviations to use as the lower bound for', ' the clipping limit. If `None` then the value of ``sigma`` is', ' used. Defaults to `None`.', '', ' **sigma_upper** : float or `None`, optional', '', ' The number of standard deviations to use as the upper bound for', ' the clipping limit. If `None` then the value of ``sigma`` is', ' used. Defaults to `None`.', '', ' **iters** : int or `None`, optional', '', ' The number of iterations to perform sigma clipping, or `None` to', ' clip until convergence is achieved (i.e., continue until the', ' last iteration clips nothing). Defaults to 5.', '', ' **cenfunc** : callable, optional', '', ' The function used to compute the center for the clipping. Must', ' be a callable that takes in a masked array and outputs the', ' central value. Defaults to the median (`numpy.ma.median`).', '', ' **stdfunc** : callable, optional', '', ' The function used to compute the standard deviation about the', ' center. Must be a callable that takes in a masked array and', ' outputs a width estimator. Masked (rejected) pixels are those', ' where::', ' ', ' deviation < (-sigma_lower * stdfunc(deviation))', ' deviation > (sigma_upper * stdfunc(deviation))', ' ', ' where::', ' ', ' deviation = data - cenfunc(data [,axis=int])', ' ', ' Defaults to the standard deviation (`numpy.std`).', '', ' **axis** : int or `None`, optional', '', ' If not `None`, clip along the given axis. For this case,', ' ``axis`` will be passed on to ``cenfunc`` and ``stdfunc``, which', ' are expected to return an array with the axis dimension removed', ' (like the numpy functions). If `None`, clip over all axes.', ' Defaults to `None`.', '', ' **copy** : bool, optional', '', ' If `True`, the ``data`` array will be copied. If `False`, the', ' returned masked array data will contain the same array as', ' ``data``. Defaults to `True`.', '', ':Returns:', '', ' **filtered_data** : `numpy.ma.MaskedArray`', '', ' A masked array with the same shape as ``data`` input, where the', ' points rejected by the algorithm have been masked.', '', '.. seealso::', '', ' ', ' :obj:`SigmaClip`', ' ', '.. rubric:: Notes', '', '', '1. The routine works by calculating::', '', ' deviation = data - cenfunc(data [,axis=int])', '', ' and then setting a mask for points outside the range::', '', ' deviation < (-sigma_lower * stdfunc(deviation))', ' deviation > (sigma_upper * stdfunc(deviation))', '', ' It will iterate a given number of times, or until no further', ' data are rejected.', '', '2. Most numpy functions deal well with masked arrays, but if one', ' would like to have an array with just the good (or bad) values, one', ' can use::', '', ' good_only = filtered_data.data[~filtered_data.mask]', ' bad_only = filtered_data.data[filtered_data.mask]', '', ' However, for multidimensional data, this flattens the array,', ' which may not be what one wants (especially if filtering was', ' done along an axis).', '', '.. rubric:: Examples', '', '', 'This example generates random variates from a Gaussian distribution', 'and returns a masked array in which all points that are more than 2', 'sample standard deviations from the median are masked::', '', ' >>> from astropy.stats import sigma_clip', ' >>> from numpy.random import randn', ' >>> randvar = randn(10000)', ' >>> filtered_data = sigma_clip(randvar, sigma=2, iters=5)', '', 'This example sigma clips on a similar distribution, but uses 3 sigma', 'relative to the sample *mean*, clips until convergence, and does not', 'copy the data::', '', ' >>> from astropy.stats import sigma_clip', ' >>> from numpy.random import randn', ' >>> from numpy import mean', ' >>> randvar = randn(10000)', ' >>> filtered_data = sigma_clip(randvar, sigma=3, iters=None,', ' ... cenfunc=mean, copy=False)', '', 'This example sigma clips along one axis on a similar distribution', '(with bad points inserted)::', '', ' >>> from astropy.stats import sigma_clip', ' >>> from numpy.random import normal', ' >>> from numpy import arange, diag, ones', ' >>> data = arange(5) + normal(0., 0.05, (5, 5)) + diag(ones(5))', ' >>> filtered_data = sigma_clip(data, sigma=2.3, axis=0)', '', 'Note that along the other axis, no points would be masked, as the', 'variance is higher.']:72: WARNING: py:obj reference target not found: None ['sigma_clip(data, sigma=3, sigma_lower=None, sigma_upper=None, iters=5, cenfunc=, stdfunc=, axis=None, copy=True)', ':module: astropy.stats', '', '', '', 'Perform sigma-clipping on the provided data.', '', 'The data will be iterated over, each time rejecting points that are', 'discrepant by more than a specified number of standard deviations from a', 'center value. If the data contains invalid values (NaNs or infs),', 'they are automatically masked before performing the sigma clipping.', '', 'For an object-oriented interface to sigma clipping, see', ':func:`SigmaClip`.', '', '.. note::', ' `scipy.stats.sigmaclip', ' `_', ' provides a subset of the functionality in this function.', '', ':Parameters:', '', ' **data** : array-like', '', ' The data to be sigma clipped.', '', ' **sigma** : float, optional', '', ' The number of standard deviations to use for both the lower and', ' upper clipping limit. These limits are overridden by', ' ``sigma_lower`` and ``sigma_upper``, if input. Defaults to 3.', '', ' **sigma_lower** : float or `None`, optional', '', ' The number of standard deviations to use as the lower bound for', ' the clipping limit. If `None` then the value of ``sigma`` is', ' used. Defaults to `None`.', '', ' **sigma_upper** : float or `None`, optional', '', ' The number of standard deviations to use as the upper bound for', ' the clipping limit. If `None` then the value of ``sigma`` is', ' used. Defaults to `None`.', '', ' **iters** : int or `None`, optional', '', ' The number of iterations to perform sigma clipping, or `None` to', ' clip until convergence is achieved (i.e., continue until the', ' last iteration clips nothing). Defaults to 5.', '', ' **cenfunc** : callable, optional', '', ' The function used to compute the center for the clipping. Must', ' be a callable that takes in a masked array and outputs the', ' central value. Defaults to the median (`numpy.ma.median`).', '', ' **stdfunc** : callable, optional', '', ' The function used to compute the standard deviation about the', ' center. Must be a callable that takes in a masked array and', ' outputs a width estimator. Masked (rejected) pixels are those', ' where::', ' ', ' deviation < (-sigma_lower * stdfunc(deviation))', ' deviation > (sigma_upper * stdfunc(deviation))', ' ', ' where::', ' ', ' deviation = data - cenfunc(data [,axis=int])', ' ', ' Defaults to the standard deviation (`numpy.std`).', '', ' **axis** : int or `None`, optional', '', ' If not `None`, clip along the given axis. For this case,', ' ``axis`` will be passed on to ``cenfunc`` and ``stdfunc``, which', ' are expected to return an array with the axis dimension removed', ' (like the numpy functions). If `None`, clip over all axes.', ' Defaults to `None`.', '', ' **copy** : bool, optional', '', ' If `True`, the ``data`` array will be copied. If `False`, the', ' returned masked array data will contain the same array as', ' ``data``. Defaults to `True`.', '', ':Returns:', '', ' **filtered_data** : `numpy.ma.MaskedArray`', '', ' A masked array with the same shape as ``data`` input, where the', ' points rejected by the algorithm have been masked.', '', '.. seealso::', '', ' ', ' :obj:`SigmaClip`', ' ', '.. rubric:: Notes', '', '', '1. The routine works by calculating::', '', ' deviation = data - cenfunc(data [,axis=int])', '', ' and then setting a mask for points outside the range::', '', ' deviation < (-sigma_lower * stdfunc(deviation))', ' deviation > (sigma_upper * stdfunc(deviation))', '', ' It will iterate a given number of times, or until no further', ' data are rejected.', '', '2. Most numpy functions deal well with masked arrays, but if one', ' would like to have an array with just the good (or bad) values, one', ' can use::', '', ' good_only = filtered_data.data[~filtered_data.mask]', ' bad_only = filtered_data.data[filtered_data.mask]', '', ' However, for multidimensional data, this flattens the array,', ' which may not be what one wants (especially if filtering was', ' done along an axis).', '', '.. rubric:: Examples', '', '', 'This example generates random variates from a Gaussian distribution', 'and returns a masked array in which all points that are more than 2', 'sample standard deviations from the median are masked::', '', ' >>> from astropy.stats import sigma_clip', ' >>> from numpy.random import randn', ' >>> randvar = randn(10000)', ' >>> filtered_data = sigma_clip(randvar, sigma=2, iters=5)', '', 'This example sigma clips on a similar distribution, but uses 3 sigma', 'relative to the sample *mean*, clips until convergence, and does not', 'copy the data::', '', ' >>> from astropy.stats import sigma_clip', ' >>> from numpy.random import randn', ' >>> from numpy import mean', ' >>> randvar = randn(10000)', ' >>> filtered_data = sigma_clip(randvar, sigma=3, iters=None,', ' ... cenfunc=mean, copy=False)', '', 'This example sigma clips along one axis on a similar distribution', '(with bad points inserted)::', '', ' >>> from astropy.stats import sigma_clip', ' >>> from numpy.random import normal', ' >>> from numpy import arange, diag, ones', ' >>> data = arange(5) + normal(0., 0.05, (5, 5)) + diag(ones(5))', ' >>> filtered_data = sigma_clip(data, sigma=2.3, axis=0)', '', 'Note that along the other axis, no points would be masked, as the', 'variance is higher.']:72: WARNING: py:obj reference target not found: None ['sigma_clip(data, sigma=3, sigma_lower=None, sigma_upper=None, iters=5, cenfunc=, stdfunc=, axis=None, copy=True)', ':module: astropy.stats', '', '', '', 'Perform sigma-clipping on the provided data.', '', 'The data will be iterated over, each time rejecting points that are', 'discrepant by more than a specified number of standard deviations from a', 'center value. If the data contains invalid values (NaNs or infs),', 'they are automatically masked before performing the sigma clipping.', '', 'For an object-oriented interface to sigma clipping, see', ':func:`SigmaClip`.', '', '.. note::', ' `scipy.stats.sigmaclip', ' `_', ' provides a subset of the functionality in this function.', '', ':Parameters:', '', ' **data** : array-like', '', ' The data to be sigma clipped.', '', ' **sigma** : float, optional', '', ' The number of standard deviations to use for both the lower and', ' upper clipping limit. These limits are overridden by', ' ``sigma_lower`` and ``sigma_upper``, if input. Defaults to 3.', '', ' **sigma_lower** : float or `None`, optional', '', ' The number of standard deviations to use as the lower bound for', ' the clipping limit. If `None` then the value of ``sigma`` is', ' used. Defaults to `None`.', '', ' **sigma_upper** : float or `None`, optional', '', ' The number of standard deviations to use as the upper bound for', ' the clipping limit. If `None` then the value of ``sigma`` is', ' used. Defaults to `None`.', '', ' **iters** : int or `None`, optional', '', ' The number of iterations to perform sigma clipping, or `None` to', ' clip until convergence is achieved (i.e., continue until the', ' last iteration clips nothing). Defaults to 5.', '', ' **cenfunc** : callable, optional', '', ' The function used to compute the center for the clipping. Must', ' be a callable that takes in a masked array and outputs the', ' central value. Defaults to the median (`numpy.ma.median`).', '', ' **stdfunc** : callable, optional', '', ' The function used to compute the standard deviation about the', ' center. Must be a callable that takes in a masked array and', ' outputs a width estimator. Masked (rejected) pixels are those', ' where::', ' ', ' deviation < (-sigma_lower * stdfunc(deviation))', ' deviation > (sigma_upper * stdfunc(deviation))', ' ', ' where::', ' ', ' deviation = data - cenfunc(data [,axis=int])', ' ', ' Defaults to the standard deviation (`numpy.std`).', '', ' **axis** : int or `None`, optional', '', ' If not `None`, clip along the given axis. For this case,', ' ``axis`` will be passed on to ``cenfunc`` and ``stdfunc``, which', ' are expected to return an array with the axis dimension removed', ' (like the numpy functions). If `None`, clip over all axes.', ' Defaults to `None`.', '', ' **copy** : bool, optional', '', ' If `True`, the ``data`` array will be copied. If `False`, the', ' returned masked array data will contain the same array as', ' ``data``. Defaults to `True`.', '', ':Returns:', '', ' **filtered_data** : `numpy.ma.MaskedArray`', '', ' A masked array with the same shape as ``data`` input, where the', ' points rejected by the algorithm have been masked.', '', '.. seealso::', '', ' ', ' :obj:`SigmaClip`', ' ', '.. rubric:: Notes', '', '', '1. The routine works by calculating::', '', ' deviation = data - cenfunc(data [,axis=int])', '', ' and then setting a mask for points outside the range::', '', ' deviation < (-sigma_lower * stdfunc(deviation))', ' deviation > (sigma_upper * stdfunc(deviation))', '', ' It will iterate a given number of times, or until no further', ' data are rejected.', '', '2. Most numpy functions deal well with masked arrays, but if one', ' would like to have an array with just the good (or bad) values, one', ' can use::', '', ' good_only = filtered_data.data[~filtered_data.mask]', ' bad_only = filtered_data.data[filtered_data.mask]', '', ' However, for multidimensional data, this flattens the array,', ' which may not be what one wants (especially if filtering was', ' done along an axis).', '', '.. rubric:: Examples', '', '', 'This example generates random variates from a Gaussian distribution', 'and returns a masked array in which all points that are more than 2', 'sample standard deviations from the median are masked::', '', ' >>> from astropy.stats import sigma_clip', ' >>> from numpy.random import randn', ' >>> randvar = randn(10000)', ' >>> filtered_data = sigma_clip(randvar, sigma=2, iters=5)', '', 'This example sigma clips on a similar distribution, but uses 3 sigma', 'relative to the sample *mean*, clips until convergence, and does not', 'copy the data::', '', ' >>> from astropy.stats import sigma_clip', ' >>> from numpy.random import randn', ' >>> from numpy import mean', ' >>> randvar = randn(10000)', ' >>> filtered_data = sigma_clip(randvar, sigma=3, iters=None,', ' ... cenfunc=mean, copy=False)', '', 'This example sigma clips along one axis on a similar distribution', '(with bad points inserted)::', '', ' >>> from astropy.stats import sigma_clip', ' >>> from numpy.random import normal', ' >>> from numpy import arange, diag, ones', ' >>> data = arange(5) + normal(0., 0.05, (5, 5)) + diag(ones(5))', ' >>> filtered_data = sigma_clip(data, sigma=2.3, axis=0)', '', 'Note that along the other axis, no points would be masked, as the', 'variance is higher.']:72: WARNING: py:obj reference target not found: None ['sigma_clip(data, sigma=3, sigma_lower=None, sigma_upper=None, iters=5, cenfunc=, stdfunc=, axis=None, copy=True)', ':module: astropy.stats', '', '', '', 'Perform sigma-clipping on the provided data.', '', 'The data will be iterated over, each time rejecting points that are', 'discrepant by more than a specified number of standard deviations from a', 'center value. If the data contains invalid values (NaNs or infs),', 'they are automatically masked before performing the sigma clipping.', '', 'For an object-oriented interface to sigma clipping, see', ':func:`SigmaClip`.', '', '.. note::', ' `scipy.stats.sigmaclip', ' `_', ' provides a subset of the functionality in this function.', '', ':Parameters:', '', ' **data** : array-like', '', ' The data to be sigma clipped.', '', ' **sigma** : float, optional', '', ' The number of standard deviations to use for both the lower and', ' upper clipping limit. These limits are overridden by', ' ``sigma_lower`` and ``sigma_upper``, if input. Defaults to 3.', '', ' **sigma_lower** : float or `None`, optional', '', ' The number of standard deviations to use as the lower bound for', ' the clipping limit. If `None` then the value of ``sigma`` is', ' used. Defaults to `None`.', '', ' **sigma_upper** : float or `None`, optional', '', ' The number of standard deviations to use as the upper bound for', ' the clipping limit. If `None` then the value of ``sigma`` is', ' used. Defaults to `None`.', '', ' **iters** : int or `None`, optional', '', ' The number of iterations to perform sigma clipping, or `None` to', ' clip until convergence is achieved (i.e., continue until the', ' last iteration clips nothing). Defaults to 5.', '', ' **cenfunc** : callable, optional', '', ' The function used to compute the center for the clipping. Must', ' be a callable that takes in a masked array and outputs the', ' central value. Defaults to the median (`numpy.ma.median`).', '', ' **stdfunc** : callable, optional', '', ' The function used to compute the standard deviation about the', ' center. Must be a callable that takes in a masked array and', ' outputs a width estimator. Masked (rejected) pixels are those', ' where::', ' ', ' deviation < (-sigma_lower * stdfunc(deviation))', ' deviation > (sigma_upper * stdfunc(deviation))', ' ', ' where::', ' ', ' deviation = data - cenfunc(data [,axis=int])', ' ', ' Defaults to the standard deviation (`numpy.std`).', '', ' **axis** : int or `None`, optional', '', ' If not `None`, clip along the given axis. For this case,', ' ``axis`` will be passed on to ``cenfunc`` and ``stdfunc``, which', ' are expected to return an array with the axis dimension removed', ' (like the numpy functions). If `None`, clip over all axes.', ' Defaults to `None`.', '', ' **copy** : bool, optional', '', ' If `True`, the ``data`` array will be copied. If `False`, the', ' returned masked array data will contain the same array as', ' ``data``. Defaults to `True`.', '', ':Returns:', '', ' **filtered_data** : `numpy.ma.MaskedArray`', '', ' A masked array with the same shape as ``data`` input, where the', ' points rejected by the algorithm have been masked.', '', '.. seealso::', '', ' ', ' :obj:`SigmaClip`', ' ', '.. rubric:: Notes', '', '', '1. The routine works by calculating::', '', ' deviation = data - cenfunc(data [,axis=int])', '', ' and then setting a mask for points outside the range::', '', ' deviation < (-sigma_lower * stdfunc(deviation))', ' deviation > (sigma_upper * stdfunc(deviation))', '', ' It will iterate a given number of times, or until no further', ' data are rejected.', '', '2. Most numpy functions deal well with masked arrays, but if one', ' would like to have an array with just the good (or bad) values, one', ' can use::', '', ' good_only = filtered_data.data[~filtered_data.mask]', ' bad_only = filtered_data.data[filtered_data.mask]', '', ' However, for multidimensional data, this flattens the array,', ' which may not be what one wants (especially if filtering was', ' done along an axis).', '', '.. rubric:: Examples', '', '', 'This example generates random variates from a Gaussian distribution', 'and returns a masked array in which all points that are more than 2', 'sample standard deviations from the median are masked::', '', ' >>> from astropy.stats import sigma_clip', ' >>> from numpy.random import randn', ' >>> randvar = randn(10000)', ' >>> filtered_data = sigma_clip(randvar, sigma=2, iters=5)', '', 'This example sigma clips on a similar distribution, but uses 3 sigma', 'relative to the sample *mean*, clips until convergence, and does not', 'copy the data::', '', ' >>> from astropy.stats import sigma_clip', ' >>> from numpy.random import randn', ' >>> from numpy import mean', ' >>> randvar = randn(10000)', ' >>> filtered_data = sigma_clip(randvar, sigma=3, iters=None,', ' ... cenfunc=mean, copy=False)', '', 'This example sigma clips along one axis on a similar distribution', '(with bad points inserted)::', '', ' >>> from astropy.stats import sigma_clip', ' >>> from numpy.random import normal', ' >>> from numpy import arange, diag, ones', ' >>> data = arange(5) + normal(0., 0.05, (5, 5)) + diag(ones(5))', ' >>> filtered_data = sigma_clip(data, sigma=2.3, axis=0)', '', 'Note that along the other axis, no points would be masked, as the', 'variance is higher.']:80: WARNING: py:obj reference target not found: True ['sigma_clip(data, sigma=3, sigma_lower=None, sigma_upper=None, iters=5, cenfunc=, stdfunc=, axis=None, copy=True)', ':module: astropy.stats', '', '', '', 'Perform sigma-clipping on the provided data.', '', 'The data will be iterated over, each time rejecting points that are', 'discrepant by more than a specified number of standard deviations from a', 'center value. If the data contains invalid values (NaNs or infs),', 'they are automatically masked before performing the sigma clipping.', '', 'For an object-oriented interface to sigma clipping, see', ':func:`SigmaClip`.', '', '.. note::', ' `scipy.stats.sigmaclip', ' `_', ' provides a subset of the functionality in this function.', '', ':Parameters:', '', ' **data** : array-like', '', ' The data to be sigma clipped.', '', ' **sigma** : float, optional', '', ' The number of standard deviations to use for both the lower and', ' upper clipping limit. These limits are overridden by', ' ``sigma_lower`` and ``sigma_upper``, if input. Defaults to 3.', '', ' **sigma_lower** : float or `None`, optional', '', ' The number of standard deviations to use as the lower bound for', ' the clipping limit. If `None` then the value of ``sigma`` is', ' used. Defaults to `None`.', '', ' **sigma_upper** : float or `None`, optional', '', ' The number of standard deviations to use as the upper bound for', ' the clipping limit. If `None` then the value of ``sigma`` is', ' used. Defaults to `None`.', '', ' **iters** : int or `None`, optional', '', ' The number of iterations to perform sigma clipping, or `None` to', ' clip until convergence is achieved (i.e., continue until the', ' last iteration clips nothing). Defaults to 5.', '', ' **cenfunc** : callable, optional', '', ' The function used to compute the center for the clipping. Must', ' be a callable that takes in a masked array and outputs the', ' central value. Defaults to the median (`numpy.ma.median`).', '', ' **stdfunc** : callable, optional', '', ' The function used to compute the standard deviation about the', ' center. Must be a callable that takes in a masked array and', ' outputs a width estimator. Masked (rejected) pixels are those', ' where::', ' ', ' deviation < (-sigma_lower * stdfunc(deviation))', ' deviation > (sigma_upper * stdfunc(deviation))', ' ', ' where::', ' ', ' deviation = data - cenfunc(data [,axis=int])', ' ', ' Defaults to the standard deviation (`numpy.std`).', '', ' **axis** : int or `None`, optional', '', ' If not `None`, clip along the given axis. For this case,', ' ``axis`` will be passed on to ``cenfunc`` and ``stdfunc``, which', ' are expected to return an array with the axis dimension removed', ' (like the numpy functions). If `None`, clip over all axes.', ' Defaults to `None`.', '', ' **copy** : bool, optional', '', ' If `True`, the ``data`` array will be copied. If `False`, the', ' returned masked array data will contain the same array as', ' ``data``. Defaults to `True`.', '', ':Returns:', '', ' **filtered_data** : `numpy.ma.MaskedArray`', '', ' A masked array with the same shape as ``data`` input, where the', ' points rejected by the algorithm have been masked.', '', '.. seealso::', '', ' ', ' :obj:`SigmaClip`', ' ', '.. rubric:: Notes', '', '', '1. The routine works by calculating::', '', ' deviation = data - cenfunc(data [,axis=int])', '', ' and then setting a mask for points outside the range::', '', ' deviation < (-sigma_lower * stdfunc(deviation))', ' deviation > (sigma_upper * stdfunc(deviation))', '', ' It will iterate a given number of times, or until no further', ' data are rejected.', '', '2. Most numpy functions deal well with masked arrays, but if one', ' would like to have an array with just the good (or bad) values, one', ' can use::', '', ' good_only = filtered_data.data[~filtered_data.mask]', ' bad_only = filtered_data.data[filtered_data.mask]', '', ' However, for multidimensional data, this flattens the array,', ' which may not be what one wants (especially if filtering was', ' done along an axis).', '', '.. rubric:: Examples', '', '', 'This example generates random variates from a Gaussian distribution', 'and returns a masked array in which all points that are more than 2', 'sample standard deviations from the median are masked::', '', ' >>> from astropy.stats import sigma_clip', ' >>> from numpy.random import randn', ' >>> randvar = randn(10000)', ' >>> filtered_data = sigma_clip(randvar, sigma=2, iters=5)', '', 'This example sigma clips on a similar distribution, but uses 3 sigma', 'relative to the sample *mean*, clips until convergence, and does not', 'copy the data::', '', ' >>> from astropy.stats import sigma_clip', ' >>> from numpy.random import randn', ' >>> from numpy import mean', ' >>> randvar = randn(10000)', ' >>> filtered_data = sigma_clip(randvar, sigma=3, iters=None,', ' ... cenfunc=mean, copy=False)', '', 'This example sigma clips along one axis on a similar distribution', '(with bad points inserted)::', '', ' >>> from astropy.stats import sigma_clip', ' >>> from numpy.random import normal', ' >>> from numpy import arange, diag, ones', ' >>> data = arange(5) + normal(0., 0.05, (5, 5)) + diag(ones(5))', ' >>> filtered_data = sigma_clip(data, sigma=2.3, axis=0)', '', 'Note that along the other axis, no points would be masked, as the', 'variance is higher.']:80: WARNING: py:obj reference target not found: False ['sigma_clip(data, sigma=3, sigma_lower=None, sigma_upper=None, iters=5, cenfunc=, stdfunc=, axis=None, copy=True)', ':module: astropy.stats', '', '', '', 'Perform sigma-clipping on the provided data.', '', 'The data will be iterated over, each time rejecting points that are', 'discrepant by more than a specified number of standard deviations from a', 'center value. If the data contains invalid values (NaNs or infs),', 'they are automatically masked before performing the sigma clipping.', '', 'For an object-oriented interface to sigma clipping, see', ':func:`SigmaClip`.', '', '.. note::', ' `scipy.stats.sigmaclip', ' `_', ' provides a subset of the functionality in this function.', '', ':Parameters:', '', ' **data** : array-like', '', ' The data to be sigma clipped.', '', ' **sigma** : float, optional', '', ' The number of standard deviations to use for both the lower and', ' upper clipping limit. These limits are overridden by', ' ``sigma_lower`` and ``sigma_upper``, if input. Defaults to 3.', '', ' **sigma_lower** : float or `None`, optional', '', ' The number of standard deviations to use as the lower bound for', ' the clipping limit. If `None` then the value of ``sigma`` is', ' used. Defaults to `None`.', '', ' **sigma_upper** : float or `None`, optional', '', ' The number of standard deviations to use as the upper bound for', ' the clipping limit. If `None` then the value of ``sigma`` is', ' used. Defaults to `None`.', '', ' **iters** : int or `None`, optional', '', ' The number of iterations to perform sigma clipping, or `None` to', ' clip until convergence is achieved (i.e., continue until the', ' last iteration clips nothing). Defaults to 5.', '', ' **cenfunc** : callable, optional', '', ' The function used to compute the center for the clipping. Must', ' be a callable that takes in a masked array and outputs the', ' central value. Defaults to the median (`numpy.ma.median`).', '', ' **stdfunc** : callable, optional', '', ' The function used to compute the standard deviation about the', ' center. Must be a callable that takes in a masked array and', ' outputs a width estimator. Masked (rejected) pixels are those', ' where::', ' ', ' deviation < (-sigma_lower * stdfunc(deviation))', ' deviation > (sigma_upper * stdfunc(deviation))', ' ', ' where::', ' ', ' deviation = data - cenfunc(data [,axis=int])', ' ', ' Defaults to the standard deviation (`numpy.std`).', '', ' **axis** : int or `None`, optional', '', ' If not `None`, clip along the given axis. For this case,', ' ``axis`` will be passed on to ``cenfunc`` and ``stdfunc``, which', ' are expected to return an array with the axis dimension removed', ' (like the numpy functions). If `None`, clip over all axes.', ' Defaults to `None`.', '', ' **copy** : bool, optional', '', ' If `True`, the ``data`` array will be copied. If `False`, the', ' returned masked array data will contain the same array as', ' ``data``. Defaults to `True`.', '', ':Returns:', '', ' **filtered_data** : `numpy.ma.MaskedArray`', '', ' A masked array with the same shape as ``data`` input, where the', ' points rejected by the algorithm have been masked.', '', '.. seealso::', '', ' ', ' :obj:`SigmaClip`', ' ', '.. rubric:: Notes', '', '', '1. The routine works by calculating::', '', ' deviation = data - cenfunc(data [,axis=int])', '', ' and then setting a mask for points outside the range::', '', ' deviation < (-sigma_lower * stdfunc(deviation))', ' deviation > (sigma_upper * stdfunc(deviation))', '', ' It will iterate a given number of times, or until no further', ' data are rejected.', '', '2. Most numpy functions deal well with masked arrays, but if one', ' would like to have an array with just the good (or bad) values, one', ' can use::', '', ' good_only = filtered_data.data[~filtered_data.mask]', ' bad_only = filtered_data.data[filtered_data.mask]', '', ' However, for multidimensional data, this flattens the array,', ' which may not be what one wants (especially if filtering was', ' done along an axis).', '', '.. rubric:: Examples', '', '', 'This example generates random variates from a Gaussian distribution', 'and returns a masked array in which all points that are more than 2', 'sample standard deviations from the median are masked::', '', ' >>> from astropy.stats import sigma_clip', ' >>> from numpy.random import randn', ' >>> randvar = randn(10000)', ' >>> filtered_data = sigma_clip(randvar, sigma=2, iters=5)', '', 'This example sigma clips on a similar distribution, but uses 3 sigma', 'relative to the sample *mean*, clips until convergence, and does not', 'copy the data::', '', ' >>> from astropy.stats import sigma_clip', ' >>> from numpy.random import randn', ' >>> from numpy import mean', ' >>> randvar = randn(10000)', ' >>> filtered_data = sigma_clip(randvar, sigma=3, iters=None,', ' ... cenfunc=mean, copy=False)', '', 'This example sigma clips along one axis on a similar distribution', '(with bad points inserted)::', '', ' >>> from astropy.stats import sigma_clip', ' >>> from numpy.random import normal', ' >>> from numpy import arange, diag, ones', ' >>> data = arange(5) + normal(0., 0.05, (5, 5)) + diag(ones(5))', ' >>> filtered_data = sigma_clip(data, sigma=2.3, axis=0)', '', 'Note that along the other axis, no points would be masked, as the', 'variance is higher.']:80: WARNING: py:obj reference target not found: True ['sigma_clip(data, sigma=3, sigma_lower=None, sigma_upper=None, iters=5, cenfunc=, stdfunc=, axis=None, copy=True)', ':module: astropy.stats', '', '', '', 'Perform sigma-clipping on the provided data.', '', 'The data will be iterated over, each time rejecting points that are', 'discrepant by more than a specified number of standard deviations from a', 'center value. If the data contains invalid values (NaNs or infs),', 'they are automatically masked before performing the sigma clipping.', '', 'For an object-oriented interface to sigma clipping, see', ':func:`SigmaClip`.', '', '.. note::', ' `scipy.stats.sigmaclip', ' `_', ' provides a subset of the functionality in this function.', '', ':Parameters:', '', ' **data** : array-like', '', ' The data to be sigma clipped.', '', ' **sigma** : float, optional', '', ' The number of standard deviations to use for both the lower and', ' upper clipping limit. These limits are overridden by', ' ``sigma_lower`` and ``sigma_upper``, if input. Defaults to 3.', '', ' **sigma_lower** : float or `None`, optional', '', ' The number of standard deviations to use as the lower bound for', ' the clipping limit. If `None` then the value of ``sigma`` is', ' used. Defaults to `None`.', '', ' **sigma_upper** : float or `None`, optional', '', ' The number of standard deviations to use as the upper bound for', ' the clipping limit. If `None` then the value of ``sigma`` is', ' used. Defaults to `None`.', '', ' **iters** : int or `None`, optional', '', ' The number of iterations to perform sigma clipping, or `None` to', ' clip until convergence is achieved (i.e., continue until the', ' last iteration clips nothing). Defaults to 5.', '', ' **cenfunc** : callable, optional', '', ' The function used to compute the center for the clipping. Must', ' be a callable that takes in a masked array and outputs the', ' central value. Defaults to the median (`numpy.ma.median`).', '', ' **stdfunc** : callable, optional', '', ' The function used to compute the standard deviation about the', ' center. Must be a callable that takes in a masked array and', ' outputs a width estimator. Masked (rejected) pixels are those', ' where::', ' ', ' deviation < (-sigma_lower * stdfunc(deviation))', ' deviation > (sigma_upper * stdfunc(deviation))', ' ', ' where::', ' ', ' deviation = data - cenfunc(data [,axis=int])', ' ', ' Defaults to the standard deviation (`numpy.std`).', '', ' **axis** : int or `None`, optional', '', ' If not `None`, clip along the given axis. For this case,', ' ``axis`` will be passed on to ``cenfunc`` and ``stdfunc``, which', ' are expected to return an array with the axis dimension removed', ' (like the numpy functions). If `None`, clip over all axes.', ' Defaults to `None`.', '', ' **copy** : bool, optional', '', ' If `True`, the ``data`` array will be copied. If `False`, the', ' returned masked array data will contain the same array as', ' ``data``. Defaults to `True`.', '', ':Returns:', '', ' **filtered_data** : `numpy.ma.MaskedArray`', '', ' A masked array with the same shape as ``data`` input, where the', ' points rejected by the algorithm have been masked.', '', '.. seealso::', '', ' ', ' :obj:`SigmaClip`', ' ', '.. rubric:: Notes', '', '', '1. The routine works by calculating::', '', ' deviation = data - cenfunc(data [,axis=int])', '', ' and then setting a mask for points outside the range::', '', ' deviation < (-sigma_lower * stdfunc(deviation))', ' deviation > (sigma_upper * stdfunc(deviation))', '', ' It will iterate a given number of times, or until no further', ' data are rejected.', '', '2. Most numpy functions deal well with masked arrays, but if one', ' would like to have an array with just the good (or bad) values, one', ' can use::', '', ' good_only = filtered_data.data[~filtered_data.mask]', ' bad_only = filtered_data.data[filtered_data.mask]', '', ' However, for multidimensional data, this flattens the array,', ' which may not be what one wants (especially if filtering was', ' done along an axis).', '', '.. rubric:: Examples', '', '', 'This example generates random variates from a Gaussian distribution', 'and returns a masked array in which all points that are more than 2', 'sample standard deviations from the median are masked::', '', ' >>> from astropy.stats import sigma_clip', ' >>> from numpy.random import randn', ' >>> randvar = randn(10000)', ' >>> filtered_data = sigma_clip(randvar, sigma=2, iters=5)', '', 'This example sigma clips on a similar distribution, but uses 3 sigma', 'relative to the sample *mean*, clips until convergence, and does not', 'copy the data::', '', ' >>> from astropy.stats import sigma_clip', ' >>> from numpy.random import randn', ' >>> from numpy import mean', ' >>> randvar = randn(10000)', ' >>> filtered_data = sigma_clip(randvar, sigma=3, iters=None,', ' ... cenfunc=mean, copy=False)', '', 'This example sigma clips along one axis on a similar distribution', '(with bad points inserted)::', '', ' >>> from astropy.stats import sigma_clip', ' >>> from numpy.random import normal', ' >>> from numpy import arange, diag, ones', ' >>> data = arange(5) + normal(0., 0.05, (5, 5)) + diag(ones(5))', ' >>> filtered_data = sigma_clip(data, sigma=2.3, axis=0)', '', 'Note that along the other axis, no points would be masked, as the', 'variance is higher.']:86: WARNING: py:obj reference target not found: numpy.ma.MaskedArray /<>/docs/api/astropy.stats.sigma_clipped_stats.rst:17: WARNING: py:obj reference target not found: numpy.ndarray ['sigma_clipped_stats(data, mask=None, mask_value=None, sigma=3.0, sigma_lower=None, sigma_upper=None, iters=5, cenfunc=, stdfunc=, std_ddof=0, axis=None)', ':module: astropy.stats', '', '', '', 'Calculate sigma-clipped statistics on the provided data.', '', '', ':Parameters:', '', ' **data** : array-like', '', ' Data array or object that can be converted to an array.', ' ', '', ' **mask** : `numpy.ndarray` (bool), optional', '', ' A boolean mask with the same shape as ``data``, where a `True`', ' value indicates the corresponding element of ``data`` is masked.', ' Masked pixels are excluded when computing the statistics.', ' ', '', ' **mask_value** : float, optional', '', ' A data value (e.g., ``0.0``) that is ignored when computing the', ' statistics. ``mask_value`` will be masked in addition to any', ' input ``mask``.', ' ', '', ' **sigma** : float, optional', '', ' The number of standard deviations to use as the lower and upper', ' clipping limit. These limits are overridden by ``sigma_lower``', ' and ``sigma_upper``, if input. Defaults to 3.', ' ', '', ' **sigma_lower** : float, optional', '', ' The number of standard deviations to use as the lower bound for', ' the clipping limit. If `None` then the value of ``sigma`` is used.', ' Defaults to `None`.', ' ', '', ' **sigma_upper** : float, optional', '', ' The number of standard deviations to use as the upper bound for', ' the clipping limit. If `None` then the value of ``sigma`` is used.', ' Defaults to `None`.', ' ', '', ' **iters** : int, optional', '', ' The number of iterations to perform sigma clipping, or `None` to', ' clip until convergence is achieved (i.e., continue until the', ' last iteration clips nothing) when calculating the statistics.', ' Defaults to 5.', ' ', '', ' **cenfunc** : callable, optional', '', ' The function used to compute the center for the clipping. Must', ' be a callable that takes in a masked array and outputs the', ' central value. Defaults to the median (`numpy.ma.median`).', ' ', '', ' **stdfunc** : callable, optional', '', ' The function used to compute the standard deviation about the', ' center. Must be a callable that takes in a masked array and', ' outputs a width estimator. Masked (rejected) pixels are those', ' where::', ' ', ' deviation < (-sigma_lower * stdfunc(deviation))', ' deviation > (sigma_upper * stdfunc(deviation))', ' ', ' where::', ' ', ' deviation = data - cenfunc(data [,axis=int])', ' ', ' Defaults to the standard deviation (`numpy.std`).', ' ', '', ' **std_ddof** : int, optional', '', ' The delta degrees of freedom for the standard deviation', ' calculation. The divisor used in the calculation is ``N -', ' std_ddof``, where ``N`` represents the number of elements. The', ' default is zero.', ' ', '', ' **axis** : int or `None`, optional', '', ' If not `None`, clip along the given axis. For this case,', ' ``axis`` will be passed on to ``cenfunc`` and ``stdfunc``, which', ' are expected to return an array with the axis dimension removed', ' (like the numpy functions). If `None`, clip over all axes.', ' Defaults to `None`.', '', ':Returns:', '', ' **mean, median, stddev** : float', '', ' The mean, median, and standard deviation of the sigma-clipped', ' data.']:13: WARNING: py:obj reference target not found: True ['sigma_clipped_stats(data, mask=None, mask_value=None, sigma=3.0, sigma_lower=None, sigma_upper=None, iters=5, cenfunc=, stdfunc=, std_ddof=0, axis=None)', ':module: astropy.stats', '', '', '', 'Calculate sigma-clipped statistics on the provided data.', '', '', ':Parameters:', '', ' **data** : array-like', '', ' Data array or object that can be converted to an array.', ' ', '', ' **mask** : `numpy.ndarray` (bool), optional', '', ' A boolean mask with the same shape as ``data``, where a `True`', ' value indicates the corresponding element of ``data`` is masked.', ' Masked pixels are excluded when computing the statistics.', ' ', '', ' **mask_value** : float, optional', '', ' A data value (e.g., ``0.0``) that is ignored when computing the', ' statistics. ``mask_value`` will be masked in addition to any', ' input ``mask``.', ' ', '', ' **sigma** : float, optional', '', ' The number of standard deviations to use as the lower and upper', ' clipping limit. These limits are overridden by ``sigma_lower``', ' and ``sigma_upper``, if input. Defaults to 3.', ' ', '', ' **sigma_lower** : float, optional', '', ' The number of standard deviations to use as the lower bound for', ' the clipping limit. If `None` then the value of ``sigma`` is used.', ' Defaults to `None`.', ' ', '', ' **sigma_upper** : float, optional', '', ' The number of standard deviations to use as the upper bound for', ' the clipping limit. If `None` then the value of ``sigma`` is used.', ' Defaults to `None`.', ' ', '', ' **iters** : int, optional', '', ' The number of iterations to perform sigma clipping, or `None` to', ' clip until convergence is achieved (i.e., continue until the', ' last iteration clips nothing) when calculating the statistics.', ' Defaults to 5.', ' ', '', ' **cenfunc** : callable, optional', '', ' The function used to compute the center for the clipping. Must', ' be a callable that takes in a masked array and outputs the', ' central value. Defaults to the median (`numpy.ma.median`).', ' ', '', ' **stdfunc** : callable, optional', '', ' The function used to compute the standard deviation about the', ' center. Must be a callable that takes in a masked array and', ' outputs a width estimator. Masked (rejected) pixels are those', ' where::', ' ', ' deviation < (-sigma_lower * stdfunc(deviation))', ' deviation > (sigma_upper * stdfunc(deviation))', ' ', ' where::', ' ', ' deviation = data - cenfunc(data [,axis=int])', ' ', ' Defaults to the standard deviation (`numpy.std`).', ' ', '', ' **std_ddof** : int, optional', '', ' The delta degrees of freedom for the standard deviation', ' calculation. The divisor used in the calculation is ``N -', ' std_ddof``, where ``N`` represents the number of elements. The', ' default is zero.', ' ', '', ' **axis** : int or `None`, optional', '', ' If not `None`, clip along the given axis. For this case,', ' ``axis`` will be passed on to ``cenfunc`` and ``stdfunc``, which', ' are expected to return an array with the axis dimension removed', ' (like the numpy functions). If `None`, clip over all axes.', ' Defaults to `None`.', '', ':Returns:', '', ' **mean, median, stddev** : float', '', ' The mean, median, and standard deviation of the sigma-clipped', ' data.']:31: WARNING: py:obj reference target not found: None ['sigma_clipped_stats(data, mask=None, mask_value=None, sigma=3.0, sigma_lower=None, sigma_upper=None, iters=5, cenfunc=, stdfunc=, std_ddof=0, axis=None)', ':module: astropy.stats', '', '', '', 'Calculate sigma-clipped statistics on the provided data.', '', '', ':Parameters:', '', ' **data** : array-like', '', ' Data array or object that can be converted to an array.', ' ', '', ' **mask** : `numpy.ndarray` (bool), optional', '', ' A boolean mask with the same shape as ``data``, where a `True`', ' value indicates the corresponding element of ``data`` is masked.', ' Masked pixels are excluded when computing the statistics.', ' ', '', ' **mask_value** : float, optional', '', ' A data value (e.g., ``0.0``) that is ignored when computing the', ' statistics. ``mask_value`` will be masked in addition to any', ' input ``mask``.', ' ', '', ' **sigma** : float, optional', '', ' The number of standard deviations to use as the lower and upper', ' clipping limit. These limits are overridden by ``sigma_lower``', ' and ``sigma_upper``, if input. Defaults to 3.', ' ', '', ' **sigma_lower** : float, optional', '', ' The number of standard deviations to use as the lower bound for', ' the clipping limit. If `None` then the value of ``sigma`` is used.', ' Defaults to `None`.', ' ', '', ' **sigma_upper** : float, optional', '', ' The number of standard deviations to use as the upper bound for', ' the clipping limit. If `None` then the value of ``sigma`` is used.', ' Defaults to `None`.', ' ', '', ' **iters** : int, optional', '', ' The number of iterations to perform sigma clipping, or `None` to', ' clip until convergence is achieved (i.e., continue until the', ' last iteration clips nothing) when calculating the statistics.', ' Defaults to 5.', ' ', '', ' **cenfunc** : callable, optional', '', ' The function used to compute the center for the clipping. Must', ' be a callable that takes in a masked array and outputs the', ' central value. Defaults to the median (`numpy.ma.median`).', ' ', '', ' **stdfunc** : callable, optional', '', ' The function used to compute the standard deviation about the', ' center. Must be a callable that takes in a masked array and', ' outputs a width estimator. Masked (rejected) pixels are those', ' where::', ' ', ' deviation < (-sigma_lower * stdfunc(deviation))', ' deviation > (sigma_upper * stdfunc(deviation))', ' ', ' where::', ' ', ' deviation = data - cenfunc(data [,axis=int])', ' ', ' Defaults to the standard deviation (`numpy.std`).', ' ', '', ' **std_ddof** : int, optional', '', ' The delta degrees of freedom for the standard deviation', ' calculation. The divisor used in the calculation is ``N -', ' std_ddof``, where ``N`` represents the number of elements. The', ' default is zero.', ' ', '', ' **axis** : int or `None`, optional', '', ' If not `None`, clip along the given axis. For this case,', ' ``axis`` will be passed on to ``cenfunc`` and ``stdfunc``, which', ' are expected to return an array with the axis dimension removed', ' (like the numpy functions). If `None`, clip over all axes.', ' Defaults to `None`.', '', ':Returns:', '', ' **mean, median, stddev** : float', '', ' The mean, median, and standard deviation of the sigma-clipped', ' data.']:31: WARNING: py:obj reference target not found: None ['sigma_clipped_stats(data, mask=None, mask_value=None, sigma=3.0, sigma_lower=None, sigma_upper=None, iters=5, cenfunc=, stdfunc=, std_ddof=0, axis=None)', ':module: astropy.stats', '', '', '', 'Calculate sigma-clipped statistics on the provided data.', '', '', ':Parameters:', '', ' **data** : array-like', '', ' Data array or object that can be converted to an array.', ' ', '', ' **mask** : `numpy.ndarray` (bool), optional', '', ' A boolean mask with the same shape as ``data``, where a `True`', ' value indicates the corresponding element of ``data`` is masked.', ' Masked pixels are excluded when computing the statistics.', ' ', '', ' **mask_value** : float, optional', '', ' A data value (e.g., ``0.0``) that is ignored when computing the', ' statistics. ``mask_value`` will be masked in addition to any', ' input ``mask``.', ' ', '', ' **sigma** : float, optional', '', ' The number of standard deviations to use as the lower and upper', ' clipping limit. These limits are overridden by ``sigma_lower``', ' and ``sigma_upper``, if input. Defaults to 3.', ' ', '', ' **sigma_lower** : float, optional', '', ' The number of standard deviations to use as the lower bound for', ' the clipping limit. If `None` then the value of ``sigma`` is used.', ' Defaults to `None`.', ' ', '', ' **sigma_upper** : float, optional', '', ' The number of standard deviations to use as the upper bound for', ' the clipping limit. If `None` then the value of ``sigma`` is used.', ' Defaults to `None`.', ' ', '', ' **iters** : int, optional', '', ' The number of iterations to perform sigma clipping, or `None` to', ' clip until convergence is achieved (i.e., continue until the', ' last iteration clips nothing) when calculating the statistics.', ' Defaults to 5.', ' ', '', ' **cenfunc** : callable, optional', '', ' The function used to compute the center for the clipping. Must', ' be a callable that takes in a masked array and outputs the', ' central value. Defaults to the median (`numpy.ma.median`).', ' ', '', ' **stdfunc** : callable, optional', '', ' The function used to compute the standard deviation about the', ' center. Must be a callable that takes in a masked array and', ' outputs a width estimator. Masked (rejected) pixels are those', ' where::', ' ', ' deviation < (-sigma_lower * stdfunc(deviation))', ' deviation > (sigma_upper * stdfunc(deviation))', ' ', ' where::', ' ', ' deviation = data - cenfunc(data [,axis=int])', ' ', ' Defaults to the standard deviation (`numpy.std`).', ' ', '', ' **std_ddof** : int, optional', '', ' The delta degrees of freedom for the standard deviation', ' calculation. The divisor used in the calculation is ``N -', ' std_ddof``, where ``N`` represents the number of elements. The', ' default is zero.', ' ', '', ' **axis** : int or `None`, optional', '', ' If not `None`, clip along the given axis. For this case,', ' ``axis`` will be passed on to ``cenfunc`` and ``stdfunc``, which', ' are expected to return an array with the axis dimension removed', ' (like the numpy functions). If `None`, clip over all axes.', ' Defaults to `None`.', '', ':Returns:', '', ' **mean, median, stddev** : float', '', ' The mean, median, and standard deviation of the sigma-clipped', ' data.']:37: WARNING: py:obj reference target not found: None ['sigma_clipped_stats(data, mask=None, mask_value=None, sigma=3.0, sigma_lower=None, sigma_upper=None, iters=5, cenfunc=, stdfunc=, std_ddof=0, axis=None)', ':module: astropy.stats', '', '', '', 'Calculate sigma-clipped statistics on the provided data.', '', '', ':Parameters:', '', ' **data** : array-like', '', ' Data array or object that can be converted to an array.', ' ', '', ' **mask** : `numpy.ndarray` (bool), optional', '', ' A boolean mask with the same shape as ``data``, where a `True`', ' value indicates the corresponding element of ``data`` is masked.', ' Masked pixels are excluded when computing the statistics.', ' ', '', ' **mask_value** : float, optional', '', ' A data value (e.g., ``0.0``) that is ignored when computing the', ' statistics. ``mask_value`` will be masked in addition to any', ' input ``mask``.', ' ', '', ' **sigma** : float, optional', '', ' The number of standard deviations to use as the lower and upper', ' clipping limit. These limits are overridden by ``sigma_lower``', ' and ``sigma_upper``, if input. Defaults to 3.', ' ', '', ' **sigma_lower** : float, optional', '', ' The number of standard deviations to use as the lower bound for', ' the clipping limit. If `None` then the value of ``sigma`` is used.', ' Defaults to `None`.', ' ', '', ' **sigma_upper** : float, optional', '', ' The number of standard deviations to use as the upper bound for', ' the clipping limit. If `None` then the value of ``sigma`` is used.', ' Defaults to `None`.', ' ', '', ' **iters** : int, optional', '', ' The number of iterations to perform sigma clipping, or `None` to', ' clip until convergence is achieved (i.e., continue until the', ' last iteration clips nothing) when calculating the statistics.', ' Defaults to 5.', ' ', '', ' **cenfunc** : callable, optional', '', ' The function used to compute the center for the clipping. Must', ' be a callable that takes in a masked array and outputs the', ' central value. Defaults to the median (`numpy.ma.median`).', ' ', '', ' **stdfunc** : callable, optional', '', ' The function used to compute the standard deviation about the', ' center. Must be a callable that takes in a masked array and', ' outputs a width estimator. Masked (rejected) pixels are those', ' where::', ' ', ' deviation < (-sigma_lower * stdfunc(deviation))', ' deviation > (sigma_upper * stdfunc(deviation))', ' ', ' where::', ' ', ' deviation = data - cenfunc(data [,axis=int])', ' ', ' Defaults to the standard deviation (`numpy.std`).', ' ', '', ' **std_ddof** : int, optional', '', ' The delta degrees of freedom for the standard deviation', ' calculation. The divisor used in the calculation is ``N -', ' std_ddof``, where ``N`` represents the number of elements. The', ' default is zero.', ' ', '', ' **axis** : int or `None`, optional', '', ' If not `None`, clip along the given axis. For this case,', ' ``axis`` will be passed on to ``cenfunc`` and ``stdfunc``, which', ' are expected to return an array with the axis dimension removed', ' (like the numpy functions). If `None`, clip over all axes.', ' Defaults to `None`.', '', ':Returns:', '', ' **mean, median, stddev** : float', '', ' The mean, median, and standard deviation of the sigma-clipped', ' data.']:37: WARNING: py:obj reference target not found: None ['sigma_clipped_stats(data, mask=None, mask_value=None, sigma=3.0, sigma_lower=None, sigma_upper=None, iters=5, cenfunc=, stdfunc=, std_ddof=0, axis=None)', ':module: astropy.stats', '', '', '', 'Calculate sigma-clipped statistics on the provided data.', '', '', ':Parameters:', '', ' **data** : array-like', '', ' Data array or object that can be converted to an array.', ' ', '', ' **mask** : `numpy.ndarray` (bool), optional', '', ' A boolean mask with the same shape as ``data``, where a `True`', ' value indicates the corresponding element of ``data`` is masked.', ' Masked pixels are excluded when computing the statistics.', ' ', '', ' **mask_value** : float, optional', '', ' A data value (e.g., ``0.0``) that is ignored when computing the', ' statistics. ``mask_value`` will be masked in addition to any', ' input ``mask``.', ' ', '', ' **sigma** : float, optional', '', ' The number of standard deviations to use as the lower and upper', ' clipping limit. These limits are overridden by ``sigma_lower``', ' and ``sigma_upper``, if input. Defaults to 3.', ' ', '', ' **sigma_lower** : float, optional', '', ' The number of standard deviations to use as the lower bound for', ' the clipping limit. If `None` then the value of ``sigma`` is used.', ' Defaults to `None`.', ' ', '', ' **sigma_upper** : float, optional', '', ' The number of standard deviations to use as the upper bound for', ' the clipping limit. If `None` then the value of ``sigma`` is used.', ' Defaults to `None`.', ' ', '', ' **iters** : int, optional', '', ' The number of iterations to perform sigma clipping, or `None` to', ' clip until convergence is achieved (i.e., continue until the', ' last iteration clips nothing) when calculating the statistics.', ' Defaults to 5.', ' ', '', ' **cenfunc** : callable, optional', '', ' The function used to compute the center for the clipping. Must', ' be a callable that takes in a masked array and outputs the', ' central value. Defaults to the median (`numpy.ma.median`).', ' ', '', ' **stdfunc** : callable, optional', '', ' The function used to compute the standard deviation about the', ' center. Must be a callable that takes in a masked array and', ' outputs a width estimator. Masked (rejected) pixels are those', ' where::', ' ', ' deviation < (-sigma_lower * stdfunc(deviation))', ' deviation > (sigma_upper * stdfunc(deviation))', ' ', ' where::', ' ', ' deviation = data - cenfunc(data [,axis=int])', ' ', ' Defaults to the standard deviation (`numpy.std`).', ' ', '', ' **std_ddof** : int, optional', '', ' The delta degrees of freedom for the standard deviation', ' calculation. The divisor used in the calculation is ``N -', ' std_ddof``, where ``N`` represents the number of elements. The', ' default is zero.', ' ', '', ' **axis** : int or `None`, optional', '', ' If not `None`, clip along the given axis. For this case,', ' ``axis`` will be passed on to ``cenfunc`` and ``stdfunc``, which', ' are expected to return an array with the axis dimension removed', ' (like the numpy functions). If `None`, clip over all axes.', ' Defaults to `None`.', '', ':Returns:', '', ' **mean, median, stddev** : float', '', ' The mean, median, and standard deviation of the sigma-clipped', ' data.']:43: WARNING: py:obj reference target not found: None ['sigma_clipped_stats(data, mask=None, mask_value=None, sigma=3.0, sigma_lower=None, sigma_upper=None, iters=5, cenfunc=, stdfunc=, std_ddof=0, axis=None)', ':module: astropy.stats', '', '', '', 'Calculate sigma-clipped statistics on the provided data.', '', '', ':Parameters:', '', ' **data** : array-like', '', ' Data array or object that can be converted to an array.', ' ', '', ' **mask** : `numpy.ndarray` (bool), optional', '', ' A boolean mask with the same shape as ``data``, where a `True`', ' value indicates the corresponding element of ``data`` is masked.', ' Masked pixels are excluded when computing the statistics.', ' ', '', ' **mask_value** : float, optional', '', ' A data value (e.g., ``0.0``) that is ignored when computing the', ' statistics. ``mask_value`` will be masked in addition to any', ' input ``mask``.', ' ', '', ' **sigma** : float, optional', '', ' The number of standard deviations to use as the lower and upper', ' clipping limit. These limits are overridden by ``sigma_lower``', ' and ``sigma_upper``, if input. Defaults to 3.', ' ', '', ' **sigma_lower** : float, optional', '', ' The number of standard deviations to use as the lower bound for', ' the clipping limit. If `None` then the value of ``sigma`` is used.', ' Defaults to `None`.', ' ', '', ' **sigma_upper** : float, optional', '', ' The number of standard deviations to use as the upper bound for', ' the clipping limit. If `None` then the value of ``sigma`` is used.', ' Defaults to `None`.', ' ', '', ' **iters** : int, optional', '', ' The number of iterations to perform sigma clipping, or `None` to', ' clip until convergence is achieved (i.e., continue until the', ' last iteration clips nothing) when calculating the statistics.', ' Defaults to 5.', ' ', '', ' **cenfunc** : callable, optional', '', ' The function used to compute the center for the clipping. Must', ' be a callable that takes in a masked array and outputs the', ' central value. Defaults to the median (`numpy.ma.median`).', ' ', '', ' **stdfunc** : callable, optional', '', ' The function used to compute the standard deviation about the', ' center. Must be a callable that takes in a masked array and', ' outputs a width estimator. Masked (rejected) pixels are those', ' where::', ' ', ' deviation < (-sigma_lower * stdfunc(deviation))', ' deviation > (sigma_upper * stdfunc(deviation))', ' ', ' where::', ' ', ' deviation = data - cenfunc(data [,axis=int])', ' ', ' Defaults to the standard deviation (`numpy.std`).', ' ', '', ' **std_ddof** : int, optional', '', ' The delta degrees of freedom for the standard deviation', ' calculation. The divisor used in the calculation is ``N -', ' std_ddof``, where ``N`` represents the number of elements. The', ' default is zero.', ' ', '', ' **axis** : int or `None`, optional', '', ' If not `None`, clip along the given axis. For this case,', ' ``axis`` will be passed on to ``cenfunc`` and ``stdfunc``, which', ' are expected to return an array with the axis dimension removed', ' (like the numpy functions). If `None`, clip over all axes.', ' Defaults to `None`.', '', ':Returns:', '', ' **mean, median, stddev** : float', '', ' The mean, median, and standard deviation of the sigma-clipped', ' data.']:50: WARNING: py:obj reference target not found: numpy.ma.median ['sigma_clipped_stats(data, mask=None, mask_value=None, sigma=3.0, sigma_lower=None, sigma_upper=None, iters=5, cenfunc=, stdfunc=, std_ddof=0, axis=None)', ':module: astropy.stats', '', '', '', 'Calculate sigma-clipped statistics on the provided data.', '', '', ':Parameters:', '', ' **data** : array-like', '', ' Data array or object that can be converted to an array.', ' ', '', ' **mask** : `numpy.ndarray` (bool), optional', '', ' A boolean mask with the same shape as ``data``, where a `True`', ' value indicates the corresponding element of ``data`` is masked.', ' Masked pixels are excluded when computing the statistics.', ' ', '', ' **mask_value** : float, optional', '', ' A data value (e.g., ``0.0``) that is ignored when computing the', ' statistics. ``mask_value`` will be masked in addition to any', ' input ``mask``.', ' ', '', ' **sigma** : float, optional', '', ' The number of standard deviations to use as the lower and upper', ' clipping limit. These limits are overridden by ``sigma_lower``', ' and ``sigma_upper``, if input. Defaults to 3.', ' ', '', ' **sigma_lower** : float, optional', '', ' The number of standard deviations to use as the lower bound for', ' the clipping limit. If `None` then the value of ``sigma`` is used.', ' Defaults to `None`.', ' ', '', ' **sigma_upper** : float, optional', '', ' The number of standard deviations to use as the upper bound for', ' the clipping limit. If `None` then the value of ``sigma`` is used.', ' Defaults to `None`.', ' ', '', ' **iters** : int, optional', '', ' The number of iterations to perform sigma clipping, or `None` to', ' clip until convergence is achieved (i.e., continue until the', ' last iteration clips nothing) when calculating the statistics.', ' Defaults to 5.', ' ', '', ' **cenfunc** : callable, optional', '', ' The function used to compute the center for the clipping. Must', ' be a callable that takes in a masked array and outputs the', ' central value. Defaults to the median (`numpy.ma.median`).', ' ', '', ' **stdfunc** : callable, optional', '', ' The function used to compute the standard deviation about the', ' center. Must be a callable that takes in a masked array and', ' outputs a width estimator. Masked (rejected) pixels are those', ' where::', ' ', ' deviation < (-sigma_lower * stdfunc(deviation))', ' deviation > (sigma_upper * stdfunc(deviation))', ' ', ' where::', ' ', ' deviation = data - cenfunc(data [,axis=int])', ' ', ' Defaults to the standard deviation (`numpy.std`).', ' ', '', ' **std_ddof** : int, optional', '', ' The delta degrees of freedom for the standard deviation', ' calculation. The divisor used in the calculation is ``N -', ' std_ddof``, where ``N`` represents the number of elements. The', ' default is zero.', ' ', '', ' **axis** : int or `None`, optional', '', ' If not `None`, clip along the given axis. For this case,', ' ``axis`` will be passed on to ``cenfunc`` and ``stdfunc``, which', ' are expected to return an array with the axis dimension removed', ' (like the numpy functions). If `None`, clip over all axes.', ' Defaults to `None`.', '', ':Returns:', '', ' **mean, median, stddev** : float', '', ' The mean, median, and standard deviation of the sigma-clipped', ' data.']:68: WARNING: py:obj reference target not found: numpy.std ['sigma_clipped_stats(data, mask=None, mask_value=None, sigma=3.0, sigma_lower=None, sigma_upper=None, iters=5, cenfunc=, stdfunc=, std_ddof=0, axis=None)', ':module: astropy.stats', '', '', '', 'Calculate sigma-clipped statistics on the provided data.', '', '', ':Parameters:', '', ' **data** : array-like', '', ' Data array or object that can be converted to an array.', ' ', '', ' **mask** : `numpy.ndarray` (bool), optional', '', ' A boolean mask with the same shape as ``data``, where a `True`', ' value indicates the corresponding element of ``data`` is masked.', ' Masked pixels are excluded when computing the statistics.', ' ', '', ' **mask_value** : float, optional', '', ' A data value (e.g., ``0.0``) that is ignored when computing the', ' statistics. ``mask_value`` will be masked in addition to any', ' input ``mask``.', ' ', '', ' **sigma** : float, optional', '', ' The number of standard deviations to use as the lower and upper', ' clipping limit. These limits are overridden by ``sigma_lower``', ' and ``sigma_upper``, if input. Defaults to 3.', ' ', '', ' **sigma_lower** : float, optional', '', ' The number of standard deviations to use as the lower bound for', ' the clipping limit. If `None` then the value of ``sigma`` is used.', ' Defaults to `None`.', ' ', '', ' **sigma_upper** : float, optional', '', ' The number of standard deviations to use as the upper bound for', ' the clipping limit. If `None` then the value of ``sigma`` is used.', ' Defaults to `None`.', ' ', '', ' **iters** : int, optional', '', ' The number of iterations to perform sigma clipping, or `None` to', ' clip until convergence is achieved (i.e., continue until the', ' last iteration clips nothing) when calculating the statistics.', ' Defaults to 5.', ' ', '', ' **cenfunc** : callable, optional', '', ' The function used to compute the center for the clipping. Must', ' be a callable that takes in a masked array and outputs the', ' central value. Defaults to the median (`numpy.ma.median`).', ' ', '', ' **stdfunc** : callable, optional', '', ' The function used to compute the standard deviation about the', ' center. Must be a callable that takes in a masked array and', ' outputs a width estimator. Masked (rejected) pixels are those', ' where::', ' ', ' deviation < (-sigma_lower * stdfunc(deviation))', ' deviation > (sigma_upper * stdfunc(deviation))', ' ', ' where::', ' ', ' deviation = data - cenfunc(data [,axis=int])', ' ', ' Defaults to the standard deviation (`numpy.std`).', ' ', '', ' **std_ddof** : int, optional', '', ' The delta degrees of freedom for the standard deviation', ' calculation. The divisor used in the calculation is ``N -', ' std_ddof``, where ``N`` represents the number of elements. The', ' default is zero.', ' ', '', ' **axis** : int or `None`, optional', '', ' If not `None`, clip along the given axis. For this case,', ' ``axis`` will be passed on to ``cenfunc`` and ``stdfunc``, which', ' are expected to return an array with the axis dimension removed', ' (like the numpy functions). If `None`, clip over all axes.', ' Defaults to `None`.', '', ':Returns:', '', ' **mean, median, stddev** : float', '', ' The mean, median, and standard deviation of the sigma-clipped', ' data.']:77: WARNING: py:obj reference target not found: None ['sigma_clipped_stats(data, mask=None, mask_value=None, sigma=3.0, sigma_lower=None, sigma_upper=None, iters=5, cenfunc=, stdfunc=, std_ddof=0, axis=None)', ':module: astropy.stats', '', '', '', 'Calculate sigma-clipped statistics on the provided data.', '', '', ':Parameters:', '', ' **data** : array-like', '', ' Data array or object that can be converted to an array.', ' ', '', ' **mask** : `numpy.ndarray` (bool), optional', '', ' A boolean mask with the same shape as ``data``, where a `True`', ' value indicates the corresponding element of ``data`` is masked.', ' Masked pixels are excluded when computing the statistics.', ' ', '', ' **mask_value** : float, optional', '', ' A data value (e.g., ``0.0``) that is ignored when computing the', ' statistics. ``mask_value`` will be masked in addition to any', ' input ``mask``.', ' ', '', ' **sigma** : float, optional', '', ' The number of standard deviations to use as the lower and upper', ' clipping limit. These limits are overridden by ``sigma_lower``', ' and ``sigma_upper``, if input. Defaults to 3.', ' ', '', ' **sigma_lower** : float, optional', '', ' The number of standard deviations to use as the lower bound for', ' the clipping limit. If `None` then the value of ``sigma`` is used.', ' Defaults to `None`.', ' ', '', ' **sigma_upper** : float, optional', '', ' The number of standard deviations to use as the upper bound for', ' the clipping limit. If `None` then the value of ``sigma`` is used.', ' Defaults to `None`.', ' ', '', ' **iters** : int, optional', '', ' The number of iterations to perform sigma clipping, or `None` to', ' clip until convergence is achieved (i.e., continue until the', ' last iteration clips nothing) when calculating the statistics.', ' Defaults to 5.', ' ', '', ' **cenfunc** : callable, optional', '', ' The function used to compute the center for the clipping. Must', ' be a callable that takes in a masked array and outputs the', ' central value. Defaults to the median (`numpy.ma.median`).', ' ', '', ' **stdfunc** : callable, optional', '', ' The function used to compute the standard deviation about the', ' center. Must be a callable that takes in a masked array and', ' outputs a width estimator. Masked (rejected) pixels are those', ' where::', ' ', ' deviation < (-sigma_lower * stdfunc(deviation))', ' deviation > (sigma_upper * stdfunc(deviation))', ' ', ' where::', ' ', ' deviation = data - cenfunc(data [,axis=int])', ' ', ' Defaults to the standard deviation (`numpy.std`).', ' ', '', ' **std_ddof** : int, optional', '', ' The delta degrees of freedom for the standard deviation', ' calculation. The divisor used in the calculation is ``N -', ' std_ddof``, where ``N`` represents the number of elements. The', ' default is zero.', ' ', '', ' **axis** : int or `None`, optional', '', ' If not `None`, clip along the given axis. For this case,', ' ``axis`` will be passed on to ``cenfunc`` and ``stdfunc``, which', ' are expected to return an array with the axis dimension removed', ' (like the numpy functions). If `None`, clip over all axes.', ' Defaults to `None`.', '', ':Returns:', '', ' **mean, median, stddev** : float', '', ' The mean, median, and standard deviation of the sigma-clipped', ' data.']:79: WARNING: py:obj reference target not found: None ['sigma_clipped_stats(data, mask=None, mask_value=None, sigma=3.0, sigma_lower=None, sigma_upper=None, iters=5, cenfunc=, stdfunc=, std_ddof=0, axis=None)', ':module: astropy.stats', '', '', '', 'Calculate sigma-clipped statistics on the provided data.', '', '', ':Parameters:', '', ' **data** : array-like', '', ' Data array or object that can be converted to an array.', ' ', '', ' **mask** : `numpy.ndarray` (bool), optional', '', ' A boolean mask with the same shape as ``data``, where a `True`', ' value indicates the corresponding element of ``data`` is masked.', ' Masked pixels are excluded when computing the statistics.', ' ', '', ' **mask_value** : float, optional', '', ' A data value (e.g., ``0.0``) that is ignored when computing the', ' statistics. ``mask_value`` will be masked in addition to any', ' input ``mask``.', ' ', '', ' **sigma** : float, optional', '', ' The number of standard deviations to use as the lower and upper', ' clipping limit. These limits are overridden by ``sigma_lower``', ' and ``sigma_upper``, if input. Defaults to 3.', ' ', '', ' **sigma_lower** : float, optional', '', ' The number of standard deviations to use as the lower bound for', ' the clipping limit. If `None` then the value of ``sigma`` is used.', ' Defaults to `None`.', ' ', '', ' **sigma_upper** : float, optional', '', ' The number of standard deviations to use as the upper bound for', ' the clipping limit. If `None` then the value of ``sigma`` is used.', ' Defaults to `None`.', ' ', '', ' **iters** : int, optional', '', ' The number of iterations to perform sigma clipping, or `None` to', ' clip until convergence is achieved (i.e., continue until the', ' last iteration clips nothing) when calculating the statistics.', ' Defaults to 5.', ' ', '', ' **cenfunc** : callable, optional', '', ' The function used to compute the center for the clipping. Must', ' be a callable that takes in a masked array and outputs the', ' central value. 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For this case,', ' ``axis`` will be passed on to ``cenfunc`` and ``stdfunc``, which', ' are expected to return an array with the axis dimension removed', ' (like the numpy functions). If `None`, clip over all axes.', ' Defaults to `None`.', '', ':Returns:', '', ' **mean, median, stddev** : float', '', ' The mean, median, and standard deviation of the sigma-clipped', ' data.']:79: WARNING: py:obj reference target not found: None ['sigma_clipped_stats(data, mask=None, mask_value=None, sigma=3.0, sigma_lower=None, sigma_upper=None, iters=5, cenfunc=, stdfunc=, std_ddof=0, axis=None)', ':module: astropy.stats', '', '', '', 'Calculate sigma-clipped statistics on the provided data.', '', '', ':Parameters:', '', ' **data** : array-like', '', ' Data array or object that can be converted to an array.', ' ', '', ' **mask** : `numpy.ndarray` (bool), optional', '', ' A boolean mask with the same shape as ``data``, where a `True`', ' value indicates the corresponding element of ``data`` is masked.', ' Masked pixels are excluded when computing the statistics.', ' ', '', ' **mask_value** : float, optional', '', ' A data value (e.g., ``0.0``) that is ignored when computing the', ' statistics. ``mask_value`` will be masked in addition to any', ' input ``mask``.', ' ', '', ' **sigma** : float, optional', '', ' The number of standard deviations to use as the lower and upper', ' clipping limit. These limits are overridden by ``sigma_lower``', ' and ``sigma_upper``, if input. Defaults to 3.', ' ', '', ' **sigma_lower** : float, optional', '', ' The number of standard deviations to use as the lower bound for', ' the clipping limit. If `None` then the value of ``sigma`` is used.', ' Defaults to `None`.', ' ', '', ' **sigma_upper** : float, optional', '', ' The number of standard deviations to use as the upper bound for', ' the clipping limit. If `None` then the value of ``sigma`` is used.', ' Defaults to `None`.', ' ', '', ' **iters** : int, optional', '', ' The number of iterations to perform sigma clipping, or `None` to', ' clip until convergence is achieved (i.e., continue until the', ' last iteration clips nothing) when calculating the statistics.', ' Defaults to 5.', ' ', '', ' **cenfunc** : callable, optional', '', ' The function used to compute the center for the clipping. Must', ' be a callable that takes in a masked array and outputs the', ' central value. Defaults to the median (`numpy.ma.median`).', ' ', '', ' **stdfunc** : callable, optional', '', ' The function used to compute the standard deviation about the', ' center. Must be a callable that takes in a masked array and', ' outputs a width estimator. Masked (rejected) pixels are those', ' where::', ' ', ' deviation < (-sigma_lower * stdfunc(deviation))', ' deviation > (sigma_upper * stdfunc(deviation))', ' ', ' where::', ' ', ' deviation = data - cenfunc(data [,axis=int])', ' ', ' Defaults to the standard deviation (`numpy.std`).', ' ', '', ' **std_ddof** : int, optional', '', ' The delta degrees of freedom for the standard deviation', ' calculation. The divisor used in the calculation is ``N -', ' std_ddof``, where ``N`` represents the number of elements. The', ' default is zero.', ' ', '', ' **axis** : int or `None`, optional', '', ' If not `None`, clip along the given axis. For this case,', ' ``axis`` will be passed on to ``cenfunc`` and ``stdfunc``, which', ' are expected to return an array with the axis dimension removed', ' (like the numpy functions). If `None`, clip over all axes.', ' Defaults to `None`.', '', ':Returns:', '', ' **mean, median, stddev** : float', '', ' The mean, median, and standard deviation of the sigma-clipped', ' data.']:79: WARNING: py:obj reference target not found: None table/references.txt:4: WARNING: py:class reference target not found: object /<>/docs/api/astropy.table.Column.rst:34: WARNING: py:obj reference target not found: str.format /<>/docs/api/astropy.table.ColumnGroups.rst:7: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.table.ColumnGroups.rst:7: WARNING: py:obj reference target not found: False table/references.txt:4: WARNING: py:class reference target not found: object /<>/docs/api/astropy.table.MaskedColumn.rst:42: WARNING: py:obj reference target not found: str.format /<>/docs/api/astropy.table.MaskedColumn.rst:6: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.table.MaskedColumn.rst:6: WARNING: py:obj reference target not found: None table/references.txt:4: WARNING: py:class reference target not found: numpy.ndarray table/references.txt:4: WARNING: py:class reference target not found: object table/references.txt:4: WARNING: py:class reference target not found: dict table/references.txt:4: WARNING: py:class reference target not found: object table/references.txt:4: WARNING: py:class reference target not found: object internal padding after table/references.txt:8: WARNING: py:obj reference target not found: numpy /<>/docs/api/astropy.table.Table.rst:11: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.table.Table.rst:11: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.table.Table.rst:10: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.table.Table.rst:24: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.table.Table.rst:28: WARNING: py:obj reference target not found: None table/references.txt:6: WARNING: py:obj reference target not found: numpy.argsort /<>/docs/api/astropy.table.Table.rst:7: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.table.Table.rst:6: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.table.Table.rst:10: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.table.Table.rst:20: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.table.Table.rst:24: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.table.Table.rst:20: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.table.Table.rst:15: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.table.Table.rst:19: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.table.Table.rst:41: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.table.Table.rst:47: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.table.Table.rst:55: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.table.Table.rst:18: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.table.Table.rst:36: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.table.Table.rst:13: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.table.Table.rst:30: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.table.Table.rst:35: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.table.Table.rst:4: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.table.Table.rst:11: WARNING: py:obj reference target not found: None table/references.txt:4: WARNING: py:class reference target not found: collections.OrderedDict table/references.txt:4: WARNING: py:class reference target not found: object /<>/docs/api/astropy.table.TableGroups.rst:8: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.table.TableGroups.rst:8: WARNING: py:obj reference target not found: False ["unique(input_table, keys=None, silent=False, keep='first')", ':module: astropy.table', '', '', '', 'Returns the unique rows of a table.', '', '', ':Parameters:', '', ' **input_table** : `~astropy.table.Table` object or a value that', '', ' will initialize a `~astropy.table.Table` object', '', ' **keys** : str or list of str', '', ' Name(s) of column(s) used to create unique rows.', ' Default is to use all columns.', '', " **keep** : one of 'first', 'last' or 'none'", '', ' Whether to keep the first or last row for each set of', " duplicates. If 'none', all rows that are duplicate are", ' removed, leaving only rows that are already unique in', ' the input.', " Default is 'first'.", '', ' **silent** : boolean', '', ' If `True`, masked value column(s) are silently removed from', ' ``keys``. If `False`, an exception is raised when ``keys``', ' contains masked value column(s).', ' Default is `False`.', '', ':Returns:', '', ' **unique_table** : `~astropy.table.Table` object', '', ' New table containing only the unique rows of ``input_table``.', '', '.. rubric:: Examples', '', '', '>>> from astropy.table import Table', '>>> import numpy as np', '>>> table = Table(data=[[1,2,3,2,3,3],', '... [2,3,4,5,4,6],', '... [3,4,5,6,7,8]],', "... names=['col1', 'col2', 'col3'],", '... dtype=[np.int32, np.int32, np.int32])', '>>> table', '', ' col1 col2 col3', 'int32 int32 int32', '----- ----- -----', ' 1 2 3', ' 2 3 4', ' 3 4 5', ' 2 5 6', ' 3 4 7', ' 3 6 8', ">>> unique(table, keys='col1')", '
', ' col1 col2 col3', 'int32 int32 int32', '----- ----- -----', ' 1 2 3', ' 2 3 4', ' 3 4 5', ">>> unique(table, keys=['col1'], keep='last')", '
', ' col1 col2 col3', 'int32 int32 int32', '----- ----- -----', ' 1 2 3', ' 2 5 6', ' 3 6 8', ">>> unique(table, keys=['col1', 'col2'])", '
', ' col1 col2 col3', 'int32 int32 int32', '----- ----- -----', ' 1 2 3', ' 2 3 4', ' 2 5 6', ' 3 4 5', ' 3 6 8', ">>> unique(table, keys=['col1', 'col2'], keep='none')", '
', ' col1 col2 col3', 'int32 int32 int32', '----- ----- -----', ' 1 2 3', ' 2 3 4', ' 2 5 6', ' 3 6 8', ">>> unique(table, keys=['col1'], keep='none')", '
', ' col1 col2 col3', 'int32 int32 int32', '----- ----- -----', ' 1 2 3']:26: WARNING: py:obj reference target not found: True ["unique(input_table, keys=None, silent=False, keep='first')", ':module: astropy.table', '', '', '', 'Returns the unique rows of a table.', '', '', ':Parameters:', '', ' **input_table** : `~astropy.table.Table` object or a value that', '', ' will initialize a `~astropy.table.Table` object', '', ' **keys** : str or list of str', '', ' Name(s) of column(s) used to create unique rows.', ' Default is to use all columns.', '', " **keep** : one of 'first', 'last' or 'none'", '', ' Whether to keep the first or last row for each set of', " duplicates. If 'none', all rows that are duplicate are", ' removed, leaving only rows that are already unique in', ' the input.', " Default is 'first'.", '', ' **silent** : boolean', '', ' If `True`, masked value column(s) are silently removed from', ' ``keys``. If `False`, an exception is raised when ``keys``', ' contains masked value column(s).', ' Default is `False`.', '', ':Returns:', '', ' **unique_table** : `~astropy.table.Table` object', '', ' New table containing only the unique rows of ``input_table``.', '', '.. rubric:: Examples', '', '', '>>> from astropy.table import Table', '>>> import numpy as np', '>>> table = Table(data=[[1,2,3,2,3,3],', '... [2,3,4,5,4,6],', '... [3,4,5,6,7,8]],', "... names=['col1', 'col2', 'col3'],", '... dtype=[np.int32, np.int32, np.int32])', '>>> table', '
', ' col1 col2 col3', 'int32 int32 int32', '----- ----- -----', ' 1 2 3', ' 2 3 4', ' 3 4 5', ' 2 5 6', ' 3 4 7', ' 3 6 8', ">>> unique(table, keys='col1')", '
', ' col1 col2 col3', 'int32 int32 int32', '----- ----- -----', ' 1 2 3', ' 2 3 4', ' 3 4 5', ">>> unique(table, keys=['col1'], keep='last')", '
', ' col1 col2 col3', 'int32 int32 int32', '----- ----- -----', ' 1 2 3', ' 2 5 6', ' 3 6 8', ">>> unique(table, keys=['col1', 'col2'])", '
', ' col1 col2 col3', 'int32 int32 int32', '----- ----- -----', ' 1 2 3', ' 2 3 4', ' 2 5 6', ' 3 4 5', ' 3 6 8', ">>> unique(table, keys=['col1', 'col2'], keep='none')", '
', ' col1 col2 col3', 'int32 int32 int32', '----- ----- -----', ' 1 2 3', ' 2 3 4', ' 2 5 6', ' 3 6 8', ">>> unique(table, keys=['col1'], keep='none')", '
', ' col1 col2 col3', 'int32 int32 int32', '----- ----- -----', ' 1 2 3']:26: WARNING: py:obj reference target not found: False ["unique(input_table, keys=None, silent=False, keep='first')", ':module: astropy.table', '', '', '', 'Returns the unique rows of a table.', '', '', ':Parameters:', '', ' **input_table** : `~astropy.table.Table` object or a value that', '', ' will initialize a `~astropy.table.Table` object', '', ' **keys** : str or list of str', '', ' Name(s) of column(s) used to create unique rows.', ' Default is to use all columns.', '', " **keep** : one of 'first', 'last' or 'none'", '', ' Whether to keep the first or last row for each set of', " duplicates. If 'none', all rows that are duplicate are", ' removed, leaving only rows that are already unique in', ' the input.', " Default is 'first'.", '', ' **silent** : boolean', '', ' If `True`, masked value column(s) are silently removed from', ' ``keys``. If `False`, an exception is raised when ``keys``', ' contains masked value column(s).', ' Default is `False`.', '', ':Returns:', '', ' **unique_table** : `~astropy.table.Table` object', '', ' New table containing only the unique rows of ``input_table``.', '', '.. rubric:: Examples', '', '', '>>> from astropy.table import Table', '>>> import numpy as np', '>>> table = Table(data=[[1,2,3,2,3,3],', '... [2,3,4,5,4,6],', '... [3,4,5,6,7,8]],', "... names=['col1', 'col2', 'col3'],", '... dtype=[np.int32, np.int32, np.int32])', '>>> table', '
', ' col1 col2 col3', 'int32 int32 int32', '----- ----- -----', ' 1 2 3', ' 2 3 4', ' 3 4 5', ' 2 5 6', ' 3 4 7', ' 3 6 8', ">>> unique(table, keys='col1')", '
', ' col1 col2 col3', 'int32 int32 int32', '----- ----- -----', ' 1 2 3', ' 2 3 4', ' 3 4 5', ">>> unique(table, keys=['col1'], keep='last')", '
', ' col1 col2 col3', 'int32 int32 int32', '----- ----- -----', ' 1 2 3', ' 2 5 6', ' 3 6 8', ">>> unique(table, keys=['col1', 'col2'])", '
', ' col1 col2 col3', 'int32 int32 int32', '----- ----- -----', ' 1 2 3', ' 2 3 4', ' 2 5 6', ' 3 4 5', ' 3 6 8', ">>> unique(table, keys=['col1', 'col2'], keep='none')", '
', ' col1 col2 col3', 'int32 int32 int32', '----- ----- -----', ' 1 2 3', ' 2 3 4', ' 2 5 6', ' 3 6 8', ">>> unique(table, keys=['col1'], keep='none')", '
', ' col1 col2 col3', 'int32 int32 int32', '----- ----- -----', ' 1 2 3']:26: WARNING: py:obj reference target not found: False /<>/docs/api/astropy.tests.helper.assert_quantity_allclose.rst:11: WARNING: py:func reference target not found: numpy.testing.assert_allclose /<>/docs/api/astropy.tests.helper.catch_warnings.rst:7: WARNING: py:class reference target not found: warnings.catch_warnings /<>/docs/api/astropy.tests.helper.enable_deprecations_as_exceptions.rst:15: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.tests.helper.quantity_allclose.rst:11: WARNING: py:func reference target not found: numpy.allclose /<>/docs/api/astropy.tests.helper.raises.rst:7: WARNING: py:class reference target not found: object /<>/docs/api/astropy.tests.runner.TestRunner.rst:1: WARNING: py:obj reference target not found: int /<>/docs/api/astropy.tests.runner.TestRunner.rst:1: WARNING: py:obj reference target not found: bool /<>/docs/api/astropy.tests.runner.TestRunner.rst:12: WARNING: py:obj reference target not found: int /<>/docs/api/astropy.tests.runner.TestRunner.rst:67: WARNING: py:obj reference target not found: int ['TestRunner.run_tests(**kwargs)', ':module: astropy.tests.runner', '', '', '', 'Run the tests for the package.', '', '', ':Parameters:', '', ' **package** : str, optional', '', " The name of a specific package to test, e.g. 'io.fits' or 'utils'.", ' If nothing is specified all default Astropy tests are run.', ' ', '', ' **args** : str, optional', '', ' Additional arguments to be passed to ``pytest.main`` in the ``args``', ' keyword argument.', ' ', '', ' **docs_path** : str, optional', '', ' The path to the documentation .rst files.', ' ', '', ' **open_files** : bool, optional', '', ' Fail when any tests leave files open. Off by default, because', ' this adds extra run time to the test suite. Requires the', ' ``psutil`` package.', ' ', '', ' **parallel** : int, optional', '', ' When provided, run the tests in parallel on the specified', ' number of CPUs. If parallel is negative, it will use the all', ' the cores on the machine. Requires the ``pytest-xdist`` plugin.', ' ', '', " **pastebin** : ('failed', 'all', None), optional", '', ' Convenience option for turning on py.test pastebin output. Set to', " 'failed' to upload info for failed tests, or 'all' to upload info", ' for all tests.', ' ', '', ' **pdb** : bool, optional', '', ' Turn on PDB post-mortem analysis for failing tests. Same as', ' specifying ``--pdb`` in ``args``.', ' ', '', ' **pep8** : bool, optional', '', ' Turn on PEP8 checking via the pytest-pep8 plugin and disable normal', ' tests. Same as specifying ``--pep8 -k pep8`` in ``args``.', ' ', '', ' **plugins** : list, optional', '', ' Plugins to be passed to ``pytest.main`` in the ``plugins`` keyword', ' argument.', ' ', '', " **remote_data** : {'none', 'astropy', 'any'}, optional", '', ' Controls whether to run tests marked with @remote_data. This can be', ' set to run no tests with remote data (``none``), only ones that use', ' data from http://data.astropy.org (``astropy``), or all tests that', ' use remote data (``any``). The default is ``none``.', ' ', '', ' **repeat** : `int`, optional', '', ' If set, specifies how many times each test should be run. This is', ' useful for diagnosing sporadic failures.', ' ', '', ' **skip_docs** : `bool`, optional', '', ' When `True`, skips running the doctests in the .rst files.', ' ', '', ' **test_path** : str, optional', '', ' Specify location to test by path. May be a single file or', ' directory. Must be specified absolutely or relative to the', ' calling directory.', ' ', '', ' **verbose** : bool, optional', '', ' Convenience option to turn on verbose output from py.test. Passing', ' True is the same as specifying ``-v`` in ``args``.', '', '.. seealso::', '', ' ', ' :obj:`pytest.main`', ' This method builds arguments for and then calls this function.']:66: WARNING: py:obj reference target not found: bool ['TestRunner.run_tests(**kwargs)', ':module: astropy.tests.runner', '', '', '', 'Run the tests for the package.', '', '', ':Parameters:', '', ' **package** : str, optional', '', " The name of a specific package to test, e.g. 'io.fits' or 'utils'.", ' If nothing is specified all default Astropy tests are run.', ' ', '', ' **args** : str, optional', '', ' Additional arguments to be passed to ``pytest.main`` in the ``args``', ' keyword argument.', ' ', '', ' **docs_path** : str, optional', '', ' The path to the documentation .rst files.', ' ', '', ' **open_files** : bool, optional', '', ' Fail when any tests leave files open. Off by default, because', ' this adds extra run time to the test suite. Requires the', ' ``psutil`` package.', ' ', '', ' **parallel** : int, optional', '', ' When provided, run the tests in parallel on the specified', ' number of CPUs. If parallel is negative, it will use the all', ' the cores on the machine. Requires the ``pytest-xdist`` plugin.', ' ', '', " **pastebin** : ('failed', 'all', None), optional", '', ' Convenience option for turning on py.test pastebin output. Set to', " 'failed' to upload info for failed tests, or 'all' to upload info", ' for all tests.', ' ', '', ' **pdb** : bool, optional', '', ' Turn on PDB post-mortem analysis for failing tests. Same as', ' specifying ``--pdb`` in ``args``.', ' ', '', ' **pep8** : bool, optional', '', ' Turn on PEP8 checking via the pytest-pep8 plugin and disable normal', ' tests. Same as specifying ``--pep8 -k pep8`` in ``args``.', ' ', '', ' **plugins** : list, optional', '', ' Plugins to be passed to ``pytest.main`` in the ``plugins`` keyword', ' argument.', ' ', '', " **remote_data** : {'none', 'astropy', 'any'}, optional", '', ' Controls whether to run tests marked with @remote_data. This can be', ' set to run no tests with remote data (``none``), only ones that use', ' data from http://data.astropy.org (``astropy``), or all tests that', ' use remote data (``any``). The default is ``none``.', ' ', '', ' **repeat** : `int`, optional', '', ' If set, specifies how many times each test should be run. This is', ' useful for diagnosing sporadic failures.', ' ', '', ' **skip_docs** : `bool`, optional', '', ' When `True`, skips running the doctests in the .rst files.', ' ', '', ' **test_path** : str, optional', '', ' Specify location to test by path. May be a single file or', ' directory. Must be specified absolutely or relative to the', ' calling directory.', ' ', '', ' **verbose** : bool, optional', '', ' Convenience option to turn on verbose output from py.test. Passing', ' True is the same as specifying ``-v`` in ``args``.', '', '.. seealso::', '', ' ', ' :obj:`pytest.main`', ' This method builds arguments for and then calls this function.']:68: WARNING: py:obj reference target not found: True ['TestRunner.run_tests(**kwargs)', ':module: astropy.tests.runner', '', '', '', 'Run the tests for the package.', '', '', ':Parameters:', '', ' **package** : str, optional', '', " The name of a specific package to test, e.g. 'io.fits' or 'utils'.", ' If nothing is specified all default Astropy tests are run.', ' ', '', ' **args** : str, optional', '', ' Additional arguments to be passed to ``pytest.main`` in the ``args``', ' keyword argument.', ' ', '', ' **docs_path** : str, optional', '', ' The path to the documentation .rst files.', ' ', '', ' **open_files** : bool, optional', '', ' Fail when any tests leave files open. Off by default, because', ' this adds extra run time to the test suite. Requires the', ' ``psutil`` package.', ' ', '', ' **parallel** : int, optional', '', ' When provided, run the tests in parallel on the specified', ' number of CPUs. If parallel is negative, it will use the all', ' the cores on the machine. Requires the ``pytest-xdist`` plugin.', ' ', '', " **pastebin** : ('failed', 'all', None), optional", '', ' Convenience option for turning on py.test pastebin output. Set to', " 'failed' to upload info for failed tests, or 'all' to upload info", ' for all tests.', ' ', '', ' **pdb** : bool, optional', '', ' Turn on PDB post-mortem analysis for failing tests. Same as', ' specifying ``--pdb`` in ``args``.', ' ', '', ' **pep8** : bool, optional', '', ' Turn on PEP8 checking via the pytest-pep8 plugin and disable normal', ' tests. Same as specifying ``--pep8 -k pep8`` in ``args``.', ' ', '', ' **plugins** : list, optional', '', ' Plugins to be passed to ``pytest.main`` in the ``plugins`` keyword', ' argument.', ' ', '', " **remote_data** : {'none', 'astropy', 'any'}, optional", '', ' Controls whether to run tests marked with @remote_data. This can be', ' set to run no tests with remote data (``none``), only ones that use', ' data from http://data.astropy.org (``astropy``), or all tests that', ' use remote data (``any``). The default is ``none``.', ' ', '', ' **repeat** : `int`, optional', '', ' If set, specifies how many times each test should be run. This is', ' useful for diagnosing sporadic failures.', ' ', '', ' **skip_docs** : `bool`, optional', '', ' When `True`, skips running the doctests in the .rst files.', ' ', '', ' **test_path** : str, optional', '', ' Specify location to test by path. May be a single file or', ' directory. Must be specified absolutely or relative to the', ' calling directory.', ' ', '', ' **verbose** : bool, optional', '', ' Convenience option to turn on verbose output from py.test. Passing', ' True is the same as specifying ``-v`` in ``args``.', '', '.. seealso::', '', ' ', ' :obj:`pytest.main`', ' This method builds arguments for and then calls this function.']:83: WARNING: py:obj reference target not found: pytest.main /<>/docs/api/astropy.tests.runner.TestRunner.rst:11: WARNING: py:obj reference target not found: bool /<>/docs/api/astropy.tests.runner.TestRunner.rst:10: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.tests.runner.TestRunnerBase.rst:7: WARNING: py:class reference target not found: object /<>/docs/api/astropy.tests.runner.keyword.rst:7: WARNING: py:class reference target not found: object /<>/docs/api/astropy.tests.runner.keyword.rst:13: WARNING: py:obj reference target not found: object /<>/docs/api/astropy.tests.runner.keyword.rst:15: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.tests.runner.keyword.rst:17: WARNING: py:obj reference target not found: int /<>/docs/api/astropy.time.Time.rst:1: 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/<>/docs/api/astropy.time.Time.rst:9: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.time.Time.rst:9: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.time.Time.rst:15: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.time.Time.rst:5: WARNING: py:meth reference target not found: numpy.ndarray.reshape /<>/docs/api/astropy.time.Time.rst:5: WARNING: py:func reference target not found: numpy.reshape /<>/docs/api/astropy.time.Time.rst:12: WARNING: py:obj reference target not found: str /<>/docs/api/astropy.time.Time.rst:12: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.time.Time.rst:14: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.time.Time.rst:22: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.time.Time.rst:24: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.time.Time.rst:5: WARNING: py:meth reference target not found: numpy.ndarray.sort /<>/docs/api/astropy.time.Time.rst:5: WARNING: py:func reference target not found: numpy.lexsort /<>/docs/api/astropy.time.Time.rst:5: WARNING: py:meth reference target not found: numpy.ndarray.squeeze /<>/docs/api/astropy.time.Time.rst:5: WARNING: py:meth reference target not found: numpy.ndarray.swapaxes /<>/docs/api/astropy.time.Time.rst:5: WARNING: py:meth reference target not found: numpy.ndarray.take /<>/docs/api/astropy.time.Time.rst:3: WARNING: py:obj reference target not found: datetime.datetime /<>/docs/api/astropy.time.Time.rst:10: WARNING: py:obj reference target not found: datetime.tzinfo /<>/docs/api/astropy.time.Time.rst:12: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.time.Time.rst:16: WARNING: py:obj reference target not found: datetime.datetime /<>/docs/api/astropy.time.Time.rst:5: WARNING: py:meth reference target not found: numpy.ndarray.transpose /<>/docs/api/astropy.time.TimeDatetime.rst:3: WARNING: py:obj reference 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/<>/docs/api/astropy.time.TimeDatetime.rst:16: WARNING: py:obj reference target not found: datetime.datetime /<>/docs/api/astropy.time.TimeDelta.rst:1: WARNING: py:obj reference target not found: datetime.datetime /<>/docs/api/astropy.time.TimeDelta.rst:5: WARNING: py:attr reference target not found: numpy.ndarray.T /<>/docs/api/astropy.time.TimeDelta.rst:5: WARNING: py:obj reference target not found: numpy.ndarray.shape /<>/docs/api/astropy.time.TimeDelta.rst:5: WARNING: py:meth reference target not found: numpy.ndarray.argmax /<>/docs/api/astropy.time.TimeDelta.rst:5: WARNING: py:func reference target not found: numpy.argmax /<>/docs/api/astropy.time.TimeDelta.rst:5: WARNING: py:meth reference target not found: numpy.ndarray.argmin /<>/docs/api/astropy.time.TimeDelta.rst:5: WARNING: py:func reference target not found: numpy.argmin /<>/docs/api/astropy.time.TimeDelta.rst:5: WARNING: py:meth reference target not found: numpy.ndarray.argsort /<>/docs/api/astropy.time.TimeDelta.rst:5: WARNING: py:func reference target not found: numpy.lexsort /<>/docs/api/astropy.time.TimeDelta.rst:5: WARNING: py:meth reference target not found: numpy.ndarray.diagonal /<>/docs/api/astropy.time.TimeDelta.rst:5: WARNING: py:meth reference target not found: numpy.ndarray.flatten /<>/docs/api/astropy.time.TimeDelta.rst:9: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.time.TimeDelta.rst:15: WARNING: py:obj reference target not found: False /<>/docs/api/astropy.time.TimeDelta.rst:15: WARNING: py:obj reference target not found: IndexError /<>/docs/api/astropy.time.TimeDelta.rst:5: WARNING: py:meth reference target not found: numpy.ndarray.max /<>/docs/api/astropy.time.TimeDelta.rst:5: WARNING: py:meth reference target not found: numpy.ndarray.min /<>/docs/api/astropy.time.TimeDelta.rst:7: WARNING: py:obj reference target not found: datetime.datetime.utcnow /<>/docs/api/astropy.time.TimeDelta.rst:5: WARNING: py:meth reference target not found: numpy.ndarray.ptp /<>/docs/api/astropy.time.TimeDelta.rst:9: WARNING: py:obj reference target not found: numpy.ptp /<>/docs/api/astropy.time.TimeDelta.rst:5: WARNING: py:meth reference target not found: numpy.ndarray.ravel /<>/docs/api/astropy.time.TimeDelta.rst:5: WARNING: py:meth reference target not found: numpy.ndarray.reshape /<>/docs/api/astropy.time.TimeDelta.rst:5: WARNING: py:func reference target not found: numpy.reshape /<>/docs/api/astropy.time.TimeDelta.rst:12: WARNING: py:obj reference target not found: str /<>/docs/api/astropy.time.TimeDelta.rst:12: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.time.TimeDelta.rst:14: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.time.TimeDelta.rst:22: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.time.TimeDelta.rst:24: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.time.TimeDelta.rst:5: WARNING: py:meth reference target not found: numpy.ndarray.sort /<>/docs/api/astropy.time.TimeDelta.rst:5: WARNING: py:func reference target not found: numpy.lexsort /<>/docs/api/astropy.time.TimeDelta.rst:5: WARNING: py:meth reference target not found: numpy.ndarray.squeeze /<>/docs/api/astropy.time.TimeDelta.rst:5: WARNING: py:meth reference target not found: numpy.ndarray.swapaxes /<>/docs/api/astropy.time.TimeDelta.rst:5: WARNING: py:meth reference target not found: numpy.ndarray.take /<>/docs/api/astropy.time.TimeDelta.rst:3: WARNING: py:obj reference target not found: datetime.datetime /<>/docs/api/astropy.time.TimeDelta.rst:10: WARNING: py:obj reference target not found: datetime.tzinfo /<>/docs/api/astropy.time.TimeDelta.rst:12: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.time.TimeDelta.rst:16: WARNING: py:obj reference target not found: datetime.datetime /<>/docs/api/astropy.time.TimeDelta.rst:5: WARNING: py:meth reference target not found: numpy.ndarray.transpose time/references.txt:4: WARNING: py:class reference target not found: object /<>/docs/api/astropy.time.TimePlotDate.rst:3: WARNING: py:obj reference target not found: matplotlib.pyplot.plot_date /<>/docs/api/astropy.time.TimePlotDate.rst:6: WARNING: py:obj reference target not found: matplotlib.pyplot.plot_date time/references.txt:4: WARNING: py:class reference target not found: datetime.tzinfo /<>/docs/api/astropy.time.TimezoneInfo.rst:3: WARNING: py:obj reference target not found: datetime.tzinfo /<>/docs/api/astropy.time.TimezoneInfo.rst:21: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.units.CompositeUnit.rst:1: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.units.CompositeUnit.rst:9: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.units.DecibelUnit.rst:13: WARNING: py:obj reference target not found: string /<>/docs/api/astropy.units.DecibelUnit.rst:18: WARNING: py:obj reference target not found: string /<>/docs/api/astropy.units.DexUnit.rst:13: WARNING: py:obj reference target not found: string /<>/docs/api/astropy.units.DexUnit.rst:18: WARNING: py:obj reference target not found: string /<>/docs/api/astropy.units.FunctionQuantity.rst:36: WARNING: py:obj reference target not found: numpy.dtype ['FunctionQuantity', ':module: astropy.units', '', 'Bases: :class:`astropy.units.quantity.Quantity`', '', '', '', 'A representation of a (scaled) function of a number with a unit.', '', 'Function quantities are quantities whose units are functions containing a', 'physical unit, such as dB(mW). Most of the arithmetic operations on', 'function quantities are defined in this base class.', '', 'While instantiation is also defined here, this class should not be', 'instantiated directly. Rather, subclasses should be made which have', '``_unit_class`` pointing back to the corresponding function unit class.', '', ':Parameters:', '', ' **value** : number, sequence of convertible items, `~astropy.units.Quantity`, or `~astropy.units.function.FunctionQuantity`', '', ' The numerical value of the function quantity. If a number or', ' a `~astropy.units.Quantity` with a function unit, it will be converted', ' to ``unit`` and the physical unit will be inferred from ``unit``.', ' If a `~astropy.units.Quantity` with just a physical unit, it will', ' converted to the function unit, after, if necessary, converting it to', ' the physical unit inferred from ``unit``.', ' ', '', ' **unit** : string, `~astropy.units.UnitBase` or `~astropy.units.function.FunctionUnitBase` instance, optional', '', ' For an `~astropy.units.function.FunctionUnitBase` instance, the', ' physical unit will be taken from it; for other input, it will be', ' inferred from ``value``. By default, ``unit`` is set by the subclass.', ' ', '', ' **dtype** : `~numpy.dtype`, optional', '', ' The dtype of the resulting Numpy array or scalar that will', ' hold the value. If not provided, it is determined from the input,', ' except that any input that cannot represent float (integer and bool)', ' is converted to float.', ' ', '', ' **copy** : bool, optional', '', ' If `True` (default), then the value is copied. Otherwise, a copy will', ' only be made if ``__array__`` returns a copy, if value is a nested', ' sequence, or if a copy is needed to satisfy an explicitly given', ' ``dtype``. (The `False` option is intended mostly for internal use,', ' to speed up initialization where a copy is known to have been made.', ' Use with care.)', ' ', '', " **order** : {'C', 'F', 'A'}, optional", '', ' Specify the order of the array. As in `~numpy.array`. Ignored', ' if the input does not need to be converted and ``copy=False``.', ' ', '', ' **subok** : bool, optional', '', ' If `False` (default), the returned array will be forced to be of the', ' class used. Otherwise, subclasses will be passed through.', ' ', '', ' **ndmin** : int, optional', '', ' Specifies the minimum number of dimensions that the resulting array', ' should have. Ones will be pre-pended to the shape as needed to meet', ' this requirement. This parameter is ignored if the input is a', ' `~astropy.units.Quantity` and ``copy=False``.', '', ':Raises:', '', ' **TypeError**', '', ' If the value provided is not a Python numeric type.', '', ' **TypeError**', '', ' If the unit provided is not a `~astropy.units.function.FunctionUnitBase`', ' or `~astropy.units.Unit` object, or a parseable string unit.', '', '.. rubric:: Attributes Summary', '', '.. autosummary::', '', ' ~FunctionQuantity.cgs', ' ~FunctionQuantity.physical', ' ~FunctionQuantity.si', '', '.. rubric:: Methods Summary', '', '.. autosummary::', '', ' ~FunctionQuantity.decompose', '', '.. rubric:: Attributes Documentation', '', '.. autoattribute:: cgs', '.. autoattribute:: physical', '.. autoattribute:: si', '', '.. rubric:: Methods Documentation', '', '.. automethod:: decompose']:41: WARNING: py:obj reference target not found: True ['FunctionQuantity', ':module: astropy.units', '', 'Bases: :class:`astropy.units.quantity.Quantity`', '', '', '', 'A representation of a (scaled) function of a number with a unit.', '', 'Function quantities are quantities whose units are functions containing a', 'physical unit, such as dB(mW). Most of the arithmetic operations on', 'function quantities are defined in this base class.', '', 'While instantiation is also defined here, this class should not be', 'instantiated directly. Rather, subclasses should be made which have', '``_unit_class`` pointing back to the corresponding function unit class.', '', ':Parameters:', '', ' **value** : number, sequence of convertible items, `~astropy.units.Quantity`, or `~astropy.units.function.FunctionQuantity`', '', ' The numerical value of the function quantity. If a number or', ' a `~astropy.units.Quantity` with a function unit, it will be converted', ' to ``unit`` and the physical unit will be inferred from ``unit``.', ' If a `~astropy.units.Quantity` with just a physical unit, it will', ' converted to the function unit, after, if necessary, converting it to', ' the physical unit inferred from ``unit``.', ' ', '', ' **unit** : string, `~astropy.units.UnitBase` or `~astropy.units.function.FunctionUnitBase` instance, optional', '', ' For an `~astropy.units.function.FunctionUnitBase` instance, the', ' physical unit will be taken from it; for other input, it will be', ' inferred from ``value``. By default, ``unit`` is set by the subclass.', ' ', '', ' **dtype** : `~numpy.dtype`, optional', '', ' The dtype of the resulting Numpy array or scalar that will', ' hold the value. If not provided, it is determined from the input,', ' except that any input that cannot represent float (integer and bool)', ' is converted to float.', ' ', '', ' **copy** : bool, optional', '', ' If `True` (default), then the value is copied. Otherwise, a copy will', ' only be made if ``__array__`` returns a copy, if value is a nested', ' sequence, or if a copy is needed to satisfy an explicitly given', ' ``dtype``. (The `False` option is intended mostly for internal use,', ' to speed up initialization where a copy is known to have been made.', ' Use with care.)', ' ', '', " **order** : {'C', 'F', 'A'}, optional", '', ' Specify the order of the array. As in `~numpy.array`. Ignored', ' if the input does not need to be converted and ``copy=False``.', ' ', '', ' **subok** : bool, optional', '', ' If `False` (default), the returned array will be forced to be of the', ' class used. Otherwise, subclasses will be passed through.', ' ', '', ' **ndmin** : int, optional', '', ' Specifies the minimum number of dimensions that the resulting array', ' should have. Ones will be pre-pended to the shape as needed to meet', ' this requirement. This parameter is ignored if the input is a', ' `~astropy.units.Quantity` and ``copy=False``.', '', ':Raises:', '', ' **TypeError**', '', ' If the value provided is not a Python numeric type.', '', ' **TypeError**', '', ' If the unit provided is not a `~astropy.units.function.FunctionUnitBase`', ' or `~astropy.units.Unit` object, or a parseable string unit.', '', '.. rubric:: Attributes Summary', '', '.. autosummary::', '', ' ~FunctionQuantity.cgs', ' ~FunctionQuantity.physical', ' ~FunctionQuantity.si', '', '.. rubric:: Methods Summary', '', '.. autosummary::', '', ' ~FunctionQuantity.decompose', '', '.. rubric:: Attributes Documentation', '', '.. autoattribute:: cgs', '.. autoattribute:: physical', '.. autoattribute:: si', '', '.. rubric:: Methods Documentation', '', '.. automethod:: decompose']:41: WARNING: py:obj reference target not found: False ['FunctionQuantity', ':module: astropy.units', '', 'Bases: :class:`astropy.units.quantity.Quantity`', '', '', '', 'A representation of a (scaled) function of a number with a unit.', '', 'Function quantities are quantities whose units are functions containing a', 'physical unit, such as dB(mW). Most of the arithmetic operations on', 'function quantities are defined in this base class.', '', 'While instantiation is also defined here, this class should not be', 'instantiated directly. Rather, subclasses should be made which have', '``_unit_class`` pointing back to the corresponding function unit class.', '', ':Parameters:', '', ' **value** : number, sequence of convertible items, `~astropy.units.Quantity`, or `~astropy.units.function.FunctionQuantity`', '', ' The numerical value of the function quantity. If a number or', ' a `~astropy.units.Quantity` with a function unit, it will be converted', ' to ``unit`` and the physical unit will be inferred from ``unit``.', ' If a `~astropy.units.Quantity` with just a physical unit, it will', ' converted to the function unit, after, if necessary, converting it to', ' the physical unit inferred from ``unit``.', ' ', '', ' **unit** : string, `~astropy.units.UnitBase` or `~astropy.units.function.FunctionUnitBase` instance, optional', '', ' For an `~astropy.units.function.FunctionUnitBase` instance, the', ' physical unit will be taken from it; for other input, it will be', ' inferred from ``value``. By default, ``unit`` is set by the subclass.', ' ', '', ' **dtype** : `~numpy.dtype`, optional', '', ' The dtype of the resulting Numpy array or scalar that will', ' hold the value. If not provided, it is determined from the input,', ' except that any input that cannot represent float (integer and bool)', ' is converted to float.', ' ', '', ' **copy** : bool, optional', '', ' If `True` (default), then the value is copied. Otherwise, a copy will', ' only be made if ``__array__`` returns a copy, if value is a nested', ' sequence, or if a copy is needed to satisfy an explicitly given', ' ``dtype``. (The `False` option is intended mostly for internal use,', ' to speed up initialization where a copy is known to have been made.', ' Use with care.)', ' ', '', " **order** : {'C', 'F', 'A'}, optional", '', ' Specify the order of the array. As in `~numpy.array`. Ignored', ' if the input does not need to be converted and ``copy=False``.', ' ', '', ' **subok** : bool, optional', '', ' If `False` (default), the returned array will be forced to be of the', ' class used. Otherwise, subclasses will be passed through.', ' ', '', ' **ndmin** : int, optional', '', ' Specifies the minimum number of dimensions that the resulting array', ' should have. Ones will be pre-pended to the shape as needed to meet', ' this requirement. This parameter is ignored if the input is a', ' `~astropy.units.Quantity` and ``copy=False``.', '', ':Raises:', '', ' **TypeError**', '', ' If the value provided is not a Python numeric type.', '', ' **TypeError**', '', ' If the unit provided is not a `~astropy.units.function.FunctionUnitBase`', ' or `~astropy.units.Unit` object, or a parseable string unit.', '', '.. rubric:: Attributes Summary', '', '.. autosummary::', '', ' ~FunctionQuantity.cgs', ' ~FunctionQuantity.physical', ' ~FunctionQuantity.si', '', '.. rubric:: Methods Summary', '', '.. autosummary::', '', ' ~FunctionQuantity.decompose', '', '.. rubric:: Attributes Documentation', '', '.. autoattribute:: cgs', '.. autoattribute:: physical', '.. autoattribute:: si', '', '.. rubric:: Methods Documentation', '', '.. automethod:: decompose']:50: WARNING: py:obj reference target not found: numpy.array ['FunctionQuantity', ':module: astropy.units', '', 'Bases: :class:`astropy.units.quantity.Quantity`', '', '', '', 'A representation of a (scaled) function of a number with a unit.', '', 'Function quantities are quantities whose units are functions containing a', 'physical unit, such as dB(mW). Most of the arithmetic operations on', 'function quantities are defined in this base class.', '', 'While instantiation is also defined here, this class should not be', 'instantiated directly. Rather, subclasses should be made which have', '``_unit_class`` pointing back to the corresponding function unit class.', '', ':Parameters:', '', ' **value** : number, sequence of convertible items, `~astropy.units.Quantity`, or `~astropy.units.function.FunctionQuantity`', '', ' The numerical value of the function quantity. If a number or', ' a `~astropy.units.Quantity` with a function unit, it will be converted', ' to ``unit`` and the physical unit will be inferred from ``unit``.', ' If a `~astropy.units.Quantity` with just a physical unit, it will', ' converted to the function unit, after, if necessary, converting it to', ' the physical unit inferred from ``unit``.', ' ', '', ' **unit** : string, `~astropy.units.UnitBase` or `~astropy.units.function.FunctionUnitBase` instance, optional', '', ' For an `~astropy.units.function.FunctionUnitBase` instance, the', ' physical unit will be taken from it; for other input, it will be', ' inferred from ``value``. By default, ``unit`` is set by the subclass.', ' ', '', ' **dtype** : `~numpy.dtype`, optional', '', ' The dtype of the resulting Numpy array or scalar that will', ' hold the value. If not provided, it is determined from the input,', ' except that any input that cannot represent float (integer and bool)', ' is converted to float.', ' ', '', ' **copy** : bool, optional', '', ' If `True` (default), then the value is copied. Otherwise, a copy will', ' only be made if ``__array__`` returns a copy, if value is a nested', ' sequence, or if a copy is needed to satisfy an explicitly given', ' ``dtype``. (The `False` option is intended mostly for internal use,', ' to speed up initialization where a copy is known to have been made.', ' Use with care.)', ' ', '', " **order** : {'C', 'F', 'A'}, optional", '', ' Specify the order of the array. As in `~numpy.array`. Ignored', ' if the input does not need to be converted and ``copy=False``.', ' ', '', ' **subok** : bool, optional', '', ' If `False` (default), the returned array will be forced to be of the', ' class used. Otherwise, subclasses will be passed through.', ' ', '', ' **ndmin** : int, optional', '', ' Specifies the minimum number of dimensions that the resulting array', ' should have. Ones will be pre-pended to the shape as needed to meet', ' this requirement. This parameter is ignored if the input is a', ' `~astropy.units.Quantity` and ``copy=False``.', '', ':Raises:', '', ' **TypeError**', '', ' If the value provided is not a Python numeric type.', '', ' **TypeError**', '', ' If the unit provided is not a `~astropy.units.function.FunctionUnitBase`', ' or `~astropy.units.Unit` object, or a parseable string unit.', '', '.. rubric:: Attributes Summary', '', '.. autosummary::', '', ' ~FunctionQuantity.cgs', ' ~FunctionQuantity.physical', ' ~FunctionQuantity.si', '', '.. rubric:: Methods Summary', '', '.. autosummary::', '', ' ~FunctionQuantity.decompose', '', '.. rubric:: Attributes Documentation', '', '.. autoattribute:: cgs', '.. autoattribute:: physical', '.. autoattribute:: si', '', '.. rubric:: Methods Documentation', '', '.. automethod:: decompose']:55: WARNING: py:obj reference target not found: False /<>/docs/api/astropy.units.FunctionUnitBase.rst:7: WARNING: py:class reference target not found: object /<>/docs/api/astropy.units.FunctionUnitBase.rst:22: WARNING: py:obj reference target not found: string /<>/docs/api/astropy.units.FunctionUnitBase.rst:27: WARNING: py:obj reference target not found: string /<>/docs/api/astropy.units.FunctionUnitBase.rst:1: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.units.FunctionUnitBase.rst:9: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.units.FunctionUnitBase.rst:20: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.units.LogQuantity.rst:28: WARNING: py:obj reference target not found: numpy.dtype /<>/docs/api/astropy.units.LogQuantity.rst:36: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.units.LogQuantity.rst:36: WARNING: py:obj reference target not found: False /<>/docs/api/astropy.units.LogQuantity.rst:11: WARNING: py:obj reference target not found: numpy.ptp /<>/docs/api/astropy.units.LogQuantity.rst:15: WARNING: py:obj reference target not found: numpy.ptp /<>/docs/api/astropy.units.LogQuantity.rst:11: WARNING: py:obj reference target not found: numpy.std /<>/docs/api/astropy.units.LogQuantity.rst:15: WARNING: py:obj reference target not found: numpy.std /<>/docs/api/astropy.units.LogQuantity.rst:11: WARNING: py:obj reference target not found: numpy.var /<>/docs/api/astropy.units.LogQuantity.rst:15: WARNING: py:obj reference target not found: numpy.var /<>/docs/api/astropy.units.LogUnit.rst:16: WARNING: py:obj reference target not found: string /<>/docs/api/astropy.units.LogUnit.rst:21: WARNING: py:obj reference target not found: string /<>/docs/api/astropy.units.MagUnit.rst:13: WARNING: py:obj reference target not found: string /<>/docs/api/astropy.units.MagUnit.rst:18: WARNING: py:obj reference target not found: string /<>/docs/api/astropy.units.Quantity.rst:7: WARNING: py:class reference target not found: numpy.ndarray /<>/docs/api/astropy.units.Quantity.rst:13: WARNING: py:obj reference target not found: numpy.ndarray /<>/docs/api/astropy.units.Quantity.rst:36: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.units.Quantity.rst:36: WARNING: py:obj reference target not found: False /<>/docs/api/astropy.units.Quantity.rst:45: WARNING: py:obj reference target not found: numpy.array /<>/docs/api/astropy.units.Quantity.rst:50: WARNING: py:obj reference target not found: False /<>/docs/api/astropy.units.Quantity.rst:11: WARNING: py:obj reference target not found: numpy.flatiter /<>/docs/api/astropy.units.Quantity.rst:11: WARNING: py:obj reference target not found: numpy.ndarray.flat /<>/docs/api/astropy.units.Quantity.rst:13: WARNING: py:obj reference target not found: numpy.isscalar /<>/docs/api/astropy.units.Quantity.rst:13: WARNING: py:obj reference target not found: numpy.isscalar /<>/docs/api/astropy.units.Quantity.rst:11: WARNING: py:obj reference target not found: numpy.all /<>/docs/api/astropy.units.Quantity.rst:15: WARNING: py:obj reference target not found: numpy.all /<>/docs/api/astropy.units.Quantity.rst:11: WARNING: py:obj reference target not found: numpy.any /<>/docs/api/astropy.units.Quantity.rst:15: WARNING: py:obj reference target not found: numpy.any /<>/docs/api/astropy.units.Quantity.rst:11: WARNING: py:obj reference target not found: numpy.argmax /<>/docs/api/astropy.units.Quantity.rst:15: WARNING: py:obj reference target not found: numpy.argmax /<>/docs/api/astropy.units.Quantity.rst:11: WARNING: py:obj reference target not found: numpy.argmin /<>/docs/api/astropy.units.Quantity.rst:15: WARNING: py:obj reference target not found: numpy.argmin /<>/docs/api/astropy.units.Quantity.rst:11: WARNING: py:obj reference target not found: numpy.argsort /<>/docs/api/astropy.units.Quantity.rst:15: WARNING: py:obj reference target not found: numpy.argsort /<>/docs/api/astropy.units.Quantity.rst:11: WARNING: py:obj reference target not found: numpy.choose /<>/docs/api/astropy.units.Quantity.rst:15: WARNING: py:obj reference target not found: numpy.choose /<>/docs/api/astropy.units.Quantity.rst:12: WARNING: py:obj reference target not found: numpy.clip /<>/docs/api/astropy.units.Quantity.rst:16: WARNING: py:obj reference target not found: numpy.clip /<>/docs/api/astropy.units.Quantity.rst:11: WARNING: py:obj reference target not found: numpy.cumprod /<>/docs/api/astropy.units.Quantity.rst:15: WARNING: py:obj reference target not found: numpy.cumprod /<>/docs/api/astropy.units.Quantity.rst:11: WARNING: py:obj reference target not found: numpy.cumsum /<>/docs/api/astropy.units.Quantity.rst:15: WARNING: py:obj reference target not found: numpy.cumsum /<>/docs/api/astropy.units.Quantity.rst:11: WARNING: py:obj reference target not found: numpy.dot /<>/docs/api/astropy.units.Quantity.rst:15: WARNING: py:obj reference target not found: numpy.dot /<>/docs/api/astropy.units.Quantity.rst:12: WARNING: py:obj reference target not found: numpy.insert /<>/docs/api/astropy.units.Quantity.rst:11: WARNING: py:obj reference target not 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found: None /<>/docs/api/astropy.units.Quantity.rst:15: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.units.Quantity.rst:20: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.units.Quantity.rst:29: WARNING: py:obj reference target not found: numpy.ndarray /<>/docs/api/astropy.units.Quantity.rst:11: WARNING: py:obj reference target not found: numpy.trace /<>/docs/api/astropy.units.Quantity.rst:15: WARNING: py:obj reference target not found: numpy.trace /<>/docs/api/astropy.units.Quantity.rst:11: WARNING: py:obj reference target not found: numpy.var /<>/docs/api/astropy.units.Quantity.rst:15: WARNING: py:obj reference target not found: numpy.var ['Unit(st, represents=None, doc=None, format=None, namespace=None)', ':module: astropy.units', '', 'Bases: :class:`astropy.units.core.NamedUnit`', '', '', '', 'The main unit class.', '', 'There are a number of different ways to construct a Unit, but', 'always returns a `UnitBase` instance. If the arguments refer to', 'an already-existing unit, that existing unit instance is returned,', 'rather than a new one.', '', '- From a string::', '', " Unit(s, format=None, parse_strict='silent')", '', ' Construct from a string representing a (possibly compound) unit.', '', ' The optional `format` keyword argument specifies the format the', ' string is in, by default ``"generic"``. For a description of', ' the available formats, see `astropy.units.format`.', '', ' The optional ``parse_strict`` keyword controls what happens when an', ' unrecognized unit string is passed in. It may be one of the following:', '', " - ``'raise'``: (default) raise a ValueError exception.", '', " - ``'warn'``: emit a Warning, and return an", ' `UnrecognizedUnit` instance.', '', " - ``'silent'``: return an `UnrecognizedUnit` instance.", '', '- From a number::', '', ' Unit(number)', '', ' Creates a dimensionless unit.', '', '- From a `UnitBase` instance::', '', ' Unit(unit)', '', ' Returns the given unit unchanged.', '', '- From `None`::', '', ' Unit()', '', ' Returns the null unit.', '', '- The last form, which creates a new `Unit` is described in detail', ' below.', '', ':Parameters:', '', ' **st** : str or list of str', '', ' The name of the unit. If a list, the first element is the', ' canonical (short) name, and the rest of the elements are', ' aliases.', ' ', '', ' **represents** : UnitBase instance', '', ' The unit that this named unit represents.', ' ', '', ' **doc** : str, optional', '', ' A docstring describing the unit.', ' ', '', ' **format** : dict, optional', '', ' A mapping to format-specific representations of this unit.', ' For example, for the ``Ohm`` unit, it might be nice to have it', ' displayed as ``\\Omega`` by the ``latex`` formatter. In that', ' case, `format` argument should be set to::', ' ', " {'latex': r'\\Omega'}", ' ', '', ' **namespace** : dictionary, optional', '', ' When provided, inject the unit (and all of its aliases) into', ' the given namespace.', '', ':Raises:', '', ' **ValueError**', '', ' If any of the given unit names are already in the registry.', ' ', '', ' **ValueError**', '', ' If any of the given unit names are not valid Python tokens.', '', '.. rubric:: Attributes Summary', '', '.. autosummary::', '', ' ~Unit.represents', '', '.. rubric:: Methods Summary', '', '.. autosummary::', '', ' ~Unit.decompose', ' ~Unit.is_unity', '', '.. rubric:: Attributes Documentation', '', '.. autoattribute:: represents', '', '.. rubric:: Methods Documentation', '', '.. automethod:: decompose', '.. automethod:: is_unity']:44: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.units.Unit.rst:1: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.units.Unit.rst:9: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.units.UnitBase.rst:7: WARNING: py:class reference target not found: object /<>/docs/api/astropy.units.UnitBase.rst:1: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.units.UnitBase.rst:1: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.units.UnitBase.rst:17: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.units.UnitBase.rst:36: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.units.UnitBase.rst:36: WARNING: py:obj reference target not found: False /<>/docs/api/astropy.units.UnitBase.rst:28: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.units.UnitBase.rst:28: WARNING: py:obj reference target not found: False /<>/docs/api/astropy.units.UnitBase.rst:35: WARNING: py:obj reference target not found: list /<>/docs/api/astropy.units.UnitBase.rst:9: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.units.UnitBase.rst:20: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.units.UnitBase.rst:9: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.units.UnitBase.rst:24: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.units.UnrecognizedUnit.rst:1: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.units.UnrecognizedUnit.rst:1: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.units.UnrecognizedUnit.rst:9: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.units.UnrecognizedUnit.rst:20: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.units.UnrecognizedUnit.rst:9: WARNING: py:obj reference target not found: True ['def_unit(s, represents=None, doc=None, format=None, prefixes=False, exclude_prefixes=[], namespace=None)', ':module: astropy.units', '', '', '', 'Factory function for defining new units.', '', '', ':Parameters:', '', ' **s** : str or list of str', '', ' The name of the unit. If a list, the first element is the', ' canonical (short) name, and the rest of the elements are', ' aliases.', ' ', '', ' **represents** : UnitBase instance, optional', '', ' The unit that this named unit represents. If not provided,', ' a new `IrreducibleUnit` is created.', ' ', '', ' **doc** : str, optional', '', ' A docstring describing the unit.', ' ', '', ' **format** : dict, optional', '', ' A mapping to format-specific representations of this unit.', ' For example, for the ``Ohm`` unit, it might be nice to', ' have it displayed as ``\\Omega`` by the ``latex``', ' formatter. In that case, `format` argument should be set', ' to::', ' ', " {'latex': r'\\Omega'}", ' ', '', ' **prefixes** : bool or list, optional', '', ' When `True`, generate all of the SI prefixed versions of the', ' unit as well. For example, for a given unit ``m``, will', ' generate ``mm``, ``cm``, ``km``, etc. When a list, it is a list of', ' prefix definitions of the form:', ' ', ' (short_names, long_tables, factor)', ' ', ' Default is `False`. This function always returns the base', ' unit object, even if multiple scaled versions of the unit were', ' created.', ' ', '', ' **exclude_prefixes** : list of str, optional', '', ' If any of the SI prefixes need to be excluded, they may be', ' listed here. For example, ``Pa`` can be interpreted either as', ' "petaannum" or "Pascal". Therefore, when defining the', ' prefixes for ``a``, ``exclude_prefixes`` should be set to', ' ``["P"]``.', ' ', '', ' **namespace** : dict, optional', '', ' When provided, inject the unit (and all of its aliases and', ' prefixes), into the given namespace dictionary.', '', ':Returns:', '', ' **unit** : `UnitBase` object', '', ' The newly-defined unit, or a matching unit that was already', ' defined.']:34: WARNING: py:obj reference target not found: True ['def_unit(s, represents=None, doc=None, format=None, prefixes=False, exclude_prefixes=[], namespace=None)', ':module: astropy.units', '', '', '', 'Factory function for defining new units.', '', '', ':Parameters:', '', ' **s** : str or list of str', '', ' The name of the unit. If a list, the first element is the', ' canonical (short) name, and the rest of the elements are', ' aliases.', ' ', '', ' **represents** : UnitBase instance, optional', '', ' The unit that this named unit represents. If not provided,', ' a new `IrreducibleUnit` is created.', ' ', '', ' **doc** : str, optional', '', ' A docstring describing the unit.', ' ', '', ' **format** : dict, optional', '', ' A mapping to format-specific representations of this unit.', ' For example, for the ``Ohm`` unit, it might be nice to', ' have it displayed as ``\\Omega`` by the ``latex``', ' formatter. In that case, `format` argument should be set', ' to::', ' ', " {'latex': r'\\Omega'}", ' ', '', ' **prefixes** : bool or list, optional', '', ' When `True`, generate all of the SI prefixed versions of the', ' unit as well. For example, for a given unit ``m``, will', ' generate ``mm``, ``cm``, ``km``, etc. When a list, it is a list of', ' prefix definitions of the form:', ' ', ' (short_names, long_tables, factor)', ' ', ' Default is `False`. This function always returns the base', ' unit object, even if multiple scaled versions of the unit were', ' created.', ' ', '', ' **exclude_prefixes** : list of str, optional', '', ' If any of the SI prefixes need to be excluded, they may be', ' listed here. For example, ``Pa`` can be interpreted either as', ' "petaannum" or "Pascal". Therefore, when defining the', ' prefixes for ``a``, ``exclude_prefixes`` should be set to', ' ``["P"]``.', ' ', '', ' **namespace** : dict, optional', '', ' When provided, inject the unit (and all of its aliases and', ' prefixes), into the given namespace dictionary.', '', ':Returns:', '', ' **unit** : `UnitBase` object', '', ' The newly-defined unit, or a matching unit that was already', ' defined.']:41: WARNING: py:obj reference target not found: False /<>/docs/api/astropy.units.format.Base.rst:7: WARNING: py:class reference target not found: object /<>/docs/api/astropy.units.function.DecibelUnit.rst:13: WARNING: py:obj reference target not found: string /<>/docs/api/astropy.units.function.DecibelUnit.rst:18: WARNING: py:obj reference target not found: string /<>/docs/api/astropy.units.function.DexUnit.rst:13: WARNING: py:obj reference target not found: string /<>/docs/api/astropy.units.function.DexUnit.rst:18: WARNING: py:obj reference target not found: string /<>/docs/api/astropy.units.function.FunctionQuantity.rst:36: WARNING: py:obj reference target not found: numpy.dtype ['FunctionQuantity', ':module: astropy.units.function', '', 'Bases: :class:`astropy.units.quantity.Quantity`', '', '', '', 'A representation of a (scaled) function of a number with a unit.', '', 'Function quantities are quantities whose units are functions containing a', 'physical unit, such as dB(mW). Most of the arithmetic operations on', 'function quantities are defined in this base class.', '', 'While instantiation is also defined here, this class should not be', 'instantiated directly. Rather, subclasses should be made which have', '``_unit_class`` pointing back to the corresponding function unit class.', '', ':Parameters:', '', ' **value** : number, sequence of convertible items, `~astropy.units.Quantity`, or `~astropy.units.function.FunctionQuantity`', '', ' The numerical value of the function quantity. If a number or', ' a `~astropy.units.Quantity` with a function unit, it will be converted', ' to ``unit`` and the physical unit will be inferred from ``unit``.', ' If a `~astropy.units.Quantity` with just a physical unit, it will', ' converted to the function unit, after, if necessary, converting it to', ' the physical unit inferred from ``unit``.', ' ', '', ' **unit** : string, `~astropy.units.UnitBase` or `~astropy.units.function.FunctionUnitBase` instance, optional', '', ' For an `~astropy.units.function.FunctionUnitBase` instance, the', ' physical unit will be taken from it; for other input, it will be', ' inferred from ``value``. By default, ``unit`` is set by the subclass.', ' ', '', ' **dtype** : `~numpy.dtype`, optional', '', ' The dtype of the resulting Numpy array or scalar that will', ' hold the value. If not provided, it is determined from the input,', ' except that any input that cannot represent float (integer and bool)', ' is converted to float.', ' ', '', ' **copy** : bool, optional', '', ' If `True` (default), then the value is copied. Otherwise, a copy will', ' only be made if ``__array__`` returns a copy, if value is a nested', ' sequence, or if a copy is needed to satisfy an explicitly given', ' ``dtype``. (The `False` option is intended mostly for internal use,', ' to speed up initialization where a copy is known to have been made.', ' Use with care.)', ' ', '', " **order** : {'C', 'F', 'A'}, optional", '', ' Specify the order of the array. As in `~numpy.array`. Ignored', ' if the input does not need to be converted and ``copy=False``.', ' ', '', ' **subok** : bool, optional', '', ' If `False` (default), the returned array will be forced to be of the', ' class used. Otherwise, subclasses will be passed through.', ' ', '', ' **ndmin** : int, optional', '', ' Specifies the minimum number of dimensions that the resulting array', ' should have. Ones will be pre-pended to the shape as needed to meet', ' this requirement. This parameter is ignored if the input is a', ' `~astropy.units.Quantity` and ``copy=False``.', '', ':Raises:', '', ' **TypeError**', '', ' If the value provided is not a Python numeric type.', '', ' **TypeError**', '', ' If the unit provided is not a `~astropy.units.function.FunctionUnitBase`', ' or `~astropy.units.Unit` object, or a parseable string unit.', '', '.. rubric:: Attributes Summary', '', '.. autosummary::', '', ' ~FunctionQuantity.cgs', ' ~FunctionQuantity.physical', ' ~FunctionQuantity.si', '', '.. rubric:: Methods Summary', '', '.. autosummary::', '', ' ~FunctionQuantity.decompose', '', '.. rubric:: Attributes Documentation', '', '.. autoattribute:: cgs', '.. autoattribute:: physical', '.. autoattribute:: si', '', '.. rubric:: Methods Documentation', '', '.. automethod:: decompose']:41: WARNING: py:obj reference target not found: True ['FunctionQuantity', ':module: astropy.units.function', '', 'Bases: :class:`astropy.units.quantity.Quantity`', '', '', '', 'A representation of a (scaled) function of a number with a unit.', '', 'Function quantities are quantities whose units are functions containing a', 'physical unit, such as dB(mW). Most of the arithmetic operations on', 'function quantities are defined in this base class.', '', 'While instantiation is also defined here, this class should not be', 'instantiated directly. Rather, subclasses should be made which have', '``_unit_class`` pointing back to the corresponding function unit class.', '', ':Parameters:', '', ' **value** : number, sequence of convertible items, `~astropy.units.Quantity`, or `~astropy.units.function.FunctionQuantity`', '', ' The numerical value of the function quantity. If a number or', ' a `~astropy.units.Quantity` with a function unit, it will be converted', ' to ``unit`` and the physical unit will be inferred from ``unit``.', ' If a `~astropy.units.Quantity` with just a physical unit, it will', ' converted to the function unit, after, if necessary, converting it to', ' the physical unit inferred from ``unit``.', ' ', '', ' **unit** : string, `~astropy.units.UnitBase` or `~astropy.units.function.FunctionUnitBase` instance, optional', '', ' For an `~astropy.units.function.FunctionUnitBase` instance, the', ' physical unit will be taken from it; for other input, it will be', ' inferred from ``value``. By default, ``unit`` is set by the subclass.', ' ', '', ' **dtype** : `~numpy.dtype`, optional', '', ' The dtype of the resulting Numpy array or scalar that will', ' hold the value. If not provided, it is determined from the input,', ' except that any input that cannot represent float (integer and bool)', ' is converted to float.', ' ', '', ' **copy** : bool, optional', '', ' If `True` (default), then the value is copied. Otherwise, a copy will', ' only be made if ``__array__`` returns a copy, if value is a nested', ' sequence, or if a copy is needed to satisfy an explicitly given', ' ``dtype``. (The `False` option is intended mostly for internal use,', ' to speed up initialization where a copy is known to have been made.', ' Use with care.)', ' ', '', " **order** : {'C', 'F', 'A'}, optional", '', ' Specify the order of the array. As in `~numpy.array`. Ignored', ' if the input does not need to be converted and ``copy=False``.', ' ', '', ' **subok** : bool, optional', '', ' If `False` (default), the returned array will be forced to be of the', ' class used. Otherwise, subclasses will be passed through.', ' ', '', ' **ndmin** : int, optional', '', ' Specifies the minimum number of dimensions that the resulting array', ' should have. Ones will be pre-pended to the shape as needed to meet', ' this requirement. This parameter is ignored if the input is a', ' `~astropy.units.Quantity` and ``copy=False``.', '', ':Raises:', '', ' **TypeError**', '', ' If the value provided is not a Python numeric type.', '', ' **TypeError**', '', ' If the unit provided is not a `~astropy.units.function.FunctionUnitBase`', ' or `~astropy.units.Unit` object, or a parseable string unit.', '', '.. rubric:: Attributes Summary', '', '.. autosummary::', '', ' ~FunctionQuantity.cgs', ' ~FunctionQuantity.physical', ' ~FunctionQuantity.si', '', '.. rubric:: Methods Summary', '', '.. autosummary::', '', ' ~FunctionQuantity.decompose', '', '.. rubric:: Attributes Documentation', '', '.. autoattribute:: cgs', '.. autoattribute:: physical', '.. autoattribute:: si', '', '.. rubric:: Methods Documentation', '', '.. automethod:: decompose']:41: WARNING: py:obj reference target not found: False ['FunctionQuantity', ':module: astropy.units.function', '', 'Bases: :class:`astropy.units.quantity.Quantity`', '', '', '', 'A representation of a (scaled) function of a number with a unit.', '', 'Function quantities are quantities whose units are functions containing a', 'physical unit, such as dB(mW). Most of the arithmetic operations on', 'function quantities are defined in this base class.', '', 'While instantiation is also defined here, this class should not be', 'instantiated directly. Rather, subclasses should be made which have', '``_unit_class`` pointing back to the corresponding function unit class.', '', ':Parameters:', '', ' **value** : number, sequence of convertible items, `~astropy.units.Quantity`, or `~astropy.units.function.FunctionQuantity`', '', ' The numerical value of the function quantity. If a number or', ' a `~astropy.units.Quantity` with a function unit, it will be converted', ' to ``unit`` and the physical unit will be inferred from ``unit``.', ' If a `~astropy.units.Quantity` with just a physical unit, it will', ' converted to the function unit, after, if necessary, converting it to', ' the physical unit inferred from ``unit``.', ' ', '', ' **unit** : string, `~astropy.units.UnitBase` or `~astropy.units.function.FunctionUnitBase` instance, optional', '', ' For an `~astropy.units.function.FunctionUnitBase` instance, the', ' physical unit will be taken from it; for other input, it will be', ' inferred from ``value``. By default, ``unit`` is set by the subclass.', ' ', '', ' **dtype** : `~numpy.dtype`, optional', '', ' The dtype of the resulting Numpy array or scalar that will', ' hold the value. If not provided, it is determined from the input,', ' except that any input that cannot represent float (integer and bool)', ' is converted to float.', ' ', '', ' **copy** : bool, optional', '', ' If `True` (default), then the value is copied. Otherwise, a copy will', ' only be made if ``__array__`` returns a copy, if value is a nested', ' sequence, or if a copy is needed to satisfy an explicitly given', ' ``dtype``. (The `False` option is intended mostly for internal use,', ' to speed up initialization where a copy is known to have been made.', ' Use with care.)', ' ', '', " **order** : {'C', 'F', 'A'}, optional", '', ' Specify the order of the array. As in `~numpy.array`. Ignored', ' if the input does not need to be converted and ``copy=False``.', ' ', '', ' **subok** : bool, optional', '', ' If `False` (default), the returned array will be forced to be of the', ' class used. Otherwise, subclasses will be passed through.', ' ', '', ' **ndmin** : int, optional', '', ' Specifies the minimum number of dimensions that the resulting array', ' should have. Ones will be pre-pended to the shape as needed to meet', ' this requirement. This parameter is ignored if the input is a', ' `~astropy.units.Quantity` and ``copy=False``.', '', ':Raises:', '', ' **TypeError**', '', ' If the value provided is not a Python numeric type.', '', ' **TypeError**', '', ' If the unit provided is not a `~astropy.units.function.FunctionUnitBase`', ' or `~astropy.units.Unit` object, or a parseable string unit.', '', '.. rubric:: Attributes Summary', '', '.. autosummary::', '', ' ~FunctionQuantity.cgs', ' ~FunctionQuantity.physical', ' ~FunctionQuantity.si', '', '.. rubric:: Methods Summary', '', '.. autosummary::', '', ' ~FunctionQuantity.decompose', '', '.. rubric:: Attributes Documentation', '', '.. autoattribute:: cgs', '.. autoattribute:: physical', '.. autoattribute:: si', '', '.. rubric:: Methods Documentation', '', '.. automethod:: decompose']:50: WARNING: py:obj reference target not found: numpy.array ['FunctionQuantity', ':module: astropy.units.function', '', 'Bases: :class:`astropy.units.quantity.Quantity`', '', '', '', 'A representation of a (scaled) function of a number with a unit.', '', 'Function quantities are quantities whose units are functions containing a', 'physical unit, such as dB(mW). Most of the arithmetic operations on', 'function quantities are defined in this base class.', '', 'While instantiation is also defined here, this class should not be', 'instantiated directly. Rather, subclasses should be made which have', '``_unit_class`` pointing back to the corresponding function unit class.', '', ':Parameters:', '', ' **value** : number, sequence of convertible items, `~astropy.units.Quantity`, or `~astropy.units.function.FunctionQuantity`', '', ' The numerical value of the function quantity. If a number or', ' a `~astropy.units.Quantity` with a function unit, it will be converted', ' to ``unit`` and the physical unit will be inferred from ``unit``.', ' If a `~astropy.units.Quantity` with just a physical unit, it will', ' converted to the function unit, after, if necessary, converting it to', ' the physical unit inferred from ``unit``.', ' ', '', ' **unit** : string, `~astropy.units.UnitBase` or `~astropy.units.function.FunctionUnitBase` instance, optional', '', ' For an `~astropy.units.function.FunctionUnitBase` instance, the', ' physical unit will be taken from it; for other input, it will be', ' inferred from ``value``. By default, ``unit`` is set by the subclass.', ' ', '', ' **dtype** : `~numpy.dtype`, optional', '', ' The dtype of the resulting Numpy array or scalar that will', ' hold the value. If not provided, it is determined from the input,', ' except that any input that cannot represent float (integer and bool)', ' is converted to float.', ' ', '', ' **copy** : bool, optional', '', ' If `True` (default), then the value is copied. Otherwise, a copy will', ' only be made if ``__array__`` returns a copy, if value is a nested', ' sequence, or if a copy is needed to satisfy an explicitly given', ' ``dtype``. (The `False` option is intended mostly for internal use,', ' to speed up initialization where a copy is known to have been made.', ' Use with care.)', ' ', '', " **order** : {'C', 'F', 'A'}, optional", '', ' Specify the order of the array. As in `~numpy.array`. Ignored', ' if the input does not need to be converted and ``copy=False``.', ' ', '', ' **subok** : bool, optional', '', ' If `False` (default), the returned array will be forced to be of the', ' class used. Otherwise, subclasses will be passed through.', ' ', '', ' **ndmin** : int, optional', '', ' Specifies the minimum number of dimensions that the resulting array', ' should have. Ones will be pre-pended to the shape as needed to meet', ' this requirement. This parameter is ignored if the input is a', ' `~astropy.units.Quantity` and ``copy=False``.', '', ':Raises:', '', ' **TypeError**', '', ' If the value provided is not a Python numeric type.', '', ' **TypeError**', '', ' If the unit provided is not a `~astropy.units.function.FunctionUnitBase`', ' or `~astropy.units.Unit` object, or a parseable string unit.', '', '.. rubric:: Attributes Summary', '', '.. autosummary::', '', ' ~FunctionQuantity.cgs', ' ~FunctionQuantity.physical', ' ~FunctionQuantity.si', '', '.. rubric:: Methods Summary', '', '.. autosummary::', '', ' ~FunctionQuantity.decompose', '', '.. rubric:: Attributes Documentation', '', '.. autoattribute:: cgs', '.. autoattribute:: physical', '.. autoattribute:: si', '', '.. rubric:: Methods Documentation', '', '.. automethod:: decompose']:55: WARNING: py:obj reference target not found: False /<>/docs/api/astropy.units.function.FunctionUnitBase.rst:7: WARNING: py:class reference target not found: object /<>/docs/api/astropy.units.function.FunctionUnitBase.rst:22: WARNING: py:obj reference target not found: string /<>/docs/api/astropy.units.function.FunctionUnitBase.rst:27: WARNING: py:obj reference target not found: string /<>/docs/api/astropy.units.function.FunctionUnitBase.rst:1: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.units.function.FunctionUnitBase.rst:9: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.units.function.FunctionUnitBase.rst:20: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.units.function.LogQuantity.rst:28: WARNING: py:obj reference target not found: numpy.dtype /<>/docs/api/astropy.units.function.LogQuantity.rst:36: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.units.function.LogQuantity.rst:36: WARNING: py:obj reference target not found: False /<>/docs/api/astropy.units.function.LogQuantity.rst:11: WARNING: py:obj reference target not found: numpy.ptp /<>/docs/api/astropy.units.function.LogQuantity.rst:15: WARNING: py:obj reference target not found: numpy.ptp /<>/docs/api/astropy.units.function.LogQuantity.rst:11: WARNING: py:obj reference target not found: numpy.std /<>/docs/api/astropy.units.function.LogQuantity.rst:15: WARNING: py:obj reference target not found: numpy.std /<>/docs/api/astropy.units.function.LogQuantity.rst:11: WARNING: py:obj reference target not found: numpy.var /<>/docs/api/astropy.units.function.LogQuantity.rst:15: WARNING: py:obj reference target not found: numpy.var /<>/docs/api/astropy.units.function.LogUnit.rst:16: WARNING: py:obj reference target not found: string /<>/docs/api/astropy.units.function.LogUnit.rst:21: WARNING: py:obj reference target not found: string /<>/docs/api/astropy.units.function.MagUnit.rst:13: WARNING: py:obj reference target not found: string /<>/docs/api/astropy.units.function.MagUnit.rst:18: WARNING: py:obj reference target not found: string /<>/docs/api/astropy.units.quantity.Quantity.rst:7: WARNING: py:class reference target not found: numpy.ndarray /<>/docs/api/astropy.units.quantity.Quantity.rst:13: WARNING: py:obj reference target not found: numpy.ndarray /<>/docs/api/astropy.units.quantity.Quantity.rst:36: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.units.quantity.Quantity.rst:36: WARNING: py:obj reference target not found: False /<>/docs/api/astropy.units.quantity.Quantity.rst:45: WARNING: py:obj reference target not found: numpy.array /<>/docs/api/astropy.units.quantity.Quantity.rst:50: WARNING: py:obj reference target not found: False /<>/docs/api/astropy.units.quantity.Quantity.rst:11: WARNING: py:obj reference target not found: numpy.flatiter /<>/docs/api/astropy.units.quantity.Quantity.rst:11: WARNING: py:obj reference target not found: numpy.ndarray.flat /<>/docs/api/astropy.units.quantity.Quantity.rst:13: WARNING: py:obj reference target not found: numpy.isscalar /<>/docs/api/astropy.units.quantity.Quantity.rst:13: WARNING: py:obj reference target not found: numpy.isscalar /<>/docs/api/astropy.units.quantity.Quantity.rst:11: WARNING: py:obj reference target not found: numpy.all /<>/docs/api/astropy.units.quantity.Quantity.rst:15: WARNING: py:obj reference target not found: numpy.all /<>/docs/api/astropy.units.quantity.Quantity.rst:11: WARNING: py:obj reference target not found: numpy.any /<>/docs/api/astropy.units.quantity.Quantity.rst:15: WARNING: py:obj reference target not found: numpy.any /<>/docs/api/astropy.units.quantity.Quantity.rst:11: WARNING: py:obj reference target not found: numpy.argmax /<>/docs/api/astropy.units.quantity.Quantity.rst:15: WARNING: py:obj reference target not found: numpy.argmax /<>/docs/api/astropy.units.quantity.Quantity.rst:11: WARNING: py:obj reference target not found: numpy.argmin /<>/docs/api/astropy.units.quantity.Quantity.rst:15: WARNING: py:obj reference target not found: numpy.argmin /<>/docs/api/astropy.units.quantity.Quantity.rst:11: WARNING: py:obj reference target not found: numpy.argsort /<>/docs/api/astropy.units.quantity.Quantity.rst:15: WARNING: py:obj reference target not found: numpy.argsort /<>/docs/api/astropy.units.quantity.Quantity.rst:11: WARNING: py:obj reference target not found: numpy.choose /<>/docs/api/astropy.units.quantity.Quantity.rst:15: WARNING: py:obj reference target not found: numpy.choose /<>/docs/api/astropy.units.quantity.Quantity.rst:12: WARNING: py:obj reference target not found: numpy.clip /<>/docs/api/astropy.units.quantity.Quantity.rst:16: WARNING: py:obj reference target not found: numpy.clip /<>/docs/api/astropy.units.quantity.Quantity.rst:11: WARNING: py:obj reference target not found: numpy.cumprod /<>/docs/api/astropy.units.quantity.Quantity.rst:15: WARNING: py:obj reference target not found: numpy.cumprod /<>/docs/api/astropy.units.quantity.Quantity.rst:11: WARNING: py:obj reference target not found: numpy.cumsum /<>/docs/api/astropy.units.quantity.Quantity.rst:15: WARNING: py:obj reference target not found: numpy.cumsum /<>/docs/api/astropy.units.quantity.Quantity.rst:11: WARNING: py:obj reference target not found: numpy.dot /<>/docs/api/astropy.units.quantity.Quantity.rst:15: WARNING: py:obj reference target not found: numpy.dot /<>/docs/api/astropy.units.quantity.Quantity.rst:12: WARNING: py:obj reference target not found: numpy.insert /<>/docs/api/astropy.units.quantity.Quantity.rst:11: WARNING: py:obj reference target not found: numpy.amax /<>/docs/api/astropy.units.quantity.Quantity.rst:15: WARNING: py:obj reference target not found: numpy.amax /<>/docs/api/astropy.units.quantity.Quantity.rst:11: WARNING: py:obj reference target not found: numpy.mean /<>/docs/api/astropy.units.quantity.Quantity.rst:15: WARNING: py:obj reference target not found: numpy.mean /<>/docs/api/astropy.units.quantity.Quantity.rst:11: WARNING: py:obj reference target not found: numpy.amin /<>/docs/api/astropy.units.quantity.Quantity.rst:15: WARNING: py:obj reference target not found: numpy.amin /<>/docs/api/astropy.units.quantity.Quantity.rst:11: WARNING: py:obj reference target not found: numpy.prod /<>/docs/api/astropy.units.quantity.Quantity.rst:15: WARNING: py:obj reference target not found: numpy.prod /<>/docs/api/astropy.units.quantity.Quantity.rst:11: WARNING: py:obj reference target not found: numpy.ptp /<>/docs/api/astropy.units.quantity.Quantity.rst:15: WARNING: py:obj reference target not found: numpy.ptp /<>/docs/api/astropy.units.quantity.Quantity.rst:11: WARNING: py:obj reference target not found: numpy.put /<>/docs/api/astropy.units.quantity.Quantity.rst:15: WARNING: py:obj reference target not found: numpy.put /<>/docs/api/astropy.units.quantity.Quantity.rst:11: WARNING: py:obj reference target not found: numpy.around /<>/docs/api/astropy.units.quantity.Quantity.rst:15: WARNING: py:obj reference target not found: numpy.around /<>/docs/api/astropy.units.quantity.Quantity.rst:11: WARNING: py:obj reference target not found: numpy.searchsorted /<>/docs/api/astropy.units.quantity.Quantity.rst:15: WARNING: py:obj reference target not found: numpy.searchsorted /<>/docs/api/astropy.units.quantity.Quantity.rst:11: WARNING: py:obj reference target not found: numpy.std /<>/docs/api/astropy.units.quantity.Quantity.rst:15: WARNING: py:obj reference target not found: numpy.std /<>/docs/api/astropy.units.quantity.Quantity.rst:11: WARNING: py:obj reference target not found: numpy.sum /<>/docs/api/astropy.units.quantity.Quantity.rst:15: WARNING: py:obj reference target not found: numpy.sum /<>/docs/api/astropy.units.quantity.Quantity.rst:21: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.units.quantity.Quantity.rst:15: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.units.quantity.Quantity.rst:20: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.units.quantity.Quantity.rst:29: WARNING: py:obj reference target not found: numpy.ndarray /<>/docs/api/astropy.units.quantity.Quantity.rst:11: WARNING: py:obj reference target not found: numpy.trace /<>/docs/api/astropy.units.quantity.Quantity.rst:15: WARNING: py:obj reference target not found: numpy.trace /<>/docs/api/astropy.units.quantity.Quantity.rst:11: WARNING: py:obj reference target not found: numpy.var /<>/docs/api/astropy.units.quantity.Quantity.rst:15: WARNING: py:obj reference target not found: numpy.var /<>/docs/api/astropy.units.quantity_input.rst:14: WARNING: py:obj reference target not found: ValueError /<>/docs/api/astropy.utils.collections.HomogeneousList.rst:9: WARNING: py:obj reference target not found: TypeError /<>/docs/api/astropy.utils.console.ProgressBar.rst:7: WARNING: py:class reference target not found: object /<>/docs/api/astropy.utils.console.ProgressBar.rst:31: WARNING: py:obj reference target not found: True ['ProgressBar(total_or_items, ipython_widget=False, file=None)', ':module: astropy.utils.console', '', 'Bases: :class:`object`', '', '', '', 'A class to display a progress bar in the terminal.', '', 'It is designed to be used either with the ``with`` statement::', '', ' with ProgressBar(len(items)) as bar:', ' for item in enumerate(items):', ' bar.update()', '', 'or as a generator::', '', ' for item in ProgressBar(items):', ' item.process()', '', '', '', '', '', '', ':Parameters:', '', ' **total_or_items** : int or sequence', '', ' If an int, the number of increments in the process being', ' tracked. If a sequence, the items to iterate over.', ' ', '', ' **ipython_widget** : bool, optional', '', ' If `True`, the progress bar will display as an IPython', ' notebook widget.', ' ', '', ' **file** : writable file-like object, optional', '', ' The file to write the progress bar to. Defaults to', ' `sys.stdout`. If ``file`` is not a tty (as determined by', ' calling its `isatty` member, if any, or special case hacks', ' to detect the IPython console), the progress bar will be', ' completely silent.', '', '.. rubric:: Methods Summary', '', '.. autosummary::', '', ' ~ProgressBar.map', ' ~ProgressBar.update', '', '.. rubric:: Methods Documentation', '', '.. automethod:: map', '.. automethod:: update']:32: WARNING: py:obj reference target not found: sys.stdout ['ProgressBar.map(function, items, multiprocess=False, file=None, step=100)', ':module: astropy.utils.console', '', '', '', 'Does a `map` operation while displaying a progress bar with', 'percentage complete.', '', '::', '', ' def work(i):', ' print(i)', '', ' ProgressBar.map(work, range(50))', '', ':Parameters:', '', ' **function** : function', '', ' Function to call for each step', ' ', '', ' **items** : sequence', '', ' Sequence where each element is a tuple of arguments to pass to', ' *function*.', ' ', '', ' **multiprocess** : bool, optional', '', ' If `True`, use the `multiprocessing` module to distribute each', ' task to a different processor core.', ' ', '', ' **file** : writeable file-like object, optional', '', ' The file to write the progress bar to. Defaults to', ' `sys.stdout`. If ``file`` is not a tty (as determined by', ' calling its `isatty` member, if any), the scrollbar will', ' be completely silent.', ' ', '', ' **step** : int, optional', '', ' Update the progress bar at least every *step* steps (default: 100).', ' If ``multiprocess`` is `True`, this will affect the size', ' of the chunks of ``items`` that are submitted as separate tasks', ' to the process pool. A large step size may make the job', ' complete faster if ``items`` is very long.']:26: WARNING: py:obj reference target not found: True ['ProgressBar.map(function, items, multiprocess=False, file=None, step=100)', ':module: astropy.utils.console', '', '', '', 'Does a `map` operation while displaying a progress bar with', 'percentage complete.', '', '::', '', ' def work(i):', ' print(i)', '', ' ProgressBar.map(work, range(50))', '', ':Parameters:', '', ' **function** : function', '', ' Function to call for each step', ' ', '', ' **items** : sequence', '', ' Sequence where each element is a tuple of arguments to pass to', ' *function*.', ' ', '', ' **multiprocess** : bool, optional', '', ' If `True`, use the `multiprocessing` module to distribute each', ' task to a different processor core.', ' ', '', ' **file** : writeable file-like object, optional', '', ' The file to write the progress bar to. Defaults to', ' `sys.stdout`. If ``file`` is not a tty (as determined by', ' calling its `isatty` member, if any), the scrollbar will', ' be completely silent.', ' ', '', ' **step** : int, optional', '', ' Update the progress bar at least every *step* steps (default: 100).', ' If ``multiprocess`` is `True`, this will affect the size', ' of the chunks of ``items`` that are submitted as separate tasks', ' to the process pool. A large step size may make the job', ' complete faster if ``items`` is very long.']:26: WARNING: py:obj reference target not found: multiprocessing ['ProgressBar.map(function, items, multiprocess=False, file=None, step=100)', ':module: astropy.utils.console', '', '', '', 'Does a `map` operation while displaying a progress bar with', 'percentage complete.', '', '::', '', ' def work(i):', ' print(i)', '', ' ProgressBar.map(work, range(50))', '', ':Parameters:', '', ' **function** : function', '', ' Function to call for each step', ' ', '', ' **items** : sequence', '', ' Sequence where each element is a tuple of arguments to pass to', ' *function*.', ' ', '', ' **multiprocess** : bool, optional', '', ' If `True`, use the `multiprocessing` module to distribute each', ' task to a different processor core.', ' ', '', ' **file** : writeable file-like object, optional', '', ' The file to write the progress bar to. Defaults to', ' `sys.stdout`. If ``file`` is not a tty (as determined by', ' calling its `isatty` member, if any), the scrollbar will', ' be completely silent.', ' ', '', ' **step** : int, optional', '', ' Update the progress bar at least every *step* steps (default: 100).', ' If ``multiprocess`` is `True`, this will affect the size', ' of the chunks of ``items`` that are submitted as separate tasks', ' to the process pool. A large step size may make the job', ' complete faster if ``items`` is very long.']:31: WARNING: py:obj reference target not found: sys.stdout ['ProgressBar.map(function, items, multiprocess=False, file=None, step=100)', ':module: astropy.utils.console', '', '', '', 'Does a `map` operation while displaying a progress bar with', 'percentage complete.', '', '::', '', ' def work(i):', ' print(i)', '', ' ProgressBar.map(work, range(50))', '', ':Parameters:', '', ' **function** : function', '', ' Function to call for each step', ' ', '', ' **items** : sequence', '', ' Sequence where each element is a tuple of arguments to pass to', ' *function*.', ' ', '', ' **multiprocess** : bool, optional', '', ' If `True`, use the `multiprocessing` module to distribute each', ' task to a different processor core.', ' ', '', ' **file** : writeable file-like object, optional', '', ' The file to write the progress bar to. Defaults to', ' `sys.stdout`. If ``file`` is not a tty (as determined by', ' calling its `isatty` member, if any), the scrollbar will', ' be completely silent.', ' ', '', ' **step** : int, optional', '', ' Update the progress bar at least every *step* steps (default: 100).', ' If ``multiprocess`` is `True`, this will affect the size', ' of the chunks of ``items`` that are submitted as separate tasks', ' to the process pool. A large step size may make the job', ' complete faster if ``items`` is very long.']:38: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.utils.console.ProgressBarOrSpinner.rst:7: WARNING: py:class reference target not found: object /<>/docs/api/astropy.utils.console.ProgressBarOrSpinner.rst:29: WARNING: py:obj reference target not found: None ["ProgressBarOrSpinner(total, msg, color='default', file=None)", ':module: astropy.utils.console', '', 'Bases: :class:`object`', '', '', '', 'A class that displays either a `ProgressBar` or `Spinner`', 'depending on whether the total size of the operation is', 'known or not.', '', 'It is designed to be used with the ``with`` statement::', '', ' if file.has_length():', ' length = file.get_length()', ' else:', ' length = None', ' bytes_read = 0', ' with ProgressBarOrSpinner(length) as bar:', ' while file.read(blocksize):', ' bytes_read += blocksize', ' bar.update(bytes_read)', '', '', '', '', '', '', ':Parameters:', '', ' **total** : int or None', '', ' If an int, the number of increments in the process being', ' tracked and a `ProgressBar` is displayed. If `None`, a', ' `Spinner` is displayed.', ' ', '', ' **msg** : str', '', ' The message to display above the `ProgressBar` or', ' alongside the `Spinner`.', ' ', '', ' **color** : str, optional', '', ' The color of ``msg``, if any. Must be an ANSI terminal', ' color name. Must be one of: black, red, green, brown,', ' blue, magenta, cyan, lightgrey, default, darkgrey,', ' lightred, lightgreen, yellow, lightblue, lightmagenta,', ' lightcyan, white.', ' ', '', ' **file** : writable file-like object, optional', '', ' The file to write the to. Defaults to `sys.stdout`. If', ' ``file`` is not a tty (as determined by calling its `isatty`', ' member, if any), only ``msg`` will be displayed: the', ' `ProgressBar` or `Spinner` will be silent.', '', '.. rubric:: Methods Summary', '', '.. autosummary::', '', ' ~ProgressBarOrSpinner.update', '', '.. rubric:: Methods Documentation', '', '.. automethod:: update']:44: WARNING: py:obj reference target not found: sys.stdout /<>/docs/api/astropy.utils.console.Spinner.rst:7: WARNING: py:class reference target not found: object ["Spinner(msg, color='default', file=None, step=1, chars=None)", ':module: astropy.utils.console', '', 'Bases: :class:`object`', '', '', '', 'A class to display a spinner in the terminal.', '', 'It is designed to be used with the ``with`` statement::', '', ' with Spinner("Reticulating splines", "green") as s:', ' for item in enumerate(items):', ' s.next()', '', '', '', '', '', '', ':Parameters:', '', ' **msg** : str', '', ' The message to print', ' ', '', ' **color** : str, optional', '', ' An ANSI terminal color name. Must be one of: black, red,', ' green, brown, blue, magenta, cyan, lightgrey, default,', ' darkgrey, lightred, lightgreen, yellow, lightblue,', ' lightmagenta, lightcyan, white.', ' ', '', ' **file** : writeable file-like object, optional', '', ' The file to write the spinner to. Defaults to', ' `sys.stdout`. If ``file`` is not a tty (as determined by', ' calling its `isatty` member, if any, or special case hacks', ' to detect the IPython console), the spinner will be', ' completely silent.', ' ', '', ' **step** : int, optional', '', ' Only update the spinner every *step* steps', ' ', '', ' **chars** : str, optional', '', ' The character sequence to use for the spinner']:28: WARNING: py:obj reference target not found: sys.stdout ['color_print(*args, **kwargs)', ':module: astropy.utils.console', '', '', '', 'Prints colors and styles to the terminal uses ANSI escape', 'sequences.', '', '::', '', " color_print('This is the color ', 'default', 'GREEN', 'green')", '', ':Parameters:', '', ' **positional args** : str', '', ' The positional arguments come in pairs (*msg*, *color*), where', ' *msg* is the string to display and *color* is the color to', ' display it in.', ' ', ' *color* is an ANSI terminal color name. Must be one of:', ' black, red, green, brown, blue, magenta, cyan, lightgrey,', ' default, darkgrey, lightred, lightgreen, yellow, lightblue,', " lightmagenta, lightcyan, white, or '' (the empty string).", ' ', '', ' **file** : writeable file-like object, optional', '', ' Where to write to. Defaults to `sys.stdout`. If file is not', ' a tty (as determined by calling its `isatty` member, if one', ' exists), no coloring will be included.', ' ', '', ' **end** : str, optional', '', ' The ending of the message. Defaults to ``\\n``. The end will', ' be printed after resetting any color or font state.']:25: WARNING: py:obj reference target not found: sys.stdout /<>/docs/api/astropy.utils.console.isatty.rst:9: WARNING: py:obj reference target not found: True ['print_code_line(line, col=None, file=None, tabwidth=8, width=70)', ':module: astropy.utils.console', '', '', '', 'Prints a line of source code, highlighting a particular character', 'position in the line. Useful for displaying the context of error', 'messages.', '', 'If the line is more than ``width`` characters, the line is truncated', "accordingly and '…' characters are inserted at the front and/or", 'end.', '', 'It looks like this::', '', ' there_is_a_syntax_error_here :', ' ^', '', ':Parameters:', '', ' **line** : unicode', '', ' The line of code to display', ' ', '', ' **col** : int, optional', '', ' The character in the line to highlight. ``col`` must be less', ' than ``len(line)``.', ' ', '', ' **file** : writeable file-like object, optional', '', ' Where to write to. Defaults to `sys.stdout`.', ' ', '', ' **tabwidth** : int, optional', '', " The number of spaces per tab (``'\\t'``) character. Default", ' is 8. All tabs will be converted to spaces to ensure that the', ' caret lines up with the correct column.', ' ', '', ' **width** : int, optional', '', ' The width of the display, beyond which the line will be', ' truncated. Defaults to 70 (this matches the default in the', " standard library's `textwrap` module)."]:29: WARNING: py:obj reference target not found: sys.stdout ['print_code_line(line, col=None, file=None, tabwidth=8, width=70)', ':module: astropy.utils.console', '', '', '', 'Prints a line of source code, highlighting a particular character', 'position in the line. Useful for displaying the context of error', 'messages.', '', 'If the line is more than ``width`` characters, the line is truncated', "accordingly and '…' characters are inserted at the front and/or", 'end.', '', 'It looks like this::', '', ' there_is_a_syntax_error_here :', ' ^', '', ':Parameters:', '', ' **line** : unicode', '', ' The line of code to display', ' ', '', ' **col** : int, optional', '', ' The character in the line to highlight. ``col`` must be less', ' than ``len(line)``.', ' ', '', ' **file** : writeable file-like object, optional', '', ' Where to write to. Defaults to `sys.stdout`.', ' ', '', ' **tabwidth** : int, optional', '', " The number of spaces per tab (``'\\t'``) character. Default", ' is 8. All tabs will be converted to spaces to ensure that the', ' caret lines up with the correct column.', ' ', '', ' **width** : int, optional', '', ' The width of the display, beyond which the line will be', ' truncated. Defaults to 70 (this matches the default in the', " standard library's `textwrap` module)."]:39: WARNING: py:obj reference target not found: textwrap ['download_file(remote_url, cache=False, show_progress=True, timeout=None)', ':module: astropy.utils.data', '', '', '', 'Accepts a URL, downloads and optionally caches the result', "returning the filename, with a name determined by the file's MD5", 'hash. If ``cache=True`` and the file is present in the cache, just', 'returns the filename.', '', '', ':Parameters:', '', ' **remote_url** : str', '', ' The URL of the file to download', ' ', '', ' **cache** : bool, optional', '', ' Whether to use the cache', ' ', '', ' **show_progress** : bool, optional', '', ' Whether to display a progress bar during the download (default', ' is `True`)', ' ', '', ' **timeout** : float, optional', '', ' The timeout, in seconds. Otherwise, use', ' `astropy.utils.data.Conf.remote_timeout`.', '', ':Returns:', '', ' **local_path** : str', '', ' Returns the local path that the file was download to.', '', ':Raises:', '', ' **urllib2.URLError, urllib.error.URLError**', '', " Whenever there's a problem getting the remote file."]:20: WARNING: py:obj reference target not found: True ['download_files_in_parallel(urls, cache=False, show_progress=True, timeout=None)', ':module: astropy.utils.data', '', '', '', 'Downloads multiple files in parallel from the given URLs. Blocks until', 'all files have downloaded. The result is a list of local file paths', 'corresponding to the given urls.', '', '', ':Parameters:', '', ' **urls** : list of str', '', ' The URLs to retrieve.', ' ', '', ' **cache** : bool, optional', '', ' Whether to use the cache', ' ', '', ' **show_progress** : bool, optional', '', ' Whether to display a progress bar during the download (default', ' is `True`)', ' ', '', ' **timeout** : float, optional', '', ' Timeout for the requests in seconds (default is the', ' configurable `astropy.utils.data.Conf.remote_timeout`).', '', ':Returns:', '', ' **paths** : list of str', '', ' The local file paths corresponding to the downloaded URLs.']:19: WARNING: py:obj reference target not found: True ['get_pkg_data_contents(data_name, package=None, encoding=None, cache=True)', ':module: astropy.utils.data', '', '', '', 'Retrieves a data file from the standard locations and returns its', 'contents as a bytes object.', '', '', ':Parameters:', '', ' **data_name** : str', '', ' Name/location of the desired data file. One of the following:', ' ', ' * The name of a data file included in the source', ' distribution. The path is relative to the module', ' calling this function. For example, if calling from', " ``astropy.pkname``, use ``'data/file.dat'`` to get the", ' file in ``astropy/pkgname/data/file.dat``. Double-dots', ' can be used to go up a level. In the same example, use', " ``'../data/file.dat'`` to get ``astropy/data/file.dat``.", ' * If a matching local file does not exist, the Astropy', ' data server will be queried for the file.', ' * A hash like that produced by `compute_hash` can be', " requested, prefixed by 'hash/'", " e.g. 'hash/34c33b3eb0d56eb9462003af249eff28'. The hash", ' will first be searched for locally, and if not found,', ' the Astropy data server will be queried.', ' * A URL to some other file.', ' ', '', ' **package** : str, optional', '', ' If specified, look for a file relative to the given package, rather', " than the default of looking relative to the calling module's package.", ' ', '', ' **encoding** : str, optional', '', ' When `None` (default), returns a file-like object with a', ' ``read`` method that on Python 2.x returns `bytes` objects and', ' on Python 3.x returns `str` (``unicode``) objects, using', ' `locale.getpreferredencoding` as an encoding. This matches', ' the default behavior of the built-in `open` when no ``mode``', ' argument is provided.', ' ', " When ``'binary'``, returns a file-like object where its ``read``", ' method returns `bytes` objects.', ' ', ' When another string, it is the name of an encoding, and the', " file-like object's ``read`` method will return `str` (``unicode``)", ' objects, decoded from binary using the given encoding.', ' ', '', ' **cache** : bool', '', ' If True, the file will be downloaded and saved locally or the', ' already-cached local copy will be accessed. If False, the', ' file-like object will directly access the resource (e.g. if a', ' remote URL is accessed, an object like that from', ' `urllib2.urlopen` on Python 2 or `urllib.request.urlopen` on', ' Python 3 is returned).', '', ':Returns:', '', ' **contents** : bytes', '', ' The complete contents of the file as a bytes object.', '', ':Raises:', '', ' **urllib2.URLError, urllib.error.URLError**', '', ' If a remote file cannot be found.', '', ' **IOError**', '', ' If problems occur writing or reading a local file.', '', '.. seealso::', '', ' ', ' :obj:`get_pkg_data_fileobj`', ' returns a file-like object with the data', ' ', ' :obj:`get_pkg_data_filename`', ' returns a local name for a file containing the data']:35: WARNING: py:obj reference target not found: None ['get_pkg_data_contents(data_name, package=None, encoding=None, cache=True)', ':module: astropy.utils.data', '', '', '', 'Retrieves a data file from the standard locations and returns its', 'contents as a bytes object.', '', '', ':Parameters:', '', ' **data_name** : str', '', ' Name/location of the desired data file. One of the following:', ' ', ' * The name of a data file included in the source', ' distribution. The path is relative to the module', ' calling this function. For example, if calling from', " ``astropy.pkname``, use ``'data/file.dat'`` to get the", ' file in ``astropy/pkgname/data/file.dat``. Double-dots', ' can be used to go up a level. In the same example, use', " ``'../data/file.dat'`` to get ``astropy/data/file.dat``.", ' * If a matching local file does not exist, the Astropy', ' data server will be queried for the file.', ' * A hash like that produced by `compute_hash` can be', " requested, prefixed by 'hash/'", " e.g. 'hash/34c33b3eb0d56eb9462003af249eff28'. The hash", ' will first be searched for locally, and if not found,', ' the Astropy data server will be queried.', ' * A URL to some other file.', ' ', '', ' **package** : str, optional', '', ' If specified, look for a file relative to the given package, rather', " than the default of looking relative to the calling module's package.", ' ', '', ' **encoding** : str, optional', '', ' When `None` (default), returns a file-like object with a', ' ``read`` method that on Python 2.x returns `bytes` objects and', ' on Python 3.x returns `str` (``unicode``) objects, using', ' `locale.getpreferredencoding` as an encoding. This matches', ' the default behavior of the built-in `open` when no ``mode``', ' argument is provided.', ' ', " When ``'binary'``, returns a file-like object where its ``read``", ' method returns `bytes` objects.', ' ', ' When another string, it is the name of an encoding, and the', " file-like object's ``read`` method will return `str` (``unicode``)", ' objects, decoded from binary using the given encoding.', ' ', '', ' **cache** : bool', '', ' If True, the file will be downloaded and saved locally or the', ' already-cached local copy will be accessed. If False, the', ' file-like object will directly access the resource (e.g. if a', ' remote URL is accessed, an object like that from', ' `urllib2.urlopen` on Python 2 or `urllib.request.urlopen` on', ' Python 3 is returned).', '', ':Returns:', '', ' **contents** : bytes', '', ' The complete contents of the file as a bytes object.', '', ':Raises:', '', ' **urllib2.URLError, urllib.error.URLError**', '', ' If a remote file cannot be found.', '', ' **IOError**', '', ' If problems occur writing or reading a local file.', '', '.. seealso::', '', ' ', ' :obj:`get_pkg_data_fileobj`', ' returns a file-like object with the data', ' ', ' :obj:`get_pkg_data_filename`', ' returns a local name for a file containing the data']:35: WARNING: py:obj reference target not found: bytes ['get_pkg_data_contents(data_name, package=None, encoding=None, cache=True)', ':module: astropy.utils.data', '', '', '', 'Retrieves a data file from the standard locations and returns its', 'contents as a bytes object.', '', '', ':Parameters:', '', ' **data_name** : str', '', ' Name/location of the desired data file. One of the following:', ' ', ' * The name of a data file included in the source', ' distribution. The path is relative to the module', ' calling this function. For example, if calling from', " ``astropy.pkname``, use ``'data/file.dat'`` to get the", ' file in ``astropy/pkgname/data/file.dat``. Double-dots', ' can be used to go up a level. In the same example, use', " ``'../data/file.dat'`` to get ``astropy/data/file.dat``.", ' * If a matching local file does not exist, the Astropy', ' data server will be queried for the file.', ' * A hash like that produced by `compute_hash` can be', " requested, prefixed by 'hash/'", " e.g. 'hash/34c33b3eb0d56eb9462003af249eff28'. The hash", ' will first be searched for locally, and if not found,', ' the Astropy data server will be queried.', ' * A URL to some other file.', ' ', '', ' **package** : str, optional', '', ' If specified, look for a file relative to the given package, rather', " than the default of looking relative to the calling module's package.", ' ', '', ' **encoding** : str, optional', '', ' When `None` (default), returns a file-like object with a', ' ``read`` method that on Python 2.x returns `bytes` objects and', ' on Python 3.x returns `str` (``unicode``) objects, using', ' `locale.getpreferredencoding` as an encoding. This matches', ' the default behavior of the built-in `open` when no ``mode``', ' argument is provided.', ' ', " When ``'binary'``, returns a file-like object where its ``read``", ' method returns `bytes` objects.', ' ', ' When another string, it is the name of an encoding, and the', " file-like object's ``read`` method will return `str` (``unicode``)", ' objects, decoded from binary using the given encoding.', ' ', '', ' **cache** : bool', '', ' If True, the file will be downloaded and saved locally or the', ' already-cached local copy will be accessed. If False, the', ' file-like object will directly access the resource (e.g. if a', ' remote URL is accessed, an object like that from', ' `urllib2.urlopen` on Python 2 or `urllib.request.urlopen` on', ' Python 3 is returned).', '', ':Returns:', '', ' **contents** : bytes', '', ' The complete contents of the file as a bytes object.', '', ':Raises:', '', ' **urllib2.URLError, urllib.error.URLError**', '', ' If a remote file cannot be found.', '', ' **IOError**', '', ' If problems occur writing or reading a local file.', '', '.. seealso::', '', ' ', ' :obj:`get_pkg_data_fileobj`', ' returns a file-like object with the data', ' ', ' :obj:`get_pkg_data_filename`', ' returns a local name for a file containing the data']:35: WARNING: py:obj reference target not found: str ['get_pkg_data_contents(data_name, package=None, encoding=None, cache=True)', ':module: astropy.utils.data', '', '', '', 'Retrieves a data file from the standard locations and returns its', 'contents as a bytes object.', '', '', ':Parameters:', '', ' **data_name** : str', '', ' Name/location of the desired data file. One of the following:', ' ', ' * The name of a data file included in the source', ' distribution. The path is relative to the module', ' calling this function. For example, if calling from', " ``astropy.pkname``, use ``'data/file.dat'`` to get the", ' file in ``astropy/pkgname/data/file.dat``. Double-dots', ' can be used to go up a level. In the same example, use', " ``'../data/file.dat'`` to get ``astropy/data/file.dat``.", ' * If a matching local file does not exist, the Astropy', ' data server will be queried for the file.', ' * A hash like that produced by `compute_hash` can be', " requested, prefixed by 'hash/'", " e.g. 'hash/34c33b3eb0d56eb9462003af249eff28'. The hash", ' will first be searched for locally, and if not found,', ' the Astropy data server will be queried.', ' * A URL to some other file.', ' ', '', ' **package** : str, optional', '', ' If specified, look for a file relative to the given package, rather', " than the default of looking relative to the calling module's package.", ' ', '', ' **encoding** : str, optional', '', ' When `None` (default), returns a file-like object with a', ' ``read`` method that on Python 2.x returns `bytes` objects and', ' on Python 3.x returns `str` (``unicode``) objects, using', ' `locale.getpreferredencoding` as an encoding. This matches', ' the default behavior of the built-in `open` when no ``mode``', ' argument is provided.', ' ', " When ``'binary'``, returns a file-like object where its ``read``", ' method returns `bytes` objects.', ' ', ' When another string, it is the name of an encoding, and the', " file-like object's ``read`` method will return `str` (``unicode``)", ' objects, decoded from binary using the given encoding.', ' ', '', ' **cache** : bool', '', ' If True, the file will be downloaded and saved locally or the', ' already-cached local copy will be accessed. If False, the', ' file-like object will directly access the resource (e.g. if a', ' remote URL is accessed, an object like that from', ' `urllib2.urlopen` on Python 2 or `urllib.request.urlopen` on', ' Python 3 is returned).', '', ':Returns:', '', ' **contents** : bytes', '', ' The complete contents of the file as a bytes object.', '', ':Raises:', '', ' **urllib2.URLError, urllib.error.URLError**', '', ' If a remote file cannot be found.', '', ' **IOError**', '', ' If problems occur writing or reading a local file.', '', '.. seealso::', '', ' ', ' :obj:`get_pkg_data_fileobj`', ' returns a file-like object with the data', ' ', ' :obj:`get_pkg_data_filename`', ' returns a local name for a file containing the data']:35: WARNING: py:obj reference target not found: locale.getpreferredencoding ['get_pkg_data_contents(data_name, package=None, encoding=None, cache=True)', ':module: astropy.utils.data', '', '', '', 'Retrieves a data file from the standard locations and returns its', 'contents as a bytes object.', '', '', ':Parameters:', '', ' **data_name** : str', '', ' Name/location of the desired data file. One of the following:', ' ', ' * The name of a data file included in the source', ' distribution. The path is relative to the module', ' calling this function. For example, if calling from', " ``astropy.pkname``, use ``'data/file.dat'`` to get the", ' file in ``astropy/pkgname/data/file.dat``. Double-dots', ' can be used to go up a level. In the same example, use', " ``'../data/file.dat'`` to get ``astropy/data/file.dat``.", ' * If a matching local file does not exist, the Astropy', ' data server will be queried for the file.', ' * A hash like that produced by `compute_hash` can be', " requested, prefixed by 'hash/'", " e.g. 'hash/34c33b3eb0d56eb9462003af249eff28'. The hash", ' will first be searched for locally, and if not found,', ' the Astropy data server will be queried.', ' * A URL to some other file.', ' ', '', ' **package** : str, optional', '', ' If specified, look for a file relative to the given package, rather', " than the default of looking relative to the calling module's package.", ' ', '', ' **encoding** : str, optional', '', ' When `None` (default), returns a file-like object with a', ' ``read`` method that on Python 2.x returns `bytes` objects and', ' on Python 3.x returns `str` (``unicode``) objects, using', ' `locale.getpreferredencoding` as an encoding. This matches', ' the default behavior of the built-in `open` when no ``mode``', ' argument is provided.', ' ', " When ``'binary'``, returns a file-like object where its ``read``", ' method returns `bytes` objects.', ' ', ' When another string, it is the name of an encoding, and the', " file-like object's ``read`` method will return `str` (``unicode``)", ' objects, decoded from binary using the given encoding.', ' ', '', ' **cache** : bool', '', ' If True, the file will be downloaded and saved locally or the', ' already-cached local copy will be accessed. If False, the', ' file-like object will directly access the resource (e.g. if a', ' remote URL is accessed, an object like that from', ' `urllib2.urlopen` on Python 2 or `urllib.request.urlopen` on', ' Python 3 is returned).', '', ':Returns:', '', ' **contents** : bytes', '', ' The complete contents of the file as a bytes object.', '', ':Raises:', '', ' **urllib2.URLError, urllib.error.URLError**', '', ' If a remote file cannot be found.', '', ' **IOError**', '', ' If problems occur writing or reading a local file.', '', '.. seealso::', '', ' ', ' :obj:`get_pkg_data_fileobj`', ' returns a file-like object with the data', ' ', ' :obj:`get_pkg_data_filename`', ' returns a local name for a file containing the data']:35: WARNING: py:obj reference target not found: open ['get_pkg_data_contents(data_name, package=None, encoding=None, cache=True)', ':module: astropy.utils.data', '', '', '', 'Retrieves a data file from the standard locations and returns its', 'contents as a bytes object.', '', '', ':Parameters:', '', ' **data_name** : str', '', ' Name/location of the desired data file. One of the following:', ' ', ' * The name of a data file included in the source', ' distribution. The path is relative to the module', ' calling this function. For example, if calling from', " ``astropy.pkname``, use ``'data/file.dat'`` to get the", ' file in ``astropy/pkgname/data/file.dat``. Double-dots', ' can be used to go up a level. In the same example, use', " ``'../data/file.dat'`` to get ``astropy/data/file.dat``.", ' * If a matching local file does not exist, the Astropy', ' data server will be queried for the file.', ' * A hash like that produced by `compute_hash` can be', " requested, prefixed by 'hash/'", " e.g. 'hash/34c33b3eb0d56eb9462003af249eff28'. The hash", ' will first be searched for locally, and if not found,', ' the Astropy data server will be queried.', ' * A URL to some other file.', ' ', '', ' **package** : str, optional', '', ' If specified, look for a file relative to the given package, rather', " than the default of looking relative to the calling module's package.", ' ', '', ' **encoding** : str, optional', '', ' When `None` (default), returns a file-like object with a', ' ``read`` method that on Python 2.x returns `bytes` objects and', ' on Python 3.x returns `str` (``unicode``) objects, using', ' `locale.getpreferredencoding` as an encoding. This matches', ' the default behavior of the built-in `open` when no ``mode``', ' argument is provided.', ' ', " When ``'binary'``, returns a file-like object where its ``read``", ' method returns `bytes` objects.', ' ', ' When another string, it is the name of an encoding, and the', " file-like object's ``read`` method will return `str` (``unicode``)", ' objects, decoded from binary using the given encoding.', ' ', '', ' **cache** : bool', '', ' If True, the file will be downloaded and saved locally or the', ' already-cached local copy will be accessed. If False, the', ' file-like object will directly access the resource (e.g. if a', ' remote URL is accessed, an object like that from', ' `urllib2.urlopen` on Python 2 or `urllib.request.urlopen` on', ' Python 3 is returned).', '', ':Returns:', '', ' **contents** : bytes', '', ' The complete contents of the file as a bytes object.', '', ':Raises:', '', ' **urllib2.URLError, urllib.error.URLError**', '', ' If a remote file cannot be found.', '', ' **IOError**', '', ' If problems occur writing or reading a local file.', '', '.. seealso::', '', ' ', ' :obj:`get_pkg_data_fileobj`', ' returns a file-like object with the data', ' ', ' :obj:`get_pkg_data_filename`', ' returns a local name for a file containing the data']:42: WARNING: py:obj reference target not found: bytes ['get_pkg_data_contents(data_name, package=None, encoding=None, cache=True)', ':module: astropy.utils.data', '', '', '', 'Retrieves a data file from the standard locations and returns its', 'contents as a bytes object.', '', '', ':Parameters:', '', ' **data_name** : str', '', ' Name/location of the desired data file. One of the following:', ' ', ' * The name of a data file included in the source', ' distribution. The path is relative to the module', ' calling this function. For example, if calling from', " ``astropy.pkname``, use ``'data/file.dat'`` to get the", ' file in ``astropy/pkgname/data/file.dat``. Double-dots', ' can be used to go up a level. In the same example, use', " ``'../data/file.dat'`` to get ``astropy/data/file.dat``.", ' * If a matching local file does not exist, the Astropy', ' data server will be queried for the file.', ' * A hash like that produced by `compute_hash` can be', " requested, prefixed by 'hash/'", " e.g. 'hash/34c33b3eb0d56eb9462003af249eff28'. The hash", ' will first be searched for locally, and if not found,', ' the Astropy data server will be queried.', ' * A URL to some other file.', ' ', '', ' **package** : str, optional', '', ' If specified, look for a file relative to the given package, rather', " than the default of looking relative to the calling module's package.", ' ', '', ' **encoding** : str, optional', '', ' When `None` (default), returns a file-like object with a', ' ``read`` method that on Python 2.x returns `bytes` objects and', ' on Python 3.x returns `str` (``unicode``) objects, using', ' `locale.getpreferredencoding` as an encoding. This matches', ' the default behavior of the built-in `open` when no ``mode``', ' argument is provided.', ' ', " When ``'binary'``, returns a file-like object where its ``read``", ' method returns `bytes` objects.', ' ', ' When another string, it is the name of an encoding, and the', " file-like object's ``read`` method will return `str` (``unicode``)", ' objects, decoded from binary using the given encoding.', ' ', '', ' **cache** : bool', '', ' If True, the file will be downloaded and saved locally or the', ' already-cached local copy will be accessed. If False, the', ' file-like object will directly access the resource (e.g. if a', ' remote URL is accessed, an object like that from', ' `urllib2.urlopen` on Python 2 or `urllib.request.urlopen` on', ' Python 3 is returned).', '', ':Returns:', '', ' **contents** : bytes', '', ' The complete contents of the file as a bytes object.', '', ':Raises:', '', ' **urllib2.URLError, urllib.error.URLError**', '', ' If a remote file cannot be found.', '', ' **IOError**', '', ' If problems occur writing or reading a local file.', '', '.. seealso::', '', ' ', ' :obj:`get_pkg_data_fileobj`', ' returns a file-like object with the data', ' ', ' :obj:`get_pkg_data_filename`', ' returns a local name for a file containing the data']:45: WARNING: py:obj reference target not found: str ['get_pkg_data_contents(data_name, package=None, encoding=None, cache=True)', ':module: astropy.utils.data', '', '', '', 'Retrieves a data file from the standard locations and returns its', 'contents as a bytes object.', '', '', ':Parameters:', '', ' **data_name** : str', '', ' Name/location of the desired data file. One of the following:', ' ', ' * The name of a data file included in the source', ' distribution. The path is relative to the module', ' calling this function. For example, if calling from', " ``astropy.pkname``, use ``'data/file.dat'`` to get the", ' file in ``astropy/pkgname/data/file.dat``. Double-dots', ' can be used to go up a level. In the same example, use', " ``'../data/file.dat'`` to get ``astropy/data/file.dat``.", ' * If a matching local file does not exist, the Astropy', ' data server will be queried for the file.', ' * A hash like that produced by `compute_hash` can be', " requested, prefixed by 'hash/'", " e.g. 'hash/34c33b3eb0d56eb9462003af249eff28'. The hash", ' will first be searched for locally, and if not found,', ' the Astropy data server will be queried.', ' * A URL to some other file.', ' ', '', ' **package** : str, optional', '', ' If specified, look for a file relative to the given package, rather', " than the default of looking relative to the calling module's package.", ' ', '', ' **encoding** : str, optional', '', ' When `None` (default), returns a file-like object with a', ' ``read`` method that on Python 2.x returns `bytes` objects and', ' on Python 3.x returns `str` (``unicode``) objects, using', ' `locale.getpreferredencoding` as an encoding. This matches', ' the default behavior of the built-in `open` when no ``mode``', ' argument is provided.', ' ', " When ``'binary'``, returns a file-like object where its ``read``", ' method returns `bytes` objects.', ' ', ' When another string, it is the name of an encoding, and the', " file-like object's ``read`` method will return `str` (``unicode``)", ' objects, decoded from binary using the given encoding.', ' ', '', ' **cache** : bool', '', ' If True, the file will be downloaded and saved locally or the', ' already-cached local copy will be accessed. If False, the', ' file-like object will directly access the resource (e.g. if a', ' remote URL is accessed, an object like that from', ' `urllib2.urlopen` on Python 2 or `urllib.request.urlopen` on', ' Python 3 is returned).', '', ':Returns:', '', ' **contents** : bytes', '', ' The complete contents of the file as a bytes object.', '', ':Raises:', '', ' **urllib2.URLError, urllib.error.URLError**', '', ' If a remote file cannot be found.', '', ' **IOError**', '', ' If problems occur writing or reading a local file.', '', '.. seealso::', '', ' ', ' :obj:`get_pkg_data_fileobj`', ' returns a file-like object with the data', ' ', ' :obj:`get_pkg_data_filename`', ' returns a local name for a file containing the data']:51: WARNING: py:obj reference target not found: urllib.request.urlopen ['get_pkg_data_filename(data_name, package=None, show_progress=True, remote_timeout=None)', ':module: astropy.utils.data', '', '', '', 'Retrieves a data file from the standard locations for the package and', 'provides a local filename for the data.', '', 'This function is similar to `get_pkg_data_fileobj` but returns the', 'file *name* instead of a readable file-like object. This means', 'that this function must always cache remote files locally, unlike', '`get_pkg_data_fileobj`.', '', ':Parameters:', '', ' **data_name** : str', '', ' Name/location of the desired data file. One of the following:', ' ', ' * The name of a data file included in the source', ' distribution. The path is relative to the module', ' calling this function. For example, if calling from', " ``astropy.pkname``, use ``'data/file.dat'`` to get the", ' file in ``astropy/pkgname/data/file.dat``. Double-dots', ' can be used to go up a level. In the same example, use', " ``'../data/file.dat'`` to get ``astropy/data/file.dat``.", ' * If a matching local file does not exist, the Astropy', ' data server will be queried for the file.', ' * A hash like that produced by `compute_hash` can be', " requested, prefixed by 'hash/'", " e.g. 'hash/34c33b3eb0d56eb9462003af249eff28'. The hash", ' will first be searched for locally, and if not found,', ' the Astropy data server will be queried.', ' ', '', ' **package** : str, optional', '', ' If specified, look for a file relative to the given package, rather', " than the default of looking relative to the calling module's package.", ' ', '', ' **show_progress** : bool, optional', '', ' Whether to display a progress bar if the file is downloaded', ' from a remote server. Default is `True`.', ' ', '', ' **remote_timeout** : float', '', ' Timeout for the requests in seconds (default is the', ' configurable `astropy.utils.data.Conf.remote_timeout`, which', ' is 3s by default)', '', ':Returns:', '', ' **filename** : str', '', ' A file path on the local file system corresponding to the data', ' requested in ``data_name``.', '', ':Raises:', '', ' **urllib2.URLError, urllib.error.URLError**', '', ' If a remote file cannot be found.', '', ' **IOError**', '', ' If problems occur writing or reading a local file.', '', '.. seealso::', '', ' ', ' :obj:`get_pkg_data_contents`', ' returns the contents of a file or url as a bytes object', ' ', ' :obj:`get_pkg_data_fileobj`', ' returns a file-like object with the data', ' ', '.. rubric:: Examples', '', '', 'This will retrieve the contents of the data file for the `astropy.wcs`', 'tests::', '', ' >>> from astropy.utils.data import get_pkg_data_filename', " >>> fn = get_pkg_data_filename('data/3d_cd.hdr',", " ... package='astropy.wcs.tests')", ' >>> with open(fn) as f:', ' ... fcontents = f.read()', ' ...', '', 'This retrieves a data file by hash either locally or from the astropy data', 'server::', '', ' >>> from astropy.utils.data import get_pkg_data_filename', " >>> fn = get_pkg_data_filename('hash/34c33b3eb0d56eb9462003af249eff28') # doctest: +SKIP", ' >>> with open(fn) as f:', ' ... fcontents = f.read()', ' ...']:39: WARNING: py:obj reference target not found: True ["get_pkg_data_filenames(datadir, package=None, pattern='*')", ':module: astropy.utils.data', '', '', '', 'Returns the path of all of the data files in a given directory', 'that match a given glob pattern.', '', '', ':Parameters:', '', ' **datadir** : str', '', ' Name/location of the desired data files. One of the following:', ' ', ' * The name of a directory included in the source', ' distribution. The path is relative to the module', ' calling this function. For example, if calling from', " ``astropy.pkname``, use ``'data'`` to get the", ' files in ``astropy/pkgname/data``.', ' * Remote URLs are not currently supported.', ' ', '', ' **package** : str, optional', '', ' If specified, look for a file relative to the given package, rather', " than the default of looking relative to the calling module's package.", ' ', '', ' **pattern** : str, optional', '', ' A UNIX-style filename glob pattern to match files. See the', ' `glob` module in the standard library for more information.', ' By default, matches all files.', '', ':Returns:', '', ' **filenames** : iterator of str', '', ' Paths on the local filesystem in *datadir* matching *pattern*.', '', '.. rubric:: Examples', '', '', 'This will retrieve the contents of the data file for the `astropy.wcs`', 'tests::', '', ' >>> from astropy.utils.data import get_pkg_data_filenames', " >>> for fn in get_pkg_data_filenames('maps', 'astropy.wcs.tests',", " ... '*.hdr'):", ' ... with open(fn) as f:', ' ... fcontents = f.read()', ' ...']:26: WARNING: py:obj reference target not found: glob ['get_pkg_data_fileobj(data_name, package=None, encoding=None, cache=True)', ':module: astropy.utils.data', '', '', '', 'Retrieves a data file from the standard locations for the package and', 'provides the file as a file-like object that reads bytes.', '', '', ':Parameters:', '', ' **data_name** : str', '', ' Name/location of the desired data file. One of the following:', ' ', ' * The name of a data file included in the source', ' distribution. The path is relative to the module', ' calling this function. For example, if calling from', " ``astropy.pkname``, use ``'data/file.dat'`` to get the", ' file in ``astropy/pkgname/data/file.dat``. Double-dots', ' can be used to go up a level. In the same example, use', " ``'../data/file.dat'`` to get ``astropy/data/file.dat``.", ' * If a matching local file does not exist, the Astropy', ' data server will be queried for the file.', ' * A hash like that produced by `compute_hash` can be', " requested, prefixed by 'hash/'", " e.g. 'hash/34c33b3eb0d56eb9462003af249eff28'. The hash", ' will first be searched for locally, and if not found,', ' the Astropy data server will be queried.', ' ', '', ' **package** : str, optional', '', ' If specified, look for a file relative to the given package, rather', " than the default of looking relative to the calling module's package.", ' ', '', ' **encoding** : str, optional', '', ' When `None` (default), returns a file-like object with a', ' ``read`` method that on Python 2.x returns `bytes` objects and', ' on Python 3.x returns `str` (``unicode``) objects, using', ' `locale.getpreferredencoding` as an encoding. This matches', ' the default behavior of the built-in `open` when no ``mode``', ' argument is provided.', ' ', " When ``'binary'``, returns a file-like object where its ``read``", ' method returns `bytes` objects.', ' ', ' When another string, it is the name of an encoding, and the', " file-like object's ``read`` method will return `str` (``unicode``)", ' objects, decoded from binary using the given encoding.', ' ', '', ' **cache** : bool', '', ' If True, the file will be downloaded and saved locally or the', ' already-cached local copy will be accessed. If False, the', ' file-like object will directly access the resource (e.g. if a', ' remote URL is accessed, an object like that from', ' `urllib2.urlopen` on Python 2 or `urllib.request.urlopen` on', ' Python 3 is returned).', '', ':Returns:', '', ' **fileobj** : file-like', '', ' An object with the contents of the data file available via', ' ``read`` function. Can be used as part of a ``with`` statement,', ' automatically closing itself after the ``with`` block.', '', ':Raises:', '', ' **urllib2.URLError, urllib.error.URLError**', '', ' If a remote file cannot be found.', '', ' **IOError**', '', ' If problems occur writing or reading a local file.', '', '.. seealso::', '', ' ', ' :obj:`get_pkg_data_contents`', ' returns the contents of a file or url as a bytes object', ' ', ' :obj:`get_pkg_data_filename`', ' returns a local name for a file containing the data', ' ', '.. rubric:: Examples', '', '', 'This will retrieve a data file and its contents for the `astropy.wcs`', 'tests::', '', ' >>> from astropy.utils.data import get_pkg_data_fileobj', " >>> with get_pkg_data_fileobj('data/3d_cd.hdr',", " ... package='astropy.wcs.tests') as fobj:", ' ... fcontents = fobj.read()', ' ...', '', 'This next example would download a data file from the astropy data server', 'because the ``allsky/allsky_rosat.fits`` file is not present in the', 'source distribution. It will also save the file locally so the', "next time it is accessed it won't need to be downloaded.::", '', ' >>> from astropy.utils.data import get_pkg_data_fileobj', " >>> with get_pkg_data_fileobj('allsky/allsky_rosat.fits',", " ... encoding='binary') as fobj: # doctest: +REMOTE_DATA", ' ... fcontents = fobj.read()', ' ...', ' Downloading http://data.astropy.org/allsky/allsky_rosat.fits [Done]', '', 'This does the same thing but does *not* cache it locally::', '', " >>> with get_pkg_data_fileobj('allsky/allsky_rosat.fits',", " ... encoding='binary', cache=False) as fobj: # doctest: +REMOTE_DATA", ' ... fcontents = fobj.read()', ' ...', ' Downloading http://data.astropy.org/allsky/allsky_rosat.fits [Done]']:34: WARNING: py:obj reference target not found: None ['get_pkg_data_fileobj(data_name, package=None, encoding=None, cache=True)', ':module: astropy.utils.data', '', '', '', 'Retrieves a data file from the standard locations for the package and', 'provides the file as a file-like object that reads bytes.', '', '', ':Parameters:', '', ' **data_name** : str', '', ' Name/location of the desired data file. One of the following:', ' ', ' * The name of a data file included in the source', ' distribution. The path is relative to the module', ' calling this function. For example, if calling from', " ``astropy.pkname``, use ``'data/file.dat'`` to get the", ' file in ``astropy/pkgname/data/file.dat``. Double-dots', ' can be used to go up a level. In the same example, use', " ``'../data/file.dat'`` to get ``astropy/data/file.dat``.", ' * If a matching local file does not exist, the Astropy', ' data server will be queried for the file.', ' * A hash like that produced by `compute_hash` can be', " requested, prefixed by 'hash/'", " e.g. 'hash/34c33b3eb0d56eb9462003af249eff28'. The hash", ' will first be searched for locally, and if not found,', ' the Astropy data server will be queried.', ' ', '', ' **package** : str, optional', '', ' If specified, look for a file relative to the given package, rather', " than the default of looking relative to the calling module's package.", ' ', '', ' **encoding** : str, optional', '', ' When `None` (default), returns a file-like object with a', ' ``read`` method that on Python 2.x returns `bytes` objects and', ' on Python 3.x returns `str` (``unicode``) objects, using', ' `locale.getpreferredencoding` as an encoding. This matches', ' the default behavior of the built-in `open` when no ``mode``', ' argument is provided.', ' ', " When ``'binary'``, returns a file-like object where its ``read``", ' method returns `bytes` objects.', ' ', ' When another string, it is the name of an encoding, and the', " file-like object's ``read`` method will return `str` (``unicode``)", ' objects, decoded from binary using the given encoding.', ' ', '', ' **cache** : bool', '', ' If True, the file will be downloaded and saved locally or the', ' already-cached local copy will be accessed. If False, the', ' file-like object will directly access the resource (e.g. if a', ' remote URL is accessed, an object like that from', ' `urllib2.urlopen` on Python 2 or `urllib.request.urlopen` on', ' Python 3 is returned).', '', ':Returns:', '', ' **fileobj** : file-like', '', ' An object with the contents of the data file available via', ' ``read`` function. Can be used as part of a ``with`` statement,', ' automatically closing itself after the ``with`` block.', '', ':Raises:', '', ' **urllib2.URLError, urllib.error.URLError**', '', ' If a remote file cannot be found.', '', ' **IOError**', '', ' If problems occur writing or reading a local file.', '', '.. seealso::', '', ' ', ' :obj:`get_pkg_data_contents`', ' returns the contents of a file or url as a bytes object', ' ', ' :obj:`get_pkg_data_filename`', ' returns a local name for a file containing the data', ' ', '.. rubric:: Examples', '', '', 'This will retrieve a data file and its contents for the `astropy.wcs`', 'tests::', '', ' >>> from astropy.utils.data import get_pkg_data_fileobj', " >>> with get_pkg_data_fileobj('data/3d_cd.hdr',", " ... package='astropy.wcs.tests') as fobj:", ' ... fcontents = fobj.read()', ' ...', '', 'This next example would download a data file from the astropy data server', 'because the ``allsky/allsky_rosat.fits`` file is not present in the', 'source distribution. It will also save the file locally so the', "next time it is accessed it won't need to be downloaded.::", '', ' >>> from astropy.utils.data import get_pkg_data_fileobj', " >>> with get_pkg_data_fileobj('allsky/allsky_rosat.fits',", " ... encoding='binary') as fobj: # doctest: +REMOTE_DATA", ' ... fcontents = fobj.read()', ' ...', ' Downloading http://data.astropy.org/allsky/allsky_rosat.fits [Done]', '', 'This does the same thing but does *not* cache it locally::', '', " >>> with get_pkg_data_fileobj('allsky/allsky_rosat.fits',", " ... encoding='binary', cache=False) as fobj: # doctest: +REMOTE_DATA", ' ... fcontents = fobj.read()', ' ...', ' Downloading http://data.astropy.org/allsky/allsky_rosat.fits [Done]']:34: WARNING: py:obj reference target not found: bytes ['get_pkg_data_fileobj(data_name, package=None, encoding=None, cache=True)', ':module: astropy.utils.data', '', '', '', 'Retrieves a data file from the standard locations for the package and', 'provides the file as a file-like object that reads bytes.', '', '', ':Parameters:', '', ' **data_name** : str', '', ' Name/location of the desired data file. One of the following:', ' ', ' * The name of a data file included in the source', ' distribution. The path is relative to the module', ' calling this function. For example, if calling from', " ``astropy.pkname``, use ``'data/file.dat'`` to get the", ' file in ``astropy/pkgname/data/file.dat``. Double-dots', ' can be used to go up a level. In the same example, use', " ``'../data/file.dat'`` to get ``astropy/data/file.dat``.", ' * If a matching local file does not exist, the Astropy', ' data server will be queried for the file.', ' * A hash like that produced by `compute_hash` can be', " requested, prefixed by 'hash/'", " e.g. 'hash/34c33b3eb0d56eb9462003af249eff28'. The hash", ' will first be searched for locally, and if not found,', ' the Astropy data server will be queried.', ' ', '', ' **package** : str, optional', '', ' If specified, look for a file relative to the given package, rather', " than the default of looking relative to the calling module's package.", ' ', '', ' **encoding** : str, optional', '', ' When `None` (default), returns a file-like object with a', ' ``read`` method that on Python 2.x returns `bytes` objects and', ' on Python 3.x returns `str` (``unicode``) objects, using', ' `locale.getpreferredencoding` as an encoding. This matches', ' the default behavior of the built-in `open` when no ``mode``', ' argument is provided.', ' ', " When ``'binary'``, returns a file-like object where its ``read``", ' method returns `bytes` objects.', ' ', ' When another string, it is the name of an encoding, and the', " file-like object's ``read`` method will return `str` (``unicode``)", ' objects, decoded from binary using the given encoding.', ' ', '', ' **cache** : bool', '', ' If True, the file will be downloaded and saved locally or the', ' already-cached local copy will be accessed. If False, the', ' file-like object will directly access the resource (e.g. if a', ' remote URL is accessed, an object like that from', ' `urllib2.urlopen` on Python 2 or `urllib.request.urlopen` on', ' Python 3 is returned).', '', ':Returns:', '', ' **fileobj** : file-like', '', ' An object with the contents of the data file available via', ' ``read`` function. Can be used as part of a ``with`` statement,', ' automatically closing itself after the ``with`` block.', '', ':Raises:', '', ' **urllib2.URLError, urllib.error.URLError**', '', ' If a remote file cannot be found.', '', ' **IOError**', '', ' If problems occur writing or reading a local file.', '', '.. seealso::', '', ' ', ' :obj:`get_pkg_data_contents`', ' returns the contents of a file or url as a bytes object', ' ', ' :obj:`get_pkg_data_filename`', ' returns a local name for a file containing the data', ' ', '.. rubric:: Examples', '', '', 'This will retrieve a data file and its contents for the `astropy.wcs`', 'tests::', '', ' >>> from astropy.utils.data import get_pkg_data_fileobj', " >>> with get_pkg_data_fileobj('data/3d_cd.hdr',", " ... package='astropy.wcs.tests') as fobj:", ' ... fcontents = fobj.read()', ' ...', '', 'This next example would download a data file from the astropy data server', 'because the ``allsky/allsky_rosat.fits`` file is not present in the', 'source distribution. It will also save the file locally so the', "next time it is accessed it won't need to be downloaded.::", '', ' >>> from astropy.utils.data import get_pkg_data_fileobj', " >>> with get_pkg_data_fileobj('allsky/allsky_rosat.fits',", " ... encoding='binary') as fobj: # doctest: +REMOTE_DATA", ' ... fcontents = fobj.read()', ' ...', ' Downloading http://data.astropy.org/allsky/allsky_rosat.fits [Done]', '', 'This does the same thing but does *not* cache it locally::', '', " >>> with get_pkg_data_fileobj('allsky/allsky_rosat.fits',", " ... encoding='binary', cache=False) as fobj: # doctest: +REMOTE_DATA", ' ... fcontents = fobj.read()', ' ...', ' Downloading http://data.astropy.org/allsky/allsky_rosat.fits [Done]']:34: WARNING: py:obj reference target not found: str ['get_pkg_data_fileobj(data_name, package=None, encoding=None, cache=True)', ':module: astropy.utils.data', '', '', '', 'Retrieves a data file from the standard locations for the package and', 'provides the file as a file-like object that reads bytes.', '', '', ':Parameters:', '', ' **data_name** : str', '', ' Name/location of the desired data file. One of the following:', ' ', ' * The name of a data file included in the source', ' distribution. The path is relative to the module', ' calling this function. For example, if calling from', " ``astropy.pkname``, use ``'data/file.dat'`` to get the", ' file in ``astropy/pkgname/data/file.dat``. Double-dots', ' can be used to go up a level. In the same example, use', " ``'../data/file.dat'`` to get ``astropy/data/file.dat``.", ' * If a matching local file does not exist, the Astropy', ' data server will be queried for the file.', ' * A hash like that produced by `compute_hash` can be', " requested, prefixed by 'hash/'", " e.g. 'hash/34c33b3eb0d56eb9462003af249eff28'. The hash", ' will first be searched for locally, and if not found,', ' the Astropy data server will be queried.', ' ', '', ' **package** : str, optional', '', ' If specified, look for a file relative to the given package, rather', " than the default of looking relative to the calling module's package.", ' ', '', ' **encoding** : str, optional', '', ' When `None` (default), returns a file-like object with a', ' ``read`` method that on Python 2.x returns `bytes` objects and', ' on Python 3.x returns `str` (``unicode``) objects, using', ' `locale.getpreferredencoding` as an encoding. This matches', ' the default behavior of the built-in `open` when no ``mode``', ' argument is provided.', ' ', " When ``'binary'``, returns a file-like object where its ``read``", ' method returns `bytes` objects.', ' ', ' When another string, it is the name of an encoding, and the', " file-like object's ``read`` method will return `str` (``unicode``)", ' objects, decoded from binary using the given encoding.', ' ', '', ' **cache** : bool', '', ' If True, the file will be downloaded and saved locally or the', ' already-cached local copy will be accessed. If False, the', ' file-like object will directly access the resource (e.g. if a', ' remote URL is accessed, an object like that from', ' `urllib2.urlopen` on Python 2 or `urllib.request.urlopen` on', ' Python 3 is returned).', '', ':Returns:', '', ' **fileobj** : file-like', '', ' An object with the contents of the data file available via', ' ``read`` function. Can be used as part of a ``with`` statement,', ' automatically closing itself after the ``with`` block.', '', ':Raises:', '', ' **urllib2.URLError, urllib.error.URLError**', '', ' If a remote file cannot be found.', '', ' **IOError**', '', ' If problems occur writing or reading a local file.', '', '.. seealso::', '', ' ', ' :obj:`get_pkg_data_contents`', ' returns the contents of a file or url as a bytes object', ' ', ' :obj:`get_pkg_data_filename`', ' returns a local name for a file containing the data', ' ', '.. rubric:: Examples', '', '', 'This will retrieve a data file and its contents for the `astropy.wcs`', 'tests::', '', ' >>> from astropy.utils.data import get_pkg_data_fileobj', " >>> with get_pkg_data_fileobj('data/3d_cd.hdr',", " ... package='astropy.wcs.tests') as fobj:", ' ... fcontents = fobj.read()', ' ...', '', 'This next example would download a data file from the astropy data server', 'because the ``allsky/allsky_rosat.fits`` file is not present in the', 'source distribution. It will also save the file locally so the', "next time it is accessed it won't need to be downloaded.::", '', ' >>> from astropy.utils.data import get_pkg_data_fileobj', " >>> with get_pkg_data_fileobj('allsky/allsky_rosat.fits',", " ... encoding='binary') as fobj: # doctest: +REMOTE_DATA", ' ... fcontents = fobj.read()', ' ...', ' Downloading http://data.astropy.org/allsky/allsky_rosat.fits [Done]', '', 'This does the same thing but does *not* cache it locally::', '', " >>> with get_pkg_data_fileobj('allsky/allsky_rosat.fits',", " ... encoding='binary', cache=False) as fobj: # doctest: +REMOTE_DATA", ' ... fcontents = fobj.read()', ' ...', ' Downloading http://data.astropy.org/allsky/allsky_rosat.fits [Done]']:34: WARNING: py:obj reference target not found: locale.getpreferredencoding ['get_pkg_data_fileobj(data_name, package=None, encoding=None, cache=True)', ':module: astropy.utils.data', '', '', '', 'Retrieves a data file from the standard locations for the package and', 'provides the file as a file-like object that reads bytes.', '', '', ':Parameters:', '', ' **data_name** : str', '', ' Name/location of the desired data file. One of the following:', ' ', ' * The name of a data file included in the source', ' distribution. The path is relative to the module', ' calling this function. For example, if calling from', " ``astropy.pkname``, use ``'data/file.dat'`` to get the", ' file in ``astropy/pkgname/data/file.dat``. Double-dots', ' can be used to go up a level. In the same example, use', " ``'../data/file.dat'`` to get ``astropy/data/file.dat``.", ' * If a matching local file does not exist, the Astropy', ' data server will be queried for the file.', ' * A hash like that produced by `compute_hash` can be', " requested, prefixed by 'hash/'", " e.g. 'hash/34c33b3eb0d56eb9462003af249eff28'. The hash", ' will first be searched for locally, and if not found,', ' the Astropy data server will be queried.', ' ', '', ' **package** : str, optional', '', ' If specified, look for a file relative to the given package, rather', " than the default of looking relative to the calling module's package.", ' ', '', ' **encoding** : str, optional', '', ' When `None` (default), returns a file-like object with a', ' ``read`` method that on Python 2.x returns `bytes` objects and', ' on Python 3.x returns `str` (``unicode``) objects, using', ' `locale.getpreferredencoding` as an encoding. This matches', ' the default behavior of the built-in `open` when no ``mode``', ' argument is provided.', ' ', " When ``'binary'``, returns a file-like object where its ``read``", ' method returns `bytes` objects.', ' ', ' When another string, it is the name of an encoding, and the', " file-like object's ``read`` method will return `str` (``unicode``)", ' objects, decoded from binary using the given encoding.', ' ', '', ' **cache** : bool', '', ' If True, the file will be downloaded and saved locally or the', ' already-cached local copy will be accessed. If False, the', ' file-like object will directly access the resource (e.g. if a', ' remote URL is accessed, an object like that from', ' `urllib2.urlopen` on Python 2 or `urllib.request.urlopen` on', ' Python 3 is returned).', '', ':Returns:', '', ' **fileobj** : file-like', '', ' An object with the contents of the data file available via', ' ``read`` function. Can be used as part of a ``with`` statement,', ' automatically closing itself after the ``with`` block.', '', ':Raises:', '', ' **urllib2.URLError, urllib.error.URLError**', '', ' If a remote file cannot be found.', '', ' **IOError**', '', ' If problems occur writing or reading a local file.', '', '.. seealso::', '', ' ', ' :obj:`get_pkg_data_contents`', ' returns the contents of a file or url as a bytes object', ' ', ' :obj:`get_pkg_data_filename`', ' returns a local name for a file containing the data', ' ', '.. rubric:: Examples', '', '', 'This will retrieve a data file and its contents for the `astropy.wcs`', 'tests::', '', ' >>> from astropy.utils.data import get_pkg_data_fileobj', " >>> with get_pkg_data_fileobj('data/3d_cd.hdr',", " ... package='astropy.wcs.tests') as fobj:", ' ... fcontents = fobj.read()', ' ...', '', 'This next example would download a data file from the astropy data server', 'because the ``allsky/allsky_rosat.fits`` file is not present in the', 'source distribution. It will also save the file locally so the', "next time it is accessed it won't need to be downloaded.::", '', ' >>> from astropy.utils.data import get_pkg_data_fileobj', " >>> with get_pkg_data_fileobj('allsky/allsky_rosat.fits',", " ... encoding='binary') as fobj: # doctest: +REMOTE_DATA", ' ... fcontents = fobj.read()', ' ...', ' Downloading http://data.astropy.org/allsky/allsky_rosat.fits [Done]', '', 'This does the same thing but does *not* cache it locally::', '', " >>> with get_pkg_data_fileobj('allsky/allsky_rosat.fits',", " ... encoding='binary', cache=False) as fobj: # doctest: +REMOTE_DATA", ' ... fcontents = fobj.read()', ' ...', ' Downloading http://data.astropy.org/allsky/allsky_rosat.fits [Done]']:34: WARNING: py:obj reference target not found: open ['get_pkg_data_fileobj(data_name, package=None, encoding=None, cache=True)', ':module: astropy.utils.data', '', '', '', 'Retrieves a data file from the standard locations for the package and', 'provides the file as a file-like object that reads bytes.', '', '', ':Parameters:', '', ' **data_name** : str', '', ' Name/location of the desired data file. One of the following:', ' ', ' * The name of a data file included in the source', ' distribution. The path is relative to the module', ' calling this function. For example, if calling from', " ``astropy.pkname``, use ``'data/file.dat'`` to get the", ' file in ``astropy/pkgname/data/file.dat``. Double-dots', ' can be used to go up a level. In the same example, use', " ``'../data/file.dat'`` to get ``astropy/data/file.dat``.", ' * If a matching local file does not exist, the Astropy', ' data server will be queried for the file.', ' * A hash like that produced by `compute_hash` can be', " requested, prefixed by 'hash/'", " e.g. 'hash/34c33b3eb0d56eb9462003af249eff28'. The hash", ' will first be searched for locally, and if not found,', ' the Astropy data server will be queried.', ' ', '', ' **package** : str, optional', '', ' If specified, look for a file relative to the given package, rather', " than the default of looking relative to the calling module's package.", ' ', '', ' **encoding** : str, optional', '', ' When `None` (default), returns a file-like object with a', ' ``read`` method that on Python 2.x returns `bytes` objects and', ' on Python 3.x returns `str` (``unicode``) objects, using', ' `locale.getpreferredencoding` as an encoding. This matches', ' the default behavior of the built-in `open` when no ``mode``', ' argument is provided.', ' ', " When ``'binary'``, returns a file-like object where its ``read``", ' method returns `bytes` objects.', ' ', ' When another string, it is the name of an encoding, and the', " file-like object's ``read`` method will return `str` (``unicode``)", ' objects, decoded from binary using the given encoding.', ' ', '', ' **cache** : bool', '', ' If True, the file will be downloaded and saved locally or the', ' already-cached local copy will be accessed. If False, the', ' file-like object will directly access the resource (e.g. if a', ' remote URL is accessed, an object like that from', ' `urllib2.urlopen` on Python 2 or `urllib.request.urlopen` on', ' Python 3 is returned).', '', ':Returns:', '', ' **fileobj** : file-like', '', ' An object with the contents of the data file available via', ' ``read`` function. Can be used as part of a ``with`` statement,', ' automatically closing itself after the ``with`` block.', '', ':Raises:', '', ' **urllib2.URLError, urllib.error.URLError**', '', ' If a remote file cannot be found.', '', ' **IOError**', '', ' If problems occur writing or reading a local file.', '', '.. seealso::', '', ' ', ' :obj:`get_pkg_data_contents`', ' returns the contents of a file or url as a bytes object', ' ', ' :obj:`get_pkg_data_filename`', ' returns a local name for a file containing the data', ' ', '.. rubric:: Examples', '', '', 'This will retrieve a data file and its contents for the `astropy.wcs`', 'tests::', '', ' >>> from astropy.utils.data import get_pkg_data_fileobj', " >>> with get_pkg_data_fileobj('data/3d_cd.hdr',", " ... package='astropy.wcs.tests') as fobj:", ' ... fcontents = fobj.read()', ' ...', '', 'This next example would download a data file from the astropy data server', 'because the ``allsky/allsky_rosat.fits`` file is not present in the', 'source distribution. It will also save the file locally so the', "next time it is accessed it won't need to be downloaded.::", '', ' >>> from astropy.utils.data import get_pkg_data_fileobj', " >>> with get_pkg_data_fileobj('allsky/allsky_rosat.fits',", " ... encoding='binary') as fobj: # doctest: +REMOTE_DATA", ' ... fcontents = fobj.read()', ' ...', ' Downloading http://data.astropy.org/allsky/allsky_rosat.fits [Done]', '', 'This does the same thing but does *not* cache it locally::', '', " >>> with get_pkg_data_fileobj('allsky/allsky_rosat.fits',", " ... encoding='binary', cache=False) as fobj: # doctest: +REMOTE_DATA", ' ... fcontents = fobj.read()', ' ...', ' Downloading http://data.astropy.org/allsky/allsky_rosat.fits [Done]']:41: WARNING: py:obj reference target not found: bytes ['get_pkg_data_fileobj(data_name, package=None, encoding=None, cache=True)', ':module: astropy.utils.data', '', '', '', 'Retrieves a data file from the standard locations for the package and', 'provides the file as a file-like object that reads bytes.', '', '', ':Parameters:', '', ' **data_name** : str', '', ' Name/location of the desired data file. One of the following:', ' ', ' * The name of a data file included in the source', ' distribution. The path is relative to the module', ' calling this function. For example, if calling from', " ``astropy.pkname``, use ``'data/file.dat'`` to get the", ' file in ``astropy/pkgname/data/file.dat``. Double-dots', ' can be used to go up a level. In the same example, use', " ``'../data/file.dat'`` to get ``astropy/data/file.dat``.", ' * If a matching local file does not exist, the Astropy', ' data server will be queried for the file.', ' * A hash like that produced by `compute_hash` can be', " requested, prefixed by 'hash/'", " e.g. 'hash/34c33b3eb0d56eb9462003af249eff28'. The hash", ' will first be searched for locally, and if not found,', ' the Astropy data server will be queried.', ' ', '', ' **package** : str, optional', '', ' If specified, look for a file relative to the given package, rather', " than the default of looking relative to the calling module's package.", ' ', '', ' **encoding** : str, optional', '', ' When `None` (default), returns a file-like object with a', ' ``read`` method that on Python 2.x returns `bytes` objects and', ' on Python 3.x returns `str` (``unicode``) objects, using', ' `locale.getpreferredencoding` as an encoding. This matches', ' the default behavior of the built-in `open` when no ``mode``', ' argument is provided.', ' ', " When ``'binary'``, returns a file-like object where its ``read``", ' method returns `bytes` objects.', ' ', ' When another string, it is the name of an encoding, and the', " file-like object's ``read`` method will return `str` (``unicode``)", ' objects, decoded from binary using the given encoding.', ' ', '', ' **cache** : bool', '', ' If True, the file will be downloaded and saved locally or the', ' already-cached local copy will be accessed. If False, the', ' file-like object will directly access the resource (e.g. if a', ' remote URL is accessed, an object like that from', ' `urllib2.urlopen` on Python 2 or `urllib.request.urlopen` on', ' Python 3 is returned).', '', ':Returns:', '', ' **fileobj** : file-like', '', ' An object with the contents of the data file available via', ' ``read`` function. Can be used as part of a ``with`` statement,', ' automatically closing itself after the ``with`` block.', '', ':Raises:', '', ' **urllib2.URLError, urllib.error.URLError**', '', ' If a remote file cannot be found.', '', ' **IOError**', '', ' If problems occur writing or reading a local file.', '', '.. seealso::', '', ' ', ' :obj:`get_pkg_data_contents`', ' returns the contents of a file or url as a bytes object', ' ', ' :obj:`get_pkg_data_filename`', ' returns a local name for a file containing the data', ' ', '.. rubric:: Examples', '', '', 'This will retrieve a data file and its contents for the `astropy.wcs`', 'tests::', '', ' >>> from astropy.utils.data import get_pkg_data_fileobj', " >>> with get_pkg_data_fileobj('data/3d_cd.hdr',", " ... package='astropy.wcs.tests') as fobj:", ' ... fcontents = fobj.read()', ' ...', '', 'This next example would download a data file from the astropy data server', 'because the ``allsky/allsky_rosat.fits`` file is not present in the', 'source distribution. It will also save the file locally so the', "next time it is accessed it won't need to be downloaded.::", '', ' >>> from astropy.utils.data import get_pkg_data_fileobj', " >>> with get_pkg_data_fileobj('allsky/allsky_rosat.fits',", " ... encoding='binary') as fobj: # doctest: +REMOTE_DATA", ' ... fcontents = fobj.read()', ' ...', ' Downloading http://data.astropy.org/allsky/allsky_rosat.fits [Done]', '', 'This does the same thing but does *not* cache it locally::', '', " >>> with get_pkg_data_fileobj('allsky/allsky_rosat.fits',", " ... encoding='binary', cache=False) as fobj: # doctest: +REMOTE_DATA", ' ... fcontents = fobj.read()', ' ...', ' Downloading http://data.astropy.org/allsky/allsky_rosat.fits [Done]']:44: WARNING: py:obj reference target not found: str ['get_pkg_data_fileobj(data_name, package=None, encoding=None, cache=True)', ':module: astropy.utils.data', '', '', '', 'Retrieves a data file from the standard locations for the package and', 'provides the file as a file-like object that reads bytes.', '', '', ':Parameters:', '', ' **data_name** : str', '', ' Name/location of the desired data file. One of the following:', ' ', ' * The name of a data file included in the source', ' distribution. The path is relative to the module', ' calling this function. For example, if calling from', " ``astropy.pkname``, use ``'data/file.dat'`` to get the", ' file in ``astropy/pkgname/data/file.dat``. Double-dots', ' can be used to go up a level. In the same example, use', " ``'../data/file.dat'`` to get ``astropy/data/file.dat``.", ' * If a matching local file does not exist, the Astropy', ' data server will be queried for the file.', ' * A hash like that produced by `compute_hash` can be', " requested, prefixed by 'hash/'", " e.g. 'hash/34c33b3eb0d56eb9462003af249eff28'. The hash", ' will first be searched for locally, and if not found,', ' the Astropy data server will be queried.', ' ', '', ' **package** : str, optional', '', ' If specified, look for a file relative to the given package, rather', " than the default of looking relative to the calling module's package.", ' ', '', ' **encoding** : str, optional', '', ' When `None` (default), returns a file-like object with a', ' ``read`` method that on Python 2.x returns `bytes` objects and', ' on Python 3.x returns `str` (``unicode``) objects, using', ' `locale.getpreferredencoding` as an encoding. This matches', ' the default behavior of the built-in `open` when no ``mode``', ' argument is provided.', ' ', " When ``'binary'``, returns a file-like object where its ``read``", ' method returns `bytes` objects.', ' ', ' When another string, it is the name of an encoding, and the', " file-like object's ``read`` method will return `str` (``unicode``)", ' objects, decoded from binary using the given encoding.', ' ', '', ' **cache** : bool', '', ' If True, the file will be downloaded and saved locally or the', ' already-cached local copy will be accessed. If False, the', ' file-like object will directly access the resource (e.g. if a', ' remote URL is accessed, an object like that from', ' `urllib2.urlopen` on Python 2 or `urllib.request.urlopen` on', ' Python 3 is returned).', '', ':Returns:', '', ' **fileobj** : file-like', '', ' An object with the contents of the data file available via', ' ``read`` function. Can be used as part of a ``with`` statement,', ' automatically closing itself after the ``with`` block.', '', ':Raises:', '', ' **urllib2.URLError, urllib.error.URLError**', '', ' If a remote file cannot be found.', '', ' **IOError**', '', ' If problems occur writing or reading a local file.', '', '.. seealso::', '', ' ', ' :obj:`get_pkg_data_contents`', ' returns the contents of a file or url as a bytes object', ' ', ' :obj:`get_pkg_data_filename`', ' returns a local name for a file containing the data', ' ', '.. rubric:: Examples', '', '', 'This will retrieve a data file and its contents for the `astropy.wcs`', 'tests::', '', ' >>> from astropy.utils.data import get_pkg_data_fileobj', " >>> with get_pkg_data_fileobj('data/3d_cd.hdr',", " ... package='astropy.wcs.tests') as fobj:", ' ... fcontents = fobj.read()', ' ...', '', 'This next example would download a data file from the astropy data server', 'because the ``allsky/allsky_rosat.fits`` file is not present in the', 'source distribution. It will also save the file locally so the', "next time it is accessed it won't need to be downloaded.::", '', ' >>> from astropy.utils.data import get_pkg_data_fileobj', " >>> with get_pkg_data_fileobj('allsky/allsky_rosat.fits',", " ... encoding='binary') as fobj: # doctest: +REMOTE_DATA", ' ... fcontents = fobj.read()', ' ...', ' Downloading http://data.astropy.org/allsky/allsky_rosat.fits [Done]', '', 'This does the same thing but does *not* cache it locally::', '', " >>> with get_pkg_data_fileobj('allsky/allsky_rosat.fits',", " ... encoding='binary', cache=False) as fobj: # doctest: +REMOTE_DATA", ' ... fcontents = fobj.read()', ' ...', ' Downloading http://data.astropy.org/allsky/allsky_rosat.fits [Done]']:50: WARNING: py:obj reference target not found: urllib.request.urlopen ["get_pkg_data_fileobjs(datadir, package=None, pattern='*', encoding=None)", ':module: astropy.utils.data', '', '', '', 'Returns readable file objects for all of the data files in a given', 'directory that match a given glob pattern.', '', '', ':Parameters:', '', ' **datadir** : str', '', ' Name/location of the desired data files. One of the following:', ' ', ' * The name of a directory included in the source', ' distribution. The path is relative to the module', ' calling this function. For example, if calling from', " ``astropy.pkname``, use ``'data'`` to get the", ' files in ``astropy/pkgname/data``', ' * Remote URLs are not currently supported', ' ', '', ' **package** : str, optional', '', ' If specified, look for a file relative to the given package, rather', " than the default of looking relative to the calling module's package.", ' ', '', ' **pattern** : str, optional', '', ' A UNIX-style filename glob pattern to match files. See the', ' `glob` module in the standard library for more information.', ' By default, matches all files.', ' ', '', ' **encoding** : str, optional', '', ' When `None` (default), returns a file-like object with a', ' ``read`` method that on Python 2.x returns `bytes` objects and', ' on Python 3.x returns `str` (``unicode``) objects, using', ' `locale.getpreferredencoding` as an encoding. This matches', ' the default behavior of the built-in `open` when no ``mode``', ' argument is provided.', ' ', " When ``'binary'``, returns a file-like object where its ``read``", ' method returns `bytes` objects.', ' ', ' When another string, it is the name of an encoding, and the', " file-like object's ``read`` method will return `str` (``unicode``)", ' objects, decoded from binary using the given encoding.', '', ':Returns:', '', ' **fileobjs** : iterator of file objects', '', ' File objects for each of the files on the local filesystem in', ' *datadir* matching *pattern*.', '', '.. rubric:: Examples', '', '', 'This will retrieve the contents of the data file for the `astropy.wcs`', 'tests::', '', ' >>> from astropy.utils.data import get_pkg_data_filenames', " >>> for fd in get_pkg_data_fileobjs('maps', 'astropy.wcs.tests',", " ... '*.hdr'):", ' ... fcontents = fd.read()', ' ...']:26: WARNING: py:obj reference target not found: glob ["get_pkg_data_fileobjs(datadir, package=None, pattern='*', encoding=None)", ':module: astropy.utils.data', '', '', '', 'Returns readable file objects for all of the data files in a given', 'directory that match a given glob pattern.', '', '', ':Parameters:', '', ' **datadir** : str', '', ' Name/location of the desired data files. One of the following:', ' ', ' * The name of a directory included in the source', ' distribution. The path is relative to the module', ' calling this function. For example, if calling from', " ``astropy.pkname``, use ``'data'`` to get the", ' files in ``astropy/pkgname/data``', ' * Remote URLs are not currently supported', ' ', '', ' **package** : str, optional', '', ' If specified, look for a file relative to the given package, rather', " than the default of looking relative to the calling module's package.", ' ', '', ' **pattern** : str, optional', '', ' A UNIX-style filename glob pattern to match files. See the', ' `glob` module in the standard library for more information.', ' By default, matches all files.', ' ', '', ' **encoding** : str, optional', '', ' When `None` (default), returns a file-like object with a', ' ``read`` method that on Python 2.x returns `bytes` objects and', ' on Python 3.x returns `str` (``unicode``) objects, using', ' `locale.getpreferredencoding` as an encoding. This matches', ' the default behavior of the built-in `open` when no ``mode``', ' argument is provided.', ' ', " When ``'binary'``, returns a file-like object where its ``read``", ' method returns `bytes` objects.', ' ', ' When another string, it is the name of an encoding, and the', " file-like object's ``read`` method will return `str` (``unicode``)", ' objects, decoded from binary using the given encoding.', '', ':Returns:', '', ' **fileobjs** : iterator of file objects', '', ' File objects for each of the files on the local filesystem in', ' *datadir* matching *pattern*.', '', '.. rubric:: Examples', '', '', 'This will retrieve the contents of the data file for the `astropy.wcs`', 'tests::', '', ' >>> from astropy.utils.data import get_pkg_data_filenames', " >>> for fd in get_pkg_data_fileobjs('maps', 'astropy.wcs.tests',", " ... '*.hdr'):", ' ... fcontents = fd.read()', ' ...']:32: WARNING: py:obj reference target not found: None ["get_pkg_data_fileobjs(datadir, package=None, pattern='*', encoding=None)", ':module: astropy.utils.data', '', '', '', 'Returns readable file objects for all of the data files in a given', 'directory that match a given glob pattern.', '', '', ':Parameters:', '', ' **datadir** : str', '', ' Name/location of the desired data files. One of the following:', ' ', ' * The name of a directory included in the source', ' distribution. The path is relative to the module', ' calling this function. For example, if calling from', " ``astropy.pkname``, use ``'data'`` to get the", ' files in ``astropy/pkgname/data``', ' * Remote URLs are not currently supported', ' ', '', ' **package** : str, optional', '', ' If specified, look for a file relative to the given package, rather', " than the default of looking relative to the calling module's package.", ' ', '', ' **pattern** : str, optional', '', ' A UNIX-style filename glob pattern to match files. See the', ' `glob` module in the standard library for more information.', ' By default, matches all files.', ' ', '', ' **encoding** : str, optional', '', ' When `None` (default), returns a file-like object with a', ' ``read`` method that on Python 2.x returns `bytes` objects and', ' on Python 3.x returns `str` (``unicode``) objects, using', ' `locale.getpreferredencoding` as an encoding. This matches', ' the default behavior of the built-in `open` when no ``mode``', ' argument is provided.', ' ', " When ``'binary'``, returns a file-like object where its ``read``", ' method returns `bytes` objects.', ' ', ' When another string, it is the name of an encoding, and the', " file-like object's ``read`` method will return `str` (``unicode``)", ' objects, decoded from binary using the given encoding.', '', ':Returns:', '', ' **fileobjs** : iterator of file objects', '', ' File objects for each of the files on the local filesystem in', ' *datadir* matching *pattern*.', '', '.. rubric:: Examples', '', '', 'This will retrieve the contents of the data file for the `astropy.wcs`', 'tests::', '', ' >>> from astropy.utils.data import get_pkg_data_filenames', " >>> for fd in get_pkg_data_fileobjs('maps', 'astropy.wcs.tests',", " ... '*.hdr'):", ' ... fcontents = fd.read()', ' ...']:32: WARNING: py:obj reference target not found: bytes ["get_pkg_data_fileobjs(datadir, package=None, pattern='*', encoding=None)", ':module: astropy.utils.data', '', '', '', 'Returns readable file objects for all of the data files in a given', 'directory that match a given glob pattern.', '', '', ':Parameters:', '', ' **datadir** : str', '', ' Name/location of the desired data files. One of the following:', ' ', ' * The name of a directory included in the source', ' distribution. The path is relative to the module', ' calling this function. For example, if calling from', " ``astropy.pkname``, use ``'data'`` to get the", ' files in ``astropy/pkgname/data``', ' * Remote URLs are not currently supported', ' ', '', ' **package** : str, optional', '', ' If specified, look for a file relative to the given package, rather', " than the default of looking relative to the calling module's package.", ' ', '', ' **pattern** : str, optional', '', ' A UNIX-style filename glob pattern to match files. See the', ' `glob` module in the standard library for more information.', ' By default, matches all files.', ' ', '', ' **encoding** : str, optional', '', ' When `None` (default), returns a file-like object with a', ' ``read`` method that on Python 2.x returns `bytes` objects and', ' on Python 3.x returns `str` (``unicode``) objects, using', ' `locale.getpreferredencoding` as an encoding. This matches', ' the default behavior of the built-in `open` when no ``mode``', ' argument is provided.', ' ', " When ``'binary'``, returns a file-like object where its ``read``", ' method returns `bytes` objects.', ' ', ' When another string, it is the name of an encoding, and the', " file-like object's ``read`` method will return `str` (``unicode``)", ' objects, decoded from binary using the given encoding.', '', ':Returns:', '', ' **fileobjs** : iterator of file objects', '', ' File objects for each of the files on the local filesystem in', ' *datadir* matching *pattern*.', '', '.. rubric:: Examples', '', '', 'This will retrieve the contents of the data file for the `astropy.wcs`', 'tests::', '', ' >>> from astropy.utils.data import get_pkg_data_filenames', " >>> for fd in get_pkg_data_fileobjs('maps', 'astropy.wcs.tests',", " ... '*.hdr'):", ' ... fcontents = fd.read()', ' ...']:32: WARNING: py:obj reference target not found: str ["get_pkg_data_fileobjs(datadir, package=None, pattern='*', encoding=None)", ':module: astropy.utils.data', '', '', '', 'Returns readable file objects for all of the data files in a given', 'directory that match a given glob pattern.', '', '', ':Parameters:', '', ' **datadir** : str', '', ' Name/location of the desired data files. One of the following:', ' ', ' * The name of a directory included in the source', ' distribution. The path is relative to the module', ' calling this function. For example, if calling from', " ``astropy.pkname``, use ``'data'`` to get the", ' files in ``astropy/pkgname/data``', ' * Remote URLs are not currently supported', ' ', '', ' **package** : str, optional', '', ' If specified, look for a file relative to the given package, rather', " than the default of looking relative to the calling module's package.", ' ', '', ' **pattern** : str, optional', '', ' A UNIX-style filename glob pattern to match files. See the', ' `glob` module in the standard library for more information.', ' By default, matches all files.', ' ', '', ' **encoding** : str, optional', '', ' When `None` (default), returns a file-like object with a', ' ``read`` method that on Python 2.x returns `bytes` objects and', ' on Python 3.x returns `str` (``unicode``) objects, using', ' `locale.getpreferredencoding` as an encoding. This matches', ' the default behavior of the built-in `open` when no ``mode``', ' argument is provided.', ' ', " When ``'binary'``, returns a file-like object where its ``read``", ' method returns `bytes` objects.', ' ', ' When another string, it is the name of an encoding, and the', " file-like object's ``read`` method will return `str` (``unicode``)", ' objects, decoded from binary using the given encoding.', '', ':Returns:', '', ' **fileobjs** : iterator of file objects', '', ' File objects for each of the files on the local filesystem in', ' *datadir* matching *pattern*.', '', '.. rubric:: Examples', '', '', 'This will retrieve the contents of the data file for the `astropy.wcs`', 'tests::', '', ' >>> from astropy.utils.data import get_pkg_data_filenames', " >>> for fd in get_pkg_data_fileobjs('maps', 'astropy.wcs.tests',", " ... '*.hdr'):", ' ... fcontents = fd.read()', ' ...']:32: WARNING: py:obj reference target not found: locale.getpreferredencoding ["get_pkg_data_fileobjs(datadir, package=None, pattern='*', encoding=None)", ':module: astropy.utils.data', '', '', '', 'Returns readable file objects for all of the data files in a given', 'directory that match a given glob pattern.', '', '', ':Parameters:', '', ' **datadir** : str', '', ' Name/location of the desired data files. One of the following:', ' ', ' * The name of a directory included in the source', ' distribution. The path is relative to the module', ' calling this function. For example, if calling from', " ``astropy.pkname``, use ``'data'`` to get the", ' files in ``astropy/pkgname/data``', ' * Remote URLs are not currently supported', ' ', '', ' **package** : str, optional', '', ' If specified, look for a file relative to the given package, rather', " than the default of looking relative to the calling module's package.", ' ', '', ' **pattern** : str, optional', '', ' A UNIX-style filename glob pattern to match files. See the', ' `glob` module in the standard library for more information.', ' By default, matches all files.', ' ', '', ' **encoding** : str, optional', '', ' When `None` (default), returns a file-like object with a', ' ``read`` method that on Python 2.x returns `bytes` objects and', ' on Python 3.x returns `str` (``unicode``) objects, using', ' `locale.getpreferredencoding` as an encoding. This matches', ' the default behavior of the built-in `open` when no ``mode``', ' argument is provided.', ' ', " When ``'binary'``, returns a file-like object where its ``read``", ' method returns `bytes` objects.', ' ', ' When another string, it is the name of an encoding, and the', " file-like object's ``read`` method will return `str` (``unicode``)", ' objects, decoded from binary using the given encoding.', '', ':Returns:', '', ' **fileobjs** : iterator of file objects', '', ' File objects for each of the files on the local filesystem in', ' *datadir* matching *pattern*.', '', '.. rubric:: Examples', '', '', 'This will retrieve the contents of the data file for the `astropy.wcs`', 'tests::', '', ' >>> from astropy.utils.data import get_pkg_data_filenames', " >>> for fd in get_pkg_data_fileobjs('maps', 'astropy.wcs.tests',", " ... '*.hdr'):", ' ... fcontents = fd.read()', ' ...']:32: WARNING: py:obj reference target not found: open ["get_pkg_data_fileobjs(datadir, package=None, pattern='*', encoding=None)", ':module: astropy.utils.data', '', '', '', 'Returns readable file objects for all of the data files in a given', 'directory that match a given glob pattern.', '', '', ':Parameters:', '', ' **datadir** : str', '', ' Name/location of the desired data files. One of the following:', ' ', ' * The name of a directory included in the source', ' distribution. The path is relative to the module', ' calling this function. For example, if calling from', " ``astropy.pkname``, use ``'data'`` to get the", ' files in ``astropy/pkgname/data``', ' * Remote URLs are not currently supported', ' ', '', ' **package** : str, optional', '', ' If specified, look for a file relative to the given package, rather', " than the default of looking relative to the calling module's package.", ' ', '', ' **pattern** : str, optional', '', ' A UNIX-style filename glob pattern to match files. See the', ' `glob` module in the standard library for more information.', ' By default, matches all files.', ' ', '', ' **encoding** : str, optional', '', ' When `None` (default), returns a file-like object with a', ' ``read`` method that on Python 2.x returns `bytes` objects and', ' on Python 3.x returns `str` (``unicode``) objects, using', ' `locale.getpreferredencoding` as an encoding. This matches', ' the default behavior of the built-in `open` when no ``mode``', ' argument is provided.', ' ', " When ``'binary'``, returns a file-like object where its ``read``", ' method returns `bytes` objects.', ' ', ' When another string, it is the name of an encoding, and the', " file-like object's ``read`` method will return `str` (``unicode``)", ' objects, decoded from binary using the given encoding.', '', ':Returns:', '', ' **fileobjs** : iterator of file objects', '', ' File objects for each of the files on the local filesystem in', ' *datadir* matching *pattern*.', '', '.. rubric:: Examples', '', '', 'This will retrieve the contents of the data file for the `astropy.wcs`', 'tests::', '', ' >>> from astropy.utils.data import get_pkg_data_filenames', " >>> for fd in get_pkg_data_fileobjs('maps', 'astropy.wcs.tests',", " ... '*.hdr'):", ' ... fcontents = fd.read()', ' ...']:39: WARNING: py:obj reference target not found: bytes ["get_pkg_data_fileobjs(datadir, package=None, pattern='*', encoding=None)", ':module: astropy.utils.data', '', '', '', 'Returns readable file objects for all of the data files in a given', 'directory that match a given glob pattern.', '', '', ':Parameters:', '', ' **datadir** : str', '', ' Name/location of the desired data files. One of the following:', ' ', ' * The name of a directory included in the source', ' distribution. The path is relative to the module', ' calling this function. For example, if calling from', " ``astropy.pkname``, use ``'data'`` to get the", ' files in ``astropy/pkgname/data``', ' * Remote URLs are not currently supported', ' ', '', ' **package** : str, optional', '', ' If specified, look for a file relative to the given package, rather', " than the default of looking relative to the calling module's package.", ' ', '', ' **pattern** : str, optional', '', ' A UNIX-style filename glob pattern to match files. See the', ' `glob` module in the standard library for more information.', ' By default, matches all files.', ' ', '', ' **encoding** : str, optional', '', ' When `None` (default), returns a file-like object with a', ' ``read`` method that on Python 2.x returns `bytes` objects and', ' on Python 3.x returns `str` (``unicode``) objects, using', ' `locale.getpreferredencoding` as an encoding. This matches', ' the default behavior of the built-in `open` when no ``mode``', ' argument is provided.', ' ', " When ``'binary'``, returns a file-like object where its ``read``", ' method returns `bytes` objects.', ' ', ' When another string, it is the name of an encoding, and the', " file-like object's ``read`` method will return `str` (``unicode``)", ' objects, decoded from binary using the given encoding.', '', ':Returns:', '', ' **fileobjs** : iterator of file objects', '', ' File objects for each of the files on the local filesystem in', ' *datadir* matching *pattern*.', '', '.. rubric:: Examples', '', '', 'This will retrieve the contents of the data file for the `astropy.wcs`', 'tests::', '', ' >>> from astropy.utils.data import get_pkg_data_filenames', " >>> for fd in get_pkg_data_fileobjs('maps', 'astropy.wcs.tests',", " ... '*.hdr'):", ' ... fcontents = fd.read()', ' ...']:42: WARNING: py:obj reference target not found: str ['get_readable_fileobj(name_or_obj, encoding=None, cache=False, show_progress=True, remote_timeout=None)', ':module: astropy.utils.data', '', '', '', 'Given a filename, pathlib.Path object or a readable file-like object, return a context', 'manager that yields a readable file-like object.', '', 'This supports passing filenames, URLs, and readable file-like objects,', 'any of which can be compressed in gzip, bzip2 or lzma (xz) if the', 'appropriate compression libraries are provided by the Python installation.', '', ':Parameters:', '', ' **name_or_obj** : str or file-like object', '', ' The filename of the file to access (if given as a string), or', ' the file-like object to access.', ' ', ' If a file-like object, it must be opened in binary mode.', ' ', '', ' **encoding** : str, optional', '', ' When `None` (default), returns a file-like object with a', ' ``read`` method that on Python 2.x returns `bytes` objects and', ' on Python 3.x returns `str` (``unicode``) objects, using', ' `locale.getpreferredencoding` as an encoding. This matches', ' the default behavior of the built-in `open` when no ``mode``', ' argument is provided.', ' ', " When ``'binary'``, returns a file-like object where its ``read``", ' method returns `bytes` objects.', ' ', ' When another string, it is the name of an encoding, and the', " file-like object's ``read`` method will return `str` (``unicode``)", ' objects, decoded from binary using the given encoding.', ' ', '', ' **cache** : bool, optional', '', ' Whether to cache the contents of remote URLs.', ' ', '', ' **show_progress** : bool, optional', '', ' Whether to display a progress bar if the file is downloaded', ' from a remote server. Default is `True`.', ' ', '', ' **remote_timeout** : float', '', ' Timeout for remote requests in seconds (default is the configurable', ' `astropy.utils.data.Conf.remote_timeout`, which is 3s by default)', '', ':Returns:', '', ' **file** : readable file-like object', '', ' ', '', '.. rubric:: Notes', '', '', 'This function is a context manager, and should be used for example', 'as::', '', " with get_readable_fileobj('file.dat') as f:", ' contents = f.read()']:21: WARNING: py:obj reference target not found: None ['get_readable_fileobj(name_or_obj, encoding=None, cache=False, show_progress=True, remote_timeout=None)', ':module: astropy.utils.data', '', '', '', 'Given a filename, pathlib.Path object or a readable file-like object, return a context', 'manager that yields a readable file-like object.', '', 'This supports passing filenames, URLs, and readable file-like objects,', 'any of which can be compressed in gzip, bzip2 or lzma (xz) if the', 'appropriate compression libraries are provided by the Python installation.', '', ':Parameters:', '', ' **name_or_obj** : str or file-like object', '', ' The filename of the file to access (if given as a string), or', ' the file-like object to access.', ' ', ' If a file-like object, it must be opened in binary mode.', ' ', '', ' **encoding** : str, optional', '', ' When `None` (default), returns a file-like object with a', ' ``read`` method that on Python 2.x returns `bytes` objects and', ' on Python 3.x returns `str` (``unicode``) objects, using', ' `locale.getpreferredencoding` as an encoding. This matches', ' the default behavior of the built-in `open` when no ``mode``', ' argument is provided.', ' ', " When ``'binary'``, returns a file-like object where its ``read``", ' method returns `bytes` objects.', ' ', ' When another string, it is the name of an encoding, and the', " file-like object's ``read`` method will return `str` (``unicode``)", ' objects, decoded from binary using the given encoding.', ' ', '', ' **cache** : bool, optional', '', ' Whether to cache the contents of remote URLs.', ' ', '', ' **show_progress** : bool, optional', '', ' Whether to display a progress bar if the file is downloaded', ' from a remote server. Default is `True`.', ' ', '', ' **remote_timeout** : float', '', ' Timeout for remote requests in seconds (default is the configurable', ' `astropy.utils.data.Conf.remote_timeout`, which is 3s by default)', '', ':Returns:', '', ' **file** : readable file-like object', '', ' ', '', '.. rubric:: Notes', '', '', 'This function is a context manager, and should be used for example', 'as::', '', " with get_readable_fileobj('file.dat') as f:", ' contents = f.read()']:21: WARNING: py:obj reference target not found: bytes ['get_readable_fileobj(name_or_obj, encoding=None, cache=False, show_progress=True, remote_timeout=None)', ':module: astropy.utils.data', '', '', '', 'Given a filename, pathlib.Path object or a readable file-like object, return a context', 'manager that yields a readable file-like object.', '', 'This supports passing filenames, URLs, and readable file-like objects,', 'any of which can be compressed in gzip, bzip2 or lzma (xz) if the', 'appropriate compression libraries are provided by the Python installation.', '', ':Parameters:', '', ' **name_or_obj** : str or file-like object', '', ' The filename of the file to access (if given as a string), or', ' the file-like object to access.', ' ', ' If a file-like object, it must be opened in binary mode.', ' ', '', ' **encoding** : str, optional', '', ' When `None` (default), returns a file-like object with a', ' ``read`` method that on Python 2.x returns `bytes` objects and', ' on Python 3.x returns `str` (``unicode``) objects, using', ' `locale.getpreferredencoding` as an encoding. This matches', ' the default behavior of the built-in `open` when no ``mode``', ' argument is provided.', ' ', " When ``'binary'``, returns a file-like object where its ``read``", ' method returns `bytes` objects.', ' ', ' When another string, it is the name of an encoding, and the', " file-like object's ``read`` method will return `str` (``unicode``)", ' objects, decoded from binary using the given encoding.', ' ', '', ' **cache** : bool, optional', '', ' Whether to cache the contents of remote URLs.', ' ', '', ' **show_progress** : bool, optional', '', ' Whether to display a progress bar if the file is downloaded', ' from a remote server. Default is `True`.', ' ', '', ' **remote_timeout** : float', '', ' Timeout for remote requests in seconds (default is the configurable', ' `astropy.utils.data.Conf.remote_timeout`, which is 3s by default)', '', ':Returns:', '', ' **file** : readable file-like object', '', ' ', '', '.. rubric:: Notes', '', '', 'This function is a context manager, and should be used for example', 'as::', '', " with get_readable_fileobj('file.dat') as f:", ' contents = f.read()']:21: WARNING: py:obj reference target not found: str ['get_readable_fileobj(name_or_obj, encoding=None, cache=False, show_progress=True, remote_timeout=None)', ':module: astropy.utils.data', '', '', '', 'Given a filename, pathlib.Path object or a readable file-like object, return a context', 'manager that yields a readable file-like object.', '', 'This supports passing filenames, URLs, and readable file-like objects,', 'any of which can be compressed in gzip, bzip2 or lzma (xz) if the', 'appropriate compression libraries are provided by the Python installation.', '', ':Parameters:', '', ' **name_or_obj** : str or file-like object', '', ' The filename of the file to access (if given as a string), or', ' the file-like object to access.', ' ', ' If a file-like object, it must be opened in binary mode.', ' ', '', ' **encoding** : str, optional', '', ' When `None` (default), returns a file-like object with a', ' ``read`` method that on Python 2.x returns `bytes` objects and', ' on Python 3.x returns `str` (``unicode``) objects, using', ' `locale.getpreferredencoding` as an encoding. This matches', ' the default behavior of the built-in `open` when no ``mode``', ' argument is provided.', ' ', " When ``'binary'``, returns a file-like object where its ``read``", ' method returns `bytes` objects.', ' ', ' When another string, it is the name of an encoding, and the', " file-like object's ``read`` method will return `str` (``unicode``)", ' objects, decoded from binary using the given encoding.', ' ', '', ' **cache** : bool, optional', '', ' Whether to cache the contents of remote URLs.', ' ', '', ' **show_progress** : bool, optional', '', ' Whether to display a progress bar if the file is downloaded', ' from a remote server. Default is `True`.', ' ', '', ' **remote_timeout** : float', '', ' Timeout for remote requests in seconds (default is the configurable', ' `astropy.utils.data.Conf.remote_timeout`, which is 3s by default)', '', ':Returns:', '', ' **file** : readable file-like object', '', ' ', '', '.. rubric:: Notes', '', '', 'This function is a context manager, and should be used for example', 'as::', '', " with get_readable_fileobj('file.dat') as f:", ' contents = f.read()']:21: WARNING: py:obj reference target not found: locale.getpreferredencoding ['get_readable_fileobj(name_or_obj, encoding=None, cache=False, show_progress=True, remote_timeout=None)', ':module: astropy.utils.data', '', '', '', 'Given a filename, pathlib.Path object or a readable file-like object, return a context', 'manager that yields a readable file-like object.', '', 'This supports passing filenames, URLs, and readable file-like objects,', 'any of which can be compressed in gzip, bzip2 or lzma (xz) if the', 'appropriate compression libraries are provided by the Python installation.', '', ':Parameters:', '', ' **name_or_obj** : str or file-like object', '', ' The filename of the file to access (if given as a string), or', ' the file-like object to access.', ' ', ' If a file-like object, it must be opened in binary mode.', ' ', '', ' **encoding** : str, optional', '', ' When `None` (default), returns a file-like object with a', ' ``read`` method that on Python 2.x returns `bytes` objects and', ' on Python 3.x returns `str` (``unicode``) objects, using', ' `locale.getpreferredencoding` as an encoding. This matches', ' the default behavior of the built-in `open` when no ``mode``', ' argument is provided.', ' ', " When ``'binary'``, returns a file-like object where its ``read``", ' method returns `bytes` objects.', ' ', ' When another string, it is the name of an encoding, and the', " file-like object's ``read`` method will return `str` (``unicode``)", ' objects, decoded from binary using the given encoding.', ' ', '', ' **cache** : bool, optional', '', ' Whether to cache the contents of remote URLs.', ' ', '', ' **show_progress** : bool, optional', '', ' Whether to display a progress bar if the file is downloaded', ' from a remote server. Default is `True`.', ' ', '', ' **remote_timeout** : float', '', ' Timeout for remote requests in seconds (default is the configurable', ' `astropy.utils.data.Conf.remote_timeout`, which is 3s by default)', '', ':Returns:', '', ' **file** : readable file-like object', '', ' ', '', '.. rubric:: Notes', '', '', 'This function is a context manager, and should be used for example', 'as::', '', " with get_readable_fileobj('file.dat') as f:", ' contents = f.read()']:21: WARNING: py:obj reference target not found: open ['get_readable_fileobj(name_or_obj, encoding=None, cache=False, show_progress=True, remote_timeout=None)', ':module: astropy.utils.data', '', '', '', 'Given a filename, pathlib.Path object or a readable file-like object, return a context', 'manager that yields a readable file-like object.', '', 'This supports passing filenames, URLs, and readable file-like objects,', 'any of which can be compressed in gzip, bzip2 or lzma (xz) if the', 'appropriate compression libraries are provided by the Python installation.', '', ':Parameters:', '', ' **name_or_obj** : str or file-like object', '', ' The filename of the file to access (if given as a string), or', ' the file-like object to access.', ' ', ' If a file-like object, it must be opened in binary mode.', ' ', '', ' **encoding** : str, optional', '', ' When `None` (default), returns a file-like object with a', ' ``read`` method that on Python 2.x returns `bytes` objects and', ' on Python 3.x returns `str` (``unicode``) objects, using', ' `locale.getpreferredencoding` as an encoding. This matches', ' the default behavior of the built-in `open` when no ``mode``', ' argument is provided.', ' ', " When ``'binary'``, returns a file-like object where its ``read``", ' method returns `bytes` objects.', ' ', ' When another string, it is the name of an encoding, and the', " file-like object's ``read`` method will return `str` (``unicode``)", ' objects, decoded from binary using the given encoding.', ' ', '', ' **cache** : bool, optional', '', ' Whether to cache the contents of remote URLs.', ' ', '', ' **show_progress** : bool, optional', '', ' Whether to display a progress bar if the file is downloaded', ' from a remote server. Default is `True`.', ' ', '', ' **remote_timeout** : float', '', ' Timeout for remote requests in seconds (default is the configurable', ' `astropy.utils.data.Conf.remote_timeout`, which is 3s by default)', '', ':Returns:', '', ' **file** : readable file-like object', '', ' ', '', '.. rubric:: Notes', '', '', 'This function is a context manager, and should be used for example', 'as::', '', " with get_readable_fileobj('file.dat') as f:", ' contents = f.read()']:28: WARNING: py:obj reference target not found: bytes ['get_readable_fileobj(name_or_obj, encoding=None, cache=False, show_progress=True, remote_timeout=None)', ':module: astropy.utils.data', '', '', '', 'Given a filename, pathlib.Path object or a readable file-like object, return a context', 'manager that yields a readable file-like object.', '', 'This supports passing filenames, URLs, and readable file-like objects,', 'any of which can be compressed in gzip, bzip2 or lzma (xz) if the', 'appropriate compression libraries are provided by the Python installation.', '', ':Parameters:', '', ' **name_or_obj** : str or file-like object', '', ' The filename of the file to access (if given as a string), or', ' the file-like object to access.', ' ', ' If a file-like object, it must be opened in binary mode.', ' ', '', ' **encoding** : str, optional', '', ' When `None` (default), returns a file-like object with a', ' ``read`` method that on Python 2.x returns `bytes` objects and', ' on Python 3.x returns `str` (``unicode``) objects, using', ' `locale.getpreferredencoding` as an encoding. This matches', ' the default behavior of the built-in `open` when no ``mode``', ' argument is provided.', ' ', " When ``'binary'``, returns a file-like object where its ``read``", ' method returns `bytes` objects.', ' ', ' When another string, it is the name of an encoding, and the', " file-like object's ``read`` method will return `str` (``unicode``)", ' objects, decoded from binary using the given encoding.', ' ', '', ' **cache** : bool, optional', '', ' Whether to cache the contents of remote URLs.', ' ', '', ' **show_progress** : bool, optional', '', ' Whether to display a progress bar if the file is downloaded', ' from a remote server. Default is `True`.', ' ', '', ' **remote_timeout** : float', '', ' Timeout for remote requests in seconds (default is the configurable', ' `astropy.utils.data.Conf.remote_timeout`, which is 3s by default)', '', ':Returns:', '', ' **file** : readable file-like object', '', ' ', '', '.. rubric:: Notes', '', '', 'This function is a context manager, and should be used for example', 'as::', '', " with get_readable_fileobj('file.dat') as f:", ' contents = f.read()']:31: WARNING: py:obj reference target not found: str ['get_readable_fileobj(name_or_obj, encoding=None, cache=False, show_progress=True, remote_timeout=None)', ':module: astropy.utils.data', '', '', '', 'Given a filename, pathlib.Path object or a readable file-like object, return a context', 'manager that yields a readable file-like object.', '', 'This supports passing filenames, URLs, and readable file-like objects,', 'any of which can be compressed in gzip, bzip2 or lzma (xz) if the', 'appropriate compression libraries are provided by the Python installation.', '', ':Parameters:', '', ' **name_or_obj** : str or file-like object', '', ' The filename of the file to access (if given as a string), or', ' the file-like object to access.', ' ', ' If a file-like object, it must be opened in binary mode.', ' ', '', ' **encoding** : str, optional', '', ' When `None` (default), returns a file-like object with a', ' ``read`` method that on Python 2.x returns `bytes` objects and', ' on Python 3.x returns `str` (``unicode``) objects, using', ' `locale.getpreferredencoding` as an encoding. This matches', ' the default behavior of the built-in `open` when no ``mode``', ' argument is provided.', ' ', " When ``'binary'``, returns a file-like object where its ``read``", ' method returns `bytes` objects.', ' ', ' When another string, it is the name of an encoding, and the', " file-like object's ``read`` method will return `str` (``unicode``)", ' objects, decoded from binary using the given encoding.', ' ', '', ' **cache** : bool, optional', '', ' Whether to cache the contents of remote URLs.', ' ', '', ' **show_progress** : bool, optional', '', ' Whether to display a progress bar if the file is downloaded', ' from a remote server. Default is `True`.', ' ', '', ' **remote_timeout** : float', '', ' Timeout for remote requests in seconds (default is the configurable', ' `astropy.utils.data.Conf.remote_timeout`, which is 3s by default)', '', ':Returns:', '', ' **file** : readable file-like object', '', ' ', '', '.. rubric:: Notes', '', '', 'This function is a context manager, and should be used for example', 'as::', '', " with get_readable_fileobj('file.dat') as f:", ' contents = f.read()']:41: WARNING: py:obj reference target not found: True ['is_url_in_cache(url_key)', ':module: astropy.utils.data', '', '', '', 'Check if a download from ``url_key`` is in the cache.', '', '', ':Parameters:', '', ' **url_key** : string', '', ' The URL retrieved', '', ':Returns:', '', ' **in_cache** : bool', '', ' `True` if a download from ``url_key`` is in the cache']:15: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.utils.data_info.DataInfo.rst:7: WARNING: py:class reference target not found: object /<>/docs/api/astropy.utils.decorators.classproperty.rst:7: WARNING: py:class reference target not found: property /<>/docs/api/astropy.utils.decorators.classproperty.rst:9: WARNING: py:obj reference target not found: property /<>/docs/api/astropy.utils.decorators.classproperty.rst:9: WARNING: py:obj reference target not found: classmethod /<>/docs/api/astropy.utils.decorators.classproperty.rst:12: WARNING: py:obj reference target not found: classmethod /<>/docs/api/astropy.utils.decorators.classproperty.rst:12: WARNING: py:obj reference target not found: classmethod /<>/docs/api/astropy.utils.decorators.classproperty.rst:27: WARNING: py:obj reference target not found: property ['deprecated_renamed_argument(old_name, new_name, since, arg_in_kwargs=False, relax=False, pending=False)', ':module: astropy.utils.decorators', '', '', '', 'Deprecate a _renamed_ function argument.', '', 'The decorator assumes that the argument with the ``old_name`` was removed', 'from the function signature and the ``new_name`` replaced it at the', '**same position** in the signature. If the ``old_name`` argument is', 'given when calling the decorated function the decorator will catch it and', 'issue a deprecation warning and pass it on as ``new_name`` argument.', '', ':Parameters:', '', ' **old_name** : str or list/tuple thereof', '', ' The old name of the argument.', ' ', '', ' **new_name** : str or list/tuple thereof', '', ' The new name of the argument.', ' ', '', ' **since** : str or number or list/tuple thereof', '', ' The release at which the old argument became deprecated.', ' ', '', ' **arg_in_kwargs** : bool or list/tuple thereof, optional', '', ' If the argument is not a named argument (for example it', ' was meant to be consumed by ``**kwargs``) set this to', ' ``True``. Otherwise the decorator will throw an Exception', ' if the ``new_name`` cannot be found in the signature of', ' the decorated function.', ' Default is ``False``.', ' ', '', ' **relax** : bool or list/tuple thereof, optional', '', ' If ``False`` a ``TypeError`` is raised if both ``new_name`` and', ' ``old_name`` are given. If ``True`` the value for ``new_name`` is used', ' and a Warning is issued.', ' Default is ``False``.', ' ', '', ' **pending** : bool or list/tuple thereof, optional', '', ' If ``True`` this will hide the deprecation warning and ignore the', ' corresponding ``relax`` parameter value.', ' Default is ``False``.', '', ':Raises:', '', ' **TypeError**', '', ' If the new argument name cannot be found in the function', ' signature and arg_in_kwargs was False or if it is used to', ' deprecate the name of the ``*args``-, ``**kwargs``-like arguments.', ' At runtime such an Error is raised if both the new_name', ' and old_name were specified when calling the function and', ' "relax=False".', '', '.. rubric:: Notes', '', '', 'The decorator should be applied to a function where the **name**', 'of an argument was changed but it applies the same logic.', '', '.. warning::', ' If ``old_name`` is a list or tuple the ``new_name`` and ``since`` must', ' also be a list or tuple with the same number of entries. ``relax`` and', ' ``arg_in_kwarg`` can be a single bool (applied to all) or also a', ' list/tuple with the same number of entries like ``new_name``, etc.', '', '.. rubric:: Examples', '', '', 'The deprecation warnings are not shown in the following examples.', '', 'To deprecate a positional or keyword argument::', '', ' >>> from astropy.utils.decorators import deprecated_renamed_argument', " >>> @deprecated_renamed_argument('sig', 'sigma', '1.0')", ' ... def test(sigma):', ' ... return sigma', '', ' >>> test(2)', ' 2', ' >>> test(sigma=2)', ' 2', ' >>> test(sig=2)', ' 2', '', 'To deprecate an argument catched inside the ``**kwargs`` the', '``arg_in_kwargs`` has to be set::', '', " >>> @deprecated_renamed_argument('sig', 'sigma', '1.0',", ' ... arg_in_kwargs=True)', ' ... def test(**kwargs):', " ... return kwargs['sigma']", '', ' >>> test(sigma=2)', ' 2', ' >>> test(sig=2)', ' 2', '', 'By default providing the new and old keyword will lead to an Exception. If', 'a Warning is desired set the ``relax`` argument::', '', " >>> @deprecated_renamed_argument('sig', 'sigma', '1.0', relax=True)", ' ... def test(sigma):', ' ... return sigma', '', ' >>> test(sig=2)', ' 2', '', 'It is also possible to replace multiple arguments. The ``old_name``,', '``new_name`` and ``since`` have to be `tuple` or `list` and contain the', 'same number of entries::', '', " >>> @deprecated_renamed_argument(['a', 'b'], ['alpha', 'beta'],", " ... ['1.0', 1.2])", ' ... def test(alpha, beta):', ' ... return alpha, beta', '', ' >>> test(a=2, b=3)', ' (2, 3)', '', 'In this case ``arg_in_kwargs`` and ``relax`` can be a single value (which', 'is applied to all renamed arguments) or must also be a `tuple` or `list`', 'with values for each of the arguments.', '', '.. warning::', ' This decorator needs to access the original signature of the decorated', ' function. Therefore this decorator must be the **first** decorator on', ' any function if it needs to work for Python before version 3.4.']:110: WARNING: py:obj reference target not found: tuple ['deprecated_renamed_argument(old_name, new_name, since, arg_in_kwargs=False, relax=False, pending=False)', ':module: astropy.utils.decorators', '', '', '', 'Deprecate a _renamed_ function argument.', '', 'The decorator assumes that the argument with the ``old_name`` was removed', 'from the function signature and the ``new_name`` replaced it at the', '**same position** in the signature. If the ``old_name`` argument is', 'given when calling the decorated function the decorator will catch it and', 'issue a deprecation warning and pass it on as ``new_name`` argument.', '', ':Parameters:', '', ' **old_name** : str or list/tuple thereof', '', ' The old name of the argument.', ' ', '', ' **new_name** : str or list/tuple thereof', '', ' The new name of the argument.', ' ', '', ' **since** : str or number or list/tuple thereof', '', ' The release at which the old argument became deprecated.', ' ', '', ' **arg_in_kwargs** : bool or list/tuple thereof, optional', '', ' If the argument is not a named argument (for example it', ' was meant to be consumed by ``**kwargs``) set this to', ' ``True``. Otherwise the decorator will throw an Exception', ' if the ``new_name`` cannot be found in the signature of', ' the decorated function.', ' Default is ``False``.', ' ', '', ' **relax** : bool or list/tuple thereof, optional', '', ' If ``False`` a ``TypeError`` is raised if both ``new_name`` and', ' ``old_name`` are given. If ``True`` the value for ``new_name`` is used', ' and a Warning is issued.', ' Default is ``False``.', ' ', '', ' **pending** : bool or list/tuple thereof, optional', '', ' If ``True`` this will hide the deprecation warning and ignore the', ' corresponding ``relax`` parameter value.', ' Default is ``False``.', '', ':Raises:', '', ' **TypeError**', '', ' If the new argument name cannot be found in the function', ' signature and arg_in_kwargs was False or if it is used to', ' deprecate the name of the ``*args``-, ``**kwargs``-like arguments.', ' At runtime such an Error is raised if both the new_name', ' and old_name were specified when calling the function and', ' "relax=False".', '', '.. rubric:: Notes', '', '', 'The decorator should be applied to a function where the **name**', 'of an argument was changed but it applies the same logic.', '', '.. warning::', ' If ``old_name`` is a list or tuple the ``new_name`` and ``since`` must', ' also be a list or tuple with the same number of entries. ``relax`` and', ' ``arg_in_kwarg`` can be a single bool (applied to all) or also a', ' list/tuple with the same number of entries like ``new_name``, etc.', '', '.. rubric:: Examples', '', '', 'The deprecation warnings are not shown in the following examples.', '', 'To deprecate a positional or keyword argument::', '', ' >>> from astropy.utils.decorators import deprecated_renamed_argument', " >>> @deprecated_renamed_argument('sig', 'sigma', '1.0')", ' ... def test(sigma):', ' ... return sigma', '', ' >>> test(2)', ' 2', ' >>> test(sigma=2)', ' 2', ' >>> test(sig=2)', ' 2', '', 'To deprecate an argument catched inside the ``**kwargs`` the', '``arg_in_kwargs`` has to be set::', '', " >>> @deprecated_renamed_argument('sig', 'sigma', '1.0',", ' ... arg_in_kwargs=True)', ' ... def test(**kwargs):', " ... return kwargs['sigma']", '', ' >>> test(sigma=2)', ' 2', ' >>> test(sig=2)', ' 2', '', 'By default providing the new and old keyword will lead to an Exception. If', 'a Warning is desired set the ``relax`` argument::', '', " >>> @deprecated_renamed_argument('sig', 'sigma', '1.0', relax=True)", ' ... def test(sigma):', ' ... return sigma', '', ' >>> test(sig=2)', ' 2', '', 'It is also possible to replace multiple arguments. The ``old_name``,', '``new_name`` and ``since`` have to be `tuple` or `list` and contain the', 'same number of entries::', '', " >>> @deprecated_renamed_argument(['a', 'b'], ['alpha', 'beta'],", " ... ['1.0', 1.2])", ' ... def test(alpha, beta):', ' ... return alpha, beta', '', ' >>> test(a=2, b=3)', ' (2, 3)', '', 'In this case ``arg_in_kwargs`` and ``relax`` can be a single value (which', 'is applied to all renamed arguments) or must also be a `tuple` or `list`', 'with values for each of the arguments.', '', '.. warning::', ' This decorator needs to access the original signature of the decorated', ' function. Therefore this decorator must be the **first** decorator on', ' any function if it needs to work for Python before version 3.4.']:110: WARNING: py:obj reference target not found: list ['deprecated_renamed_argument(old_name, new_name, since, arg_in_kwargs=False, relax=False, pending=False)', ':module: astropy.utils.decorators', '', '', '', 'Deprecate a _renamed_ function argument.', '', 'The decorator assumes that the argument with the ``old_name`` was removed', 'from the function signature and the ``new_name`` replaced it at the', '**same position** in the signature. If the ``old_name`` argument is', 'given when calling the decorated function the decorator will catch it and', 'issue a deprecation warning and pass it on as ``new_name`` argument.', '', ':Parameters:', '', ' **old_name** : str or list/tuple thereof', '', ' The old name of the argument.', ' ', '', ' **new_name** : str or list/tuple thereof', '', ' The new name of the argument.', ' ', '', ' **since** : str or number or list/tuple thereof', '', ' The release at which the old argument became deprecated.', ' ', '', ' **arg_in_kwargs** : bool or list/tuple thereof, optional', '', ' If the argument is not a named argument (for example it', ' was meant to be consumed by ``**kwargs``) set this to', ' ``True``. Otherwise the decorator will throw an Exception', ' if the ``new_name`` cannot be found in the signature of', ' the decorated function.', ' Default is ``False``.', ' ', '', ' **relax** : bool or list/tuple thereof, optional', '', ' If ``False`` a ``TypeError`` is raised if both ``new_name`` and', ' ``old_name`` are given. If ``True`` the value for ``new_name`` is used', ' and a Warning is issued.', ' Default is ``False``.', ' ', '', ' **pending** : bool or list/tuple thereof, optional', '', ' If ``True`` this will hide the deprecation warning and ignore the', ' corresponding ``relax`` parameter value.', ' Default is ``False``.', '', ':Raises:', '', ' **TypeError**', '', ' If the new argument name cannot be found in the function', ' signature and arg_in_kwargs was False or if it is used to', ' deprecate the name of the ``*args``-, ``**kwargs``-like arguments.', ' At runtime such an Error is raised if both the new_name', ' and old_name were specified when calling the function and', ' "relax=False".', '', '.. rubric:: Notes', '', '', 'The decorator should be applied to a function where the **name**', 'of an argument was changed but it applies the same logic.', '', '.. warning::', ' If ``old_name`` is a list or tuple the ``new_name`` and ``since`` must', ' also be a list or tuple with the same number of entries. ``relax`` and', ' ``arg_in_kwarg`` can be a single bool (applied to all) or also a', ' list/tuple with the same number of entries like ``new_name``, etc.', '', '.. rubric:: Examples', '', '', 'The deprecation warnings are not shown in the following examples.', '', 'To deprecate a positional or keyword argument::', '', ' >>> from astropy.utils.decorators import deprecated_renamed_argument', " >>> @deprecated_renamed_argument('sig', 'sigma', '1.0')", ' ... def test(sigma):', ' ... return sigma', '', ' >>> test(2)', ' 2', ' >>> test(sigma=2)', ' 2', ' >>> test(sig=2)', ' 2', '', 'To deprecate an argument catched inside the ``**kwargs`` the', '``arg_in_kwargs`` has to be set::', '', " >>> @deprecated_renamed_argument('sig', 'sigma', '1.0',", ' ... arg_in_kwargs=True)', ' ... def test(**kwargs):', " ... return kwargs['sigma']", '', ' >>> test(sigma=2)', ' 2', ' >>> test(sig=2)', ' 2', '', 'By default providing the new and old keyword will lead to an Exception. If', 'a Warning is desired set the ``relax`` argument::', '', " >>> @deprecated_renamed_argument('sig', 'sigma', '1.0', relax=True)", ' ... def test(sigma):', ' ... return sigma', '', ' >>> test(sig=2)', ' 2', '', 'It is also possible to replace multiple arguments. The ``old_name``,', '``new_name`` and ``since`` have to be `tuple` or `list` and contain the', 'same number of entries::', '', " >>> @deprecated_renamed_argument(['a', 'b'], ['alpha', 'beta'],", " ... ['1.0', 1.2])", ' ... def test(alpha, beta):', ' ... return alpha, beta', '', ' >>> test(a=2, b=3)', ' (2, 3)', '', 'In this case ``arg_in_kwargs`` and ``relax`` can be a single value (which', 'is applied to all renamed arguments) or must also be a `tuple` or `list`', 'with values for each of the arguments.', '', '.. warning::', ' This decorator needs to access the original signature of the decorated', ' function. Therefore this decorator must be the **first** decorator on', ' any function if it needs to work for Python before version 3.4.']:122: WARNING: py:obj reference target not found: tuple ['deprecated_renamed_argument(old_name, new_name, since, arg_in_kwargs=False, relax=False, pending=False)', ':module: astropy.utils.decorators', '', '', '', 'Deprecate a _renamed_ function argument.', '', 'The decorator assumes that the argument with the ``old_name`` was removed', 'from the function signature and the ``new_name`` replaced it at the', '**same position** in the signature. If the ``old_name`` argument is', 'given when calling the decorated function the decorator will catch it and', 'issue a deprecation warning and pass it on as ``new_name`` argument.', '', ':Parameters:', '', ' **old_name** : str or list/tuple thereof', '', ' The old name of the argument.', ' ', '', ' **new_name** : str or list/tuple thereof', '', ' The new name of the argument.', ' ', '', ' **since** : str or number or list/tuple thereof', '', ' The release at which the old argument became deprecated.', ' ', '', ' **arg_in_kwargs** : bool or list/tuple thereof, optional', '', ' If the argument is not a named argument (for example it', ' was meant to be consumed by ``**kwargs``) set this to', ' ``True``. Otherwise the decorator will throw an Exception', ' if the ``new_name`` cannot be found in the signature of', ' the decorated function.', ' Default is ``False``.', ' ', '', ' **relax** : bool or list/tuple thereof, optional', '', ' If ``False`` a ``TypeError`` is raised if both ``new_name`` and', ' ``old_name`` are given. If ``True`` the value for ``new_name`` is used', ' and a Warning is issued.', ' Default is ``False``.', ' ', '', ' **pending** : bool or list/tuple thereof, optional', '', ' If ``True`` this will hide the deprecation warning and ignore the', ' corresponding ``relax`` parameter value.', ' Default is ``False``.', '', ':Raises:', '', ' **TypeError**', '', ' If the new argument name cannot be found in the function', ' signature and arg_in_kwargs was False or if it is used to', ' deprecate the name of the ``*args``-, ``**kwargs``-like arguments.', ' At runtime such an Error is raised if both the new_name', ' and old_name were specified when calling the function and', ' "relax=False".', '', '.. rubric:: Notes', '', '', 'The decorator should be applied to a function where the **name**', 'of an argument was changed but it applies the same logic.', '', '.. warning::', ' If ``old_name`` is a list or tuple the ``new_name`` and ``since`` must', ' also be a list or tuple with the same number of entries. ``relax`` and', ' ``arg_in_kwarg`` can be a single bool (applied to all) or also a', ' list/tuple with the same number of entries like ``new_name``, etc.', '', '.. rubric:: Examples', '', '', 'The deprecation warnings are not shown in the following examples.', '', 'To deprecate a positional or keyword argument::', '', ' >>> from astropy.utils.decorators import deprecated_renamed_argument', " >>> @deprecated_renamed_argument('sig', 'sigma', '1.0')", ' ... def test(sigma):', ' ... return sigma', '', ' >>> test(2)', ' 2', ' >>> test(sigma=2)', ' 2', ' >>> test(sig=2)', ' 2', '', 'To deprecate an argument catched inside the ``**kwargs`` the', '``arg_in_kwargs`` has to be set::', '', " >>> @deprecated_renamed_argument('sig', 'sigma', '1.0',", ' ... arg_in_kwargs=True)', ' ... def test(**kwargs):', " ... return kwargs['sigma']", '', ' >>> test(sigma=2)', ' 2', ' >>> test(sig=2)', ' 2', '', 'By default providing the new and old keyword will lead to an Exception. If', 'a Warning is desired set the ``relax`` argument::', '', " >>> @deprecated_renamed_argument('sig', 'sigma', '1.0', relax=True)", ' ... def test(sigma):', ' ... return sigma', '', ' >>> test(sig=2)', ' 2', '', 'It is also possible to replace multiple arguments. The ``old_name``,', '``new_name`` and ``since`` have to be `tuple` or `list` and contain the', 'same number of entries::', '', " >>> @deprecated_renamed_argument(['a', 'b'], ['alpha', 'beta'],", " ... ['1.0', 1.2])", ' ... def test(alpha, beta):', ' ... return alpha, beta', '', ' >>> test(a=2, b=3)', ' (2, 3)', '', 'In this case ``arg_in_kwargs`` and ``relax`` can be a single value (which', 'is applied to all renamed arguments) or must also be a `tuple` or `list`', 'with values for each of the arguments.', '', '.. warning::', ' This decorator needs to access the original signature of the decorated', ' function. Therefore this decorator must be the **first** decorator on', ' any function if it needs to work for Python before version 3.4.']:122: WARNING: py:obj reference target not found: list /<>/docs/api/astropy.utils.decorators.format_doc.rst:11: WARNING: py:meth reference target not found: str.format ['format_doc(docstring, *args, **kwargs)', ':module: astropy.utils.decorators', '', '', '', 'Replaces the docstring of the decorated object and then formats it.', '', 'The formatting works like :meth:`str.format` and if the decorated object', 'already has a docstring this docstring can be included in the new', 'documentation if you use the ``{__doc__}`` placeholder.', 'Its primary use is for reusing a *long* docstring in multiple functions', 'when it is the same or only slightly different between them.', '', ':Parameters:', '', ' **docstring** : str or object or None', '', ' The docstring that will replace the docstring of the decorated', ' object. If it is an object like a function or class it will', ' take the docstring of this object. If it is a string it will use the', ' string itself. One special case is if the string is ``None`` then', ' it will use the decorated functions docstring and formats it.', ' ', '', ' **args :**', '', ' passed to :meth:`str.format`.', ' ', '', ' **kwargs :**', '', ' passed to :meth:`str.format`. If the function has a (not empty)', ' docstring the original docstring is added to the kwargs with the', " keyword ``'__doc__'``.", '', ':Raises:', '', ' **ValueError**', '', ' If the ``docstring`` (or interpreted docstring if it was ``None``', ' or not a string) is empty.', ' ', '', ' **IndexError, KeyError**', '', ' If a placeholder in the (interpreted) ``docstring`` was not filled. see', ' :meth:`str.format` for more information.', '', '.. rubric:: Notes', '', '', 'Using this decorator allows, for example Sphinx, to parse the', 'correct docstring.', '', '.. rubric:: Examples', '', '', 'Replacing the current docstring is very easy::', '', ' >>> from astropy.utils.decorators import format_doc', " >>> @format_doc('''Perform num1 + num2''')", ' ... def add(num1, num2):', ' ... return num1+num2', ' ...', ' >>> help(add) # doctest: +SKIP', ' Help on function add in module __main__:', ' ', ' add(num1, num2)', ' Perform num1 + num2', '', 'sometimes instead of replacing you only want to add to it::', '', " >>> doc = '''", ' ... {__doc__}', ' ... Parameters', ' ... ----------', ' ... num1, num2 : Numbers', ' ... Returns', ' ... -------', ' ... result: Number', " ... '''", ' >>> @format_doc(doc)', ' ... def add(num1, num2):', " ... '''Perform addition.'''", ' ... return num1+num2', ' ...', ' >>> help(add) # doctest: +SKIP', ' Help on function add in module __main__:', ' ', ' add(num1, num2)', ' Perform addition.', ' Parameters', ' ----------', ' num1, num2 : Numbers', ' Returns', ' -------', ' result : Number', '', 'in case one might want to format it further::', '', " >>> doc = '''", ' ... Perform {0}.', ' ... Parameters', ' ... ----------', ' ... num1, num2 : Numbers', ' ... Returns', ' ... -------', ' ... result: Number', ' ... result of num1 {op} num2', ' ... {__doc__}', " ... '''", " >>> @format_doc(doc, 'addition', op='+')", ' ... def add(num1, num2):', ' ... return num1+num2', ' ...', " >>> @format_doc(doc, 'subtraction', op='-')", ' ... def subtract(num1, num2):', " ... '''Notes: This one has additional notes.'''", ' ... return num1-num2', ' ...', ' >>> help(add) # doctest: +SKIP', ' Help on function add in module __main__:', ' ', ' add(num1, num2)', ' Perform addition.', ' Parameters', ' ----------', ' num1, num2 : Numbers', ' Returns', ' -------', ' result : Number', ' result of num1 + num2', ' >>> help(subtract) # doctest: +SKIP', ' Help on function subtract in module __main__:', ' ', ' subtract(num1, num2)', ' Perform subtraction.', ' Parameters', ' ----------', ' num1, num2 : Numbers', ' Returns', ' -------', ' result : Number', ' result of num1 - num2', ' Notes : This one has additional notes.', '', 'These methods can be combined an even taking the docstring from another', 'object is possible as docstring attribute. You just have to specify the', 'object::', '', ' >>> @format_doc(add)', ' ... def another_add(num1, num2):', ' ... return num1 + num2', ' ...', ' >>> help(another_add) # doctest: +SKIP', ' Help on function another_add in module __main__:', ' ', ' another_add(num1, num2)', ' Perform addition.', ' Parameters', ' ----------', ' num1, num2 : Numbers', ' Returns', ' -------', ' result : Number', ' result of num1 + num2', '', 'But be aware that this decorator *only* formats the given docstring not', 'the strings passed as ``args`` or ``kwargs`` (not even the original', 'docstring)::', '', " >>> @format_doc(doc, 'addition', op='+')", ' ... def yet_another_add(num1, num2):', " ... '''This one is good for {0}.'''", ' ... return num1 + num2', ' ...', ' >>> help(yet_another_add) # doctest: +SKIP', ' Help on function yet_another_add in module __main__:', ' ', ' yet_another_add(num1, num2)', ' Perform addition.', ' Parameters', ' ----------', ' num1, num2 : Numbers', ' Returns', ' -------', ' result : Number', ' result of num1 + num2', ' This one is good for {0}.', '', 'To work around it you could specify the docstring to be ``None``::', '', " >>> @format_doc(None, 'addition')", ' ... def last_add_i_swear(num1, num2):', " ... '''This one is good for {0}.'''", ' ... return num1 + num2', ' ...', ' >>> help(last_add_i_swear) # doctest: +SKIP', ' Help on function last_add_i_swear in module __main__:', ' ', ' last_add_i_swear(num1, num2)', ' This one is good for addition.', '', 'Using it with ``None`` as docstring allows to use the decorator twice', 'on an object to first parse the new docstring and then to parse the', 'original docstring or the ``args`` and ``kwargs``.']:23: WARNING: py:meth reference target not found: str.format ['format_doc(docstring, *args, **kwargs)', ':module: astropy.utils.decorators', '', '', '', 'Replaces the docstring of the decorated object and then formats it.', '', 'The formatting works like :meth:`str.format` and if the decorated object', 'already has a docstring this docstring can be included in the new', 'documentation if you use the ``{__doc__}`` placeholder.', 'Its primary use is for reusing a *long* docstring in multiple functions', 'when it is the same or only slightly different between them.', '', ':Parameters:', '', ' **docstring** : str or object or None', '', ' The docstring that will replace the docstring of the decorated', ' object. If it is an object like a function or class it will', ' take the docstring of this object. If it is a string it will use the', ' string itself. One special case is if the string is ``None`` then', ' it will use the decorated functions docstring and formats it.', ' ', '', ' **args :**', '', ' passed to :meth:`str.format`.', ' ', '', ' **kwargs :**', '', ' passed to :meth:`str.format`. If the function has a (not empty)', ' docstring the original docstring is added to the kwargs with the', " keyword ``'__doc__'``.", '', ':Raises:', '', ' **ValueError**', '', ' If the ``docstring`` (or interpreted docstring if it was ``None``', ' or not a string) is empty.', ' ', '', ' **IndexError, KeyError**', '', ' If a placeholder in the (interpreted) ``docstring`` was not filled. see', ' :meth:`str.format` for more information.', '', '.. rubric:: Notes', '', '', 'Using this decorator allows, for example Sphinx, to parse the', 'correct docstring.', '', '.. rubric:: Examples', '', '', 'Replacing the current docstring is very easy::', '', ' >>> from astropy.utils.decorators import format_doc', " >>> @format_doc('''Perform num1 + num2''')", ' ... def add(num1, num2):', ' ... return num1+num2', ' ...', ' >>> help(add) # doctest: +SKIP', ' Help on function add in module __main__:', ' ', ' add(num1, num2)', ' Perform num1 + num2', '', 'sometimes instead of replacing you only want to add to it::', '', " >>> doc = '''", ' ... {__doc__}', ' ... Parameters', ' ... ----------', ' ... num1, num2 : Numbers', ' ... Returns', ' ... -------', ' ... result: Number', " ... '''", ' >>> @format_doc(doc)', ' ... def add(num1, num2):', " ... '''Perform addition.'''", ' ... return num1+num2', ' ...', ' >>> help(add) # doctest: +SKIP', ' Help on function add in module __main__:', ' ', ' add(num1, num2)', ' Perform addition.', ' Parameters', ' ----------', ' num1, num2 : Numbers', ' Returns', ' -------', ' result : Number', '', 'in case one might want to format it further::', '', " >>> doc = '''", ' ... Perform {0}.', ' ... Parameters', ' ... ----------', ' ... num1, num2 : Numbers', ' ... Returns', ' ... -------', ' ... result: Number', ' ... result of num1 {op} num2', ' ... {__doc__}', " ... '''", " >>> @format_doc(doc, 'addition', op='+')", ' ... def add(num1, num2):', ' ... return num1+num2', ' ...', " >>> @format_doc(doc, 'subtraction', op='-')", ' ... def subtract(num1, num2):', " ... '''Notes: This one has additional notes.'''", ' ... return num1-num2', ' ...', ' >>> help(add) # doctest: +SKIP', ' Help on function add in module __main__:', ' ', ' add(num1, num2)', ' Perform addition.', ' Parameters', ' ----------', ' num1, num2 : Numbers', ' Returns', ' -------', ' result : Number', ' result of num1 + num2', ' >>> help(subtract) # doctest: +SKIP', ' Help on function subtract in module __main__:', ' ', ' subtract(num1, num2)', ' Perform subtraction.', ' Parameters', ' ----------', ' num1, num2 : Numbers', ' Returns', ' -------', ' result : Number', ' result of num1 - num2', ' Notes : This one has additional notes.', '', 'These methods can be combined an even taking the docstring from another', 'object is possible as docstring attribute. You just have to specify the', 'object::', '', ' >>> @format_doc(add)', ' ... def another_add(num1, num2):', ' ... return num1 + num2', ' ...', ' >>> help(another_add) # doctest: +SKIP', ' Help on function another_add in module __main__:', ' ', ' another_add(num1, num2)', ' Perform addition.', ' Parameters', ' ----------', ' num1, num2 : Numbers', ' Returns', ' -------', ' result : Number', ' result of num1 + num2', '', 'But be aware that this decorator *only* formats the given docstring not', 'the strings passed as ``args`` or ``kwargs`` (not even the original', 'docstring)::', '', " >>> @format_doc(doc, 'addition', op='+')", ' ... def yet_another_add(num1, num2):', " ... '''This one is good for {0}.'''", ' ... return num1 + num2', ' ...', ' >>> help(yet_another_add) # doctest: +SKIP', ' Help on function yet_another_add in module __main__:', ' ', ' yet_another_add(num1, num2)', ' Perform addition.', ' Parameters', ' ----------', ' num1, num2 : Numbers', ' Returns', ' -------', ' result : Number', ' result of num1 + num2', ' This one is good for {0}.', '', 'To work around it you could specify the docstring to be ``None``::', '', " >>> @format_doc(None, 'addition')", ' ... def last_add_i_swear(num1, num2):', " ... '''This one is good for {0}.'''", ' ... return num1 + num2', ' ...', ' >>> help(last_add_i_swear) # doctest: +SKIP', ' Help on function last_add_i_swear in module __main__:', ' ', ' last_add_i_swear(num1, num2)', ' This one is good for addition.', '', 'Using it with ``None`` as docstring allows to use the decorator twice', 'on an object to first parse the new docstring and then to parse the', 'original docstring or the ``args`` and ``kwargs``.']:27: WARNING: py:meth reference target not found: str.format ['format_doc(docstring, *args, **kwargs)', ':module: astropy.utils.decorators', '', '', '', 'Replaces the docstring of the decorated object and then formats it.', '', 'The formatting works like :meth:`str.format` and if the decorated object', 'already has a docstring this docstring can be included in the new', 'documentation if you use the ``{__doc__}`` placeholder.', 'Its primary use is for reusing a *long* docstring in multiple functions', 'when it is the same or only slightly different between them.', '', ':Parameters:', '', ' **docstring** : str or object or None', '', ' The docstring that will replace the docstring of the decorated', ' object. If it is an object like a function or class it will', ' take the docstring of this object. If it is a string it will use the', ' string itself. One special case is if the string is ``None`` then', ' it will use the decorated functions docstring and formats it.', ' ', '', ' **args :**', '', ' passed to :meth:`str.format`.', ' ', '', ' **kwargs :**', '', ' passed to :meth:`str.format`. If the function has a (not empty)', ' docstring the original docstring is added to the kwargs with the', " keyword ``'__doc__'``.", '', ':Raises:', '', ' **ValueError**', '', ' If the ``docstring`` (or interpreted docstring if it was ``None``', ' or not a string) is empty.', ' ', '', ' **IndexError, KeyError**', '', ' If a placeholder in the (interpreted) ``docstring`` was not filled. see', ' :meth:`str.format` for more information.', '', '.. rubric:: Notes', '', '', 'Using this decorator allows, for example Sphinx, to parse the', 'correct docstring.', '', '.. rubric:: Examples', '', '', 'Replacing the current docstring is very easy::', '', ' >>> from astropy.utils.decorators import format_doc', " >>> @format_doc('''Perform num1 + num2''')", ' ... def add(num1, num2):', ' ... return num1+num2', ' ...', ' >>> help(add) # doctest: +SKIP', ' Help on function add in module __main__:', ' ', ' add(num1, num2)', ' Perform num1 + num2', '', 'sometimes instead of replacing you only want to add to it::', '', " >>> doc = '''", ' ... {__doc__}', ' ... Parameters', ' ... ----------', ' ... num1, num2 : Numbers', ' ... Returns', ' ... -------', ' ... result: Number', " ... '''", ' >>> @format_doc(doc)', ' ... def add(num1, num2):', " ... '''Perform addition.'''", ' ... return num1+num2', ' ...', ' >>> help(add) # doctest: +SKIP', ' Help on function add in module __main__:', ' ', ' add(num1, num2)', ' Perform addition.', ' Parameters', ' ----------', ' num1, num2 : Numbers', ' Returns', ' -------', ' result : Number', '', 'in case one might want to format it further::', '', " >>> doc = '''", ' ... Perform {0}.', ' ... Parameters', ' ... ----------', ' ... num1, num2 : Numbers', ' ... Returns', ' ... -------', ' ... result: Number', ' ... result of num1 {op} num2', ' ... {__doc__}', " ... '''", " >>> @format_doc(doc, 'addition', op='+')", ' ... def add(num1, num2):', ' ... return num1+num2', ' ...', " >>> @format_doc(doc, 'subtraction', op='-')", ' ... def subtract(num1, num2):', " ... '''Notes: This one has additional notes.'''", ' ... return num1-num2', ' ...', ' >>> help(add) # doctest: +SKIP', ' Help on function add in module __main__:', ' ', ' add(num1, num2)', ' Perform addition.', ' Parameters', ' ----------', ' num1, num2 : Numbers', ' Returns', ' -------', ' result : Number', ' result of num1 + num2', ' >>> help(subtract) # doctest: +SKIP', ' Help on function subtract in module __main__:', ' ', ' subtract(num1, num2)', ' Perform subtraction.', ' Parameters', ' ----------', ' num1, num2 : Numbers', ' Returns', ' -------', ' result : Number', ' result of num1 - num2', ' Notes : This one has additional notes.', '', 'These methods can be combined an even taking the docstring from another', 'object is possible as docstring attribute. You just have to specify the', 'object::', '', ' >>> @format_doc(add)', ' ... def another_add(num1, num2):', ' ... return num1 + num2', ' ...', ' >>> help(another_add) # doctest: +SKIP', ' Help on function another_add in module __main__:', ' ', ' another_add(num1, num2)', ' Perform addition.', ' Parameters', ' ----------', ' num1, num2 : Numbers', ' Returns', ' -------', ' result : Number', ' result of num1 + num2', '', 'But be aware that this decorator *only* formats the given docstring not', 'the strings passed as ``args`` or ``kwargs`` (not even the original', 'docstring)::', '', " >>> @format_doc(doc, 'addition', op='+')", ' ... def yet_another_add(num1, num2):', " ... '''This one is good for {0}.'''", ' ... return num1 + num2', ' ...', ' >>> help(yet_another_add) # doctest: +SKIP', ' Help on function yet_another_add in module __main__:', ' ', ' yet_another_add(num1, num2)', ' Perform addition.', ' Parameters', ' ----------', ' num1, num2 : Numbers', ' Returns', ' -------', ' result : Number', ' result of num1 + num2', ' This one is good for {0}.', '', 'To work around it you could specify the docstring to be ``None``::', '', " >>> @format_doc(None, 'addition')", ' ... def last_add_i_swear(num1, num2):', " ... '''This one is good for {0}.'''", ' ... return num1 + num2', ' ...', ' >>> help(last_add_i_swear) # doctest: +SKIP', ' Help on function last_add_i_swear in module __main__:', ' ', ' last_add_i_swear(num1, num2)', ' This one is good for addition.', '', 'Using it with ``None`` as docstring allows to use the decorator twice', 'on an object to first parse the new docstring and then to parse the', 'original docstring or the ``args`` and ``kwargs``.']:40: WARNING: py:meth reference target not found: str.format /<>/docs/api/astropy.utils.decorators.lazyproperty.rst:7: WARNING: py:class reference target not found: property /<>/docs/api/astropy.utils.decorators.sharedmethod.rst:9: WARNING: py:obj reference target not found: classmethod ['sharedmethod', ':module: astropy.utils.decorators', '', 'Bases: :class:`classmethod`', '', '', '', 'This is a method decorator that allows both an instancemethod and a', '`classmethod` to share the same name.', '', "When using `sharedmethod` on a method defined in a class's body, it", 'may be called on an instance, or on a class. In the former case it', 'behaves like a normal instance method (a reference to the instance is', 'automatically passed as the first ``self`` argument of the method)::', '', ' >>> class Example(object):', ' ... @sharedmethod', ' ... def identify(self, *args):', " ... print('self was', self)", " ... print('additional args were', args)", ' ...', ' >>> ex = Example()', ' >>> ex.identify(1, 2)', ' self was ', ' additional args were (1, 2)', '', 'In the latter case, when the `sharedmethod` is called directly from a', 'class, it behaves like a `classmethod`::', '', ' >>> Example.identify(3, 4)', " self was ", ' additional args were (3, 4)', '', 'This also supports a more advanced usage, where the `classmethod`', "implementation can be written separately. If the class's *metaclass*", 'has a method of the same name as the `sharedmethod`, the version on', 'the metaclass is delegated to::', '', ' >>> from astropy.extern.six import add_metaclass', ' >>> class ExampleMeta(type):', ' ... def identify(self):', " ... print('this implements the {0}.identify '", " ... 'classmethod'.format(self.__name__))", ' ...', ' >>> @add_metaclass(ExampleMeta)', ' ... class Example(object):', ' ... @sharedmethod', ' ... def identify(self):', " ... print('this implements the instancemethod')", ' ...', ' >>> Example().identify()', ' this implements the instancemethod', ' >>> Example.identify()', ' this implements the Example.identify classmethod']:24: WARNING: py:obj reference target not found: classmethod ['sharedmethod', ':module: astropy.utils.decorators', '', 'Bases: :class:`classmethod`', '', '', '', 'This is a method decorator that allows both an instancemethod and a', '`classmethod` to share the same name.', '', "When using `sharedmethod` on a method defined in a class's body, it", 'may be called on an instance, or on a class. In the former case it', 'behaves like a normal instance method (a reference to the instance is', 'automatically passed as the first ``self`` argument of the method)::', '', ' >>> class Example(object):', ' ... @sharedmethod', ' ... def identify(self, *args):', " ... print('self was', self)", " ... print('additional args were', args)", ' ...', ' >>> ex = Example()', ' >>> ex.identify(1, 2)', ' self was ', ' additional args were (1, 2)', '', 'In the latter case, when the `sharedmethod` is called directly from a', 'class, it behaves like a `classmethod`::', '', ' >>> Example.identify(3, 4)', " self was ", ' additional args were (3, 4)', '', 'This also supports a more advanced usage, where the `classmethod`', "implementation can be written separately. If the class's *metaclass*", 'has a method of the same name as the `sharedmethod`, the version on', 'the metaclass is delegated to::', '', ' >>> from astropy.extern.six import add_metaclass', ' >>> class ExampleMeta(type):', ' ... def identify(self):', " ... print('this implements the {0}.identify '", " ... 'classmethod'.format(self.__name__))", ' ...', ' >>> @add_metaclass(ExampleMeta)', ' ... class Example(object):', ' ... @sharedmethod', ' ... def identify(self):', " ... print('this implements the instancemethod')", ' ...', ' >>> Example().identify()', ' this implements the instancemethod', ' >>> Example.identify()', ' this implements the Example.identify classmethod']:31: WARNING: py:obj reference target not found: classmethod /<>/docs/api/astropy.utils.decorators.wraps.rst:9: WARNING: py:obj reference target not found: functools.wraps /<>/docs/api/astropy.utils.decorators.wraps.rst:17: WARNING: py:obj reference target not found: functools.wraps /<>/docs/api/astropy.utils.introspection.isinstancemethod.rst:9: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.utils.introspection.isinstancemethod.rst:9: WARNING: py:obj reference target not found: staticmethod /<>/docs/api/astropy.utils.introspection.isinstancemethod.rst:9: WARNING: py:obj reference target not found: classmethod /<>/docs/api/astropy.utils.introspection.isinstancemethod.rst:17: WARNING: py:obj reference target not found: type ['isinstancemethod(cls, obj)', ':module: astropy.utils.introspection', '', '', '', 'Returns `True` if the given object is an instance method of the class', 'it is defined on (as opposed to a `staticmethod` or a `classmethod`).', '', 'This requires both the class the object is a member of as well as the', 'object itself in order to make this determination.', '', ':Parameters:', '', ' **cls** : `type`', '', ' The class on which this method was defined.', '', ' **obj** : `object`', '', ' A member of the provided class (the membership is not checked directly,', ' but this function will always return `False` if the given object is not', ' a member of the given class).', '', '.. rubric:: Examples', '', '', '>>> from astropy.extern import six', '>>> class MetaClass(type):', '... def a_classmethod(cls): pass', '...', '>>> @six.add_metaclass(MetaClass)', '... class MyClass(object):', '... __metaclass__ = MetaClass', '... def an_instancemethod(self): pass', '... @classmethod', '... def another_classmethod(cls): pass', '... @staticmethod', '... def a_staticmethod(): pass', '...', '>>> isinstancemethod(MyClass, MyClass.a_classmethod)', 'False', '>>> isinstancemethod(MyClass, MyClass.another_classmethod)', 'False', '>>> isinstancemethod(MyClass, MyClass.a_staticmethod)', 'False', '>>> isinstancemethod(MyClass, MyClass.an_instancemethod)', 'True']:15: WARNING: py:obj reference target not found: object ['isinstancemethod(cls, obj)', ':module: astropy.utils.introspection', '', '', '', 'Returns `True` if the given object is an instance method of the class', 'it is defined on (as opposed to a `staticmethod` or a `classmethod`).', '', 'This requires both the class the object is a member of as well as the', 'object itself in order to make this determination.', '', ':Parameters:', '', ' **cls** : `type`', '', ' The class on which this method was defined.', '', ' **obj** : `object`', '', ' A member of the provided class (the membership is not checked directly,', ' but this function will always return `False` if the given object is not', ' a member of the given class).', '', '.. rubric:: Examples', '', '', '>>> from astropy.extern import six', '>>> class MetaClass(type):', '... def a_classmethod(cls): pass', '...', '>>> @six.add_metaclass(MetaClass)', '... class MyClass(object):', '... __metaclass__ = MetaClass', '... def an_instancemethod(self): pass', '... @classmethod', '... def another_classmethod(cls): pass', '... @staticmethod', '... def a_staticmethod(): pass', '...', '>>> isinstancemethod(MyClass, MyClass.a_classmethod)', 'False', '>>> isinstancemethod(MyClass, MyClass.another_classmethod)', 'False', '>>> isinstancemethod(MyClass, MyClass.a_staticmethod)', 'False', '>>> isinstancemethod(MyClass, MyClass.an_instancemethod)', 'True']:17: WARNING: py:obj reference target not found: False /<>/docs/api/astropy.utils.introspection.minversion.rst:9: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.utils.introspection.minversion.rst:9: WARNING: py:obj reference target not found: False /<>/docs/api/astropy.utils.introspection.minversion.rst:18: WARNING: py:obj reference target not found: str ["minversion(module, version, inclusive=True, version_path='__version__')", ':module: astropy.utils.introspection', '', '', '', 'Returns `True` if the specified Python module satisfies a minimum version', 'requirement, and `False` if not.', '', 'By default this uses `pkg_resources.parse_version` to do the version', 'comparison if available. Otherwise it falls back on', '`distutils.version.LooseVersion`.', '', ':Parameters:', '', ' **module** : module or `str`', '', ' An imported module of which to check the version, or the name of', ' that module (in which case an import of that module is attempted--', ' if this fails `False` is returned).', ' ', '', ' **version** : `str`', '', ' The version as a string that this module must have at a minimum (e.g.', " ``'0.12'``).", ' ', '', ' **inclusive** : `bool`', '', ' The specified version meets the requirement inclusively (i.e. ``>=``)', ' as opposed to strictly greater than (default: `True`).', ' ', '', ' **version_path** : `str`', '', ' A dotted attribute path to follow in the module for the version.', " Defaults to just ``'__version__'``, which should work for most Python", ' modules.', '', '.. rubric:: Examples', '', '', '>>> import astropy', ">>> minversion(astropy, '0.4.4')", 'True']:14: WARNING: py:obj reference target not found: False ["minversion(module, version, inclusive=True, version_path='__version__')", ':module: astropy.utils.introspection', '', '', '', 'Returns `True` if the specified Python module satisfies a minimum version', 'requirement, and `False` if not.', '', 'By default this uses `pkg_resources.parse_version` to do the version', 'comparison if available. Otherwise it falls back on', '`distutils.version.LooseVersion`.', '', ':Parameters:', '', ' **module** : module or `str`', '', ' An imported module of which to check the version, or the name of', ' that module (in which case an import of that module is attempted--', ' if this fails `False` is returned).', ' ', '', ' **version** : `str`', '', ' The version as a string that this module must have at a minimum (e.g.', " ``'0.12'``).", ' ', '', ' **inclusive** : `bool`', '', ' The specified version meets the requirement inclusively (i.e. ``>=``)', ' as opposed to strictly greater than (default: `True`).', ' ', '', ' **version_path** : `str`', '', ' A dotted attribute path to follow in the module for the version.', " Defaults to just ``'__version__'``, which should work for most Python", ' modules.', '', '.. rubric:: Examples', '', '', '>>> import astropy', ">>> minversion(astropy, '0.4.4')", 'True']:18: WARNING: py:obj reference target not found: str ["minversion(module, version, inclusive=True, version_path='__version__')", ':module: astropy.utils.introspection', '', '', '', 'Returns `True` if the specified Python module satisfies a minimum version', 'requirement, and `False` if not.', '', 'By default this uses `pkg_resources.parse_version` to do the version', 'comparison if available. Otherwise it falls back on', '`distutils.version.LooseVersion`.', '', ':Parameters:', '', ' **module** : module or `str`', '', ' An imported module of which to check the version, or the name of', ' that module (in which case an import of that module is attempted--', ' if this fails `False` is returned).', ' ', '', ' **version** : `str`', '', ' The version as a string that this module must have at a minimum (e.g.', " ``'0.12'``).", ' ', '', ' **inclusive** : `bool`', '', ' The specified version meets the requirement inclusively (i.e. ``>=``)', ' as opposed to strictly greater than (default: `True`).', ' ', '', ' **version_path** : `str`', '', ' A dotted attribute path to follow in the module for the version.', " Defaults to just ``'__version__'``, which should work for most Python", ' modules.', '', '.. rubric:: Examples', '', '', '>>> import astropy', ">>> minversion(astropy, '0.4.4')", 'True']:23: WARNING: py:obj reference target not found: bool ["minversion(module, version, inclusive=True, version_path='__version__')", ':module: astropy.utils.introspection', '', '', '', 'Returns `True` if the specified Python module satisfies a minimum version', 'requirement, and `False` if not.', '', 'By default this uses `pkg_resources.parse_version` to do the version', 'comparison if available. Otherwise it falls back on', '`distutils.version.LooseVersion`.', '', ':Parameters:', '', ' **module** : module or `str`', '', ' An imported module of which to check the version, or the name of', ' that module (in which case an import of that module is attempted--', ' if this fails `False` is returned).', ' ', '', ' **version** : `str`', '', ' The version as a string that this module must have at a minimum (e.g.', " ``'0.12'``).", ' ', '', ' **inclusive** : `bool`', '', ' The specified version meets the requirement inclusively (i.e. ``>=``)', ' as opposed to strictly greater than (default: `True`).', ' ', '', ' **version_path** : `str`', '', ' A dotted attribute path to follow in the module for the version.', " Defaults to just ``'__version__'``, which should work for most Python", ' modules.', '', '.. rubric:: Examples', '', '', '>>> import astropy', ">>> minversion(astropy, '0.4.4')", 'True']:25: WARNING: py:obj reference target not found: True ["minversion(module, version, inclusive=True, version_path='__version__')", ':module: astropy.utils.introspection', '', '', '', 'Returns `True` if the specified Python module satisfies a minimum version', 'requirement, and `False` if not.', '', 'By default this uses `pkg_resources.parse_version` to do the version', 'comparison if available. Otherwise it falls back on', '`distutils.version.LooseVersion`.', '', ':Parameters:', '', ' **module** : module or `str`', '', ' An imported module of which to check the version, or the name of', ' that module (in which case an import of that module is attempted--', ' if this fails `False` is returned).', ' ', '', ' **version** : `str`', '', ' The version as a string that this module must have at a minimum (e.g.', " ``'0.12'``).", ' ', '', ' **inclusive** : `bool`', '', ' The specified version meets the requirement inclusively (i.e. ``>=``)', ' as opposed to strictly greater than (default: `True`).', ' ', '', ' **version_path** : `str`', '', ' A dotted attribute path to follow in the module for the version.', " Defaults to just ``'__version__'``, which should work for most Python", ' modules.', '', '.. rubric:: Examples', '', '', '>>> import astropy', ">>> minversion(astropy, '0.4.4')", 'True']:28: WARNING: py:obj reference target not found: str /<>/docs/api/astropy.utils.introspection.resolve_name.rst:11: WARNING: py:obj reference target not found: __import__ /<>/docs/api/astropy.utils.introspection.resolve_name.rst:17: WARNING: py:obj reference target not found: str /<>/docs/api/astropy.utils.metadata.MergeStrategy.rst:7: WARNING: py:class reference target not found: object /<>/docs/api/astropy.utils.metadata.MetaData.rst:7: WARNING: py:class reference target not found: object /<>/docs/api/astropy.utils.metadata.MetaData.rst:15: WARNING: py:obj reference target not found: str ["MetaData(doc='', copy=True)", ':module: astropy.utils.metadata', '', 'Bases: :class:`object`', '', '', '', 'A descriptor for classes that have a ``meta`` property.', '', 'This can be set to any valid `~collections.Mapping`.', '', ':Parameters:', '', ' **doc** : `str`, optional', '', ' Documentation for the attribute of the class.', ' Default is ``""``.', ' ', ' .. versionadded:: 1.2', ' ', '', ' **copy** : `bool`, optional', '', ' If ``True`` the the value is deepcopied before setting, otherwise it', ' is saved as reference.', ' Default is ``True``.', ' ', ' .. versionadded:: 1.2']:18: WARNING: py:obj reference target not found: bool /<>/docs/api/astropy.utils.misc.NumpyRNGContext.rst:7: WARNING: py:class reference target not found: object /<>/docs/api/astropy.utils.misc.OrderedDescriptor.rst:7: WARNING: py:class reference target not found: object /<>/docs/api/astropy.utils.misc.OrderedDescriptor.rst:13: WARNING: py:obj reference target not found: collections.OrderedDict /<>/docs/api/astropy.utils.misc.OrderedDescriptor.rst:13: WARNING: py:obj reference target not found: collections.OrderedDict ['OrderedDescriptorContainer(cls_name, bases, members)', ':module: astropy.utils.misc', '', 'Bases: :class:`type`', '', '', '', 'Classes should use this metaclass if they wish to use `OrderedDescriptor`', 'attributes, which are class attributes that "remember" the order in which', 'they were defined in the class body.', '', 'Every subclass of `OrderedDescriptor` has an attribute called', '``_class_attribute_``. For example, if we have', '', '.. code:: python', '', ' class ExampleDecorator(OrderedDescriptor):', " _class_attribute_ = '_examples_'", '', 'Then when a class with the `OrderedDescriptorContainer` metaclass is', 'created, it will automatically be assigned a class attribute ``_examples_``', 'referencing an `~collections.OrderedDict` containing all instances of', '``ExampleDecorator`` defined in the class body, mapped to by the names of', 'the attributes they were assigned to.', '', 'When subclassing a class with this metaclass, the descriptor dict (i.e.', '``_examples_`` in the above example) will *not* contain descriptors', 'inherited from the base class. That is, this only works by default with', 'decorators explicitly defined in the class body. However, the subclass', '*may* define an attribute ``_inherit_decorators_`` which lists', '`OrderedDescriptor` classes that *should* be added from base classes.', 'See the examples section below for an example of this.', '', '.. rubric:: Examples', '', '', '>>> from astropy.extern import six', '>>> from astropy.utils import OrderedDescriptor, OrderedDescriptorContainer', '>>> class TypedAttribute(OrderedDescriptor):', '... """', '... Attributes that may only be assigned objects of a specific type,', '... or subclasses thereof. For some reason we care about their order.', '... """', '...', "... _class_attribute_ = 'typed_attributes'", "... _name_attribute_ = 'name'", '... # A default name so that instances not attached to a class can', "... # still be repr'd; useful for debugging", "... name = ''", '...', '... def __init__(self, type):', '... # Make sure not to forget to call the super __init__', '... super(TypedAttribute, self).__init__()', '... self.type = type', '...', '... def __get__(self, obj, objtype=None):', '... if obj is None:', '... return self', '... if self.name in obj.__dict__:', '... return obj.__dict__[self.name]', '... else:', '... raise AttributeError(self.name)', '...', '... def __set__(self, obj, value):', '... if not isinstance(value, self.type):', "... raise ValueError('{0}.{1} must be of type {2!r}'.format(", '... obj.__class__.__name__, self.name, self.type))', '... obj.__dict__[self.name] = value', '...', '... def __delete__(self, obj):', '... if self.name in obj.__dict__:', '... del obj.__dict__[self.name]', '... else:', '... raise AttributeError(self.name)', '...', '... def __repr__(self):', '... if isinstance(self.type, tuple) and len(self.type) > 1:', "... typestr = '({0})'.format(", "... ', '.join(t.__name__ for t in self.type))", '... else:', '... typestr = self.type.__name__', "... return '<{0}(name={1}, type={2})>'.format(", '... self.__class__.__name__, self.name, typestr)', '...', '', "Now let's create an example class that uses this ``TypedAttribute``::", '', ' >>> @six.add_metaclass(OrderedDescriptorContainer)', ' ... class Point2D(object):', ' ... x = TypedAttribute((float, int))', ' ... y = TypedAttribute((float, int))', ' ...', ' ... def __init__(self, x, y):', ' ... self.x, self.y = x, y', ' ...', ' >>> p1 = Point2D(1.0, 2.0)', ' >>> p1.x', ' 1.0', ' >>> p1.y', ' 2.0', " >>> p2 = Point2D('a', 'b') # doctest: +IGNORE_EXCEPTION_DETAIL", ' Traceback (most recent call last):', ' ...', ' ValueError: Point2D.x must be of type (float, int>)', '', 'We see that ``TypedAttribute`` works more or less as advertised, but', "there's nothing special about that. Let's see what", '`OrderedDescriptorContainer` did for us::', '', ' >>> Point2D.typed_attributes', " OrderedDict([('x', ),", " ('y', )])", '', 'If we create a subclass, it does *not* by default add inherited descriptors', 'to ``typed_attributes``::', '', ' >>> class Point3D(Point2D):', ' ... z = TypedAttribute((float, int))', ' ...', ' >>> Point3D.typed_attributes', " OrderedDict([('z', )])", '', 'However, if we specify ``_inherit_descriptors_`` from ``Point2D`` then', 'it will do so::', '', ' >>> class Point3D(Point2D):', ' ... _inherit_descriptors_ = (TypedAttribute,)', ' ... z = TypedAttribute((float, int))', ' ...', ' >>> Point3D.typed_attributes', " OrderedDict([('x', ),", " ('y', ),", " ('z', )])", '', '.. note::', '', ' Hopefully it is clear from these examples that this construction', ' also allows a class of type `OrderedDescriptorContainer` to use', ' multiple different `OrderedDescriptor` classes simultaneously.']:17: WARNING: py:obj reference target not found: collections.OrderedDict /<>/docs/api/astropy.utils.misc.ShapedLikeNDArray.rst:7: WARNING: py:class reference target not found: object /<>/docs/api/astropy.utils.misc.ShapedLikeNDArray.rst:11: WARNING: py:obj reference target not found: numpy.ndarray /<>/docs/api/astropy.utils.misc.ShapedLikeNDArray.rst:16: WARNING: py:obj reference target not found: numpy.ndarray /<>/docs/api/astropy.utils.misc.ShapedLikeNDArray.rst:16: WARNING: py:obj reference target not found: numpy.ndarray.shape /<>/docs/api/astropy.utils.misc.ShapedLikeNDArray.rst:11: WARNING: py:attr reference target not found: numpy.ndarray.T /<>/docs/api/astropy.utils.misc.ShapedLikeNDArray.rst:11: WARNING: py:meth reference target not found: numpy.ndarray.copy /<>/docs/api/astropy.utils.misc.ShapedLikeNDArray.rst:11: WARNING: py:meth reference target not found: numpy.ndarray.diagonal /<>/docs/api/astropy.utils.misc.ShapedLikeNDArray.rst:11: WARNING: py:meth reference target not found: numpy.ndarray.flatten /<>/docs/api/astropy.utils.misc.ShapedLikeNDArray.rst:11: WARNING: py:meth reference target not found: numpy.ndarray.ravel /<>/docs/api/astropy.utils.misc.ShapedLikeNDArray.rst:11: WARNING: py:meth reference target not found: numpy.ndarray.reshape /<>/docs/api/astropy.utils.misc.ShapedLikeNDArray.rst:11: WARNING: py:func reference target not found: numpy.reshape /<>/docs/api/astropy.utils.misc.ShapedLikeNDArray.rst:11: WARNING: py:meth reference target not found: numpy.ndarray.squeeze /<>/docs/api/astropy.utils.misc.ShapedLikeNDArray.rst:11: WARNING: py:meth reference target not found: numpy.ndarray.swapaxes /<>/docs/api/astropy.utils.misc.ShapedLikeNDArray.rst:11: WARNING: py:meth reference target not found: numpy.ndarray.take /<>/docs/api/astropy.utils.misc.ShapedLikeNDArray.rst:11: WARNING: py:meth reference target not found: numpy.ndarray.transpose /<>/docs/api/astropy.utils.misc.check_broadcast.rst:16: WARNING: py:obj reference target not found: tuple ['check_broadcast(*shapes)', ':module: astropy.utils.misc', '', '', '', 'Determines whether two or more Numpy arrays can be broadcast with each', 'other based on their shape tuple alone.', '', '', ':Parameters:', '', ' ***shapes** : tuple', '', ' All shapes to include in the comparison. If only one shape is given it', ' is passed through unmodified. If no shapes are given returns an empty', ' `tuple`.', '', ':Returns:', '', ' **broadcast** : `tuple`', '', ' If all shapes are mutually broadcastable, returns a tuple of the full', ' broadcast shape.']:16: WARNING: py:obj reference target not found: tuple /<>/docs/api/astropy.utils.misc.find_api_page.rst:13: WARNING: py:obj reference target not found: False ['find_api_page(obj, version=None, openinbrowser=True, timeout=None)', ':module: astropy.utils.misc', '', '', '', 'Determines the URL of the API page for the specified object, and', 'optionally open that page in a web browser.', '', '.. note::', ' You must be connected to the internet for this to function even if', ' ``openinbrowser`` is `False`, unless you provide a local version of', ' the documentation to ``version`` (e.g., ``file:///path/to/docs``).', '', ':Parameters:', '', ' **obj**', '', ' The object to open the docs for or its fully-qualified name', ' (as a str).', '', ' **version** : str', '', " The doc version - either a version number like '0.1', 'dev' for", ' the development/latest docs, or a URL to point to a specific', ' location that should be the *base* of the documentation. Defaults to', " latest if you are on aren't on a release, otherwise, the version you", ' are on.', '', ' **openinbrowser** : bool', '', ' If `True`, the `webbrowser` package will be used to open the doc', ' page in a new web browser window.', '', ' **timeout** : number, optional', '', ' The number of seconds to wait before timing-out the query to', ' the astropy documentation. If not given, the default python', ' stdlib timeout will be used.', '', ':Returns:', '', ' **url** : str', '', ' The loaded URL', '', ':Raises:', '', ' **ValueError**', '', " If the documentation can't be found"]:28: WARNING: py:obj reference target not found: True ['find_api_page(obj, version=None, openinbrowser=True, timeout=None)', ':module: astropy.utils.misc', '', '', '', 'Determines the URL of the API page for the specified object, and', 'optionally open that page in a web browser.', '', '.. note::', ' You must be connected to the internet for this to function even if', ' ``openinbrowser`` is `False`, unless you provide a local version of', ' the documentation to ``version`` (e.g., ``file:///path/to/docs``).', '', ':Parameters:', '', ' **obj**', '', ' The object to open the docs for or its fully-qualified name', ' (as a str).', '', ' **version** : str', '', " The doc version - either a version number like '0.1', 'dev' for", ' the development/latest docs, or a URL to point to a specific', ' location that should be the *base* of the documentation. Defaults to', " latest if you are on aren't on a release, otherwise, the version you", ' are on.', '', ' **openinbrowser** : bool', '', ' If `True`, the `webbrowser` package will be used to open the doc', ' page in a new web browser window.', '', ' **timeout** : number, optional', '', ' The number of seconds to wait before timing-out the query to', ' the astropy documentation. If not given, the default python', ' stdlib timeout will be used.', '', ':Returns:', '', ' **url** : str', '', ' The loaded URL', '', ':Raises:', '', ' **ValueError**', '', " If the documentation can't be found"]:28: WARNING: py:obj reference target not found: webbrowser ['format_exception(msg, *args, **kwargs)', ':module: astropy.utils.misc', '', '', '', 'Given an exception message string, uses new-style formatting arguments', '``{filename}``, ``{lineno}``, ``{func}`` and/or ``{text}`` to fill in', 'information about the exception that occurred. For example:', '', ' try:', ' 1/0', ' except:', ' raise ZeroDivisionError(', " format_except('A divide by zero occurred in {filename} at '", " 'line {lineno} of function {func}.'))", '', 'Any additional positional or keyword arguments passed to this function are', 'also used to format the message.', '', '.. note::', ' This uses `sys.exc_info` to gather up the information needed to fill', ' in the formatting arguments. Python 2.x and 3.x have slightly', ' different behavior regarding `sys.exc_info` (the latter will not', " carry it outside a handled exception), so it's not wise to use this", ' outside of an ``except`` clause - if it is, this will substitute', " '' for the 4 formatting arguments."]:18: WARNING: py:obj reference target not found: sys.exc_info ['format_exception(msg, *args, **kwargs)', ':module: astropy.utils.misc', '', '', '', 'Given an exception message string, uses new-style formatting arguments', '``{filename}``, ``{lineno}``, ``{func}`` and/or ``{text}`` to fill in', 'information about the exception that occurred. For example:', '', ' try:', ' 1/0', ' except:', ' raise ZeroDivisionError(', " format_except('A divide by zero occurred in {filename} at '", " 'line {lineno} of function {func}.'))", '', 'Any additional positional or keyword arguments passed to this function are', 'also used to format the message.', '', '.. note::', ' This uses `sys.exc_info` to gather up the information needed to fill', ' in the formatting arguments. Python 2.x and 3.x have slightly', ' different behavior regarding `sys.exc_info` (the latter will not', " carry it outside a handled exception), so it's not wise to use this", ' outside of an ``except`` clause - if it is, this will substitute', " '' for the 4 formatting arguments."]:18: WARNING: py:obj reference target not found: sys.exc_info ['is_path_hidden(filepath)', ':module: astropy.utils.misc', '', '', '', 'Determines if a given file or directory is hidden.', '', '', ':Parameters:', '', ' **filepath** : str', '', ' The path to a file or directory', '', ':Returns:', '', ' **hidden** : bool', '', ' Returns `True` if the file is hidden']:15: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.utils.misc.isiterable.rst:9: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.utils.misc.walk_skip_hidden.rst:9: WARNING: py:obj reference target not found: os.walk /<>/docs/api/astropy.utils.misc.walk_skip_hidden.rst:11: WARNING: py:obj reference target not found: os.walk /<>/docs/api/astropy.utils.misc.walk_skip_hidden.rst:17: WARNING: py:obj reference target not found: os.walk /<>/docs/api/astropy.utils.state.ScienceState.rst:7: WARNING: py:class reference target not found: object /<>/docs/api/astropy.utils.timer.RunTimePredictor.rst:7: WARNING: py:class reference target not found: object /<>/docs/api/astropy.utils.timer.RunTimePredictor.rst:21: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.utils.timer.RunTimePredictor.rst:28: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.utils.timer.RunTimePredictor.rst:17: WARNING: py:obj reference target not found: matplotlib.axes.Axes ['timefunc(num_tries=1, verbose=True)', ':module: astropy.utils.timer', '', '', '', 'Decorator to time a function or method.', '', '', ':Parameters:', '', ' **num_tries** : int, optional', '', ' Number of calls to make. Timer will take the', ' average run time.', ' ', '', ' **verbose** : bool, optional', '', ' Extra log information.', '', ':Returns:', '', ' **tt** : float', '', ' Average run time in seconds.', ' ', '', ' result', '', ' Output(s) from the function.', '', '.. rubric:: Examples', '', '', 'To add timer to time `numpy.log` for 100 times with', 'verbose output::', '', ' import numpy as np', ' from astropy.utils.timer import timefunc', '', ' @timefunc(100)', ' def timed_log(x):', ' return np.log(x)', '', 'To run the decorated function above:', '', '>>> t, y = timed_log(100)', 'INFO: timed_log took 9.29832458496e-06 s on AVERAGE for 100 call(s). [...]', '>>> t', '9.298324584960938e-06', '>>> y', '4.6051701859880918']:28: WARNING: py:obj reference target not found: numpy.log /<>/docs/api/astropy.utils.xml.check.check_anyuri.rst:9: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.utils.xml.check.check_id.rst:9: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.utils.xml.check.check_mime_content_type.rst:9: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.utils.xml.check.check_token.rst:9: WARNING: py:obj reference target not found: True ['get_xml_iterator(source, _debug_python_based_parser=False)', ':module: astropy.utils.xml.iterparser', '', '', '', 'Returns an iterator over the elements of an XML file.', '', "The iterator doesn't ever build a tree, so it is much more memory", 'and time efficient than the alternative in ``cElementTree``.', '', ':Parameters:', '', ' **fd** : readable file-like object or read function', '', ' ', '', ':Returns:', '', ' **parts** : iterator', '', ' ', ' The iterator returns 4-tuples (*start*, *tag*, *data*, *pos*):', ' ', ' - *start*: when `True` is a start element event, otherwise', ' an end element event.', ' ', ' - *tag*: The name of the element', ' ', ' - *data*: Depends on the value of *event*:', ' ', ' - if *start* == `True`, data is a dictionary of', ' attributes', ' ', ' - if *start* == `False`, data is a string containing', ' the text content of the element', ' ', ' - *pos*: Tuple (*line*, *col*) indicating the source of the', ' event.']:18: WARNING: py:obj reference target not found: True ['get_xml_iterator(source, _debug_python_based_parser=False)', ':module: astropy.utils.xml.iterparser', '', '', '', 'Returns an iterator over the elements of an XML file.', '', "The iterator doesn't ever build a tree, so it is much more memory", 'and time efficient than the alternative in ``cElementTree``.', '', ':Parameters:', '', ' **fd** : readable file-like object or read function', '', ' ', '', ':Returns:', '', ' **parts** : iterator', '', ' ', ' The iterator returns 4-tuples (*start*, *tag*, *data*, *pos*):', ' ', ' - *start*: when `True` is a start element event, otherwise', ' an end element event.', ' ', ' - *tag*: The name of the element', ' ', ' - *data*: Depends on the value of *event*:', ' ', ' - if *start* == `True`, data is a dictionary of', ' attributes', ' ', ' - if *start* == `False`, data is a string containing', ' the text content of the element', ' ', ' - *pos*: Tuple (*line*, *col*) indicating the source of the', ' event.']:25: WARNING: py:obj reference target not found: True ['get_xml_iterator(source, _debug_python_based_parser=False)', ':module: astropy.utils.xml.iterparser', '', '', '', 'Returns an iterator over the elements of an XML file.', '', "The iterator doesn't ever build a tree, so it is much more memory", 'and time efficient than the alternative in ``cElementTree``.', '', ':Parameters:', '', ' **fd** : readable file-like object or read function', '', ' ', '', ':Returns:', '', ' **parts** : iterator', '', ' ', ' The iterator returns 4-tuples (*start*, *tag*, *data*, *pos*):', ' ', ' - *start*: when `True` is a start element event, otherwise', ' an end element event.', ' ', ' - *tag*: The name of the element', ' ', ' - *data*: Depends on the value of *event*:', ' ', ' - if *start* == `True`, data is a dictionary of', ' attributes', ' ', ' - if *start* == `False`, data is a string containing', ' the text content of the element', ' ', ' - *pos*: Tuple (*line*, *col*) indicating the source of the', ' event.']:28: WARNING: py:obj reference target not found: False /<>/docs/api/astropy.utils.xml.writer.XMLWriter.rst:7: WARNING: py:class reference target not found: object /<>/docs/api/astropy.utils.xml.writer.XMLWriter.rst:26: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.visualization.AsinhStretch.rst:20: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.visualization.AsinhStretch.rst:23: WARNING: py:obj reference target not found: numpy.ndarray /<>/docs/api/astropy.visualization.AsinhStretch.rst:30: WARNING: py:obj reference target not found: numpy.ndarray /<>/docs/api/astropy.visualization.AsymmetricPercentileInterval.rst:14: WARNING: py:obj reference target not found: numpy.ndarray /<>/docs/api/astropy.visualization.BaseInterval.rst:19: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.visualization.BaseInterval.rst:22: WARNING: py:obj reference target not found: numpy.ndarray /<>/docs/api/astropy.visualization.BaseInterval.rst:29: WARNING: py:obj reference target not found: numpy.ndarray /<>/docs/api/astropy.visualization.BaseInterval.rst:14: WARNING: py:obj reference target not found: numpy.ndarray /<>/docs/api/astropy.visualization.BaseStretch.rst:20: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.visualization.BaseStretch.rst:23: WARNING: py:obj reference target not found: numpy.ndarray /<>/docs/api/astropy.visualization.BaseStretch.rst:30: WARNING: py:obj reference target not found: numpy.ndarray /<>/docs/api/astropy.visualization.BaseTransform.rst:7: WARNING: py:class reference target not found: object /<>/docs/api/astropy.visualization.ContrastBiasStretch.rst:20: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.visualization.ContrastBiasStretch.rst:23: WARNING: py:obj reference target not found: numpy.ndarray /<>/docs/api/astropy.visualization.ContrastBiasStretch.rst:30: WARNING: py:obj reference target not found: numpy.ndarray /<>/docs/api/astropy.visualization.HistEqStretch.rst:20: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.visualization.HistEqStretch.rst:23: WARNING: py:obj reference target not found: numpy.ndarray /<>/docs/api/astropy.visualization.HistEqStretch.rst:30: WARNING: py:obj reference target not found: numpy.ndarray /<>/docs/api/astropy.visualization.ImageNormalize.rst:7: WARNING: py:class reference target not found: matplotlib.colors.Normalize /<>/docs/api/astropy.visualization.ImageNormalize.rst:13: WARNING: py:obj reference target not found: numpy.ndarray ['ImageNormalize(data=None, interval=None, vmin=None, vmax=None, stretch=, clip=False)', ':module: astropy.visualization', '', 'Bases: :class:`matplotlib.colors.Normalize`', '', '', '', 'Normalization class to be used with Matplotlib.', '', '', ':Parameters:', '', ' **data** : `~numpy.ndarray`, optional', '', ' The image array. This input is used only if ``interval`` is', ' also input. ``data`` and ``interval`` are used to compute the', ' vmin and/or vmax values only if ``vmin`` or ``vmax`` are not', ' input.', '', ' **interval** : `~astropy.visualization.BaseInterval` subclass instance, optional', '', ' The interval object to apply to the input ``data`` to determine', ' the ``vmin`` and ``vmax`` values. This input is used only if', ' ``data`` is also input. ``data`` and ``interval`` are used to', ' compute the vmin and/or vmax values only if ``vmin`` or ``vmax``', ' are not input.', '', ' **vmin, vmax** : float', '', ' The minimum and maximum levels to show for the data. The', ' ``vmin`` and ``vmax`` inputs override any calculated values from', ' the ``interval`` and ``data`` inputs.', '', ' **stretch** : `~astropy.visualization.BaseStretch` subclass instance, optional', '', ' The stretch object to apply to the data. The default is', ' `~astropy.visualization.LinearStretch`.', '', ' **clip** : bool, optional', '', ' If `True` (default), data values outside the [0:1] range are', ' clipped to the [0:1] range.', '', '.. rubric:: Methods Summary', '', '.. autosummary::', '', ' ~ImageNormalize.__call__', ' ~ImageNormalize.inverse', '', '.. rubric:: Methods Documentation', '', '.. automethod:: __call__', '.. automethod:: inverse']:37: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.visualization.LinearStretch.rst:20: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.visualization.LinearStretch.rst:23: WARNING: py:obj reference target not found: numpy.ndarray /<>/docs/api/astropy.visualization.LinearStretch.rst:30: WARNING: py:obj reference target not found: numpy.ndarray /<>/docs/api/astropy.visualization.LogStretch.rst:20: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.visualization.LogStretch.rst:23: WARNING: py:obj reference target not found: numpy.ndarray /<>/docs/api/astropy.visualization.LogStretch.rst:30: WARNING: py:obj reference target not found: numpy.ndarray /<>/docs/api/astropy.visualization.ManualInterval.rst:14: WARNING: py:obj reference target not found: numpy.ndarray /<>/docs/api/astropy.visualization.MinMaxInterval.rst:14: WARNING: py:obj reference target not found: numpy.ndarray /<>/docs/api/astropy.visualization.PowerDistStretch.rst:20: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.visualization.PowerDistStretch.rst:23: WARNING: py:obj reference target not found: numpy.ndarray /<>/docs/api/astropy.visualization.PowerDistStretch.rst:30: WARNING: py:obj reference target not found: numpy.ndarray /<>/docs/api/astropy.visualization.PowerStretch.rst:20: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.visualization.PowerStretch.rst:23: WARNING: py:obj reference target not found: numpy.ndarray /<>/docs/api/astropy.visualization.PowerStretch.rst:30: WARNING: py:obj reference target not found: numpy.ndarray /<>/docs/api/astropy.visualization.SinhStretch.rst:20: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.visualization.SinhStretch.rst:23: WARNING: py:obj reference target not found: numpy.ndarray /<>/docs/api/astropy.visualization.SinhStretch.rst:30: WARNING: py:obj reference target not found: numpy.ndarray /<>/docs/api/astropy.visualization.SqrtStretch.rst:20: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.visualization.SqrtStretch.rst:23: WARNING: py:obj reference target not found: numpy.ndarray /<>/docs/api/astropy.visualization.SqrtStretch.rst:30: WARNING: py:obj reference target not found: numpy.ndarray /<>/docs/api/astropy.visualization.ZScaleInterval.rst:14: WARNING: py:obj reference target not found: numpy.ndarray /<>/docs/api/astropy.visualization.make_lupton_rgb.rst:17: WARNING: py:obj reference target not found: numpy.ndarray ['make_lupton_rgb(image_r, image_g, image_b, minimum=0, stretch=5, Q=8, filename=None)', ':module: astropy.visualization', '', '', '', 'Return a Red/Green/Blue color image from up to 3 images using an asinh stretch.', 'The input images can be int or float, and in any range or bit-depth.', '', 'For a more detailed look at the use of this method, see the document', ':ref:`astropy-visualization-rgb`.', '', ':Parameters:', '', ' **image_r** : `~numpy.ndarray`', '', ' Image to map to red.', '', ' **image_g** : `~numpy.ndarray`', '', ' Image to map to green.', '', ' **image_b** : `~numpy.ndarray`', '', ' Image to map to blue.', '', ' **minimum** : float', '', ' Intensity that should be mapped to black (a scalar or array for R, G, B).', '', ' **stretch** : float', '', ' The linear stretch of the image.', '', ' **Q** : float', '', ' The asinh softening parameter.', '', ' **filename: str**', '', ' Write the resulting RGB image to a file (file type determined', ' from extension).', '', ':Returns:', '', ' **rgb** : `~numpy.ndarray`', '', ' RGB (integer, 8-bits per channel) color image as an NxNx3 numpy array.']:15: WARNING: py:obj reference target not found: numpy.ndarray ['make_lupton_rgb(image_r, image_g, image_b, minimum=0, stretch=5, Q=8, filename=None)', ':module: astropy.visualization', '', '', '', 'Return a Red/Green/Blue color image from up to 3 images using an asinh stretch.', 'The input images can be int or float, and in any range or bit-depth.', '', 'For a more detailed look at the use of this method, see the document', ':ref:`astropy-visualization-rgb`.', '', ':Parameters:', '', ' **image_r** : `~numpy.ndarray`', '', ' Image to map to red.', '', ' **image_g** : `~numpy.ndarray`', '', ' Image to map to green.', '', ' **image_b** : `~numpy.ndarray`', '', ' Image to map to blue.', '', ' **minimum** : float', '', ' Intensity that should be mapped to black (a scalar or array for R, G, B).', '', ' **stretch** : float', '', ' The linear stretch of the image.', '', ' **Q** : float', '', ' The asinh softening parameter.', '', ' **filename: str**', '', ' Write the resulting RGB image to a file (file type determined', ' from extension).', '', ':Returns:', '', ' **rgb** : `~numpy.ndarray`', '', ' RGB (integer, 8-bits per channel) color image as an NxNx3 numpy array.']:19: WARNING: py:obj reference target not found: numpy.ndarray ['make_lupton_rgb(image_r, image_g, image_b, minimum=0, stretch=5, Q=8, filename=None)', ':module: astropy.visualization', '', '', '', 'Return a Red/Green/Blue color image from up to 3 images using an asinh stretch.', 'The input images can be int or float, and in any range or bit-depth.', '', 'For a more detailed look at the use of this method, see the document', ':ref:`astropy-visualization-rgb`.', '', ':Parameters:', '', ' **image_r** : `~numpy.ndarray`', '', ' Image to map to red.', '', ' **image_g** : `~numpy.ndarray`', '', ' Image to map to green.', '', ' **image_b** : `~numpy.ndarray`', '', ' Image to map to blue.', '', ' **minimum** : float', '', ' Intensity that should be mapped to black (a scalar or array for R, G, B).', '', ' **stretch** : float', '', ' The linear stretch of the image.', '', ' **Q** : float', '', ' The asinh softening parameter.', '', ' **filename: str**', '', ' Write the resulting RGB image to a file (file type determined', ' from extension).', '', ':Returns:', '', ' **rgb** : `~numpy.ndarray`', '', ' RGB (integer, 8-bits per channel) color image as an NxNx3 numpy array.']:42: WARNING: py:obj reference target not found: numpy.ndarray /<>/docs/api/astropy.visualization.mpl_normalize.ImageNormalize.rst:7: WARNING: py:class reference target not found: matplotlib.colors.Normalize /<>/docs/api/astropy.visualization.mpl_normalize.ImageNormalize.rst:13: WARNING: py:obj reference target not found: numpy.ndarray ['ImageNormalize(data=None, interval=None, vmin=None, vmax=None, stretch=, clip=False)', ':module: astropy.visualization.mpl_normalize', '', 'Bases: :class:`matplotlib.colors.Normalize`', '', '', '', 'Normalization class to be used with Matplotlib.', '', '', ':Parameters:', '', ' **data** : `~numpy.ndarray`, optional', '', ' The image array. This input is used only if ``interval`` is', ' also input. ``data`` and ``interval`` are used to compute the', ' vmin and/or vmax values only if ``vmin`` or ``vmax`` are not', ' input.', '', ' **interval** : `~astropy.visualization.BaseInterval` subclass instance, optional', '', ' The interval object to apply to the input ``data`` to determine', ' the ``vmin`` and ``vmax`` values. This input is used only if', ' ``data`` is also input. ``data`` and ``interval`` are used to', ' compute the vmin and/or vmax values only if ``vmin`` or ``vmax``', ' are not input.', '', ' **vmin, vmax** : float', '', ' The minimum and maximum levels to show for the data. The', ' ``vmin`` and ``vmax`` inputs override any calculated values from', ' the ``interval`` and ``data`` inputs.', '', ' **stretch** : `~astropy.visualization.BaseStretch` subclass instance, optional', '', ' The stretch object to apply to the data. The default is', ' `~astropy.visualization.LinearStretch`.', '', ' **clip** : bool, optional', '', ' If `True` (default), data values outside the [0:1] range are', ' clipped to the [0:1] range.', '', '.. rubric:: Methods Summary', '', '.. autosummary::', '', ' ~ImageNormalize.__call__', ' ~ImageNormalize.inverse', '', '.. rubric:: Methods Documentation', '', '.. automethod:: __call__', '.. automethod:: inverse']:37: WARNING: py:obj reference target not found: True ["simple_norm(data, stretch='linear', power=1.0, asinh_a=0.1, min_cut=None, max_cut=None, min_percent=None, max_percent=None, percent=None, clip=True)", ':module: astropy.visualization.mpl_normalize', '', '', '', 'Return a Normalization class that can be used for displaying images', 'with Matplotlib.', '', 'This function enables only a subset of image stretching functions', 'available in `~astropy.visualization.mpl_normalize.ImageNormalize`.', '', 'This function is used by the', '``astropy.visualization.scripts.fits2bitmap`` script.', '', ':Parameters:', '', ' **data** : `~numpy.ndarray`', '', ' The image array.', ' ', '', " **stretch** : {'linear', 'sqrt', 'power', log', 'asinh'}, optional", '', ' The stretch function to apply to the image. The default is', " 'linear'.", ' ', '', ' **power** : float, optional', '', " The power index for ``stretch='power'``. The default is 1.0.", ' ', '', ' **asinh_a** : float, optional', '', " For ``stretch='asinh'``, the value where the asinh curve", ' transitions from linear to logarithmic behavior, expressed as a', ' fraction of the normalized image. Must be in the range between', ' 0 and 1. The default is 0.1.', ' ', '', ' **min_cut** : float, optional', '', ' The pixel value of the minimum cut level. Data values less than', ' ``min_cut`` will set to ``min_cut`` before stretching the image.', ' The default is the image minimum. ``min_cut`` overrides', ' ``min_percent``.', ' ', '', ' **max_cut** : float, optional', '', ' The pixel value of the maximum cut level. Data values greater', ' than ``min_cut`` will set to ``min_cut`` before stretching the', ' image. The default is the image maximum. ``max_cut`` overrides', ' ``max_percent``.', ' ', '', ' **min_percent** : float, optional', '', ' The percentile value used to determine the pixel value of', ' minimum cut level. The default is 0.0. ``min_percent``', ' overrides ``percent``.', ' ', '', ' **max_percent** : float, optional', '', ' The percentile value used to determine the pixel value of', ' maximum cut level. The default is 100.0. ``max_percent``', ' overrides ``percent``.', ' ', '', ' **percent** : float, optional', '', ' The percentage of the image values used to determine the pixel', ' values of the minimum and maximum cut levels. The lower cut', ' level will set at the ``(100 - percent) / 2`` percentile, while', ' the upper cut level will be set at the ``(100 + percent) / 2``', ' percentile. The default is 100.0. ``percent`` is ignored if', ' either ``min_percent`` or ``max_percent`` is input.', ' ', '', ' **clip** : bool, optional', '', ' If `True` (default), data values outside the [0:1] range are', ' clipped to the [0:1] range.', '', ':Returns:', '', ' **result** : `ImageNormalize` instance', '', ' An `ImageNormalize` instance that can be used for displaying', ' images with Matplotlib.']:14: WARNING: py:obj reference target not found: numpy.ndarray ["simple_norm(data, stretch='linear', power=1.0, asinh_a=0.1, min_cut=None, max_cut=None, min_percent=None, max_percent=None, percent=None, clip=True)", ':module: astropy.visualization.mpl_normalize', '', '', '', 'Return a Normalization class that can be used for displaying images', 'with Matplotlib.', '', 'This function enables only a subset of image stretching functions', 'available in `~astropy.visualization.mpl_normalize.ImageNormalize`.', '', 'This function is used by the', '``astropy.visualization.scripts.fits2bitmap`` script.', '', ':Parameters:', '', ' **data** : `~numpy.ndarray`', '', ' The image array.', ' ', '', " **stretch** : {'linear', 'sqrt', 'power', log', 'asinh'}, optional", '', ' The stretch function to apply to the image. The default is', " 'linear'.", ' ', '', ' **power** : float, optional', '', " The power index for ``stretch='power'``. The default is 1.0.", ' ', '', ' **asinh_a** : float, optional', '', " For ``stretch='asinh'``, the value where the asinh curve", ' transitions from linear to logarithmic behavior, expressed as a', ' fraction of the normalized image. Must be in the range between', ' 0 and 1. The default is 0.1.', ' ', '', ' **min_cut** : float, optional', '', ' The pixel value of the minimum cut level. Data values less than', ' ``min_cut`` will set to ``min_cut`` before stretching the image.', ' The default is the image minimum. ``min_cut`` overrides', ' ``min_percent``.', ' ', '', ' **max_cut** : float, optional', '', ' The pixel value of the maximum cut level. Data values greater', ' than ``min_cut`` will set to ``min_cut`` before stretching the', ' image. The default is the image maximum. ``max_cut`` overrides', ' ``max_percent``.', ' ', '', ' **min_percent** : float, optional', '', ' The percentile value used to determine the pixel value of', ' minimum cut level. The default is 0.0. ``min_percent``', ' overrides ``percent``.', ' ', '', ' **max_percent** : float, optional', '', ' The percentile value used to determine the pixel value of', ' maximum cut level. The default is 100.0. ``max_percent``', ' overrides ``percent``.', ' ', '', ' **percent** : float, optional', '', ' The percentage of the image values used to determine the pixel', ' values of the minimum and maximum cut levels. The lower cut', ' level will set at the ``(100 - percent) / 2`` percentile, while', ' the upper cut level will be set at the ``(100 + percent) / 2``', ' percentile. The default is 100.0. ``percent`` is ignored if', ' either ``min_percent`` or ``max_percent`` is input.', ' ', '', ' **clip** : bool, optional', '', ' If `True` (default), data values outside the [0:1] range are', ' clipped to the [0:1] range.', '', ':Returns:', '', ' **result** : `ImageNormalize` instance', '', ' An `ImageNormalize` instance that can be used for displaying', ' images with Matplotlib.']:71: WARNING: py:obj reference target not found: True ["simple_norm(data, stretch='linear', power=1.0, asinh_a=0.1, min_cut=None, max_cut=None, min_percent=None, max_percent=None, percent=None, clip=True)", ':module: astropy.visualization', '', '', '', 'Return a Normalization class that can be used for displaying images', 'with Matplotlib.', '', 'This function enables only a subset of image stretching functions', 'available in `~astropy.visualization.mpl_normalize.ImageNormalize`.', '', 'This function is used by the', '``astropy.visualization.scripts.fits2bitmap`` script.', '', ':Parameters:', '', ' **data** : `~numpy.ndarray`', '', ' The image array.', ' ', '', " **stretch** : {'linear', 'sqrt', 'power', log', 'asinh'}, optional", '', ' The stretch function to apply to the image. The default is', " 'linear'.", ' ', '', ' **power** : float, optional', '', " The power index for ``stretch='power'``. The default is 1.0.", ' ', '', ' **asinh_a** : float, optional', '', " For ``stretch='asinh'``, the value where the asinh curve", ' transitions from linear to logarithmic behavior, expressed as a', ' fraction of the normalized image. Must be in the range between', ' 0 and 1. The default is 0.1.', ' ', '', ' **min_cut** : float, optional', '', ' The pixel value of the minimum cut level. Data values less than', ' ``min_cut`` will set to ``min_cut`` before stretching the image.', ' The default is the image minimum. ``min_cut`` overrides', ' ``min_percent``.', ' ', '', ' **max_cut** : float, optional', '', ' The pixel value of the maximum cut level. Data values greater', ' than ``min_cut`` will set to ``min_cut`` before stretching the', ' image. The default is the image maximum. ``max_cut`` overrides', ' ``max_percent``.', ' ', '', ' **min_percent** : float, optional', '', ' The percentile value used to determine the pixel value of', ' minimum cut level. The default is 0.0. ``min_percent``', ' overrides ``percent``.', ' ', '', ' **max_percent** : float, optional', '', ' The percentile value used to determine the pixel value of', ' maximum cut level. The default is 100.0. ``max_percent``', ' overrides ``percent``.', ' ', '', ' **percent** : float, optional', '', ' The percentage of the image values used to determine the pixel', ' values of the minimum and maximum cut levels. The lower cut', ' level will set at the ``(100 - percent) / 2`` percentile, while', ' the upper cut level will be set at the ``(100 + percent) / 2``', ' percentile. The default is 100.0. ``percent`` is ignored if', ' either ``min_percent`` or ``max_percent`` is input.', ' ', '', ' **clip** : bool, optional', '', ' If `True` (default), data values outside the [0:1] range are', ' clipped to the [0:1] range.', '', ':Returns:', '', ' **result** : `ImageNormalize` instance', '', ' An `ImageNormalize` instance that can be used for displaying', ' images with Matplotlib.']:14: WARNING: py:obj reference target not found: numpy.ndarray ["simple_norm(data, stretch='linear', power=1.0, asinh_a=0.1, min_cut=None, max_cut=None, min_percent=None, max_percent=None, percent=None, clip=True)", ':module: astropy.visualization', '', '', '', 'Return a Normalization class that can be used for displaying images', 'with Matplotlib.', '', 'This function enables only a subset of image stretching functions', 'available in `~astropy.visualization.mpl_normalize.ImageNormalize`.', '', 'This function is used by the', '``astropy.visualization.scripts.fits2bitmap`` script.', '', ':Parameters:', '', ' **data** : `~numpy.ndarray`', '', ' The image array.', ' ', '', " **stretch** : {'linear', 'sqrt', 'power', log', 'asinh'}, optional", '', ' The stretch function to apply to the image. The default is', " 'linear'.", ' ', '', ' **power** : float, optional', '', " The power index for ``stretch='power'``. The default is 1.0.", ' ', '', ' **asinh_a** : float, optional', '', " For ``stretch='asinh'``, the value where the asinh curve", ' transitions from linear to logarithmic behavior, expressed as a', ' fraction of the normalized image. Must be in the range between', ' 0 and 1. The default is 0.1.', ' ', '', ' **min_cut** : float, optional', '', ' The pixel value of the minimum cut level. Data values less than', ' ``min_cut`` will set to ``min_cut`` before stretching the image.', ' The default is the image minimum. ``min_cut`` overrides', ' ``min_percent``.', ' ', '', ' **max_cut** : float, optional', '', ' The pixel value of the maximum cut level. Data values greater', ' than ``min_cut`` will set to ``min_cut`` before stretching the', ' image. The default is the image maximum. ``max_cut`` overrides', ' ``max_percent``.', ' ', '', ' **min_percent** : float, optional', '', ' The percentile value used to determine the pixel value of', ' minimum cut level. The default is 0.0. ``min_percent``', ' overrides ``percent``.', ' ', '', ' **max_percent** : float, optional', '', ' The percentile value used to determine the pixel value of', ' maximum cut level. The default is 100.0. ``max_percent``', ' overrides ``percent``.', ' ', '', ' **percent** : float, optional', '', ' The percentage of the image values used to determine the pixel', ' values of the minimum and maximum cut levels. The lower cut', ' level will set at the ``(100 - percent) / 2`` percentile, while', ' the upper cut level will be set at the ``(100 + percent) / 2``', ' percentile. The default is 100.0. ``percent`` is ignored if', ' either ``min_percent`` or ``max_percent`` is input.', ' ', '', ' **clip** : bool, optional', '', ' If `True` (default), data values outside the [0:1] range are', ' clipped to the [0:1] range.', '', ':Returns:', '', ' **result** : `ImageNormalize` instance', '', ' An `ImageNormalize` instance that can be used for displaying', ' images with Matplotlib.']:71: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.visualization.wcsaxes.CoordinateHelper.rst:7: WARNING: py:class reference target not found: object /<>/docs/api/astropy.visualization.wcsaxes.CoordinateHelper.rst:23: WARNING: py:obj reference target not found: matplotlib.transforms.Transform /<>/docs/api/astropy.visualization.wcsaxes.CoordinateHelper.rst:23: WARNING: py:class reference target not found: matplotlib.text.Text /<>/docs/api/astropy.visualization.wcsaxes.CoordinateHelper.rst:15: WARNING: py:class reference target not found: matplotlib.text.Text /<>/docs/api/astropy.visualization.wcsaxes.CoordinatesMap.rst:7: WARNING: py:class reference target not found: object /<>/docs/api/astropy.visualization.wcsaxes.CoordinatesMap.rst:25: WARNING: py:obj reference target not found: matplotlib.transforms.Transform /<>/docs/api/astropy.visualization.wcsaxes.CoordinatesMap.rst:32: WARNING: py:obj reference target not found: None ["CoordinatesMap(axes, wcs=None, transform=None, coord_meta=None, slice=None, frame_class=, previous_frame_path=None)", ':module: astropy.visualization.wcsaxes', '', 'Bases: :class:`object`', '', '', '', 'A container for coordinate helpers that represents a coordinate system.', '', 'This object can be used to access coordinate helpers by index (like a list)', 'or by name (like a dictionary).', '', ':Parameters:', '', ' **axes** : :class:`~astropy.visualization.wcsaxes.WCSAxes`', '', ' The axes the coordinate map belongs to.', '', ' **wcs** : :class:`~astropy.wcs.WCS`, optional', '', ' The WCS for the data. If this is specified, ``transform`` cannot be', ' specified.', '', ' **transform** : `~matplotlib.transforms.Transform`, optional', '', ' The transform for the data. If this is specified, ``wcs`` cannot be', ' specified.', '', ' **coord_meta** : dict, optional', '', ' A dictionary providing additional metadata when ``transform`` is', ' specified. This should include the keys ``type``, ``wrap``, and', ' ``unit``. Each of these should be a list with as many items as the', ' dimension of the WCS. The ``type`` entries should be one of', ' ``longitude``, ``latitude``, or ``scalar``, the ``wrap`` entries should', ' give, for the longitude, the angle at which the coordinate wraps (and', ' `None` otherwise), and the ``unit`` should give the unit of the', ' coordinates as :class:`~astropy.units.Unit` instances.', '', ' **slice** : tuple, optional', '', ' For WCS transformations with more than two dimensions, we need to', ' choose which dimensions are being shown in the 2D image. The slice', ' should contain one ``x`` entry, one ``y`` entry, and the rest of the', ' values should be integers indicating the slice through the data. The', ' order of the items in the slice should be the same as the order of the', ' dimensions in the :class:`~astropy.wcs.WCS`, and the opposite of the', " order of the dimensions in Numpy. For example, ``(50, 'x', 'y')`` means", ' that the first WCS dimension (last Numpy dimension) will be sliced at', ' an index of 50, the second WCS and Numpy dimension will be shown on the', ' x axis, and the final WCS dimension (first Numpy dimension) will be', ' shown on the y-axis (and therefore the data will be plotted using', ' ``data[:, :, 50].transpose()``)', '', ' **frame_class** : type, optional', '', ' The class for the frame, which should be a subclass of', ' :class:`~astropy.visualization.wcsaxes.frame.BaseFrame`. The default is to use a', ' :class:`~astropy.visualization.wcsaxes.frame.RectangularFrame`', '', ' **previous_frame_path** : `~matplotlib.path.Path`, optional', '', ' When changing the WCS of the axes, the frame instance will change but', ' we might want to keep re-using the same underlying matplotlib', ' `~matplotlib.path.Path` - in that case, this can be passed to this', ' keyword argument.', '', '.. rubric:: Methods Summary', '', '.. autosummary::', '', ' ~CoordinatesMap.get_coord_range', ' ~CoordinatesMap.grid', ' ~CoordinatesMap.set_visible', '', '.. rubric:: Methods Documentation', '', '.. automethod:: get_coord_range', '.. automethod:: grid', '.. automethod:: set_visible']:58: WARNING: py:obj reference target not found: matplotlib.path.Path ["CoordinatesMap(axes, wcs=None, transform=None, coord_meta=None, slice=None, frame_class=, previous_frame_path=None)", ':module: astropy.visualization.wcsaxes', '', 'Bases: :class:`object`', '', '', '', 'A container for coordinate helpers that represents a coordinate system.', '', 'This object can be used to access coordinate helpers by index (like a list)', 'or by name (like a dictionary).', '', ':Parameters:', '', ' **axes** : :class:`~astropy.visualization.wcsaxes.WCSAxes`', '', ' The axes the coordinate map belongs to.', '', ' **wcs** : :class:`~astropy.wcs.WCS`, optional', '', ' The WCS for the data. If this is specified, ``transform`` cannot be', ' specified.', '', ' **transform** : `~matplotlib.transforms.Transform`, optional', '', ' The transform for the data. If this is specified, ``wcs`` cannot be', ' specified.', '', ' **coord_meta** : dict, optional', '', ' A dictionary providing additional metadata when ``transform`` is', ' specified. This should include the keys ``type``, ``wrap``, and', ' ``unit``. Each of these should be a list with as many items as the', ' dimension of the WCS. The ``type`` entries should be one of', ' ``longitude``, ``latitude``, or ``scalar``, the ``wrap`` entries should', ' give, for the longitude, the angle at which the coordinate wraps (and', ' `None` otherwise), and the ``unit`` should give the unit of the', ' coordinates as :class:`~astropy.units.Unit` instances.', '', ' **slice** : tuple, optional', '', ' For WCS transformations with more than two dimensions, we need to', ' choose which dimensions are being shown in the 2D image. The slice', ' should contain one ``x`` entry, one ``y`` entry, and the rest of the', ' values should be integers indicating the slice through the data. The', ' order of the items in the slice should be the same as the order of the', ' dimensions in the :class:`~astropy.wcs.WCS`, and the opposite of the', " order of the dimensions in Numpy. For example, ``(50, 'x', 'y')`` means", ' that the first WCS dimension (last Numpy dimension) will be sliced at', ' an index of 50, the second WCS and Numpy dimension will be shown on the', ' x axis, and the final WCS dimension (first Numpy dimension) will be', ' shown on the y-axis (and therefore the data will be plotted using', ' ``data[:, :, 50].transpose()``)', '', ' **frame_class** : type, optional', '', ' The class for the frame, which should be a subclass of', ' :class:`~astropy.visualization.wcsaxes.frame.BaseFrame`. The default is to use a', ' :class:`~astropy.visualization.wcsaxes.frame.RectangularFrame`', '', ' **previous_frame_path** : `~matplotlib.path.Path`, optional', '', ' When changing the WCS of the axes, the frame instance will change but', ' we might want to keep re-using the same underlying matplotlib', ' `~matplotlib.path.Path` - in that case, this can be passed to this', ' keyword argument.', '', '.. rubric:: Methods Summary', '', '.. autosummary::', '', ' ~CoordinatesMap.get_coord_range', ' ~CoordinatesMap.grid', ' ~CoordinatesMap.set_visible', '', '.. rubric:: Methods Documentation', '', '.. automethod:: get_coord_range', '.. automethod:: grid', '.. automethod:: set_visible']:60: WARNING: py:obj reference target not found: matplotlib.path.Path /<>/docs/api/astropy.visualization.wcsaxes.SphericalCircle.rst:7: WARNING: py:class reference target not found: matplotlib.patches.Polygon ['SphericalCircle(center, radius, resolution=100, vertex_unit=Unit("deg"), **kwargs)', ':module: astropy.visualization.wcsaxes', '', 'Bases: :class:`matplotlib.patches.Polygon`', '', '', '', 'Create a patch representing a spherical circle - that is, a circle that is', 'formed of all the points that are within a certain angle of the central', 'coordinates on a sphere. Here we assume that latitude goes from -90 to +90', '', 'This class is needed in cases where the user wants to add a circular patch', 'to a celestial image, since otherwise the circle will be distorted, because', 'a fixed interval in longitude corresponds to a different angle on the sky', 'depending on the latitude.', '', ':Parameters:', '', ' **center** : tuple or `~astropy.units.Quantity`', '', ' This can be either a tuple of two `~astropy.units.Quantity` objects, or', ' a single `~astropy.units.Quantity` array with two elements.', '', ' **radius** : `~astropy.units.Quantity`', '', ' The radius of the circle', '', ' **resolution** : int, optional', '', ' The number of points that make up the circle - increase this to get a', ' smoother circle.', '', ' **vertex_unit** : `~astropy.units.Unit`', '', ' The units in which the resulting polygon should be defined - this', ' should match the unit that the transformation (e.g. the WCS', ' transformation) expects as input.', '', '.. rubric:: Notes', '', '', 'Additional keyword arguments are passed to `~matplotlib.patches.Polygon`']:38: WARNING: py:obj reference target not found: matplotlib.patches.Polygon /<>/docs/api/astropy.visualization.wcsaxes.WCSAxes.rst:7: WARNING: py:class reference target not found: matplotlib.axes._axes.Axes /<>/docs/api/astropy.visualization.wcsaxes.WCSAxes.rst:13: WARNING: py:obj reference target not found: matplotlib.figure.Figure /<>/docs/api/astropy.visualization.wcsaxes.WCSAxes.rst:27: WARNING: py:obj reference target not found: matplotlib.transforms.Transform /<>/docs/api/astropy.visualization.wcsaxes.WCSAxes.rst:34: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.visualization.wcsaxes.WCSAxes.rst:43: WARNING: py:obj reference target not found: matplotlib.transforms.Transform /<>/docs/api/astropy.visualization.wcsaxes.WCSAxes.rst:1: WARNING: py:meth reference target not found: matplotlib.axes.Axes.imshow /<>/docs/api/astropy.visualization.wcsaxes.WCSAxes.rst:15: WARNING: py:class reference target not found: matplotlib.transforms.Transform /<>/docs/api/astropy.visualization.wcsaxes.WCSAxes.rst:26: WARNING: py:class reference target not found: matplotlib.transforms.Transform /<>/docs/api/astropy.visualization.wcsaxes.WCSAxes.rst:11: WARNING: py:obj reference target not found: matplotlib.axes.Axes /<>/docs/api/astropy.visualization.wcsaxes.WCSAxes.rst:9: WARNING: py:meth reference target not found: matplotlib.axes.Axes.imshow /<>/docs/api/astropy.visualization.wcsaxes.WCSAxes.rst:17: WARNING: py:meth reference target not found: matplotlib.axes.Axes.imshow /<>/docs/api/astropy.visualization.wcsaxes.WCSAxes.rst:12: WARNING: py:obj reference target not found: matplotlib.axes.Axes.plot /<>/docs/api/astropy.visualization.wcsaxes.WCSAxes.rst:12: WARNING: py:obj reference target not found: matplotlib.axes.Axes.plot /<>/docs/api/astropy.visualization.wcsaxes.WCSAxes.rst:23: WARNING: py:obj reference target not found: matplotlib.axes.Axes.plot /<>/docs/api/astropy.visualization.wcsaxes.WCSAxes.rst:28: WARNING: py:obj reference target not found: matplotlib.axes.Axes.plot /<>/docs/api/astropy.visualization.wcsaxes.WCSAxesSubplot.rst:11: WARNING: py:class reference target not found: matplotlib.figure.Figure /<>/docs/api/astropy.visualization.wcsaxes.frame.BaseFrame.rst:7: WARNING: py:class reference target not found: collections.OrderedDict /<>/docs/api/astropy.visualization.wcsaxes.frame.Spine.rst:7: WARNING: py:class reference target not found: object /<>/docs/api/astropy.vo.client.async.AsyncBase.rst:7: WARNING: py:class reference target not found: object /<>/docs/api/astropy.vo.client.async.AsyncBase.rst:14: WARNING: py:class reference target not found: concurrent.futures.ThreadPoolExecutor /<>/docs/api/astropy.vo.client.async.AsyncBase.rst:16: WARNING: py:mod reference target not found: warnings ['AsyncBase(func, *args, **kwargs)', ':module: astropy.vo.client.async', '', 'Bases: :class:`object`', '', '', '', '.. deprecated:: 2.0', ' The AsyncBase class is deprecated and may be removed in a future version.', ' Use astroquery.vo_conesearch.async.AsyncBase instead.', '', 'Base class for asynchronous VO service requests', ' using :py:class:`concurrent.futures.ThreadPoolExecutor`.', '', ' Service request will be forced to run in silent', ' mode by setting ``verbose=False``. Warnings are controlled', ' by :py:mod:`warnings` module.', '', ' .. note::', '', ' Methods of the attributes can be accessed directly,', ' with priority given to ``executor``.', '', ':Parameters:', '', ' **func** : function', '', ' The function to run.', ' ', ' args, kwargs', ' Arguments and keywords accepted by the service request', ' function to be called asynchronously.', '', '.. rubric:: Attributes', '', '', '', '======== ==========', 'executor (:py:class:`concurrent.futures.ThreadPoolExecutor`) Executor running the function on single thread. future : :py:class:`concurrent.futures.Future` Asynchronous execution created by ``executor``. ', '======== ==========', '', '', '', '.. deprecated:: 2.0', ' The AsyncBase class is deprecated and may be removed in a future version.', ' Use astroquery.vo_conesearch.async.AsyncBase instead.', '', '\\ ', '', '.. rubric:: Methods Summary', '', '.. autosummary::', '', ' ~AsyncBase.get', '', '.. rubric:: Methods Documentation', '', '.. automethod:: get']:34: WARNING: py:class reference target not found: concurrent.futures.ThreadPoolExecutor ['AsyncBase(func, *args, **kwargs)', ':module: astropy.vo.client.async', '', 'Bases: :class:`object`', '', '', '', '.. deprecated:: 2.0', ' The AsyncBase class is deprecated and may be removed in a future version.', ' Use astroquery.vo_conesearch.async.AsyncBase instead.', '', 'Base class for asynchronous VO service requests', ' using :py:class:`concurrent.futures.ThreadPoolExecutor`.', '', ' Service request will be forced to run in silent', ' mode by setting ``verbose=False``. Warnings are controlled', ' by :py:mod:`warnings` module.', '', ' .. note::', '', ' Methods of the attributes can be accessed directly,', ' with priority given to ``executor``.', '', ':Parameters:', '', ' **func** : function', '', ' The function to run.', ' ', ' args, kwargs', ' Arguments and keywords accepted by the service request', ' function to be called asynchronously.', '', '.. rubric:: Attributes', '', '', '', '======== ==========', 'executor (:py:class:`concurrent.futures.ThreadPoolExecutor`) Executor running the function on single thread. future : :py:class:`concurrent.futures.Future` Asynchronous execution created by ``executor``. ', '======== ==========', '', '', '', '.. deprecated:: 2.0', ' The AsyncBase class is deprecated and may be removed in a future version.', ' Use astroquery.vo_conesearch.async.AsyncBase instead.', '', '\\ ', '', '.. rubric:: Methods Summary', '', '.. autosummary::', '', ' ~AsyncBase.get', '', '.. rubric:: Methods Documentation', '', '.. automethod:: get']:34: WARNING: py:class reference target not found: concurrent.futures.Future /<>/docs/api/astropy.vo.client.async.AsyncBase.rst:29: WARNING: py:class reference target not found: concurrent.futures.Future ['AsyncConeSearch(*args, **kwargs)', ':module: astropy.vo.client.conesearch', '', 'Bases: :class:`astropy.vo.client.async.AsyncBase`', '', '', '', '.. deprecated:: 2.0', ' The AsyncConeSearch class is deprecated and may be removed in a future version.', ' Use astroquery.vo_conesearch.conesearch.AsyncConeSearch instead.', '', 'Perform a Cone Search asynchronously and returns the result of the', ' first successful query.', '', ' .. note::', '', ' See `~astropy.vo.client.async.AsyncBase` for more details.', '', ':Parameters:', '', ' **args, kwargs** : see :func:`conesearch`', '', ' ', '', '.. rubric:: Examples', '', '', '>>> from astropy import coordinates as coord', '>>> from astropy import units as u', '>>> c = coord.ICRS(6.0223 * u.degree, -72.0814 * u.degree)', '>>> async_search = conesearch.AsyncConeSearch(', '... c, 0.5 * u.degree,', "... catalog_db='The PMM USNO-A1.0 Catalogue (Monet 1997) 1')", '', 'Check search status:', '', '>>> async_search.running()', 'True', '>>> async_search.done()', 'False', '', 'Get search results after a 30-second wait (not to be', 'confused with `astropy.utils.data.Conf.remote_timeout` that', 'governs individual Cone Search queries). If search is still not', 'done after 30 seconds, `TimeoutError` is raised. Otherwise,', 'Cone Search result is returned and can be manipulated as in', ':ref:`Simple Cone Search Examples `.', 'If no ``timeout`` keyword given, it waits until completion:', '', '>>> async_result = async_search.get(timeout=30)', '>>> cone_arr = async_result.array.data', '>>> cone_arr.size', '36184', '', '', '', '.. deprecated:: 2.0', ' The AsyncConeSearch class is deprecated and may be removed in a future version.', ' Use astroquery.vo_conesearch.conesearch.AsyncConeSearch instead.', '', '\\ ']:36: WARNING: py:obj reference target not found: TimeoutError ['AsyncSearchAll(*args, **kwargs)', ':module: astropy.vo.client.conesearch', '', 'Bases: :class:`astropy.vo.client.async.AsyncBase`', '', '', '', '.. deprecated:: 2.0', ' The AsyncSearchAll class is deprecated and may be removed in a future version.', ' Use astroquery.vo_conesearch.conesearch.AsyncSearchAll instead.', '', 'Perform a Cone Search asynchronously, storing all results', ' instead of just the result from first successful query.', '', ' .. note::', '', ' See `~astropy.vo.client.async.AsyncBase` for more details.', '', ':Parameters:', '', ' **args, kwargs** : see :func:`search_all`', '', ' ', '', '.. rubric:: Examples', '', '', '>>> from astropy import coordinates as coord', '>>> from astropy import units as u', '>>> c = coord.ICRS(6.0223 * u.degree, -72.0814 * u.degree)', '>>> async_search = conesearch.AsyncSearchAll(c, 0.5 * u.degree)', '', 'Check search status:', '', '>>> async_search.running()', 'True', '>>> async_search.done()', 'False', '', 'Get a dictionary of all search results after a 30-second wait (not', 'to be confused with `astropy.utils.data.Conf.remote_timeout` that', 'governs individual Cone Search queries). If search is still not', 'done after 30 seconds, `TimeoutError` is raised. Otherwise, a', 'dictionary is returned and can be manipulated as in :ref:`Simple', 'Cone Search Examples `. If no ``timeout``', 'keyword given, it waits until completion:', '', '>>> async_allresults = async_search.get(timeout=30)', '>>> all_catalogs = list(async_allresults)', '>>> first_cone_arr = async_allresults[all_catalogs[0]].array.data', '>>> first_cone_arr.size', '36184', '', '', '', '.. deprecated:: 2.0', ' The AsyncSearchAll class is deprecated and may be removed in a future version.', ' Use astroquery.vo_conesearch.conesearch.AsyncSearchAll instead.', '', '\\ ']:34: WARNING: py:obj reference target not found: TimeoutError ['conesearch(center, radius, verb=1, **kwargs)', ':module: astropy.vo.client.conesearch', '', '', '', '.. deprecated:: 2.0', ' The conesearch function is deprecated and may be removed in a future version.', ' Use astroquery.vo_conesearch.conesearch.conesearch instead.', '', 'Perform Cone Search and returns the result of the', ' first successful query.', '', ':Parameters:', '', ' **center** : `~astropy.coordinates.SkyCoord`, `~astropy.coordinates.BaseCoordinateFrame`, or sequence of length 2', '', ' Position of the center of the cone to search. It may be specified as an', ' object from the :ref:`astropy-coordinates` package, or as a length 2', ' sequence. If a sequence, it is assumed to be ``(RA, DEC)`` in the', ' ICRS coordinate frame, given in decimal degrees.', ' ', ' radius : float or `~astropy.units.quantity.Quantity`', ' Radius of the cone to search:', ' ', ' - If float is given, it is assumed to be in decimal degrees.', ' - If astropy quantity is given, it is internally converted', ' to degrees.', ' ', ' verb : {1, 2, 3}', ' Verbosity indicating how many columns are to be returned', ' in the resulting table. Support for this parameter by', ' a Cone Search service implementation is optional. If the', ' service supports the parameter:', ' ', ' 1. Return the bare minimum number of columns that', ' the provider considers useful in describing the', ' returned objects.', ' 2. Return a medium number of columns between the', ' minimum and maximum (inclusive) that are', ' considered by the provider to most typically', ' useful to the user.', ' 3. Return all of the columns that are available for', ' describing the objects.', ' ', ' If not supported, the service should ignore the parameter', ' and always return the same columns for every request.', ' ', ' catalog_db', ' May be one of the following, in order from easiest to', ' use to most control:', ' ', ' - `None`: A database of', ' `astropy.vo.Conf.conesearch_dbname` catalogs is', ' downloaded from `astropy.vo.Conf.vos_baseurl`. The', ' first catalog in the database to successfully return a', ' result is used.', ' ', ' - *catalog name*: A name in the database of', ' `astropy.vo.Conf.conesearch_dbname` catalogs at', ' `astropy.vo.Conf.vos_baseurl` is used. For a list of', ' acceptable names, use :func:`list_catalogs`.', ' ', ' - *url*: The prefix of a URL to a IVOA Service for', ' `astropy.vo.Conf.conesearch_dbname`. Must', " end in either '?' or '&'.", ' ', ' - `~astropy.vo.client.vos_catalog.VOSCatalog` object: A specific', ' catalog manually downloaded and selected from the database', ' (see :ref:`vo-sec-client-vos`).', ' ', ' - Any of the above 3 options combined in a list, in which case', ' they are tried in order.', ' ', ' pedantic : bool or `None`', ' When `True`, raise an error when the file violates the spec,', ' otherwise issue a warning. Warnings may be controlled using', ' :py:mod:`warnings` module. When not provided, uses the', ' configuration setting `astropy.io.votable.Conf.pedantic`,', ' which defaults to `False`.', ' ', ' verbose : bool', ' Verbose output.', ' ', ' cache : bool', ' Use caching for VO Service database. Access to actual VO', ' websites referenced by the database still needs internet', ' connection.', '', ':Returns:', '', ' **obj** : `astropy.io.votable.tree.Table`', '', ' First table from first successful VO service request.', '', ':Raises:', '', ' **ConeSearchError**', '', ' When invalid inputs are passed into Cone Search.', ' ', ' VOSError', ' If VO service request fails.']:49: WARNING: py:obj reference target not found: None ['conesearch(center, radius, verb=1, **kwargs)', ':module: astropy.vo.client.conesearch', '', '', '', '.. deprecated:: 2.0', ' The conesearch function is deprecated and may be removed in a future version.', ' Use astroquery.vo_conesearch.conesearch.conesearch instead.', '', 'Perform Cone Search and returns the result of the', ' first successful query.', '', ':Parameters:', '', ' **center** : `~astropy.coordinates.SkyCoord`, `~astropy.coordinates.BaseCoordinateFrame`, or sequence of length 2', '', ' Position of the center of the cone to search. It may be specified as an', ' object from the :ref:`astropy-coordinates` package, or as a length 2', ' sequence. If a sequence, it is assumed to be ``(RA, DEC)`` in the', ' ICRS coordinate frame, given in decimal degrees.', ' ', ' radius : float or `~astropy.units.quantity.Quantity`', ' Radius of the cone to search:', ' ', ' - If float is given, it is assumed to be in decimal degrees.', ' - If astropy quantity is given, it is internally converted', ' to degrees.', ' ', ' verb : {1, 2, 3}', ' Verbosity indicating how many columns are to be returned', ' in the resulting table. Support for this parameter by', ' a Cone Search service implementation is optional. If the', ' service supports the parameter:', ' ', ' 1. Return the bare minimum number of columns that', ' the provider considers useful in describing the', ' returned objects.', ' 2. Return a medium number of columns between the', ' minimum and maximum (inclusive) that are', ' considered by the provider to most typically', ' useful to the user.', ' 3. Return all of the columns that are available for', ' describing the objects.', ' ', ' If not supported, the service should ignore the parameter', ' and always return the same columns for every request.', ' ', ' catalog_db', ' May be one of the following, in order from easiest to', ' use to most control:', ' ', ' - `None`: A database of', ' `astropy.vo.Conf.conesearch_dbname` catalogs is', ' downloaded from `astropy.vo.Conf.vos_baseurl`. The', ' first catalog in the database to successfully return a', ' result is used.', ' ', ' - *catalog name*: A name in the database of', ' `astropy.vo.Conf.conesearch_dbname` catalogs at', ' `astropy.vo.Conf.vos_baseurl` is used. For a list of', ' acceptable names, use :func:`list_catalogs`.', ' ', ' - *url*: The prefix of a URL to a IVOA Service for', ' `astropy.vo.Conf.conesearch_dbname`. Must', " end in either '?' or '&'.", ' ', ' - `~astropy.vo.client.vos_catalog.VOSCatalog` object: A specific', ' catalog manually downloaded and selected from the database', ' (see :ref:`vo-sec-client-vos`).', ' ', ' - Any of the above 3 options combined in a list, in which case', ' they are tried in order.', ' ', ' pedantic : bool or `None`', ' When `True`, raise an error when the file violates the spec,', ' otherwise issue a warning. Warnings may be controlled using', ' :py:mod:`warnings` module. When not provided, uses the', ' configuration setting `astropy.io.votable.Conf.pedantic`,', ' which defaults to `False`.', ' ', ' verbose : bool', ' Verbose output.', ' ', ' cache : bool', ' Use caching for VO Service database. Access to actual VO', ' websites referenced by the database still needs internet', ' connection.', '', ':Returns:', '', ' **obj** : `astropy.io.votable.tree.Table`', '', ' First table from first successful VO service request.', '', ':Raises:', '', ' **ConeSearchError**', '', ' When invalid inputs are passed into Cone Search.', ' ', ' VOSError', ' If VO service request fails.']:75: WARNING: py:obj reference target not found: None ['conesearch(center, radius, verb=1, **kwargs)', ':module: astropy.vo.client.conesearch', '', '', '', '.. deprecated:: 2.0', ' The conesearch function is deprecated and may be removed in a future version.', ' Use astroquery.vo_conesearch.conesearch.conesearch instead.', '', 'Perform Cone Search and returns the result of the', ' first successful query.', '', ':Parameters:', '', ' **center** : `~astropy.coordinates.SkyCoord`, `~astropy.coordinates.BaseCoordinateFrame`, or sequence of length 2', '', ' Position of the center of the cone to search. It may be specified as an', ' object from the :ref:`astropy-coordinates` package, or as a length 2', ' sequence. If a sequence, it is assumed to be ``(RA, DEC)`` in the', ' ICRS coordinate frame, given in decimal degrees.', ' ', ' radius : float or `~astropy.units.quantity.Quantity`', ' Radius of the cone to search:', ' ', ' - If float is given, it is assumed to be in decimal degrees.', ' - If astropy quantity is given, it is internally converted', ' to degrees.', ' ', ' verb : {1, 2, 3}', ' Verbosity indicating how many columns are to be returned', ' in the resulting table. Support for this parameter by', ' a Cone Search service implementation is optional. If the', ' service supports the parameter:', ' ', ' 1. Return the bare minimum number of columns that', ' the provider considers useful in describing the', ' returned objects.', ' 2. Return a medium number of columns between the', ' minimum and maximum (inclusive) that are', ' considered by the provider to most typically', ' useful to the user.', ' 3. Return all of the columns that are available for', ' describing the objects.', ' ', ' If not supported, the service should ignore the parameter', ' and always return the same columns for every request.', ' ', ' catalog_db', ' May be one of the following, in order from easiest to', ' use to most control:', ' ', ' - `None`: A database of', ' `astropy.vo.Conf.conesearch_dbname` catalogs is', ' downloaded from `astropy.vo.Conf.vos_baseurl`. The', ' first catalog in the database to successfully return a', ' result is used.', ' ', ' - *catalog name*: A name in the database of', ' `astropy.vo.Conf.conesearch_dbname` catalogs at', ' `astropy.vo.Conf.vos_baseurl` is used. For a list of', ' acceptable names, use :func:`list_catalogs`.', ' ', ' - *url*: The prefix of a URL to a IVOA Service for', ' `astropy.vo.Conf.conesearch_dbname`. Must', " end in either '?' or '&'.", ' ', ' - `~astropy.vo.client.vos_catalog.VOSCatalog` object: A specific', ' catalog manually downloaded and selected from the database', ' (see :ref:`vo-sec-client-vos`).', ' ', ' - Any of the above 3 options combined in a list, in which case', ' they are tried in order.', ' ', ' pedantic : bool or `None`', ' When `True`, raise an error when the file violates the spec,', ' otherwise issue a warning. Warnings may be controlled using', ' :py:mod:`warnings` module. When not provided, uses the', ' configuration setting `astropy.io.votable.Conf.pedantic`,', ' which defaults to `False`.', ' ', ' verbose : bool', ' Verbose output.', ' ', ' cache : bool', ' Use caching for VO Service database. Access to actual VO', ' websites referenced by the database still needs internet', ' connection.', '', ':Returns:', '', ' **obj** : `astropy.io.votable.tree.Table`', '', ' First table from first successful VO service request.', '', ':Raises:', '', ' **ConeSearchError**', '', ' When invalid inputs are passed into Cone Search.', ' ', ' VOSError', ' If VO service request fails.']:72: WARNING: py:obj reference target not found: True ['conesearch(center, radius, verb=1, **kwargs)', ':module: astropy.vo.client.conesearch', '', '', '', '.. deprecated:: 2.0', ' The conesearch function is deprecated and may be removed in a future version.', ' Use astroquery.vo_conesearch.conesearch.conesearch instead.', '', 'Perform Cone Search and returns the result of the', ' first successful query.', '', ':Parameters:', '', ' **center** : `~astropy.coordinates.SkyCoord`, `~astropy.coordinates.BaseCoordinateFrame`, or sequence of length 2', '', ' Position of the center of the cone to search. It may be specified as an', ' object from the :ref:`astropy-coordinates` package, or as a length 2', ' sequence. If a sequence, it is assumed to be ``(RA, DEC)`` in the', ' ICRS coordinate frame, given in decimal degrees.', ' ', ' radius : float or `~astropy.units.quantity.Quantity`', ' Radius of the cone to search:', ' ', ' - If float is given, it is assumed to be in decimal degrees.', ' - If astropy quantity is given, it is internally converted', ' to degrees.', ' ', ' verb : {1, 2, 3}', ' Verbosity indicating how many columns are to be returned', ' in the resulting table. Support for this parameter by', ' a Cone Search service implementation is optional. If the', ' service supports the parameter:', ' ', ' 1. Return the bare minimum number of columns that', ' the provider considers useful in describing the', ' returned objects.', ' 2. Return a medium number of columns between the', ' minimum and maximum (inclusive) that are', ' considered by the provider to most typically', ' useful to the user.', ' 3. Return all of the columns that are available for', ' describing the objects.', ' ', ' If not supported, the service should ignore the parameter', ' and always return the same columns for every request.', ' ', ' catalog_db', ' May be one of the following, in order from easiest to', ' use to most control:', ' ', ' - `None`: A database of', ' `astropy.vo.Conf.conesearch_dbname` catalogs is', ' downloaded from `astropy.vo.Conf.vos_baseurl`. The', ' first catalog in the database to successfully return a', ' result is used.', ' ', ' - *catalog name*: A name in the database of', ' `astropy.vo.Conf.conesearch_dbname` catalogs at', ' `astropy.vo.Conf.vos_baseurl` is used. For a list of', ' acceptable names, use :func:`list_catalogs`.', ' ', ' - *url*: The prefix of a URL to a IVOA Service for', ' `astropy.vo.Conf.conesearch_dbname`. Must', " end in either '?' or '&'.", ' ', ' - `~astropy.vo.client.vos_catalog.VOSCatalog` object: A specific', ' catalog manually downloaded and selected from the database', ' (see :ref:`vo-sec-client-vos`).', ' ', ' - Any of the above 3 options combined in a list, in which case', ' they are tried in order.', ' ', ' pedantic : bool or `None`', ' When `True`, raise an error when the file violates the spec,', ' otherwise issue a warning. Warnings may be controlled using', ' :py:mod:`warnings` module. When not provided, uses the', ' configuration setting `astropy.io.votable.Conf.pedantic`,', ' which defaults to `False`.', ' ', ' verbose : bool', ' Verbose output.', ' ', ' cache : bool', ' Use caching for VO Service database. Access to actual VO', ' websites referenced by the database still needs internet', ' connection.', '', ':Returns:', '', ' **obj** : `astropy.io.votable.tree.Table`', '', ' First table from first successful VO service request.', '', ':Raises:', '', ' **ConeSearchError**', '', ' When invalid inputs are passed into Cone Search.', ' ', ' VOSError', ' If VO service request fails.']:72: WARNING: py:mod reference target not found: warnings ['conesearch(center, radius, verb=1, **kwargs)', ':module: astropy.vo.client.conesearch', '', '', '', '.. deprecated:: 2.0', ' The conesearch function is deprecated and may be removed in a future version.', ' Use astroquery.vo_conesearch.conesearch.conesearch instead.', '', 'Perform Cone Search and returns the result of the', ' first successful query.', '', ':Parameters:', '', ' **center** : `~astropy.coordinates.SkyCoord`, `~astropy.coordinates.BaseCoordinateFrame`, or sequence of length 2', '', ' Position of the center of the cone to search. It may be specified as an', ' object from the :ref:`astropy-coordinates` package, or as a length 2', ' sequence. If a sequence, it is assumed to be ``(RA, DEC)`` in the', ' ICRS coordinate frame, given in decimal degrees.', ' ', ' radius : float or `~astropy.units.quantity.Quantity`', ' Radius of the cone to search:', ' ', ' - If float is given, it is assumed to be in decimal degrees.', ' - If astropy quantity is given, it is internally converted', ' to degrees.', ' ', ' verb : {1, 2, 3}', ' Verbosity indicating how many columns are to be returned', ' in the resulting table. Support for this parameter by', ' a Cone Search service implementation is optional. If the', ' service supports the parameter:', ' ', ' 1. Return the bare minimum number of columns that', ' the provider considers useful in describing the', ' returned objects.', ' 2. Return a medium number of columns between the', ' minimum and maximum (inclusive) that are', ' considered by the provider to most typically', ' useful to the user.', ' 3. Return all of the columns that are available for', ' describing the objects.', ' ', ' If not supported, the service should ignore the parameter', ' and always return the same columns for every request.', ' ', ' catalog_db', ' May be one of the following, in order from easiest to', ' use to most control:', ' ', ' - `None`: A database of', ' `astropy.vo.Conf.conesearch_dbname` catalogs is', ' downloaded from `astropy.vo.Conf.vos_baseurl`. The', ' first catalog in the database to successfully return a', ' result is used.', ' ', ' - *catalog name*: A name in the database of', ' `astropy.vo.Conf.conesearch_dbname` catalogs at', ' `astropy.vo.Conf.vos_baseurl` is used. For a list of', ' acceptable names, use :func:`list_catalogs`.', ' ', ' - *url*: The prefix of a URL to a IVOA Service for', ' `astropy.vo.Conf.conesearch_dbname`. Must', " end in either '?' or '&'.", ' ', ' - `~astropy.vo.client.vos_catalog.VOSCatalog` object: A specific', ' catalog manually downloaded and selected from the database', ' (see :ref:`vo-sec-client-vos`).', ' ', ' - Any of the above 3 options combined in a list, in which case', ' they are tried in order.', ' ', ' pedantic : bool or `None`', ' When `True`, raise an error when the file violates the spec,', ' otherwise issue a warning. Warnings may be controlled using', ' :py:mod:`warnings` module. When not provided, uses the', ' configuration setting `astropy.io.votable.Conf.pedantic`,', ' which defaults to `False`.', ' ', ' verbose : bool', ' Verbose output.', ' ', ' cache : bool', ' Use caching for VO Service database. Access to actual VO', ' websites referenced by the database still needs internet', ' connection.', '', ':Returns:', '', ' **obj** : `astropy.io.votable.tree.Table`', '', ' First table from first successful VO service request.', '', ':Raises:', '', ' **ConeSearchError**', '', ' When invalid inputs are passed into Cone Search.', ' ', ' VOSError', ' If VO service request fails.']:72: WARNING: py:obj reference target not found: False ['list_catalogs(**kwargs)', ':module: astropy.vo.client.conesearch', '', '', '', '.. deprecated:: 2.0', ' The list_catalogs function is deprecated and may be removed in a future version.', ' Use astroquery.vo_conesearch.conesearch.list_catalogs instead.', '', 'Return the available Cone Search catalogs as a list of strings.', ' These can be used for the ``catalog_db`` argument to', ' :func:`conesearch`.', '', ':Parameters:', '', ' **cache** : bool', '', ' Use caching for VO Service database. Access to actual VO', ' websites referenced by the database still needs internet', ' connection.', ' ', ' verbose : bool', ' Show download progress bars.', ' ', ' pattern : str or `None`', ' If given string is anywhere in a catalog name, it is', ' considered a matching catalog. It accepts patterns as', ' in :py:mod:`fnmatch` and is case-insensitive.', ' By default, all catalogs are returned.', ' ', ' sort : bool', ' Sort output in alphabetical order. If not sorted, the', ' order depends on dictionary hashing. Default is `True`.', '', ':Returns:', '', ' **arr** : list of str', '', ' List of catalog names.']:25: WARNING: py:obj reference target not found: None ['list_catalogs(**kwargs)', ':module: astropy.vo.client.conesearch', '', '', '', '.. deprecated:: 2.0', ' The list_catalogs function is deprecated and may be removed in a future version.', ' Use astroquery.vo_conesearch.conesearch.list_catalogs instead.', '', 'Return the available Cone Search catalogs as a list of strings.', ' These can be used for the ``catalog_db`` argument to', ' :func:`conesearch`.', '', ':Parameters:', '', ' **cache** : bool', '', ' Use caching for VO Service database. Access to actual VO', ' websites referenced by the database still needs internet', ' connection.', ' ', ' verbose : bool', ' Show download progress bars.', ' ', ' pattern : str or `None`', ' If given string is anywhere in a catalog name, it is', ' considered a matching catalog. It accepts patterns as', ' in :py:mod:`fnmatch` and is case-insensitive.', ' By default, all catalogs are returned.', ' ', ' sort : bool', ' Sort output in alphabetical order. If not sorted, the', ' order depends on dictionary hashing. Default is `True`.', '', ':Returns:', '', ' **arr** : list of str', '', ' List of catalog names.']:23: WARNING: py:mod reference target not found: fnmatch ['list_catalogs(**kwargs)', ':module: astropy.vo.client.conesearch', '', '', '', '.. deprecated:: 2.0', ' The list_catalogs function is deprecated and may be removed in a future version.', ' Use astroquery.vo_conesearch.conesearch.list_catalogs instead.', '', 'Return the available Cone Search catalogs as a list of strings.', ' These can be used for the ``catalog_db`` argument to', ' :func:`conesearch`.', '', ':Parameters:', '', ' **cache** : bool', '', ' Use caching for VO Service database. Access to actual VO', ' websites referenced by the database still needs internet', ' connection.', ' ', ' verbose : bool', ' Show download progress bars.', ' ', ' pattern : str or `None`', ' If given string is anywhere in a catalog name, it is', ' considered a matching catalog. It accepts patterns as', ' in :py:mod:`fnmatch` and is case-insensitive.', ' By default, all catalogs are returned.', ' ', ' sort : bool', ' Sort output in alphabetical order. If not sorted, the', ' order depends on dictionary hashing. Default is `True`.', '', ':Returns:', '', ' **arr** : list of str', '', ' List of catalog names.']:29: WARNING: py:obj reference target not found: True ['predict_search(url, *args, **kwargs)', ':module: astropy.vo.client.conesearch', '', '', '', '.. deprecated:: 2.0', ' The predict_search function is deprecated and may be removed in a future version.', ' Use astroquery.vo_conesearch.conesearch.predict_search instead.', '', 'Predict the run time needed and the number of objects', ' for a Cone Search for the given access URL, position, and', ' radius.', '', ' Run time prediction uses `astropy.utils.timer.RunTimePredictor`.', ' Baseline searches are done with starting and ending radii at', ' 0.05 and 0.5 of the given radius, respectively.', '', ' Extrapolation on good data uses least-square straight line fitting,', ' assuming linear increase of search time and number of objects', ' with radius, which might not be accurate for some cases. If', ' there are less than 3 data points in the fit, it fails.', '', ' Warnings (controlled by :py:mod:`warnings`) are given when:', '', ' #. Fitted slope is negative.', ' #. Any of the estimated results is negative.', ' #. Estimated run time exceeds', ' `astropy.utils.data.Conf.remote_timeout`.', '', ' .. note::', '', ' If ``verbose=True``, extra log info will be provided.', ' But unlike :func:`conesearch_timer`, timer info is suppressed.', '', ' If ``plot=True``, plot will be displayed.', ' Plotting uses `matplotlib `_.', '', ' The predicted results are just *rough* estimates.', '', ' Prediction is done using :func:`conesearch`. Prediction for', ' `AsyncConeSearch` is not supported.', '', ':Parameters:', '', ' **url** : str', '', ' Cone Search access URL to use.', ' ', ' args, kwargs : see :func:`conesearch`', ' Extra keyword ``plot`` is allowed and only used by this', ' function and not :func:`conesearch`.', '', ':Returns:', '', ' **t_est** : float', '', ' Estimated time in seconds needed for the search.', ' ', ' n_est : int', ' Estimated number of objects the search will yield.', '', ':Raises:', '', ' **AssertionError**', '', ' If prediction fails.', ' ', ' ConeSearchError', ' If input parameters are invalid.', ' ', ' VOSError', ' If VO service request fails.']:20: WARNING: py:mod reference target not found: warnings /<>/docs/api/astropy.vo.client.vos_catalog.VOSBase.rst:7: WARNING: py:class reference target not found: object /<>/docs/api/astropy.vo.client.vos_catalog.VOSDatabase.rst:19: WARNING: py:obj reference target not found: False /<>/docs/api/astropy.vo.client.vos_catalog.VOSDatabase.rst:13: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.vo.client.vos_catalog.VOSDatabase.rst:15: WARNING: py:mod reference target not found: fnmatch /<>/docs/api/astropy.vo.client.vos_catalog.VOSDatabase.rst:22: WARNING: py:obj reference target not found: True ['call_vo_service(service_type, catalog_db=None, pedantic=None, verbose=True, cache=True, kwargs={})', ':module: astropy.vo.client.vos_catalog', '', '', '', '.. deprecated:: 2.0', ' The call_vo_service function is deprecated and may be removed in a future version.', ' Use astroquery.vo_conesearch.vos_catalog.call_vo_service instead.', '', 'Makes a generic VO service call.', '', ':Parameters:', '', ' **service_type** : str', '', " Name of the type of service, e.g., 'conesearch_good'.", ' Used in error messages and to select a catalog database', ' if ``catalog_db`` is not provided.', ' ', ' catalog_db', ' May be one of the following, in order from easiest to', ' use to most control:', ' ', ' - `None`: A database of ``service_type`` catalogs is', ' downloaded from `astropy.vo.Conf.vos_baseurl`. The', ' first catalog in the database to successfully return a', ' result is used.', ' ', ' - *catalog name*: A name in the database of', ' ``service_type`` catalogs at', ' `astropy.vo.Conf.vos_baseurl` is used. For a list of', ' acceptable names, use :func:`list_catalogs`.', ' ', ' - *url*: The prefix of a URL to a IVOA Service for', " ``service_type``. Must end in either '?' or '&'.", ' ', ' - `VOSCatalog` object: A specific catalog manually downloaded and', ' selected from the database (see :ref:`vo-sec-client-vos`).', ' ', ' - Any of the above 3 options combined in a list, in which case', ' they are tried in order.', ' ', ' pedantic : bool or `None`', ' When `True`, raise an error when the file violates the spec,', ' otherwise issue a warning. Warnings may be controlled using', ' :py:mod:`warnings` module. When not provided, uses the', ' configuration setting `astropy.io.votable.Conf.pedantic`, which', ' defaults to `False`.', ' ', ' verbose : bool', ' Verbose output.', ' ', ' cache : bool', ' Use caching for VO Service database. Access to actual VO', ' websites referenced by the database still needs internet', ' connection.', ' ', ' kwargs : dictionary', ' Keyword arguments to pass to the catalog service.', ' No checking is done that the arguments are accepted by', ' the service, etc.', '', ':Returns:', '', ' **obj** : `astropy.io.votable.tree.Table`', '', ' First table from first successful VO service request.', '', ':Raises:', '', ' **VOSError**', '', ' If VO service request fails.']:21: WARNING: py:obj reference target not found: None ['call_vo_service(service_type, catalog_db=None, pedantic=None, verbose=True, cache=True, kwargs={})', ':module: astropy.vo.client.vos_catalog', '', '', '', '.. deprecated:: 2.0', ' The call_vo_service function is deprecated and may be removed in a future version.', ' Use astroquery.vo_conesearch.vos_catalog.call_vo_service instead.', '', 'Makes a generic VO service call.', '', ':Parameters:', '', ' **service_type** : str', '', " Name of the type of service, e.g., 'conesearch_good'.", ' Used in error messages and to select a catalog database', ' if ``catalog_db`` is not provided.', ' ', ' catalog_db', ' May be one of the following, in order from easiest to', ' use to most control:', ' ', ' - `None`: A database of ``service_type`` catalogs is', ' downloaded from `astropy.vo.Conf.vos_baseurl`. The', ' first catalog in the database to successfully return a', ' result is used.', ' ', ' - *catalog name*: A name in the database of', ' ``service_type`` catalogs at', ' `astropy.vo.Conf.vos_baseurl` is used. For a list of', ' acceptable names, use :func:`list_catalogs`.', ' ', ' - *url*: The prefix of a URL to a IVOA Service for', " ``service_type``. Must end in either '?' or '&'.", ' ', ' - `VOSCatalog` object: A specific catalog manually downloaded and', ' selected from the database (see :ref:`vo-sec-client-vos`).', ' ', ' - Any of the above 3 options combined in a list, in which case', ' they are tried in order.', ' ', ' pedantic : bool or `None`', ' When `True`, raise an error when the file violates the spec,', ' otherwise issue a warning. Warnings may be controlled using', ' :py:mod:`warnings` module. When not provided, uses the', ' configuration setting `astropy.io.votable.Conf.pedantic`, which', ' defaults to `False`.', ' ', ' verbose : bool', ' Verbose output.', ' ', ' cache : bool', ' Use caching for VO Service database. Access to actual VO', ' websites referenced by the database still needs internet', ' connection.', ' ', ' kwargs : dictionary', ' Keyword arguments to pass to the catalog service.', ' No checking is done that the arguments are accepted by', ' the service, etc.', '', ':Returns:', '', ' **obj** : `astropy.io.votable.tree.Table`', '', ' First table from first successful VO service request.', '', ':Raises:', '', ' **VOSError**', '', ' If VO service request fails.']:44: WARNING: py:obj reference target not found: None ['call_vo_service(service_type, catalog_db=None, pedantic=None, verbose=True, cache=True, kwargs={})', ':module: astropy.vo.client.vos_catalog', '', '', '', '.. deprecated:: 2.0', ' The call_vo_service function is deprecated and may be removed in a future version.', ' Use astroquery.vo_conesearch.vos_catalog.call_vo_service instead.', '', 'Makes a generic VO service call.', '', ':Parameters:', '', ' **service_type** : str', '', " Name of the type of service, e.g., 'conesearch_good'.", ' Used in error messages and to select a catalog database', ' if ``catalog_db`` is not provided.', ' ', ' catalog_db', ' May be one of the following, in order from easiest to', ' use to most control:', ' ', ' - `None`: A database of ``service_type`` catalogs is', ' downloaded from `astropy.vo.Conf.vos_baseurl`. The', ' first catalog in the database to successfully return a', ' result is used.', ' ', ' - *catalog name*: A name in the database of', ' ``service_type`` catalogs at', ' `astropy.vo.Conf.vos_baseurl` is used. For a list of', ' acceptable names, use :func:`list_catalogs`.', ' ', ' - *url*: The prefix of a URL to a IVOA Service for', " ``service_type``. Must end in either '?' or '&'.", ' ', ' - `VOSCatalog` object: A specific catalog manually downloaded and', ' selected from the database (see :ref:`vo-sec-client-vos`).', ' ', ' - Any of the above 3 options combined in a list, in which case', ' they are tried in order.', ' ', ' pedantic : bool or `None`', ' When `True`, raise an error when the file violates the spec,', ' otherwise issue a warning. Warnings may be controlled using', ' :py:mod:`warnings` module. When not provided, uses the', ' configuration setting `astropy.io.votable.Conf.pedantic`, which', ' defaults to `False`.', ' ', ' verbose : bool', ' Verbose output.', ' ', ' cache : bool', ' Use caching for VO Service database. Access to actual VO', ' websites referenced by the database still needs internet', ' connection.', ' ', ' kwargs : dictionary', ' Keyword arguments to pass to the catalog service.', ' No checking is done that the arguments are accepted by', ' the service, etc.', '', ':Returns:', '', ' **obj** : `astropy.io.votable.tree.Table`', '', ' First table from first successful VO service request.', '', ':Raises:', '', ' **VOSError**', '', ' If VO service request fails.']:41: WARNING: py:obj reference target not found: True ['call_vo_service(service_type, catalog_db=None, pedantic=None, verbose=True, cache=True, kwargs={})', ':module: astropy.vo.client.vos_catalog', '', '', '', '.. deprecated:: 2.0', ' The call_vo_service function is deprecated and may be removed in a future version.', ' Use astroquery.vo_conesearch.vos_catalog.call_vo_service instead.', '', 'Makes a generic VO service call.', '', ':Parameters:', '', ' **service_type** : str', '', " Name of the type of service, e.g., 'conesearch_good'.", ' Used in error messages and to select a catalog database', ' if ``catalog_db`` is not provided.', ' ', ' catalog_db', ' May be one of the following, in order from easiest to', ' use to most control:', ' ', ' - `None`: A database of ``service_type`` catalogs is', ' downloaded from `astropy.vo.Conf.vos_baseurl`. The', ' first catalog in the database to successfully return a', ' result is used.', ' ', ' - *catalog name*: A name in the database of', ' ``service_type`` catalogs at', ' `astropy.vo.Conf.vos_baseurl` is used. For a list of', ' acceptable names, use :func:`list_catalogs`.', ' ', ' - *url*: The prefix of a URL to a IVOA Service for', " ``service_type``. Must end in either '?' or '&'.", ' ', ' - `VOSCatalog` object: A specific catalog manually downloaded and', ' selected from the database (see :ref:`vo-sec-client-vos`).', ' ', ' - Any of the above 3 options combined in a list, in which case', ' they are tried in order.', ' ', ' pedantic : bool or `None`', ' When `True`, raise an error when the file violates the spec,', ' otherwise issue a warning. Warnings may be controlled using', ' :py:mod:`warnings` module. When not provided, uses the', ' configuration setting `astropy.io.votable.Conf.pedantic`, which', ' defaults to `False`.', ' ', ' verbose : bool', ' Verbose output.', ' ', ' cache : bool', ' Use caching for VO Service database. Access to actual VO', ' websites referenced by the database still needs internet', ' connection.', ' ', ' kwargs : dictionary', ' Keyword arguments to pass to the catalog service.', ' No checking is done that the arguments are accepted by', ' the service, etc.', '', ':Returns:', '', ' **obj** : `astropy.io.votable.tree.Table`', '', ' First table from first successful VO service request.', '', ':Raises:', '', ' **VOSError**', '', ' If VO service request fails.']:41: WARNING: py:mod reference target not found: warnings ['call_vo_service(service_type, catalog_db=None, pedantic=None, verbose=True, cache=True, kwargs={})', ':module: astropy.vo.client.vos_catalog', '', '', '', '.. deprecated:: 2.0', ' The call_vo_service function is deprecated and may be removed in a future version.', ' Use astroquery.vo_conesearch.vos_catalog.call_vo_service instead.', '', 'Makes a generic VO service call.', '', ':Parameters:', '', ' **service_type** : str', '', " Name of the type of service, e.g., 'conesearch_good'.", ' Used in error messages and to select a catalog database', ' if ``catalog_db`` is not provided.', ' ', ' catalog_db', ' May be one of the following, in order from easiest to', ' use to most control:', ' ', ' - `None`: A database of ``service_type`` catalogs is', ' downloaded from `astropy.vo.Conf.vos_baseurl`. The', ' first catalog in the database to successfully return a', ' result is used.', ' ', ' - *catalog name*: A name in the database of', ' ``service_type`` catalogs at', ' `astropy.vo.Conf.vos_baseurl` is used. For a list of', ' acceptable names, use :func:`list_catalogs`.', ' ', ' - *url*: The prefix of a URL to a IVOA Service for', " ``service_type``. Must end in either '?' or '&'.", ' ', ' - `VOSCatalog` object: A specific catalog manually downloaded and', ' selected from the database (see :ref:`vo-sec-client-vos`).', ' ', ' - Any of the above 3 options combined in a list, in which case', ' they are tried in order.', ' ', ' pedantic : bool or `None`', ' When `True`, raise an error when the file violates the spec,', ' otherwise issue a warning. Warnings may be controlled using', ' :py:mod:`warnings` module. When not provided, uses the', ' configuration setting `astropy.io.votable.Conf.pedantic`, which', ' defaults to `False`.', ' ', ' verbose : bool', ' Verbose output.', ' ', ' cache : bool', ' Use caching for VO Service database. Access to actual VO', ' websites referenced by the database still needs internet', ' connection.', ' ', ' kwargs : dictionary', ' Keyword arguments to pass to the catalog service.', ' No checking is done that the arguments are accepted by', ' the service, etc.', '', ':Returns:', '', ' **obj** : `astropy.io.votable.tree.Table`', '', ' First table from first successful VO service request.', '', ':Raises:', '', ' **VOSError**', '', ' If VO service request fails.']:41: WARNING: py:obj reference target not found: False ['list_catalogs(service_type, cache=True, verbose=True, **kwargs)', ':module: astropy.vo.client.vos_catalog', '', '', '', '.. deprecated:: 2.0', ' The list_catalogs function is deprecated and may be removed in a future version.', ' Use astroquery.vo_conesearch.vos_catalog.list_catalogs instead.', '', 'List the catalogs available for the given service type.', '', ':Parameters:', '', ' **service_type** : str', '', " Name of the type of service, e.g., 'conesearch_good'.", ' ', ' cache : bool', ' Use caching for VO Service database. Access to actual VO', ' websites referenced by the database still needs internet', ' connection.', ' ', ' verbose : bool', ' Show download progress bars.', ' ', ' pattern : str or `None`', ' If given string is anywhere in a catalog name, it is', ' considered a matching catalog. It accepts patterns as', ' in :py:mod:`fnmatch` and is case-insensitive.', ' By default, all catalogs are returned.', ' ', ' sort : bool', ' Sort output in alphabetical order. If not sorted, the', ' order depends on dictionary hashing. Default is `True`.', '', ':Returns:', '', ' **arr** : list of str', '', ' List of catalog names.']:26: WARNING: py:obj reference target not found: None ['list_catalogs(service_type, cache=True, verbose=True, **kwargs)', ':module: astropy.vo.client.vos_catalog', '', '', '', '.. deprecated:: 2.0', ' The list_catalogs function is deprecated and may be removed in a future version.', ' Use astroquery.vo_conesearch.vos_catalog.list_catalogs instead.', '', 'List the catalogs available for the given service type.', '', ':Parameters:', '', ' **service_type** : str', '', " Name of the type of service, e.g., 'conesearch_good'.", ' ', ' cache : bool', ' Use caching for VO Service database. Access to actual VO', ' websites referenced by the database still needs internet', ' connection.', ' ', ' verbose : bool', ' Show download progress bars.', ' ', ' pattern : str or `None`', ' If given string is anywhere in a catalog name, it is', ' considered a matching catalog. It accepts patterns as', ' in :py:mod:`fnmatch` and is case-insensitive.', ' By default, all catalogs are returned.', ' ', ' sort : bool', ' Sort output in alphabetical order. If not sorted, the', ' order depends on dictionary hashing. Default is `True`.', '', ':Returns:', '', ' **arr** : list of str', '', ' List of catalog names.']:24: WARNING: py:mod reference target not found: fnmatch ['list_catalogs(service_type, cache=True, verbose=True, **kwargs)', ':module: astropy.vo.client.vos_catalog', '', '', '', '.. deprecated:: 2.0', ' The list_catalogs function is deprecated and may be removed in a future version.', ' Use astroquery.vo_conesearch.vos_catalog.list_catalogs instead.', '', 'List the catalogs available for the given service type.', '', ':Parameters:', '', ' **service_type** : str', '', " Name of the type of service, e.g., 'conesearch_good'.", ' ', ' cache : bool', ' Use caching for VO Service database. Access to actual VO', ' websites referenced by the database still needs internet', ' connection.', ' ', ' verbose : bool', ' Show download progress bars.', ' ', ' pattern : str or `None`', ' If given string is anywhere in a catalog name, it is', ' considered a matching catalog. It accepts patterns as', ' in :py:mod:`fnmatch` and is case-insensitive.', ' By default, all catalogs are returned.', ' ', ' sort : bool', ' Sort output in alphabetical order. If not sorted, the', ' order depends on dictionary hashing. Default is `True`.', '', ':Returns:', '', ' **arr** : list of str', '', ' List of catalog names.']:30: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.vo.validator.inspect.ConeSearchResults.rst:7: WARNING: py:class reference target not found: object /<>/docs/api/astropy.vo.validator.inspect.ConeSearchResults.rst:19: WARNING: py:obj reference target not found: False ["check_conesearch_sites(destdir='.', verbose=True, parallel=True, url_list='default')", ':module: astropy.vo.validator.validate', '', '', '', '.. deprecated:: 2.0', ' The check_conesearch_sites function is deprecated and may be removed in a future version.', ' Use astroquery.vo_conesearch.validator.validate.check_conesearch_sites instead.', '', 'Validate Cone Search Services.', '', ' .. note::', '', ' URLs are unescaped prior to validation.', '', ' Only check queries with ```` parameters.', ' Does not perform meta-data and erroneous queries.', '', ':Parameters:', '', ' **destdir** : str, optional', '', ' Directory to store output files. Will be created if does', ' not exist. Existing files with these names will be deleted', ' or replaced:', ' ', ' * conesearch_good.json', ' * conesearch_warn.json', ' * conesearch_exception.json', ' * conesearch_error.json', ' ', ' verbose : bool, optional', ' Print extra info to log.', ' ', ' parallel : bool, optional', ' Enable multiprocessing.', ' ', ' url_list : list of string, optional', ' Only check these access URLs against', ' `astropy.vo.validator.Conf.conesearch_master_list` and ignore', ' the others, which will not appear in output files. By', ' default, check those in', ' `astropy.vo.validator.Conf.conesearch_urls`. If `None`, check', ' everything.', '', ':Raises:', '', ' **IOError**', '', ' Invalid destination directory.', ' ', ' timeout', ' URL request timed out.', ' ', ' ValidationMultiprocessingError', ' Multiprocessing failed.']:36: WARNING: py:obj reference target not found: None wcs/references.txt:4: WARNING: py:class reference target not found: object /<>/docs/api/astropy.wcs.NoConvergence.rst:11: WARNING: py:obj reference target not found: numpy.ndarray /<>/docs/api/astropy.wcs.NoConvergence.rst:12: WARNING: py:obj reference target not found: numpy.ndarray /<>/docs/api/astropy.wcs.NoConvergence.rst:13: WARNING: py:obj reference target not found: int /<>/docs/api/astropy.wcs.NoConvergence.rst:14: WARNING: py:obj reference target not found: numpy.ndarray /<>/docs/api/astropy.wcs.NoConvergence.rst:14: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.wcs.NoConvergence.rst:15: WARNING: py:obj reference target not found: numpy.ndarray /<>/docs/api/astropy.wcs.NoConvergence.rst:15: WARNING: py:obj reference target not found: None wcs/references.txt:4: WARNING: py:class reference target not found: object wcs/references.txt:4: WARNING: py:class reference target not found: object /<>/docs/api/astropy.wcs.Tabprm.rst:6: WARNING: py:obj reference target not found: repr /<>/docs/api/astropy.wcs.WCS.rst:35: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.wcs.WCS.rst:38: WARNING: py:obj reference target not found: False /<>/docs/api/astropy.wcs.WCS.rst:41: WARNING: py:obj reference target not found: int /<>/docs/api/astropy.wcs.WCS.rst:77: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.wcs.WCS.rst:83: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.wcs.WCS.rst:90: WARNING: py:obj reference target not found: True ["WCS(header=None, fobj=None, key=' ', minerr=0.0, relax=True, naxis=None, keysel=None, colsel=None, fix=True, translate_units='', _do_set=True)", ':module: astropy.wcs', '', 'Bases: :class:`astropy.wcs.WCSBase`', '', '', '', 'WCS objects perform standard WCS transformations, and correct for', '`SIP`_ and `distortion paper`_ table-lookup transformations, based', 'on the WCS keywords and supplementary data read from a FITS file.', '', '', ':Parameters:', '', ' **header** : astropy.io.fits header object, Primary HDU, Image HDU, string, dict-like, or None, optional', '', ' If *header* is not provided or None, the object will be', ' initialized to default values.', ' ', '', ' **fobj** : An astropy.io.fits file (hdulist) object, optional', '', ' It is needed when header keywords point to a `distortion', ' paper`_ lookup table stored in a different extension.', ' ', '', ' **key** : str, optional', '', ' The name of a particular WCS transform to use. This may be', " either ``' '`` or ``'A'``-``'Z'`` and corresponds to the", ' ``"a"`` part of the ``CTYPEia`` cards. *key* may only be', ' provided if *header* is also provided.', ' ', '', ' **minerr** : float, optional', '', ' The minimum value a distortion correction must have in order', ' to be applied. If the value of ``CQERRja`` is smaller than', ' *minerr*, the corresponding distortion is not applied.', ' ', '', ' **relax** : bool or int, optional', '', ' Degree of permissiveness:', ' ', ' - `True` (default): Admit all recognized informal extensions', ' of the WCS standard.', ' ', ' - `False`: Recognize only FITS keywords defined by the', ' published WCS standard.', ' ', ' - `int`: a bit field selecting specific extensions to accept.', ' See :ref:`relaxread` for details.', ' ', '', ' **naxis** : int or sequence, optional', '', ' Extracts specific coordinate axes using', ' :meth:`~astropy.wcs.Wcsprm.sub`. If a header is provided, and', ' *naxis* is not ``None``, *naxis* will be passed to', ' :meth:`~astropy.wcs.Wcsprm.sub` in order to select specific', ' axes from the header. See :meth:`~astropy.wcs.Wcsprm.sub` for', ' more details about this parameter.', ' ', '', ' **keysel** : sequence of flags, optional', '', ' A sequence of flags used to select the keyword types', ' considered by wcslib. When ``None``, only the standard image', ' header keywords are considered (and the underlying wcspih() C', ' function is called). To use binary table image array or pixel', ' list keywords, *keysel* must be set.', ' ', ' Each element in the list should be one of the following', ' strings:', ' ', " - 'image': Image header keywords", ' ', " - 'binary': Binary table image array keywords", ' ', " - 'pixel': Pixel list keywords", ' ', ' Keywords such as ``EQUIna`` or ``RFRQna`` that are common to', ' binary table image arrays and pixel lists (including', " ``WCSNna`` and ``TWCSna``) are selected by both 'binary' and", " 'pixel'.", ' ', '', ' **colsel** : sequence of int, optional', '', ' A sequence of table column numbers used to restrict the WCS', ' transformations considered to only those pertaining to the', ' specified columns. If `None`, there is no restriction.', ' ', '', ' **fix** : bool, optional', '', ' When `True` (default), call `~astropy.wcs.Wcsprm.fix` on', ' the resulting object to fix any non-standard uses in the', ' header. `FITSFixedWarning` Warnings will be emitted if any', ' changes were made.', ' ', '', ' **translate_units** : str, optional', '', ' Specify which potentially unsafe translations of non-standard', ' unit strings to perform. By default, performs none. See', ' `WCS.fix` for more information about this parameter. Only', ' effective when ``fix`` is `True`.', '', ':Raises:', '', ' **MemoryError**', '', ' Memory allocation failed.', ' ', '', ' **ValueError**', '', ' Invalid key.', ' ', '', ' **KeyError**', '', ' Key not found in FITS header.', ' ', '', ' **ValueError**', '', ' Lookup table distortion present in the header but *fobj* was', ' not provided.', '', '.. rubric:: Notes', '', '', '1. astropy.wcs supports arbitrary *n* dimensions for the core WCS', ' (the transformations handled by WCSLIB). However, the', ' `distortion paper`_ lookup table and `SIP`_ distortions must be', ' two dimensional. Therefore, if you try to create a WCS object', ' where the core WCS has a different number of dimensions than 2', ' and that object also contains a `distortion paper`_ lookup', ' table or `SIP`_ distortion, a `ValueError`', ' exception will be raised. To avoid this, consider using the', ' *naxis* kwarg to select two dimensions from the core WCS.', '', '2. The number of coordinate axes in the transformation is not', ' determined directly from the ``NAXIS`` keyword but instead from', ' the highest of:', '', ' - ``NAXIS`` keyword', '', ' - ``WCSAXESa`` keyword', '', ' - The highest axis number in any parameterized WCS keyword.', ' The keyvalue, as well as the keyword, must be', ' syntactically valid otherwise it will not be considered.', '', ' If none of these keyword types is present, i.e. if the header', ' only contains auxiliary WCS keywords for a particular', ' coordinate representation, then no coordinate description is', ' constructed for it.', '', ' The number of axes, which is set as the ``naxis`` member, may', ' differ for different coordinate representations of the same', ' image.', '', '3. When the header includes duplicate keywords, in most cases the', ' last encountered is used.', '', '4. `~astropy.wcs.Wcsprm.set` is called immediately after', ' construction, so any invalid keywords or transformations will', ' be raised by the constructor, not when subsequently calling a', ' transformation method.', '', '.. rubric:: Attributes Summary', '', '.. autosummary::', '', ' ~WCS.axis_type_names', ' ~WCS.celestial', ' ~WCS.has_celestial', ' ~WCS.is_celestial', ' ~WCS.pixel_scale_matrix', '', '.. rubric:: Methods Summary', '', '.. autosummary::', '', ' ~WCS.all_pix2world', ' ~WCS.all_world2pix', ' ~WCS.calc_footprint', ' ~WCS.copy', ' ~WCS.deepcopy', ' ~WCS.det2im', ' ~WCS.dropaxis', ' ~WCS.fix', ' ~WCS.footprint_to_file', ' ~WCS.get_axis_types', ' ~WCS.p4_pix2foc', ' ~WCS.pix2foc', ' ~WCS.printwcs', ' ~WCS.reorient_celestial_first', ' ~WCS.sip_foc2pix', ' ~WCS.sip_pix2foc', ' ~WCS.slice', ' ~WCS.sub', ' ~WCS.swapaxes', ' ~WCS.to_fits', ' ~WCS.to_header', ' ~WCS.to_header_string', ' ~WCS.wcs_pix2world', ' ~WCS.wcs_world2pix', '', '.. rubric:: Attributes Documentation', '', '.. autoattribute:: axis_type_names', '.. autoattribute:: celestial', '.. autoattribute:: has_celestial', '.. autoattribute:: is_celestial', '.. autoattribute:: pixel_scale_matrix', '', '.. rubric:: Methods Documentation', '', '.. automethod:: all_pix2world', '.. automethod:: all_world2pix', '.. automethod:: calc_footprint', '.. automethod:: copy', '.. automethod:: deepcopy', '.. automethod:: det2im', '.. automethod:: dropaxis', '.. automethod:: fix', '.. automethod:: footprint_to_file', '.. automethod:: get_axis_types', '.. automethod:: p4_pix2foc', '.. automethod:: pix2foc', '.. automethod:: printwcs', '.. automethod:: reorient_celestial_first', '.. automethod:: sip_foc2pix', '.. automethod:: sip_pix2foc', '.. automethod:: slice', '.. automethod:: sub', '.. automethod:: swapaxes', '.. automethod:: to_fits', '.. automethod:: to_header', '.. automethod:: to_header_string', '.. automethod:: wcs_pix2world', '.. automethod:: wcs_world2pix']:119: WARNING: py:obj reference target not found: ValueError /<>/docs/api/astropy.wcs.WCS.rst:39: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.wcs.WCS.rst:39: WARNING: py:obj reference target not found: False /<>/docs/api/astropy.wcs.WCS.rst:29: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.wcs.WCS.rst:29: WARNING: py:obj reference target not found: False /<>/docs/api/astropy.wcs.WCS.rst:73: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.wcs.WCS.rst:73: WARNING: py:obj reference target not found: False ['WCS.all_world2pix(*arg, accuracy=1.0e-4, maxiter=20, adaptive=False, detect_divergence=True, quiet=False)', ':module: astropy.wcs', '', '', '', 'Transforms world coordinates to pixel coordinates, using', 'numerical iteration to invert the full forward transformation', '`~astropy.wcs.WCS.all_pix2world` with complete', 'distortion model.', '', '', ':Parameters:', '', ' **args** : flexible', '', ' There are two accepted forms for the positional arguments:', ' ', ' - 2 arguments: An *N* x *naxis* array of coordinates, and an', ' *origin*.', ' ', ' - more than 2 arguments: An array for each axis, followed by', ' an *origin*. These arrays must be broadcastable to one', ' another.', ' ', ' Here, *origin* is the coordinate in the upper left corner of the', ' image. In FITS and Fortran standards, this is 1. In Numpy and C', ' standards this is 0.', ' ', ' For a transformation that is not two-dimensional, the', ' two-argument form must be used.', ' ', '', ' **ra_dec_order** : bool, optional', '', ' When `True` will ensure that world coordinates are always given', ' and returned in as (*ra*, *dec*) pairs, regardless of the order of', ' the axes specified by the in the ``CTYPE`` keywords. Default is', ' `False`.', ' ', '', ' **tolerance** : float, optional (Default = 1.0e-4)', '', ' Tolerance of solution. Iteration terminates when the', ' iterative solver estimates that the "true solution" is', ' within this many pixels current estimate, more', ' specifically, when the correction to the solution found', ' during the previous iteration is smaller', ' (in the sense of the L2 norm) than ``tolerance``.', ' ', '', ' **maxiter** : int, optional (Default = 20)', '', ' Maximum number of iterations allowed to reach a solution.', ' ', '', ' **quiet** : bool, optional (Default = False)', '', ' Do not throw :py:class:`NoConvergence` exceptions when', ' the method does not converge to a solution with the', ' required accuracy within a specified number of maximum', ' iterations set by ``maxiter`` parameter. Instead,', ' simply return the found solution.', '', ':Returns:', '', ' **result** : array', '', ' Returns the pixel coordinates. If the input was a single array and', ' origin, a single array is returned, otherwise a tuple of arrays is', ' returned.', '', ':Other Parameters:', '', ' **adaptive** : bool, optional (Default = False)', '', ' Specifies whether to adaptively select only points that', ' did not converge to a solution within the required', ' accuracy for the next iteration. Default is recommended', ' for HST as well as most other instruments.', ' ', ' .. note::', ' The :py:meth:`all_world2pix` uses a vectorized', ' implementation of the method of consecutive', ' approximations (see ``Notes`` section below) in which it', ' iterates over *all* input points *regardless* until', ' the required accuracy has been reached for *all* input', ' points. In some cases it may be possible that', ' *almost all* points have reached the required accuracy', ' but there are only a few of input data points for', ' which additional iterations may be needed (this', ' depends mostly on the characteristics of the geometric', ' distortions for a given instrument). In this situation', ' it may be advantageous to set ``adaptive`` = `True` in', ' which case :py:meth:`all_world2pix` will continue', ' iterating *only* over the points that have not yet', ' converged to the required accuracy. However, for the', " HST's ACS/WFC detector, which has the strongest", ' distortions of all HST instruments, testing has', ' shown that enabling this option would lead to a about', ' 50-100% penalty in computational time (depending on', ' specifics of the image, geometric distortions, and', ' number of input points to be converted). Therefore,', ' for HST and possibly instruments, it is recommended', ' to set ``adaptive`` = `False`. The only danger in', ' getting this setting wrong will be a performance', ' penalty.', ' ', ' .. note::', ' When ``detect_divergence`` is `True`,', ' :py:meth:`all_world2pix` will automatically switch', ' to the adaptive algorithm once divergence has been', ' detected.', ' ', '', ' **detect_divergence** : bool, optional (Default = True)', '', ' Specifies whether to perform a more detailed analysis', ' of the convergence to a solution. Normally', ' :py:meth:`all_world2pix` may not achieve the required', ' accuracy if either the ``tolerance`` or ``maxiter`` arguments', ' are too low. However, it may happen that for some', ' geometric distortions the conditions of convergence for', ' the the method of consecutive approximations used by', ' :py:meth:`all_world2pix` may not be satisfied, in which', ' case consecutive approximations to the solution will', ' diverge regardless of the ``tolerance`` or ``maxiter``', ' settings.', ' ', ' When ``detect_divergence`` is `False`, these divergent', ' points will be detected as not having achieved the', ' required accuracy (without further details). In addition,', ' if ``adaptive`` is `False` then the algorithm will not', ' know that the solution (for specific points) is diverging', ' and will continue iterating and trying to "improve"', ' diverging solutions. This may result in ``NaN`` or', ' ``Inf`` values in the return results (in addition to a', ' performance penalties). Even when ``detect_divergence``', ' is `False`, :py:meth:`all_world2pix`, at the end of the', ' iterative process, will identify invalid results', ' (``NaN`` or ``Inf``) as "diverging" solutions and will', ' raise :py:class:`NoConvergence` unless the ``quiet``', ' parameter is set to `True`.', ' ', ' When ``detect_divergence`` is `True`,', ' :py:meth:`all_world2pix` will detect points for which', ' current correction to the coordinates is larger than', ' the correction applied during the previous iteration', ' **if** the requested accuracy **has not yet been', ' achieved**. In this case, if ``adaptive`` is `True`,', ' these points will be excluded from further iterations and', ' if ``adaptive`` is `False`, :py:meth:`all_world2pix` will', ' automatically switch to the adaptive algorithm. Thus, the', ' reported divergent solution will be the latest converging', ' solution computed immediately *before* divergence', ' has been detected.', ' ', ' .. note::', ' When accuracy has been achieved, small increases in', ' current corrections may be possible due to rounding', ' errors (when ``adaptive`` is `False`) and such', ' increases will be ignored.', ' ', ' .. note::', ' Based on our testing using HST ACS/WFC images, setting', ' ``detect_divergence`` to `True` will incur about 5-20%', ' performance penalty with the larger penalty', ' corresponding to ``adaptive`` set to `True`.', ' Because the benefits of enabling this', ' feature outweigh the small performance penalty,', ' especially when ``adaptive`` = `False`, it is', ' recommended to set ``detect_divergence`` to `True`,', ' unless extensive testing of the distortion models for', ' images from specific instruments show a good stability', ' of the numerical method for a wide range of', ' coordinates (even outside the image itself).', ' ', ' .. note::', ' Indices of the diverging inverse solutions will be', ' reported in the ``divergent`` attribute of the', ' raised :py:class:`NoConvergence` exception object.', '', ':Raises:', '', ' **NoConvergence**', '', ' The method did not converge to a', ' solution to the required accuracy within a specified', ' number of maximum iterations set by the ``maxiter``', ' parameter. To turn off this exception, set ``quiet`` to', ' `True`. Indices of the points for which the requested', ' accuracy was not achieved (if any) will be listed in the', ' ``slow_conv`` attribute of the', ' raised :py:class:`NoConvergence` exception object.', ' ', ' See :py:class:`NoConvergence` documentation for', ' more details.', ' ', '', ' **MemoryError**', '', ' Memory allocation failed.', ' ', '', ' **SingularMatrixError**', '', ' Linear transformation matrix is singular.', ' ', '', ' **InconsistentAxisTypesError**', '', ' Inconsistent or unrecognized coordinate axis types.', ' ', '', ' **ValueError**', '', ' Invalid parameter value.', ' ', '', ' **ValueError**', '', ' Invalid coordinate transformation parameters.', ' ', '', ' **ValueError**', '', ' x- and y-coordinate arrays are not the same size.', ' ', '', ' **InvalidTransformError**', '', ' Invalid coordinate transformation parameters.', ' ', '', ' **InvalidTransformError**', '', ' Ill-conditioned coordinate transformation parameters.', '', '.. rubric:: Notes', '', '', 'The order of the axes for the input world array is determined by', 'the ``CTYPEia`` keywords in the FITS header, therefore it may', 'not always be of the form (*ra*, *dec*). The', '`~astropy.wcs.Wcsprm.lat`, `~astropy.wcs.Wcsprm.lng`,', '`~astropy.wcs.Wcsprm.lattyp`, and', '`~astropy.wcs.Wcsprm.lngtyp`', 'members can be used to determine the order of the axes.', '', 'Using the method of fixed-point iterations approximations we', 'iterate starting with the initial approximation, which is', 'computed using the non-distortion-aware', ':py:meth:`wcs_world2pix` (or equivalent).', '', 'The :py:meth:`all_world2pix` function uses a vectorized', 'implementation of the method of consecutive approximations and', 'therefore it is highly efficient (>30x) when *all* data points', 'that need to be converted from sky coordinates to image', 'coordinates are passed at *once*. Therefore, it is advisable,', 'whenever possible, to pass as input a long array of all points', 'that need to be converted to :py:meth:`all_world2pix` instead', 'of calling :py:meth:`all_world2pix` for each data point. Also', 'see the note to the ``adaptive`` parameter.', '', '.. rubric:: Examples', '', '', '>>> import astropy.io.fits as fits', '>>> import astropy.wcs as wcs', '>>> import numpy as np', '>>> import os', '', ">>> filename = os.path.join(wcs.__path__[0], 'tests/data/j94f05bgq_flt.fits')", '>>> hdulist = fits.open(filename)', ">>> w = wcs.WCS(hdulist[('sci',1)].header, hdulist)", '>>> hdulist.close()', '', '>>> ra, dec = w.all_pix2world([1,2,3], [1,1,1], 1)', '>>> print(ra) # doctest: +FLOAT_CMP', '[ 5.52645627 5.52649663 5.52653698]', '>>> print(dec) # doctest: +FLOAT_CMP', '[-72.05171757 -72.05171276 -72.05170795]', '>>> radec = w.all_pix2world([[1,1], [2,1], [3,1]], 1)', '>>> print(radec) # doctest: +FLOAT_CMP', '[[ 5.52645627 -72.05171757]', ' [ 5.52649663 -72.05171276]', ' [ 5.52653698 -72.05170795]]', '>>> x, y = w.all_world2pix(ra, dec, 1)', '>>> print(x) # doctest: +FLOAT_CMP', '[ 1.00000238 2.00000237 3.00000236]', '>>> print(y) # doctest: +FLOAT_CMP', '[ 0.99999996 0.99999997 0.99999997]', '>>> xy = w.all_world2pix(radec, 1)', '>>> print(xy) # doctest: +FLOAT_CMP', '[[ 1.00000238 0.99999996]', ' [ 2.00000237 0.99999997]', ' [ 3.00000236 0.99999997]]', '>>> xy = w.all_world2pix(radec, 1, maxiter=3,', '... tolerance=1.0e-10, quiet=False)', 'Traceback (most recent call last):', '...', "NoConvergence: 'WCS.all_world2pix' failed to converge to the", 'requested accuracy. After 3 iterations, the solution is', 'diverging at least for one input point.', '', '>>> # Now try to use some diverging data:', '>>> divradec = w.all_pix2world([[1.0, 1.0],', '... [10000.0, 50000.0],', '... [3.0, 1.0]], 1)', '>>> print(divradec) # doctest: +FLOAT_CMP', '[[ 5.52645627 -72.05171757]', ' [ 7.15976932 -70.8140779 ]', ' [ 5.52653698 -72.05170795]]', '', '>>> # First, turn detect_divergence on:', '>>> try: # doctest: +FLOAT_CMP', '... xy = w.all_world2pix(divradec, 1, maxiter=20,', '... tolerance=1.0e-4, adaptive=False,', '... detect_divergence=True,', '... quiet=False)', '... except wcs.wcs.NoConvergence as e:', '... print("Indices of diverging points: {0}"', '... .format(e.divergent))', '... print("Indices of poorly converging points: {0}"', '... .format(e.slow_conv))', '... print("Best solution:\\n{0}".format(e.best_solution))', '... print("Achieved accuracy:\\n{0}".format(e.accuracy))', 'Indices of diverging points: [1]', 'Indices of poorly converging points: None', 'Best solution:', '[[ 1.00000238e+00 9.99999965e-01]', ' [ -1.99441636e+06 1.44309097e+06]', ' [ 3.00000236e+00 9.99999966e-01]]', 'Achieved accuracy:', '[[ 6.13968380e-05 8.59638593e-07]', ' [ 8.59526812e+11 6.61713548e+11]', ' [ 6.09398446e-05 8.38759724e-07]]', '>>> raise e', 'Traceback (most recent call last):', '...', "NoConvergence: 'WCS.all_world2pix' failed to converge to the", 'requested accuracy. After 5 iterations, the solution is', 'diverging at least for one input point.', '', '>>> # This time turn detect_divergence off:', '>>> try: # doctest: +FLOAT_CMP', '... xy = w.all_world2pix(divradec, 1, maxiter=20,', '... tolerance=1.0e-4, adaptive=False,', '... detect_divergence=False,', '... quiet=False)', '... except wcs.wcs.NoConvergence as e:', '... print("Indices of diverging points: {0}"', '... .format(e.divergent))', '... print("Indices of poorly converging points: {0}"', '... .format(e.slow_conv))', '... print("Best solution:\\n{0}".format(e.best_solution))', '... print("Achieved accuracy:\\n{0}".format(e.accuracy))', 'Indices of diverging points: [1]', 'Indices of poorly converging points: None', 'Best solution:', '[[ 1.00000009 1. ]', ' [ nan nan]', ' [ 3.00000009 1. ]]', 'Achieved accuracy:', '[[ 2.29417358e-06 3.21222995e-08]', ' [ nan nan]', ' [ 2.27407877e-06 3.13005639e-08]]', '>>> raise e', 'Traceback (most recent call last):', '...', "NoConvergence: 'WCS.all_world2pix' failed to converge to the", 'requested accuracy. After 6 iterations, the solution is', 'diverging at least for one input point.']:101: WARNING: py:obj reference target not found: True ['WCS.all_world2pix(*arg, accuracy=1.0e-4, maxiter=20, adaptive=False, detect_divergence=True, quiet=False)', ':module: astropy.wcs', '', '', '', 'Transforms world coordinates to pixel coordinates, using', 'numerical iteration to invert the full forward transformation', '`~astropy.wcs.WCS.all_pix2world` with complete', 'distortion model.', '', '', ':Parameters:', '', ' **args** : flexible', '', ' There are two accepted forms for the positional arguments:', ' ', ' - 2 arguments: An *N* x *naxis* array of coordinates, and an', ' *origin*.', ' ', ' - more than 2 arguments: An array for each axis, followed by', ' an *origin*. These arrays must be broadcastable to one', ' another.', ' ', ' Here, *origin* is the coordinate in the upper left corner of the', ' image. In FITS and Fortran standards, this is 1. In Numpy and C', ' standards this is 0.', ' ', ' For a transformation that is not two-dimensional, the', ' two-argument form must be used.', ' ', '', ' **ra_dec_order** : bool, optional', '', ' When `True` will ensure that world coordinates are always given', ' and returned in as (*ra*, *dec*) pairs, regardless of the order of', ' the axes specified by the in the ``CTYPE`` keywords. Default is', ' `False`.', ' ', '', ' **tolerance** : float, optional (Default = 1.0e-4)', '', ' Tolerance of solution. Iteration terminates when the', ' iterative solver estimates that the "true solution" is', ' within this many pixels current estimate, more', ' specifically, when the correction to the solution found', ' during the previous iteration is smaller', ' (in the sense of the L2 norm) than ``tolerance``.', ' ', '', ' **maxiter** : int, optional (Default = 20)', '', ' Maximum number of iterations allowed to reach a solution.', ' ', '', ' **quiet** : bool, optional (Default = False)', '', ' Do not throw :py:class:`NoConvergence` exceptions when', ' the method does not converge to a solution with the', ' required accuracy within a specified number of maximum', ' iterations set by ``maxiter`` parameter. Instead,', ' simply return the found solution.', '', ':Returns:', '', ' **result** : array', '', ' Returns the pixel coordinates. If the input was a single array and', ' origin, a single array is returned, otherwise a tuple of arrays is', ' returned.', '', ':Other Parameters:', '', ' **adaptive** : bool, optional (Default = False)', '', ' Specifies whether to adaptively select only points that', ' did not converge to a solution within the required', ' accuracy for the next iteration. Default is recommended', ' for HST as well as most other instruments.', ' ', ' .. note::', ' The :py:meth:`all_world2pix` uses a vectorized', ' implementation of the method of consecutive', ' approximations (see ``Notes`` section below) in which it', ' iterates over *all* input points *regardless* until', ' the required accuracy has been reached for *all* input', ' points. In some cases it may be possible that', ' *almost all* points have reached the required accuracy', ' but there are only a few of input data points for', ' which additional iterations may be needed (this', ' depends mostly on the characteristics of the geometric', ' distortions for a given instrument). In this situation', ' it may be advantageous to set ``adaptive`` = `True` in', ' which case :py:meth:`all_world2pix` will continue', ' iterating *only* over the points that have not yet', ' converged to the required accuracy. However, for the', " HST's ACS/WFC detector, which has the strongest", ' distortions of all HST instruments, testing has', ' shown that enabling this option would lead to a about', ' 50-100% penalty in computational time (depending on', ' specifics of the image, geometric distortions, and', ' number of input points to be converted). Therefore,', ' for HST and possibly instruments, it is recommended', ' to set ``adaptive`` = `False`. The only danger in', ' getting this setting wrong will be a performance', ' penalty.', ' ', ' .. note::', ' When ``detect_divergence`` is `True`,', ' :py:meth:`all_world2pix` will automatically switch', ' to the adaptive algorithm once divergence has been', ' detected.', ' ', '', ' **detect_divergence** : bool, optional (Default = True)', '', ' Specifies whether to perform a more detailed analysis', ' of the convergence to a solution. Normally', ' :py:meth:`all_world2pix` may not achieve the required', ' accuracy if either the ``tolerance`` or ``maxiter`` arguments', ' are too low. However, it may happen that for some', ' geometric distortions the conditions of convergence for', ' the the method of consecutive approximations used by', ' :py:meth:`all_world2pix` may not be satisfied, in which', ' case consecutive approximations to the solution will', ' diverge regardless of the ``tolerance`` or ``maxiter``', ' settings.', ' ', ' When ``detect_divergence`` is `False`, these divergent', ' points will be detected as not having achieved the', ' required accuracy (without further details). In addition,', ' if ``adaptive`` is `False` then the algorithm will not', ' know that the solution (for specific points) is diverging', ' and will continue iterating and trying to "improve"', ' diverging solutions. This may result in ``NaN`` or', ' ``Inf`` values in the return results (in addition to a', ' performance penalties). Even when ``detect_divergence``', ' is `False`, :py:meth:`all_world2pix`, at the end of the', ' iterative process, will identify invalid results', ' (``NaN`` or ``Inf``) as "diverging" solutions and will', ' raise :py:class:`NoConvergence` unless the ``quiet``', ' parameter is set to `True`.', ' ', ' When ``detect_divergence`` is `True`,', ' :py:meth:`all_world2pix` will detect points for which', ' current correction to the coordinates is larger than', ' the correction applied during the previous iteration', ' **if** the requested accuracy **has not yet been', ' achieved**. In this case, if ``adaptive`` is `True`,', ' these points will be excluded from further iterations and', ' if ``adaptive`` is `False`, :py:meth:`all_world2pix` will', ' automatically switch to the adaptive algorithm. Thus, the', ' reported divergent solution will be the latest converging', ' solution computed immediately *before* divergence', ' has been detected.', ' ', ' .. note::', ' When accuracy has been achieved, small increases in', ' current corrections may be possible due to rounding', ' errors (when ``adaptive`` is `False`) and such', ' increases will be ignored.', ' ', ' .. note::', ' Based on our testing using HST ACS/WFC images, setting', ' ``detect_divergence`` to `True` will incur about 5-20%', ' performance penalty with the larger penalty', ' corresponding to ``adaptive`` set to `True`.', ' Because the benefits of enabling this', ' feature outweigh the small performance penalty,', ' especially when ``adaptive`` = `False`, it is', ' recommended to set ``detect_divergence`` to `True`,', ' unless extensive testing of the distortion models for', ' images from specific instruments show a good stability', ' of the numerical method for a wide range of', ' coordinates (even outside the image itself).', ' ', ' .. note::', ' Indices of the diverging inverse solutions will be', ' reported in the ``divergent`` attribute of the', ' raised :py:class:`NoConvergence` exception object.', '', ':Raises:', '', ' **NoConvergence**', '', ' The method did not converge to a', ' solution to the required accuracy within a specified', ' number of maximum iterations set by the ``maxiter``', ' parameter. To turn off this exception, set ``quiet`` to', ' `True`. Indices of the points for which the requested', ' accuracy was not achieved (if any) will be listed in the', ' ``slow_conv`` attribute of the', ' raised :py:class:`NoConvergence` exception object.', ' ', ' See :py:class:`NoConvergence` documentation for', ' more details.', ' ', '', ' **MemoryError**', '', ' Memory allocation failed.', ' ', '', ' **SingularMatrixError**', '', ' Linear transformation matrix is singular.', ' ', '', ' **InconsistentAxisTypesError**', '', ' Inconsistent or unrecognized coordinate axis types.', ' ', '', ' **ValueError**', '', ' Invalid parameter value.', ' ', '', ' **ValueError**', '', ' Invalid coordinate transformation parameters.', ' ', '', ' **ValueError**', '', ' x- and y-coordinate arrays are not the same size.', ' ', '', ' **InvalidTransformError**', '', ' Invalid coordinate transformation parameters.', ' ', '', ' **InvalidTransformError**', '', ' Ill-conditioned coordinate transformation parameters.', '', '.. rubric:: Notes', '', '', 'The order of the axes for the input world array is determined by', 'the ``CTYPEia`` keywords in the FITS header, therefore it may', 'not always be of the form (*ra*, *dec*). The', '`~astropy.wcs.Wcsprm.lat`, `~astropy.wcs.Wcsprm.lng`,', '`~astropy.wcs.Wcsprm.lattyp`, and', '`~astropy.wcs.Wcsprm.lngtyp`', 'members can be used to determine the order of the axes.', '', 'Using the method of fixed-point iterations approximations we', 'iterate starting with the initial approximation, which is', 'computed using the non-distortion-aware', ':py:meth:`wcs_world2pix` (or equivalent).', '', 'The :py:meth:`all_world2pix` function uses a vectorized', 'implementation of the method of consecutive approximations and', 'therefore it is highly efficient (>30x) when *all* data points', 'that need to be converted from sky coordinates to image', 'coordinates are passed at *once*. Therefore, it is advisable,', 'whenever possible, to pass as input a long array of all points', 'that need to be converted to :py:meth:`all_world2pix` instead', 'of calling :py:meth:`all_world2pix` for each data point. Also', 'see the note to the ``adaptive`` parameter.', '', '.. rubric:: Examples', '', '', '>>> import astropy.io.fits as fits', '>>> import astropy.wcs as wcs', '>>> import numpy as np', '>>> import os', '', ">>> filename = os.path.join(wcs.__path__[0], 'tests/data/j94f05bgq_flt.fits')", '>>> hdulist = fits.open(filename)', ">>> w = wcs.WCS(hdulist[('sci',1)].header, hdulist)", '>>> hdulist.close()', '', '>>> ra, dec = w.all_pix2world([1,2,3], [1,1,1], 1)', '>>> print(ra) # doctest: +FLOAT_CMP', '[ 5.52645627 5.52649663 5.52653698]', '>>> print(dec) # doctest: +FLOAT_CMP', '[-72.05171757 -72.05171276 -72.05170795]', '>>> radec = w.all_pix2world([[1,1], [2,1], [3,1]], 1)', '>>> print(radec) # doctest: +FLOAT_CMP', '[[ 5.52645627 -72.05171757]', ' [ 5.52649663 -72.05171276]', ' [ 5.52653698 -72.05170795]]', '>>> x, y = w.all_world2pix(ra, dec, 1)', '>>> print(x) # doctest: +FLOAT_CMP', '[ 1.00000238 2.00000237 3.00000236]', '>>> print(y) # doctest: +FLOAT_CMP', '[ 0.99999996 0.99999997 0.99999997]', '>>> xy = w.all_world2pix(radec, 1)', '>>> print(xy) # doctest: +FLOAT_CMP', '[[ 1.00000238 0.99999996]', ' [ 2.00000237 0.99999997]', ' [ 3.00000236 0.99999997]]', '>>> xy = w.all_world2pix(radec, 1, maxiter=3,', '... tolerance=1.0e-10, quiet=False)', 'Traceback (most recent call last):', '...', "NoConvergence: 'WCS.all_world2pix' failed to converge to the", 'requested accuracy. After 3 iterations, the solution is', 'diverging at least for one input point.', '', '>>> # Now try to use some diverging data:', '>>> divradec = w.all_pix2world([[1.0, 1.0],', '... [10000.0, 50000.0],', '... [3.0, 1.0]], 1)', '>>> print(divradec) # doctest: +FLOAT_CMP', '[[ 5.52645627 -72.05171757]', ' [ 7.15976932 -70.8140779 ]', ' [ 5.52653698 -72.05170795]]', '', '>>> # First, turn detect_divergence on:', '>>> try: # doctest: +FLOAT_CMP', '... xy = w.all_world2pix(divradec, 1, maxiter=20,', '... tolerance=1.0e-4, adaptive=False,', '... detect_divergence=True,', '... quiet=False)', '... except wcs.wcs.NoConvergence as e:', '... print("Indices of diverging points: {0}"', '... .format(e.divergent))', '... print("Indices of poorly converging points: {0}"', '... .format(e.slow_conv))', '... print("Best solution:\\n{0}".format(e.best_solution))', '... print("Achieved accuracy:\\n{0}".format(e.accuracy))', 'Indices of diverging points: [1]', 'Indices of poorly converging points: None', 'Best solution:', '[[ 1.00000238e+00 9.99999965e-01]', ' [ -1.99441636e+06 1.44309097e+06]', ' [ 3.00000236e+00 9.99999966e-01]]', 'Achieved accuracy:', '[[ 6.13968380e-05 8.59638593e-07]', ' [ 8.59526812e+11 6.61713548e+11]', ' [ 6.09398446e-05 8.38759724e-07]]', '>>> raise e', 'Traceback (most recent call last):', '...', "NoConvergence: 'WCS.all_world2pix' failed to converge to the", 'requested accuracy. After 5 iterations, the solution is', 'diverging at least for one input point.', '', '>>> # This time turn detect_divergence off:', '>>> try: # doctest: +FLOAT_CMP', '... xy = w.all_world2pix(divradec, 1, maxiter=20,', '... tolerance=1.0e-4, adaptive=False,', '... detect_divergence=False,', '... quiet=False)', '... except wcs.wcs.NoConvergence as e:', '... print("Indices of diverging points: {0}"', '... .format(e.divergent))', '... print("Indices of poorly converging points: {0}"', '... .format(e.slow_conv))', '... print("Best solution:\\n{0}".format(e.best_solution))', '... print("Achieved accuracy:\\n{0}".format(e.accuracy))', 'Indices of diverging points: [1]', 'Indices of poorly converging points: None', 'Best solution:', '[[ 1.00000009 1. ]', ' [ nan nan]', ' [ 3.00000009 1. ]]', 'Achieved accuracy:', '[[ 2.29417358e-06 3.21222995e-08]', ' [ nan nan]', ' [ 2.27407877e-06 3.13005639e-08]]', '>>> raise e', 'Traceback (most recent call last):', '...', "NoConvergence: 'WCS.all_world2pix' failed to converge to the", 'requested accuracy. After 6 iterations, the solution is', 'diverging at least for one input point.']:120: WARNING: py:obj reference target not found: False ['WCS.all_world2pix(*arg, accuracy=1.0e-4, maxiter=20, adaptive=False, detect_divergence=True, quiet=False)', ':module: astropy.wcs', '', '', '', 'Transforms world coordinates to pixel coordinates, using', 'numerical iteration to invert the full forward transformation', '`~astropy.wcs.WCS.all_pix2world` with complete', 'distortion model.', '', '', ':Parameters:', '', ' **args** : flexible', '', ' There are two accepted forms for the positional arguments:', ' ', ' - 2 arguments: An *N* x *naxis* array of coordinates, and an', ' *origin*.', ' ', ' - more than 2 arguments: An array for each axis, followed by', ' an *origin*. These arrays must be broadcastable to one', ' another.', ' ', ' Here, *origin* is the coordinate in the upper left corner of the', ' image. In FITS and Fortran standards, this is 1. In Numpy and C', ' standards this is 0.', ' ', ' For a transformation that is not two-dimensional, the', ' two-argument form must be used.', ' ', '', ' **ra_dec_order** : bool, optional', '', ' When `True` will ensure that world coordinates are always given', ' and returned in as (*ra*, *dec*) pairs, regardless of the order of', ' the axes specified by the in the ``CTYPE`` keywords. Default is', ' `False`.', ' ', '', ' **tolerance** : float, optional (Default = 1.0e-4)', '', ' Tolerance of solution. Iteration terminates when the', ' iterative solver estimates that the "true solution" is', ' within this many pixels current estimate, more', ' specifically, when the correction to the solution found', ' during the previous iteration is smaller', ' (in the sense of the L2 norm) than ``tolerance``.', ' ', '', ' **maxiter** : int, optional (Default = 20)', '', ' Maximum number of iterations allowed to reach a solution.', ' ', '', ' **quiet** : bool, optional (Default = False)', '', ' Do not throw :py:class:`NoConvergence` exceptions when', ' the method does not converge to a solution with the', ' required accuracy within a specified number of maximum', ' iterations set by ``maxiter`` parameter. Instead,', ' simply return the found solution.', '', ':Returns:', '', ' **result** : array', '', ' Returns the pixel coordinates. If the input was a single array and', ' origin, a single array is returned, otherwise a tuple of arrays is', ' returned.', '', ':Other Parameters:', '', ' **adaptive** : bool, optional (Default = False)', '', ' Specifies whether to adaptively select only points that', ' did not converge to a solution within the required', ' accuracy for the next iteration. Default is recommended', ' for HST as well as most other instruments.', ' ', ' .. note::', ' The :py:meth:`all_world2pix` uses a vectorized', ' implementation of the method of consecutive', ' approximations (see ``Notes`` section below) in which it', ' iterates over *all* input points *regardless* until', ' the required accuracy has been reached for *all* input', ' points. In some cases it may be possible that', ' *almost all* points have reached the required accuracy', ' but there are only a few of input data points for', ' which additional iterations may be needed (this', ' depends mostly on the characteristics of the geometric', ' distortions for a given instrument). In this situation', ' it may be advantageous to set ``adaptive`` = `True` in', ' which case :py:meth:`all_world2pix` will continue', ' iterating *only* over the points that have not yet', ' converged to the required accuracy. However, for the', " HST's ACS/WFC detector, which has the strongest", ' distortions of all HST instruments, testing has', ' shown that enabling this option would lead to a about', ' 50-100% penalty in computational time (depending on', ' specifics of the image, geometric distortions, and', ' number of input points to be converted). Therefore,', ' for HST and possibly instruments, it is recommended', ' to set ``adaptive`` = `False`. The only danger in', ' getting this setting wrong will be a performance', ' penalty.', ' ', ' .. note::', ' When ``detect_divergence`` is `True`,', ' :py:meth:`all_world2pix` will automatically switch', ' to the adaptive algorithm once divergence has been', ' detected.', ' ', '', ' **detect_divergence** : bool, optional (Default = True)', '', ' Specifies whether to perform a more detailed analysis', ' of the convergence to a solution. Normally', ' :py:meth:`all_world2pix` may not achieve the required', ' accuracy if either the ``tolerance`` or ``maxiter`` arguments', ' are too low. However, it may happen that for some', ' geometric distortions the conditions of convergence for', ' the the method of consecutive approximations used by', ' :py:meth:`all_world2pix` may not be satisfied, in which', ' case consecutive approximations to the solution will', ' diverge regardless of the ``tolerance`` or ``maxiter``', ' settings.', ' ', ' When ``detect_divergence`` is `False`, these divergent', ' points will be detected as not having achieved the', ' required accuracy (without further details). In addition,', ' if ``adaptive`` is `False` then the algorithm will not', ' know that the solution (for specific points) is diverging', ' and will continue iterating and trying to "improve"', ' diverging solutions. This may result in ``NaN`` or', ' ``Inf`` values in the return results (in addition to a', ' performance penalties). Even when ``detect_divergence``', ' is `False`, :py:meth:`all_world2pix`, at the end of the', ' iterative process, will identify invalid results', ' (``NaN`` or ``Inf``) as "diverging" solutions and will', ' raise :py:class:`NoConvergence` unless the ``quiet``', ' parameter is set to `True`.', ' ', ' When ``detect_divergence`` is `True`,', ' :py:meth:`all_world2pix` will detect points for which', ' current correction to the coordinates is larger than', ' the correction applied during the previous iteration', ' **if** the requested accuracy **has not yet been', ' achieved**. In this case, if ``adaptive`` is `True`,', ' these points will be excluded from further iterations and', ' if ``adaptive`` is `False`, :py:meth:`all_world2pix` will', ' automatically switch to the adaptive algorithm. Thus, the', ' reported divergent solution will be the latest converging', ' solution computed immediately *before* divergence', ' has been detected.', ' ', ' .. note::', ' When accuracy has been achieved, small increases in', ' current corrections may be possible due to rounding', ' errors (when ``adaptive`` is `False`) and such', ' increases will be ignored.', ' ', ' .. note::', ' Based on our testing using HST ACS/WFC images, setting', ' ``detect_divergence`` to `True` will incur about 5-20%', ' performance penalty with the larger penalty', ' corresponding to ``adaptive`` set to `True`.', ' Because the benefits of enabling this', ' feature outweigh the small performance penalty,', ' especially when ``adaptive`` = `False`, it is', ' recommended to set ``detect_divergence`` to `True`,', ' unless extensive testing of the distortion models for', ' images from specific instruments show a good stability', ' of the numerical method for a wide range of', ' coordinates (even outside the image itself).', ' ', ' .. note::', ' Indices of the diverging inverse solutions will be', ' reported in the ``divergent`` attribute of the', ' raised :py:class:`NoConvergence` exception object.', '', ':Raises:', '', ' **NoConvergence**', '', ' The method did not converge to a', ' solution to the required accuracy within a specified', ' number of maximum iterations set by the ``maxiter``', ' parameter. To turn off this exception, set ``quiet`` to', ' `True`. Indices of the points for which the requested', ' accuracy was not achieved (if any) will be listed in the', ' ``slow_conv`` attribute of the', ' raised :py:class:`NoConvergence` exception object.', ' ', ' See :py:class:`NoConvergence` documentation for', ' more details.', ' ', '', ' **MemoryError**', '', ' Memory allocation failed.', ' ', '', ' **SingularMatrixError**', '', ' Linear transformation matrix is singular.', ' ', '', ' **InconsistentAxisTypesError**', '', ' Inconsistent or unrecognized coordinate axis types.', ' ', '', ' **ValueError**', '', ' Invalid parameter value.', ' ', '', ' **ValueError**', '', ' Invalid coordinate transformation parameters.', ' ', '', ' **ValueError**', '', ' x- and y-coordinate arrays are not the same size.', ' ', '', ' **InvalidTransformError**', '', ' Invalid coordinate transformation parameters.', ' ', '', ' **InvalidTransformError**', '', ' Ill-conditioned coordinate transformation parameters.', '', '.. rubric:: Notes', '', '', 'The order of the axes for the input world array is determined by', 'the ``CTYPEia`` keywords in the FITS header, therefore it may', 'not always be of the form (*ra*, *dec*). The', '`~astropy.wcs.Wcsprm.lat`, `~astropy.wcs.Wcsprm.lng`,', '`~astropy.wcs.Wcsprm.lattyp`, and', '`~astropy.wcs.Wcsprm.lngtyp`', 'members can be used to determine the order of the axes.', '', 'Using the method of fixed-point iterations approximations we', 'iterate starting with the initial approximation, which is', 'computed using the non-distortion-aware', ':py:meth:`wcs_world2pix` (or equivalent).', '', 'The :py:meth:`all_world2pix` function uses a vectorized', 'implementation of the method of consecutive approximations and', 'therefore it is highly efficient (>30x) when *all* data points', 'that need to be converted from sky coordinates to image', 'coordinates are passed at *once*. Therefore, it is advisable,', 'whenever possible, to pass as input a long array of all points', 'that need to be converted to :py:meth:`all_world2pix` instead', 'of calling :py:meth:`all_world2pix` for each data point. Also', 'see the note to the ``adaptive`` parameter.', '', '.. rubric:: Examples', '', '', '>>> import astropy.io.fits as fits', '>>> import astropy.wcs as wcs', '>>> import numpy as np', '>>> import os', '', ">>> filename = os.path.join(wcs.__path__[0], 'tests/data/j94f05bgq_flt.fits')", '>>> hdulist = fits.open(filename)', ">>> w = wcs.WCS(hdulist[('sci',1)].header, hdulist)", '>>> hdulist.close()', '', '>>> ra, dec = w.all_pix2world([1,2,3], [1,1,1], 1)', '>>> print(ra) # doctest: +FLOAT_CMP', '[ 5.52645627 5.52649663 5.52653698]', '>>> print(dec) # doctest: +FLOAT_CMP', '[-72.05171757 -72.05171276 -72.05170795]', '>>> radec = w.all_pix2world([[1,1], [2,1], [3,1]], 1)', '>>> print(radec) # doctest: +FLOAT_CMP', '[[ 5.52645627 -72.05171757]', ' [ 5.52649663 -72.05171276]', ' [ 5.52653698 -72.05170795]]', '>>> x, y = w.all_world2pix(ra, dec, 1)', '>>> print(x) # doctest: +FLOAT_CMP', '[ 1.00000238 2.00000237 3.00000236]', '>>> print(y) # doctest: +FLOAT_CMP', '[ 0.99999996 0.99999997 0.99999997]', '>>> xy = w.all_world2pix(radec, 1)', '>>> print(xy) # doctest: +FLOAT_CMP', '[[ 1.00000238 0.99999996]', ' [ 2.00000237 0.99999997]', ' [ 3.00000236 0.99999997]]', '>>> xy = w.all_world2pix(radec, 1, maxiter=3,', '... tolerance=1.0e-10, quiet=False)', 'Traceback (most recent call last):', '...', "NoConvergence: 'WCS.all_world2pix' failed to converge to the", 'requested accuracy. After 3 iterations, the solution is', 'diverging at least for one input point.', '', '>>> # Now try to use some diverging data:', '>>> divradec = w.all_pix2world([[1.0, 1.0],', '... [10000.0, 50000.0],', '... [3.0, 1.0]], 1)', '>>> print(divradec) # doctest: +FLOAT_CMP', '[[ 5.52645627 -72.05171757]', ' [ 7.15976932 -70.8140779 ]', ' [ 5.52653698 -72.05170795]]', '', '>>> # First, turn detect_divergence on:', '>>> try: # doctest: +FLOAT_CMP', '... xy = w.all_world2pix(divradec, 1, maxiter=20,', '... tolerance=1.0e-4, adaptive=False,', '... detect_divergence=True,', '... quiet=False)', '... except wcs.wcs.NoConvergence as e:', '... print("Indices of diverging points: {0}"', '... .format(e.divergent))', '... print("Indices of poorly converging points: {0}"', '... .format(e.slow_conv))', '... print("Best solution:\\n{0}".format(e.best_solution))', '... print("Achieved accuracy:\\n{0}".format(e.accuracy))', 'Indices of diverging points: [1]', 'Indices of poorly converging points: None', 'Best solution:', '[[ 1.00000238e+00 9.99999965e-01]', ' [ -1.99441636e+06 1.44309097e+06]', ' [ 3.00000236e+00 9.99999966e-01]]', 'Achieved accuracy:', '[[ 6.13968380e-05 8.59638593e-07]', ' [ 8.59526812e+11 6.61713548e+11]', ' [ 6.09398446e-05 8.38759724e-07]]', '>>> raise e', 'Traceback (most recent call last):', '...', "NoConvergence: 'WCS.all_world2pix' failed to converge to the", 'requested accuracy. After 5 iterations, the solution is', 'diverging at least for one input point.', '', '>>> # This time turn detect_divergence off:', '>>> try: # doctest: +FLOAT_CMP', '... xy = w.all_world2pix(divradec, 1, maxiter=20,', '... tolerance=1.0e-4, adaptive=False,', '... detect_divergence=False,', '... quiet=False)', '... except wcs.wcs.NoConvergence as e:', '... print("Indices of diverging points: {0}"', '... .format(e.divergent))', '... print("Indices of poorly converging points: {0}"', '... .format(e.slow_conv))', '... print("Best solution:\\n{0}".format(e.best_solution))', '... print("Achieved accuracy:\\n{0}".format(e.accuracy))', 'Indices of diverging points: [1]', 'Indices of poorly converging points: None', 'Best solution:', '[[ 1.00000009 1. ]', ' [ nan nan]', ' [ 3.00000009 1. ]]', 'Achieved accuracy:', '[[ 2.29417358e-06 3.21222995e-08]', ' [ nan nan]', ' [ 2.27407877e-06 3.13005639e-08]]', '>>> raise e', 'Traceback (most recent call last):', '...', "NoConvergence: 'WCS.all_world2pix' failed to converge to the", 'requested accuracy. After 6 iterations, the solution is', 'diverging at least for one input point.']:120: WARNING: py:obj reference target not found: False ['WCS.all_world2pix(*arg, accuracy=1.0e-4, maxiter=20, adaptive=False, detect_divergence=True, quiet=False)', ':module: astropy.wcs', '', '', '', 'Transforms world coordinates to pixel coordinates, using', 'numerical iteration to invert the full forward transformation', '`~astropy.wcs.WCS.all_pix2world` with complete', 'distortion model.', '', '', ':Parameters:', '', ' **args** : flexible', '', ' There are two accepted forms for the positional arguments:', ' ', ' - 2 arguments: An *N* x *naxis* array of coordinates, and an', ' *origin*.', ' ', ' - more than 2 arguments: An array for each axis, followed by', ' an *origin*. These arrays must be broadcastable to one', ' another.', ' ', ' Here, *origin* is the coordinate in the upper left corner of the', ' image. In FITS and Fortran standards, this is 1. In Numpy and C', ' standards this is 0.', ' ', ' For a transformation that is not two-dimensional, the', ' two-argument form must be used.', ' ', '', ' **ra_dec_order** : bool, optional', '', ' When `True` will ensure that world coordinates are always given', ' and returned in as (*ra*, *dec*) pairs, regardless of the order of', ' the axes specified by the in the ``CTYPE`` keywords. Default is', ' `False`.', ' ', '', ' **tolerance** : float, optional (Default = 1.0e-4)', '', ' Tolerance of solution. Iteration terminates when the', ' iterative solver estimates that the "true solution" is', ' within this many pixels current estimate, more', ' specifically, when the correction to the solution found', ' during the previous iteration is smaller', ' (in the sense of the L2 norm) than ``tolerance``.', ' ', '', ' **maxiter** : int, optional (Default = 20)', '', ' Maximum number of iterations allowed to reach a solution.', ' ', '', ' **quiet** : bool, optional (Default = False)', '', ' Do not throw :py:class:`NoConvergence` exceptions when', ' the method does not converge to a solution with the', ' required accuracy within a specified number of maximum', ' iterations set by ``maxiter`` parameter. Instead,', ' simply return the found solution.', '', ':Returns:', '', ' **result** : array', '', ' Returns the pixel coordinates. If the input was a single array and', ' origin, a single array is returned, otherwise a tuple of arrays is', ' returned.', '', ':Other Parameters:', '', ' **adaptive** : bool, optional (Default = False)', '', ' Specifies whether to adaptively select only points that', ' did not converge to a solution within the required', ' accuracy for the next iteration. Default is recommended', ' for HST as well as most other instruments.', ' ', ' .. note::', ' The :py:meth:`all_world2pix` uses a vectorized', ' implementation of the method of consecutive', ' approximations (see ``Notes`` section below) in which it', ' iterates over *all* input points *regardless* until', ' the required accuracy has been reached for *all* input', ' points. In some cases it may be possible that', ' *almost all* points have reached the required accuracy', ' but there are only a few of input data points for', ' which additional iterations may be needed (this', ' depends mostly on the characteristics of the geometric', ' distortions for a given instrument). In this situation', ' it may be advantageous to set ``adaptive`` = `True` in', ' which case :py:meth:`all_world2pix` will continue', ' iterating *only* over the points that have not yet', ' converged to the required accuracy. However, for the', " HST's ACS/WFC detector, which has the strongest", ' distortions of all HST instruments, testing has', ' shown that enabling this option would lead to a about', ' 50-100% penalty in computational time (depending on', ' specifics of the image, geometric distortions, and', ' number of input points to be converted). Therefore,', ' for HST and possibly instruments, it is recommended', ' to set ``adaptive`` = `False`. The only danger in', ' getting this setting wrong will be a performance', ' penalty.', ' ', ' .. note::', ' When ``detect_divergence`` is `True`,', ' :py:meth:`all_world2pix` will automatically switch', ' to the adaptive algorithm once divergence has been', ' detected.', ' ', '', ' **detect_divergence** : bool, optional (Default = True)', '', ' Specifies whether to perform a more detailed analysis', ' of the convergence to a solution. Normally', ' :py:meth:`all_world2pix` may not achieve the required', ' accuracy if either the ``tolerance`` or ``maxiter`` arguments', ' are too low. However, it may happen that for some', ' geometric distortions the conditions of convergence for', ' the the method of consecutive approximations used by', ' :py:meth:`all_world2pix` may not be satisfied, in which', ' case consecutive approximations to the solution will', ' diverge regardless of the ``tolerance`` or ``maxiter``', ' settings.', ' ', ' When ``detect_divergence`` is `False`, these divergent', ' points will be detected as not having achieved the', ' required accuracy (without further details). In addition,', ' if ``adaptive`` is `False` then the algorithm will not', ' know that the solution (for specific points) is diverging', ' and will continue iterating and trying to "improve"', ' diverging solutions. This may result in ``NaN`` or', ' ``Inf`` values in the return results (in addition to a', ' performance penalties). Even when ``detect_divergence``', ' is `False`, :py:meth:`all_world2pix`, at the end of the', ' iterative process, will identify invalid results', ' (``NaN`` or ``Inf``) as "diverging" solutions and will', ' raise :py:class:`NoConvergence` unless the ``quiet``', ' parameter is set to `True`.', ' ', ' When ``detect_divergence`` is `True`,', ' :py:meth:`all_world2pix` will detect points for which', ' current correction to the coordinates is larger than', ' the correction applied during the previous iteration', ' **if** the requested accuracy **has not yet been', ' achieved**. In this case, if ``adaptive`` is `True`,', ' these points will be excluded from further iterations and', ' if ``adaptive`` is `False`, :py:meth:`all_world2pix` will', ' automatically switch to the adaptive algorithm. Thus, the', ' reported divergent solution will be the latest converging', ' solution computed immediately *before* divergence', ' has been detected.', ' ', ' .. note::', ' When accuracy has been achieved, small increases in', ' current corrections may be possible due to rounding', ' errors (when ``adaptive`` is `False`) and such', ' increases will be ignored.', ' ', ' .. note::', ' Based on our testing using HST ACS/WFC images, setting', ' ``detect_divergence`` to `True` will incur about 5-20%', ' performance penalty with the larger penalty', ' corresponding to ``adaptive`` set to `True`.', ' Because the benefits of enabling this', ' feature outweigh the small performance penalty,', ' especially when ``adaptive`` = `False`, it is', ' recommended to set ``detect_divergence`` to `True`,', ' unless extensive testing of the distortion models for', ' images from specific instruments show a good stability', ' of the numerical method for a wide range of', ' coordinates (even outside the image itself).', ' ', ' .. note::', ' Indices of the diverging inverse solutions will be', ' reported in the ``divergent`` attribute of the', ' raised :py:class:`NoConvergence` exception object.', '', ':Raises:', '', ' **NoConvergence**', '', ' The method did not converge to a', ' solution to the required accuracy within a specified', ' number of maximum iterations set by the ``maxiter``', ' parameter. To turn off this exception, set ``quiet`` to', ' `True`. Indices of the points for which the requested', ' accuracy was not achieved (if any) will be listed in the', ' ``slow_conv`` attribute of the', ' raised :py:class:`NoConvergence` exception object.', ' ', ' See :py:class:`NoConvergence` documentation for', ' more details.', ' ', '', ' **MemoryError**', '', ' Memory allocation failed.', ' ', '', ' **SingularMatrixError**', '', ' Linear transformation matrix is singular.', ' ', '', ' **InconsistentAxisTypesError**', '', ' Inconsistent or unrecognized coordinate axis types.', ' ', '', ' **ValueError**', '', ' Invalid parameter value.', ' ', '', ' **ValueError**', '', ' Invalid coordinate transformation parameters.', ' ', '', ' **ValueError**', '', ' x- and y-coordinate arrays are not the same size.', ' ', '', ' **InvalidTransformError**', '', ' Invalid coordinate transformation parameters.', ' ', '', ' **InvalidTransformError**', '', ' Ill-conditioned coordinate transformation parameters.', '', '.. rubric:: Notes', '', '', 'The order of the axes for the input world array is determined by', 'the ``CTYPEia`` keywords in the FITS header, therefore it may', 'not always be of the form (*ra*, *dec*). The', '`~astropy.wcs.Wcsprm.lat`, `~astropy.wcs.Wcsprm.lng`,', '`~astropy.wcs.Wcsprm.lattyp`, and', '`~astropy.wcs.Wcsprm.lngtyp`', 'members can be used to determine the order of the axes.', '', 'Using the method of fixed-point iterations approximations we', 'iterate starting with the initial approximation, which is', 'computed using the non-distortion-aware', ':py:meth:`wcs_world2pix` (or equivalent).', '', 'The :py:meth:`all_world2pix` function uses a vectorized', 'implementation of the method of consecutive approximations and', 'therefore it is highly efficient (>30x) when *all* data points', 'that need to be converted from sky coordinates to image', 'coordinates are passed at *once*. Therefore, it is advisable,', 'whenever possible, to pass as input a long array of all points', 'that need to be converted to :py:meth:`all_world2pix` instead', 'of calling :py:meth:`all_world2pix` for each data point. Also', 'see the note to the ``adaptive`` parameter.', '', '.. rubric:: Examples', '', '', '>>> import astropy.io.fits as fits', '>>> import astropy.wcs as wcs', '>>> import numpy as np', '>>> import os', '', ">>> filename = os.path.join(wcs.__path__[0], 'tests/data/j94f05bgq_flt.fits')", '>>> hdulist = fits.open(filename)', ">>> w = wcs.WCS(hdulist[('sci',1)].header, hdulist)", '>>> hdulist.close()', '', '>>> ra, dec = w.all_pix2world([1,2,3], [1,1,1], 1)', '>>> print(ra) # doctest: +FLOAT_CMP', '[ 5.52645627 5.52649663 5.52653698]', '>>> print(dec) # doctest: +FLOAT_CMP', '[-72.05171757 -72.05171276 -72.05170795]', '>>> radec = w.all_pix2world([[1,1], [2,1], [3,1]], 1)', '>>> print(radec) # doctest: +FLOAT_CMP', '[[ 5.52645627 -72.05171757]', ' [ 5.52649663 -72.05171276]', ' [ 5.52653698 -72.05170795]]', '>>> x, y = w.all_world2pix(ra, dec, 1)', '>>> print(x) # doctest: +FLOAT_CMP', '[ 1.00000238 2.00000237 3.00000236]', '>>> print(y) # doctest: +FLOAT_CMP', '[ 0.99999996 0.99999997 0.99999997]', '>>> xy = w.all_world2pix(radec, 1)', '>>> print(xy) # doctest: +FLOAT_CMP', '[[ 1.00000238 0.99999996]', ' [ 2.00000237 0.99999997]', ' [ 3.00000236 0.99999997]]', '>>> xy = w.all_world2pix(radec, 1, maxiter=3,', '... tolerance=1.0e-10, quiet=False)', 'Traceback (most recent call last):', '...', "NoConvergence: 'WCS.all_world2pix' failed to converge to the", 'requested accuracy. After 3 iterations, the solution is', 'diverging at least for one input point.', '', '>>> # Now try to use some diverging data:', '>>> divradec = w.all_pix2world([[1.0, 1.0],', '... [10000.0, 50000.0],', '... [3.0, 1.0]], 1)', '>>> print(divradec) # doctest: +FLOAT_CMP', '[[ 5.52645627 -72.05171757]', ' [ 7.15976932 -70.8140779 ]', ' [ 5.52653698 -72.05170795]]', '', '>>> # First, turn detect_divergence on:', '>>> try: # doctest: +FLOAT_CMP', '... xy = w.all_world2pix(divradec, 1, maxiter=20,', '... tolerance=1.0e-4, adaptive=False,', '... detect_divergence=True,', '... quiet=False)', '... except wcs.wcs.NoConvergence as e:', '... print("Indices of diverging points: {0}"', '... .format(e.divergent))', '... print("Indices of poorly converging points: {0}"', '... .format(e.slow_conv))', '... print("Best solution:\\n{0}".format(e.best_solution))', '... print("Achieved accuracy:\\n{0}".format(e.accuracy))', 'Indices of diverging points: [1]', 'Indices of poorly converging points: None', 'Best solution:', '[[ 1.00000238e+00 9.99999965e-01]', ' [ -1.99441636e+06 1.44309097e+06]', ' [ 3.00000236e+00 9.99999966e-01]]', 'Achieved accuracy:', '[[ 6.13968380e-05 8.59638593e-07]', ' [ 8.59526812e+11 6.61713548e+11]', ' [ 6.09398446e-05 8.38759724e-07]]', '>>> raise e', 'Traceback (most recent call last):', '...', "NoConvergence: 'WCS.all_world2pix' failed to converge to the", 'requested accuracy. After 5 iterations, the solution is', 'diverging at least for one input point.', '', '>>> # This time turn detect_divergence off:', '>>> try: # doctest: +FLOAT_CMP', '... xy = w.all_world2pix(divradec, 1, maxiter=20,', '... tolerance=1.0e-4, adaptive=False,', '... detect_divergence=False,', '... quiet=False)', '... except wcs.wcs.NoConvergence as e:', '... print("Indices of diverging points: {0}"', '... .format(e.divergent))', '... print("Indices of poorly converging points: {0}"', '... .format(e.slow_conv))', '... print("Best solution:\\n{0}".format(e.best_solution))', '... print("Achieved accuracy:\\n{0}".format(e.accuracy))', 'Indices of diverging points: [1]', 'Indices of poorly converging points: None', 'Best solution:', '[[ 1.00000009 1. ]', ' [ nan nan]', ' [ 3.00000009 1. ]]', 'Achieved accuracy:', '[[ 2.29417358e-06 3.21222995e-08]', ' [ nan nan]', ' [ 2.27407877e-06 3.13005639e-08]]', '>>> raise e', 'Traceback (most recent call last):', '...', "NoConvergence: 'WCS.all_world2pix' failed to converge to the", 'requested accuracy. After 6 iterations, the solution is', 'diverging at least for one input point.']:120: WARNING: py:obj reference target not found: False ['WCS.all_world2pix(*arg, accuracy=1.0e-4, maxiter=20, adaptive=False, detect_divergence=True, quiet=False)', ':module: astropy.wcs', '', '', '', 'Transforms world coordinates to pixel coordinates, using', 'numerical iteration to invert the full forward transformation', '`~astropy.wcs.WCS.all_pix2world` with complete', 'distortion model.', '', '', ':Parameters:', '', ' **args** : flexible', '', ' There are two accepted forms for the positional arguments:', ' ', ' - 2 arguments: An *N* x *naxis* array of coordinates, and an', ' *origin*.', ' ', ' - more than 2 arguments: An array for each axis, followed by', ' an *origin*. These arrays must be broadcastable to one', ' another.', ' ', ' Here, *origin* is the coordinate in the upper left corner of the', ' image. In FITS and Fortran standards, this is 1. In Numpy and C', ' standards this is 0.', ' ', ' For a transformation that is not two-dimensional, the', ' two-argument form must be used.', ' ', '', ' **ra_dec_order** : bool, optional', '', ' When `True` will ensure that world coordinates are always given', ' and returned in as (*ra*, *dec*) pairs, regardless of the order of', ' the axes specified by the in the ``CTYPE`` keywords. Default is', ' `False`.', ' ', '', ' **tolerance** : float, optional (Default = 1.0e-4)', '', ' Tolerance of solution. Iteration terminates when the', ' iterative solver estimates that the "true solution" is', ' within this many pixels current estimate, more', ' specifically, when the correction to the solution found', ' during the previous iteration is smaller', ' (in the sense of the L2 norm) than ``tolerance``.', ' ', '', ' **maxiter** : int, optional (Default = 20)', '', ' Maximum number of iterations allowed to reach a solution.', ' ', '', ' **quiet** : bool, optional (Default = False)', '', ' Do not throw :py:class:`NoConvergence` exceptions when', ' the method does not converge to a solution with the', ' required accuracy within a specified number of maximum', ' iterations set by ``maxiter`` parameter. Instead,', ' simply return the found solution.', '', ':Returns:', '', ' **result** : array', '', ' Returns the pixel coordinates. If the input was a single array and', ' origin, a single array is returned, otherwise a tuple of arrays is', ' returned.', '', ':Other Parameters:', '', ' **adaptive** : bool, optional (Default = False)', '', ' Specifies whether to adaptively select only points that', ' did not converge to a solution within the required', ' accuracy for the next iteration. Default is recommended', ' for HST as well as most other instruments.', ' ', ' .. note::', ' The :py:meth:`all_world2pix` uses a vectorized', ' implementation of the method of consecutive', ' approximations (see ``Notes`` section below) in which it', ' iterates over *all* input points *regardless* until', ' the required accuracy has been reached for *all* input', ' points. In some cases it may be possible that', ' *almost all* points have reached the required accuracy', ' but there are only a few of input data points for', ' which additional iterations may be needed (this', ' depends mostly on the characteristics of the geometric', ' distortions for a given instrument). In this situation', ' it may be advantageous to set ``adaptive`` = `True` in', ' which case :py:meth:`all_world2pix` will continue', ' iterating *only* over the points that have not yet', ' converged to the required accuracy. However, for the', " HST's ACS/WFC detector, which has the strongest", ' distortions of all HST instruments, testing has', ' shown that enabling this option would lead to a about', ' 50-100% penalty in computational time (depending on', ' specifics of the image, geometric distortions, and', ' number of input points to be converted). Therefore,', ' for HST and possibly instruments, it is recommended', ' to set ``adaptive`` = `False`. The only danger in', ' getting this setting wrong will be a performance', ' penalty.', ' ', ' .. note::', ' When ``detect_divergence`` is `True`,', ' :py:meth:`all_world2pix` will automatically switch', ' to the adaptive algorithm once divergence has been', ' detected.', ' ', '', ' **detect_divergence** : bool, optional (Default = True)', '', ' Specifies whether to perform a more detailed analysis', ' of the convergence to a solution. Normally', ' :py:meth:`all_world2pix` may not achieve the required', ' accuracy if either the ``tolerance`` or ``maxiter`` arguments', ' are too low. However, it may happen that for some', ' geometric distortions the conditions of convergence for', ' the the method of consecutive approximations used by', ' :py:meth:`all_world2pix` may not be satisfied, in which', ' case consecutive approximations to the solution will', ' diverge regardless of the ``tolerance`` or ``maxiter``', ' settings.', ' ', ' When ``detect_divergence`` is `False`, these divergent', ' points will be detected as not having achieved the', ' required accuracy (without further details). In addition,', ' if ``adaptive`` is `False` then the algorithm will not', ' know that the solution (for specific points) is diverging', ' and will continue iterating and trying to "improve"', ' diverging solutions. This may result in ``NaN`` or', ' ``Inf`` values in the return results (in addition to a', ' performance penalties). Even when ``detect_divergence``', ' is `False`, :py:meth:`all_world2pix`, at the end of the', ' iterative process, will identify invalid results', ' (``NaN`` or ``Inf``) as "diverging" solutions and will', ' raise :py:class:`NoConvergence` unless the ``quiet``', ' parameter is set to `True`.', ' ', ' When ``detect_divergence`` is `True`,', ' :py:meth:`all_world2pix` will detect points for which', ' current correction to the coordinates is larger than', ' the correction applied during the previous iteration', ' **if** the requested accuracy **has not yet been', ' achieved**. In this case, if ``adaptive`` is `True`,', ' these points will be excluded from further iterations and', ' if ``adaptive`` is `False`, :py:meth:`all_world2pix` will', ' automatically switch to the adaptive algorithm. Thus, the', ' reported divergent solution will be the latest converging', ' solution computed immediately *before* divergence', ' has been detected.', ' ', ' .. note::', ' When accuracy has been achieved, small increases in', ' current corrections may be possible due to rounding', ' errors (when ``adaptive`` is `False`) and such', ' increases will be ignored.', ' ', ' .. note::', ' Based on our testing using HST ACS/WFC images, setting', ' ``detect_divergence`` to `True` will incur about 5-20%', ' performance penalty with the larger penalty', ' corresponding to ``adaptive`` set to `True`.', ' Because the benefits of enabling this', ' feature outweigh the small performance penalty,', ' especially when ``adaptive`` = `False`, it is', ' recommended to set ``detect_divergence`` to `True`,', ' unless extensive testing of the distortion models for', ' images from specific instruments show a good stability', ' of the numerical method for a wide range of', ' coordinates (even outside the image itself).', ' ', ' .. note::', ' Indices of the diverging inverse solutions will be', ' reported in the ``divergent`` attribute of the', ' raised :py:class:`NoConvergence` exception object.', '', ':Raises:', '', ' **NoConvergence**', '', ' The method did not converge to a', ' solution to the required accuracy within a specified', ' number of maximum iterations set by the ``maxiter``', ' parameter. To turn off this exception, set ``quiet`` to', ' `True`. Indices of the points for which the requested', ' accuracy was not achieved (if any) will be listed in the', ' ``slow_conv`` attribute of the', ' raised :py:class:`NoConvergence` exception object.', ' ', ' See :py:class:`NoConvergence` documentation for', ' more details.', ' ', '', ' **MemoryError**', '', ' Memory allocation failed.', ' ', '', ' **SingularMatrixError**', '', ' Linear transformation matrix is singular.', ' ', '', ' **InconsistentAxisTypesError**', '', ' Inconsistent or unrecognized coordinate axis types.', ' ', '', ' **ValueError**', '', ' Invalid parameter value.', ' ', '', ' **ValueError**', '', ' Invalid coordinate transformation parameters.', ' ', '', ' **ValueError**', '', ' x- and y-coordinate arrays are not the same size.', ' ', '', ' **InvalidTransformError**', '', ' Invalid coordinate transformation parameters.', ' ', '', ' **InvalidTransformError**', '', ' Ill-conditioned coordinate transformation parameters.', '', '.. rubric:: Notes', '', '', 'The order of the axes for the input world array is determined by', 'the ``CTYPEia`` keywords in the FITS header, therefore it may', 'not always be of the form (*ra*, *dec*). The', '`~astropy.wcs.Wcsprm.lat`, `~astropy.wcs.Wcsprm.lng`,', '`~astropy.wcs.Wcsprm.lattyp`, and', '`~astropy.wcs.Wcsprm.lngtyp`', 'members can be used to determine the order of the axes.', '', 'Using the method of fixed-point iterations approximations we', 'iterate starting with the initial approximation, which is', 'computed using the non-distortion-aware', ':py:meth:`wcs_world2pix` (or equivalent).', '', 'The :py:meth:`all_world2pix` function uses a vectorized', 'implementation of the method of consecutive approximations and', 'therefore it is highly efficient (>30x) when *all* data points', 'that need to be converted from sky coordinates to image', 'coordinates are passed at *once*. Therefore, it is advisable,', 'whenever possible, to pass as input a long array of all points', 'that need to be converted to :py:meth:`all_world2pix` instead', 'of calling :py:meth:`all_world2pix` for each data point. Also', 'see the note to the ``adaptive`` parameter.', '', '.. rubric:: Examples', '', '', '>>> import astropy.io.fits as fits', '>>> import astropy.wcs as wcs', '>>> import numpy as np', '>>> import os', '', ">>> filename = os.path.join(wcs.__path__[0], 'tests/data/j94f05bgq_flt.fits')", '>>> hdulist = fits.open(filename)', ">>> w = wcs.WCS(hdulist[('sci',1)].header, hdulist)", '>>> hdulist.close()', '', '>>> ra, dec = w.all_pix2world([1,2,3], [1,1,1], 1)', '>>> print(ra) # doctest: +FLOAT_CMP', '[ 5.52645627 5.52649663 5.52653698]', '>>> print(dec) # doctest: +FLOAT_CMP', '[-72.05171757 -72.05171276 -72.05170795]', '>>> radec = w.all_pix2world([[1,1], [2,1], [3,1]], 1)', '>>> print(radec) # doctest: +FLOAT_CMP', '[[ 5.52645627 -72.05171757]', ' [ 5.52649663 -72.05171276]', ' [ 5.52653698 -72.05170795]]', '>>> x, y = w.all_world2pix(ra, dec, 1)', '>>> print(x) # doctest: +FLOAT_CMP', '[ 1.00000238 2.00000237 3.00000236]', '>>> print(y) # doctest: +FLOAT_CMP', '[ 0.99999996 0.99999997 0.99999997]', '>>> xy = w.all_world2pix(radec, 1)', '>>> print(xy) # doctest: +FLOAT_CMP', '[[ 1.00000238 0.99999996]', ' [ 2.00000237 0.99999997]', ' [ 3.00000236 0.99999997]]', '>>> xy = w.all_world2pix(radec, 1, maxiter=3,', '... tolerance=1.0e-10, quiet=False)', 'Traceback (most recent call last):', '...', "NoConvergence: 'WCS.all_world2pix' failed to converge to the", 'requested accuracy. After 3 iterations, the solution is', 'diverging at least for one input point.', '', '>>> # Now try to use some diverging data:', '>>> divradec = w.all_pix2world([[1.0, 1.0],', '... [10000.0, 50000.0],', '... [3.0, 1.0]], 1)', '>>> print(divradec) # doctest: +FLOAT_CMP', '[[ 5.52645627 -72.05171757]', ' [ 7.15976932 -70.8140779 ]', ' [ 5.52653698 -72.05170795]]', '', '>>> # First, turn detect_divergence on:', '>>> try: # doctest: +FLOAT_CMP', '... xy = w.all_world2pix(divradec, 1, maxiter=20,', '... tolerance=1.0e-4, adaptive=False,', '... detect_divergence=True,', '... quiet=False)', '... except wcs.wcs.NoConvergence as e:', '... print("Indices of diverging points: {0}"', '... .format(e.divergent))', '... print("Indices of poorly converging points: {0}"', '... .format(e.slow_conv))', '... print("Best solution:\\n{0}".format(e.best_solution))', '... print("Achieved accuracy:\\n{0}".format(e.accuracy))', 'Indices of diverging points: [1]', 'Indices of poorly converging points: None', 'Best solution:', '[[ 1.00000238e+00 9.99999965e-01]', ' [ -1.99441636e+06 1.44309097e+06]', ' [ 3.00000236e+00 9.99999966e-01]]', 'Achieved accuracy:', '[[ 6.13968380e-05 8.59638593e-07]', ' [ 8.59526812e+11 6.61713548e+11]', ' [ 6.09398446e-05 8.38759724e-07]]', '>>> raise e', 'Traceback (most recent call last):', '...', "NoConvergence: 'WCS.all_world2pix' failed to converge to the", 'requested accuracy. After 5 iterations, the solution is', 'diverging at least for one input point.', '', '>>> # This time turn detect_divergence off:', '>>> try: # doctest: +FLOAT_CMP', '... xy = w.all_world2pix(divradec, 1, maxiter=20,', '... tolerance=1.0e-4, adaptive=False,', '... detect_divergence=False,', '... quiet=False)', '... except wcs.wcs.NoConvergence as e:', '... print("Indices of diverging points: {0}"', '... .format(e.divergent))', '... print("Indices of poorly converging points: {0}"', '... .format(e.slow_conv))', '... print("Best solution:\\n{0}".format(e.best_solution))', '... print("Achieved accuracy:\\n{0}".format(e.accuracy))', 'Indices of diverging points: [1]', 'Indices of poorly converging points: None', 'Best solution:', '[[ 1.00000009 1. ]', ' [ nan nan]', ' [ 3.00000009 1. ]]', 'Achieved accuracy:', '[[ 2.29417358e-06 3.21222995e-08]', ' [ nan nan]', ' [ 2.27407877e-06 3.13005639e-08]]', '>>> raise e', 'Traceback (most recent call last):', '...', "NoConvergence: 'WCS.all_world2pix' failed to converge to the", 'requested accuracy. After 6 iterations, the solution is', 'diverging at least for one input point.']:120: WARNING: py:obj reference target not found: True ['WCS.all_world2pix(*arg, accuracy=1.0e-4, maxiter=20, adaptive=False, detect_divergence=True, quiet=False)', ':module: astropy.wcs', '', '', '', 'Transforms world coordinates to pixel coordinates, using', 'numerical iteration to invert the full forward transformation', '`~astropy.wcs.WCS.all_pix2world` with complete', 'distortion model.', '', '', ':Parameters:', '', ' **args** : flexible', '', ' There are two accepted forms for the positional arguments:', ' ', ' - 2 arguments: An *N* x *naxis* array of coordinates, and an', ' *origin*.', ' ', ' - more than 2 arguments: An array for each axis, followed by', ' an *origin*. These arrays must be broadcastable to one', ' another.', ' ', ' Here, *origin* is the coordinate in the upper left corner of the', ' image. In FITS and Fortran standards, this is 1. In Numpy and C', ' standards this is 0.', ' ', ' For a transformation that is not two-dimensional, the', ' two-argument form must be used.', ' ', '', ' **ra_dec_order** : bool, optional', '', ' When `True` will ensure that world coordinates are always given', ' and returned in as (*ra*, *dec*) pairs, regardless of the order of', ' the axes specified by the in the ``CTYPE`` keywords. Default is', ' `False`.', ' ', '', ' **tolerance** : float, optional (Default = 1.0e-4)', '', ' Tolerance of solution. Iteration terminates when the', ' iterative solver estimates that the "true solution" is', ' within this many pixels current estimate, more', ' specifically, when the correction to the solution found', ' during the previous iteration is smaller', ' (in the sense of the L2 norm) than ``tolerance``.', ' ', '', ' **maxiter** : int, optional (Default = 20)', '', ' Maximum number of iterations allowed to reach a solution.', ' ', '', ' **quiet** : bool, optional (Default = False)', '', ' Do not throw :py:class:`NoConvergence` exceptions when', ' the method does not converge to a solution with the', ' required accuracy within a specified number of maximum', ' iterations set by ``maxiter`` parameter. Instead,', ' simply return the found solution.', '', ':Returns:', '', ' **result** : array', '', ' Returns the pixel coordinates. If the input was a single array and', ' origin, a single array is returned, otherwise a tuple of arrays is', ' returned.', '', ':Other Parameters:', '', ' **adaptive** : bool, optional (Default = False)', '', ' Specifies whether to adaptively select only points that', ' did not converge to a solution within the required', ' accuracy for the next iteration. Default is recommended', ' for HST as well as most other instruments.', ' ', ' .. note::', ' The :py:meth:`all_world2pix` uses a vectorized', ' implementation of the method of consecutive', ' approximations (see ``Notes`` section below) in which it', ' iterates over *all* input points *regardless* until', ' the required accuracy has been reached for *all* input', ' points. In some cases it may be possible that', ' *almost all* points have reached the required accuracy', ' but there are only a few of input data points for', ' which additional iterations may be needed (this', ' depends mostly on the characteristics of the geometric', ' distortions for a given instrument). In this situation', ' it may be advantageous to set ``adaptive`` = `True` in', ' which case :py:meth:`all_world2pix` will continue', ' iterating *only* over the points that have not yet', ' converged to the required accuracy. However, for the', " HST's ACS/WFC detector, which has the strongest", ' distortions of all HST instruments, testing has', ' shown that enabling this option would lead to a about', ' 50-100% penalty in computational time (depending on', ' specifics of the image, geometric distortions, and', ' number of input points to be converted). Therefore,', ' for HST and possibly instruments, it is recommended', ' to set ``adaptive`` = `False`. The only danger in', ' getting this setting wrong will be a performance', ' penalty.', ' ', ' .. note::', ' When ``detect_divergence`` is `True`,', ' :py:meth:`all_world2pix` will automatically switch', ' to the adaptive algorithm once divergence has been', ' detected.', ' ', '', ' **detect_divergence** : bool, optional (Default = True)', '', ' Specifies whether to perform a more detailed analysis', ' of the convergence to a solution. Normally', ' :py:meth:`all_world2pix` may not achieve the required', ' accuracy if either the ``tolerance`` or ``maxiter`` arguments', ' are too low. However, it may happen that for some', ' geometric distortions the conditions of convergence for', ' the the method of consecutive approximations used by', ' :py:meth:`all_world2pix` may not be satisfied, in which', ' case consecutive approximations to the solution will', ' diverge regardless of the ``tolerance`` or ``maxiter``', ' settings.', ' ', ' When ``detect_divergence`` is `False`, these divergent', ' points will be detected as not having achieved the', ' required accuracy (without further details). In addition,', ' if ``adaptive`` is `False` then the algorithm will not', ' know that the solution (for specific points) is diverging', ' and will continue iterating and trying to "improve"', ' diverging solutions. This may result in ``NaN`` or', ' ``Inf`` values in the return results (in addition to a', ' performance penalties). Even when ``detect_divergence``', ' is `False`, :py:meth:`all_world2pix`, at the end of the', ' iterative process, will identify invalid results', ' (``NaN`` or ``Inf``) as "diverging" solutions and will', ' raise :py:class:`NoConvergence` unless the ``quiet``', ' parameter is set to `True`.', ' ', ' When ``detect_divergence`` is `True`,', ' :py:meth:`all_world2pix` will detect points for which', ' current correction to the coordinates is larger than', ' the correction applied during the previous iteration', ' **if** the requested accuracy **has not yet been', ' achieved**. In this case, if ``adaptive`` is `True`,', ' these points will be excluded from further iterations and', ' if ``adaptive`` is `False`, :py:meth:`all_world2pix` will', ' automatically switch to the adaptive algorithm. Thus, the', ' reported divergent solution will be the latest converging', ' solution computed immediately *before* divergence', ' has been detected.', ' ', ' .. note::', ' When accuracy has been achieved, small increases in', ' current corrections may be possible due to rounding', ' errors (when ``adaptive`` is `False`) and such', ' increases will be ignored.', ' ', ' .. note::', ' Based on our testing using HST ACS/WFC images, setting', ' ``detect_divergence`` to `True` will incur about 5-20%', ' performance penalty with the larger penalty', ' corresponding to ``adaptive`` set to `True`.', ' Because the benefits of enabling this', ' feature outweigh the small performance penalty,', ' especially when ``adaptive`` = `False`, it is', ' recommended to set ``detect_divergence`` to `True`,', ' unless extensive testing of the distortion models for', ' images from specific instruments show a good stability', ' of the numerical method for a wide range of', ' coordinates (even outside the image itself).', ' ', ' .. note::', ' Indices of the diverging inverse solutions will be', ' reported in the ``divergent`` attribute of the', ' raised :py:class:`NoConvergence` exception object.', '', ':Raises:', '', ' **NoConvergence**', '', ' The method did not converge to a', ' solution to the required accuracy within a specified', ' number of maximum iterations set by the ``maxiter``', ' parameter. To turn off this exception, set ``quiet`` to', ' `True`. Indices of the points for which the requested', ' accuracy was not achieved (if any) will be listed in the', ' ``slow_conv`` attribute of the', ' raised :py:class:`NoConvergence` exception object.', ' ', ' See :py:class:`NoConvergence` documentation for', ' more details.', ' ', '', ' **MemoryError**', '', ' Memory allocation failed.', ' ', '', ' **SingularMatrixError**', '', ' Linear transformation matrix is singular.', ' ', '', ' **InconsistentAxisTypesError**', '', ' Inconsistent or unrecognized coordinate axis types.', ' ', '', ' **ValueError**', '', ' Invalid parameter value.', ' ', '', ' **ValueError**', '', ' Invalid coordinate transformation parameters.', ' ', '', ' **ValueError**', '', ' x- and y-coordinate arrays are not the same size.', ' ', '', ' **InvalidTransformError**', '', ' Invalid coordinate transformation parameters.', ' ', '', ' **InvalidTransformError**', '', ' Ill-conditioned coordinate transformation parameters.', '', '.. rubric:: Notes', '', '', 'The order of the axes for the input world array is determined by', 'the ``CTYPEia`` keywords in the FITS header, therefore it may', 'not always be of the form (*ra*, *dec*). The', '`~astropy.wcs.Wcsprm.lat`, `~astropy.wcs.Wcsprm.lng`,', '`~astropy.wcs.Wcsprm.lattyp`, and', '`~astropy.wcs.Wcsprm.lngtyp`', 'members can be used to determine the order of the axes.', '', 'Using the method of fixed-point iterations approximations we', 'iterate starting with the initial approximation, which is', 'computed using the non-distortion-aware', ':py:meth:`wcs_world2pix` (or equivalent).', '', 'The :py:meth:`all_world2pix` function uses a vectorized', 'implementation of the method of consecutive approximations and', 'therefore it is highly efficient (>30x) when *all* data points', 'that need to be converted from sky coordinates to image', 'coordinates are passed at *once*. Therefore, it is advisable,', 'whenever possible, to pass as input a long array of all points', 'that need to be converted to :py:meth:`all_world2pix` instead', 'of calling :py:meth:`all_world2pix` for each data point. Also', 'see the note to the ``adaptive`` parameter.', '', '.. rubric:: Examples', '', '', '>>> import astropy.io.fits as fits', '>>> import astropy.wcs as wcs', '>>> import numpy as np', '>>> import os', '', ">>> filename = os.path.join(wcs.__path__[0], 'tests/data/j94f05bgq_flt.fits')", '>>> hdulist = fits.open(filename)', ">>> w = wcs.WCS(hdulist[('sci',1)].header, hdulist)", '>>> hdulist.close()', '', '>>> ra, dec = w.all_pix2world([1,2,3], [1,1,1], 1)', '>>> print(ra) # doctest: +FLOAT_CMP', '[ 5.52645627 5.52649663 5.52653698]', '>>> print(dec) # doctest: +FLOAT_CMP', '[-72.05171757 -72.05171276 -72.05170795]', '>>> radec = w.all_pix2world([[1,1], [2,1], [3,1]], 1)', '>>> print(radec) # doctest: +FLOAT_CMP', '[[ 5.52645627 -72.05171757]', ' [ 5.52649663 -72.05171276]', ' [ 5.52653698 -72.05170795]]', '>>> x, y = w.all_world2pix(ra, dec, 1)', '>>> print(x) # doctest: +FLOAT_CMP', '[ 1.00000238 2.00000237 3.00000236]', '>>> print(y) # doctest: +FLOAT_CMP', '[ 0.99999996 0.99999997 0.99999997]', '>>> xy = w.all_world2pix(radec, 1)', '>>> print(xy) # doctest: +FLOAT_CMP', '[[ 1.00000238 0.99999996]', ' [ 2.00000237 0.99999997]', ' [ 3.00000236 0.99999997]]', '>>> xy = w.all_world2pix(radec, 1, maxiter=3,', '... tolerance=1.0e-10, quiet=False)', 'Traceback (most recent call last):', '...', "NoConvergence: 'WCS.all_world2pix' failed to converge to the", 'requested accuracy. After 3 iterations, the solution is', 'diverging at least for one input point.', '', '>>> # Now try to use some diverging data:', '>>> divradec = w.all_pix2world([[1.0, 1.0],', '... [10000.0, 50000.0],', '... [3.0, 1.0]], 1)', '>>> print(divradec) # doctest: +FLOAT_CMP', '[[ 5.52645627 -72.05171757]', ' [ 7.15976932 -70.8140779 ]', ' [ 5.52653698 -72.05170795]]', '', '>>> # First, turn detect_divergence on:', '>>> try: # doctest: +FLOAT_CMP', '... xy = w.all_world2pix(divradec, 1, maxiter=20,', '... tolerance=1.0e-4, adaptive=False,', '... detect_divergence=True,', '... quiet=False)', '... except wcs.wcs.NoConvergence as e:', '... print("Indices of diverging points: {0}"', '... .format(e.divergent))', '... print("Indices of poorly converging points: {0}"', '... .format(e.slow_conv))', '... print("Best solution:\\n{0}".format(e.best_solution))', '... print("Achieved accuracy:\\n{0}".format(e.accuracy))', 'Indices of diverging points: [1]', 'Indices of poorly converging points: None', 'Best solution:', '[[ 1.00000238e+00 9.99999965e-01]', ' [ -1.99441636e+06 1.44309097e+06]', ' [ 3.00000236e+00 9.99999966e-01]]', 'Achieved accuracy:', '[[ 6.13968380e-05 8.59638593e-07]', ' [ 8.59526812e+11 6.61713548e+11]', ' [ 6.09398446e-05 8.38759724e-07]]', '>>> raise e', 'Traceback (most recent call last):', '...', "NoConvergence: 'WCS.all_world2pix' failed to converge to the", 'requested accuracy. After 5 iterations, the solution is', 'diverging at least for one input point.', '', '>>> # This time turn detect_divergence off:', '>>> try: # doctest: +FLOAT_CMP', '... xy = w.all_world2pix(divradec, 1, maxiter=20,', '... tolerance=1.0e-4, adaptive=False,', '... detect_divergence=False,', '... quiet=False)', '... except wcs.wcs.NoConvergence as e:', '... print("Indices of diverging points: {0}"', '... .format(e.divergent))', '... print("Indices of poorly converging points: {0}"', '... .format(e.slow_conv))', '... print("Best solution:\\n{0}".format(e.best_solution))', '... print("Achieved accuracy:\\n{0}".format(e.accuracy))', 'Indices of diverging points: [1]', 'Indices of poorly converging points: None', 'Best solution:', '[[ 1.00000009 1. ]', ' [ nan nan]', ' [ 3.00000009 1. ]]', 'Achieved accuracy:', '[[ 2.29417358e-06 3.21222995e-08]', ' [ nan nan]', ' [ 2.27407877e-06 3.13005639e-08]]', '>>> raise e', 'Traceback (most recent call last):', '...', "NoConvergence: 'WCS.all_world2pix' failed to converge to the", 'requested accuracy. After 6 iterations, the solution is', 'diverging at least for one input point.']:135: WARNING: py:obj reference target not found: True ['WCS.all_world2pix(*arg, accuracy=1.0e-4, maxiter=20, adaptive=False, detect_divergence=True, quiet=False)', ':module: astropy.wcs', '', '', '', 'Transforms world coordinates to pixel coordinates, using', 'numerical iteration to invert the full forward transformation', '`~astropy.wcs.WCS.all_pix2world` with complete', 'distortion model.', '', '', ':Parameters:', '', ' **args** : flexible', '', ' There are two accepted forms for the positional arguments:', ' ', ' - 2 arguments: An *N* x *naxis* array of coordinates, and an', ' *origin*.', ' ', ' - more than 2 arguments: An array for each axis, followed by', ' an *origin*. These arrays must be broadcastable to one', ' another.', ' ', ' Here, *origin* is the coordinate in the upper left corner of the', ' image. In FITS and Fortran standards, this is 1. In Numpy and C', ' standards this is 0.', ' ', ' For a transformation that is not two-dimensional, the', ' two-argument form must be used.', ' ', '', ' **ra_dec_order** : bool, optional', '', ' When `True` will ensure that world coordinates are always given', ' and returned in as (*ra*, *dec*) pairs, regardless of the order of', ' the axes specified by the in the ``CTYPE`` keywords. Default is', ' `False`.', ' ', '', ' **tolerance** : float, optional (Default = 1.0e-4)', '', ' Tolerance of solution. Iteration terminates when the', ' iterative solver estimates that the "true solution" is', ' within this many pixels current estimate, more', ' specifically, when the correction to the solution found', ' during the previous iteration is smaller', ' (in the sense of the L2 norm) than ``tolerance``.', ' ', '', ' **maxiter** : int, optional (Default = 20)', '', ' Maximum number of iterations allowed to reach a solution.', ' ', '', ' **quiet** : bool, optional (Default = False)', '', ' Do not throw :py:class:`NoConvergence` exceptions when', ' the method does not converge to a solution with the', ' required accuracy within a specified number of maximum', ' iterations set by ``maxiter`` parameter. Instead,', ' simply return the found solution.', '', ':Returns:', '', ' **result** : array', '', ' Returns the pixel coordinates. If the input was a single array and', ' origin, a single array is returned, otherwise a tuple of arrays is', ' returned.', '', ':Other Parameters:', '', ' **adaptive** : bool, optional (Default = False)', '', ' Specifies whether to adaptively select only points that', ' did not converge to a solution within the required', ' accuracy for the next iteration. Default is recommended', ' for HST as well as most other instruments.', ' ', ' .. note::', ' The :py:meth:`all_world2pix` uses a vectorized', ' implementation of the method of consecutive', ' approximations (see ``Notes`` section below) in which it', ' iterates over *all* input points *regardless* until', ' the required accuracy has been reached for *all* input', ' points. In some cases it may be possible that', ' *almost all* points have reached the required accuracy', ' but there are only a few of input data points for', ' which additional iterations may be needed (this', ' depends mostly on the characteristics of the geometric', ' distortions for a given instrument). In this situation', ' it may be advantageous to set ``adaptive`` = `True` in', ' which case :py:meth:`all_world2pix` will continue', ' iterating *only* over the points that have not yet', ' converged to the required accuracy. However, for the', " HST's ACS/WFC detector, which has the strongest", ' distortions of all HST instruments, testing has', ' shown that enabling this option would lead to a about', ' 50-100% penalty in computational time (depending on', ' specifics of the image, geometric distortions, and', ' number of input points to be converted). Therefore,', ' for HST and possibly instruments, it is recommended', ' to set ``adaptive`` = `False`. The only danger in', ' getting this setting wrong will be a performance', ' penalty.', ' ', ' .. note::', ' When ``detect_divergence`` is `True`,', ' :py:meth:`all_world2pix` will automatically switch', ' to the adaptive algorithm once divergence has been', ' detected.', ' ', '', ' **detect_divergence** : bool, optional (Default = True)', '', ' Specifies whether to perform a more detailed analysis', ' of the convergence to a solution. Normally', ' :py:meth:`all_world2pix` may not achieve the required', ' accuracy if either the ``tolerance`` or ``maxiter`` arguments', ' are too low. However, it may happen that for some', ' geometric distortions the conditions of convergence for', ' the the method of consecutive approximations used by', ' :py:meth:`all_world2pix` may not be satisfied, in which', ' case consecutive approximations to the solution will', ' diverge regardless of the ``tolerance`` or ``maxiter``', ' settings.', ' ', ' When ``detect_divergence`` is `False`, these divergent', ' points will be detected as not having achieved the', ' required accuracy (without further details). In addition,', ' if ``adaptive`` is `False` then the algorithm will not', ' know that the solution (for specific points) is diverging', ' and will continue iterating and trying to "improve"', ' diverging solutions. This may result in ``NaN`` or', ' ``Inf`` values in the return results (in addition to a', ' performance penalties). Even when ``detect_divergence``', ' is `False`, :py:meth:`all_world2pix`, at the end of the', ' iterative process, will identify invalid results', ' (``NaN`` or ``Inf``) as "diverging" solutions and will', ' raise :py:class:`NoConvergence` unless the ``quiet``', ' parameter is set to `True`.', ' ', ' When ``detect_divergence`` is `True`,', ' :py:meth:`all_world2pix` will detect points for which', ' current correction to the coordinates is larger than', ' the correction applied during the previous iteration', ' **if** the requested accuracy **has not yet been', ' achieved**. In this case, if ``adaptive`` is `True`,', ' these points will be excluded from further iterations and', ' if ``adaptive`` is `False`, :py:meth:`all_world2pix` will', ' automatically switch to the adaptive algorithm. Thus, the', ' reported divergent solution will be the latest converging', ' solution computed immediately *before* divergence', ' has been detected.', ' ', ' .. note::', ' When accuracy has been achieved, small increases in', ' current corrections may be possible due to rounding', ' errors (when ``adaptive`` is `False`) and such', ' increases will be ignored.', ' ', ' .. note::', ' Based on our testing using HST ACS/WFC images, setting', ' ``detect_divergence`` to `True` will incur about 5-20%', ' performance penalty with the larger penalty', ' corresponding to ``adaptive`` set to `True`.', ' Because the benefits of enabling this', ' feature outweigh the small performance penalty,', ' especially when ``adaptive`` = `False`, it is', ' recommended to set ``detect_divergence`` to `True`,', ' unless extensive testing of the distortion models for', ' images from specific instruments show a good stability', ' of the numerical method for a wide range of', ' coordinates (even outside the image itself).', ' ', ' .. note::', ' Indices of the diverging inverse solutions will be', ' reported in the ``divergent`` attribute of the', ' raised :py:class:`NoConvergence` exception object.', '', ':Raises:', '', ' **NoConvergence**', '', ' The method did not converge to a', ' solution to the required accuracy within a specified', ' number of maximum iterations set by the ``maxiter``', ' parameter. To turn off this exception, set ``quiet`` to', ' `True`. Indices of the points for which the requested', ' accuracy was not achieved (if any) will be listed in the', ' ``slow_conv`` attribute of the', ' raised :py:class:`NoConvergence` exception object.', ' ', ' See :py:class:`NoConvergence` documentation for', ' more details.', ' ', '', ' **MemoryError**', '', ' Memory allocation failed.', ' ', '', ' **SingularMatrixError**', '', ' Linear transformation matrix is singular.', ' ', '', ' **InconsistentAxisTypesError**', '', ' Inconsistent or unrecognized coordinate axis types.', ' ', '', ' **ValueError**', '', ' Invalid parameter value.', ' ', '', ' **ValueError**', '', ' Invalid coordinate transformation parameters.', ' ', '', ' **ValueError**', '', ' x- and y-coordinate arrays are not the same size.', ' ', '', ' **InvalidTransformError**', '', ' Invalid coordinate transformation parameters.', ' ', '', ' **InvalidTransformError**', '', ' Ill-conditioned coordinate transformation parameters.', '', '.. rubric:: Notes', '', '', 'The order of the axes for the input world array is determined by', 'the ``CTYPEia`` keywords in the FITS header, therefore it may', 'not always be of the form (*ra*, *dec*). The', '`~astropy.wcs.Wcsprm.lat`, `~astropy.wcs.Wcsprm.lng`,', '`~astropy.wcs.Wcsprm.lattyp`, and', '`~astropy.wcs.Wcsprm.lngtyp`', 'members can be used to determine the order of the axes.', '', 'Using the method of fixed-point iterations approximations we', 'iterate starting with the initial approximation, which is', 'computed using the non-distortion-aware', ':py:meth:`wcs_world2pix` (or equivalent).', '', 'The :py:meth:`all_world2pix` function uses a vectorized', 'implementation of the method of consecutive approximations and', 'therefore it is highly efficient (>30x) when *all* data points', 'that need to be converted from sky coordinates to image', 'coordinates are passed at *once*. Therefore, it is advisable,', 'whenever possible, to pass as input a long array of all points', 'that need to be converted to :py:meth:`all_world2pix` instead', 'of calling :py:meth:`all_world2pix` for each data point. Also', 'see the note to the ``adaptive`` parameter.', '', '.. rubric:: Examples', '', '', '>>> import astropy.io.fits as fits', '>>> import astropy.wcs as wcs', '>>> import numpy as np', '>>> import os', '', ">>> filename = os.path.join(wcs.__path__[0], 'tests/data/j94f05bgq_flt.fits')", '>>> hdulist = fits.open(filename)', ">>> w = wcs.WCS(hdulist[('sci',1)].header, hdulist)", '>>> hdulist.close()', '', '>>> ra, dec = w.all_pix2world([1,2,3], [1,1,1], 1)', '>>> print(ra) # doctest: +FLOAT_CMP', '[ 5.52645627 5.52649663 5.52653698]', '>>> print(dec) # doctest: +FLOAT_CMP', '[-72.05171757 -72.05171276 -72.05170795]', '>>> radec = w.all_pix2world([[1,1], [2,1], [3,1]], 1)', '>>> print(radec) # doctest: +FLOAT_CMP', '[[ 5.52645627 -72.05171757]', ' [ 5.52649663 -72.05171276]', ' [ 5.52653698 -72.05170795]]', '>>> x, y = w.all_world2pix(ra, dec, 1)', '>>> print(x) # doctest: +FLOAT_CMP', '[ 1.00000238 2.00000237 3.00000236]', '>>> print(y) # doctest: +FLOAT_CMP', '[ 0.99999996 0.99999997 0.99999997]', '>>> xy = w.all_world2pix(radec, 1)', '>>> print(xy) # doctest: +FLOAT_CMP', '[[ 1.00000238 0.99999996]', ' [ 2.00000237 0.99999997]', ' [ 3.00000236 0.99999997]]', '>>> xy = w.all_world2pix(radec, 1, maxiter=3,', '... tolerance=1.0e-10, quiet=False)', 'Traceback (most recent call last):', '...', "NoConvergence: 'WCS.all_world2pix' failed to converge to the", 'requested accuracy. After 3 iterations, the solution is', 'diverging at least for one input point.', '', '>>> # Now try to use some diverging data:', '>>> divradec = w.all_pix2world([[1.0, 1.0],', '... [10000.0, 50000.0],', '... [3.0, 1.0]], 1)', '>>> print(divradec) # doctest: +FLOAT_CMP', '[[ 5.52645627 -72.05171757]', ' [ 7.15976932 -70.8140779 ]', ' [ 5.52653698 -72.05170795]]', '', '>>> # First, turn detect_divergence on:', '>>> try: # doctest: +FLOAT_CMP', '... xy = w.all_world2pix(divradec, 1, maxiter=20,', '... tolerance=1.0e-4, adaptive=False,', '... detect_divergence=True,', '... quiet=False)', '... except wcs.wcs.NoConvergence as e:', '... print("Indices of diverging points: {0}"', '... .format(e.divergent))', '... print("Indices of poorly converging points: {0}"', '... .format(e.slow_conv))', '... print("Best solution:\\n{0}".format(e.best_solution))', '... print("Achieved accuracy:\\n{0}".format(e.accuracy))', 'Indices of diverging points: [1]', 'Indices of poorly converging points: None', 'Best solution:', '[[ 1.00000238e+00 9.99999965e-01]', ' [ -1.99441636e+06 1.44309097e+06]', ' [ 3.00000236e+00 9.99999966e-01]]', 'Achieved accuracy:', '[[ 6.13968380e-05 8.59638593e-07]', ' [ 8.59526812e+11 6.61713548e+11]', ' [ 6.09398446e-05 8.38759724e-07]]', '>>> raise e', 'Traceback (most recent call last):', '...', "NoConvergence: 'WCS.all_world2pix' failed to converge to the", 'requested accuracy. After 5 iterations, the solution is', 'diverging at least for one input point.', '', '>>> # This time turn detect_divergence off:', '>>> try: # doctest: +FLOAT_CMP', '... xy = w.all_world2pix(divradec, 1, maxiter=20,', '... tolerance=1.0e-4, adaptive=False,', '... detect_divergence=False,', '... quiet=False)', '... except wcs.wcs.NoConvergence as e:', '... print("Indices of diverging points: {0}"', '... .format(e.divergent))', '... print("Indices of poorly converging points: {0}"', '... .format(e.slow_conv))', '... print("Best solution:\\n{0}".format(e.best_solution))', '... print("Achieved accuracy:\\n{0}".format(e.accuracy))', 'Indices of diverging points: [1]', 'Indices of poorly converging points: None', 'Best solution:', '[[ 1.00000009 1. ]', ' [ nan nan]', ' [ 3.00000009 1. ]]', 'Achieved accuracy:', '[[ 2.29417358e-06 3.21222995e-08]', ' [ nan nan]', ' [ 2.27407877e-06 3.13005639e-08]]', '>>> raise e', 'Traceback (most recent call last):', '...', "NoConvergence: 'WCS.all_world2pix' failed to converge to the", 'requested accuracy. After 6 iterations, the solution is', 'diverging at least for one input point.']:135: WARNING: py:obj reference target not found: True ['WCS.all_world2pix(*arg, accuracy=1.0e-4, maxiter=20, adaptive=False, detect_divergence=True, quiet=False)', ':module: astropy.wcs', '', '', '', 'Transforms world coordinates to pixel coordinates, using', 'numerical iteration to invert the full forward transformation', '`~astropy.wcs.WCS.all_pix2world` with complete', 'distortion model.', '', '', ':Parameters:', '', ' **args** : flexible', '', ' There are two accepted forms for the positional arguments:', ' ', ' - 2 arguments: An *N* x *naxis* array of coordinates, and an', ' *origin*.', ' ', ' - more than 2 arguments: An array for each axis, followed by', ' an *origin*. These arrays must be broadcastable to one', ' another.', ' ', ' Here, *origin* is the coordinate in the upper left corner of the', ' image. In FITS and Fortran standards, this is 1. In Numpy and C', ' standards this is 0.', ' ', ' For a transformation that is not two-dimensional, the', ' two-argument form must be used.', ' ', '', ' **ra_dec_order** : bool, optional', '', ' When `True` will ensure that world coordinates are always given', ' and returned in as (*ra*, *dec*) pairs, regardless of the order of', ' the axes specified by the in the ``CTYPE`` keywords. Default is', ' `False`.', ' ', '', ' **tolerance** : float, optional (Default = 1.0e-4)', '', ' Tolerance of solution. Iteration terminates when the', ' iterative solver estimates that the "true solution" is', ' within this many pixels current estimate, more', ' specifically, when the correction to the solution found', ' during the previous iteration is smaller', ' (in the sense of the L2 norm) than ``tolerance``.', ' ', '', ' **maxiter** : int, optional (Default = 20)', '', ' Maximum number of iterations allowed to reach a solution.', ' ', '', ' **quiet** : bool, optional (Default = False)', '', ' Do not throw :py:class:`NoConvergence` exceptions when', ' the method does not converge to a solution with the', ' required accuracy within a specified number of maximum', ' iterations set by ``maxiter`` parameter. Instead,', ' simply return the found solution.', '', ':Returns:', '', ' **result** : array', '', ' Returns the pixel coordinates. If the input was a single array and', ' origin, a single array is returned, otherwise a tuple of arrays is', ' returned.', '', ':Other Parameters:', '', ' **adaptive** : bool, optional (Default = False)', '', ' Specifies whether to adaptively select only points that', ' did not converge to a solution within the required', ' accuracy for the next iteration. Default is recommended', ' for HST as well as most other instruments.', ' ', ' .. note::', ' The :py:meth:`all_world2pix` uses a vectorized', ' implementation of the method of consecutive', ' approximations (see ``Notes`` section below) in which it', ' iterates over *all* input points *regardless* until', ' the required accuracy has been reached for *all* input', ' points. In some cases it may be possible that', ' *almost all* points have reached the required accuracy', ' but there are only a few of input data points for', ' which additional iterations may be needed (this', ' depends mostly on the characteristics of the geometric', ' distortions for a given instrument). In this situation', ' it may be advantageous to set ``adaptive`` = `True` in', ' which case :py:meth:`all_world2pix` will continue', ' iterating *only* over the points that have not yet', ' converged to the required accuracy. However, for the', " HST's ACS/WFC detector, which has the strongest", ' distortions of all HST instruments, testing has', ' shown that enabling this option would lead to a about', ' 50-100% penalty in computational time (depending on', ' specifics of the image, geometric distortions, and', ' number of input points to be converted). Therefore,', ' for HST and possibly instruments, it is recommended', ' to set ``adaptive`` = `False`. The only danger in', ' getting this setting wrong will be a performance', ' penalty.', ' ', ' .. note::', ' When ``detect_divergence`` is `True`,', ' :py:meth:`all_world2pix` will automatically switch', ' to the adaptive algorithm once divergence has been', ' detected.', ' ', '', ' **detect_divergence** : bool, optional (Default = True)', '', ' Specifies whether to perform a more detailed analysis', ' of the convergence to a solution. Normally', ' :py:meth:`all_world2pix` may not achieve the required', ' accuracy if either the ``tolerance`` or ``maxiter`` arguments', ' are too low. However, it may happen that for some', ' geometric distortions the conditions of convergence for', ' the the method of consecutive approximations used by', ' :py:meth:`all_world2pix` may not be satisfied, in which', ' case consecutive approximations to the solution will', ' diverge regardless of the ``tolerance`` or ``maxiter``', ' settings.', ' ', ' When ``detect_divergence`` is `False`, these divergent', ' points will be detected as not having achieved the', ' required accuracy (without further details). In addition,', ' if ``adaptive`` is `False` then the algorithm will not', ' know that the solution (for specific points) is diverging', ' and will continue iterating and trying to "improve"', ' diverging solutions. This may result in ``NaN`` or', ' ``Inf`` values in the return results (in addition to a', ' performance penalties). Even when ``detect_divergence``', ' is `False`, :py:meth:`all_world2pix`, at the end of the', ' iterative process, will identify invalid results', ' (``NaN`` or ``Inf``) as "diverging" solutions and will', ' raise :py:class:`NoConvergence` unless the ``quiet``', ' parameter is set to `True`.', ' ', ' When ``detect_divergence`` is `True`,', ' :py:meth:`all_world2pix` will detect points for which', ' current correction to the coordinates is larger than', ' the correction applied during the previous iteration', ' **if** the requested accuracy **has not yet been', ' achieved**. In this case, if ``adaptive`` is `True`,', ' these points will be excluded from further iterations and', ' if ``adaptive`` is `False`, :py:meth:`all_world2pix` will', ' automatically switch to the adaptive algorithm. Thus, the', ' reported divergent solution will be the latest converging', ' solution computed immediately *before* divergence', ' has been detected.', ' ', ' .. note::', ' When accuracy has been achieved, small increases in', ' current corrections may be possible due to rounding', ' errors (when ``adaptive`` is `False`) and such', ' increases will be ignored.', ' ', ' .. note::', ' Based on our testing using HST ACS/WFC images, setting', ' ``detect_divergence`` to `True` will incur about 5-20%', ' performance penalty with the larger penalty', ' corresponding to ``adaptive`` set to `True`.', ' Because the benefits of enabling this', ' feature outweigh the small performance penalty,', ' especially when ``adaptive`` = `False`, it is', ' recommended to set ``detect_divergence`` to `True`,', ' unless extensive testing of the distortion models for', ' images from specific instruments show a good stability', ' of the numerical method for a wide range of', ' coordinates (even outside the image itself).', ' ', ' .. note::', ' Indices of the diverging inverse solutions will be', ' reported in the ``divergent`` attribute of the', ' raised :py:class:`NoConvergence` exception object.', '', ':Raises:', '', ' **NoConvergence**', '', ' The method did not converge to a', ' solution to the required accuracy within a specified', ' number of maximum iterations set by the ``maxiter``', ' parameter. To turn off this exception, set ``quiet`` to', ' `True`. Indices of the points for which the requested', ' accuracy was not achieved (if any) will be listed in the', ' ``slow_conv`` attribute of the', ' raised :py:class:`NoConvergence` exception object.', ' ', ' See :py:class:`NoConvergence` documentation for', ' more details.', ' ', '', ' **MemoryError**', '', ' Memory allocation failed.', ' ', '', ' **SingularMatrixError**', '', ' Linear transformation matrix is singular.', ' ', '', ' **InconsistentAxisTypesError**', '', ' Inconsistent or unrecognized coordinate axis types.', ' ', '', ' **ValueError**', '', ' Invalid parameter value.', ' ', '', ' **ValueError**', '', ' Invalid coordinate transformation parameters.', ' ', '', ' **ValueError**', '', ' x- and y-coordinate arrays are not the same size.', ' ', '', ' **InvalidTransformError**', '', ' Invalid coordinate transformation parameters.', ' ', '', ' **InvalidTransformError**', '', ' Ill-conditioned coordinate transformation parameters.', '', '.. rubric:: Notes', '', '', 'The order of the axes for the input world array is determined by', 'the ``CTYPEia`` keywords in the FITS header, therefore it may', 'not always be of the form (*ra*, *dec*). The', '`~astropy.wcs.Wcsprm.lat`, `~astropy.wcs.Wcsprm.lng`,', '`~astropy.wcs.Wcsprm.lattyp`, and', '`~astropy.wcs.Wcsprm.lngtyp`', 'members can be used to determine the order of the axes.', '', 'Using the method of fixed-point iterations approximations we', 'iterate starting with the initial approximation, which is', 'computed using the non-distortion-aware', ':py:meth:`wcs_world2pix` (or equivalent).', '', 'The :py:meth:`all_world2pix` function uses a vectorized', 'implementation of the method of consecutive approximations and', 'therefore it is highly efficient (>30x) when *all* data points', 'that need to be converted from sky coordinates to image', 'coordinates are passed at *once*. Therefore, it is advisable,', 'whenever possible, to pass as input a long array of all points', 'that need to be converted to :py:meth:`all_world2pix` instead', 'of calling :py:meth:`all_world2pix` for each data point. Also', 'see the note to the ``adaptive`` parameter.', '', '.. rubric:: Examples', '', '', '>>> import astropy.io.fits as fits', '>>> import astropy.wcs as wcs', '>>> import numpy as np', '>>> import os', '', ">>> filename = os.path.join(wcs.__path__[0], 'tests/data/j94f05bgq_flt.fits')", '>>> hdulist = fits.open(filename)', ">>> w = wcs.WCS(hdulist[('sci',1)].header, hdulist)", '>>> hdulist.close()', '', '>>> ra, dec = w.all_pix2world([1,2,3], [1,1,1], 1)', '>>> print(ra) # doctest: +FLOAT_CMP', '[ 5.52645627 5.52649663 5.52653698]', '>>> print(dec) # doctest: +FLOAT_CMP', '[-72.05171757 -72.05171276 -72.05170795]', '>>> radec = w.all_pix2world([[1,1], [2,1], [3,1]], 1)', '>>> print(radec) # doctest: +FLOAT_CMP', '[[ 5.52645627 -72.05171757]', ' [ 5.52649663 -72.05171276]', ' [ 5.52653698 -72.05170795]]', '>>> x, y = w.all_world2pix(ra, dec, 1)', '>>> print(x) # doctest: +FLOAT_CMP', '[ 1.00000238 2.00000237 3.00000236]', '>>> print(y) # doctest: +FLOAT_CMP', '[ 0.99999996 0.99999997 0.99999997]', '>>> xy = w.all_world2pix(radec, 1)', '>>> print(xy) # doctest: +FLOAT_CMP', '[[ 1.00000238 0.99999996]', ' [ 2.00000237 0.99999997]', ' [ 3.00000236 0.99999997]]', '>>> xy = w.all_world2pix(radec, 1, maxiter=3,', '... tolerance=1.0e-10, quiet=False)', 'Traceback (most recent call last):', '...', "NoConvergence: 'WCS.all_world2pix' failed to converge to the", 'requested accuracy. After 3 iterations, the solution is', 'diverging at least for one input point.', '', '>>> # Now try to use some diverging data:', '>>> divradec = w.all_pix2world([[1.0, 1.0],', '... [10000.0, 50000.0],', '... [3.0, 1.0]], 1)', '>>> print(divradec) # doctest: +FLOAT_CMP', '[[ 5.52645627 -72.05171757]', ' [ 7.15976932 -70.8140779 ]', ' [ 5.52653698 -72.05170795]]', '', '>>> # First, turn detect_divergence on:', '>>> try: # doctest: +FLOAT_CMP', '... xy = w.all_world2pix(divradec, 1, maxiter=20,', '... tolerance=1.0e-4, adaptive=False,', '... detect_divergence=True,', '... quiet=False)', '... except wcs.wcs.NoConvergence as e:', '... print("Indices of diverging points: {0}"', '... .format(e.divergent))', '... print("Indices of poorly converging points: {0}"', '... .format(e.slow_conv))', '... print("Best solution:\\n{0}".format(e.best_solution))', '... print("Achieved accuracy:\\n{0}".format(e.accuracy))', 'Indices of diverging points: [1]', 'Indices of poorly converging points: None', 'Best solution:', '[[ 1.00000238e+00 9.99999965e-01]', ' [ -1.99441636e+06 1.44309097e+06]', ' [ 3.00000236e+00 9.99999966e-01]]', 'Achieved accuracy:', '[[ 6.13968380e-05 8.59638593e-07]', ' [ 8.59526812e+11 6.61713548e+11]', ' [ 6.09398446e-05 8.38759724e-07]]', '>>> raise e', 'Traceback (most recent call last):', '...', "NoConvergence: 'WCS.all_world2pix' failed to converge to the", 'requested accuracy. After 5 iterations, the solution is', 'diverging at least for one input point.', '', '>>> # This time turn detect_divergence off:', '>>> try: # doctest: +FLOAT_CMP', '... xy = w.all_world2pix(divradec, 1, maxiter=20,', '... tolerance=1.0e-4, adaptive=False,', '... detect_divergence=False,', '... quiet=False)', '... except wcs.wcs.NoConvergence as e:', '... print("Indices of diverging points: {0}"', '... .format(e.divergent))', '... print("Indices of poorly converging points: {0}"', '... .format(e.slow_conv))', '... print("Best solution:\\n{0}".format(e.best_solution))', '... print("Achieved accuracy:\\n{0}".format(e.accuracy))', 'Indices of diverging points: [1]', 'Indices of poorly converging points: None', 'Best solution:', '[[ 1.00000009 1. ]', ' [ nan nan]', ' [ 3.00000009 1. ]]', 'Achieved accuracy:', '[[ 2.29417358e-06 3.21222995e-08]', ' [ nan nan]', ' [ 2.27407877e-06 3.13005639e-08]]', '>>> raise e', 'Traceback (most recent call last):', '...', "NoConvergence: 'WCS.all_world2pix' failed to converge to the", 'requested accuracy. After 6 iterations, the solution is', 'diverging at least for one input point.']:135: WARNING: py:obj reference target not found: False ['WCS.all_world2pix(*arg, accuracy=1.0e-4, maxiter=20, adaptive=False, detect_divergence=True, quiet=False)', ':module: astropy.wcs', '', '', '', 'Transforms world coordinates to pixel coordinates, using', 'numerical iteration to invert the full forward transformation', '`~astropy.wcs.WCS.all_pix2world` with complete', 'distortion model.', '', '', ':Parameters:', '', ' **args** : flexible', '', ' There are two accepted forms for the positional arguments:', ' ', ' - 2 arguments: An *N* x *naxis* array of coordinates, and an', ' *origin*.', ' ', ' - more than 2 arguments: An array for each axis, followed by', ' an *origin*. These arrays must be broadcastable to one', ' another.', ' ', ' Here, *origin* is the coordinate in the upper left corner of the', ' image. In FITS and Fortran standards, this is 1. In Numpy and C', ' standards this is 0.', ' ', ' For a transformation that is not two-dimensional, the', ' two-argument form must be used.', ' ', '', ' **ra_dec_order** : bool, optional', '', ' When `True` will ensure that world coordinates are always given', ' and returned in as (*ra*, *dec*) pairs, regardless of the order of', ' the axes specified by the in the ``CTYPE`` keywords. Default is', ' `False`.', ' ', '', ' **tolerance** : float, optional (Default = 1.0e-4)', '', ' Tolerance of solution. Iteration terminates when the', ' iterative solver estimates that the "true solution" is', ' within this many pixels current estimate, more', ' specifically, when the correction to the solution found', ' during the previous iteration is smaller', ' (in the sense of the L2 norm) than ``tolerance``.', ' ', '', ' **maxiter** : int, optional (Default = 20)', '', ' Maximum number of iterations allowed to reach a solution.', ' ', '', ' **quiet** : bool, optional (Default = False)', '', ' Do not throw :py:class:`NoConvergence` exceptions when', ' the method does not converge to a solution with the', ' required accuracy within a specified number of maximum', ' iterations set by ``maxiter`` parameter. Instead,', ' simply return the found solution.', '', ':Returns:', '', ' **result** : array', '', ' Returns the pixel coordinates. If the input was a single array and', ' origin, a single array is returned, otherwise a tuple of arrays is', ' returned.', '', ':Other Parameters:', '', ' **adaptive** : bool, optional (Default = False)', '', ' Specifies whether to adaptively select only points that', ' did not converge to a solution within the required', ' accuracy for the next iteration. Default is recommended', ' for HST as well as most other instruments.', ' ', ' .. note::', ' The :py:meth:`all_world2pix` uses a vectorized', ' implementation of the method of consecutive', ' approximations (see ``Notes`` section below) in which it', ' iterates over *all* input points *regardless* until', ' the required accuracy has been reached for *all* input', ' points. In some cases it may be possible that', ' *almost all* points have reached the required accuracy', ' but there are only a few of input data points for', ' which additional iterations may be needed (this', ' depends mostly on the characteristics of the geometric', ' distortions for a given instrument). In this situation', ' it may be advantageous to set ``adaptive`` = `True` in', ' which case :py:meth:`all_world2pix` will continue', ' iterating *only* over the points that have not yet', ' converged to the required accuracy. However, for the', " HST's ACS/WFC detector, which has the strongest", ' distortions of all HST instruments, testing has', ' shown that enabling this option would lead to a about', ' 50-100% penalty in computational time (depending on', ' specifics of the image, geometric distortions, and', ' number of input points to be converted). Therefore,', ' for HST and possibly instruments, it is recommended', ' to set ``adaptive`` = `False`. The only danger in', ' getting this setting wrong will be a performance', ' penalty.', ' ', ' .. note::', ' When ``detect_divergence`` is `True`,', ' :py:meth:`all_world2pix` will automatically switch', ' to the adaptive algorithm once divergence has been', ' detected.', ' ', '', ' **detect_divergence** : bool, optional (Default = True)', '', ' Specifies whether to perform a more detailed analysis', ' of the convergence to a solution. Normally', ' :py:meth:`all_world2pix` may not achieve the required', ' accuracy if either the ``tolerance`` or ``maxiter`` arguments', ' are too low. However, it may happen that for some', ' geometric distortions the conditions of convergence for', ' the the method of consecutive approximations used by', ' :py:meth:`all_world2pix` may not be satisfied, in which', ' case consecutive approximations to the solution will', ' diverge regardless of the ``tolerance`` or ``maxiter``', ' settings.', ' ', ' When ``detect_divergence`` is `False`, these divergent', ' points will be detected as not having achieved the', ' required accuracy (without further details). In addition,', ' if ``adaptive`` is `False` then the algorithm will not', ' know that the solution (for specific points) is diverging', ' and will continue iterating and trying to "improve"', ' diverging solutions. This may result in ``NaN`` or', ' ``Inf`` values in the return results (in addition to a', ' performance penalties). Even when ``detect_divergence``', ' is `False`, :py:meth:`all_world2pix`, at the end of the', ' iterative process, will identify invalid results', ' (``NaN`` or ``Inf``) as "diverging" solutions and will', ' raise :py:class:`NoConvergence` unless the ``quiet``', ' parameter is set to `True`.', ' ', ' When ``detect_divergence`` is `True`,', ' :py:meth:`all_world2pix` will detect points for which', ' current correction to the coordinates is larger than', ' the correction applied during the previous iteration', ' **if** the requested accuracy **has not yet been', ' achieved**. In this case, if ``adaptive`` is `True`,', ' these points will be excluded from further iterations and', ' if ``adaptive`` is `False`, :py:meth:`all_world2pix` will', ' automatically switch to the adaptive algorithm. Thus, the', ' reported divergent solution will be the latest converging', ' solution computed immediately *before* divergence', ' has been detected.', ' ', ' .. note::', ' When accuracy has been achieved, small increases in', ' current corrections may be possible due to rounding', ' errors (when ``adaptive`` is `False`) and such', ' increases will be ignored.', ' ', ' .. note::', ' Based on our testing using HST ACS/WFC images, setting', ' ``detect_divergence`` to `True` will incur about 5-20%', ' performance penalty with the larger penalty', ' corresponding to ``adaptive`` set to `True`.', ' Because the benefits of enabling this', ' feature outweigh the small performance penalty,', ' especially when ``adaptive`` = `False`, it is', ' recommended to set ``detect_divergence`` to `True`,', ' unless extensive testing of the distortion models for', ' images from specific instruments show a good stability', ' of the numerical method for a wide range of', ' coordinates (even outside the image itself).', ' ', ' .. note::', ' Indices of the diverging inverse solutions will be', ' reported in the ``divergent`` attribute of the', ' raised :py:class:`NoConvergence` exception object.', '', ':Raises:', '', ' **NoConvergence**', '', ' The method did not converge to a', ' solution to the required accuracy within a specified', ' number of maximum iterations set by the ``maxiter``', ' parameter. To turn off this exception, set ``quiet`` to', ' `True`. Indices of the points for which the requested', ' accuracy was not achieved (if any) will be listed in the', ' ``slow_conv`` attribute of the', ' raised :py:class:`NoConvergence` exception object.', ' ', ' See :py:class:`NoConvergence` documentation for', ' more details.', ' ', '', ' **MemoryError**', '', ' Memory allocation failed.', ' ', '', ' **SingularMatrixError**', '', ' Linear transformation matrix is singular.', ' ', '', ' **InconsistentAxisTypesError**', '', ' Inconsistent or unrecognized coordinate axis types.', ' ', '', ' **ValueError**', '', ' Invalid parameter value.', ' ', '', ' **ValueError**', '', ' Invalid coordinate transformation parameters.', ' ', '', ' **ValueError**', '', ' x- and y-coordinate arrays are not the same size.', ' ', '', ' **InvalidTransformError**', '', ' Invalid coordinate transformation parameters.', ' ', '', ' **InvalidTransformError**', '', ' Ill-conditioned coordinate transformation parameters.', '', '.. rubric:: Notes', '', '', 'The order of the axes for the input world array is determined by', 'the ``CTYPEia`` keywords in the FITS header, therefore it may', 'not always be of the form (*ra*, *dec*). The', '`~astropy.wcs.Wcsprm.lat`, `~astropy.wcs.Wcsprm.lng`,', '`~astropy.wcs.Wcsprm.lattyp`, and', '`~astropy.wcs.Wcsprm.lngtyp`', 'members can be used to determine the order of the axes.', '', 'Using the method of fixed-point iterations approximations we', 'iterate starting with the initial approximation, which is', 'computed using the non-distortion-aware', ':py:meth:`wcs_world2pix` (or equivalent).', '', 'The :py:meth:`all_world2pix` function uses a vectorized', 'implementation of the method of consecutive approximations and', 'therefore it is highly efficient (>30x) when *all* data points', 'that need to be converted from sky coordinates to image', 'coordinates are passed at *once*. Therefore, it is advisable,', 'whenever possible, to pass as input a long array of all points', 'that need to be converted to :py:meth:`all_world2pix` instead', 'of calling :py:meth:`all_world2pix` for each data point. Also', 'see the note to the ``adaptive`` parameter.', '', '.. rubric:: Examples', '', '', '>>> import astropy.io.fits as fits', '>>> import astropy.wcs as wcs', '>>> import numpy as np', '>>> import os', '', ">>> filename = os.path.join(wcs.__path__[0], 'tests/data/j94f05bgq_flt.fits')", '>>> hdulist = fits.open(filename)', ">>> w = wcs.WCS(hdulist[('sci',1)].header, hdulist)", '>>> hdulist.close()', '', '>>> ra, dec = w.all_pix2world([1,2,3], [1,1,1], 1)', '>>> print(ra) # doctest: +FLOAT_CMP', '[ 5.52645627 5.52649663 5.52653698]', '>>> print(dec) # doctest: +FLOAT_CMP', '[-72.05171757 -72.05171276 -72.05170795]', '>>> radec = w.all_pix2world([[1,1], [2,1], [3,1]], 1)', '>>> print(radec) # doctest: +FLOAT_CMP', '[[ 5.52645627 -72.05171757]', ' [ 5.52649663 -72.05171276]', ' [ 5.52653698 -72.05170795]]', '>>> x, y = w.all_world2pix(ra, dec, 1)', '>>> print(x) # doctest: +FLOAT_CMP', '[ 1.00000238 2.00000237 3.00000236]', '>>> print(y) # doctest: +FLOAT_CMP', '[ 0.99999996 0.99999997 0.99999997]', '>>> xy = w.all_world2pix(radec, 1)', '>>> print(xy) # doctest: +FLOAT_CMP', '[[ 1.00000238 0.99999996]', ' [ 2.00000237 0.99999997]', ' [ 3.00000236 0.99999997]]', '>>> xy = w.all_world2pix(radec, 1, maxiter=3,', '... tolerance=1.0e-10, quiet=False)', 'Traceback (most recent call last):', '...', "NoConvergence: 'WCS.all_world2pix' failed to converge to the", 'requested accuracy. After 3 iterations, the solution is', 'diverging at least for one input point.', '', '>>> # Now try to use some diverging data:', '>>> divradec = w.all_pix2world([[1.0, 1.0],', '... [10000.0, 50000.0],', '... [3.0, 1.0]], 1)', '>>> print(divradec) # doctest: +FLOAT_CMP', '[[ 5.52645627 -72.05171757]', ' [ 7.15976932 -70.8140779 ]', ' [ 5.52653698 -72.05170795]]', '', '>>> # First, turn detect_divergence on:', '>>> try: # doctest: +FLOAT_CMP', '... xy = w.all_world2pix(divradec, 1, maxiter=20,', '... tolerance=1.0e-4, adaptive=False,', '... detect_divergence=True,', '... quiet=False)', '... except wcs.wcs.NoConvergence as e:', '... print("Indices of diverging points: {0}"', '... .format(e.divergent))', '... print("Indices of poorly converging points: {0}"', '... .format(e.slow_conv))', '... print("Best solution:\\n{0}".format(e.best_solution))', '... print("Achieved accuracy:\\n{0}".format(e.accuracy))', 'Indices of diverging points: [1]', 'Indices of poorly converging points: None', 'Best solution:', '[[ 1.00000238e+00 9.99999965e-01]', ' [ -1.99441636e+06 1.44309097e+06]', ' [ 3.00000236e+00 9.99999966e-01]]', 'Achieved accuracy:', '[[ 6.13968380e-05 8.59638593e-07]', ' [ 8.59526812e+11 6.61713548e+11]', ' [ 6.09398446e-05 8.38759724e-07]]', '>>> raise e', 'Traceback (most recent call last):', '...', "NoConvergence: 'WCS.all_world2pix' failed to converge to the", 'requested accuracy. After 5 iterations, the solution is', 'diverging at least for one input point.', '', '>>> # This time turn detect_divergence off:', '>>> try: # doctest: +FLOAT_CMP', '... xy = w.all_world2pix(divradec, 1, maxiter=20,', '... tolerance=1.0e-4, adaptive=False,', '... detect_divergence=False,', '... quiet=False)', '... except wcs.wcs.NoConvergence as e:', '... print("Indices of diverging points: {0}"', '... .format(e.divergent))', '... print("Indices of poorly converging points: {0}"', '... .format(e.slow_conv))', '... print("Best solution:\\n{0}".format(e.best_solution))', '... print("Achieved accuracy:\\n{0}".format(e.accuracy))', 'Indices of diverging points: [1]', 'Indices of poorly converging points: None', 'Best solution:', '[[ 1.00000009 1. ]', ' [ nan nan]', ' [ 3.00000009 1. ]]', 'Achieved accuracy:', '[[ 2.29417358e-06 3.21222995e-08]', ' [ nan nan]', ' [ 2.27407877e-06 3.13005639e-08]]', '>>> raise e', 'Traceback (most recent call last):', '...', "NoConvergence: 'WCS.all_world2pix' failed to converge to the", 'requested accuracy. After 6 iterations, the solution is', 'diverging at least for one input point.']:149: WARNING: py:obj reference target not found: False ['WCS.all_world2pix(*arg, accuracy=1.0e-4, maxiter=20, adaptive=False, detect_divergence=True, quiet=False)', ':module: astropy.wcs', '', '', '', 'Transforms world coordinates to pixel coordinates, using', 'numerical iteration to invert the full forward transformation', '`~astropy.wcs.WCS.all_pix2world` with complete', 'distortion model.', '', '', ':Parameters:', '', ' **args** : flexible', '', ' There are two accepted forms for the positional arguments:', ' ', ' - 2 arguments: An *N* x *naxis* array of coordinates, and an', ' *origin*.', ' ', ' - more than 2 arguments: An array for each axis, followed by', ' an *origin*. These arrays must be broadcastable to one', ' another.', ' ', ' Here, *origin* is the coordinate in the upper left corner of the', ' image. In FITS and Fortran standards, this is 1. In Numpy and C', ' standards this is 0.', ' ', ' For a transformation that is not two-dimensional, the', ' two-argument form must be used.', ' ', '', ' **ra_dec_order** : bool, optional', '', ' When `True` will ensure that world coordinates are always given', ' and returned in as (*ra*, *dec*) pairs, regardless of the order of', ' the axes specified by the in the ``CTYPE`` keywords. Default is', ' `False`.', ' ', '', ' **tolerance** : float, optional (Default = 1.0e-4)', '', ' Tolerance of solution. Iteration terminates when the', ' iterative solver estimates that the "true solution" is', ' within this many pixels current estimate, more', ' specifically, when the correction to the solution found', ' during the previous iteration is smaller', ' (in the sense of the L2 norm) than ``tolerance``.', ' ', '', ' **maxiter** : int, optional (Default = 20)', '', ' Maximum number of iterations allowed to reach a solution.', ' ', '', ' **quiet** : bool, optional (Default = False)', '', ' Do not throw :py:class:`NoConvergence` exceptions when', ' the method does not converge to a solution with the', ' required accuracy within a specified number of maximum', ' iterations set by ``maxiter`` parameter. Instead,', ' simply return the found solution.', '', ':Returns:', '', ' **result** : array', '', ' Returns the pixel coordinates. If the input was a single array and', ' origin, a single array is returned, otherwise a tuple of arrays is', ' returned.', '', ':Other Parameters:', '', ' **adaptive** : bool, optional (Default = False)', '', ' Specifies whether to adaptively select only points that', ' did not converge to a solution within the required', ' accuracy for the next iteration. Default is recommended', ' for HST as well as most other instruments.', ' ', ' .. note::', ' The :py:meth:`all_world2pix` uses a vectorized', ' implementation of the method of consecutive', ' approximations (see ``Notes`` section below) in which it', ' iterates over *all* input points *regardless* until', ' the required accuracy has been reached for *all* input', ' points. In some cases it may be possible that', ' *almost all* points have reached the required accuracy', ' but there are only a few of input data points for', ' which additional iterations may be needed (this', ' depends mostly on the characteristics of the geometric', ' distortions for a given instrument). In this situation', ' it may be advantageous to set ``adaptive`` = `True` in', ' which case :py:meth:`all_world2pix` will continue', ' iterating *only* over the points that have not yet', ' converged to the required accuracy. However, for the', " HST's ACS/WFC detector, which has the strongest", ' distortions of all HST instruments, testing has', ' shown that enabling this option would lead to a about', ' 50-100% penalty in computational time (depending on', ' specifics of the image, geometric distortions, and', ' number of input points to be converted). Therefore,', ' for HST and possibly instruments, it is recommended', ' to set ``adaptive`` = `False`. The only danger in', ' getting this setting wrong will be a performance', ' penalty.', ' ', ' .. note::', ' When ``detect_divergence`` is `True`,', ' :py:meth:`all_world2pix` will automatically switch', ' to the adaptive algorithm once divergence has been', ' detected.', ' ', '', ' **detect_divergence** : bool, optional (Default = True)', '', ' Specifies whether to perform a more detailed analysis', ' of the convergence to a solution. Normally', ' :py:meth:`all_world2pix` may not achieve the required', ' accuracy if either the ``tolerance`` or ``maxiter`` arguments', ' are too low. However, it may happen that for some', ' geometric distortions the conditions of convergence for', ' the the method of consecutive approximations used by', ' :py:meth:`all_world2pix` may not be satisfied, in which', ' case consecutive approximations to the solution will', ' diverge regardless of the ``tolerance`` or ``maxiter``', ' settings.', ' ', ' When ``detect_divergence`` is `False`, these divergent', ' points will be detected as not having achieved the', ' required accuracy (without further details). In addition,', ' if ``adaptive`` is `False` then the algorithm will not', ' know that the solution (for specific points) is diverging', ' and will continue iterating and trying to "improve"', ' diverging solutions. This may result in ``NaN`` or', ' ``Inf`` values in the return results (in addition to a', ' performance penalties). Even when ``detect_divergence``', ' is `False`, :py:meth:`all_world2pix`, at the end of the', ' iterative process, will identify invalid results', ' (``NaN`` or ``Inf``) as "diverging" solutions and will', ' raise :py:class:`NoConvergence` unless the ``quiet``', ' parameter is set to `True`.', ' ', ' When ``detect_divergence`` is `True`,', ' :py:meth:`all_world2pix` will detect points for which', ' current correction to the coordinates is larger than', ' the correction applied during the previous iteration', ' **if** the requested accuracy **has not yet been', ' achieved**. In this case, if ``adaptive`` is `True`,', ' these points will be excluded from further iterations and', ' if ``adaptive`` is `False`, :py:meth:`all_world2pix` will', ' automatically switch to the adaptive algorithm. Thus, the', ' reported divergent solution will be the latest converging', ' solution computed immediately *before* divergence', ' has been detected.', ' ', ' .. note::', ' When accuracy has been achieved, small increases in', ' current corrections may be possible due to rounding', ' errors (when ``adaptive`` is `False`) and such', ' increases will be ignored.', ' ', ' .. note::', ' Based on our testing using HST ACS/WFC images, setting', ' ``detect_divergence`` to `True` will incur about 5-20%', ' performance penalty with the larger penalty', ' corresponding to ``adaptive`` set to `True`.', ' Because the benefits of enabling this', ' feature outweigh the small performance penalty,', ' especially when ``adaptive`` = `False`, it is', ' recommended to set ``detect_divergence`` to `True`,', ' unless extensive testing of the distortion models for', ' images from specific instruments show a good stability', ' of the numerical method for a wide range of', ' coordinates (even outside the image itself).', ' ', ' .. note::', ' Indices of the diverging inverse solutions will be', ' reported in the ``divergent`` attribute of the', ' raised :py:class:`NoConvergence` exception object.', '', ':Raises:', '', ' **NoConvergence**', '', ' The method did not converge to a', ' solution to the required accuracy within a specified', ' number of maximum iterations set by the ``maxiter``', ' parameter. To turn off this exception, set ``quiet`` to', ' `True`. Indices of the points for which the requested', ' accuracy was not achieved (if any) will be listed in the', ' ``slow_conv`` attribute of the', ' raised :py:class:`NoConvergence` exception object.', ' ', ' See :py:class:`NoConvergence` documentation for', ' more details.', ' ', '', ' **MemoryError**', '', ' Memory allocation failed.', ' ', '', ' **SingularMatrixError**', '', ' Linear transformation matrix is singular.', ' ', '', ' **InconsistentAxisTypesError**', '', ' Inconsistent or unrecognized coordinate axis types.', ' ', '', ' **ValueError**', '', ' Invalid parameter value.', ' ', '', ' **ValueError**', '', ' Invalid coordinate transformation parameters.', ' ', '', ' **ValueError**', '', ' x- and y-coordinate arrays are not the same size.', ' ', '', ' **InvalidTransformError**', '', ' Invalid coordinate transformation parameters.', ' ', '', ' **InvalidTransformError**', '', ' Ill-conditioned coordinate transformation parameters.', '', '.. rubric:: Notes', '', '', 'The order of the axes for the input world array is determined by', 'the ``CTYPEia`` keywords in the FITS header, therefore it may', 'not always be of the form (*ra*, *dec*). The', '`~astropy.wcs.Wcsprm.lat`, `~astropy.wcs.Wcsprm.lng`,', '`~astropy.wcs.Wcsprm.lattyp`, and', '`~astropy.wcs.Wcsprm.lngtyp`', 'members can be used to determine the order of the axes.', '', 'Using the method of fixed-point iterations approximations we', 'iterate starting with the initial approximation, which is', 'computed using the non-distortion-aware', ':py:meth:`wcs_world2pix` (or equivalent).', '', 'The :py:meth:`all_world2pix` function uses a vectorized', 'implementation of the method of consecutive approximations and', 'therefore it is highly efficient (>30x) when *all* data points', 'that need to be converted from sky coordinates to image', 'coordinates are passed at *once*. Therefore, it is advisable,', 'whenever possible, to pass as input a long array of all points', 'that need to be converted to :py:meth:`all_world2pix` instead', 'of calling :py:meth:`all_world2pix` for each data point. Also', 'see the note to the ``adaptive`` parameter.', '', '.. rubric:: Examples', '', '', '>>> import astropy.io.fits as fits', '>>> import astropy.wcs as wcs', '>>> import numpy as np', '>>> import os', '', ">>> filename = os.path.join(wcs.__path__[0], 'tests/data/j94f05bgq_flt.fits')", '>>> hdulist = fits.open(filename)', ">>> w = wcs.WCS(hdulist[('sci',1)].header, hdulist)", '>>> hdulist.close()', '', '>>> ra, dec = w.all_pix2world([1,2,3], [1,1,1], 1)', '>>> print(ra) # doctest: +FLOAT_CMP', '[ 5.52645627 5.52649663 5.52653698]', '>>> print(dec) # doctest: +FLOAT_CMP', '[-72.05171757 -72.05171276 -72.05170795]', '>>> radec = w.all_pix2world([[1,1], [2,1], [3,1]], 1)', '>>> print(radec) # doctest: +FLOAT_CMP', '[[ 5.52645627 -72.05171757]', ' [ 5.52649663 -72.05171276]', ' [ 5.52653698 -72.05170795]]', '>>> x, y = w.all_world2pix(ra, dec, 1)', '>>> print(x) # doctest: +FLOAT_CMP', '[ 1.00000238 2.00000237 3.00000236]', '>>> print(y) # doctest: +FLOAT_CMP', '[ 0.99999996 0.99999997 0.99999997]', '>>> xy = w.all_world2pix(radec, 1)', '>>> print(xy) # doctest: +FLOAT_CMP', '[[ 1.00000238 0.99999996]', ' [ 2.00000237 0.99999997]', ' [ 3.00000236 0.99999997]]', '>>> xy = w.all_world2pix(radec, 1, maxiter=3,', '... tolerance=1.0e-10, quiet=False)', 'Traceback (most recent call last):', '...', "NoConvergence: 'WCS.all_world2pix' failed to converge to the", 'requested accuracy. After 3 iterations, the solution is', 'diverging at least for one input point.', '', '>>> # Now try to use some diverging data:', '>>> divradec = w.all_pix2world([[1.0, 1.0],', '... [10000.0, 50000.0],', '... [3.0, 1.0]], 1)', '>>> print(divradec) # doctest: +FLOAT_CMP', '[[ 5.52645627 -72.05171757]', ' [ 7.15976932 -70.8140779 ]', ' [ 5.52653698 -72.05170795]]', '', '>>> # First, turn detect_divergence on:', '>>> try: # doctest: +FLOAT_CMP', '... xy = w.all_world2pix(divradec, 1, maxiter=20,', '... tolerance=1.0e-4, adaptive=False,', '... detect_divergence=True,', '... quiet=False)', '... except wcs.wcs.NoConvergence as e:', '... print("Indices of diverging points: {0}"', '... .format(e.divergent))', '... print("Indices of poorly converging points: {0}"', '... .format(e.slow_conv))', '... print("Best solution:\\n{0}".format(e.best_solution))', '... print("Achieved accuracy:\\n{0}".format(e.accuracy))', 'Indices of diverging points: [1]', 'Indices of poorly converging points: None', 'Best solution:', '[[ 1.00000238e+00 9.99999965e-01]', ' [ -1.99441636e+06 1.44309097e+06]', ' [ 3.00000236e+00 9.99999966e-01]]', 'Achieved accuracy:', '[[ 6.13968380e-05 8.59638593e-07]', ' [ 8.59526812e+11 6.61713548e+11]', ' [ 6.09398446e-05 8.38759724e-07]]', '>>> raise e', 'Traceback (most recent call last):', '...', "NoConvergence: 'WCS.all_world2pix' failed to converge to the", 'requested accuracy. After 5 iterations, the solution is', 'diverging at least for one input point.', '', '>>> # This time turn detect_divergence off:', '>>> try: # doctest: +FLOAT_CMP', '... xy = w.all_world2pix(divradec, 1, maxiter=20,', '... tolerance=1.0e-4, adaptive=False,', '... detect_divergence=False,', '... quiet=False)', '... except wcs.wcs.NoConvergence as e:', '... print("Indices of diverging points: {0}"', '... .format(e.divergent))', '... print("Indices of poorly converging points: {0}"', '... .format(e.slow_conv))', '... print("Best solution:\\n{0}".format(e.best_solution))', '... print("Achieved accuracy:\\n{0}".format(e.accuracy))', 'Indices of diverging points: [1]', 'Indices of poorly converging points: None', 'Best solution:', '[[ 1.00000009 1. ]', ' [ nan nan]', ' [ 3.00000009 1. ]]', 'Achieved accuracy:', '[[ 2.29417358e-06 3.21222995e-08]', ' [ nan nan]', ' [ 2.27407877e-06 3.13005639e-08]]', '>>> raise e', 'Traceback (most recent call last):', '...', "NoConvergence: 'WCS.all_world2pix' failed to converge to the", 'requested accuracy. After 6 iterations, the solution is', 'diverging at least for one input point.']:155: WARNING: py:obj reference target not found: True ['WCS.all_world2pix(*arg, accuracy=1.0e-4, maxiter=20, adaptive=False, detect_divergence=True, quiet=False)', ':module: astropy.wcs', '', '', '', 'Transforms world coordinates to pixel coordinates, using', 'numerical iteration to invert the full forward transformation', '`~astropy.wcs.WCS.all_pix2world` with complete', 'distortion model.', '', '', ':Parameters:', '', ' **args** : flexible', '', ' There are two accepted forms for the positional arguments:', ' ', ' - 2 arguments: An *N* x *naxis* array of coordinates, and an', ' *origin*.', ' ', ' - more than 2 arguments: An array for each axis, followed by', ' an *origin*. These arrays must be broadcastable to one', ' another.', ' ', ' Here, *origin* is the coordinate in the upper left corner of the', ' image. In FITS and Fortran standards, this is 1. In Numpy and C', ' standards this is 0.', ' ', ' For a transformation that is not two-dimensional, the', ' two-argument form must be used.', ' ', '', ' **ra_dec_order** : bool, optional', '', ' When `True` will ensure that world coordinates are always given', ' and returned in as (*ra*, *dec*) pairs, regardless of the order of', ' the axes specified by the in the ``CTYPE`` keywords. Default is', ' `False`.', ' ', '', ' **tolerance** : float, optional (Default = 1.0e-4)', '', ' Tolerance of solution. Iteration terminates when the', ' iterative solver estimates that the "true solution" is', ' within this many pixels current estimate, more', ' specifically, when the correction to the solution found', ' during the previous iteration is smaller', ' (in the sense of the L2 norm) than ``tolerance``.', ' ', '', ' **maxiter** : int, optional (Default = 20)', '', ' Maximum number of iterations allowed to reach a solution.', ' ', '', ' **quiet** : bool, optional (Default = False)', '', ' Do not throw :py:class:`NoConvergence` exceptions when', ' the method does not converge to a solution with the', ' required accuracy within a specified number of maximum', ' iterations set by ``maxiter`` parameter. Instead,', ' simply return the found solution.', '', ':Returns:', '', ' **result** : array', '', ' Returns the pixel coordinates. If the input was a single array and', ' origin, a single array is returned, otherwise a tuple of arrays is', ' returned.', '', ':Other Parameters:', '', ' **adaptive** : bool, optional (Default = False)', '', ' Specifies whether to adaptively select only points that', ' did not converge to a solution within the required', ' accuracy for the next iteration. Default is recommended', ' for HST as well as most other instruments.', ' ', ' .. note::', ' The :py:meth:`all_world2pix` uses a vectorized', ' implementation of the method of consecutive', ' approximations (see ``Notes`` section below) in which it', ' iterates over *all* input points *regardless* until', ' the required accuracy has been reached for *all* input', ' points. In some cases it may be possible that', ' *almost all* points have reached the required accuracy', ' but there are only a few of input data points for', ' which additional iterations may be needed (this', ' depends mostly on the characteristics of the geometric', ' distortions for a given instrument). In this situation', ' it may be advantageous to set ``adaptive`` = `True` in', ' which case :py:meth:`all_world2pix` will continue', ' iterating *only* over the points that have not yet', ' converged to the required accuracy. However, for the', " HST's ACS/WFC detector, which has the strongest", ' distortions of all HST instruments, testing has', ' shown that enabling this option would lead to a about', ' 50-100% penalty in computational time (depending on', ' specifics of the image, geometric distortions, and', ' number of input points to be converted). Therefore,', ' for HST and possibly instruments, it is recommended', ' to set ``adaptive`` = `False`. The only danger in', ' getting this setting wrong will be a performance', ' penalty.', ' ', ' .. note::', ' When ``detect_divergence`` is `True`,', ' :py:meth:`all_world2pix` will automatically switch', ' to the adaptive algorithm once divergence has been', ' detected.', ' ', '', ' **detect_divergence** : bool, optional (Default = True)', '', ' Specifies whether to perform a more detailed analysis', ' of the convergence to a solution. Normally', ' :py:meth:`all_world2pix` may not achieve the required', ' accuracy if either the ``tolerance`` or ``maxiter`` arguments', ' are too low. However, it may happen that for some', ' geometric distortions the conditions of convergence for', ' the the method of consecutive approximations used by', ' :py:meth:`all_world2pix` may not be satisfied, in which', ' case consecutive approximations to the solution will', ' diverge regardless of the ``tolerance`` or ``maxiter``', ' settings.', ' ', ' When ``detect_divergence`` is `False`, these divergent', ' points will be detected as not having achieved the', ' required accuracy (without further details). In addition,', ' if ``adaptive`` is `False` then the algorithm will not', ' know that the solution (for specific points) is diverging', ' and will continue iterating and trying to "improve"', ' diverging solutions. This may result in ``NaN`` or', ' ``Inf`` values in the return results (in addition to a', ' performance penalties). Even when ``detect_divergence``', ' is `False`, :py:meth:`all_world2pix`, at the end of the', ' iterative process, will identify invalid results', ' (``NaN`` or ``Inf``) as "diverging" solutions and will', ' raise :py:class:`NoConvergence` unless the ``quiet``', ' parameter is set to `True`.', ' ', ' When ``detect_divergence`` is `True`,', ' :py:meth:`all_world2pix` will detect points for which', ' current correction to the coordinates is larger than', ' the correction applied during the previous iteration', ' **if** the requested accuracy **has not yet been', ' achieved**. In this case, if ``adaptive`` is `True`,', ' these points will be excluded from further iterations and', ' if ``adaptive`` is `False`, :py:meth:`all_world2pix` will', ' automatically switch to the adaptive algorithm. Thus, the', ' reported divergent solution will be the latest converging', ' solution computed immediately *before* divergence', ' has been detected.', ' ', ' .. note::', ' When accuracy has been achieved, small increases in', ' current corrections may be possible due to rounding', ' errors (when ``adaptive`` is `False`) and such', ' increases will be ignored.', ' ', ' .. note::', ' Based on our testing using HST ACS/WFC images, setting', ' ``detect_divergence`` to `True` will incur about 5-20%', ' performance penalty with the larger penalty', ' corresponding to ``adaptive`` set to `True`.', ' Because the benefits of enabling this', ' feature outweigh the small performance penalty,', ' especially when ``adaptive`` = `False`, it is', ' recommended to set ``detect_divergence`` to `True`,', ' unless extensive testing of the distortion models for', ' images from specific instruments show a good stability', ' of the numerical method for a wide range of', ' coordinates (even outside the image itself).', ' ', ' .. note::', ' Indices of the diverging inverse solutions will be', ' reported in the ``divergent`` attribute of the', ' raised :py:class:`NoConvergence` exception object.', '', ':Raises:', '', ' **NoConvergence**', '', ' The method did not converge to a', ' solution to the required accuracy within a specified', ' number of maximum iterations set by the ``maxiter``', ' parameter. To turn off this exception, set ``quiet`` to', ' `True`. Indices of the points for which the requested', ' accuracy was not achieved (if any) will be listed in the', ' ``slow_conv`` attribute of the', ' raised :py:class:`NoConvergence` exception object.', ' ', ' See :py:class:`NoConvergence` documentation for', ' more details.', ' ', '', ' **MemoryError**', '', ' Memory allocation failed.', ' ', '', ' **SingularMatrixError**', '', ' Linear transformation matrix is singular.', ' ', '', ' **InconsistentAxisTypesError**', '', ' Inconsistent or unrecognized coordinate axis types.', ' ', '', ' **ValueError**', '', ' Invalid parameter value.', ' ', '', ' **ValueError**', '', ' Invalid coordinate transformation parameters.', ' ', '', ' **ValueError**', '', ' x- and y-coordinate arrays are not the same size.', ' ', '', ' **InvalidTransformError**', '', ' Invalid coordinate transformation parameters.', ' ', '', ' **InvalidTransformError**', '', ' Ill-conditioned coordinate transformation parameters.', '', '.. rubric:: Notes', '', '', 'The order of the axes for the input world array is determined by', 'the ``CTYPEia`` keywords in the FITS header, therefore it may', 'not always be of the form (*ra*, *dec*). The', '`~astropy.wcs.Wcsprm.lat`, `~astropy.wcs.Wcsprm.lng`,', '`~astropy.wcs.Wcsprm.lattyp`, and', '`~astropy.wcs.Wcsprm.lngtyp`', 'members can be used to determine the order of the axes.', '', 'Using the method of fixed-point iterations approximations we', 'iterate starting with the initial approximation, which is', 'computed using the non-distortion-aware', ':py:meth:`wcs_world2pix` (or equivalent).', '', 'The :py:meth:`all_world2pix` function uses a vectorized', 'implementation of the method of consecutive approximations and', 'therefore it is highly efficient (>30x) when *all* data points', 'that need to be converted from sky coordinates to image', 'coordinates are passed at *once*. Therefore, it is advisable,', 'whenever possible, to pass as input a long array of all points', 'that need to be converted to :py:meth:`all_world2pix` instead', 'of calling :py:meth:`all_world2pix` for each data point. Also', 'see the note to the ``adaptive`` parameter.', '', '.. rubric:: Examples', '', '', '>>> import astropy.io.fits as fits', '>>> import astropy.wcs as wcs', '>>> import numpy as np', '>>> import os', '', ">>> filename = os.path.join(wcs.__path__[0], 'tests/data/j94f05bgq_flt.fits')", '>>> hdulist = fits.open(filename)', ">>> w = wcs.WCS(hdulist[('sci',1)].header, hdulist)", '>>> hdulist.close()', '', '>>> ra, dec = w.all_pix2world([1,2,3], [1,1,1], 1)', '>>> print(ra) # doctest: +FLOAT_CMP', '[ 5.52645627 5.52649663 5.52653698]', '>>> print(dec) # doctest: +FLOAT_CMP', '[-72.05171757 -72.05171276 -72.05170795]', '>>> radec = w.all_pix2world([[1,1], [2,1], [3,1]], 1)', '>>> print(radec) # doctest: +FLOAT_CMP', '[[ 5.52645627 -72.05171757]', ' [ 5.52649663 -72.05171276]', ' [ 5.52653698 -72.05170795]]', '>>> x, y = w.all_world2pix(ra, dec, 1)', '>>> print(x) # doctest: +FLOAT_CMP', '[ 1.00000238 2.00000237 3.00000236]', '>>> print(y) # doctest: +FLOAT_CMP', '[ 0.99999996 0.99999997 0.99999997]', '>>> xy = w.all_world2pix(radec, 1)', '>>> print(xy) # doctest: +FLOAT_CMP', '[[ 1.00000238 0.99999996]', ' [ 2.00000237 0.99999997]', ' [ 3.00000236 0.99999997]]', '>>> xy = w.all_world2pix(radec, 1, maxiter=3,', '... tolerance=1.0e-10, quiet=False)', 'Traceback (most recent call last):', '...', "NoConvergence: 'WCS.all_world2pix' failed to converge to the", 'requested accuracy. After 3 iterations, the solution is', 'diverging at least for one input point.', '', '>>> # Now try to use some diverging data:', '>>> divradec = w.all_pix2world([[1.0, 1.0],', '... [10000.0, 50000.0],', '... [3.0, 1.0]], 1)', '>>> print(divradec) # doctest: +FLOAT_CMP', '[[ 5.52645627 -72.05171757]', ' [ 7.15976932 -70.8140779 ]', ' [ 5.52653698 -72.05170795]]', '', '>>> # First, turn detect_divergence on:', '>>> try: # doctest: +FLOAT_CMP', '... xy = w.all_world2pix(divradec, 1, maxiter=20,', '... tolerance=1.0e-4, adaptive=False,', '... detect_divergence=True,', '... quiet=False)', '... except wcs.wcs.NoConvergence as e:', '... print("Indices of diverging points: {0}"', '... .format(e.divergent))', '... print("Indices of poorly converging points: {0}"', '... .format(e.slow_conv))', '... print("Best solution:\\n{0}".format(e.best_solution))', '... print("Achieved accuracy:\\n{0}".format(e.accuracy))', 'Indices of diverging points: [1]', 'Indices of poorly converging points: None', 'Best solution:', '[[ 1.00000238e+00 9.99999965e-01]', ' [ -1.99441636e+06 1.44309097e+06]', ' [ 3.00000236e+00 9.99999966e-01]]', 'Achieved accuracy:', '[[ 6.13968380e-05 8.59638593e-07]', ' [ 8.59526812e+11 6.61713548e+11]', ' [ 6.09398446e-05 8.38759724e-07]]', '>>> raise e', 'Traceback (most recent call last):', '...', "NoConvergence: 'WCS.all_world2pix' failed to converge to the", 'requested accuracy. After 5 iterations, the solution is', 'diverging at least for one input point.', '', '>>> # This time turn detect_divergence off:', '>>> try: # doctest: +FLOAT_CMP', '... xy = w.all_world2pix(divradec, 1, maxiter=20,', '... tolerance=1.0e-4, adaptive=False,', '... detect_divergence=False,', '... quiet=False)', '... except wcs.wcs.NoConvergence as e:', '... print("Indices of diverging points: {0}"', '... .format(e.divergent))', '... print("Indices of poorly converging points: {0}"', '... .format(e.slow_conv))', '... print("Best solution:\\n{0}".format(e.best_solution))', '... print("Achieved accuracy:\\n{0}".format(e.accuracy))', 'Indices of diverging points: [1]', 'Indices of poorly converging points: None', 'Best solution:', '[[ 1.00000009 1. ]', ' [ nan nan]', ' [ 3.00000009 1. ]]', 'Achieved accuracy:', '[[ 2.29417358e-06 3.21222995e-08]', ' [ nan nan]', ' [ 2.27407877e-06 3.13005639e-08]]', '>>> raise e', 'Traceback (most recent call last):', '...', "NoConvergence: 'WCS.all_world2pix' failed to converge to the", 'requested accuracy. After 6 iterations, the solution is', 'diverging at least for one input point.']:155: WARNING: py:obj reference target not found: True ['WCS.all_world2pix(*arg, accuracy=1.0e-4, maxiter=20, adaptive=False, detect_divergence=True, quiet=False)', ':module: astropy.wcs', '', '', '', 'Transforms world coordinates to pixel coordinates, using', 'numerical iteration to invert the full forward transformation', '`~astropy.wcs.WCS.all_pix2world` with complete', 'distortion model.', '', '', ':Parameters:', '', ' **args** : flexible', '', ' There are two accepted forms for the positional arguments:', ' ', ' - 2 arguments: An *N* x *naxis* array of coordinates, and an', ' *origin*.', ' ', ' - more than 2 arguments: An array for each axis, followed by', ' an *origin*. These arrays must be broadcastable to one', ' another.', ' ', ' Here, *origin* is the coordinate in the upper left corner of the', ' image. In FITS and Fortran standards, this is 1. In Numpy and C', ' standards this is 0.', ' ', ' For a transformation that is not two-dimensional, the', ' two-argument form must be used.', ' ', '', ' **ra_dec_order** : bool, optional', '', ' When `True` will ensure that world coordinates are always given', ' and returned in as (*ra*, *dec*) pairs, regardless of the order of', ' the axes specified by the in the ``CTYPE`` keywords. Default is', ' `False`.', ' ', '', ' **tolerance** : float, optional (Default = 1.0e-4)', '', ' Tolerance of solution. Iteration terminates when the', ' iterative solver estimates that the "true solution" is', ' within this many pixels current estimate, more', ' specifically, when the correction to the solution found', ' during the previous iteration is smaller', ' (in the sense of the L2 norm) than ``tolerance``.', ' ', '', ' **maxiter** : int, optional (Default = 20)', '', ' Maximum number of iterations allowed to reach a solution.', ' ', '', ' **quiet** : bool, optional (Default = False)', '', ' Do not throw :py:class:`NoConvergence` exceptions when', ' the method does not converge to a solution with the', ' required accuracy within a specified number of maximum', ' iterations set by ``maxiter`` parameter. Instead,', ' simply return the found solution.', '', ':Returns:', '', ' **result** : array', '', ' Returns the pixel coordinates. If the input was a single array and', ' origin, a single array is returned, otherwise a tuple of arrays is', ' returned.', '', ':Other Parameters:', '', ' **adaptive** : bool, optional (Default = False)', '', ' Specifies whether to adaptively select only points that', ' did not converge to a solution within the required', ' accuracy for the next iteration. Default is recommended', ' for HST as well as most other instruments.', ' ', ' .. note::', ' The :py:meth:`all_world2pix` uses a vectorized', ' implementation of the method of consecutive', ' approximations (see ``Notes`` section below) in which it', ' iterates over *all* input points *regardless* until', ' the required accuracy has been reached for *all* input', ' points. In some cases it may be possible that', ' *almost all* points have reached the required accuracy', ' but there are only a few of input data points for', ' which additional iterations may be needed (this', ' depends mostly on the characteristics of the geometric', ' distortions for a given instrument). In this situation', ' it may be advantageous to set ``adaptive`` = `True` in', ' which case :py:meth:`all_world2pix` will continue', ' iterating *only* over the points that have not yet', ' converged to the required accuracy. However, for the', " HST's ACS/WFC detector, which has the strongest", ' distortions of all HST instruments, testing has', ' shown that enabling this option would lead to a about', ' 50-100% penalty in computational time (depending on', ' specifics of the image, geometric distortions, and', ' number of input points to be converted). Therefore,', ' for HST and possibly instruments, it is recommended', ' to set ``adaptive`` = `False`. The only danger in', ' getting this setting wrong will be a performance', ' penalty.', ' ', ' .. note::', ' When ``detect_divergence`` is `True`,', ' :py:meth:`all_world2pix` will automatically switch', ' to the adaptive algorithm once divergence has been', ' detected.', ' ', '', ' **detect_divergence** : bool, optional (Default = True)', '', ' Specifies whether to perform a more detailed analysis', ' of the convergence to a solution. Normally', ' :py:meth:`all_world2pix` may not achieve the required', ' accuracy if either the ``tolerance`` or ``maxiter`` arguments', ' are too low. However, it may happen that for some', ' geometric distortions the conditions of convergence for', ' the the method of consecutive approximations used by', ' :py:meth:`all_world2pix` may not be satisfied, in which', ' case consecutive approximations to the solution will', ' diverge regardless of the ``tolerance`` or ``maxiter``', ' settings.', ' ', ' When ``detect_divergence`` is `False`, these divergent', ' points will be detected as not having achieved the', ' required accuracy (without further details). In addition,', ' if ``adaptive`` is `False` then the algorithm will not', ' know that the solution (for specific points) is diverging', ' and will continue iterating and trying to "improve"', ' diverging solutions. This may result in ``NaN`` or', ' ``Inf`` values in the return results (in addition to a', ' performance penalties). Even when ``detect_divergence``', ' is `False`, :py:meth:`all_world2pix`, at the end of the', ' iterative process, will identify invalid results', ' (``NaN`` or ``Inf``) as "diverging" solutions and will', ' raise :py:class:`NoConvergence` unless the ``quiet``', ' parameter is set to `True`.', ' ', ' When ``detect_divergence`` is `True`,', ' :py:meth:`all_world2pix` will detect points for which', ' current correction to the coordinates is larger than', ' the correction applied during the previous iteration', ' **if** the requested accuracy **has not yet been', ' achieved**. In this case, if ``adaptive`` is `True`,', ' these points will be excluded from further iterations and', ' if ``adaptive`` is `False`, :py:meth:`all_world2pix` will', ' automatically switch to the adaptive algorithm. Thus, the', ' reported divergent solution will be the latest converging', ' solution computed immediately *before* divergence', ' has been detected.', ' ', ' .. note::', ' When accuracy has been achieved, small increases in', ' current corrections may be possible due to rounding', ' errors (when ``adaptive`` is `False`) and such', ' increases will be ignored.', ' ', ' .. note::', ' Based on our testing using HST ACS/WFC images, setting', ' ``detect_divergence`` to `True` will incur about 5-20%', ' performance penalty with the larger penalty', ' corresponding to ``adaptive`` set to `True`.', ' Because the benefits of enabling this', ' feature outweigh the small performance penalty,', ' especially when ``adaptive`` = `False`, it is', ' recommended to set ``detect_divergence`` to `True`,', ' unless extensive testing of the distortion models for', ' images from specific instruments show a good stability', ' of the numerical method for a wide range of', ' coordinates (even outside the image itself).', ' ', ' .. note::', ' Indices of the diverging inverse solutions will be', ' reported in the ``divergent`` attribute of the', ' raised :py:class:`NoConvergence` exception object.', '', ':Raises:', '', ' **NoConvergence**', '', ' The method did not converge to a', ' solution to the required accuracy within a specified', ' number of maximum iterations set by the ``maxiter``', ' parameter. To turn off this exception, set ``quiet`` to', ' `True`. Indices of the points for which the requested', ' accuracy was not achieved (if any) will be listed in the', ' ``slow_conv`` attribute of the', ' raised :py:class:`NoConvergence` exception object.', ' ', ' See :py:class:`NoConvergence` documentation for', ' more details.', ' ', '', ' **MemoryError**', '', ' Memory allocation failed.', ' ', '', ' **SingularMatrixError**', '', ' Linear transformation matrix is singular.', ' ', '', ' **InconsistentAxisTypesError**', '', ' Inconsistent or unrecognized coordinate axis types.', ' ', '', ' **ValueError**', '', ' Invalid parameter value.', ' ', '', ' **ValueError**', '', ' Invalid coordinate transformation parameters.', ' ', '', ' **ValueError**', '', ' x- and y-coordinate arrays are not the same size.', ' ', '', ' **InvalidTransformError**', '', ' Invalid coordinate transformation parameters.', ' ', '', ' **InvalidTransformError**', '', ' Ill-conditioned coordinate transformation parameters.', '', '.. rubric:: Notes', '', '', 'The order of the axes for the input world array is determined by', 'the ``CTYPEia`` keywords in the FITS header, therefore it may', 'not always be of the form (*ra*, *dec*). The', '`~astropy.wcs.Wcsprm.lat`, `~astropy.wcs.Wcsprm.lng`,', '`~astropy.wcs.Wcsprm.lattyp`, and', '`~astropy.wcs.Wcsprm.lngtyp`', 'members can be used to determine the order of the axes.', '', 'Using the method of fixed-point iterations approximations we', 'iterate starting with the initial approximation, which is', 'computed using the non-distortion-aware', ':py:meth:`wcs_world2pix` (or equivalent).', '', 'The :py:meth:`all_world2pix` function uses a vectorized', 'implementation of the method of consecutive approximations and', 'therefore it is highly efficient (>30x) when *all* data points', 'that need to be converted from sky coordinates to image', 'coordinates are passed at *once*. Therefore, it is advisable,', 'whenever possible, to pass as input a long array of all points', 'that need to be converted to :py:meth:`all_world2pix` instead', 'of calling :py:meth:`all_world2pix` for each data point. Also', 'see the note to the ``adaptive`` parameter.', '', '.. rubric:: Examples', '', '', '>>> import astropy.io.fits as fits', '>>> import astropy.wcs as wcs', '>>> import numpy as np', '>>> import os', '', ">>> filename = os.path.join(wcs.__path__[0], 'tests/data/j94f05bgq_flt.fits')", '>>> hdulist = fits.open(filename)', ">>> w = wcs.WCS(hdulist[('sci',1)].header, hdulist)", '>>> hdulist.close()', '', '>>> ra, dec = w.all_pix2world([1,2,3], [1,1,1], 1)', '>>> print(ra) # doctest: +FLOAT_CMP', '[ 5.52645627 5.52649663 5.52653698]', '>>> print(dec) # doctest: +FLOAT_CMP', '[-72.05171757 -72.05171276 -72.05170795]', '>>> radec = w.all_pix2world([[1,1], [2,1], [3,1]], 1)', '>>> print(radec) # doctest: +FLOAT_CMP', '[[ 5.52645627 -72.05171757]', ' [ 5.52649663 -72.05171276]', ' [ 5.52653698 -72.05170795]]', '>>> x, y = w.all_world2pix(ra, dec, 1)', '>>> print(x) # doctest: +FLOAT_CMP', '[ 1.00000238 2.00000237 3.00000236]', '>>> print(y) # doctest: +FLOAT_CMP', '[ 0.99999996 0.99999997 0.99999997]', '>>> xy = w.all_world2pix(radec, 1)', '>>> print(xy) # doctest: +FLOAT_CMP', '[[ 1.00000238 0.99999996]', ' [ 2.00000237 0.99999997]', ' [ 3.00000236 0.99999997]]', '>>> xy = w.all_world2pix(radec, 1, maxiter=3,', '... tolerance=1.0e-10, quiet=False)', 'Traceback (most recent call last):', '...', "NoConvergence: 'WCS.all_world2pix' failed to converge to the", 'requested accuracy. After 3 iterations, the solution is', 'diverging at least for one input point.', '', '>>> # Now try to use some diverging data:', '>>> divradec = w.all_pix2world([[1.0, 1.0],', '... [10000.0, 50000.0],', '... [3.0, 1.0]], 1)', '>>> print(divradec) # doctest: +FLOAT_CMP', '[[ 5.52645627 -72.05171757]', ' [ 7.15976932 -70.8140779 ]', ' [ 5.52653698 -72.05170795]]', '', '>>> # First, turn detect_divergence on:', '>>> try: # doctest: +FLOAT_CMP', '... xy = w.all_world2pix(divradec, 1, maxiter=20,', '... tolerance=1.0e-4, adaptive=False,', '... detect_divergence=True,', '... quiet=False)', '... except wcs.wcs.NoConvergence as e:', '... print("Indices of diverging points: {0}"', '... .format(e.divergent))', '... print("Indices of poorly converging points: {0}"', '... .format(e.slow_conv))', '... print("Best solution:\\n{0}".format(e.best_solution))', '... print("Achieved accuracy:\\n{0}".format(e.accuracy))', 'Indices of diverging points: [1]', 'Indices of poorly converging points: None', 'Best solution:', '[[ 1.00000238e+00 9.99999965e-01]', ' [ -1.99441636e+06 1.44309097e+06]', ' [ 3.00000236e+00 9.99999966e-01]]', 'Achieved accuracy:', '[[ 6.13968380e-05 8.59638593e-07]', ' [ 8.59526812e+11 6.61713548e+11]', ' [ 6.09398446e-05 8.38759724e-07]]', '>>> raise e', 'Traceback (most recent call last):', '...', "NoConvergence: 'WCS.all_world2pix' failed to converge to the", 'requested accuracy. After 5 iterations, the solution is', 'diverging at least for one input point.', '', '>>> # This time turn detect_divergence off:', '>>> try: # doctest: +FLOAT_CMP', '... xy = w.all_world2pix(divradec, 1, maxiter=20,', '... tolerance=1.0e-4, adaptive=False,', '... detect_divergence=False,', '... quiet=False)', '... except wcs.wcs.NoConvergence as e:', '... print("Indices of diverging points: {0}"', '... .format(e.divergent))', '... print("Indices of poorly converging points: {0}"', '... .format(e.slow_conv))', '... print("Best solution:\\n{0}".format(e.best_solution))', '... print("Achieved accuracy:\\n{0}".format(e.accuracy))', 'Indices of diverging points: [1]', 'Indices of poorly converging points: None', 'Best solution:', '[[ 1.00000009 1. ]', ' [ nan nan]', ' [ 3.00000009 1. ]]', 'Achieved accuracy:', '[[ 2.29417358e-06 3.21222995e-08]', ' [ nan nan]', ' [ 2.27407877e-06 3.13005639e-08]]', '>>> raise e', 'Traceback (most recent call last):', '...', "NoConvergence: 'WCS.all_world2pix' failed to converge to the", 'requested accuracy. After 6 iterations, the solution is', 'diverging at least for one input point.']:155: WARNING: py:obj reference target not found: False ['WCS.all_world2pix(*arg, accuracy=1.0e-4, maxiter=20, adaptive=False, detect_divergence=True, quiet=False)', ':module: astropy.wcs', '', '', '', 'Transforms world coordinates to pixel coordinates, using', 'numerical iteration to invert the full forward transformation', '`~astropy.wcs.WCS.all_pix2world` with complete', 'distortion model.', '', '', ':Parameters:', '', ' **args** : flexible', '', ' There are two accepted forms for the positional arguments:', ' ', ' - 2 arguments: An *N* x *naxis* array of coordinates, and an', ' *origin*.', ' ', ' - more than 2 arguments: An array for each axis, followed by', ' an *origin*. These arrays must be broadcastable to one', ' another.', ' ', ' Here, *origin* is the coordinate in the upper left corner of the', ' image. In FITS and Fortran standards, this is 1. In Numpy and C', ' standards this is 0.', ' ', ' For a transformation that is not two-dimensional, the', ' two-argument form must be used.', ' ', '', ' **ra_dec_order** : bool, optional', '', ' When `True` will ensure that world coordinates are always given', ' and returned in as (*ra*, *dec*) pairs, regardless of the order of', ' the axes specified by the in the ``CTYPE`` keywords. Default is', ' `False`.', ' ', '', ' **tolerance** : float, optional (Default = 1.0e-4)', '', ' Tolerance of solution. Iteration terminates when the', ' iterative solver estimates that the "true solution" is', ' within this many pixels current estimate, more', ' specifically, when the correction to the solution found', ' during the previous iteration is smaller', ' (in the sense of the L2 norm) than ``tolerance``.', ' ', '', ' **maxiter** : int, optional (Default = 20)', '', ' Maximum number of iterations allowed to reach a solution.', ' ', '', ' **quiet** : bool, optional (Default = False)', '', ' Do not throw :py:class:`NoConvergence` exceptions when', ' the method does not converge to a solution with the', ' required accuracy within a specified number of maximum', ' iterations set by ``maxiter`` parameter. Instead,', ' simply return the found solution.', '', ':Returns:', '', ' **result** : array', '', ' Returns the pixel coordinates. If the input was a single array and', ' origin, a single array is returned, otherwise a tuple of arrays is', ' returned.', '', ':Other Parameters:', '', ' **adaptive** : bool, optional (Default = False)', '', ' Specifies whether to adaptively select only points that', ' did not converge to a solution within the required', ' accuracy for the next iteration. Default is recommended', ' for HST as well as most other instruments.', ' ', ' .. note::', ' The :py:meth:`all_world2pix` uses a vectorized', ' implementation of the method of consecutive', ' approximations (see ``Notes`` section below) in which it', ' iterates over *all* input points *regardless* until', ' the required accuracy has been reached for *all* input', ' points. In some cases it may be possible that', ' *almost all* points have reached the required accuracy', ' but there are only a few of input data points for', ' which additional iterations may be needed (this', ' depends mostly on the characteristics of the geometric', ' distortions for a given instrument). In this situation', ' it may be advantageous to set ``adaptive`` = `True` in', ' which case :py:meth:`all_world2pix` will continue', ' iterating *only* over the points that have not yet', ' converged to the required accuracy. However, for the', " HST's ACS/WFC detector, which has the strongest", ' distortions of all HST instruments, testing has', ' shown that enabling this option would lead to a about', ' 50-100% penalty in computational time (depending on', ' specifics of the image, geometric distortions, and', ' number of input points to be converted). Therefore,', ' for HST and possibly instruments, it is recommended', ' to set ``adaptive`` = `False`. The only danger in', ' getting this setting wrong will be a performance', ' penalty.', ' ', ' .. note::', ' When ``detect_divergence`` is `True`,', ' :py:meth:`all_world2pix` will automatically switch', ' to the adaptive algorithm once divergence has been', ' detected.', ' ', '', ' **detect_divergence** : bool, optional (Default = True)', '', ' Specifies whether to perform a more detailed analysis', ' of the convergence to a solution. Normally', ' :py:meth:`all_world2pix` may not achieve the required', ' accuracy if either the ``tolerance`` or ``maxiter`` arguments', ' are too low. However, it may happen that for some', ' geometric distortions the conditions of convergence for', ' the the method of consecutive approximations used by', ' :py:meth:`all_world2pix` may not be satisfied, in which', ' case consecutive approximations to the solution will', ' diverge regardless of the ``tolerance`` or ``maxiter``', ' settings.', ' ', ' When ``detect_divergence`` is `False`, these divergent', ' points will be detected as not having achieved the', ' required accuracy (without further details). In addition,', ' if ``adaptive`` is `False` then the algorithm will not', ' know that the solution (for specific points) is diverging', ' and will continue iterating and trying to "improve"', ' diverging solutions. This may result in ``NaN`` or', ' ``Inf`` values in the return results (in addition to a', ' performance penalties). Even when ``detect_divergence``', ' is `False`, :py:meth:`all_world2pix`, at the end of the', ' iterative process, will identify invalid results', ' (``NaN`` or ``Inf``) as "diverging" solutions and will', ' raise :py:class:`NoConvergence` unless the ``quiet``', ' parameter is set to `True`.', ' ', ' When ``detect_divergence`` is `True`,', ' :py:meth:`all_world2pix` will detect points for which', ' current correction to the coordinates is larger than', ' the correction applied during the previous iteration', ' **if** the requested accuracy **has not yet been', ' achieved**. In this case, if ``adaptive`` is `True`,', ' these points will be excluded from further iterations and', ' if ``adaptive`` is `False`, :py:meth:`all_world2pix` will', ' automatically switch to the adaptive algorithm. Thus, the', ' reported divergent solution will be the latest converging', ' solution computed immediately *before* divergence', ' has been detected.', ' ', ' .. note::', ' When accuracy has been achieved, small increases in', ' current corrections may be possible due to rounding', ' errors (when ``adaptive`` is `False`) and such', ' increases will be ignored.', ' ', ' .. note::', ' Based on our testing using HST ACS/WFC images, setting', ' ``detect_divergence`` to `True` will incur about 5-20%', ' performance penalty with the larger penalty', ' corresponding to ``adaptive`` set to `True`.', ' Because the benefits of enabling this', ' feature outweigh the small performance penalty,', ' especially when ``adaptive`` = `False`, it is', ' recommended to set ``detect_divergence`` to `True`,', ' unless extensive testing of the distortion models for', ' images from specific instruments show a good stability', ' of the numerical method for a wide range of', ' coordinates (even outside the image itself).', ' ', ' .. note::', ' Indices of the diverging inverse solutions will be', ' reported in the ``divergent`` attribute of the', ' raised :py:class:`NoConvergence` exception object.', '', ':Raises:', '', ' **NoConvergence**', '', ' The method did not converge to a', ' solution to the required accuracy within a specified', ' number of maximum iterations set by the ``maxiter``', ' parameter. To turn off this exception, set ``quiet`` to', ' `True`. Indices of the points for which the requested', ' accuracy was not achieved (if any) will be listed in the', ' ``slow_conv`` attribute of the', ' raised :py:class:`NoConvergence` exception object.', ' ', ' See :py:class:`NoConvergence` documentation for', ' more details.', ' ', '', ' **MemoryError**', '', ' Memory allocation failed.', ' ', '', ' **SingularMatrixError**', '', ' Linear transformation matrix is singular.', ' ', '', ' **InconsistentAxisTypesError**', '', ' Inconsistent or unrecognized coordinate axis types.', ' ', '', ' **ValueError**', '', ' Invalid parameter value.', ' ', '', ' **ValueError**', '', ' Invalid coordinate transformation parameters.', ' ', '', ' **ValueError**', '', ' x- and y-coordinate arrays are not the same size.', ' ', '', ' **InvalidTransformError**', '', ' Invalid coordinate transformation parameters.', ' ', '', ' **InvalidTransformError**', '', ' Ill-conditioned coordinate transformation parameters.', '', '.. rubric:: Notes', '', '', 'The order of the axes for the input world array is determined by', 'the ``CTYPEia`` keywords in the FITS header, therefore it may', 'not always be of the form (*ra*, *dec*). The', '`~astropy.wcs.Wcsprm.lat`, `~astropy.wcs.Wcsprm.lng`,', '`~astropy.wcs.Wcsprm.lattyp`, and', '`~astropy.wcs.Wcsprm.lngtyp`', 'members can be used to determine the order of the axes.', '', 'Using the method of fixed-point iterations approximations we', 'iterate starting with the initial approximation, which is', 'computed using the non-distortion-aware', ':py:meth:`wcs_world2pix` (or equivalent).', '', 'The :py:meth:`all_world2pix` function uses a vectorized', 'implementation of the method of consecutive approximations and', 'therefore it is highly efficient (>30x) when *all* data points', 'that need to be converted from sky coordinates to image', 'coordinates are passed at *once*. Therefore, it is advisable,', 'whenever possible, to pass as input a long array of all points', 'that need to be converted to :py:meth:`all_world2pix` instead', 'of calling :py:meth:`all_world2pix` for each data point. Also', 'see the note to the ``adaptive`` parameter.', '', '.. rubric:: Examples', '', '', '>>> import astropy.io.fits as fits', '>>> import astropy.wcs as wcs', '>>> import numpy as np', '>>> import os', '', ">>> filename = os.path.join(wcs.__path__[0], 'tests/data/j94f05bgq_flt.fits')", '>>> hdulist = fits.open(filename)', ">>> w = wcs.WCS(hdulist[('sci',1)].header, hdulist)", '>>> hdulist.close()', '', '>>> ra, dec = w.all_pix2world([1,2,3], [1,1,1], 1)', '>>> print(ra) # doctest: +FLOAT_CMP', '[ 5.52645627 5.52649663 5.52653698]', '>>> print(dec) # doctest: +FLOAT_CMP', '[-72.05171757 -72.05171276 -72.05170795]', '>>> radec = w.all_pix2world([[1,1], [2,1], [3,1]], 1)', '>>> print(radec) # doctest: +FLOAT_CMP', '[[ 5.52645627 -72.05171757]', ' [ 5.52649663 -72.05171276]', ' [ 5.52653698 -72.05170795]]', '>>> x, y = w.all_world2pix(ra, dec, 1)', '>>> print(x) # doctest: +FLOAT_CMP', '[ 1.00000238 2.00000237 3.00000236]', '>>> print(y) # doctest: +FLOAT_CMP', '[ 0.99999996 0.99999997 0.99999997]', '>>> xy = w.all_world2pix(radec, 1)', '>>> print(xy) # doctest: +FLOAT_CMP', '[[ 1.00000238 0.99999996]', ' [ 2.00000237 0.99999997]', ' [ 3.00000236 0.99999997]]', '>>> xy = w.all_world2pix(radec, 1, maxiter=3,', '... tolerance=1.0e-10, quiet=False)', 'Traceback (most recent call last):', '...', "NoConvergence: 'WCS.all_world2pix' failed to converge to the", 'requested accuracy. After 3 iterations, the solution is', 'diverging at least for one input point.', '', '>>> # Now try to use some diverging data:', '>>> divradec = w.all_pix2world([[1.0, 1.0],', '... [10000.0, 50000.0],', '... [3.0, 1.0]], 1)', '>>> print(divradec) # doctest: +FLOAT_CMP', '[[ 5.52645627 -72.05171757]', ' [ 7.15976932 -70.8140779 ]', ' [ 5.52653698 -72.05170795]]', '', '>>> # First, turn detect_divergence on:', '>>> try: # doctest: +FLOAT_CMP', '... xy = w.all_world2pix(divradec, 1, maxiter=20,', '... tolerance=1.0e-4, adaptive=False,', '... detect_divergence=True,', '... quiet=False)', '... except wcs.wcs.NoConvergence as e:', '... print("Indices of diverging points: {0}"', '... .format(e.divergent))', '... print("Indices of poorly converging points: {0}"', '... .format(e.slow_conv))', '... print("Best solution:\\n{0}".format(e.best_solution))', '... print("Achieved accuracy:\\n{0}".format(e.accuracy))', 'Indices of diverging points: [1]', 'Indices of poorly converging points: None', 'Best solution:', '[[ 1.00000238e+00 9.99999965e-01]', ' [ -1.99441636e+06 1.44309097e+06]', ' [ 3.00000236e+00 9.99999966e-01]]', 'Achieved accuracy:', '[[ 6.13968380e-05 8.59638593e-07]', ' [ 8.59526812e+11 6.61713548e+11]', ' [ 6.09398446e-05 8.38759724e-07]]', '>>> raise e', 'Traceback (most recent call last):', '...', "NoConvergence: 'WCS.all_world2pix' failed to converge to the", 'requested accuracy. After 5 iterations, the solution is', 'diverging at least for one input point.', '', '>>> # This time turn detect_divergence off:', '>>> try: # doctest: +FLOAT_CMP', '... xy = w.all_world2pix(divradec, 1, maxiter=20,', '... tolerance=1.0e-4, adaptive=False,', '... detect_divergence=False,', '... quiet=False)', '... except wcs.wcs.NoConvergence as e:', '... print("Indices of diverging points: {0}"', '... .format(e.divergent))', '... print("Indices of poorly converging points: {0}"', '... .format(e.slow_conv))', '... print("Best solution:\\n{0}".format(e.best_solution))', '... print("Achieved accuracy:\\n{0}".format(e.accuracy))', 'Indices of diverging points: [1]', 'Indices of poorly converging points: None', 'Best solution:', '[[ 1.00000009 1. ]', ' [ nan nan]', ' [ 3.00000009 1. ]]', 'Achieved accuracy:', '[[ 2.29417358e-06 3.21222995e-08]', ' [ nan nan]', ' [ 2.27407877e-06 3.13005639e-08]]', '>>> raise e', 'Traceback (most recent call last):', '...', "NoConvergence: 'WCS.all_world2pix' failed to converge to the", 'requested accuracy. After 6 iterations, the solution is', 'diverging at least for one input point.']:155: WARNING: py:obj reference target not found: True ['WCS.all_world2pix(*arg, accuracy=1.0e-4, maxiter=20, adaptive=False, detect_divergence=True, quiet=False)', ':module: astropy.wcs', '', '', '', 'Transforms world coordinates to pixel coordinates, using', 'numerical iteration to invert the full forward transformation', '`~astropy.wcs.WCS.all_pix2world` with complete', 'distortion model.', '', '', ':Parameters:', '', ' **args** : flexible', '', ' There are two accepted forms for the positional arguments:', ' ', ' - 2 arguments: An *N* x *naxis* array of coordinates, and an', ' *origin*.', ' ', ' - more than 2 arguments: An array for each axis, followed by', ' an *origin*. These arrays must be broadcastable to one', ' another.', ' ', ' Here, *origin* is the coordinate in the upper left corner of the', ' image. In FITS and Fortran standards, this is 1. In Numpy and C', ' standards this is 0.', ' ', ' For a transformation that is not two-dimensional, the', ' two-argument form must be used.', ' ', '', ' **ra_dec_order** : bool, optional', '', ' When `True` will ensure that world coordinates are always given', ' and returned in as (*ra*, *dec*) pairs, regardless of the order of', ' the axes specified by the in the ``CTYPE`` keywords. Default is', ' `False`.', ' ', '', ' **tolerance** : float, optional (Default = 1.0e-4)', '', ' Tolerance of solution. Iteration terminates when the', ' iterative solver estimates that the "true solution" is', ' within this many pixels current estimate, more', ' specifically, when the correction to the solution found', ' during the previous iteration is smaller', ' (in the sense of the L2 norm) than ``tolerance``.', ' ', '', ' **maxiter** : int, optional (Default = 20)', '', ' Maximum number of iterations allowed to reach a solution.', ' ', '', ' **quiet** : bool, optional (Default = False)', '', ' Do not throw :py:class:`NoConvergence` exceptions when', ' the method does not converge to a solution with the', ' required accuracy within a specified number of maximum', ' iterations set by ``maxiter`` parameter. Instead,', ' simply return the found solution.', '', ':Returns:', '', ' **result** : array', '', ' Returns the pixel coordinates. If the input was a single array and', ' origin, a single array is returned, otherwise a tuple of arrays is', ' returned.', '', ':Other Parameters:', '', ' **adaptive** : bool, optional (Default = False)', '', ' Specifies whether to adaptively select only points that', ' did not converge to a solution within the required', ' accuracy for the next iteration. Default is recommended', ' for HST as well as most other instruments.', ' ', ' .. note::', ' The :py:meth:`all_world2pix` uses a vectorized', ' implementation of the method of consecutive', ' approximations (see ``Notes`` section below) in which it', ' iterates over *all* input points *regardless* until', ' the required accuracy has been reached for *all* input', ' points. In some cases it may be possible that', ' *almost all* points have reached the required accuracy', ' but there are only a few of input data points for', ' which additional iterations may be needed (this', ' depends mostly on the characteristics of the geometric', ' distortions for a given instrument). In this situation', ' it may be advantageous to set ``adaptive`` = `True` in', ' which case :py:meth:`all_world2pix` will continue', ' iterating *only* over the points that have not yet', ' converged to the required accuracy. However, for the', " HST's ACS/WFC detector, which has the strongest", ' distortions of all HST instruments, testing has', ' shown that enabling this option would lead to a about', ' 50-100% penalty in computational time (depending on', ' specifics of the image, geometric distortions, and', ' number of input points to be converted). Therefore,', ' for HST and possibly instruments, it is recommended', ' to set ``adaptive`` = `False`. The only danger in', ' getting this setting wrong will be a performance', ' penalty.', ' ', ' .. note::', ' When ``detect_divergence`` is `True`,', ' :py:meth:`all_world2pix` will automatically switch', ' to the adaptive algorithm once divergence has been', ' detected.', ' ', '', ' **detect_divergence** : bool, optional (Default = True)', '', ' Specifies whether to perform a more detailed analysis', ' of the convergence to a solution. Normally', ' :py:meth:`all_world2pix` may not achieve the required', ' accuracy if either the ``tolerance`` or ``maxiter`` arguments', ' are too low. However, it may happen that for some', ' geometric distortions the conditions of convergence for', ' the the method of consecutive approximations used by', ' :py:meth:`all_world2pix` may not be satisfied, in which', ' case consecutive approximations to the solution will', ' diverge regardless of the ``tolerance`` or ``maxiter``', ' settings.', ' ', ' When ``detect_divergence`` is `False`, these divergent', ' points will be detected as not having achieved the', ' required accuracy (without further details). In addition,', ' if ``adaptive`` is `False` then the algorithm will not', ' know that the solution (for specific points) is diverging', ' and will continue iterating and trying to "improve"', ' diverging solutions. This may result in ``NaN`` or', ' ``Inf`` values in the return results (in addition to a', ' performance penalties). Even when ``detect_divergence``', ' is `False`, :py:meth:`all_world2pix`, at the end of the', ' iterative process, will identify invalid results', ' (``NaN`` or ``Inf``) as "diverging" solutions and will', ' raise :py:class:`NoConvergence` unless the ``quiet``', ' parameter is set to `True`.', ' ', ' When ``detect_divergence`` is `True`,', ' :py:meth:`all_world2pix` will detect points for which', ' current correction to the coordinates is larger than', ' the correction applied during the previous iteration', ' **if** the requested accuracy **has not yet been', ' achieved**. In this case, if ``adaptive`` is `True`,', ' these points will be excluded from further iterations and', ' if ``adaptive`` is `False`, :py:meth:`all_world2pix` will', ' automatically switch to the adaptive algorithm. Thus, the', ' reported divergent solution will be the latest converging', ' solution computed immediately *before* divergence', ' has been detected.', ' ', ' .. note::', ' When accuracy has been achieved, small increases in', ' current corrections may be possible due to rounding', ' errors (when ``adaptive`` is `False`) and such', ' increases will be ignored.', ' ', ' .. note::', ' Based on our testing using HST ACS/WFC images, setting', ' ``detect_divergence`` to `True` will incur about 5-20%', ' performance penalty with the larger penalty', ' corresponding to ``adaptive`` set to `True`.', ' Because the benefits of enabling this', ' feature outweigh the small performance penalty,', ' especially when ``adaptive`` = `False`, it is', ' recommended to set ``detect_divergence`` to `True`,', ' unless extensive testing of the distortion models for', ' images from specific instruments show a good stability', ' of the numerical method for a wide range of', ' coordinates (even outside the image itself).', ' ', ' .. note::', ' Indices of the diverging inverse solutions will be', ' reported in the ``divergent`` attribute of the', ' raised :py:class:`NoConvergence` exception object.', '', ':Raises:', '', ' **NoConvergence**', '', ' The method did not converge to a', ' solution to the required accuracy within a specified', ' number of maximum iterations set by the ``maxiter``', ' parameter. To turn off this exception, set ``quiet`` to', ' `True`. Indices of the points for which the requested', ' accuracy was not achieved (if any) will be listed in the', ' ``slow_conv`` attribute of the', ' raised :py:class:`NoConvergence` exception object.', ' ', ' See :py:class:`NoConvergence` documentation for', ' more details.', ' ', '', ' **MemoryError**', '', ' Memory allocation failed.', ' ', '', ' **SingularMatrixError**', '', ' Linear transformation matrix is singular.', ' ', '', ' **InconsistentAxisTypesError**', '', ' Inconsistent or unrecognized coordinate axis types.', ' ', '', ' **ValueError**', '', ' Invalid parameter value.', ' ', '', ' **ValueError**', '', ' Invalid coordinate transformation parameters.', ' ', '', ' **ValueError**', '', ' x- and y-coordinate arrays are not the same size.', ' ', '', ' **InvalidTransformError**', '', ' Invalid coordinate transformation parameters.', ' ', '', ' **InvalidTransformError**', '', ' Ill-conditioned coordinate transformation parameters.', '', '.. rubric:: Notes', '', '', 'The order of the axes for the input world array is determined by', 'the ``CTYPEia`` keywords in the FITS header, therefore it may', 'not always be of the form (*ra*, *dec*). The', '`~astropy.wcs.Wcsprm.lat`, `~astropy.wcs.Wcsprm.lng`,', '`~astropy.wcs.Wcsprm.lattyp`, and', '`~astropy.wcs.Wcsprm.lngtyp`', 'members can be used to determine the order of the axes.', '', 'Using the method of fixed-point iterations approximations we', 'iterate starting with the initial approximation, which is', 'computed using the non-distortion-aware', ':py:meth:`wcs_world2pix` (or equivalent).', '', 'The :py:meth:`all_world2pix` function uses a vectorized', 'implementation of the method of consecutive approximations and', 'therefore it is highly efficient (>30x) when *all* data points', 'that need to be converted from sky coordinates to image', 'coordinates are passed at *once*. Therefore, it is advisable,', 'whenever possible, to pass as input a long array of all points', 'that need to be converted to :py:meth:`all_world2pix` instead', 'of calling :py:meth:`all_world2pix` for each data point. Also', 'see the note to the ``adaptive`` parameter.', '', '.. rubric:: Examples', '', '', '>>> import astropy.io.fits as fits', '>>> import astropy.wcs as wcs', '>>> import numpy as np', '>>> import os', '', ">>> filename = os.path.join(wcs.__path__[0], 'tests/data/j94f05bgq_flt.fits')", '>>> hdulist = fits.open(filename)', ">>> w = wcs.WCS(hdulist[('sci',1)].header, hdulist)", '>>> hdulist.close()', '', '>>> ra, dec = w.all_pix2world([1,2,3], [1,1,1], 1)', '>>> print(ra) # doctest: +FLOAT_CMP', '[ 5.52645627 5.52649663 5.52653698]', '>>> print(dec) # doctest: +FLOAT_CMP', '[-72.05171757 -72.05171276 -72.05170795]', '>>> radec = w.all_pix2world([[1,1], [2,1], [3,1]], 1)', '>>> print(radec) # doctest: +FLOAT_CMP', '[[ 5.52645627 -72.05171757]', ' [ 5.52649663 -72.05171276]', ' [ 5.52653698 -72.05170795]]', '>>> x, y = w.all_world2pix(ra, dec, 1)', '>>> print(x) # doctest: +FLOAT_CMP', '[ 1.00000238 2.00000237 3.00000236]', '>>> print(y) # doctest: +FLOAT_CMP', '[ 0.99999996 0.99999997 0.99999997]', '>>> xy = w.all_world2pix(radec, 1)', '>>> print(xy) # doctest: +FLOAT_CMP', '[[ 1.00000238 0.99999996]', ' [ 2.00000237 0.99999997]', ' [ 3.00000236 0.99999997]]', '>>> xy = w.all_world2pix(radec, 1, maxiter=3,', '... tolerance=1.0e-10, quiet=False)', 'Traceback (most recent call last):', '...', "NoConvergence: 'WCS.all_world2pix' failed to converge to the", 'requested accuracy. After 3 iterations, the solution is', 'diverging at least for one input point.', '', '>>> # Now try to use some diverging data:', '>>> divradec = w.all_pix2world([[1.0, 1.0],', '... [10000.0, 50000.0],', '... [3.0, 1.0]], 1)', '>>> print(divradec) # doctest: +FLOAT_CMP', '[[ 5.52645627 -72.05171757]', ' [ 7.15976932 -70.8140779 ]', ' [ 5.52653698 -72.05170795]]', '', '>>> # First, turn detect_divergence on:', '>>> try: # doctest: +FLOAT_CMP', '... xy = w.all_world2pix(divradec, 1, maxiter=20,', '... tolerance=1.0e-4, adaptive=False,', '... detect_divergence=True,', '... quiet=False)', '... except wcs.wcs.NoConvergence as e:', '... print("Indices of diverging points: {0}"', '... .format(e.divergent))', '... print("Indices of poorly converging points: {0}"', '... .format(e.slow_conv))', '... print("Best solution:\\n{0}".format(e.best_solution))', '... print("Achieved accuracy:\\n{0}".format(e.accuracy))', 'Indices of diverging points: [1]', 'Indices of poorly converging points: None', 'Best solution:', '[[ 1.00000238e+00 9.99999965e-01]', ' [ -1.99441636e+06 1.44309097e+06]', ' [ 3.00000236e+00 9.99999966e-01]]', 'Achieved accuracy:', '[[ 6.13968380e-05 8.59638593e-07]', ' [ 8.59526812e+11 6.61713548e+11]', ' [ 6.09398446e-05 8.38759724e-07]]', '>>> raise e', 'Traceback (most recent call last):', '...', "NoConvergence: 'WCS.all_world2pix' failed to converge to the", 'requested accuracy. After 5 iterations, the solution is', 'diverging at least for one input point.', '', '>>> # This time turn detect_divergence off:', '>>> try: # doctest: +FLOAT_CMP', '... xy = w.all_world2pix(divradec, 1, maxiter=20,', '... tolerance=1.0e-4, adaptive=False,', '... detect_divergence=False,', '... quiet=False)', '... except wcs.wcs.NoConvergence as e:', '... print("Indices of diverging points: {0}"', '... .format(e.divergent))', '... print("Indices of poorly converging points: {0}"', '... .format(e.slow_conv))', '... print("Best solution:\\n{0}".format(e.best_solution))', '... print("Achieved accuracy:\\n{0}".format(e.accuracy))', 'Indices of diverging points: [1]', 'Indices of poorly converging points: None', 'Best solution:', '[[ 1.00000009 1. ]', ' [ nan nan]', ' [ 3.00000009 1. ]]', 'Achieved accuracy:', '[[ 2.29417358e-06 3.21222995e-08]', ' [ nan nan]', ' [ 2.27407877e-06 3.13005639e-08]]', '>>> raise e', 'Traceback (most recent call last):', '...', "NoConvergence: 'WCS.all_world2pix' failed to converge to the", 'requested accuracy. After 6 iterations, the solution is', 'diverging at least for one input point.']:177: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.wcs.WCS.rst:18: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.wcs.WCS.rst:30: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.wcs.WCS.rst:4: WARNING: py:mod reference target not found: copy /<>/docs/api/astropy.wcs.WCS.rst:4: WARNING: py:mod reference target not found: copy /<>/docs/api/astropy.wcs.WCS.rst:15: WARNING: py:obj reference target not found: False /<>/docs/api/astropy.wcs.WCS.rst:12: WARNING: py:obj reference target not found: set /<>/docs/api/astropy.wcs.WCS.rst:14: WARNING: py:obj reference target not found: False /<>/docs/api/astropy.wcs.WCS.rst:17: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.wcs.WCS.rst:20: WARNING: py:obj reference target not found: int /<>/docs/api/astropy.wcs.WCS.rst:20: WARNING: py:obj reference target not found: False /<>/docs/api/astropy.wcs.WCS.rst:23: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.wcs.WCS.rst:26: WARNING: py:obj reference target not found: int /<>/docs/api/astropy.wcs.WCS.rst:33: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.wcs.WCS.rst:33: WARNING: py:obj reference target not found: False /<>/docs/api/astropy.wcs.WCS.rst:28: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.wcs.WCS.rst:28: WARNING: py:obj reference target not found: False wcs/references.txt:4: WARNING: py:class reference target not found: object /<>/docs/api/astropy.wcs.WCSBase.rst:10: WARNING: py:obj reference target not found: None wcs/references.txt:4: WARNING: py:class reference target not found: object /<>/docs/api/astropy.wcs.Wcsprm.rst:20: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.wcs.Wcsprm.rst:35: WARNING: py:obj reference target not found: False /<>/docs/api/astropy.wcs.Wcsprm.rst:38: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.wcs.Wcsprm.rst:41: WARNING: py:obj reference target not found: int /<>/docs/api/astropy.wcs.Wcsprm.rst:46: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.wcs.Wcsprm.rst:65: WARNING: py:obj reference target not found: None /<>/docs/api/astropy.wcs.Wcsprm.rst:1: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.wcs.Wcsprm.rst:1: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.wcs.Wcsprm.rst:1: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.wcs.Wcsprm.rst:1: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.wcs.Wcsprm.rst:4: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.wcs.Wcsprm.rst:4: WARNING: py:obj reference target not found: False /<>/docs/api/astropy.wcs.Wcsprm.rst:8: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.wcs.Wcsprm.rst:8: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.wcs.Wcsprm.rst:13: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.wcs.Wcsprm.rst:13: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.wcs.Wcsprm.rst:6: WARNING: py:obj reference target not found: ValueError internal padding after wcs/references.txt:6: WARNING: py:obj reference target not found: True internal padding after wcs/references.txt:6: WARNING: py:obj reference target not found: True internal padding after wcs/references.txt:6: WARNING: py:obj reference target not found: True internal padding after wcs/references.txt:6: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.wcs.Wcsprm.rst:6: WARNING: py:obj reference target not found: repr /<>/docs/api/astropy.wcs.Wcsprm.rst:56: WARNING: py:obj reference target not found: False /<>/docs/api/astropy.wcs.Wcsprm.rst:59: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.wcs.Wcsprm.rst:62: WARNING: py:obj reference target not found: int /<>/docs/api/astropy.wcs.find_all_wcs.rst:12: WARNING: py:obj reference target not found: True /<>/docs/api/astropy.wcs.find_all_wcs.rst:15: WARNING: py:obj reference target not found: False /<>/docs/api/astropy.wcs.find_all_wcs.rst:18: WARNING: py:obj reference target not found: int ["find_all_wcs(header, relax=True, keysel=None, fix=True, translate_units='', _do_set=True)", ':module: astropy.wcs', '', '', '', 'Find all the WCS transformations in the given header.', '', '', ':Parameters:', '', ' **header** : str or astropy.io.fits header object.', '', ' ', '', ' **relax** : bool or int, optional', '', ' Degree of permissiveness:', ' ', ' - `True` (default): Admit all recognized informal extensions of the', ' WCS standard.', ' ', ' - `False`: Recognize only FITS keywords defined by the', ' published WCS standard.', ' ', ' - `int`: a bit field selecting specific extensions to accept.', ' See :ref:`relaxread` for details.', ' ', '', ' **keysel** : sequence of flags, optional', '', ' A list of flags used to select the keyword types considered by', ' wcslib. When ``None``, only the standard image header', ' keywords are considered (and the underlying wcspih() C', ' function is called). To use binary table image array or pixel', ' list keywords, *keysel* must be set.', ' ', ' Each element in the list should be one of the following strings:', ' ', " - 'image': Image header keywords", ' ', " - 'binary': Binary table image array keywords", ' ', " - 'pixel': Pixel list keywords", ' ', ' Keywords such as ``EQUIna`` or ``RFRQna`` that are common to', ' binary table image arrays and pixel lists (including', " ``WCSNna`` and ``TWCSna``) are selected by both 'binary' and", " 'pixel'.", ' ', '', ' **fix** : bool, optional', '', ' When `True` (default), call `~astropy.wcs.Wcsprm.fix` on', ' the resulting objects to fix any non-standard uses in the', ' header. `FITSFixedWarning` warnings will be emitted if any', ' changes were made.', ' ', '', ' **translate_units** : str, optional', '', ' Specify which potentially unsafe translations of non-standard', ' unit strings to perform. By default, performs none. See', ' `WCS.fix` for more information about this parameter. Only', ' effective when ``fix`` is `True`.', '', ':Returns:', '', ' **wcses** : list of `WCS` objects']:45: WARNING: py:obj reference target not found: True ["find_all_wcs(header, relax=True, keysel=None, fix=True, translate_units='', _do_set=True)", ':module: astropy.wcs', '', '', '', 'Find all the WCS transformations in the given header.', '', '', ':Parameters:', '', ' **header** : str or astropy.io.fits header object.', '', ' ', '', ' **relax** : bool or int, optional', '', ' Degree of permissiveness:', ' ', ' - `True` (default): Admit all recognized informal extensions of the', ' WCS standard.', ' ', ' - `False`: Recognize only FITS keywords defined by the', ' published WCS standard.', ' ', ' - `int`: a bit field selecting specific extensions to accept.', ' See :ref:`relaxread` for details.', ' ', '', ' **keysel** : sequence of flags, optional', '', ' A list of flags used to select the keyword types considered by', ' wcslib. When ``None``, only the standard image header', ' keywords are considered (and the underlying wcspih() C', ' function is called). To use binary table image array or pixel', ' list keywords, *keysel* must be set.', ' ', ' Each element in the list should be one of the following strings:', ' ', " - 'image': Image header keywords", ' ', " - 'binary': Binary table image array keywords", ' ', " - 'pixel': Pixel list keywords", ' ', ' Keywords such as ``EQUIna`` or ``RFRQna`` that are common to', ' binary table image arrays and pixel lists (including', " ``WCSNna`` and ``TWCSna``) are selected by both 'binary' and", " 'pixel'.", ' ', '', ' **fix** : bool, optional', '', ' When `True` (default), call `~astropy.wcs.Wcsprm.fix` on', ' the resulting objects to fix any non-standard uses in the', ' header. `FITSFixedWarning` warnings will be emitted if any', ' changes were made.', ' ', '', ' **translate_units** : str, optional', '', ' Specify which potentially unsafe translations of non-standard', ' unit strings to perform. By default, performs none. See', ' `WCS.fix` for more information about this parameter. Only', ' effective when ``fix`` is `True`.', '', ':Returns:', '', ' **wcses** : list of `WCS` objects']:52: WARNING: py:obj reference target not found: True wcs/references.txt:4: WARNING: py:class reference target not found: object internal padding after wcs/references.txt:6: WARNING: py:obj reference target not found: False internal padding after wcs/references.txt:6: WARNING: py:obj reference target not found: True ['is_proj_plane_distorted(wcs, maxerr=1e-05)', ':module: astropy.wcs.utils', '', '', '', 'For a WCS returns `False` if square image (detector) pixels stay square', 'when projected onto the "plane of intermediate world coordinates"', 'as defined in', '`Greisen & Calabretta 2002, A&A, 395, 1061 `_.', 'It will return `True` if transformation from image (detector) coordinates', 'to the focal plane coordinates is non-orthogonal or if WCS contains', 'non-linear (e.g., SIP) distortions.', '', '.. note::', ' Since this function is concerned **only** about the transformation', ' "image plane"->"focal plane" and **not** about the transformation', ' "celestial sphere"->"focal plane"->"image plane",', ' this function ignores distortions arising due to non-linear nature', ' of most projections.', '', "Let's denote by *C* either the original or the reconstructed", '(from ``PC`` and ``CDELT``) CD matrix. `is_proj_plane_distorted`', 'verifies that the transformation from image (detector) coordinates', 'to the focal plane coordinates is orthogonal using the following', 'check:', '', '.. math::', ' \\left \\| \\frac{C \\cdot C^{\\mathrm{T}}}', ' {| det(C)|} - I \\right \\|_{\\mathrm{max}} < \\epsilon .', '', ':Parameters:', '', ' **wcs** : `~astropy.wcs.WCS`', '', ' World coordinate system object', ' ', '', ' **maxerr** : float, optional', '', ' Accuracy to which the CD matrix, **normalized** such', ' that :math:`|det(CD)|=1`, should be close to being an', ' orthogonal matrix as described in the above equation', ' (see :math:`\\epsilon`).', '', ':Returns:', '', ' **distorted** : bool', '', ' Returns `True` if focal (projection) plane is distorted and `False`', ' otherwise.']:45: WARNING: py:obj reference target not found: True ['is_proj_plane_distorted(wcs, maxerr=1e-05)', ':module: astropy.wcs.utils', '', '', '', 'For a WCS returns `False` if square image (detector) pixels stay square', 'when projected onto the "plane of intermediate world coordinates"', 'as defined in', '`Greisen & Calabretta 2002, A&A, 395, 1061 `_.', 'It will return `True` if transformation from image (detector) coordinates', 'to the focal plane coordinates is non-orthogonal or if WCS contains', 'non-linear (e.g., SIP) distortions.', '', '.. note::', ' Since this function is concerned **only** about the transformation', ' "image plane"->"focal plane" and **not** about the transformation', ' "celestial sphere"->"focal plane"->"image plane",', ' this function ignores distortions arising due to non-linear nature', ' of most projections.', '', "Let's denote by *C* either the original or the reconstructed", '(from ``PC`` and ``CDELT``) CD matrix. `is_proj_plane_distorted`', 'verifies that the transformation from image (detector) coordinates', 'to the focal plane coordinates is orthogonal using the following', 'check:', '', '.. math::', ' \\left \\| \\frac{C \\cdot C^{\\mathrm{T}}}', ' {| det(C)|} - I \\right \\|_{\\mathrm{max}} < \\epsilon .', '', ':Parameters:', '', ' **wcs** : `~astropy.wcs.WCS`', '', ' World coordinate system object', ' ', '', ' **maxerr** : float, optional', '', ' Accuracy to which the CD matrix, **normalized** such', ' that :math:`|det(CD)|=1`, should be close to being an', ' orthogonal matrix as described in the above equation', ' (see :math:`\\epsilon`).', '', ':Returns:', '', ' **distorted** : bool', '', ' Returns `True` if focal (projection) plane is distorted and `False`', ' otherwise.']:45: WARNING: py:obj reference target not found: False /<>/docs/api/astropy.wcs.utils.non_celestial_pixel_scales.rst:13: WARNING: py:obj reference target not found: numpy.ndarray /<>/docs/api/astropy.wcs.utils.pixel_to_skycoord.rst:7: WARNING: py:obj reference target not found: numpy.ndarray ['proj_plane_pixel_scales(wcs)', ':module: astropy.wcs.utils', '', '', '', 'For a WCS returns pixel scales along each axis of the image pixel at', 'the ``CRPIX`` location once it is projected onto the', '"plane of intermediate world coordinates" as defined in', '`Greisen & Calabretta 2002, A&A, 395, 1061 `_.', '', '.. note::', ' This function is concerned **only** about the transformation', ' "image plane"->"projection plane" and **not** about the', ' transformation "celestial sphere"->"projection plane"->"image plane".', ' Therefore, this function ignores distortions arising due to', ' non-linear nature of most projections.', '', '.. note::', ' In order to compute the scales corresponding to celestial axes only,', ' make sure that the input `~astropy.wcs.WCS` object contains', ' celestial axes only, e.g., by passing in the', ' `~astropy.wcs.WCS.celestial` WCS object.', '', ':Parameters:', '', ' **wcs** : `~astropy.wcs.WCS`', '', ' A world coordinate system object.', '', ':Returns:', '', ' **scale** : `~numpy.ndarray`', '', ' A vector (`~numpy.ndarray`) of projection plane increments', ' corresponding to each pixel side (axis). The units of the returned', ' results are the same as the units of `~astropy.wcs.Wcsprm.cdelt`,', ' `~astropy.wcs.Wcsprm.crval`, and `~astropy.wcs.Wcsprm.cd` for', ' the celestial WCS and can be obtained by inquiring the value', ' of `~astropy.wcs.Wcsprm.cunit` property of the input', ' `~astropy.wcs.WCS` WCS object.', '', '.. seealso::', '', ' ', ' :obj:`astropy.wcs.utils.proj_plane_pixel_area`']:29: WARNING: py:obj reference target not found: numpy.ndarray ['proj_plane_pixel_scales(wcs)', ':module: astropy.wcs.utils', '', '', '', 'For a WCS returns pixel scales along each axis of the image pixel at', 'the ``CRPIX`` location once it is projected onto the', '"plane of intermediate world coordinates" as defined in', '`Greisen & Calabretta 2002, A&A, 395, 1061 `_.', '', '.. note::', ' This function is concerned **only** about the transformation', ' "image plane"->"projection plane" and **not** about the', ' transformation "celestial sphere"->"projection plane"->"image plane".', ' Therefore, this function ignores distortions arising due to', ' non-linear nature of most projections.', '', '.. note::', ' In order to compute the scales corresponding to celestial axes only,', ' make sure that the input `~astropy.wcs.WCS` object contains', ' celestial axes only, e.g., by passing in the', ' `~astropy.wcs.WCS.celestial` WCS object.', '', ':Parameters:', '', ' **wcs** : `~astropy.wcs.WCS`', '', ' A world coordinate system object.', '', ':Returns:', '', ' **scale** : `~numpy.ndarray`', '', ' A vector (`~numpy.ndarray`) of projection plane increments', ' corresponding to each pixel side (axis). The units of the returned', ' results are the same as the units of `~astropy.wcs.Wcsprm.cdelt`,', ' `~astropy.wcs.Wcsprm.crval`, and `~astropy.wcs.Wcsprm.cd` for', ' the celestial WCS and can be obtained by inquiring the value', ' of `~astropy.wcs.Wcsprm.cunit` property of the input', ' `~astropy.wcs.WCS` WCS object.', '', '.. seealso::', '', ' ', ' :obj:`astropy.wcs.utils.proj_plane_pixel_area`']:31: WARNING: py:obj reference target not found: numpy.ndarray ["skycoord_to_pixel(coords, wcs, origin=0, mode='all')", ':module: astropy.wcs.utils', '', '', '', 'Convert a set of SkyCoord coordinates into pixels.', '', '', ':Parameters:', '', ' **coords** : `~astropy.coordinates.SkyCoord`', '', ' The coordinates to convert.', '', ' **wcs** : `~astropy.wcs.WCS`', '', ' The WCS transformation to use.', '', ' **origin** : int', '', ' Whether to return 0 or 1-based pixel coordinates.', '', " **mode** : 'all' or 'wcs'", '', " Whether to do the transformation including distortions (``'all'``) or", " only including only the core WCS transformation (``'wcs'``).", '', ':Returns:', '', ' **xp, yp** : `numpy.ndarray`', '', ' The pixel coordinates', '', '.. seealso::', '', ' ', ' :obj:`astropy.coordinates.SkyCoord.from_pixel`']:26: WARNING: py:obj reference target not found: numpy.ndarray /<>/docs/api/astropy.wcs.utils.wcs_to_celestial_frame.rst:20: WARNING: py:obj reference target not found: None ../CHANGES.rst:5908: WARNING: py:obj reference target not found: False ../CHANGES.rst:5916: WARNING: py:obj reference target not found: repr ../CHANGES.rst:5916: WARNING: py:obj reference target not found: str ../CHANGES.rst:6106: WARNING: py:obj reference target not found: False ../CHANGES.rst:6115: WARNING: py:obj reference target not found: True ../CHANGES.rst:6439: WARNING: py:obj reference target not found: numpy.ndarray ../CHANGES.rst:6443: WARNING: py:obj reference target not found: numpy.ndarray /<>/docs/constants/index.rst:156: WARNING: py:class reference target not found: numpy.ndarray /<>/docs/convolution/index.rst:10: WARNING: py:obj reference target not found: scipy.ndimage /<>/docs/coordinates/angles.rst:166: WARNING: py:obj reference target not found: ValueError /<>/docs/coordinates/formatting.rst:29: WARNING: py:obj reference target not found: format /<>/docs/coordinates/frames.rst:323: WARNING: undefined label: sphx_glr_generated_examples_coordinates_plot_sgr-coordinate-frame.py (if the link has no caption the label must precede a section header) /<>/docs/coordinates/galactocentric.rst:118: WARNING: undefined label: sphx_glr_generated_examples_coordinates_plot_galactocentric-frame.py (if the link has no caption the label must precede a section header) /<>/docs/coordinates/index.rst:55: WARNING: py:obj reference target not found: numpy.ndarray /<>/docs/coordinates/index.rst:139: WARNING: undefined label: sphx_glr_generated_examples_coordinates_plot_obs-planning.py (if the link has no caption the label must precede a section header) /<>/docs/coordinates/index.rst:329: WARNING: undefined label: sphx_glr_generated_examples_coordinates_plot_obs-planning.py (if the link has no caption the label must precede a section header) /<>/docs/coordinates/index.rst:1: WARNING: py:obj reference target not found: collections.namedtuple /<>/docs/coordinates/index.rst:432: WARNING: py:class reference target not found: numpy.ndarray /<>/docs/coordinates/representations.rst:54: WARNING: py:obj reference target not found: numpy.ndarray /<>/docs/coordinates/representations.rst:112: WARNING: py:obj reference target not found: numpy.ndarray /<>/docs/coordinates/skycoord.rst:287: WARNING: py:obj reference target not found: numpy.ndarray /<>/docs/coordinates/skycoord.rst:306: WARNING: py:obj reference target not found: numpy.ndarray /<>/docs/coordinates/skycoord.rst:306: WARNING: py:func reference target not found: numpy.reshape /<>/docs/coordinates/skycoord.rst:862: WARNING: py:obj reference target not found: numpy.random.multivariate_normal /<>/docs/development/building.rst:60: WARNING: py:func reference target not found: distutils.core.setup /<>/docs/development/building.rst:74: WARNING: py:obj reference target not found: distutils.core.Extension /<>/docs/development/building.rst:88: WARNING: py:obj reference target not found: True /<>/docs/development/building.rst:106: WARNING: py:obj reference target not found: True /<>/docs/development/ccython.rst:7: WARNING: py:obj reference target not found: distutils.core.Extension /<>/docs/development/ccython.rst:28: WARNING: py:class reference target not found: distutils.core.Extension /<>/docs/development/ccython.rst:36: WARNING: py:obj reference target not found: numpy /<>/docs/development/ccython.rst:36: WARNING: py:obj reference target not found: distutils.core.Extension /<>/docs/development/ccython.rst:74: WARNING: py:obj reference target not found: True /<>/docs/development/ccython.rst:74: WARNING: py:obj reference target not found: False /<>/docs/development/codeguide.rst:140: WARNING: py:obj reference target not found: IOError /<>/docs/development/codeguide.rst:140: WARNING: py:obj reference target not found: ValueError /<>/docs/development/codeguide.rst:202: WARNING: py:class reference target not found: object /<>/docs/development/codeguide.rst:207: WARNING: py:func reference target not found: super /<>/docs/development/codeguide.rst:207: WARNING: py:func reference target not found: super /<>/docs/development/codeguide.rst:244: WARNING: py:obj reference target not found: False /<>/docs/development/codeguide.rst:252: WARNING: py:obj reference target not found: str /<>/docs/development/codeguide.rst:252: WARNING: py:obj reference target not found: str /<>/docs/development/codeguide.rst:252: WARNING: py:obj reference target not found: bytes /<>/docs/development/codeguide.rst:266: WARNING: py:obj reference target not found: False /<>/docs/development/codeguide.rst:266: WARNING: py:obj reference target not found: True /<>/docs/development/codeguide.rst:271: WARNING: py:obj reference target not found: False /<>/docs/development/codeguide.rst:271: WARNING: py:obj reference target not found: True /<>/docs/development/codeguide.rst:447: WARNING: py:obj reference target not found: struct /<>/docs/development/codeguide.rst:457: WARNING: py:obj reference target not found: zip /<>/docs/development/codeguide.rst:457: WARNING: py:obj reference target not found: range /<>/docs/development/codeguide.rst:457: WARNING: py:obj reference target not found: map /<>/docs/development/codeguide.rst:602: WARNING: py:func reference target not found: super /<>/docs/development/codeguide.rst:655: WARNING: py:func reference target not found: super /<>/docs/development/codeguide.rst:655: WARNING: py:func reference target not found: super /<>/docs/development/codeguide.rst:694: WARNING: py:func reference target not found: super /<>/docs/development/codeguide.rst:703: WARNING: py:func reference target not found: super /<>/docs/development/codeguide.rst:771: WARNING: py:obj reference target not found: TypeError /<>/docs/development/docguide.rst:97: WARNING: py:obj reference target not found: sphinx_automodapi.automodapi /<>/docs/development/docguide.rst:97: WARNING: py:obj reference target not found: sphinx_automodapi.automodsumm /<>/docs/development/scripts.rst:18: WARNING: py:mod reference target not found: argparse /<>/docs/development/scripts.rst:18: WARNING: py:mod reference target not found: optparse /<>/docs/development/scripts.rst:18: WARNING: py:mod reference target not found: argparse /<>/docs/development/testguide.rst:25: WARNING: py:obj reference target not found: int /<>/docs/development/testguide.rst:30: WARNING: py:obj reference target not found: bool /<>/docs/development/testguide.rst:32: WARNING: py:obj reference target not found: True /<>/docs/development/testguide.rst:47: WARNING: py:obj reference target not found: pytest.main /<>/docs/development/testguide.rst:604: WARNING: py:obj reference target not found: warnings.catch_warnings /<>/docs/development/testguide.rst:653: WARNING: py:obj reference target not found: bytes /<>/docs/development/testguide.rst:662: WARNING: py:obj reference target not found: bytes /<>/docs/development/testguide.rst:766: WARNING: py:mod reference target not found: doctest /<>/docs/development/testguide.rst:771: WARNING: py:mod reference target not found: doctest /<>/docs/development/testguide.rst:891: WARNING: py:mod reference target not found: doctest /<>/docs/development/testguide.rst:931: WARNING: py:obj reference target not found: float /<>/docs/development/workflow/git_edit_workflow_examples.rst:417: WARNING: py:obj reference target not found: TypeError /<>/docs/development/workflow/git_edit_workflow_examples.rst:430: WARNING: py:obj reference target not found: TypeError /<>/docs/io/ascii/base_classes.rst:16: WARNING: py:obj reference target not found: numpy /<>/docs/io/ascii/write.rst:53: WARNING: py:obj reference target not found: numpy /<>/docs/io/fits/api/cards.rst:19: WARNING: py:obj reference target not found: None ['Card.is_blank', ':module: astropy.io.fits', '', '`True` if the card is completely blank--that is, it has no keyword,', 'value, or comment. It appears in the header as 80 spaces.', '', 'Returns `False` otherwise.']:3: WARNING: py:obj reference target not found: True ['Card.is_blank', ':module: astropy.io.fits', '', '`True` if the card is completely blank--that is, it has no keyword,', 'value, or comment. It appears in the header as 80 spaces.', '', 'Returns `False` otherwise.']:6: WARNING: py:obj reference target not found: False ['Card.normalize_keyword(keyword)', ':module: astropy.io.fits', '', '`classmethod` to convert a keyword value that may contain a', 'field-specifier to uppercase. The effect is to raise the key to', 'uppercase and leave the field specifier in its original case.', '', ':Parameters:', '', ' **key** : or str', '', ' A keyword value or a ``keyword.field-specifier`` value']:3: WARNING: py:obj reference target not found: classmethod ['FITSDiff(a, b, ignore_keywords=[], ignore_comments=[], ignore_fields=[], numdiffs=10, rtol=0.0, atol=0.0, ignore_blanks=True, ignore_blank_cards=True, tolerance=None)', ':module: astropy.io.fits', '', 'Bases: :class:`astropy.io.fits.diff._BaseDiff`', '', '', '', 'Diff two FITS files by filename, or two `HDUList` objects.', '', '`FITSDiff` objects have the following diff attributes:', '', '- ``diff_hdu_count``: If the FITS files being compared have different', ' numbers of HDUs, this contains a 2-tuple of the number of HDUs in each', ' file.', '', '- ``diff_hdus``: If any HDUs with the same index are different, this', ' contains a list of 2-tuples of the HDU index and the `HDUDiff` object', ' representing the differences between the two HDUs.', '', '', '', '', '', '', ':Parameters:', '', ' **a** : str or `HDUList`', '', ' The filename of a FITS file on disk, or an `HDUList` object.', ' ', '', ' **b** : str or `HDUList`', '', ' The filename of a FITS file on disk, or an `HDUList` object to', ' compare to the first file.', ' ', '', ' **ignore_keywords** : sequence, optional', '', ' Header keywords to ignore when comparing two headers; the presence', ' of these keywords and their values are ignored. Wildcard strings', ' may also be included in the list.', ' ', '', ' **ignore_comments** : sequence, optional', '', ' A list of header keywords whose comments should be ignored in the', ' comparison. May contain wildcard strings as with ignore_keywords.', ' ', '', ' **ignore_fields** : sequence, optional', '', ' The (case-insensitive) names of any table columns to ignore if any', ' table data is to be compared.', ' ', '', ' **numdiffs** : int, optional', '', ' The number of pixel/table values to output when reporting HDU data', ' differences. Though the count of differences is the same either', ' way, this allows controlling the number of different values that', ' are kept in memory or output. If a negative value is given, then', ' numdiffs is treated as unlimited (default: 10).', ' ', '', ' **rtol** : float, optional', '', ' The relative difference to allow when comparing two float values', ' either in header values, image arrays, or table columns', ' (default: 0.0). Values which satisfy the expression', ' ', ' .. math::', ' ', ' \\left| a - b \\right| > \\text{atol} + \\text{rtol} \\cdot \\left| b \\right|', ' ', ' are considered to be different.', ' The underlying function used for comparison is `numpy.allclose`.', ' ', ' .. versionchanged:: 2.0', ' ``rtol`` replaces the deprecated ``tolerance`` argument.', ' ', '', ' **atol** : float, optional', '', ' The allowed absolute difference. See also ``rtol`` parameter.', ' ', ' .. versionadded:: 2.0', ' ', '', ' **ignore_blanks** : bool, optional', '', ' Ignore extra whitespace at the end of string values either in', ' headers or data. Extra leading whitespace is not ignored', ' (default: True).', ' ', '', ' **ignore_blank_cards** : bool, optional', '', ' Ignore all cards that are blank, i.e. they only contain', ' whitespace (default: True).', '', '', '.. py:method:: FITSDiff.fromdiff(other, a, b)', ' :module: astropy.io.fits', '', ' ', ' ', ' Returns a new Diff object of a specific subclass from an existing diff', ' object, passing on the values for any arguments they share in common', ' (such as ignore_keywords).', ' ', ' For example::', ' ', ' >>> from astropy.io import fits', ' >>> hdul1, hdul2 = fits.HDUList(), fits.HDUList()', ' >>> headera, headerb = fits.Header(), fits.Header()', " >>> fd = fits.FITSDiff(hdul1, hdul2, ignore_keywords=['*'])", ' >>> hd = fits.HeaderDiff.fromdiff(fd, headera, headerb)', ' >>> list(hd.ignore_keywords)', " ['*']", ' ', '', '.. py:attribute:: FITSDiff.identical', ' :module: astropy.io.fits', '', ' ', ' ', ' `True` if all the ``.diff_*`` attributes on this diff instance are', ' empty, implying that no differences were found.', ' ', ' Any subclass of ``_BaseDiff`` must have at least one ``.diff_*``', ' attribute, which contains a non-empty value if and only if some', ' difference was found between the two objects being compared.', ' ', '', '.. py:method:: FITSDiff.report(fileobj=None, indent=0, overwrite=False)', ' :module: astropy.io.fits', '', ' ', ' ', ' Generates a text report on the differences (if any) between two', ' objects, and either returns it as a string or writes it to a file-like', ' object.', ' ', ' ', ' :Parameters:', ' ', ' **fileobj** : file-like object, string, or None (optional)', ' ', ' If `None`, this method returns the report as a string. Otherwise it', ' returns `None` and writes the report to the given file-like object', ' (which must have a ``.write()`` method at a minimum), or to a new', ' file at the path specified.', ' ', ' ', ' **indent** : int', ' ', ' The number of 4 space tabs to indent the report.', ' ', ' ', ' **overwrite** : bool, optional', ' ', ' If ``True``, overwrite the output file if it exists. Raises an', ' ``OSError`` (``IOError`` for Python 2) if ``False`` and the', ' output file exists. Default is ``False``.', ' ', ' .. versionchanged:: 1.3', ' ``overwrite`` replaces the deprecated ``clobber`` argument.', ' ', ' :Returns:', ' ', ' **report** : str or None']:62: WARNING: py:obj reference target not found: numpy.allclose ['FITSDiff.identical', ':module: astropy.io.fits', '', '`True` if all the ``.diff_*`` attributes on this diff instance are', 'empty, implying that no differences were found.', '', 'Any subclass of ``_BaseDiff`` must have at least one ``.diff_*``', 'attribute, which contains a non-empty value if and only if some', 'difference was found between the two objects being compared.']:3: WARNING: py:obj reference target not found: True ['FITSDiff.report(fileobj=None, indent=0, overwrite=False)', ':module: astropy.io.fits', '', 'Generates a text report on the differences (if any) between two', 'objects, and either returns it as a string or writes it to a file-like', 'object.', '', ':Parameters:', '', ' **fileobj** : file-like object, string, or None (optional)', '', ' If `None`, this method returns the report as a string. Otherwise it', ' returns `None` and writes the report to the given file-like object', ' (which must have a ``.write()`` method at a minimum), or to a new', ' file at the path specified.', '', ' **indent** : int', '', ' The number of 4 space tabs to indent the report.', '', ' **overwrite** : bool, optional', '', ' If ``True``, overwrite the output file if it exists. Raises an', ' ``OSError`` (``IOError`` for Python 2) if ``False`` and the', ' output file exists. Default is ``False``.', '', ' .. versionchanged:: 1.3', ' ``overwrite`` replaces the deprecated ``clobber`` argument.', '', ':Returns:', '', ' **report** : str or None']:11: WARNING: py:obj reference target not found: None ['FITSDiff.report(fileobj=None, indent=0, overwrite=False)', ':module: astropy.io.fits', '', 'Generates a text report on the differences (if any) between two', 'objects, and either returns it as a string or writes it to a file-like', 'object.', '', ':Parameters:', '', ' **fileobj** : file-like object, string, or None (optional)', '', ' If `None`, this method returns the report as a string. Otherwise it', ' returns `None` and writes the report to the given file-like object', ' (which must have a ``.write()`` method at a minimum), or to a new', ' file at the path specified.', '', ' **indent** : int', '', ' The number of 4 space tabs to indent the report.', '', ' **overwrite** : bool, optional', '', ' If ``True``, overwrite the output file if it exists. Raises an', ' ``OSError`` (``IOError`` for Python 2) if ``False`` and the', ' output file exists. Default is ``False``.', '', ' .. versionchanged:: 1.3', ' ``overwrite`` replaces the deprecated ``clobber`` argument.', '', ':Returns:', '', ' **report** : str or None']:11: WARNING: py:obj reference target not found: None /<>/docs/io/fits/api/diff.rst:59: WARNING: py:obj reference target not found: True ['HDUDiff.report(fileobj=None, indent=0, overwrite=False)', ':module: astropy.io.fits', '', 'Generates a text report on the differences (if any) between two', 'objects, and either returns it as a string or writes it to a file-like', 'object.', '', ':Parameters:', '', ' **fileobj** : file-like object, string, or None (optional)', '', ' If `None`, this method returns the report as a string. Otherwise it', ' returns `None` and writes the report to the given file-like object', ' (which must have a ``.write()`` method at a minimum), or to a new', ' file at the path specified.', '', ' **indent** : int', '', ' The number of 4 space tabs to indent the report.', '', ' **overwrite** : bool, optional', '', ' If ``True``, overwrite the output file if it exists. Raises an', ' ``OSError`` (``IOError`` for Python 2) if ``False`` and the', ' output file exists. Default is ``False``.', '', ' .. versionchanged:: 1.3', ' ``overwrite`` replaces the deprecated ``clobber`` argument.', '', ':Returns:', '', ' **report** : str or None']:11: WARNING: py:obj reference target not found: None ['HDUDiff.report(fileobj=None, indent=0, overwrite=False)', ':module: astropy.io.fits', '', 'Generates a text report on the differences (if any) between two', 'objects, and either returns it as a string or writes it to a file-like', 'object.', '', ':Parameters:', '', ' **fileobj** : file-like object, string, or None (optional)', '', ' If `None`, this method returns the report as a string. Otherwise it', ' returns `None` and writes the report to the given file-like object', ' (which must have a ``.write()`` method at a minimum), or to a new', ' file at the path specified.', '', ' **indent** : int', '', ' The number of 4 space tabs to indent the report.', '', ' **overwrite** : bool, optional', '', ' If ``True``, overwrite the output file if it exists. Raises an', ' ``OSError`` (``IOError`` for Python 2) if ``False`` and the', ' output file exists. Default is ``False``.', '', ' .. versionchanged:: 1.3', ' ``overwrite`` replaces the deprecated ``clobber`` argument.', '', ':Returns:', '', ' **report** : str or None']:11: WARNING: py:obj reference target not found: None ['HeaderDiff.identical', ':module: astropy.io.fits', '', '`True` if all the ``.diff_*`` attributes on this diff instance are', 'empty, implying that no differences were found.', '', 'Any subclass of ``_BaseDiff`` must have at least one ``.diff_*``', 'attribute, which contains a non-empty value if and only if some', 'difference was found between the two objects being compared.']:3: WARNING: py:obj reference target not found: True ['HeaderDiff.report(fileobj=None, indent=0, overwrite=False)', ':module: astropy.io.fits', '', 'Generates a text report on the differences (if any) between two', 'objects, and either returns it as a string or writes it to a file-like', 'object.', '', ':Parameters:', '', ' **fileobj** : file-like object, string, or None (optional)', '', ' If `None`, this method returns the report as a string. Otherwise it', ' returns `None` and writes the report to the given file-like object', ' (which must have a ``.write()`` method at a minimum), or to a new', ' file at the path specified.', '', ' **indent** : int', '', ' The number of 4 space tabs to indent the report.', '', ' **overwrite** : bool, optional', '', ' If ``True``, overwrite the output file if it exists. Raises an', ' ``OSError`` (``IOError`` for Python 2) if ``False`` and the', ' output file exists. Default is ``False``.', '', ' .. versionchanged:: 1.3', ' ``overwrite`` replaces the deprecated ``clobber`` argument.', '', ':Returns:', '', ' **report** : str or None']:11: WARNING: py:obj reference target not found: None ['HeaderDiff.report(fileobj=None, indent=0, overwrite=False)', ':module: astropy.io.fits', '', 'Generates a text report on the differences (if any) between two', 'objects, and either returns it as a string or writes it to a file-like', 'object.', '', ':Parameters:', '', ' **fileobj** : file-like object, string, or None (optional)', '', ' If `None`, this method returns the report as a string. Otherwise it', ' returns `None` and writes the report to the given file-like object', ' (which must have a ``.write()`` method at a minimum), or to a new', ' file at the path specified.', '', ' **indent** : int', '', ' The number of 4 space tabs to indent the report.', '', ' **overwrite** : bool, optional', '', ' If ``True``, overwrite the output file if it exists. Raises an', ' ``OSError`` (``IOError`` for Python 2) if ``False`` and the', ' output file exists. Default is ``False``.', '', ' .. versionchanged:: 1.3', ' ``overwrite`` replaces the deprecated ``clobber`` argument.', '', ':Returns:', '', ' **report** : str or None']:11: WARNING: py:obj reference target not found: None ['ImageDataDiff.identical', ':module: astropy.io.fits', '', '`True` if all the ``.diff_*`` attributes on this diff instance are', 'empty, implying that no differences were found.', '', 'Any subclass of ``_BaseDiff`` must have at least one ``.diff_*``', 'attribute, which contains a non-empty value if and only if some', 'difference was found between the two objects being compared.']:3: WARNING: py:obj reference target not found: True ['ImageDataDiff.report(fileobj=None, indent=0, overwrite=False)', ':module: astropy.io.fits', '', 'Generates a text report on the differences (if any) between two', 'objects, and either returns it as a string or writes it to a file-like', 'object.', '', ':Parameters:', '', ' **fileobj** : file-like object, string, or None (optional)', '', ' If `None`, this method returns the report as a string. Otherwise it', ' returns `None` and writes the report to the given file-like object', ' (which must have a ``.write()`` method at a minimum), or to a new', ' file at the path specified.', '', ' **indent** : int', '', ' The number of 4 space tabs to indent the report.', '', ' **overwrite** : bool, optional', '', ' If ``True``, overwrite the output file if it exists. Raises an', ' ``OSError`` (``IOError`` for Python 2) if ``False`` and the', ' output file exists. Default is ``False``.', '', ' .. versionchanged:: 1.3', ' ``overwrite`` replaces the deprecated ``clobber`` argument.', '', ':Returns:', '', ' **report** : str or None']:11: WARNING: py:obj reference target not found: None ['ImageDataDiff.report(fileobj=None, indent=0, overwrite=False)', ':module: astropy.io.fits', '', 'Generates a text report on the differences (if any) between two', 'objects, and either returns it as a string or writes it to a file-like', 'object.', '', ':Parameters:', '', ' **fileobj** : file-like object, string, or None (optional)', '', ' If `None`, this method returns the report as a string. Otherwise it', ' returns `None` and writes the report to the given file-like object', ' (which must have a ``.write()`` method at a minimum), or to a new', ' file at the path specified.', '', ' **indent** : int', '', ' The number of 4 space tabs to indent the report.', '', ' **overwrite** : bool, optional', '', ' If ``True``, overwrite the output file if it exists. Raises an', ' ``OSError`` (``IOError`` for Python 2) if ``False`` and the', ' output file exists. Default is ``False``.', '', ' .. versionchanged:: 1.3', ' ``overwrite`` replaces the deprecated ``clobber`` argument.', '', ':Returns:', '', ' **report** : str or None']:11: WARNING: py:obj reference target not found: None /<>/docs/io/fits/api/diff.rst:52: WARNING: py:obj reference target not found: True ['RawDataDiff.report(fileobj=None, indent=0, overwrite=False)', ':module: astropy.io.fits', '', 'Generates a text report on the differences (if any) between two', 'objects, and either returns it as a string or writes it to a file-like', 'object.', '', ':Parameters:', '', ' **fileobj** : file-like object, string, or None (optional)', '', ' If `None`, this method returns the report as a string. Otherwise it', ' returns `None` and writes the report to the given file-like object', ' (which must have a ``.write()`` method at a minimum), or to a new', ' file at the path specified.', '', ' **indent** : int', '', ' The number of 4 space tabs to indent the report.', '', ' **overwrite** : bool, optional', '', ' If ``True``, overwrite the output file if it exists. Raises an', ' ``OSError`` (``IOError`` for Python 2) if ``False`` and the', ' output file exists. Default is ``False``.', '', ' .. versionchanged:: 1.3', ' ``overwrite`` replaces the deprecated ``clobber`` argument.', '', ':Returns:', '', ' **report** : str or None']:11: WARNING: py:obj reference target not found: None ['RawDataDiff.report(fileobj=None, indent=0, overwrite=False)', ':module: astropy.io.fits', '', 'Generates a text report on the differences (if any) between two', 'objects, and either returns it as a string or writes it to a file-like', 'object.', '', ':Parameters:', '', ' **fileobj** : file-like object, string, or None (optional)', '', ' If `None`, this method returns the report as a string. Otherwise it', ' returns `None` and writes the report to the given file-like object', ' (which must have a ``.write()`` method at a minimum), or to a new', ' file at the path specified.', '', ' **indent** : int', '', ' The number of 4 space tabs to indent the report.', '', ' **overwrite** : bool, optional', '', ' If ``True``, overwrite the output file if it exists. Raises an', ' ``OSError`` (``IOError`` for Python 2) if ``False`` and the', ' output file exists. Default is ``False``.', '', ' .. versionchanged:: 1.3', ' ``overwrite`` replaces the deprecated ``clobber`` argument.', '', ':Returns:', '', ' **report** : str or None']:11: WARNING: py:obj reference target not found: None ['TableDataDiff.identical', ':module: astropy.io.fits', '', '`True` if all the ``.diff_*`` attributes on this diff instance are', 'empty, implying that no differences were found.', '', 'Any subclass of ``_BaseDiff`` must have at least one ``.diff_*``', 'attribute, which contains a non-empty value if and only if some', 'difference was found between the two objects being compared.']:3: WARNING: py:obj reference target not found: True ['TableDataDiff.report(fileobj=None, indent=0, overwrite=False)', ':module: astropy.io.fits', '', 'Generates a text report on the differences (if any) between two', 'objects, and either returns it as a string or writes it to a file-like', 'object.', '', ':Parameters:', '', ' **fileobj** : file-like object, string, or None (optional)', '', ' If `None`, this method returns the report as a string. Otherwise it', ' returns `None` and writes the report to the given file-like object', ' (which must have a ``.write()`` method at a minimum), or to a new', ' file at the path specified.', '', ' **indent** : int', '', ' The number of 4 space tabs to indent the report.', '', ' **overwrite** : bool, optional', '', ' If ``True``, overwrite the output file if it exists. Raises an', ' ``OSError`` (``IOError`` for Python 2) if ``False`` and the', ' output file exists. Default is ``False``.', '', ' .. versionchanged:: 1.3', ' ``overwrite`` replaces the deprecated ``clobber`` argument.', '', ':Returns:', '', ' **report** : str or None']:11: WARNING: py:obj reference target not found: None ['TableDataDiff.report(fileobj=None, indent=0, overwrite=False)', ':module: astropy.io.fits', '', 'Generates a text report on the differences (if any) between two', 'objects, and either returns it as a string or writes it to a file-like', 'object.', '', ':Parameters:', '', ' **fileobj** : file-like object, string, or None (optional)', '', ' If `None`, this method returns the report as a string. Otherwise it', ' returns `None` and writes the report to the given file-like object', ' (which must have a ``.write()`` method at a minimum), or to a new', ' file at the path specified.', '', ' **indent** : int', '', ' The number of 4 space tabs to indent the report.', '', ' **overwrite** : bool, optional', '', ' If ``True``, overwrite the output file if it exists. Raises an', ' ``OSError`` (``IOError`` for Python 2) if ``False`` and the', ' output file exists. Default is ``False``.', '', ' .. versionchanged:: 1.3', ' ``overwrite`` replaces the deprecated ``clobber`` argument.', '', ':Returns:', '', ' **report** : str or None']:11: WARNING: py:obj reference target not found: None /<>/docs/io/fits/api/files.rst:39: WARNING: py:obj reference target not found: True ["open(name, mode='readonly', memmap=None, save_backup=False, cache=True, lazy_load_hdus=None, **kwargs)", ':module: astropy.io.fits', '', '', '', 'Factory function to open a FITS file and return an `HDUList` object.', '', '', ':Parameters:', '', ' **name** : file path, file object, file-like object or pathlib.Path object', '', ' File to be opened.', ' ', '', ' **mode** : str, optional', '', " Open mode, 'readonly' (default), 'update', 'append', 'denywrite', or", " 'ostream'.", ' ', ' If ``name`` is a file object that is already opened, ``mode`` must', ' match the mode the file was opened with, readonly (rb), update (rb+),', ' append (ab+), ostream (w), denywrite (rb)).', ' ', '', ' **memmap** : bool, optional', '', ' Is memory mapping to be used?', ' ', '', ' **save_backup** : bool, optional', '', ' If the file was opened in update or append mode, this ensures that a', ' backup of the original file is saved before any changes are flushed.', ' The backup has the same name as the original file with ".bak" appended.', ' If "file.bak" already exists then "file.bak.1" is used, and so on.', ' ', '', ' **cache** : bool, optional', '', ' If the file name is a URL, `~astropy.utils.data.download_file` is used', ' to open the file. This specifies whether or not to save the file', " locally in Astropy's download cache (default: `True`).", ' ', '', ' **lazy_load_hdus** : bool, option', '', ' By default `~astropy.io.fits.open` will not read all the HDUs and', ' headers in a FITS file immediately upon opening. This is an', ' optimization especially useful for large files, as FITS has no way', ' of determining the number and offsets of all the HDUs in a file', ' without scanning through the file and reading all the headers.', ' ', ' To disable lazy loading and read all HDUs immediately (the old', ' behavior) use ``lazy_load_hdus=False``. This can lead to fewer', ' surprises--for example with lazy loading enabled, ``len(hdul)``', ' can be slow, as it means the entire FITS file needs to be read in', ' order to determine the number of HDUs. ``lazy_load_hdus=False``', ' ensures that all HDUs have already been loaded after the file has', ' been opened.', ' ', ' .. versionadded:: 1.3', ' ', '', ' **kwargs** : dict, optional', '', ' additional optional keyword arguments, possible values are:', ' ', ' - **uint** : bool', ' ', ' Interpret signed integer data where ``BZERO`` is the', ' central value and ``BSCALE == 1`` as unsigned integer', ' data. For example, ``int16`` data with ``BZERO = 32768``', ' and ``BSCALE = 1`` would be treated as ``uint16`` data.', ' This is enabled by default so that the pseudo-unsigned', ' integer convention is assumed.', ' ', ' Note, for backward compatibility, the kwarg **uint16** may', ' be used instead. The kwarg was renamed when support was', ' added for integers of any size.', ' ', ' - **ignore_missing_end** : bool', ' ', ' Do not issue an exception when opening a file that is', ' missing an ``END`` card in the last header.', ' ', ' - **checksum** : bool, str', ' ', ' If `True`, verifies that both ``DATASUM`` and', ' ``CHECKSUM`` card values (when present in the HDU header)', " match the header and data of all HDU's in the file. Updates to a", ' file that already has a checksum will preserve and update the', ' existing checksums unless this argument is given a value of', " 'remove', in which case the CHECKSUM and DATASUM values are not", ' checked, and are removed when saving changes to the file.', ' ', ' - **disable_image_compression** : bool', ' ', " If `True`, treats compressed image HDU's like normal", " binary table HDU's.", ' ', ' - **do_not_scale_image_data** : bool', ' ', ' If `True`, image data is not scaled using BSCALE/BZERO values', ' when read.', ' ', ' - **ignore_blank** : bool', ' ', ' If `True`, the BLANK keyword is ignored if present.', ' ', ' - **scale_back** : bool', ' ', ' If `True`, when saving changes to a file that contained scaled', ' image data, restore the data to the original type and reapply the', ' original BSCALE/BZERO values. This could lead to loss of accuracy', ' if scaling back to integer values after performing floating point', ' operations on the data.', '', ':Returns:', '', ' **hdulist** : an `HDUList` object', '', ' `HDUList` containing all of the header data units in the', ' file.']:79: WARNING: py:obj reference target not found: True ["open(name, mode='readonly', memmap=None, save_backup=False, cache=True, lazy_load_hdus=None, **kwargs)", ':module: astropy.io.fits', '', '', '', 'Factory function to open a FITS file and return an `HDUList` object.', '', '', ':Parameters:', '', ' **name** : file path, file object, file-like object or pathlib.Path object', '', ' File to be opened.', ' ', '', ' **mode** : str, optional', '', " Open mode, 'readonly' (default), 'update', 'append', 'denywrite', or", " 'ostream'.", ' ', ' If ``name`` is a file object that is already opened, ``mode`` must', ' match the mode the file was opened with, readonly (rb), update (rb+),', ' append (ab+), ostream (w), denywrite (rb)).', ' ', '', ' **memmap** : bool, optional', '', ' Is memory mapping to be used?', ' ', '', ' **save_backup** : bool, optional', '', ' If the file was opened in update or append mode, this ensures that a', ' backup of the original file is saved before any changes are flushed.', ' The backup has the same name as the original file with ".bak" appended.', ' If "file.bak" already exists then "file.bak.1" is used, and so on.', ' ', '', ' **cache** : bool, optional', '', ' If the file name is a URL, `~astropy.utils.data.download_file` is used', ' to open the file. This specifies whether or not to save the file', " locally in Astropy's download cache (default: `True`).", ' ', '', ' **lazy_load_hdus** : bool, option', '', ' By default `~astropy.io.fits.open` will not read all the HDUs and', ' headers in a FITS file immediately upon opening. This is an', ' optimization especially useful for large files, as FITS has no way', ' of determining the number and offsets of all the HDUs in a file', ' without scanning through the file and reading all the headers.', ' ', ' To disable lazy loading and read all HDUs immediately (the old', ' behavior) use ``lazy_load_hdus=False``. This can lead to fewer', ' surprises--for example with lazy loading enabled, ``len(hdul)``', ' can be slow, as it means the entire FITS file needs to be read in', ' order to determine the number of HDUs. ``lazy_load_hdus=False``', ' ensures that all HDUs have already been loaded after the file has', ' been opened.', ' ', ' .. versionadded:: 1.3', ' ', '', ' **kwargs** : dict, optional', '', ' additional optional keyword arguments, possible values are:', ' ', ' - **uint** : bool', ' ', ' Interpret signed integer data where ``BZERO`` is the', ' central value and ``BSCALE == 1`` as unsigned integer', ' data. For example, ``int16`` data with ``BZERO = 32768``', ' and ``BSCALE = 1`` would be treated as ``uint16`` data.', ' This is enabled by default so that the pseudo-unsigned', ' integer convention is assumed.', ' ', ' Note, for backward compatibility, the kwarg **uint16** may', ' be used instead. The kwarg was renamed when support was', ' added for integers of any size.', ' ', ' - **ignore_missing_end** : bool', ' ', ' Do not issue an exception when opening a file that is', ' missing an ``END`` card in the last header.', ' ', ' - **checksum** : bool, str', ' ', ' If `True`, verifies that both ``DATASUM`` and', ' ``CHECKSUM`` card values (when present in the HDU header)', " match the header and data of all HDU's in the file. Updates to a", ' file that already has a checksum will preserve and update the', ' existing checksums unless this argument is given a value of', " 'remove', in which case the CHECKSUM and DATASUM values are not", ' checked, and are removed when saving changes to the file.', ' ', ' - **disable_image_compression** : bool', ' ', " If `True`, treats compressed image HDU's like normal", " binary table HDU's.", ' ', ' - **do_not_scale_image_data** : bool', ' ', ' If `True`, image data is not scaled using BSCALE/BZERO values', ' when read.', ' ', ' - **ignore_blank** : bool', ' ', ' If `True`, the BLANK keyword is ignored if present.', ' ', ' - **scale_back** : bool', ' ', ' If `True`, when saving changes to a file that contained scaled', ' image data, restore the data to the original type and reapply the', ' original BSCALE/BZERO values. This could lead to loss of accuracy', ' if scaling back to integer values after performing floating point', ' operations on the data.', '', ':Returns:', '', ' **hdulist** : an `HDUList` object', '', ' `HDUList` containing all of the header data units in the', ' file.']:89: WARNING: py:obj reference target not found: True ["open(name, mode='readonly', memmap=None, save_backup=False, cache=True, lazy_load_hdus=None, **kwargs)", ':module: astropy.io.fits', '', '', '', 'Factory function to open a FITS file and return an `HDUList` object.', '', '', ':Parameters:', '', ' **name** : file path, file object, file-like object or pathlib.Path object', '', ' File to be opened.', ' ', '', ' **mode** : str, optional', '', " Open mode, 'readonly' (default), 'update', 'append', 'denywrite', or", " 'ostream'.", ' ', ' If ``name`` is a file object that is already opened, ``mode`` must', ' match the mode the file was opened with, readonly (rb), update (rb+),', ' append (ab+), ostream (w), denywrite (rb)).', ' ', '', ' **memmap** : bool, optional', '', ' Is memory mapping to be used?', ' ', '', ' **save_backup** : bool, optional', '', ' If the file was opened in update or append mode, this ensures that a', ' backup of the original file is saved before any changes are flushed.', ' The backup has the same name as the original file with ".bak" appended.', ' If "file.bak" already exists then "file.bak.1" is used, and so on.', ' ', '', ' **cache** : bool, optional', '', ' If the file name is a URL, `~astropy.utils.data.download_file` is used', ' to open the file. This specifies whether or not to save the file', " locally in Astropy's download cache (default: `True`).", ' ', '', ' **lazy_load_hdus** : bool, option', '', ' By default `~astropy.io.fits.open` will not read all the HDUs and', ' headers in a FITS file immediately upon opening. This is an', ' optimization especially useful for large files, as FITS has no way', ' of determining the number and offsets of all the HDUs in a file', ' without scanning through the file and reading all the headers.', ' ', ' To disable lazy loading and read all HDUs immediately (the old', ' behavior) use ``lazy_load_hdus=False``. This can lead to fewer', ' surprises--for example with lazy loading enabled, ``len(hdul)``', ' can be slow, as it means the entire FITS file needs to be read in', ' order to determine the number of HDUs. ``lazy_load_hdus=False``', ' ensures that all HDUs have already been loaded after the file has', ' been opened.', ' ', ' .. versionadded:: 1.3', ' ', '', ' **kwargs** : dict, optional', '', ' additional optional keyword arguments, possible values are:', ' ', ' - **uint** : bool', ' ', ' Interpret signed integer data where ``BZERO`` is the', ' central value and ``BSCALE == 1`` as unsigned integer', ' data. For example, ``int16`` data with ``BZERO = 32768``', ' and ``BSCALE = 1`` would be treated as ``uint16`` data.', ' This is enabled by default so that the pseudo-unsigned', ' integer convention is assumed.', ' ', ' Note, for backward compatibility, the kwarg **uint16** may', ' be used instead. The kwarg was renamed when support was', ' added for integers of any size.', ' ', ' - **ignore_missing_end** : bool', ' ', ' Do not issue an exception when opening a file that is', ' missing an ``END`` card in the last header.', ' ', ' - **checksum** : bool, str', ' ', ' If `True`, verifies that both ``DATASUM`` and', ' ``CHECKSUM`` card values (when present in the HDU header)', " match the header and data of all HDU's in the file. Updates to a", ' file that already has a checksum will preserve and update the', ' existing checksums unless this argument is given a value of', " 'remove', in which case the CHECKSUM and DATASUM values are not", ' checked, and are removed when saving changes to the file.', ' ', ' - **disable_image_compression** : bool', ' ', " If `True`, treats compressed image HDU's like normal", " binary table HDU's.", ' ', ' - **do_not_scale_image_data** : bool', ' ', ' If `True`, image data is not scaled using BSCALE/BZERO values', ' when read.', ' ', ' - **ignore_blank** : bool', ' ', ' If `True`, the BLANK keyword is ignored if present.', ' ', ' - **scale_back** : bool', ' ', ' If `True`, when saving changes to a file that contained scaled', ' image data, restore the data to the original type and reapply the', ' original BSCALE/BZERO values. This could lead to loss of accuracy', ' if scaling back to integer values after performing floating point', ' operations on the data.', '', ':Returns:', '', ' **hdulist** : an `HDUList` object', '', ' `HDUList` containing all of the header data units in the', ' file.']:94: WARNING: py:obj reference target not found: True ["open(name, mode='readonly', memmap=None, save_backup=False, cache=True, lazy_load_hdus=None, **kwargs)", ':module: astropy.io.fits', '', '', '', 'Factory function to open a FITS file and return an `HDUList` object.', '', '', ':Parameters:', '', ' **name** : file path, file object, file-like object or pathlib.Path object', '', ' File to be opened.', ' ', '', ' **mode** : str, optional', '', " Open mode, 'readonly' (default), 'update', 'append', 'denywrite', or", " 'ostream'.", ' ', ' If ``name`` is a file object that is already opened, ``mode`` must', ' match the mode the file was opened with, readonly (rb), update (rb+),', ' append (ab+), ostream (w), denywrite (rb)).', ' ', '', ' **memmap** : bool, optional', '', ' Is memory mapping to be used?', ' ', '', ' **save_backup** : bool, optional', '', ' If the file was opened in update or append mode, this ensures that a', ' backup of the original file is saved before any changes are flushed.', ' The backup has the same name as the original file with ".bak" appended.', ' If "file.bak" already exists then "file.bak.1" is used, and so on.', ' ', '', ' **cache** : bool, optional', '', ' If the file name is a URL, `~astropy.utils.data.download_file` is used', ' to open the file. This specifies whether or not to save the file', " locally in Astropy's download cache (default: `True`).", ' ', '', ' **lazy_load_hdus** : bool, option', '', ' By default `~astropy.io.fits.open` will not read all the HDUs and', ' headers in a FITS file immediately upon opening. This is an', ' optimization especially useful for large files, as FITS has no way', ' of determining the number and offsets of all the HDUs in a file', ' without scanning through the file and reading all the headers.', ' ', ' To disable lazy loading and read all HDUs immediately (the old', ' behavior) use ``lazy_load_hdus=False``. This can lead to fewer', ' surprises--for example with lazy loading enabled, ``len(hdul)``', ' can be slow, as it means the entire FITS file needs to be read in', ' order to determine the number of HDUs. ``lazy_load_hdus=False``', ' ensures that all HDUs have already been loaded after the file has', ' been opened.', ' ', ' .. versionadded:: 1.3', ' ', '', ' **kwargs** : dict, optional', '', ' additional optional keyword arguments, possible values are:', ' ', ' - **uint** : bool', ' ', ' Interpret signed integer data where ``BZERO`` is the', ' central value and ``BSCALE == 1`` as unsigned integer', ' data. For example, ``int16`` data with ``BZERO = 32768``', ' and ``BSCALE = 1`` would be treated as ``uint16`` data.', ' This is enabled by default so that the pseudo-unsigned', ' integer convention is assumed.', ' ', ' Note, for backward compatibility, the kwarg **uint16** may', ' be used instead. The kwarg was renamed when support was', ' added for integers of any size.', ' ', ' - **ignore_missing_end** : bool', ' ', ' Do not issue an exception when opening a file that is', ' missing an ``END`` card in the last header.', ' ', ' - **checksum** : bool, str', ' ', ' If `True`, verifies that both ``DATASUM`` and', ' ``CHECKSUM`` card values (when present in the HDU header)', " match the header and data of all HDU's in the file. Updates to a", ' file that already has a checksum will preserve and update the', ' existing checksums unless this argument is given a value of', " 'remove', in which case the CHECKSUM and DATASUM values are not", ' checked, and are removed when saving changes to the file.', ' ', ' - **disable_image_compression** : bool', ' ', " If `True`, treats compressed image HDU's like normal", " binary table HDU's.", ' ', ' - **do_not_scale_image_data** : bool', ' ', ' If `True`, image data is not scaled using BSCALE/BZERO values', ' when read.', ' ', ' - **ignore_blank** : bool', ' ', ' If `True`, the BLANK keyword is ignored if present.', ' ', ' - **scale_back** : bool', ' ', ' If `True`, when saving changes to a file that contained scaled', ' image data, restore the data to the original type and reapply the', ' original BSCALE/BZERO values. This could lead to loss of accuracy', ' if scaling back to integer values after performing floating point', ' operations on the data.', '', ':Returns:', '', ' **hdulist** : an `HDUList` object', '', ' `HDUList` containing all of the header data units in the', ' file.']:99: WARNING: py:obj reference target not found: True ["open(name, mode='readonly', memmap=None, save_backup=False, cache=True, lazy_load_hdus=None, **kwargs)", ':module: astropy.io.fits', '', '', '', 'Factory function to open a FITS file and return an `HDUList` object.', '', '', ':Parameters:', '', ' **name** : file path, file object, file-like object or pathlib.Path object', '', ' File to be opened.', ' ', '', ' **mode** : str, optional', '', " Open mode, 'readonly' (default), 'update', 'append', 'denywrite', or", " 'ostream'.", ' ', ' If ``name`` is a file object that is already opened, ``mode`` must', ' match the mode the file was opened with, readonly (rb), update (rb+),', ' append (ab+), ostream (w), denywrite (rb)).', ' ', '', ' **memmap** : bool, optional', '', ' Is memory mapping to be used?', ' ', '', ' **save_backup** : bool, optional', '', ' If the file was opened in update or append mode, this ensures that a', ' backup of the original file is saved before any changes are flushed.', ' The backup has the same name as the original file with ".bak" appended.', ' If "file.bak" already exists then "file.bak.1" is used, and so on.', ' ', '', ' **cache** : bool, optional', '', ' If the file name is a URL, `~astropy.utils.data.download_file` is used', ' to open the file. This specifies whether or not to save the file', " locally in Astropy's download cache (default: `True`).", ' ', '', ' **lazy_load_hdus** : bool, option', '', ' By default `~astropy.io.fits.open` will not read all the HDUs and', ' headers in a FITS file immediately upon opening. This is an', ' optimization especially useful for large files, as FITS has no way', ' of determining the number and offsets of all the HDUs in a file', ' without scanning through the file and reading all the headers.', ' ', ' To disable lazy loading and read all HDUs immediately (the old', ' behavior) use ``lazy_load_hdus=False``. This can lead to fewer', ' surprises--for example with lazy loading enabled, ``len(hdul)``', ' can be slow, as it means the entire FITS file needs to be read in', ' order to determine the number of HDUs. ``lazy_load_hdus=False``', ' ensures that all HDUs have already been loaded after the file has', ' been opened.', ' ', ' .. versionadded:: 1.3', ' ', '', ' **kwargs** : dict, optional', '', ' additional optional keyword arguments, possible values are:', ' ', ' - **uint** : bool', ' ', ' Interpret signed integer data where ``BZERO`` is the', ' central value and ``BSCALE == 1`` as unsigned integer', ' data. For example, ``int16`` data with ``BZERO = 32768``', ' and ``BSCALE = 1`` would be treated as ``uint16`` data.', ' This is enabled by default so that the pseudo-unsigned', ' integer convention is assumed.', ' ', ' Note, for backward compatibility, the kwarg **uint16** may', ' be used instead. The kwarg was renamed when support was', ' added for integers of any size.', ' ', ' - **ignore_missing_end** : bool', ' ', ' Do not issue an exception when opening a file that is', ' missing an ``END`` card in the last header.', ' ', ' - **checksum** : bool, str', ' ', ' If `True`, verifies that both ``DATASUM`` and', ' ``CHECKSUM`` card values (when present in the HDU header)', " match the header and data of all HDU's in the file. Updates to a", ' file that already has a checksum will preserve and update the', ' existing checksums unless this argument is given a value of', " 'remove', in which case the CHECKSUM and DATASUM values are not", ' checked, and are removed when saving changes to the file.', ' ', ' - **disable_image_compression** : bool', ' ', " If `True`, treats compressed image HDU's like normal", " binary table HDU's.", ' ', ' - **do_not_scale_image_data** : bool', ' ', ' If `True`, image data is not scaled using BSCALE/BZERO values', ' when read.', ' ', ' - **ignore_blank** : bool', ' ', ' If `True`, the BLANK keyword is ignored if present.', ' ', ' - **scale_back** : bool', ' ', ' If `True`, when saving changes to a file that contained scaled', ' image data, restore the data to the original type and reapply the', ' original BSCALE/BZERO values. This could lead to loss of accuracy', ' if scaling back to integer values after performing floating point', ' operations on the data.', '', ':Returns:', '', ' **hdulist** : an `HDUList` object', '', ' `HDUList` containing all of the header data units in the', ' file.']:103: WARNING: py:obj reference target not found: True /<>/docs/io/fits/api/files.rst:24: WARNING: py:obj reference target not found: None /<>/docs/io/fits/api/files.rst:47: WARNING: py:obj reference target not found: True /<>/docs/io/fits/api/files.rst:17: WARNING: py:obj reference target not found: gzip.GzipFile /<>/docs/io/fits/api/files.rst:27: WARNING: py:obj reference target not found: None /<>/docs/io/fits/api/files.rst:32: WARNING: py:obj reference target not found: True /<>/docs/io/fits/api/files.rst:37: WARNING: py:obj reference target not found: True /<>/docs/io/fits/api/files.rst:37: WARNING: py:obj reference target not found: False /<>/docs/io/fits/api/files.rst:37: WARNING: py:obj reference target not found: False /<>/docs/io/fits/api/files.rst:15: WARNING: py:obj reference target not found: gzip.GzipFile /<>/docs/io/fits/api/files.rst:24: WARNING: py:obj reference target not found: None /<>/docs/io/fits/api/files.rst:54: WARNING: py:obj reference target not found: True /<>/docs/io/fits/api/files.rst:59: WARNING: py:obj reference target not found: True ['getdata(filename, *args, **kwargs)', ':module: astropy.io.fits', '', '', '', 'Get the data from an extension of a FITS file (and optionally the', 'header).', '', '', ':Parameters:', '', ' **filename** : file path, file object, or file like object', '', ' File to get data from. If opened, mode must be one of the', ' following rb, rb+, or ab+.', ' ', '', ' **ext**', '', ' The rest of the arguments are for extension specification.', ' They are flexible and are best illustrated by examples.', ' ', ' No extra arguments implies the primary header::', ' ', " getdata('in.fits')", ' ', ' By extension number::', ' ', " getdata('in.fits', 0) # the primary header", " getdata('in.fits', 2) # the second extension", " getdata('in.fits', ext=2) # the second extension", ' ', ' By name, i.e., ``EXTNAME`` value (if unique)::', ' ', " getdata('in.fits', 'sci')", " getdata('in.fits', extname='sci') # equivalent", ' ', ' Note ``EXTNAME`` values are not case sensitive', ' ', ' By combination of ``EXTNAME`` and EXTVER`` as separate', ' arguments or as a tuple::', ' ', " getdata('in.fits', 'sci', 2) # EXTNAME='SCI' & EXTVER=2", " getdata('in.fits', extname='sci', extver=2) # equivalent", " getdata('in.fits', ('sci', 2)) # equivalent", ' ', ' Ambiguous or conflicting specifications will raise an exception::', ' ', " getdata('in.fits', ext=('sci',1), extname='err', extver=2)", ' ', '', ' **header** : bool, optional', '', ' If `True`, return the data and the header of the specified HDU as a', ' tuple.', ' ', '', ' **lower, upper** : bool, optional', '', ' If ``lower`` or ``upper`` are `True`, the field names in the', ' returned data object will be converted to lower or upper case,', ' respectively.', ' ', '', ' **view** : ndarray, optional', '', ' When given, the data will be returned wrapped in the given ndarray', ' subclass by calling::', ' ', ' data.view(view)', ' ', '', ' **kwargs**', '', ' Any additional keyword arguments to be passed to', ' `astropy.io.fits.open`.', '', ':Returns:', '', ' **array** : array, record array or groups data object', '', ' Type depends on the type of the extension being referenced.', ' ', ' If the optional keyword ``header`` is set to `True`, this', ' function will return a (``data``, ``header``) tuple.']:75: WARNING: py:obj reference target not found: True /<>/docs/io/fits/api/files.rst:24: WARNING: py:obj reference target not found: gzip.GzipFile /<>/docs/io/fits/api/files.rst:34: WARNING: py:obj reference target not found: None /<>/docs/io/fits/api/files.rst:38: WARNING: py:obj reference target not found: None /<>/docs/io/fits/api/files.rst:42: WARNING: py:obj reference target not found: None /<>/docs/io/fits/api/files.rst:48: WARNING: py:obj reference target not found: None /<>/docs/io/fits/api/files.rst:53: WARNING: py:obj reference target not found: True /<>/docs/io/fits/api/files.rst:53: WARNING: py:obj reference target not found: False /<>/docs/io/fits/api/files.rst:15: WARNING: py:obj reference target not found: gzip.GzipFile ["HDUList.close(output_verify='exception', verbose=False, closed=True)", ':module: astropy.io.fits', '', 'Close the associated FITS file and memmap object, if any.', '', ':Parameters:', '', ' **output_verify** : str', '', ' Output verification option. Must be one of ``"fix"``,', ' ``"silentfix"``, ``"ignore"``, ``"warn"``, or', ' ``"exception"``. May also be any combination of ``"fix"`` or', ' ``"silentfix"`` with ``"+ignore"``, ``+warn``, or ``+exception"', ' (e.g. ``"fix+warn"``). See :ref:`verify` for more info.', '', ' **verbose** : bool', '', ' When `True`, print out verbose messages.', '', ' **closed** : bool', '', ' When `True`, close the underlying file object.']:17: WARNING: py:obj reference target not found: True ["HDUList.close(output_verify='exception', verbose=False, closed=True)", ':module: astropy.io.fits', '', 'Close the associated FITS file and memmap object, if any.', '', ':Parameters:', '', ' **output_verify** : str', '', ' Output verification option. Must be one of ``"fix"``,', ' ``"silentfix"``, ``"ignore"``, ``"warn"``, or', ' ``"exception"``. May also be any combination of ``"fix"`` or', ' ``"silentfix"`` with ``"+ignore"``, ``+warn``, or ``+exception"', ' (e.g. ``"fix+warn"``). See :ref:`verify` for more info.', '', ' **verbose** : bool', '', ' When `True`, print out verbose messages.', '', ' **closed** : bool', '', ' When `True`, close the underlying file object.']:21: WARNING: py:obj reference target not found: True ['HDUList.fileinfo(index)', ':module: astropy.io.fits', '', 'Returns a dictionary detailing information about the locations', 'of the indexed HDU within any associated file. The values are', 'only valid after a read or write of the associated file with', 'no intervening changes to the `HDUList`.', '', ':Parameters:', '', ' **index** : int', '', ' Index of HDU for which info is to be returned.', '', ':Returns:', '', ' **fileinfo** : dict or None', '', ' The dictionary details information about the locations of', ' the indexed HDU within an associated file. Returns `None`', ' when the HDU is not associated with a file.', '', ' Dictionary contents:', '', ' ========== ========================================================', ' Key Value', ' ========== ========================================================', ' file File object associated with the HDU', ' filename Name of associated file object', ' filemode Mode in which the file was opened (readonly,', ' update, append, denywrite, ostream)', ' resized Flag that when `True` indicates that the data has been', ' resized since the last read/write so the returned values', ' may not be valid.', ' hdrLoc Starting byte location of header in file', ' datLoc Starting byte location of data block in file', ' datSpan Data size including padding', ' ========== ========================================================']:18: WARNING: py:obj reference target not found: None ['HDUList.fileinfo(index)', ':module: astropy.io.fits', '', 'Returns a dictionary detailing information about the locations', 'of the indexed HDU within any associated file. The values are', 'only valid after a read or write of the associated file with', 'no intervening changes to the `HDUList`.', '', ':Parameters:', '', ' **index** : int', '', ' Index of HDU for which info is to be returned.', '', ':Returns:', '', ' **fileinfo** : dict or None', '', ' The dictionary details information about the locations of', ' the indexed HDU within an associated file. Returns `None`', ' when the HDU is not associated with a file.', '', ' Dictionary contents:', '', ' ========== ========================================================', ' Key Value', ' ========== ========================================================', ' file File object associated with the HDU', ' filename Name of associated file object', ' filemode Mode in which the file was opened (readonly,', ' update, append, denywrite, ostream)', ' resized Flag that when `True` indicates that the data has been', ' resized since the last read/write so the returned values', ' may not be valid.', ' hdrLoc Starting byte location of header in file', ' datLoc Starting byte location of data block in file', ' datSpan Data size including padding', ' ========== ========================================================']:31: WARNING: py:obj reference target not found: True ["HDUList.flush(output_verify='fix', verbose=False)", ':module: astropy.io.fits', '', 'Force a write of the `HDUList` back to the file (for append and', 'update modes only).', '', ':Parameters:', '', ' **output_verify** : str', '', ' Output verification option. Must be one of ``"fix"``,', ' ``"silentfix"``, ``"ignore"``, ``"warn"``, or', ' ``"exception"``. May also be any combination of ``"fix"`` or', ' ``"silentfix"`` with ``"+ignore"``, ``+warn``, or ``+exception"', ' (e.g. ``"fix+warn"``). See :ref:`verify` for more info.', '', ' **verbose** : bool', '', ' When `True`, print verbose messages']:18: WARNING: py:obj reference target not found: True ['HDUList.info(output=None)', ':module: astropy.io.fits', '', 'Summarize the info of the HDUs in this `HDUList`.', '', 'Note that this function prints its results to the console---it', 'does not return a value.', '', ':Parameters:', '', ' **output** : file, bool, optional', '', ' A file-like object to write the output to. If `False`, does not', ' output to a file and instead returns a list of tuples representing', ' the HDU info. Writes to ``sys.stdout`` by default.']:12: WARNING: py:obj reference target not found: False ["HDUList.writeto(fileobj, output_verify='exception', overwrite=False, checksum=False)", ':module: astropy.io.fits', '', 'Write the `HDUList` to a new file.', '', ':Parameters:', '', ' **fileobj** : file path, file object or file-like object', '', ' File to write to. If a file object, must be opened in a', ' writeable mode.', '', ' **output_verify** : str', '', ' Output verification option. Must be one of ``"fix"``,', ' ``"silentfix"``, ``"ignore"``, ``"warn"``, or', ' ``"exception"``. May also be any combination of ``"fix"`` or', ' ``"silentfix"`` with ``"+ignore"``, ``+warn``, or ``+exception"', ' (e.g. ``"fix+warn"``). See :ref:`verify` for more info.', '', ' **overwrite** : bool, optional', '', ' If ``True``, overwrite the output file if it exists. Raises an', ' ``OSError`` (``IOError`` for Python 2) if ``False`` and the', ' output file exists. Default is ``False``.', '', ' .. versionchanged:: 1.3', ' ``overwrite`` replaces the deprecated ``clobber`` argument.', '', ' **checksum** : bool', '', ' When `True` adds both ``DATASUM`` and ``CHECKSUM`` cards', " to the headers of all HDU's written to the file."]:31: WARNING: py:obj reference target not found: True /<>/docs/io/fits/api/hdus.rst:21: WARNING: py:obj reference target not found: None /<>/docs/io/fits/api/hdus.rst:26: WARNING: py:obj reference target not found: True /<>/docs/io/fits/api/hdus.rst:31: WARNING: py:obj reference target not found: True /<>/docs/io/fits/api/hdus.rst:45: WARNING: py:obj reference target not found: True /<>/docs/io/fits/api/hdus.rst:45: WARNING: py:obj reference target not found: False ["PrimaryHDU.add_checksum(when=None, override_datasum=False, blocking='standard', checksum_keyword='CHECKSUM', datasum_keyword='DATASUM')", ':module: astropy.io.fits', '', 'Add the ``CHECKSUM`` and ``DATASUM`` cards to this HDU with', 'the values set to the checksum calculated for the HDU and the', 'data respectively. The addition of the ``DATASUM`` card may', 'be overridden.', '', ':Parameters:', '', ' **when** : str, optional', '', ' comment string for the cards; by default the comments', ' will represent the time when the checksum was calculated', '', ' **override_datasum** : bool, optional', '', ' add the ``CHECKSUM`` card only', '', ' **blocking** : str, optional', '', ' "standard" or "nonstandard", compute sum 2880 bytes at a time, or', ' not', '', ' **checksum_keyword** : str, optional', '', ' The name of the header keyword to store the checksum value in; this', " is typically 'CHECKSUM' per convention, but there exist use cases", ' in which a different keyword should be used', '', ' **datasum_keyword** : str, optional', '', ' See ``checksum_keyword``', '', '.. rubric:: Notes', '', 'For testing purposes, first call `add_datasum` with a ``when``', 'argument, then call `add_checksum` with a ``when`` argument and', '``override_datasum`` set to `True`. This will provide consistent', 'comments for both cards and enable the generation of a ``CHECKSUM``', 'card with a consistent value.']:36: WARNING: py:obj reference target not found: True ['PrimaryHDU.data', ':module: astropy.io.fits', '', 'Image/array data as a `~numpy.ndarray`.', '', 'Please remember that the order of axes on an Numpy array are opposite', 'of the order specified in the FITS file. For example for a 2D image', 'the "rows" or y-axis are the first dimension, and the "columns" or', 'x-axis are the second dimension.', '', 'If the data is scaled using the BZERO and BSCALE parameters, this', 'attribute returns the data scaled to its physical values unless the', 'file was opened with ``do_not_scale_image_data=True``.']:3: WARNING: py:obj reference target not found: numpy.ndarray ['PrimaryHDU.fileinfo()', ':module: astropy.io.fits', '', 'Returns a dictionary detailing information about the locations', 'of this HDU within any associated file. The values are only', 'valid after a read or write of the associated file with no', 'intervening changes to the `HDUList`.', '', ':Returns:', '', ' dict or None', '', ' The dictionary details information about the locations of', ' this HDU within an associated file. Returns `None` when', ' the HDU is not associated with a file.', '', ' Dictionary contents:', '', ' ========== ================================================', ' Key Value', ' ========== ================================================', ' file File object associated with the HDU', ' filemode Mode in which the file was opened (readonly, copyonwrite,', ' update, append, ostream)', ' hdrLoc Starting byte location of header in file', ' datLoc Starting byte location of data block in file', ' datSpan Data size including padding', ' ========== ================================================']:12: WARNING: py:obj reference target not found: None ['PrimaryHDU.fromstring(data, checksum=False, ignore_missing_end=False, **kwargs)', ':module: astropy.io.fits', '', 'Creates a new HDU object of the appropriate type from a string', "containing the HDU's entire header and, optionally, its data.", '', 'Note: When creating a new HDU from a string without a backing file', 'object, the data of that HDU may be read-only. It depends on whether', 'the underlying string was an immutable Python str/bytes object, or some', 'kind of read-write memory buffer such as a `memoryview`.', '', ':Parameters:', '', ' **data** : str, bytearray, memoryview, ndarray', '', " A byte string containing the HDU's header and data.", '', ' **checksum** : bool, optional', '', " Check the HDU's checksum and/or datasum.", '', ' **ignore_missing_end** : bool, optional', '', ' Ignore a missing end card in the header data. Note that without the', ' end card the end of the header may be ambiguous and resulted in a', ' corrupt HDU. In this case the assumption is that the first 2880', ' block that does not begin with valid FITS header data is the', ' beginning of the data.', '', ' **kwargs** : optional', '', ' May consist of additional keyword arguments specific to an HDU', ' type--these correspond to keywords recognized by the constructors of', ' different HDU classes such as `PrimaryHDU`, `ImageHDU`, or', ' `BinTableHDU`. Any unrecognized keyword arguments are simply', ' ignored.']:6: WARNING: py:obj reference target not found: memoryview ['PrimaryHDU.readfrom(fileobj, checksum=False, ignore_missing_end=False, **kwargs)', ':module: astropy.io.fits', '', 'Read the HDU from a file. Normally an HDU should be opened with', ':func:`open` which reads the entire HDU list in a FITS file. But this', 'method is still provided for symmetry with :func:`writeto`.', '', ':Parameters:', '', ' **fileobj** : file object or file-like object', '', " Input FITS file. The file's seek pointer is assumed to be at the", ' beginning of the HDU.', '', ' **checksum** : bool', '', ' If `True`, verifies that both ``DATASUM`` and ``CHECKSUM`` card', ' values (when present in the HDU header) match the header and data', " of all HDU's in the file.", '', ' **ignore_missing_end** : bool', '', ' Do not issue an exception when opening a file that is missing an', ' ``END`` card in the last header.']:16: WARNING: py:obj reference target not found: True ['PrimaryHDU.req_cards(keyword, pos, test, fix_value, option, errlist)', ':module: astropy.io.fits', '', 'Check the existence, location, and value of a required `Card`.', '', ':Parameters:', '', ' **keyword** : str', '', ' The keyword to validate', '', ' **pos** : int, callable', '', ' If an ``int``, this specifies the exact location this card should', ' have in the header. Remember that Python is zero-indexed, so this', ' means ``pos=0`` requires the card to be the first card in the', ' header. If given a callable, it should take one argument--the', ' actual position of the keyword--and return `True` or `False`. This', ' can be used for custom evaluation. For example if', " ``pos=lambda idx: idx > 10`` this will check that the keyword's", ' index is greater than 10.', '', ' **test** : callable', '', ' This should be a callable (generally a function) that is passed the', ' value of the given keyword and returns `True` or `False`. This can', ' be used to validate the value associated with the given keyword.', '', ' **fix_value** : str, int, float, complex, bool, None', '', ' A valid value for a FITS keyword to to use if the given ``test``', ' fails to replace an invalid value. In other words, this provides', " a default value to use as a replacement if the keyword's current", ' value is invalid. If `None`, there is no replacement value and the', ' keyword is unfixable.', '', ' **option** : str', '', ' Output verification option. Must be one of ``"fix"``,', ' ``"silentfix"``, ``"ignore"``, ``"warn"``, or', ' ``"exception"``. May also be any combination of ``"fix"`` or', ' ``"silentfix"`` with ``"+ignore"``, ``+warn``, or ``+exception"', ' (e.g. ``"fix+warn"``). See :ref:`verify` for more info.', '', ' **errlist** : list', '', ' A list of validation errors already found in the FITS file; this is', ' used primarily for the validation system to collect errors across', ' multiple HDUs and multiple calls to `req_cards`.', '', '.. rubric:: Notes', '', 'If ``pos=None``, the card can be anywhere in the header. If the card', 'does not exist, the new card will have the ``fix_value`` as its value', "when created. Also check the card's value by using the ``test``", 'argument.']:13: WARNING: py:obj reference target not found: True ['PrimaryHDU.req_cards(keyword, pos, test, fix_value, option, errlist)', ':module: astropy.io.fits', '', 'Check the existence, location, and value of a required `Card`.', '', ':Parameters:', '', ' **keyword** : str', '', ' The keyword to validate', '', ' **pos** : int, callable', '', ' If an ``int``, this specifies the exact location this card should', ' have in the header. Remember that Python is zero-indexed, so this', ' means ``pos=0`` requires the card to be the first card in the', ' header. If given a callable, it should take one argument--the', ' actual position of the keyword--and return `True` or `False`. This', ' can be used for custom evaluation. For example if', " ``pos=lambda idx: idx > 10`` this will check that the keyword's", ' index is greater than 10.', '', ' **test** : callable', '', ' This should be a callable (generally a function) that is passed the', ' value of the given keyword and returns `True` or `False`. This can', ' be used to validate the value associated with the given keyword.', '', ' **fix_value** : str, int, float, complex, bool, None', '', ' A valid value for a FITS keyword to to use if the given ``test``', ' fails to replace an invalid value. In other words, this provides', " a default value to use as a replacement if the keyword's current", ' value is invalid. If `None`, there is no replacement value and the', ' keyword is unfixable.', '', ' **option** : str', '', ' Output verification option. Must be one of ``"fix"``,', ' ``"silentfix"``, ``"ignore"``, ``"warn"``, or', ' ``"exception"``. May also be any combination of ``"fix"`` or', ' ``"silentfix"`` with ``"+ignore"``, ``+warn``, or ``+exception"', ' (e.g. ``"fix+warn"``). See :ref:`verify` for more info.', '', ' **errlist** : list', '', ' A list of validation errors already found in the FITS file; this is', ' used primarily for the validation system to collect errors across', ' multiple HDUs and multiple calls to `req_cards`.', '', '.. rubric:: Notes', '', 'If ``pos=None``, the card can be anywhere in the header. If the card', 'does not exist, the new card will have the ``fix_value`` as its value', "when created. Also check the card's value by using the ``test``", 'argument.']:13: WARNING: py:obj reference target not found: False ['PrimaryHDU.req_cards(keyword, pos, test, fix_value, option, errlist)', ':module: astropy.io.fits', '', 'Check the existence, location, and value of a required `Card`.', '', ':Parameters:', '', ' **keyword** : str', '', ' The keyword to validate', '', ' **pos** : int, callable', '', ' If an ``int``, this specifies the exact location this card should', ' have in the header. Remember that Python is zero-indexed, so this', ' means ``pos=0`` requires the card to be the first card in the', ' header. If given a callable, it should take one argument--the', ' actual position of the keyword--and return `True` or `False`. This', ' can be used for custom evaluation. For example if', " ``pos=lambda idx: idx > 10`` this will check that the keyword's", ' index is greater than 10.', '', ' **test** : callable', '', ' This should be a callable (generally a function) that is passed the', ' value of the given keyword and returns `True` or `False`. This can', ' be used to validate the value associated with the given keyword.', '', ' **fix_value** : str, int, float, complex, bool, None', '', ' A valid value for a FITS keyword to to use if the given ``test``', ' fails to replace an invalid value. In other words, this provides', " a default value to use as a replacement if the keyword's current", ' value is invalid. If `None`, there is no replacement value and the', ' keyword is unfixable.', '', ' **option** : str', '', ' Output verification option. Must be one of ``"fix"``,', ' ``"silentfix"``, ``"ignore"``, ``"warn"``, or', ' ``"exception"``. May also be any combination of ``"fix"`` or', ' ``"silentfix"`` with ``"+ignore"``, ``+warn``, or ``+exception"', ' (e.g. ``"fix+warn"``). See :ref:`verify` for more info.', '', ' **errlist** : list', '', ' A list of validation errors already found in the FITS file; this is', ' used primarily for the validation system to collect errors across', ' multiple HDUs and multiple calls to `req_cards`.', '', '.. rubric:: Notes', '', 'If ``pos=None``, the card can be anywhere in the header. If the card', 'does not exist, the new card will have the ``fix_value`` as its value', "when created. Also check the card's value by using the ``test``", 'argument.']:24: WARNING: py:obj reference target not found: True ['PrimaryHDU.req_cards(keyword, pos, test, fix_value, option, errlist)', ':module: astropy.io.fits', '', 'Check the existence, location, and value of a required `Card`.', '', ':Parameters:', '', ' **keyword** : str', '', ' The keyword to validate', '', ' **pos** : int, callable', '', ' If an ``int``, this specifies the exact location this card should', ' have in the header. Remember that Python is zero-indexed, so this', ' means ``pos=0`` requires the card to be the first card in the', ' header. If given a callable, it should take one argument--the', ' actual position of the keyword--and return `True` or `False`. This', ' can be used for custom evaluation. For example if', " ``pos=lambda idx: idx > 10`` this will check that the keyword's", ' index is greater than 10.', '', ' **test** : callable', '', ' This should be a callable (generally a function) that is passed the', ' value of the given keyword and returns `True` or `False`. This can', ' be used to validate the value associated with the given keyword.', '', ' **fix_value** : str, int, float, complex, bool, None', '', ' A valid value for a FITS keyword to to use if the given ``test``', ' fails to replace an invalid value. In other words, this provides', " a default value to use as a replacement if the keyword's current", ' value is invalid. If `None`, there is no replacement value and the', ' keyword is unfixable.', '', ' **option** : str', '', ' Output verification option. Must be one of ``"fix"``,', ' ``"silentfix"``, ``"ignore"``, ``"warn"``, or', ' ``"exception"``. May also be any combination of ``"fix"`` or', ' ``"silentfix"`` with ``"+ignore"``, ``+warn``, or ``+exception"', ' (e.g. ``"fix+warn"``). See :ref:`verify` for more info.', '', ' **errlist** : list', '', ' A list of validation errors already found in the FITS file; this is', ' used primarily for the validation system to collect errors across', ' multiple HDUs and multiple calls to `req_cards`.', '', '.. rubric:: Notes', '', 'If ``pos=None``, the card can be anywhere in the header. If the card', 'does not exist, the new card will have the ``fix_value`` as its value', "when created. Also check the card's value by using the ``test``", 'argument.']:24: WARNING: py:obj reference target not found: False ['PrimaryHDU.req_cards(keyword, pos, test, fix_value, option, errlist)', ':module: astropy.io.fits', '', 'Check the existence, location, and value of a required `Card`.', '', ':Parameters:', '', ' **keyword** : str', '', ' The keyword to validate', '', ' **pos** : int, callable', '', ' If an ``int``, this specifies the exact location this card should', ' have in the header. Remember that Python is zero-indexed, so this', ' means ``pos=0`` requires the card to be the first card in the', ' header. If given a callable, it should take one argument--the', ' actual position of the keyword--and return `True` or `False`. This', ' can be used for custom evaluation. For example if', " ``pos=lambda idx: idx > 10`` this will check that the keyword's", ' index is greater than 10.', '', ' **test** : callable', '', ' This should be a callable (generally a function) that is passed the', ' value of the given keyword and returns `True` or `False`. This can', ' be used to validate the value associated with the given keyword.', '', ' **fix_value** : str, int, float, complex, bool, None', '', ' A valid value for a FITS keyword to to use if the given ``test``', ' fails to replace an invalid value. In other words, this provides', " a default value to use as a replacement if the keyword's current", ' value is invalid. If `None`, there is no replacement value and the', ' keyword is unfixable.', '', ' **option** : str', '', ' Output verification option. Must be one of ``"fix"``,', ' ``"silentfix"``, ``"ignore"``, ``"warn"``, or', ' ``"exception"``. May also be any combination of ``"fix"`` or', ' ``"silentfix"`` with ``"+ignore"``, ``+warn``, or ``+exception"', ' (e.g. ``"fix+warn"``). See :ref:`verify` for more info.', '', ' **errlist** : list', '', ' A list of validation errors already found in the FITS file; this is', ' used primarily for the validation system to collect errors across', ' multiple HDUs and multiple calls to `req_cards`.', '', '.. rubric:: Notes', '', 'If ``pos=None``, the card can be anywhere in the header. If the card', 'does not exist, the new card will have the ``fix_value`` as its value', "when created. Also check the card's value by using the ``test``", 'argument.']:30: WARNING: py:obj reference target not found: None ["PrimaryHDU.scale(type=None, option='old', bscale=None, bzero=None)", ':module: astropy.io.fits', '', 'Scale image data by using ``BSCALE``/``BZERO``.', '', 'Call to this method will scale `data` and update the keywords of', "``BSCALE`` and ``BZERO`` in the HDU's header. This method should only", 'be used right before writing to the output file, as the data will be', 'scaled and is therefore not very usable after the call.', '', ':Parameters:', '', ' **type** : str, optional', '', ' destination data type, use a string representing a numpy', " dtype name, (e.g. ``'uint8'``, ``'int16'``, ``'float32'``", ' etc.). If is `None`, use the current data type.', '', ' **option** : str, optional', '', ' How to scale the data: ``"old"`` uses the original ``BSCALE`` and', ' ``BZERO`` values from when the data was read/created (defaulting to', ' 1 and 0 if they don\'t exist). For integer data only, ``"minmax"``', ' uses the minimum and maximum of the data to scale. User-specified', ' ``bscale``/``bzero`` values always take precedence.', '', ' **bscale, bzero** : int, optional', '', ' User-specified ``BSCALE`` and ``BZERO`` values']:14: WARNING: py:obj reference target not found: None ["PrimaryHDU.writeto(name, output_verify='exception', overwrite=False, checksum=False)", ':module: astropy.io.fits', '', 'Write the HDU to a new file. This is a convenience method to', 'provide a user easier output interface if only one HDU needs', 'to be written to a file.', '', ':Parameters:', '', ' **name** : file path, file object or file-like object', '', ' Output FITS file. If the file object is already opened, it must', ' be opened in a writeable mode.', '', ' **output_verify** : str', '', ' Output verification option. Must be one of ``"fix"``,', ' ``"silentfix"``, ``"ignore"``, ``"warn"``, or', ' ``"exception"``. May also be any combination of ``"fix"`` or', ' ``"silentfix"`` with ``"+ignore"``, ``+warn``, or ``+exception"', ' (e.g. ``"fix+warn"``). See :ref:`verify` for more info.', '', ' **overwrite** : bool, optional', '', ' If ``True``, overwrite the output file if it exists. Raises an', ' ``OSError`` (``IOError`` for Python 2) if ``False`` and the', ' output file exists. Default is ``False``.', '', ' .. versionchanged:: 1.3', ' ``overwrite`` replaces the deprecated ``clobber`` argument.', '', ' **checksum** : bool', '', ' When `True` adds both ``DATASUM`` and ``CHECKSUM`` cards', ' to the header of the HDU when written to the file.']:33: WARNING: py:obj reference target not found: True ["GroupsHDU.add_checksum(when=None, override_datasum=False, blocking='standard', checksum_keyword='CHECKSUM', datasum_keyword='DATASUM')", ':module: astropy.io.fits', '', 'Add the ``CHECKSUM`` and ``DATASUM`` cards to this HDU with', 'the values set to the checksum calculated for the HDU and the', 'data respectively. The addition of the ``DATASUM`` card may', 'be overridden.', '', ':Parameters:', '', ' **when** : str, optional', '', ' comment string for the cards; by default the comments', ' will represent the time when the checksum was calculated', '', ' **override_datasum** : bool, optional', '', ' add the ``CHECKSUM`` card only', '', ' **blocking** : str, optional', '', ' "standard" or "nonstandard", compute sum 2880 bytes at a time, or', ' not', '', ' **checksum_keyword** : str, optional', '', ' The name of the header keyword to store the checksum value in; this', " is typically 'CHECKSUM' per convention, but there exist use cases", ' in which a different keyword should be used', '', ' **datasum_keyword** : str, optional', '', ' See ``checksum_keyword``', '', '.. rubric:: Notes', '', 'For testing purposes, first call `add_datasum` with a ``when``', 'argument, then call `add_checksum` with a ``when`` argument and', '``override_datasum`` set to `True`. This will provide consistent', 'comments for both cards and enable the generation of a ``CHECKSUM``', 'card with a consistent value.']:36: WARNING: py:obj reference target not found: True ['GroupsHDU.fileinfo()', ':module: astropy.io.fits', '', 'Returns a dictionary detailing information about the locations', 'of this HDU within any associated file. The values are only', 'valid after a read or write of the associated file with no', 'intervening changes to the `HDUList`.', '', ':Returns:', '', ' dict or None', '', ' The dictionary details information about the locations of', ' this HDU within an associated file. Returns `None` when', ' the HDU is not associated with a file.', '', ' Dictionary contents:', '', ' ========== ================================================', ' Key Value', ' ========== ================================================', ' file File object associated with the HDU', ' filemode Mode in which the file was opened (readonly, copyonwrite,', ' update, append, ostream)', ' hdrLoc Starting byte location of header in file', ' datLoc Starting byte location of data block in file', ' datSpan Data size including padding', ' ========== ================================================']:12: WARNING: py:obj reference target not found: None ['GroupsHDU.from_columns(columns, header=None, nrows=0, fill=False, **kwargs)', ':module: astropy.io.fits', '', 'Given either a `ColDefs` object, a sequence of `Column` objects,', 'or another table HDU or table data (a `FITS_rec` or multi-field', '`numpy.ndarray` or `numpy.recarray` object, return a new table HDU of', 'the class this method was called on using the column definition from', 'the input.', '', 'See also `FITS_rec.from_columns`.', '', ':Parameters:', '', ' **columns** : sequence of `Column`, `ColDefs`, or other', '', ' The columns from which to create the table data, or an object with', ' a column-like structure from which a `ColDefs` can be instantiated.', ' This includes an existing `BinTableHDU` or `TableHDU`, or a', ' `numpy.recarray` to give some examples.', '', ' If these columns have data arrays attached that data may be used in', ' initializing the new table. Otherwise the input columns will be', ' used as a template for a new table with the requested number of', ' rows.', '', ' **header** : `Header`', '', ' An optional `Header` object to instantiate the new HDU yet. Header', ' keywords specifically related to defining the table structure (such', ' as the "TXXXn" keywords like TTYPEn) will be overridden by the', ' supplied column definitions, but all other informational and data', ' model-specific keywords are kept.', '', ' **nrows** : int', '', ' Number of rows in the new table. If the input columns have data', ' associated with them, the size of the largest input column is used.', ' Otherwise the default is 0.', '', ' **fill** : bool', '', ' If `True`, will fill all cells with zeros or blanks. If `False`,', ' copy the data from input, undefined cells will still be filled with', ' zeros/blanks.', '', '.. rubric:: Notes', '', "Any additional keyword arguments accepted by the HDU class's", '``__init__`` may also be passed in as keyword arguments.']:3: WARNING: py:obj reference target not found: numpy.ndarray ['GroupsHDU.from_columns(columns, header=None, nrows=0, fill=False, **kwargs)', ':module: astropy.io.fits', '', 'Given either a `ColDefs` object, a sequence of `Column` objects,', 'or another table HDU or table data (a `FITS_rec` or multi-field', '`numpy.ndarray` or `numpy.recarray` object, return a new table HDU of', 'the class this method was called on using the column definition from', 'the input.', '', 'See also `FITS_rec.from_columns`.', '', ':Parameters:', '', ' **columns** : sequence of `Column`, `ColDefs`, or other', '', ' The columns from which to create the table data, or an object with', ' a column-like structure from which a `ColDefs` can be instantiated.', ' This includes an existing `BinTableHDU` or `TableHDU`, or a', ' `numpy.recarray` to give some examples.', '', ' If these columns have data arrays attached that data may be used in', ' initializing the new table. Otherwise the input columns will be', ' used as a template for a new table with the requested number of', ' rows.', '', ' **header** : `Header`', '', ' An optional `Header` object to instantiate the new HDU yet. Header', ' keywords specifically related to defining the table structure (such', ' as the "TXXXn" keywords like TTYPEn) will be overridden by the', ' supplied column definitions, but all other informational and data', ' model-specific keywords are kept.', '', ' **nrows** : int', '', ' Number of rows in the new table. If the input columns have data', ' associated with them, the size of the largest input column is used.', ' Otherwise the default is 0.', '', ' **fill** : bool', '', ' If `True`, will fill all cells with zeros or blanks. If `False`,', ' copy the data from input, undefined cells will still be filled with', ' zeros/blanks.', '', '.. rubric:: Notes', '', "Any additional keyword arguments accepted by the HDU class's", '``__init__`` may also be passed in as keyword arguments.']:3: WARNING: py:obj reference target not found: numpy.recarray ['GroupsHDU.from_columns(columns, header=None, nrows=0, fill=False, **kwargs)', ':module: astropy.io.fits', '', 'Given either a `ColDefs` object, a sequence of `Column` objects,', 'or another table HDU or table data (a `FITS_rec` or multi-field', '`numpy.ndarray` or `numpy.recarray` object, return a new table HDU of', 'the class this method was called on using the column definition from', 'the input.', '', 'See also `FITS_rec.from_columns`.', '', ':Parameters:', '', ' **columns** : sequence of `Column`, `ColDefs`, or other', '', ' The columns from which to create the table data, or an object with', ' a column-like structure from which a `ColDefs` can be instantiated.', ' This includes an existing `BinTableHDU` or `TableHDU`, or a', ' `numpy.recarray` to give some examples.', '', ' If these columns have data arrays attached that data may be used in', ' initializing the new table. Otherwise the input columns will be', ' used as a template for a new table with the requested number of', ' rows.', '', ' **header** : `Header`', '', ' An optional `Header` object to instantiate the new HDU yet. Header', ' keywords specifically related to defining the table structure (such', ' as the "TXXXn" keywords like TTYPEn) will be overridden by the', ' supplied column definitions, but all other informational and data', ' model-specific keywords are kept.', '', ' **nrows** : int', '', ' Number of rows in the new table. If the input columns have data', ' associated with them, the size of the largest input column is used.', ' Otherwise the default is 0.', '', ' **fill** : bool', '', ' If `True`, will fill all cells with zeros or blanks. If `False`,', ' copy the data from input, undefined cells will still be filled with', ' zeros/blanks.', '', '.. rubric:: Notes', '', "Any additional keyword arguments accepted by the HDU class's", '``__init__`` may also be passed in as keyword arguments.']:15: WARNING: py:obj reference target not found: numpy.recarray ['GroupsHDU.from_columns(columns, header=None, nrows=0, fill=False, **kwargs)', ':module: astropy.io.fits', '', 'Given either a `ColDefs` object, a sequence of `Column` objects,', 'or another table HDU or table data (a `FITS_rec` or multi-field', '`numpy.ndarray` or `numpy.recarray` object, return a new table HDU of', 'the class this method was called on using the column definition from', 'the input.', '', 'See also `FITS_rec.from_columns`.', '', ':Parameters:', '', ' **columns** : sequence of `Column`, `ColDefs`, or other', '', ' The columns from which to create the table data, or an object with', ' a column-like structure from which a `ColDefs` can be instantiated.', ' This includes an existing `BinTableHDU` or `TableHDU`, or a', ' `numpy.recarray` to give some examples.', '', ' If these columns have data arrays attached that data may be used in', ' initializing the new table. Otherwise the input columns will be', ' used as a template for a new table with the requested number of', ' rows.', '', ' **header** : `Header`', '', ' An optional `Header` object to instantiate the new HDU yet. Header', ' keywords specifically related to defining the table structure (such', ' as the "TXXXn" keywords like TTYPEn) will be overridden by the', ' supplied column definitions, but all other informational and data', ' model-specific keywords are kept.', '', ' **nrows** : int', '', ' Number of rows in the new table. If the input columns have data', ' associated with them, the size of the largest input column is used.', ' Otherwise the default is 0.', '', ' **fill** : bool', '', ' If `True`, will fill all cells with zeros or blanks. If `False`,', ' copy the data from input, undefined cells will still be filled with', ' zeros/blanks.', '', '.. rubric:: Notes', '', "Any additional keyword arguments accepted by the HDU class's", '``__init__`` may also be passed in as keyword arguments.']:41: WARNING: py:obj reference target not found: True ['GroupsHDU.from_columns(columns, header=None, nrows=0, fill=False, **kwargs)', ':module: astropy.io.fits', '', 'Given either a `ColDefs` object, a sequence of `Column` objects,', 'or another table HDU or table data (a `FITS_rec` or multi-field', '`numpy.ndarray` or `numpy.recarray` object, return a new table HDU of', 'the class this method was called on using the column definition from', 'the input.', '', 'See also `FITS_rec.from_columns`.', '', ':Parameters:', '', ' **columns** : sequence of `Column`, `ColDefs`, or other', '', ' The columns from which to create the table data, or an object with', ' a column-like structure from which a `ColDefs` can be instantiated.', ' This includes an existing `BinTableHDU` or `TableHDU`, or a', ' `numpy.recarray` to give some examples.', '', ' If these columns have data arrays attached that data may be used in', ' initializing the new table. Otherwise the input columns will be', ' used as a template for a new table with the requested number of', ' rows.', '', ' **header** : `Header`', '', ' An optional `Header` object to instantiate the new HDU yet. Header', ' keywords specifically related to defining the table structure (such', ' as the "TXXXn" keywords like TTYPEn) will be overridden by the', ' supplied column definitions, but all other informational and data', ' model-specific keywords are kept.', '', ' **nrows** : int', '', ' Number of rows in the new table. If the input columns have data', ' associated with them, the size of the largest input column is used.', ' Otherwise the default is 0.', '', ' **fill** : bool', '', ' If `True`, will fill all cells with zeros or blanks. If `False`,', ' copy the data from input, undefined cells will still be filled with', ' zeros/blanks.', '', '.. rubric:: Notes', '', "Any additional keyword arguments accepted by the HDU class's", '``__init__`` may also be passed in as keyword arguments.']:41: WARNING: py:obj reference target not found: False ['GroupsHDU.fromstring(data, checksum=False, ignore_missing_end=False, **kwargs)', ':module: astropy.io.fits', '', 'Creates a new HDU object of the appropriate type from a string', "containing the HDU's entire header and, optionally, its data.", '', 'Note: When creating a new HDU from a string without a backing file', 'object, the data of that HDU may be read-only. It depends on whether', 'the underlying string was an immutable Python str/bytes object, or some', 'kind of read-write memory buffer such as a `memoryview`.', '', ':Parameters:', '', ' **data** : str, bytearray, memoryview, ndarray', '', " A byte string containing the HDU's header and data.", '', ' **checksum** : bool, optional', '', " Check the HDU's checksum and/or datasum.", '', ' **ignore_missing_end** : bool, optional', '', ' Ignore a missing end card in the header data. Note that without the', ' end card the end of the header may be ambiguous and resulted in a', ' corrupt HDU. In this case the assumption is that the first 2880', ' block that does not begin with valid FITS header data is the', ' beginning of the data.', '', ' **kwargs** : optional', '', ' May consist of additional keyword arguments specific to an HDU', ' type--these correspond to keywords recognized by the constructors of', ' different HDU classes such as `PrimaryHDU`, `ImageHDU`, or', ' `BinTableHDU`. Any unrecognized keyword arguments are simply', ' ignored.']:6: WARNING: py:obj reference target not found: memoryview ['GroupsHDU.readfrom(fileobj, checksum=False, ignore_missing_end=False, **kwargs)', ':module: astropy.io.fits', '', 'Read the HDU from a file. Normally an HDU should be opened with', ':func:`open` which reads the entire HDU list in a FITS file. But this', 'method is still provided for symmetry with :func:`writeto`.', '', ':Parameters:', '', ' **fileobj** : file object or file-like object', '', " Input FITS file. The file's seek pointer is assumed to be at the", ' beginning of the HDU.', '', ' **checksum** : bool', '', ' If `True`, verifies that both ``DATASUM`` and ``CHECKSUM`` card', ' values (when present in the HDU header) match the header and data', " of all HDU's in the file.", '', ' **ignore_missing_end** : bool', '', ' Do not issue an exception when opening a file that is missing an', ' ``END`` card in the last header.']:16: WARNING: py:obj reference target not found: True ['GroupsHDU.req_cards(keyword, pos, test, fix_value, option, errlist)', ':module: astropy.io.fits', '', 'Check the existence, location, and value of a required `Card`.', '', ':Parameters:', '', ' **keyword** : str', '', ' The keyword to validate', '', ' **pos** : int, callable', '', ' If an ``int``, this specifies the exact location this card should', ' have in the header. Remember that Python is zero-indexed, so this', ' means ``pos=0`` requires the card to be the first card in the', ' header. If given a callable, it should take one argument--the', ' actual position of the keyword--and return `True` or `False`. This', ' can be used for custom evaluation. For example if', " ``pos=lambda idx: idx > 10`` this will check that the keyword's", ' index is greater than 10.', '', ' **test** : callable', '', ' This should be a callable (generally a function) that is passed the', ' value of the given keyword and returns `True` or `False`. This can', ' be used to validate the value associated with the given keyword.', '', ' **fix_value** : str, int, float, complex, bool, None', '', ' A valid value for a FITS keyword to to use if the given ``test``', ' fails to replace an invalid value. In other words, this provides', " a default value to use as a replacement if the keyword's current", ' value is invalid. If `None`, there is no replacement value and the', ' keyword is unfixable.', '', ' **option** : str', '', ' Output verification option. Must be one of ``"fix"``,', ' ``"silentfix"``, ``"ignore"``, ``"warn"``, or', ' ``"exception"``. May also be any combination of ``"fix"`` or', ' ``"silentfix"`` with ``"+ignore"``, ``+warn``, or ``+exception"', ' (e.g. ``"fix+warn"``). See :ref:`verify` for more info.', '', ' **errlist** : list', '', ' A list of validation errors already found in the FITS file; this is', ' used primarily for the validation system to collect errors across', ' multiple HDUs and multiple calls to `req_cards`.', '', '.. rubric:: Notes', '', 'If ``pos=None``, the card can be anywhere in the header. If the card', 'does not exist, the new card will have the ``fix_value`` as its value', "when created. Also check the card's value by using the ``test``", 'argument.']:13: WARNING: py:obj reference target not found: True ['GroupsHDU.req_cards(keyword, pos, test, fix_value, option, errlist)', ':module: astropy.io.fits', '', 'Check the existence, location, and value of a required `Card`.', '', ':Parameters:', '', ' **keyword** : str', '', ' The keyword to validate', '', ' **pos** : int, callable', '', ' If an ``int``, this specifies the exact location this card should', ' have in the header. Remember that Python is zero-indexed, so this', ' means ``pos=0`` requires the card to be the first card in the', ' header. If given a callable, it should take one argument--the', ' actual position of the keyword--and return `True` or `False`. This', ' can be used for custom evaluation. For example if', " ``pos=lambda idx: idx > 10`` this will check that the keyword's", ' index is greater than 10.', '', ' **test** : callable', '', ' This should be a callable (generally a function) that is passed the', ' value of the given keyword and returns `True` or `False`. This can', ' be used to validate the value associated with the given keyword.', '', ' **fix_value** : str, int, float, complex, bool, None', '', ' A valid value for a FITS keyword to to use if the given ``test``', ' fails to replace an invalid value. In other words, this provides', " a default value to use as a replacement if the keyword's current", ' value is invalid. If `None`, there is no replacement value and the', ' keyword is unfixable.', '', ' **option** : str', '', ' Output verification option. Must be one of ``"fix"``,', ' ``"silentfix"``, ``"ignore"``, ``"warn"``, or', ' ``"exception"``. May also be any combination of ``"fix"`` or', ' ``"silentfix"`` with ``"+ignore"``, ``+warn``, or ``+exception"', ' (e.g. ``"fix+warn"``). See :ref:`verify` for more info.', '', ' **errlist** : list', '', ' A list of validation errors already found in the FITS file; this is', ' used primarily for the validation system to collect errors across', ' multiple HDUs and multiple calls to `req_cards`.', '', '.. rubric:: Notes', '', 'If ``pos=None``, the card can be anywhere in the header. If the card', 'does not exist, the new card will have the ``fix_value`` as its value', "when created. Also check the card's value by using the ``test``", 'argument.']:13: WARNING: py:obj reference target not found: False ['GroupsHDU.req_cards(keyword, pos, test, fix_value, option, errlist)', ':module: astropy.io.fits', '', 'Check the existence, location, and value of a required `Card`.', '', ':Parameters:', '', ' **keyword** : str', '', ' The keyword to validate', '', ' **pos** : int, callable', '', ' If an ``int``, this specifies the exact location this card should', ' have in the header. Remember that Python is zero-indexed, so this', ' means ``pos=0`` requires the card to be the first card in the', ' header. If given a callable, it should take one argument--the', ' actual position of the keyword--and return `True` or `False`. This', ' can be used for custom evaluation. For example if', " ``pos=lambda idx: idx > 10`` this will check that the keyword's", ' index is greater than 10.', '', ' **test** : callable', '', ' This should be a callable (generally a function) that is passed the', ' value of the given keyword and returns `True` or `False`. This can', ' be used to validate the value associated with the given keyword.', '', ' **fix_value** : str, int, float, complex, bool, None', '', ' A valid value for a FITS keyword to to use if the given ``test``', ' fails to replace an invalid value. In other words, this provides', " a default value to use as a replacement if the keyword's current", ' value is invalid. If `None`, there is no replacement value and the', ' keyword is unfixable.', '', ' **option** : str', '', ' Output verification option. Must be one of ``"fix"``,', ' ``"silentfix"``, ``"ignore"``, ``"warn"``, or', ' ``"exception"``. May also be any combination of ``"fix"`` or', ' ``"silentfix"`` with ``"+ignore"``, ``+warn``, or ``+exception"', ' (e.g. ``"fix+warn"``). See :ref:`verify` for more info.', '', ' **errlist** : list', '', ' A list of validation errors already found in the FITS file; this is', ' used primarily for the validation system to collect errors across', ' multiple HDUs and multiple calls to `req_cards`.', '', '.. rubric:: Notes', '', 'If ``pos=None``, the card can be anywhere in the header. If the card', 'does not exist, the new card will have the ``fix_value`` as its value', "when created. Also check the card's value by using the ``test``", 'argument.']:24: WARNING: py:obj reference target not found: True ['GroupsHDU.req_cards(keyword, pos, test, fix_value, option, errlist)', ':module: astropy.io.fits', '', 'Check the existence, location, and value of a required `Card`.', '', ':Parameters:', '', ' **keyword** : str', '', ' The keyword to validate', '', ' **pos** : int, callable', '', ' If an ``int``, this specifies the exact location this card should', ' have in the header. Remember that Python is zero-indexed, so this', ' means ``pos=0`` requires the card to be the first card in the', ' header. If given a callable, it should take one argument--the', ' actual position of the keyword--and return `True` or `False`. This', ' can be used for custom evaluation. For example if', " ``pos=lambda idx: idx > 10`` this will check that the keyword's", ' index is greater than 10.', '', ' **test** : callable', '', ' This should be a callable (generally a function) that is passed the', ' value of the given keyword and returns `True` or `False`. This can', ' be used to validate the value associated with the given keyword.', '', ' **fix_value** : str, int, float, complex, bool, None', '', ' A valid value for a FITS keyword to to use if the given ``test``', ' fails to replace an invalid value. In other words, this provides', " a default value to use as a replacement if the keyword's current", ' value is invalid. If `None`, there is no replacement value and the', ' keyword is unfixable.', '', ' **option** : str', '', ' Output verification option. Must be one of ``"fix"``,', ' ``"silentfix"``, ``"ignore"``, ``"warn"``, or', ' ``"exception"``. May also be any combination of ``"fix"`` or', ' ``"silentfix"`` with ``"+ignore"``, ``+warn``, or ``+exception"', ' (e.g. ``"fix+warn"``). See :ref:`verify` for more info.', '', ' **errlist** : list', '', ' A list of validation errors already found in the FITS file; this is', ' used primarily for the validation system to collect errors across', ' multiple HDUs and multiple calls to `req_cards`.', '', '.. rubric:: Notes', '', 'If ``pos=None``, the card can be anywhere in the header. If the card', 'does not exist, the new card will have the ``fix_value`` as its value', "when created. Also check the card's value by using the ``test``", 'argument.']:24: WARNING: py:obj reference target not found: False ['GroupsHDU.req_cards(keyword, pos, test, fix_value, option, errlist)', ':module: astropy.io.fits', '', 'Check the existence, location, and value of a required `Card`.', '', ':Parameters:', '', ' **keyword** : str', '', ' The keyword to validate', '', ' **pos** : int, callable', '', ' If an ``int``, this specifies the exact location this card should', ' have in the header. Remember that Python is zero-indexed, so this', ' means ``pos=0`` requires the card to be the first card in the', ' header. If given a callable, it should take one argument--the', ' actual position of the keyword--and return `True` or `False`. This', ' can be used for custom evaluation. For example if', " ``pos=lambda idx: idx > 10`` this will check that the keyword's", ' index is greater than 10.', '', ' **test** : callable', '', ' This should be a callable (generally a function) that is passed the', ' value of the given keyword and returns `True` or `False`. This can', ' be used to validate the value associated with the given keyword.', '', ' **fix_value** : str, int, float, complex, bool, None', '', ' A valid value for a FITS keyword to to use if the given ``test``', ' fails to replace an invalid value. In other words, this provides', " a default value to use as a replacement if the keyword's current", ' value is invalid. If `None`, there is no replacement value and the', ' keyword is unfixable.', '', ' **option** : str', '', ' Output verification option. Must be one of ``"fix"``,', ' ``"silentfix"``, ``"ignore"``, ``"warn"``, or', ' ``"exception"``. May also be any combination of ``"fix"`` or', ' ``"silentfix"`` with ``"+ignore"``, ``+warn``, or ``+exception"', ' (e.g. ``"fix+warn"``). See :ref:`verify` for more info.', '', ' **errlist** : list', '', ' A list of validation errors already found in the FITS file; this is', ' used primarily for the validation system to collect errors across', ' multiple HDUs and multiple calls to `req_cards`.', '', '.. rubric:: Notes', '', 'If ``pos=None``, the card can be anywhere in the header. If the card', 'does not exist, the new card will have the ``fix_value`` as its value', "when created. Also check the card's value by using the ``test``", 'argument.']:30: WARNING: py:obj reference target not found: None ["GroupsHDU.scale(type=None, option='old', bscale=None, bzero=None)", ':module: astropy.io.fits', '', 'Scale image data by using ``BSCALE``/``BZERO``.', '', 'Call to this method will scale `data` and update the keywords of', "``BSCALE`` and ``BZERO`` in the HDU's header. This method should only", 'be used right before writing to the output file, as the data will be', 'scaled and is therefore not very usable after the call.', '', ':Parameters:', '', ' **type** : str, optional', '', ' destination data type, use a string representing a numpy', " dtype name, (e.g. ``'uint8'``, ``'int16'``, ``'float32'``", ' etc.). If is `None`, use the current data type.', '', ' **option** : str, optional', '', ' How to scale the data: ``"old"`` uses the original ``BSCALE`` and', ' ``BZERO`` values from when the data was read/created (defaulting to', ' 1 and 0 if they don\'t exist). For integer data only, ``"minmax"``', ' uses the minimum and maximum of the data to scale. User-specified', ' ``bscale``/``bzero`` values always take precedence.', '', ' **bscale, bzero** : int, optional', '', ' User-specified ``BSCALE`` and ``BZERO`` values']:14: WARNING: py:obj reference target not found: None ["GroupsHDU.writeto(name, output_verify='exception', overwrite=False, checksum=False)", ':module: astropy.io.fits', '', 'Write the HDU to a new file. This is a convenience method to', 'provide a user easier output interface if only one HDU needs', 'to be written to a file.', '', ':Parameters:', '', ' **name** : file path, file object or file-like object', '', ' Output FITS file. If the file object is already opened, it must', ' be opened in a writeable mode.', '', ' **output_verify** : str', '', ' Output verification option. Must be one of ``"fix"``,', ' ``"silentfix"``, ``"ignore"``, ``"warn"``, or', ' ``"exception"``. May also be any combination of ``"fix"`` or', ' ``"silentfix"`` with ``"+ignore"``, ``+warn``, or ``+exception"', ' (e.g. ``"fix+warn"``). See :ref:`verify` for more info.', '', ' **overwrite** : bool, optional', '', ' If ``True``, overwrite the output file if it exists. Raises an', ' ``OSError`` (``IOError`` for Python 2) if ``False`` and the', ' output file exists. Default is ``False``.', '', ' .. versionchanged:: 1.3', ' ``overwrite`` replaces the deprecated ``clobber`` argument.', '', ' **checksum** : bool', '', ' When `True` adds both ``DATASUM`` and ``CHECKSUM`` cards', ' to the header of the HDU when written to the file.']:33: WARNING: py:obj reference target not found: True /<>/docs/io/fits/api/hdus.rst:18: WARNING: py:obj reference target not found: numpy.ndarray ['GroupData.data', ':module: astropy.io.fits', '', 'The raw group data represented as a multi-dimensional `numpy.ndarray`', 'array.']:3: WARNING: py:obj reference target not found: numpy.ndarray /<>/docs/io/fits/api/hdus.rst:7: WARNING: py:class reference target not found: object ['StreamingHDU.write(data)', ':module: astropy.io.fits', '', 'Write the given data to the stream.', '', ':Parameters:', '', ' **data** : ndarray', '', ' Data to stream to the file.', '', ':Returns:', '', ' **writecomplete** : int', '', ' Flag that when `True` indicates that all of the required', ' data has been written to the stream.', '', '.. rubric:: Notes', '', 'Only the amount of data specified in the header provided to the class', 'constructor may be written to the stream. If the provided data would', 'cause the stream to overflow, an `IOError` exception is', 'raised and the data is not written. Once sufficient data has been', 'written to the stream to satisfy the amount specified in the header,', 'the stream is padded to fill a complete FITS block and no more data', 'will be accepted. An attempt to write more data after the stream has', 'been filled will raise an `IOError` exception. If the', 'dtype of the input data does not match what is expected by the header,', 'a `TypeError` exception is raised.']:15: WARNING: py:obj reference target not found: True ['StreamingHDU.write(data)', ':module: astropy.io.fits', '', 'Write the given data to the stream.', '', ':Parameters:', '', ' **data** : ndarray', '', ' Data to stream to the file.', '', ':Returns:', '', ' **writecomplete** : int', '', ' Flag that when `True` indicates that all of the required', ' data has been written to the stream.', '', '.. rubric:: Notes', '', 'Only the amount of data specified in the header provided to the class', 'constructor may be written to the stream. If the provided data would', 'cause the stream to overflow, an `IOError` exception is', 'raised and the data is not written. Once sufficient data has been', 'written to the stream to satisfy the amount specified in the header,', 'the stream is padded to fill a complete FITS block and no more data', 'will be accepted. An attempt to write more data after the stream has', 'been filled will raise an `IOError` exception. If the', 'dtype of the input data does not match what is expected by the header,', 'a `TypeError` exception is raised.']:20: WARNING: py:obj reference target not found: IOError ['StreamingHDU.write(data)', ':module: astropy.io.fits', '', 'Write the given data to the stream.', '', ':Parameters:', '', ' **data** : ndarray', '', ' Data to stream to the file.', '', ':Returns:', '', ' **writecomplete** : int', '', ' Flag that when `True` indicates that all of the required', ' data has been written to the stream.', '', '.. rubric:: Notes', '', 'Only the amount of data specified in the header provided to the class', 'constructor may be written to the stream. If the provided data would', 'cause the stream to overflow, an `IOError` exception is', 'raised and the data is not written. Once sufficient data has been', 'written to the stream to satisfy the amount specified in the header,', 'the stream is padded to fill a complete FITS block and no more data', 'will be accepted. An attempt to write more data after the stream has', 'been filled will raise an `IOError` exception. If the', 'dtype of the input data does not match what is expected by the header,', 'a `TypeError` exception is raised.']:20: WARNING: py:obj reference target not found: IOError ['StreamingHDU.write(data)', ':module: astropy.io.fits', '', 'Write the given data to the stream.', '', ':Parameters:', '', ' **data** : ndarray', '', ' Data to stream to the file.', '', ':Returns:', '', ' **writecomplete** : int', '', ' Flag that when `True` indicates that all of the required', ' data has been written to the stream.', '', '.. rubric:: Notes', '', 'Only the amount of data specified in the header provided to the class', 'constructor may be written to the stream. If the provided data would', 'cause the stream to overflow, an `IOError` exception is', 'raised and the data is not written. Once sufficient data has been', 'written to the stream to satisfy the amount specified in the header,', 'the stream is padded to fill a complete FITS block and no more data', 'will be accepted. An attempt to write more data after the stream has', 'been filled will raise an `IOError` exception. If the', 'dtype of the input data does not match what is expected by the header,', 'a `TypeError` exception is raised.']:20: WARNING: py:obj reference target not found: TypeError /<>/docs/io/fits/api/headers.rst:7: WARNING: py:class reference target not found: object ['Header(cards=[], copy=False)', ':module: astropy.io.fits', '', 'Bases: :class:`object`', '', '', '', 'FITS header class. This class exposes both a dict-like interface and a', 'list-like interface to FITS headers.', '', 'The header may be indexed by keyword and, like a dict, the associated value', 'will be returned. When the header contains cards with duplicate keywords,', 'only the value of the first card with the given keyword will be returned.', 'It is also possible to use a 2-tuple as the index in the form (keyword,', 'n)--this returns the n-th value with that keyword, in the case where there', 'are duplicate keywords.', '', 'For example::', '', " >>> header['NAXIS']", ' 0', " >>> header[('FOO', 1)] # Return the value of the second FOO keyword", " 'foo'", '', 'The header may also be indexed by card number::', '', ' >>> header[0] # Return the value of the first card in the header', " 'T'", '', 'Commentary keywords such as HISTORY and COMMENT are special cases: When', "indexing the Header object with either 'HISTORY' or 'COMMENT' a list of all", 'the HISTORY/COMMENT values is returned::', '', " >>> header['HISTORY']", ' This is the first history entry in this header.', ' This is the second history entry in this header.', ' ...', '', 'See the Astropy documentation for more details on working with headers.', '', '', '', 'Construct a `Header` from an iterable and/or text file.', '', '', ':Parameters:', '', ' **cards** : A list of `Card` objects, optional', '', ' The cards to initialize the header with. Also allowed are other', ' `Header` (or `dict`-like) objects.', ' ', ' .. versionchanged:: 1.2', ' Allowed ``cards`` to be a `dict`-like object.', ' ', '', ' **copy** : bool, optional', '', ' ', ' If ``True`` copies the ``cards`` if they were another `Header`', ' instance.', ' Default is ``False``.', ' ', ' .. versionadded:: 1.3', '', '', ".. py:method:: Header.add_blank(value='', before=None, after=None)", ' :module: astropy.io.fits', '', ' ', ' ', ' Add a blank card.', ' ', ' ', ' :Parameters:', ' ', ' **value** : str, optional', ' ', ' Text to be added.', ' ', ' ', ' **before** : str or int, optional', ' ', ' Same as in `Header.update`', ' ', ' ', ' **after** : str or int, optional', ' ', ' Same as in `Header.update`', ' ', '', '.. py:method:: Header.add_comment(value, before=None, after=None)', ' :module: astropy.io.fits', '', ' ', ' ', ' Add a ``COMMENT`` card.', ' ', ' ', ' :Parameters:', ' ', ' **value** : str', ' ', ' Text to be added.', ' ', ' ', ' **before** : str or int, optional', ' ', ' Same as in `Header.update`', ' ', ' ', ' **after** : str or int, optional', ' ', ' Same as in `Header.update`', ' ', '', '.. py:method:: Header.add_history(value, before=None, after=None)', ' :module: astropy.io.fits', '', ' ', ' ', ' Add a ``HISTORY`` card.', ' ', ' ', ' :Parameters:', ' ', ' **value** : str', ' ', ' History text to be added.', ' ', ' ', ' **before** : str or int, optional', ' ', ' Same as in `Header.update`', ' ', ' ', ' **after** : str or int, optional', ' ', ' Same as in `Header.update`', ' ', '', '.. py:method:: Header.append(card=None, useblanks=True, bottom=False, end=False)', ' :module: astropy.io.fits', '', ' ', ' ', ' Appends a new keyword+value card to the end of the Header, similar', ' to `list.append`.', ' ', ' By default if the last cards in the Header have commentary keywords,', ' this will append the new keyword before the commentary (unless the new', ' keyword is also commentary).', ' ', ' Also differs from `list.append` in that it can be called with no', ' arguments: In this case a blank card is appended to the end of the', ' Header. In the case all the keyword arguments are ignored.', ' ', ' :Parameters:', ' ', ' **card** : str, tuple', ' ', ' A keyword or a (keyword, value, [comment]) tuple representing a', ' single header card; the comment is optional in which case a', ' 2-tuple may be used', ' ', ' ', ' **useblanks** : bool, optional', ' ', ' If there are blank cards at the end of the Header, replace the', ' first blank card so that the total number of cards in the Header', ' does not increase. Otherwise preserve the number of blank cards.', ' ', ' ', ' **bottom** : bool, optional', ' ', ' If True, instead of appending after the last non-commentary card,', ' append after the last non-blank card.', ' ', ' ', ' **end** : bool, optional', ' ', ' If True, ignore the useblanks and bottom options, and append at the', ' very end of the Header.', ' ', '', '.. py:attribute:: Header.cards', ' :module: astropy.io.fits', '', ' ', ' ', ' The underlying physical cards that make up this Header; it can be', ' looked at, but it should not be modified directly.', ' ', ' ', '', '.. py:method:: Header.clear()', ' :module: astropy.io.fits', '', ' ', ' ', ' Remove all cards from the header.', ' ', ' ', '', '.. py:attribute:: Header.comments', ' :module: astropy.io.fits', '', ' ', ' ', ' View the comments associated with each keyword, if any.', ' ', ' For example, to see the comment on the NAXIS keyword:', ' ', " >>> header.comments['NAXIS']", ' number of data axes', ' ', ' Comments can also be updated through this interface:', ' ', " >>> header.comments['NAXIS'] = 'Number of data axes'", ' ', '', '.. py:method:: Header.copy(strip=False)', ' :module: astropy.io.fits', '', ' ', ' ', ' Make a copy of the :class:`Header`.', ' ', ' .. versionchanged:: 1.3', ' `copy.copy` and `copy.deepcopy` on a `Header` will call this', ' method.', ' ', ' :Parameters:', ' ', ' **strip** : bool, optional', ' ', ' If `True`, strip any headers that are specific to one of the', ' standard HDU types, so that this header can be used in a different', ' HDU.', ' ', ' :Returns:', ' ', ' header', ' ', ' A new :class:`Header` instance.', ' ', '', '.. py:method:: Header.count(keyword)', ' :module: astropy.io.fits', '', ' ', ' ', ' Returns the count of the given keyword in the header, similar to', ' `list.count` if the Header object is treated as a list of keywords.', ' ', ' ', ' :Parameters:', ' ', ' **keyword** : str', ' ', ' The keyword to count instances of in the header', ' ', '', '.. py:method:: Header.extend(cards, strip=True, unique=False, update=False, update_first=False, useblanks=True, bottom=False, end=False)', ' :module: astropy.io.fits', '', ' ', ' ', ' Appends multiple keyword+value cards to the end of the header, similar', ' to `list.extend`.', ' ', ' ', ' :Parameters:', ' ', ' **cards** : iterable', ' ', ' An iterable of (keyword, value, [comment]) tuples; see', ' `Header.append`.', ' ', ' ', ' **strip** : bool, optional', ' ', ' Remove any keywords that have meaning only to specific types of', ' HDUs, so that only more general keywords are added from extension', ' Header or Card list (default: `True`).', ' ', ' ', ' **unique** : bool, optional', ' ', ' If `True`, ensures that no duplicate keywords are appended;', ' keywords already in this header are simply discarded. The', ' exception is commentary keywords (COMMENT, HISTORY, etc.): they are', ' only treated as duplicates if their values match.', ' ', ' ', ' **update** : bool, optional', ' ', ' If `True`, update the current header with the values and comments', ' from duplicate keywords in the input header. This supercedes the', ' ``unique`` argument. Commentary keywords are treated the same as', ' if ``unique=True``.', ' ', ' ', ' **update_first** : bool, optional', ' ', " If the first keyword in the header is 'SIMPLE', and the first", " keyword in the input header is 'XTENSION', the 'SIMPLE' keyword is", " replaced by the 'XTENSION' keyword. Likewise if the first keyword", " in the header is 'XTENSION' and the first keyword in the input", " header is 'SIMPLE', the 'XTENSION' keyword is replaced by the", " 'SIMPLE' keyword. This behavior is otherwise dumb as to whether or", ' not the resulting header is a valid primary or extension header.', ' This is mostly provided to support backwards compatibility with the', ' old ``Header.fromTxtFile`` method, and only applies if', ' ``update=True``.', ' ', ' ', ' **useblanks, bottom, end** : bool, optional', ' ', ' These arguments are passed to :meth:`Header.append` while appending', ' new cards to the header.', ' ', '', ".. py:classmethod:: Header.fromfile(fileobj, sep='', endcard=True, padding=True)", ' :module: astropy.io.fits', '', ' ', ' ', ' Similar to :meth:`Header.fromstring`, but reads the header string from', ' a given file-like object or filename.', ' ', ' ', ' :Parameters:', ' ', ' **fileobj** : str, file-like', ' ', ' A filename or an open file-like object from which a FITS header is', ' to be read. For open file handles the file pointer must be at the', ' beginning of the header.', ' ', ' ', ' **sep** : str, optional', ' ', ' The string separating cards from each other, such as a newline. By', ' default there is no card separator (as is the case in a raw FITS', ' file).', ' ', ' ', ' **endcard** : bool, optional', ' ', ' If True (the default) the header must end with an END card in order', ' to be considered valid. If an END card is not found an', ' `IOError` is raised.', ' ', ' ', ' **padding** : bool, optional', ' ', ' If True (the default) the header will be required to be padded out', ' to a multiple of 2880, the FITS header block size. Otherwise any', ' padding, or lack thereof, is ignored.', ' ', ' :Returns:', ' ', ' header', ' ', ' A new `Header` instance.', ' ', '', '.. py:classmethod:: Header.fromkeys(iterable, value=None)', ' :module: astropy.io.fits', '', ' ', ' ', ' Similar to :meth:`dict.fromkeys`--creates a new `Header` from an', ' iterable of keywords and an optional default value.', ' ', ' This method is not likely to be particularly useful for creating real', ' world FITS headers, but it is useful for testing.', ' ', ' :Parameters:', ' ', ' **iterable**', ' ', ' Any iterable that returns strings representing FITS keywords.', ' ', ' ', ' **value** : optional', ' ', ' A default value to assign to each keyword; must be a valid type for', ' FITS keywords.', ' ', ' :Returns:', ' ', ' header', ' ', ' A new `Header` instance.', ' ', '', ".. py:classmethod:: Header.fromstring(data, sep='')", ' :module: astropy.io.fits', '', ' ', ' ', ' Creates an HDU header from a byte string containing the entire header', ' data.', ' ', ' ', ' :Parameters:', ' ', ' **data** : str', ' ', ' String containing the entire header.', ' ', ' ', ' **sep** : str, optional', ' ', ' The string separating cards from each other, such as a newline. By', ' default there is no card separator (as is the case in a raw FITS', ' file).', ' ', ' :Returns:', ' ', ' header', ' ', ' A new `Header` instance.', ' ', '', '.. py:classmethod:: Header.fromtextfile(fileobj, endcard=False)', ' :module: astropy.io.fits', '', ' ', ' ', ' Read a header from a simple text file or file-like object.', ' ', ' Equivalent to::', ' ', " >>> Header.fromfile(fileobj, sep='\\n', endcard=False,", ' ... padding=False)', ' ', ' .. seealso::', ' ', ' ', ' :obj:`fromfile`', ' ', '', '.. py:method:: Header.get(key, default=None)', ' :module: astropy.io.fits', '', ' ', ' ', ' Similar to :meth:`dict.get`--returns the value associated with keyword', ' in the header, or a default value if the keyword is not found.', ' ', ' ', ' :Parameters:', ' ', ' **key** : str', ' ', ' A keyword that may or may not be in the header.', ' ', ' ', ' **default** : optional', ' ', ' A default value to return if the keyword is not found in the', ' header.', ' ', ' :Returns:', ' ', ' value', ' ', ' The value associated with the given keyword, or the default value', ' if the keyword is not in the header.', ' ', '', '.. py:method:: Header.index(keyword, start=None, stop=None)', ' :module: astropy.io.fits', '', ' ', ' ', ' Returns the index if the first instance of the given keyword in the', ' header, similar to `list.index` if the Header object is treated as a', ' list of keywords.', ' ', ' ', ' :Parameters:', ' ', ' **keyword** : str', ' ', ' The keyword to look up in the list of all keywords in the header', ' ', ' ', ' **start** : int, optional', ' ', ' The lower bound for the index', ' ', ' ', ' **stop** : int, optional', ' ', ' The upper bound for the index', ' ', '', '.. py:method:: Header.insert(key, card, useblanks=True, after=False)', ' :module: astropy.io.fits', '', ' ', ' ', ' Inserts a new keyword+value card into the Header at a given location,', ' similar to `list.insert`.', ' ', ' ', ' :Parameters:', ' ', ' **key** : int, str, or tuple', ' ', ' The index into the list of header keywords before which the', ' new keyword should be inserted, or the name of a keyword before', ' which the new keyword should be inserted. Can also accept a', ' (keyword, index) tuple for inserting around duplicate keywords.', ' ', ' ', ' **card** : str, tuple', ' ', ' A keyword or a (keyword, value, [comment]) tuple; see', ' `Header.append`', ' ', ' ', ' **useblanks** : bool, optional', ' ', ' If there are blank cards at the end of the Header, replace the', ' first blank card so that the total number of cards in the Header', ' does not increase. Otherwise preserve the number of blank cards.', ' ', ' ', ' **after** : bool, optional', ' ', ' If set to `True`, insert *after* the specified index or keyword,', ' rather than before it. Defaults to `False`.', ' ', '', '.. py:method:: Header.items()', ' :module: astropy.io.fits', '', ' ', ' ', ' Like :meth:`dict.iteritems`.', ' ', ' ', '', '.. py:method:: Header.keys()', ' :module: astropy.io.fits', '', ' ', ' ', ' Like :meth:`dict.iterkeys`--iterating directly over the `Header`', ' instance has the same behavior.', ' ', ' ', '', '.. py:method:: Header.pop(*args)', ' :module: astropy.io.fits', '', ' ', ' ', ' Works like :meth:`list.pop` if no arguments or an index argument are', ' supplied; otherwise works like :meth:`dict.pop`.', ' ', ' ', '', '.. py:method:: Header.popitem()', ' :module: astropy.io.fits', '', ' ', ' ', ' Similar to :meth:`dict.popitem`.', ' ', ' ', '', '.. py:method:: Header.remove(keyword, ignore_missing=False, remove_all=False)', ' :module: astropy.io.fits', '', ' ', ' ', ' Removes the first instance of the given keyword from the header similar', ' to `list.remove` if the Header object is treated as a list of keywords.', ' ', ' ', ' :Parameters:', ' ', ' **keyword** : str', ' ', ' The keyword of which to remove the first instance in the header.', ' ', ' ', ' **ignore_missing** : bool, optional', ' ', ' When True, ignores missing keywords. Otherwise, if the keyword', ' is not present in the header a KeyError is raised.', ' ', ' ', ' **remove_all** : bool, optional', ' ', ' When True, all instances of keyword will be removed.', ' Otherwise only the first instance of the given keyword is removed.', ' ', '', '.. py:method:: Header.rename_keyword(oldkeyword, newkeyword, force=False)', ' :module: astropy.io.fits', '', ' ', ' ', " Rename a card's keyword in the header.", ' ', ' ', ' :Parameters:', ' ', ' **oldkeyword** : str or int', ' ', ' Old keyword or card index', ' ', ' ', ' **newkeyword** : str', ' ', ' New keyword', ' ', ' ', ' **force** : bool, optional', ' ', ' When `True`, if the new keyword already exists in the header, force', ' the creation of a duplicate keyword. Otherwise a', ' `ValueError` is raised.', ' ', '', '.. py:method:: Header.set(keyword, value=None, comment=None, before=None, after=None)', ' :module: astropy.io.fits', '', ' ', ' ', ' Set the value and/or comment and/or position of a specified keyword.', ' ', ' If the keyword does not already exist in the header, a new keyword is', ' created in the specified position, or appended to the end of the header', ' if no position is specified.', ' ', ' This method is similar to :meth:`Header.update` prior to PyFITS 3.1', ' / Astropy v0.1.', ' ', ' .. note::', ' It should be noted that ``header.set(keyword, value)`` and', ' ``header.set(keyword, value, comment)`` are equivalent to', ' ``header[keyword] = value`` and', ' ``header[keyword] = (value, comment)`` respectively.', ' ', ' New keywords can also be inserted relative to existing keywords', ' using, for example::', ' ', " >>> header.insert('NAXIS1', ('NAXIS', 2, 'Number of axes'))", ' ', ' to insert before an existing keyword, or::', ' ', " >>> header.insert('NAXIS', ('NAXIS1', 4096), after=True)", ' ', ' to insert after an existing keyword.', ' ', ' The only advantage of using :meth:`Header.set` is that it', ' easily replaces the old usage of :meth:`Header.update` both', ' conceptually and in terms of function signature.', ' ', ' :Parameters:', ' ', ' **keyword** : str', ' ', ' A header keyword', ' ', ' ', ' **value** : str, optional', ' ', ' The value to set for the given keyword; if None the existing value', " is kept, but '' may be used to set a blank value", ' ', ' ', ' **comment** : str, optional', ' ', ' The comment to set for the given keyword; if None the existing', " comment is kept, but ``''`` may be used to set a blank comment", ' ', ' ', ' **before** : str, int, optional', ' ', ' Name of the keyword, or index of the `Card` before which this card', ' should be located in the header. The argument ``before`` takes', ' precedence over ``after`` if both specified.', ' ', ' ', ' **after** : str, int, optional', ' ', ' Name of the keyword, or index of the `Card` after which this card', ' should be located in the header.', ' ', '', '.. py:method:: Header.setdefault(key, default=None)', ' :module: astropy.io.fits', '', ' ', ' ', ' Similar to :meth:`dict.setdefault`.', ' ', ' ', '', ".. py:method:: Header.tofile(fileobj, sep='', endcard=True, padding=True, overwrite=False)", ' :module: astropy.io.fits', '', ' ', ' ', ' Writes the header to file or file-like object.', ' ', ' By default this writes the header exactly as it would be written to a', ' FITS file, with the END card included and padding to the next multiple', ' of 2880 bytes. However, aspects of this may be controlled.', ' ', ' :Parameters:', ' ', ' **fileobj** : str, file, optional', ' ', ' Either the pathname of a file, or an open file handle or file-like', ' object', ' ', ' ', ' **sep** : str, optional', ' ', ' The character or string with which to separate cards. By default', " there is no separator, but one could use ``'\\\\n'``, for example, to", ' separate each card with a new line', ' ', ' ', ' **endcard** : bool, optional', ' ', ' If `True` (default) adds the END card to the end of the header', ' string', ' ', ' ', ' **padding** : bool, optional', ' ', ' If `True` (default) pads the string with spaces out to the next', ' multiple of 2880 characters', ' ', ' ', ' **overwrite** : bool, optional', ' ', ' If ``True``, overwrite the output file if it exists. Raises an', ' ``OSError`` (``IOError`` for Python 2) if ``False`` and the', ' output file exists. Default is ``False``.', ' ', ' .. versionchanged:: 1.3', ' ``overwrite`` replaces the deprecated ``clobber`` argument.', ' ', '', ".. py:method:: Header.tostring(sep='', endcard=True, padding=True)", ' :module: astropy.io.fits', '', ' ', ' ', ' Returns a string representation of the header.', ' ', ' By default this uses no separator between cards, adds the END card, and', ' pads the string with spaces to the next multiple of 2880 bytes. That', ' is, it returns the header exactly as it would appear in a FITS file.', ' ', ' :Parameters:', ' ', ' **sep** : str, optional', ' ', ' The character or string with which to separate cards. By default', " there is no separator, but one could use ``'\\\\n'``, for example, to", ' separate each card with a new line', ' ', ' ', ' **endcard** : bool, optional', ' ', ' If True (default) adds the END card to the end of the header', ' string', ' ', ' ', ' **padding** : bool, optional', ' ', ' If True (default) pads the string with spaces out to the next', ' multiple of 2880 characters', ' ', ' :Returns:', ' ', ' **s** : str', ' ', ' A string representing a FITS header.', ' ', '', '.. py:method:: Header.totextfile(fileobj, endcard=False, overwrite=False)', ' :module: astropy.io.fits', '', ' ', ' ', ' Write the header as text to a file or a file-like object.', ' ', ' Equivalent to::', ' ', " >>> Header.tofile(fileobj, sep='\\n', endcard=False,", ' ... padding=False, overwrite=overwrite)', ' ', ' .. versionchanged:: 1.3', ' ``overwrite`` replaces the deprecated ``clobber`` argument.', ' ', ' .. seealso::', ' ', ' ', ' :obj:`tofile`', ' ', '', '.. py:method:: Header.update(*args, **kwargs)', ' :module: astropy.io.fits', '', ' ', ' ', ' Update the Header with new keyword values, updating the values of', ' existing keywords and appending new keywords otherwise; similar to', ' `dict.update`.', ' ', ' `update` accepts either a dict-like object or an iterable. In the', ' former case the keys must be header keywords and the values may be', ' either scalar values or (value, comment) tuples. In the case of an', ' iterable the items must be (keyword, value) tuples or (keyword, value,', ' comment) tuples.', ' ', ' Arbitrary arguments are also accepted, in which case the update() is', ' called again with the kwargs dict as its only argument. That is,', ' ', ' ::', ' ', ' >>> header.update(NAXIS1=100, NAXIS2=100)', ' ', ' is equivalent to::', ' ', " header.update({'NAXIS1': 100, 'NAXIS2': 100})", ' ', ' .. warning::', ' As this method works similarly to `dict.update` it is very', ' different from the ``Header.update()`` method in PyFITS versions', ' prior to 3.1.0 (or Astropy v0.1). Use of the old API was', ' **deprecated** for a long time and is now removed. Most uses of the', ' old API can be replaced as follows:', ' ', ' * Replace ::', ' ', ' header.update(keyword, value)', ' ', ' with ::', ' ', ' header[keyword] = value', ' ', ' * Replace ::', ' ', ' header.update(keyword, value, comment=comment)', ' ', ' with ::', ' ', ' header[keyword] = (value, comment)', ' ', ' * Replace ::', ' ', ' header.update(keyword, value, before=before_keyword)', ' ', ' with ::', ' ', ' header.insert(before_keyword, (keyword, value))', ' ', ' * Replace ::', ' ', ' header.update(keyword, value, after=after_keyword)', ' ', ' with ::', ' ', ' header.insert(after_keyword, (keyword, value),', ' after=True)', ' ', ' See also :meth:`Header.set` which is a new method that provides an', ' interface similar to the old ``Header.update()`` and may help make', ' transition a little easier.', ' ', '', '.. py:method:: Header.values()', ' :module: astropy.io.fits', '', ' ', ' ', ' Like :meth:`dict.itervalues`.']:44: WARNING: py:obj reference target not found: dict ['Header(cards=[], copy=False)', ':module: astropy.io.fits', '', 'Bases: :class:`object`', '', '', '', 'FITS header class. This class exposes both a dict-like interface and a', 'list-like interface to FITS headers.', '', 'The header may be indexed by keyword and, like a dict, the associated value', 'will be returned. When the header contains cards with duplicate keywords,', 'only the value of the first card with the given keyword will be returned.', 'It is also possible to use a 2-tuple as the index in the form (keyword,', 'n)--this returns the n-th value with that keyword, in the case where there', 'are duplicate keywords.', '', 'For example::', '', " >>> header['NAXIS']", ' 0', " >>> header[('FOO', 1)] # Return the value of the second FOO keyword", " 'foo'", '', 'The header may also be indexed by card number::', '', ' >>> header[0] # Return the value of the first card in the header', " 'T'", '', 'Commentary keywords such as HISTORY and COMMENT are special cases: When', "indexing the Header object with either 'HISTORY' or 'COMMENT' a list of all", 'the HISTORY/COMMENT values is returned::', '', " >>> header['HISTORY']", ' This is the first history entry in this header.', ' This is the second history entry in this header.', ' ...', '', 'See the Astropy documentation for more details on working with headers.', '', '', '', 'Construct a `Header` from an iterable and/or text file.', '', '', ':Parameters:', '', ' **cards** : A list of `Card` objects, optional', '', ' The cards to initialize the header with. Also allowed are other', ' `Header` (or `dict`-like) objects.', ' ', ' .. versionchanged:: 1.2', ' Allowed ``cards`` to be a `dict`-like object.', ' ', '', ' **copy** : bool, optional', '', ' ', ' If ``True`` copies the ``cards`` if they were another `Header`', ' instance.', ' Default is ``False``.', ' ', ' .. versionadded:: 1.3', '', '', ".. py:method:: Header.add_blank(value='', before=None, after=None)", ' :module: astropy.io.fits', '', ' ', ' ', ' Add a blank card.', ' ', ' ', ' :Parameters:', ' ', ' **value** : str, optional', ' ', ' Text to be added.', ' ', ' ', ' **before** : str or int, optional', ' ', ' Same as in `Header.update`', ' ', ' ', ' **after** : str or int, optional', ' ', ' Same as in `Header.update`', ' ', '', '.. py:method:: Header.add_comment(value, before=None, after=None)', ' :module: astropy.io.fits', '', ' ', ' ', ' Add a ``COMMENT`` card.', ' ', ' ', ' :Parameters:', ' ', ' **value** : str', ' ', ' Text to be added.', ' ', ' ', ' **before** : str or int, optional', ' ', ' Same as in `Header.update`', ' ', ' ', ' **after** : str or int, optional', ' ', ' Same as in `Header.update`', ' ', '', '.. py:method:: Header.add_history(value, before=None, after=None)', ' :module: astropy.io.fits', '', ' ', ' ', ' Add a ``HISTORY`` card.', ' ', ' ', ' :Parameters:', ' ', ' **value** : str', ' ', ' History text to be added.', ' ', ' ', ' **before** : str or int, optional', ' ', ' Same as in `Header.update`', ' ', ' ', ' **after** : str or int, optional', ' ', ' Same as in `Header.update`', ' ', '', '.. py:method:: Header.append(card=None, useblanks=True, bottom=False, end=False)', ' :module: astropy.io.fits', '', ' ', ' ', ' Appends a new keyword+value card to the end of the Header, similar', ' to `list.append`.', ' ', ' By default if the last cards in the Header have commentary keywords,', ' this will append the new keyword before the commentary (unless the new', ' keyword is also commentary).', ' ', ' Also differs from `list.append` in that it can be called with no', ' arguments: In this case a blank card is appended to the end of the', ' Header. In the case all the keyword arguments are ignored.', ' ', ' :Parameters:', ' ', ' **card** : str, tuple', ' ', ' A keyword or a (keyword, value, [comment]) tuple representing a', ' single header card; the comment is optional in which case a', ' 2-tuple may be used', ' ', ' ', ' **useblanks** : bool, optional', ' ', ' If there are blank cards at the end of the Header, replace the', ' first blank card so that the total number of cards in the Header', ' does not increase. Otherwise preserve the number of blank cards.', ' ', ' ', ' **bottom** : bool, optional', ' ', ' If True, instead of appending after the last non-commentary card,', ' append after the last non-blank card.', ' ', ' ', ' **end** : bool, optional', ' ', ' If True, ignore the useblanks and bottom options, and append at the', ' very end of the Header.', ' ', '', '.. py:attribute:: Header.cards', ' :module: astropy.io.fits', '', ' ', ' ', ' The underlying physical cards that make up this Header; it can be', ' looked at, but it should not be modified directly.', ' ', ' ', '', '.. py:method:: Header.clear()', ' :module: astropy.io.fits', '', ' ', ' ', ' Remove all cards from the header.', ' ', ' ', '', '.. py:attribute:: Header.comments', ' :module: astropy.io.fits', '', ' ', ' ', ' View the comments associated with each keyword, if any.', ' ', ' For example, to see the comment on the NAXIS keyword:', ' ', " >>> header.comments['NAXIS']", ' number of data axes', ' ', ' Comments can also be updated through this interface:', ' ', " >>> header.comments['NAXIS'] = 'Number of data axes'", ' ', '', '.. py:method:: Header.copy(strip=False)', ' :module: astropy.io.fits', '', ' ', ' ', ' Make a copy of the :class:`Header`.', ' ', ' .. versionchanged:: 1.3', ' `copy.copy` and `copy.deepcopy` on a `Header` will call this', ' method.', ' ', ' :Parameters:', ' ', ' **strip** : bool, optional', ' ', ' If `True`, strip any headers that are specific to one of the', ' standard HDU types, so that this header can be used in a different', ' HDU.', ' ', ' :Returns:', ' ', ' header', ' ', ' A new :class:`Header` instance.', ' ', '', '.. py:method:: Header.count(keyword)', ' :module: astropy.io.fits', '', ' ', ' ', ' Returns the count of the given keyword in the header, similar to', ' `list.count` if the Header object is treated as a list of keywords.', ' ', ' ', ' :Parameters:', ' ', ' **keyword** : str', ' ', ' The keyword to count instances of in the header', ' ', '', '.. py:method:: Header.extend(cards, strip=True, unique=False, update=False, update_first=False, useblanks=True, bottom=False, end=False)', ' :module: astropy.io.fits', '', ' ', ' ', ' Appends multiple keyword+value cards to the end of the header, similar', ' to `list.extend`.', ' ', ' ', ' :Parameters:', ' ', ' **cards** : iterable', ' ', ' An iterable of (keyword, value, [comment]) tuples; see', ' `Header.append`.', ' ', ' ', ' **strip** : bool, optional', ' ', ' Remove any keywords that have meaning only to specific types of', ' HDUs, so that only more general keywords are added from extension', ' Header or Card list (default: `True`).', ' ', ' ', ' **unique** : bool, optional', ' ', ' If `True`, ensures that no duplicate keywords are appended;', ' keywords already in this header are simply discarded. The', ' exception is commentary keywords (COMMENT, HISTORY, etc.): they are', ' only treated as duplicates if their values match.', ' ', ' ', ' **update** : bool, optional', ' ', ' If `True`, update the current header with the values and comments', ' from duplicate keywords in the input header. This supercedes the', ' ``unique`` argument. Commentary keywords are treated the same as', ' if ``unique=True``.', ' ', ' ', ' **update_first** : bool, optional', ' ', " If the first keyword in the header is 'SIMPLE', and the first", " keyword in the input header is 'XTENSION', the 'SIMPLE' keyword is", " replaced by the 'XTENSION' keyword. Likewise if the first keyword", " in the header is 'XTENSION' and the first keyword in the input", " header is 'SIMPLE', the 'XTENSION' keyword is replaced by the", " 'SIMPLE' keyword. This behavior is otherwise dumb as to whether or", ' not the resulting header is a valid primary or extension header.', ' This is mostly provided to support backwards compatibility with the', ' old ``Header.fromTxtFile`` method, and only applies if', ' ``update=True``.', ' ', ' ', ' **useblanks, bottom, end** : bool, optional', ' ', ' These arguments are passed to :meth:`Header.append` while appending', ' new cards to the header.', ' ', '', ".. py:classmethod:: Header.fromfile(fileobj, sep='', endcard=True, padding=True)", ' :module: astropy.io.fits', '', ' ', ' ', ' Similar to :meth:`Header.fromstring`, but reads the header string from', ' a given file-like object or filename.', ' ', ' ', ' :Parameters:', ' ', ' **fileobj** : str, file-like', ' ', ' A filename or an open file-like object from which a FITS header is', ' to be read. For open file handles the file pointer must be at the', ' beginning of the header.', ' ', ' ', ' **sep** : str, optional', ' ', ' The string separating cards from each other, such as a newline. By', ' default there is no card separator (as is the case in a raw FITS', ' file).', ' ', ' ', ' **endcard** : bool, optional', ' ', ' If True (the default) the header must end with an END card in order', ' to be considered valid. If an END card is not found an', ' `IOError` is raised.', ' ', ' ', ' **padding** : bool, optional', ' ', ' If True (the default) the header will be required to be padded out', ' to a multiple of 2880, the FITS header block size. Otherwise any', ' padding, or lack thereof, is ignored.', ' ', ' :Returns:', ' ', ' header', ' ', ' A new `Header` instance.', ' ', '', '.. py:classmethod:: Header.fromkeys(iterable, value=None)', ' :module: astropy.io.fits', '', ' ', ' ', ' Similar to :meth:`dict.fromkeys`--creates a new `Header` from an', ' iterable of keywords and an optional default value.', ' ', ' This method is not likely to be particularly useful for creating real', ' world FITS headers, but it is useful for testing.', ' ', ' :Parameters:', ' ', ' **iterable**', ' ', ' Any iterable that returns strings representing FITS keywords.', ' ', ' ', ' **value** : optional', ' ', ' A default value to assign to each keyword; must be a valid type for', ' FITS keywords.', ' ', ' :Returns:', ' ', ' header', ' ', ' A new `Header` instance.', ' ', '', ".. py:classmethod:: Header.fromstring(data, sep='')", ' :module: astropy.io.fits', '', ' ', ' ', ' Creates an HDU header from a byte string containing the entire header', ' data.', ' ', ' ', ' :Parameters:', ' ', ' **data** : str', ' ', ' String containing the entire header.', ' ', ' ', ' **sep** : str, optional', ' ', ' The string separating cards from each other, such as a newline. By', ' default there is no card separator (as is the case in a raw FITS', ' file).', ' ', ' :Returns:', ' ', ' header', ' ', ' A new `Header` instance.', ' ', '', '.. py:classmethod:: Header.fromtextfile(fileobj, endcard=False)', ' :module: astropy.io.fits', '', ' ', ' ', ' Read a header from a simple text file or file-like object.', ' ', ' Equivalent to::', ' ', " >>> Header.fromfile(fileobj, sep='\\n', endcard=False,", ' ... padding=False)', ' ', ' .. seealso::', ' ', ' ', ' :obj:`fromfile`', ' ', '', '.. py:method:: Header.get(key, default=None)', ' :module: astropy.io.fits', '', ' ', ' ', ' Similar to :meth:`dict.get`--returns the value associated with keyword', ' in the header, or a default value if the keyword is not found.', ' ', ' ', ' :Parameters:', ' ', ' **key** : str', ' ', ' A keyword that may or may not be in the header.', ' ', ' ', ' **default** : optional', ' ', ' A default value to return if the keyword is not found in the', ' header.', ' ', ' :Returns:', ' ', ' value', ' ', ' The value associated with the given keyword, or the default value', ' if the keyword is not in the header.', ' ', '', '.. py:method:: Header.index(keyword, start=None, stop=None)', ' :module: astropy.io.fits', '', ' ', ' ', ' Returns the index if the first instance of the given keyword in the', ' header, similar to `list.index` if the Header object is treated as a', ' list of keywords.', ' ', ' ', ' :Parameters:', ' ', ' **keyword** : str', ' ', ' The keyword to look up in the list of all keywords in the header', ' ', ' ', ' **start** : int, optional', ' ', ' The lower bound for the index', ' ', ' ', ' **stop** : int, optional', ' ', ' The upper bound for the index', ' ', '', '.. py:method:: Header.insert(key, card, useblanks=True, after=False)', ' :module: astropy.io.fits', '', ' ', ' ', ' Inserts a new keyword+value card into the Header at a given location,', ' similar to `list.insert`.', ' ', ' ', ' :Parameters:', ' ', ' **key** : int, str, or tuple', ' ', ' The index into the list of header keywords before which the', ' new keyword should be inserted, or the name of a keyword before', ' which the new keyword should be inserted. Can also accept a', ' (keyword, index) tuple for inserting around duplicate keywords.', ' ', ' ', ' **card** : str, tuple', ' ', ' A keyword or a (keyword, value, [comment]) tuple; see', ' `Header.append`', ' ', ' ', ' **useblanks** : bool, optional', ' ', ' If there are blank cards at the end of the Header, replace the', ' first blank card so that the total number of cards in the Header', ' does not increase. Otherwise preserve the number of blank cards.', ' ', ' ', ' **after** : bool, optional', ' ', ' If set to `True`, insert *after* the specified index or keyword,', ' rather than before it. Defaults to `False`.', ' ', '', '.. py:method:: Header.items()', ' :module: astropy.io.fits', '', ' ', ' ', ' Like :meth:`dict.iteritems`.', ' ', ' ', '', '.. py:method:: Header.keys()', ' :module: astropy.io.fits', '', ' ', ' ', ' Like :meth:`dict.iterkeys`--iterating directly over the `Header`', ' instance has the same behavior.', ' ', ' ', '', '.. py:method:: Header.pop(*args)', ' :module: astropy.io.fits', '', ' ', ' ', ' Works like :meth:`list.pop` if no arguments or an index argument are', ' supplied; otherwise works like :meth:`dict.pop`.', ' ', ' ', '', '.. py:method:: Header.popitem()', ' :module: astropy.io.fits', '', ' ', ' ', ' Similar to :meth:`dict.popitem`.', ' ', ' ', '', '.. py:method:: Header.remove(keyword, ignore_missing=False, remove_all=False)', ' :module: astropy.io.fits', '', ' ', ' ', ' Removes the first instance of the given keyword from the header similar', ' to `list.remove` if the Header object is treated as a list of keywords.', ' ', ' ', ' :Parameters:', ' ', ' **keyword** : str', ' ', ' The keyword of which to remove the first instance in the header.', ' ', ' ', ' **ignore_missing** : bool, optional', ' ', ' When True, ignores missing keywords. Otherwise, if the keyword', ' is not present in the header a KeyError is raised.', ' ', ' ', ' **remove_all** : bool, optional', ' ', ' When True, all instances of keyword will be removed.', ' Otherwise only the first instance of the given keyword is removed.', ' ', '', '.. py:method:: Header.rename_keyword(oldkeyword, newkeyword, force=False)', ' :module: astropy.io.fits', '', ' ', ' ', " Rename a card's keyword in the header.", ' ', ' ', ' :Parameters:', ' ', ' **oldkeyword** : str or int', ' ', ' Old keyword or card index', ' ', ' ', ' **newkeyword** : str', ' ', ' New keyword', ' ', ' ', ' **force** : bool, optional', ' ', ' When `True`, if the new keyword already exists in the header, force', ' the creation of a duplicate keyword. Otherwise a', ' `ValueError` is raised.', ' ', '', '.. py:method:: Header.set(keyword, value=None, comment=None, before=None, after=None)', ' :module: astropy.io.fits', '', ' ', ' ', ' Set the value and/or comment and/or position of a specified keyword.', ' ', ' If the keyword does not already exist in the header, a new keyword is', ' created in the specified position, or appended to the end of the header', ' if no position is specified.', ' ', ' This method is similar to :meth:`Header.update` prior to PyFITS 3.1', ' / Astropy v0.1.', ' ', ' .. note::', ' It should be noted that ``header.set(keyword, value)`` and', ' ``header.set(keyword, value, comment)`` are equivalent to', ' ``header[keyword] = value`` and', ' ``header[keyword] = (value, comment)`` respectively.', ' ', ' New keywords can also be inserted relative to existing keywords', ' using, for example::', ' ', " >>> header.insert('NAXIS1', ('NAXIS', 2, 'Number of axes'))", ' ', ' to insert before an existing keyword, or::', ' ', " >>> header.insert('NAXIS', ('NAXIS1', 4096), after=True)", ' ', ' to insert after an existing keyword.', ' ', ' The only advantage of using :meth:`Header.set` is that it', ' easily replaces the old usage of :meth:`Header.update` both', ' conceptually and in terms of function signature.', ' ', ' :Parameters:', ' ', ' **keyword** : str', ' ', ' A header keyword', ' ', ' ', ' **value** : str, optional', ' ', ' The value to set for the given keyword; if None the existing value', " is kept, but '' may be used to set a blank value", ' ', ' ', ' **comment** : str, optional', ' ', ' The comment to set for the given keyword; if None the existing', " comment is kept, but ``''`` may be used to set a blank comment", ' ', ' ', ' **before** : str, int, optional', ' ', ' Name of the keyword, or index of the `Card` before which this card', ' should be located in the header. The argument ``before`` takes', ' precedence over ``after`` if both specified.', ' ', ' ', ' **after** : str, int, optional', ' ', ' Name of the keyword, or index of the `Card` after which this card', ' should be located in the header.', ' ', '', '.. py:method:: Header.setdefault(key, default=None)', ' :module: astropy.io.fits', '', ' ', ' ', ' Similar to :meth:`dict.setdefault`.', ' ', ' ', '', ".. py:method:: Header.tofile(fileobj, sep='', endcard=True, padding=True, overwrite=False)", ' :module: astropy.io.fits', '', ' ', ' ', ' Writes the header to file or file-like object.', ' ', ' By default this writes the header exactly as it would be written to a', ' FITS file, with the END card included and padding to the next multiple', ' of 2880 bytes. However, aspects of this may be controlled.', ' ', ' :Parameters:', ' ', ' **fileobj** : str, file, optional', ' ', ' Either the pathname of a file, or an open file handle or file-like', ' object', ' ', ' ', ' **sep** : str, optional', ' ', ' The character or string with which to separate cards. By default', " there is no separator, but one could use ``'\\\\n'``, for example, to", ' separate each card with a new line', ' ', ' ', ' **endcard** : bool, optional', ' ', ' If `True` (default) adds the END card to the end of the header', ' string', ' ', ' ', ' **padding** : bool, optional', ' ', ' If `True` (default) pads the string with spaces out to the next', ' multiple of 2880 characters', ' ', ' ', ' **overwrite** : bool, optional', ' ', ' If ``True``, overwrite the output file if it exists. Raises an', ' ``OSError`` (``IOError`` for Python 2) if ``False`` and the', ' output file exists. Default is ``False``.', ' ', ' .. versionchanged:: 1.3', ' ``overwrite`` replaces the deprecated ``clobber`` argument.', ' ', '', ".. py:method:: Header.tostring(sep='', endcard=True, padding=True)", ' :module: astropy.io.fits', '', ' ', ' ', ' Returns a string representation of the header.', ' ', ' By default this uses no separator between cards, adds the END card, and', ' pads the string with spaces to the next multiple of 2880 bytes. That', ' is, it returns the header exactly as it would appear in a FITS file.', ' ', ' :Parameters:', ' ', ' **sep** : str, optional', ' ', ' The character or string with which to separate cards. By default', " there is no separator, but one could use ``'\\\\n'``, for example, to", ' separate each card with a new line', ' ', ' ', ' **endcard** : bool, optional', ' ', ' If True (default) adds the END card to the end of the header', ' string', ' ', ' ', ' **padding** : bool, optional', ' ', ' If True (default) pads the string with spaces out to the next', ' multiple of 2880 characters', ' ', ' :Returns:', ' ', ' **s** : str', ' ', ' A string representing a FITS header.', ' ', '', '.. py:method:: Header.totextfile(fileobj, endcard=False, overwrite=False)', ' :module: astropy.io.fits', '', ' ', ' ', ' Write the header as text to a file or a file-like object.', ' ', ' Equivalent to::', ' ', " >>> Header.tofile(fileobj, sep='\\n', endcard=False,", ' ... padding=False, overwrite=overwrite)', ' ', ' .. versionchanged:: 1.3', ' ``overwrite`` replaces the deprecated ``clobber`` argument.', ' ', ' .. seealso::', ' ', ' ', ' :obj:`tofile`', ' ', '', '.. py:method:: Header.update(*args, **kwargs)', ' :module: astropy.io.fits', '', ' ', ' ', ' Update the Header with new keyword values, updating the values of', ' existing keywords and appending new keywords otherwise; similar to', ' `dict.update`.', ' ', ' `update` accepts either a dict-like object or an iterable. In the', ' former case the keys must be header keywords and the values may be', ' either scalar values or (value, comment) tuples. In the case of an', ' iterable the items must be (keyword, value) tuples or (keyword, value,', ' comment) tuples.', ' ', ' Arbitrary arguments are also accepted, in which case the update() is', ' called again with the kwargs dict as its only argument. That is,', ' ', ' ::', ' ', ' >>> header.update(NAXIS1=100, NAXIS2=100)', ' ', ' is equivalent to::', ' ', " header.update({'NAXIS1': 100, 'NAXIS2': 100})", ' ', ' .. warning::', ' As this method works similarly to `dict.update` it is very', ' different from the ``Header.update()`` method in PyFITS versions', ' prior to 3.1.0 (or Astropy v0.1). Use of the old API was', ' **deprecated** for a long time and is now removed. Most uses of the', ' old API can be replaced as follows:', ' ', ' * Replace ::', ' ', ' header.update(keyword, value)', ' ', ' with ::', ' ', ' header[keyword] = value', ' ', ' * Replace ::', ' ', ' header.update(keyword, value, comment=comment)', ' ', ' with ::', ' ', ' header[keyword] = (value, comment)', ' ', ' * Replace ::', ' ', ' header.update(keyword, value, before=before_keyword)', ' ', ' with ::', ' ', ' header.insert(before_keyword, (keyword, value))', ' ', ' * Replace ::', ' ', ' header.update(keyword, value, after=after_keyword)', ' ', ' with ::', ' ', ' header.insert(after_keyword, (keyword, value),', ' after=True)', ' ', ' See also :meth:`Header.set` which is a new method that provides an', ' interface similar to the old ``Header.update()`` and may help make', ' transition a little easier.', ' ', '', '.. py:method:: Header.values()', ' :module: astropy.io.fits', '', ' ', ' ', ' Like :meth:`dict.itervalues`.']:49: WARNING: py:obj reference target not found: dict ['Header.copy(strip=False)', ':module: astropy.io.fits', '', 'Make a copy of the :class:`Header`.', '', '.. versionchanged:: 1.3', ' `copy.copy` and `copy.deepcopy` on a `Header` will call this', ' method.', '', ':Parameters:', '', ' **strip** : bool, optional', '', ' If `True`, strip any headers that are specific to one of the', ' standard HDU types, so that this header can be used in a different', ' HDU.', '', ':Returns:', '', ' header', '', ' A new :class:`Header` instance.']:8: WARNING: py:obj reference target not found: copy.copy ['Header.copy(strip=False)', ':module: astropy.io.fits', '', 'Make a copy of the :class:`Header`.', '', '.. versionchanged:: 1.3', ' `copy.copy` and `copy.deepcopy` on a `Header` will call this', ' method.', '', ':Parameters:', '', ' **strip** : bool, optional', '', ' If `True`, strip any headers that are specific to one of the', ' standard HDU types, so that this header can be used in a different', ' HDU.', '', ':Returns:', '', ' header', '', ' A new :class:`Header` instance.']:8: WARNING: py:obj reference target not found: copy.deepcopy ['Header.copy(strip=False)', ':module: astropy.io.fits', '', 'Make a copy of the :class:`Header`.', '', '.. versionchanged:: 1.3', ' `copy.copy` and `copy.deepcopy` on a `Header` will call this', ' method.', '', ':Parameters:', '', ' **strip** : bool, optional', '', ' If `True`, strip any headers that are specific to one of the', ' standard HDU types, so that this header can be used in a different', ' HDU.', '', ':Returns:', '', ' header', '', ' A new :class:`Header` instance.']:13: WARNING: py:obj reference target not found: True ['Header.extend(cards, strip=True, unique=False, update=False, update_first=False, useblanks=True, bottom=False, end=False)', ':module: astropy.io.fits', '', 'Appends multiple keyword+value cards to the end of the header, similar', 'to `list.extend`.', '', ':Parameters:', '', ' **cards** : iterable', '', ' An iterable of (keyword, value, [comment]) tuples; see', ' `Header.append`.', '', ' **strip** : bool, optional', '', ' Remove any keywords that have meaning only to specific types of', ' HDUs, so that only more general keywords are added from extension', ' Header or Card list (default: `True`).', '', ' **unique** : bool, optional', '', ' If `True`, ensures that no duplicate keywords are appended;', ' keywords already in this header are simply discarded. The', ' exception is commentary keywords (COMMENT, HISTORY, etc.): they are', ' only treated as duplicates if their values match.', '', ' **update** : bool, optional', '', ' If `True`, update the current header with the values and comments', ' from duplicate keywords in the input header. This supercedes the', ' ``unique`` argument. Commentary keywords are treated the same as', ' if ``unique=True``.', '', ' **update_first** : bool, optional', '', " If the first keyword in the header is 'SIMPLE', and the first", " keyword in the input header is 'XTENSION', the 'SIMPLE' keyword is", " replaced by the 'XTENSION' keyword. Likewise if the first keyword", " in the header is 'XTENSION' and the first keyword in the input", " header is 'SIMPLE', the 'XTENSION' keyword is replaced by the", " 'SIMPLE' keyword. This behavior is otherwise dumb as to whether or", ' not the resulting header is a valid primary or extension header.', ' This is mostly provided to support backwards compatibility with the', ' old ``Header.fromTxtFile`` method, and only applies if', ' ``update=True``.', '', ' **useblanks, bottom, end** : bool, optional', '', ' These arguments are passed to :meth:`Header.append` while appending', ' new cards to the header.']:15: WARNING: py:obj reference target not found: True ['Header.extend(cards, strip=True, unique=False, update=False, update_first=False, useblanks=True, bottom=False, end=False)', ':module: astropy.io.fits', '', 'Appends multiple keyword+value cards to the end of the header, similar', 'to `list.extend`.', '', ':Parameters:', '', ' **cards** : iterable', '', ' An iterable of (keyword, value, [comment]) tuples; see', ' `Header.append`.', '', ' **strip** : bool, optional', '', ' Remove any keywords that have meaning only to specific types of', ' HDUs, so that only more general keywords are added from extension', ' Header or Card list (default: `True`).', '', ' **unique** : bool, optional', '', ' If `True`, ensures that no duplicate keywords are appended;', ' keywords already in this header are simply discarded. The', ' exception is commentary keywords (COMMENT, HISTORY, etc.): they are', ' only treated as duplicates if their values match.', '', ' **update** : bool, optional', '', ' If `True`, update the current header with the values and comments', ' from duplicate keywords in the input header. This supercedes the', ' ``unique`` argument. Commentary keywords are treated the same as', ' if ``unique=True``.', '', ' **update_first** : bool, optional', '', " If the first keyword in the header is 'SIMPLE', and the first", " keyword in the input header is 'XTENSION', the 'SIMPLE' keyword is", " replaced by the 'XTENSION' keyword. Likewise if the first keyword", " in the header is 'XTENSION' and the first keyword in the input", " header is 'SIMPLE', the 'XTENSION' keyword is replaced by the", " 'SIMPLE' keyword. This behavior is otherwise dumb as to whether or", ' not the resulting header is a valid primary or extension header.', ' This is mostly provided to support backwards compatibility with the', ' old ``Header.fromTxtFile`` method, and only applies if', ' ``update=True``.', '', ' **useblanks, bottom, end** : bool, optional', '', ' These arguments are passed to :meth:`Header.append` while appending', ' new cards to the header.']:21: WARNING: py:obj reference target not found: True ['Header.extend(cards, strip=True, unique=False, update=False, update_first=False, useblanks=True, bottom=False, end=False)', ':module: astropy.io.fits', '', 'Appends multiple keyword+value cards to the end of the header, similar', 'to `list.extend`.', '', ':Parameters:', '', ' **cards** : iterable', '', ' An iterable of (keyword, value, [comment]) tuples; see', ' `Header.append`.', '', ' **strip** : bool, optional', '', ' Remove any keywords that have meaning only to specific types of', ' HDUs, so that only more general keywords are added from extension', ' Header or Card list (default: `True`).', '', ' **unique** : bool, optional', '', ' If `True`, ensures that no duplicate keywords are appended;', ' keywords already in this header are simply discarded. The', ' exception is commentary keywords (COMMENT, HISTORY, etc.): they are', ' only treated as duplicates if their values match.', '', ' **update** : bool, optional', '', ' If `True`, update the current header with the values and comments', ' from duplicate keywords in the input header. This supercedes the', ' ``unique`` argument. Commentary keywords are treated the same as', ' if ``unique=True``.', '', ' **update_first** : bool, optional', '', " If the first keyword in the header is 'SIMPLE', and the first", " keyword in the input header is 'XTENSION', the 'SIMPLE' keyword is", " replaced by the 'XTENSION' keyword. Likewise if the first keyword", " in the header is 'XTENSION' and the first keyword in the input", " header is 'SIMPLE', the 'XTENSION' keyword is replaced by the", " 'SIMPLE' keyword. This behavior is otherwise dumb as to whether or", ' not the resulting header is a valid primary or extension header.', ' This is mostly provided to support backwards compatibility with the', ' old ``Header.fromTxtFile`` method, and only applies if', ' ``update=True``.', '', ' **useblanks, bottom, end** : bool, optional', '', ' These arguments are passed to :meth:`Header.append` while appending', ' new cards to the header.']:28: WARNING: py:obj reference target not found: True ["Header.fromfile(fileobj, sep='', endcard=True, padding=True)", ':module: astropy.io.fits', '', 'Similar to :meth:`Header.fromstring`, but reads the header string from', 'a given file-like object or filename.', '', ':Parameters:', '', ' **fileobj** : str, file-like', '', ' A filename or an open file-like object from which a FITS header is', ' to be read. For open file handles the file pointer must be at the', ' beginning of the header.', '', ' **sep** : str, optional', '', ' The string separating cards from each other, such as a newline. By', ' default there is no card separator (as is the case in a raw FITS', ' file).', '', ' **endcard** : bool, optional', '', ' If True (the default) the header must end with an END card in order', ' to be considered valid. If an END card is not found an', ' `IOError` is raised.', '', ' **padding** : bool, optional', '', ' If True (the default) the header will be required to be padded out', ' to a multiple of 2880, the FITS header block size. Otherwise any', ' padding, or lack thereof, is ignored.', '', ':Returns:', '', ' header', '', ' A new `Header` instance.']:22: WARNING: py:obj reference target not found: IOError ['Header.fromkeys(iterable, value=None)', ':module: astropy.io.fits', '', 'Similar to :meth:`dict.fromkeys`--creates a new `Header` from an', 'iterable of keywords and an optional default value.', '', 'This method is not likely to be particularly useful for creating real', 'world FITS headers, but it is useful for testing.', '', ':Parameters:', '', ' **iterable**', '', ' Any iterable that returns strings representing FITS keywords.', '', ' **value** : optional', '', ' A default value to assign to each keyword; must be a valid type for', ' FITS keywords.', '', ':Returns:', '', ' header', '', ' A new `Header` instance.']:3: WARNING: py:meth reference target not found: dict.fromkeys ['Header.get(key, default=None)', ':module: astropy.io.fits', '', 'Similar to :meth:`dict.get`--returns the value associated with keyword', 'in the header, or a default value if the keyword is not found.', '', ':Parameters:', '', ' **key** : str', '', ' A keyword that may or may not be in the header.', '', ' **default** : optional', '', ' A default value to return if the keyword is not found in the', ' header.', '', ':Returns:', '', ' value', '', ' The value associated with the given keyword, or the default value', ' if the keyword is not in the header.']:3: WARNING: py:meth reference target not found: dict.get ['Header.insert(key, card, useblanks=True, after=False)', ':module: astropy.io.fits', '', 'Inserts a new keyword+value card into the Header at a given location,', 'similar to `list.insert`.', '', ':Parameters:', '', ' **key** : int, str, or tuple', '', ' The index into the list of header keywords before which the', ' new keyword should be inserted, or the name of a keyword before', ' which the new keyword should be inserted. Can also accept a', ' (keyword, index) tuple for inserting around duplicate keywords.', '', ' **card** : str, tuple', '', ' A keyword or a (keyword, value, [comment]) tuple; see', ' `Header.append`', '', ' **useblanks** : bool, optional', '', ' If there are blank cards at the end of the Header, replace the', ' first blank card so that the total number of cards in the Header', ' does not increase. Otherwise preserve the number of blank cards.', '', ' **after** : bool, optional', '', ' If set to `True`, insert *after* the specified index or keyword,', ' rather than before it. Defaults to `False`.']:28: WARNING: py:obj reference target not found: True ['Header.insert(key, card, useblanks=True, after=False)', ':module: astropy.io.fits', '', 'Inserts a new keyword+value card into the Header at a given location,', 'similar to `list.insert`.', '', ':Parameters:', '', ' **key** : int, str, or tuple', '', ' The index into the list of header keywords before which the', ' new keyword should be inserted, or the name of a keyword before', ' which the new keyword should be inserted. Can also accept a', ' (keyword, index) tuple for inserting around duplicate keywords.', '', ' **card** : str, tuple', '', ' A keyword or a (keyword, value, [comment]) tuple; see', ' `Header.append`', '', ' **useblanks** : bool, optional', '', ' If there are blank cards at the end of the Header, replace the', ' first blank card so that the total number of cards in the Header', ' does not increase. Otherwise preserve the number of blank cards.', '', ' **after** : bool, optional', '', ' If set to `True`, insert *after* the specified index or keyword,', ' rather than before it. Defaults to `False`.']:28: WARNING: py:obj reference target not found: False ['Header.pop(*args)', ':module: astropy.io.fits', '', 'Works like :meth:`list.pop` if no arguments or an index argument are', 'supplied; otherwise works like :meth:`dict.pop`.']:3: WARNING: py:meth reference target not found: dict.pop ['Header.popitem()', ':module: astropy.io.fits', '', 'Similar to :meth:`dict.popitem`.']:3: WARNING: py:meth reference target not found: dict.popitem ['Header.rename_keyword(oldkeyword, newkeyword, force=False)', ':module: astropy.io.fits', '', "Rename a card's keyword in the header.", '', ':Parameters:', '', ' **oldkeyword** : str or int', '', ' Old keyword or card index', '', ' **newkeyword** : str', '', ' New keyword', '', ' **force** : bool, optional', '', ' When `True`, if the new keyword already exists in the header, force', ' the creation of a duplicate keyword. Otherwise a', ' `ValueError` is raised.']:17: WARNING: py:obj reference target not found: True ['Header.rename_keyword(oldkeyword, newkeyword, force=False)', ':module: astropy.io.fits', '', "Rename a card's keyword in the header.", '', ':Parameters:', '', ' **oldkeyword** : str or int', '', ' Old keyword or card index', '', ' **newkeyword** : str', '', ' New keyword', '', ' **force** : bool, optional', '', ' When `True`, if the new keyword already exists in the header, force', ' the creation of a duplicate keyword. Otherwise a', ' `ValueError` is raised.']:17: WARNING: py:obj reference target not found: ValueError ['Header.setdefault(key, default=None)', ':module: astropy.io.fits', '', 'Similar to :meth:`dict.setdefault`.']:3: WARNING: py:meth reference target not found: dict.setdefault ["Header.tofile(fileobj, sep='', endcard=True, padding=True, overwrite=False)", ':module: astropy.io.fits', '', 'Writes the header to file or file-like object.', '', 'By default this writes the header exactly as it would be written to a', 'FITS file, with the END card included and padding to the next multiple', 'of 2880 bytes. However, aspects of this may be controlled.', '', ':Parameters:', '', ' **fileobj** : str, file, optional', '', ' Either the pathname of a file, or an open file handle or file-like', ' object', '', ' **sep** : str, optional', '', ' The character or string with which to separate cards. By default', " there is no separator, but one could use ``'\\\\n'``, for example, to", ' separate each card with a new line', '', ' **endcard** : bool, optional', '', ' If `True` (default) adds the END card to the end of the header', ' string', '', ' **padding** : bool, optional', '', ' If `True` (default) pads the string with spaces out to the next', ' multiple of 2880 characters', '', ' **overwrite** : bool, optional', '', ' If ``True``, overwrite the output file if it exists. Raises an', ' ``OSError`` (``IOError`` for Python 2) if ``False`` and the', ' output file exists. Default is ``False``.', '', ' .. versionchanged:: 1.3', ' ``overwrite`` replaces the deprecated ``clobber`` argument.']:24: WARNING: py:obj reference target not found: True ["Header.tofile(fileobj, sep='', endcard=True, padding=True, overwrite=False)", ':module: astropy.io.fits', '', 'Writes the header to file or file-like object.', '', 'By default this writes the header exactly as it would be written to a', 'FITS file, with the END card included and padding to the next multiple', 'of 2880 bytes. However, aspects of this may be controlled.', '', ':Parameters:', '', ' **fileobj** : str, file, optional', '', ' Either the pathname of a file, or an open file handle or file-like', ' object', '', ' **sep** : str, optional', '', ' The character or string with which to separate cards. By default', " there is no separator, but one could use ``'\\\\n'``, for example, to", ' separate each card with a new line', '', ' **endcard** : bool, optional', '', ' If `True` (default) adds the END card to the end of the header', ' string', '', ' **padding** : bool, optional', '', ' If `True` (default) pads the string with spaces out to the next', ' multiple of 2880 characters', '', ' **overwrite** : bool, optional', '', ' If ``True``, overwrite the output file if it exists. Raises an', ' ``OSError`` (``IOError`` for Python 2) if ``False`` and the', ' output file exists. Default is ``False``.', '', ' .. versionchanged:: 1.3', ' ``overwrite`` replaces the deprecated ``clobber`` argument.']:29: WARNING: py:obj reference target not found: True ['Header.update(*args, **kwargs)', ':module: astropy.io.fits', '', 'Update the Header with new keyword values, updating the values of', 'existing keywords and appending new keywords otherwise; similar to', '`dict.update`.', '', '`update` accepts either a dict-like object or an iterable. In the', 'former case the keys must be header keywords and the values may be', 'either scalar values or (value, comment) tuples. In the case of an', 'iterable the items must be (keyword, value) tuples or (keyword, value,', 'comment) tuples.', '', 'Arbitrary arguments are also accepted, in which case the update() is', 'called again with the kwargs dict as its only argument. That is,', '', '::', '', ' >>> header.update(NAXIS1=100, NAXIS2=100)', '', 'is equivalent to::', '', " header.update({'NAXIS1': 100, 'NAXIS2': 100})", '', '.. warning::', ' As this method works similarly to `dict.update` it is very', ' different from the ``Header.update()`` method in PyFITS versions', ' prior to 3.1.0 (or Astropy v0.1). Use of the old API was', ' **deprecated** for a long time and is now removed. Most uses of the', ' old API can be replaced as follows:', '', ' * Replace ::', '', ' header.update(keyword, value)', '', ' with ::', '', ' header[keyword] = value', '', ' * Replace ::', '', ' header.update(keyword, value, comment=comment)', '', ' with ::', '', ' header[keyword] = (value, comment)', '', ' * Replace ::', '', ' header.update(keyword, value, before=before_keyword)', '', ' with ::', '', ' header.insert(before_keyword, (keyword, value))', '', ' * Replace ::', '', ' header.update(keyword, value, after=after_keyword)', '', ' with ::', '', ' header.insert(after_keyword, (keyword, value),', ' after=True)', '', ' See also :meth:`Header.set` which is a new method that provides an', ' interface similar to the old ``Header.update()`` and may help make', ' transition a little easier.']:3: WARNING: py:obj reference target not found: dict.update ['Header.update(*args, **kwargs)', ':module: astropy.io.fits', '', 'Update the Header with new keyword values, updating the values of', 'existing keywords and appending new keywords otherwise; similar to', '`dict.update`.', '', '`update` accepts either a dict-like object or an iterable. In the', 'former case the keys must be header keywords and the values may be', 'either scalar values or (value, comment) tuples. In the case of an', 'iterable the items must be (keyword, value) tuples or (keyword, value,', 'comment) tuples.', '', 'Arbitrary arguments are also accepted, in which case the update() is', 'called again with the kwargs dict as its only argument. That is,', '', '::', '', ' >>> header.update(NAXIS1=100, NAXIS2=100)', '', 'is equivalent to::', '', " header.update({'NAXIS1': 100, 'NAXIS2': 100})", '', '.. warning::', ' As this method works similarly to `dict.update` it is very', ' different from the ``Header.update()`` method in PyFITS versions', ' prior to 3.1.0 (or Astropy v0.1). Use of the old API was', ' **deprecated** for a long time and is now removed. Most uses of the', ' old API can be replaced as follows:', '', ' * Replace ::', '', ' header.update(keyword, value)', '', ' with ::', '', ' header[keyword] = value', '', ' * Replace ::', '', ' header.update(keyword, value, comment=comment)', '', ' with ::', '', ' header[keyword] = (value, comment)', '', ' * Replace ::', '', ' header.update(keyword, value, before=before_keyword)', '', ' with ::', '', ' header.insert(before_keyword, (keyword, value))', '', ' * Replace ::', '', ' header.update(keyword, value, after=after_keyword)', '', ' with ::', '', ' header.insert(after_keyword, (keyword, value),', ' after=True)', '', ' See also :meth:`Header.set` which is a new method that provides an', ' interface similar to the old ``Header.update()`` and may help make', ' transition a little easier.']:25: WARNING: py:obj reference target not found: dict.update /<>/docs/io/fits/api/images.rst:21: WARNING: py:obj reference target not found: None /<>/docs/io/fits/api/images.rst:31: WARNING: py:obj reference target not found: True ['ImageHDU(data=None, header=None, name=None, do_not_scale_image_data=False, uint=True, scale_back=None)', ':module: astropy.io.fits', '', 'Bases: :class:`astropy.io.fits.hdu.image._ImageBaseHDU`, :class:`astropy.io.fits.hdu.base.ExtensionHDU`', '', '', '', 'FITS image extension HDU class.', '', '', '', '', 'Construct an image HDU.', '', '', ':Parameters:', '', ' **data** : array', '', ' The data in the HDU.', ' ', '', ' **header** : Header instance', '', ' The header to be used (as a template). If ``header`` is', ' `None`, a minimal header will be provided.', ' ', '', ' **name** : str, optional', '', ' The name of the HDU, will be the value of the keyword', ' ``EXTNAME``.', ' ', '', ' **do_not_scale_image_data** : bool, optional', '', ' If `True`, image data is not scaled using BSCALE/BZERO values', ' when read. (default: False)', ' ', '', ' **uint** : bool, optional', '', ' Interpret signed integer data where ``BZERO`` is the', ' central value and ``BSCALE == 1`` as unsigned integer', ' data. For example, ``int16`` data with ``BZERO = 32768``', ' and ``BSCALE = 1`` would be treated as ``uint16`` data.', ' (default: True)', ' ', '', ' **scale_back** : bool, optional', '', ' If `True`, when saving changes to a file that contained scaled', ' image data, restore the data to the original type and reapply the', ' original BSCALE/BZERO values. This could lead to loss of accuracy', ' if scaling back to integer values after performing floating point', ' operations on the data. Pseudo-unsigned integers are automatically', ' rescaled unless scale_back is explicitly set to `False`.', ' (default: None)', '', '', ".. py:method:: ImageHDU.add_checksum(when=None, override_datasum=False, blocking='standard', checksum_keyword='CHECKSUM', datasum_keyword='DATASUM')", ' :module: astropy.io.fits', '', ' ', ' ', ' Add the ``CHECKSUM`` and ``DATASUM`` cards to this HDU with', ' the values set to the checksum calculated for the HDU and the', ' data respectively. The addition of the ``DATASUM`` card may', ' be overridden.', ' ', ' ', ' :Parameters:', ' ', ' **when** : str, optional', ' ', ' comment string for the cards; by default the comments', ' will represent the time when the checksum was calculated', ' ', ' ', ' **override_datasum** : bool, optional', ' ', ' add the ``CHECKSUM`` card only', ' ', ' ', ' **blocking** : str, optional', ' ', ' "standard" or "nonstandard", compute sum 2880 bytes at a time, or', ' not', ' ', ' ', ' **checksum_keyword** : str, optional', ' ', ' The name of the header keyword to store the checksum value in; this', " is typically 'CHECKSUM' per convention, but there exist use cases", ' in which a different keyword should be used', ' ', ' ', ' **datasum_keyword** : str, optional', ' ', ' See ``checksum_keyword``', ' ', ' .. rubric:: Notes', ' ', ' ', ' For testing purposes, first call `add_datasum` with a ``when``', ' argument, then call `add_checksum` with a ``when`` argument and', ' ``override_datasum`` set to `True`. This will provide consistent', ' comments for both cards and enable the generation of a ``CHECKSUM``', ' card with a consistent value.', ' ', '', ".. py:method:: ImageHDU.add_datasum(when=None, blocking='standard', datasum_keyword='DATASUM')", ' :module: astropy.io.fits', '', ' ', ' ', ' Add the ``DATASUM`` card to this HDU with the value set to the', ' checksum calculated for the data.', ' ', ' ', ' :Parameters:', ' ', ' **when** : str, optional', ' ', ' Comment string for the card that by default represents the', ' time when the checksum was calculated', ' ', ' ', ' **blocking** : str, optional', ' ', ' "standard" or "nonstandard", compute sum 2880 bytes at a time, or', ' not', ' ', ' ', ' **datasum_keyword** : str, optional', ' ', ' The name of the header keyword to store the datasum value in;', " this is typically 'DATASUM' per convention, but there exist", ' use cases in which a different keyword should be used', ' ', ' :Returns:', ' ', ' **checksum** : int', ' ', ' The calculated datasum', ' ', ' .. rubric:: Notes', ' ', ' ', ' For testing purposes, provide a ``when`` argument to enable the comment', ' value in the card to remain consistent. This will enable the', ' generation of a ``CHECKSUM`` card with a consistent value.', ' ', '', '.. py:method:: ImageHDU.copy()', ' :module: astropy.io.fits', '', ' ', ' ', ' Make a copy of the HDU, both header and data are copied.', ' ', ' ', '', '.. py:attribute:: ImageHDU.data', ' :module: astropy.io.fits', '', ' ', ' ', ' Image/array data as a `~numpy.ndarray`.', ' ', ' Please remember that the order of axes on an Numpy array are opposite', ' of the order specified in the FITS file. For example for a 2D image', ' the "rows" or y-axis are the first dimension, and the "columns" or', ' x-axis are the second dimension.', ' ', ' If the data is scaled using the BZERO and BSCALE parameters, this', ' attribute returns the data scaled to its physical values unless the', ' file was opened with ``do_not_scale_image_data=True``.', ' ', '', '.. py:method:: ImageHDU.filebytes()', ' :module: astropy.io.fits', '', ' ', ' ', ' Calculates and returns the number of bytes that this HDU will write to', ' a file.', ' ', ' ', '', '.. py:method:: ImageHDU.fileinfo()', ' :module: astropy.io.fits', '', ' ', ' ', ' Returns a dictionary detailing information about the locations', ' of this HDU within any associated file. The values are only', ' valid after a read or write of the associated file with no', ' intervening changes to the `HDUList`.', ' ', ' ', ' :Returns:', ' ', ' dict or None', ' ', ' ', ' The dictionary details information about the locations of', ' this HDU within an associated file. Returns `None` when', ' the HDU is not associated with a file.', ' ', ' Dictionary contents:', ' ', ' ========== ================================================', ' Key Value', ' ========== ================================================', ' file File object associated with the HDU', ' filemode Mode in which the file was opened (readonly, copyonwrite,', ' update, append, ostream)', ' hdrLoc Starting byte location of header in file', ' datLoc Starting byte location of data block in file', ' datSpan Data size including padding', ' ========== ================================================', ' ', '', '.. py:method:: ImageHDU.fromstring(data, checksum=False, ignore_missing_end=False, **kwargs)', ' :module: astropy.io.fits', '', ' ', ' ', ' Creates a new HDU object of the appropriate type from a string', " containing the HDU's entire header and, optionally, its data.", ' ', ' Note: When creating a new HDU from a string without a backing file', ' object, the data of that HDU may be read-only. It depends on whether', ' the underlying string was an immutable Python str/bytes object, or some', ' kind of read-write memory buffer such as a `memoryview`.', ' ', ' :Parameters:', ' ', ' **data** : str, bytearray, memoryview, ndarray', ' ', " A byte string containing the HDU's header and data.", ' ', ' ', ' **checksum** : bool, optional', ' ', " Check the HDU's checksum and/or datasum.", ' ', ' ', ' **ignore_missing_end** : bool, optional', ' ', ' Ignore a missing end card in the header data. Note that without the', ' end card the end of the header may be ambiguous and resulted in a', ' corrupt HDU. In this case the assumption is that the first 2880', ' block that does not begin with valid FITS header data is the', ' beginning of the data.', ' ', ' ', ' **kwargs** : optional', ' ', ' May consist of additional keyword arguments specific to an HDU', ' type--these correspond to keywords recognized by the constructors of', ' different HDU classes such as `PrimaryHDU`, `ImageHDU`, or', ' `BinTableHDU`. Any unrecognized keyword arguments are simply', ' ignored.', ' ', '', '.. py:method:: ImageHDU.readfrom(fileobj, checksum=False, ignore_missing_end=False, **kwargs)', ' :module: astropy.io.fits', '', ' ', ' ', ' Read the HDU from a file. Normally an HDU should be opened with', ' :func:`open` which reads the entire HDU list in a FITS file. But this', ' method is still provided for symmetry with :func:`writeto`.', ' ', ' ', ' :Parameters:', ' ', ' **fileobj** : file object or file-like object', ' ', " Input FITS file. The file's seek pointer is assumed to be at the", ' beginning of the HDU.', ' ', ' ', ' **checksum** : bool', ' ', ' If `True`, verifies that both ``DATASUM`` and ``CHECKSUM`` card', ' values (when present in the HDU header) match the header and data', " of all HDU's in the file.", ' ', ' ', ' **ignore_missing_end** : bool', ' ', ' Do not issue an exception when opening a file that is missing an', ' ``END`` card in the last header.', ' ', '', '.. py:method:: ImageHDU.req_cards(keyword, pos, test, fix_value, option, errlist)', ' :module: astropy.io.fits', '', ' ', ' ', ' Check the existence, location, and value of a required `Card`.', ' ', ' ', ' :Parameters:', ' ', ' **keyword** : str', ' ', ' The keyword to validate', ' ', ' ', ' **pos** : int, callable', ' ', ' If an ``int``, this specifies the exact location this card should', ' have in the header. Remember that Python is zero-indexed, so this', ' means ``pos=0`` requires the card to be the first card in the', ' header. If given a callable, it should take one argument--the', ' actual position of the keyword--and return `True` or `False`. This', ' can be used for custom evaluation. For example if', " ``pos=lambda idx: idx > 10`` this will check that the keyword's", ' index is greater than 10.', ' ', ' ', ' **test** : callable', ' ', ' This should be a callable (generally a function) that is passed the', ' value of the given keyword and returns `True` or `False`. This can', ' be used to validate the value associated with the given keyword.', ' ', ' ', ' **fix_value** : str, int, float, complex, bool, None', ' ', ' A valid value for a FITS keyword to to use if the given ``test``', ' fails to replace an invalid value. In other words, this provides', " a default value to use as a replacement if the keyword's current", ' value is invalid. If `None`, there is no replacement value and the', ' keyword is unfixable.', ' ', ' ', ' **option** : str', ' ', ' Output verification option. Must be one of ``"fix"``,', ' ``"silentfix"``, ``"ignore"``, ``"warn"``, or', ' ``"exception"``. May also be any combination of ``"fix"`` or', ' ``"silentfix"`` with ``"+ignore"``, ``+warn``, or ``+exception"', ' (e.g. ``"fix+warn"``). See :ref:`verify` for more info.', ' ', ' ', ' **errlist** : list', ' ', ' A list of validation errors already found in the FITS file; this is', ' used primarily for the validation system to collect errors across', ' multiple HDUs and multiple calls to `req_cards`.', ' ', ' .. rubric:: Notes', ' ', ' ', ' If ``pos=None``, the card can be anywhere in the header. If the card', ' does not exist, the new card will have the ``fix_value`` as its value', " when created. Also check the card's value by using the ``test``", ' argument.', ' ', '', ".. py:method:: ImageHDU.run_option(option='warn', err_text='', fix_text='Fixed.', fix=None, fixable=True)", ' :module: astropy.io.fits', '', ' ', ' ', ' Execute the verification with selected option.', ' ', ' ', '', ".. py:method:: ImageHDU.scale(type=None, option='old', bscale=None, bzero=None)", ' :module: astropy.io.fits', '', ' ', ' ', ' Scale image data by using ``BSCALE``/``BZERO``.', ' ', ' Call to this method will scale `data` and update the keywords of', " ``BSCALE`` and ``BZERO`` in the HDU's header. This method should only", ' be used right before writing to the output file, as the data will be', ' scaled and is therefore not very usable after the call.', ' ', ' :Parameters:', ' ', ' **type** : str, optional', ' ', ' destination data type, use a string representing a numpy', " dtype name, (e.g. ``'uint8'``, ``'int16'``, ``'float32'``", ' etc.). If is `None`, use the current data type.', ' ', ' ', ' **option** : str, optional', ' ', ' How to scale the data: ``"old"`` uses the original ``BSCALE`` and', ' ``BZERO`` values from when the data was read/created (defaulting to', ' 1 and 0 if they don\'t exist). For integer data only, ``"minmax"``', ' uses the minimum and maximum of the data to scale. User-specified', ' ``bscale``/``bzero`` values always take precedence.', ' ', ' ', ' **bscale, bzero** : int, optional', ' ', ' User-specified ``BSCALE`` and ``BZERO`` values', ' ', '', '.. py:attribute:: ImageHDU.section', ' :module: astropy.io.fits', '', ' ', ' ', ' Access a section of the image array without loading the entire array', ' into memory. The :class:`Section` object returned by this attribute is', ' not meant to be used directly by itself. Rather, slices of the section', ' return the appropriate slice of the data, and loads *only* that section', ' into memory.', ' ', ' Sections are mostly obsoleted by memmap support, but should still be', ' used to deal with very large scaled images. See the', ' :ref:`data-sections` section of the PyFITS documentation for more', ' details.', ' ', '', '.. py:attribute:: ImageHDU.shape', ' :module: astropy.io.fits', '', ' ', ' ', ' Shape of the image array--should be equivalent to ``self.data.shape``.', ' ', ' ', '', '.. py:attribute:: ImageHDU.size', ' :module: astropy.io.fits', '', ' ', ' ', ' Size (in bytes) of the data portion of the HDU.', ' ', ' ', '', '.. py:method:: ImageHDU.update_header()', ' :module: astropy.io.fits', '', ' ', ' ', ' Update the header keywords to agree with the data.', ' ', ' ', '', ".. py:method:: ImageHDU.verify(option='warn')", ' :module: astropy.io.fits', '', ' ', ' ', ' Verify all values in the instance.', ' ', ' ', ' :Parameters:', ' ', ' **option** : str', ' ', ' Output verification option. Must be one of ``"fix"``,', ' ``"silentfix"``, ``"ignore"``, ``"warn"``, or', ' ``"exception"``. May also be any combination of ``"fix"`` or', ' ``"silentfix"`` with ``"+ignore"``, ``+warn``, or ``+exception"', ' (e.g. ``"fix+warn"``). See :ref:`verify` for more info.', ' ', '', ".. py:method:: ImageHDU.verify_checksum(blocking='standard')", ' :module: astropy.io.fits', '', ' ', ' ', ' Verify that the value in the ``CHECKSUM`` keyword matches the', ' value calculated for the current HDU CHECKSUM.', ' ', ' blocking : str, optional', ' "standard" or "nonstandard", compute sum 2880 bytes at a time, or', ' not', ' ', ' :Returns:', ' ', ' **valid** : int', ' ', ' - 0 - failure', ' - 1 - success', ' - 2 - no ``CHECKSUM`` keyword present', ' ', '', ".. py:method:: ImageHDU.verify_datasum(blocking='standard')", ' :module: astropy.io.fits', '', ' ', ' ', ' Verify that the value in the ``DATASUM`` keyword matches the value', ' calculated for the ``DATASUM`` of the current HDU data.', ' ', ' blocking : str, optional', ' "standard" or "nonstandard", compute sum 2880 bytes at a time, or', ' not', ' ', ' :Returns:', ' ', ' **valid** : int', ' ', ' - 0 - failure', ' - 1 - success', ' - 2 - no ``DATASUM`` keyword present', ' ', '', ".. py:method:: ImageHDU.writeto(name, output_verify='exception', overwrite=False, checksum=False)", ' :module: astropy.io.fits', '', ' ', ' ', ' Works similarly to the normal writeto(), but prepends a default', ' `PrimaryHDU` are required by extension HDUs (which cannot stand on', ' their own).', ' ', ' .. versionchanged:: 1.3', ' ``overwrite`` replaces the deprecated ``clobber`` argument.']:40: WARNING: py:obj reference target not found: True ['ImageHDU(data=None, header=None, name=None, do_not_scale_image_data=False, uint=True, scale_back=None)', ':module: astropy.io.fits', '', 'Bases: :class:`astropy.io.fits.hdu.image._ImageBaseHDU`, :class:`astropy.io.fits.hdu.base.ExtensionHDU`', '', '', '', 'FITS image extension HDU class.', '', '', '', '', 'Construct an image HDU.', '', '', ':Parameters:', '', ' **data** : array', '', ' The data in the HDU.', ' ', '', ' **header** : Header instance', '', ' The header to be used (as a template). If ``header`` is', ' `None`, a minimal header will be provided.', ' ', '', ' **name** : str, optional', '', ' The name of the HDU, will be the value of the keyword', ' ``EXTNAME``.', ' ', '', ' **do_not_scale_image_data** : bool, optional', '', ' If `True`, image data is not scaled using BSCALE/BZERO values', ' when read. (default: False)', ' ', '', ' **uint** : bool, optional', '', ' Interpret signed integer data where ``BZERO`` is the', ' central value and ``BSCALE == 1`` as unsigned integer', ' data. For example, ``int16`` data with ``BZERO = 32768``', ' and ``BSCALE = 1`` would be treated as ``uint16`` data.', ' (default: True)', ' ', '', ' **scale_back** : bool, optional', '', ' If `True`, when saving changes to a file that contained scaled', ' image data, restore the data to the original type and reapply the', ' original BSCALE/BZERO values. This could lead to loss of accuracy', ' if scaling back to integer values after performing floating point', ' operations on the data. Pseudo-unsigned integers are automatically', ' rescaled unless scale_back is explicitly set to `False`.', ' (default: None)', '', '', ".. py:method:: ImageHDU.add_checksum(when=None, override_datasum=False, blocking='standard', checksum_keyword='CHECKSUM', datasum_keyword='DATASUM')", ' :module: astropy.io.fits', '', ' ', ' ', ' Add the ``CHECKSUM`` and ``DATASUM`` cards to this HDU with', ' the values set to the checksum calculated for the HDU and the', ' data respectively. The addition of the ``DATASUM`` card may', ' be overridden.', ' ', ' ', ' :Parameters:', ' ', ' **when** : str, optional', ' ', ' comment string for the cards; by default the comments', ' will represent the time when the checksum was calculated', ' ', ' ', ' **override_datasum** : bool, optional', ' ', ' add the ``CHECKSUM`` card only', ' ', ' ', ' **blocking** : str, optional', ' ', ' "standard" or "nonstandard", compute sum 2880 bytes at a time, or', ' not', ' ', ' ', ' **checksum_keyword** : str, optional', ' ', ' The name of the header keyword to store the checksum value in; this', " is typically 'CHECKSUM' per convention, but there exist use cases", ' in which a different keyword should be used', ' ', ' ', ' **datasum_keyword** : str, optional', ' ', ' See ``checksum_keyword``', ' ', ' .. rubric:: Notes', ' ', ' ', ' For testing purposes, first call `add_datasum` with a ``when``', ' argument, then call `add_checksum` with a ``when`` argument and', ' ``override_datasum`` set to `True`. This will provide consistent', ' comments for both cards and enable the generation of a ``CHECKSUM``', ' card with a consistent value.', ' ', '', ".. py:method:: ImageHDU.add_datasum(when=None, blocking='standard', datasum_keyword='DATASUM')", ' :module: astropy.io.fits', '', ' ', ' ', ' Add the ``DATASUM`` card to this HDU with the value set to the', ' checksum calculated for the data.', ' ', ' ', ' :Parameters:', ' ', ' **when** : str, optional', ' ', ' Comment string for the card that by default represents the', ' time when the checksum was calculated', ' ', ' ', ' **blocking** : str, optional', ' ', ' "standard" or "nonstandard", compute sum 2880 bytes at a time, or', ' not', ' ', ' ', ' **datasum_keyword** : str, optional', ' ', ' The name of the header keyword to store the datasum value in;', " this is typically 'DATASUM' per convention, but there exist", ' use cases in which a different keyword should be used', ' ', ' :Returns:', ' ', ' **checksum** : int', ' ', ' The calculated datasum', ' ', ' .. rubric:: Notes', ' ', ' ', ' For testing purposes, provide a ``when`` argument to enable the comment', ' value in the card to remain consistent. This will enable the', ' generation of a ``CHECKSUM`` card with a consistent value.', ' ', '', '.. py:method:: ImageHDU.copy()', ' :module: astropy.io.fits', '', ' ', ' ', ' Make a copy of the HDU, both header and data are copied.', ' ', ' ', '', '.. py:attribute:: ImageHDU.data', ' :module: astropy.io.fits', '', ' ', ' ', ' Image/array data as a `~numpy.ndarray`.', ' ', ' Please remember that the order of axes on an Numpy array are opposite', ' of the order specified in the FITS file. For example for a 2D image', ' the "rows" or y-axis are the first dimension, and the "columns" or', ' x-axis are the second dimension.', ' ', ' If the data is scaled using the BZERO and BSCALE parameters, this', ' attribute returns the data scaled to its physical values unless the', ' file was opened with ``do_not_scale_image_data=True``.', ' ', '', '.. py:method:: ImageHDU.filebytes()', ' :module: astropy.io.fits', '', ' ', ' ', ' Calculates and returns the number of bytes that this HDU will write to', ' a file.', ' ', ' ', '', '.. py:method:: ImageHDU.fileinfo()', ' :module: astropy.io.fits', '', ' ', ' ', ' Returns a dictionary detailing information about the locations', ' of this HDU within any associated file. The values are only', ' valid after a read or write of the associated file with no', ' intervening changes to the `HDUList`.', ' ', ' ', ' :Returns:', ' ', ' dict or None', ' ', ' ', ' The dictionary details information about the locations of', ' this HDU within an associated file. Returns `None` when', ' the HDU is not associated with a file.', ' ', ' Dictionary contents:', ' ', ' ========== ================================================', ' Key Value', ' ========== ================================================', ' file File object associated with the HDU', ' filemode Mode in which the file was opened (readonly, copyonwrite,', ' update, append, ostream)', ' hdrLoc Starting byte location of header in file', ' datLoc Starting byte location of data block in file', ' datSpan Data size including padding', ' ========== ================================================', ' ', '', '.. py:method:: ImageHDU.fromstring(data, checksum=False, ignore_missing_end=False, **kwargs)', ' :module: astropy.io.fits', '', ' ', ' ', ' Creates a new HDU object of the appropriate type from a string', " containing the HDU's entire header and, optionally, its data.", ' ', ' Note: When creating a new HDU from a string without a backing file', ' object, the data of that HDU may be read-only. It depends on whether', ' the underlying string was an immutable Python str/bytes object, or some', ' kind of read-write memory buffer such as a `memoryview`.', ' ', ' :Parameters:', ' ', ' **data** : str, bytearray, memoryview, ndarray', ' ', " A byte string containing the HDU's header and data.", ' ', ' ', ' **checksum** : bool, optional', ' ', " Check the HDU's checksum and/or datasum.", ' ', ' ', ' **ignore_missing_end** : bool, optional', ' ', ' Ignore a missing end card in the header data. Note that without the', ' end card the end of the header may be ambiguous and resulted in a', ' corrupt HDU. In this case the assumption is that the first 2880', ' block that does not begin with valid FITS header data is the', ' beginning of the data.', ' ', ' ', ' **kwargs** : optional', ' ', ' May consist of additional keyword arguments specific to an HDU', ' type--these correspond to keywords recognized by the constructors of', ' different HDU classes such as `PrimaryHDU`, `ImageHDU`, or', ' `BinTableHDU`. Any unrecognized keyword arguments are simply', ' ignored.', ' ', '', '.. py:method:: ImageHDU.readfrom(fileobj, checksum=False, ignore_missing_end=False, **kwargs)', ' :module: astropy.io.fits', '', ' ', ' ', ' Read the HDU from a file. Normally an HDU should be opened with', ' :func:`open` which reads the entire HDU list in a FITS file. But this', ' method is still provided for symmetry with :func:`writeto`.', ' ', ' ', ' :Parameters:', ' ', ' **fileobj** : file object or file-like object', ' ', " Input FITS file. The file's seek pointer is assumed to be at the", ' beginning of the HDU.', ' ', ' ', ' **checksum** : bool', ' ', ' If `True`, verifies that both ``DATASUM`` and ``CHECKSUM`` card', ' values (when present in the HDU header) match the header and data', " of all HDU's in the file.", ' ', ' ', ' **ignore_missing_end** : bool', ' ', ' Do not issue an exception when opening a file that is missing an', ' ``END`` card in the last header.', ' ', '', '.. py:method:: ImageHDU.req_cards(keyword, pos, test, fix_value, option, errlist)', ' :module: astropy.io.fits', '', ' ', ' ', ' Check the existence, location, and value of a required `Card`.', ' ', ' ', ' :Parameters:', ' ', ' **keyword** : str', ' ', ' The keyword to validate', ' ', ' ', ' **pos** : int, callable', ' ', ' If an ``int``, this specifies the exact location this card should', ' have in the header. Remember that Python is zero-indexed, so this', ' means ``pos=0`` requires the card to be the first card in the', ' header. If given a callable, it should take one argument--the', ' actual position of the keyword--and return `True` or `False`. This', ' can be used for custom evaluation. For example if', " ``pos=lambda idx: idx > 10`` this will check that the keyword's", ' index is greater than 10.', ' ', ' ', ' **test** : callable', ' ', ' This should be a callable (generally a function) that is passed the', ' value of the given keyword and returns `True` or `False`. This can', ' be used to validate the value associated with the given keyword.', ' ', ' ', ' **fix_value** : str, int, float, complex, bool, None', ' ', ' A valid value for a FITS keyword to to use if the given ``test``', ' fails to replace an invalid value. In other words, this provides', " a default value to use as a replacement if the keyword's current", ' value is invalid. If `None`, there is no replacement value and the', ' keyword is unfixable.', ' ', ' ', ' **option** : str', ' ', ' Output verification option. Must be one of ``"fix"``,', ' ``"silentfix"``, ``"ignore"``, ``"warn"``, or', ' ``"exception"``. May also be any combination of ``"fix"`` or', ' ``"silentfix"`` with ``"+ignore"``, ``+warn``, or ``+exception"', ' (e.g. ``"fix+warn"``). See :ref:`verify` for more info.', ' ', ' ', ' **errlist** : list', ' ', ' A list of validation errors already found in the FITS file; this is', ' used primarily for the validation system to collect errors across', ' multiple HDUs and multiple calls to `req_cards`.', ' ', ' .. rubric:: Notes', ' ', ' ', ' If ``pos=None``, the card can be anywhere in the header. If the card', ' does not exist, the new card will have the ``fix_value`` as its value', " when created. Also check the card's value by using the ``test``", ' argument.', ' ', '', ".. py:method:: ImageHDU.run_option(option='warn', err_text='', fix_text='Fixed.', fix=None, fixable=True)", ' :module: astropy.io.fits', '', ' ', ' ', ' Execute the verification with selected option.', ' ', ' ', '', ".. py:method:: ImageHDU.scale(type=None, option='old', bscale=None, bzero=None)", ' :module: astropy.io.fits', '', ' ', ' ', ' Scale image data by using ``BSCALE``/``BZERO``.', ' ', ' Call to this method will scale `data` and update the keywords of', " ``BSCALE`` and ``BZERO`` in the HDU's header. This method should only", ' be used right before writing to the output file, as the data will be', ' scaled and is therefore not very usable after the call.', ' ', ' :Parameters:', ' ', ' **type** : str, optional', ' ', ' destination data type, use a string representing a numpy', " dtype name, (e.g. ``'uint8'``, ``'int16'``, ``'float32'``", ' etc.). If is `None`, use the current data type.', ' ', ' ', ' **option** : str, optional', ' ', ' How to scale the data: ``"old"`` uses the original ``BSCALE`` and', ' ``BZERO`` values from when the data was read/created (defaulting to', ' 1 and 0 if they don\'t exist). For integer data only, ``"minmax"``', ' uses the minimum and maximum of the data to scale. User-specified', ' ``bscale``/``bzero`` values always take precedence.', ' ', ' ', ' **bscale, bzero** : int, optional', ' ', ' User-specified ``BSCALE`` and ``BZERO`` values', ' ', '', '.. py:attribute:: ImageHDU.section', ' :module: astropy.io.fits', '', ' ', ' ', ' Access a section of the image array without loading the entire array', ' into memory. The :class:`Section` object returned by this attribute is', ' not meant to be used directly by itself. Rather, slices of the section', ' return the appropriate slice of the data, and loads *only* that section', ' into memory.', ' ', ' Sections are mostly obsoleted by memmap support, but should still be', ' used to deal with very large scaled images. See the', ' :ref:`data-sections` section of the PyFITS documentation for more', ' details.', ' ', '', '.. py:attribute:: ImageHDU.shape', ' :module: astropy.io.fits', '', ' ', ' ', ' Shape of the image array--should be equivalent to ``self.data.shape``.', ' ', ' ', '', '.. py:attribute:: ImageHDU.size', ' :module: astropy.io.fits', '', ' ', ' ', ' Size (in bytes) of the data portion of the HDU.', ' ', ' ', '', '.. py:method:: ImageHDU.update_header()', ' :module: astropy.io.fits', '', ' ', ' ', ' Update the header keywords to agree with the data.', ' ', ' ', '', ".. py:method:: ImageHDU.verify(option='warn')", ' :module: astropy.io.fits', '', ' ', ' ', ' Verify all values in the instance.', ' ', ' ', ' :Parameters:', ' ', ' **option** : str', ' ', ' Output verification option. Must be one of ``"fix"``,', ' ``"silentfix"``, ``"ignore"``, ``"warn"``, or', ' ``"exception"``. May also be any combination of ``"fix"`` or', ' ``"silentfix"`` with ``"+ignore"``, ``+warn``, or ``+exception"', ' (e.g. ``"fix+warn"``). See :ref:`verify` for more info.', ' ', '', ".. py:method:: ImageHDU.verify_checksum(blocking='standard')", ' :module: astropy.io.fits', '', ' ', ' ', ' Verify that the value in the ``CHECKSUM`` keyword matches the', ' value calculated for the current HDU CHECKSUM.', ' ', ' blocking : str, optional', ' "standard" or "nonstandard", compute sum 2880 bytes at a time, or', ' not', ' ', ' :Returns:', ' ', ' **valid** : int', ' ', ' - 0 - failure', ' - 1 - success', ' - 2 - no ``CHECKSUM`` keyword present', ' ', '', ".. py:method:: ImageHDU.verify_datasum(blocking='standard')", ' :module: astropy.io.fits', '', ' ', ' ', ' Verify that the value in the ``DATASUM`` keyword matches the value', ' calculated for the ``DATASUM`` of the current HDU data.', ' ', ' blocking : str, optional', ' "standard" or "nonstandard", compute sum 2880 bytes at a time, or', ' not', ' ', ' :Returns:', ' ', ' **valid** : int', ' ', ' - 0 - failure', ' - 1 - success', ' - 2 - no ``DATASUM`` keyword present', ' ', '', ".. py:method:: ImageHDU.writeto(name, output_verify='exception', overwrite=False, checksum=False)", ' :module: astropy.io.fits', '', ' ', ' ', ' Works similarly to the normal writeto(), but prepends a default', ' `PrimaryHDU` are required by extension HDUs (which cannot stand on', ' their own).', ' ', ' .. versionchanged:: 1.3', ' ``overwrite`` replaces the deprecated ``clobber`` argument.']:40: WARNING: py:obj reference target not found: False ["ImageHDU.add_checksum(when=None, override_datasum=False, blocking='standard', checksum_keyword='CHECKSUM', datasum_keyword='DATASUM')", ':module: astropy.io.fits', '', 'Add the ``CHECKSUM`` and ``DATASUM`` cards to this HDU with', 'the values set to the checksum calculated for the HDU and the', 'data respectively. The addition of the ``DATASUM`` card may', 'be overridden.', '', ':Parameters:', '', ' **when** : str, optional', '', ' comment string for the cards; by default the comments', ' will represent the time when the checksum was calculated', '', ' **override_datasum** : bool, optional', '', ' add the ``CHECKSUM`` card only', '', ' **blocking** : str, optional', '', ' "standard" or "nonstandard", compute sum 2880 bytes at a time, or', ' not', '', ' **checksum_keyword** : str, optional', '', ' The name of the header keyword to store the checksum value in; this', " is typically 'CHECKSUM' per convention, but there exist use cases", ' in which a different keyword should be used', '', ' **datasum_keyword** : str, optional', '', ' See ``checksum_keyword``', '', '.. rubric:: Notes', '', 'For testing purposes, first call `add_datasum` with a ``when``', 'argument, then call `add_checksum` with a ``when`` argument and', '``override_datasum`` set to `True`. This will provide consistent', 'comments for both cards and enable the generation of a ``CHECKSUM``', 'card with a consistent value.']:36: WARNING: py:obj reference target not found: True ['ImageHDU.data', ':module: astropy.io.fits', '', 'Image/array data as a `~numpy.ndarray`.', '', 'Please remember that the order of axes on an Numpy array are opposite', 'of the order specified in the FITS file. For example for a 2D image', 'the "rows" or y-axis are the first dimension, and the "columns" or', 'x-axis are the second dimension.', '', 'If the data is scaled using the BZERO and BSCALE parameters, this', 'attribute returns the data scaled to its physical values unless the', 'file was opened with ``do_not_scale_image_data=True``.']:3: WARNING: py:obj reference target not found: numpy.ndarray ['ImageHDU.fileinfo()', ':module: astropy.io.fits', '', 'Returns a dictionary detailing information about the locations', 'of this HDU within any associated file. The values are only', 'valid after a read or write of the associated file with no', 'intervening changes to the `HDUList`.', '', ':Returns:', '', ' dict or None', '', ' The dictionary details information about the locations of', ' this HDU within an associated file. Returns `None` when', ' the HDU is not associated with a file.', '', ' Dictionary contents:', '', ' ========== ================================================', ' Key Value', ' ========== ================================================', ' file File object associated with the HDU', ' filemode Mode in which the file was opened (readonly, copyonwrite,', ' update, append, ostream)', ' hdrLoc Starting byte location of header in file', ' datLoc Starting byte location of data block in file', ' datSpan Data size including padding', ' ========== ================================================']:12: WARNING: py:obj reference target not found: None ['ImageHDU.fromstring(data, checksum=False, ignore_missing_end=False, **kwargs)', ':module: astropy.io.fits', '', 'Creates a new HDU object of the appropriate type from a string', "containing the HDU's entire header and, optionally, its data.", '', 'Note: When creating a new HDU from a string without a backing file', 'object, the data of that HDU may be read-only. It depends on whether', 'the underlying string was an immutable Python str/bytes object, or some', 'kind of read-write memory buffer such as a `memoryview`.', '', ':Parameters:', '', ' **data** : str, bytearray, memoryview, ndarray', '', " A byte string containing the HDU's header and data.", '', ' **checksum** : bool, optional', '', " Check the HDU's checksum and/or datasum.", '', ' **ignore_missing_end** : bool, optional', '', ' Ignore a missing end card in the header data. Note that without the', ' end card the end of the header may be ambiguous and resulted in a', ' corrupt HDU. In this case the assumption is that the first 2880', ' block that does not begin with valid FITS header data is the', ' beginning of the data.', '', ' **kwargs** : optional', '', ' May consist of additional keyword arguments specific to an HDU', ' type--these correspond to keywords recognized by the constructors of', ' different HDU classes such as `PrimaryHDU`, `ImageHDU`, or', ' `BinTableHDU`. Any unrecognized keyword arguments are simply', ' ignored.']:6: WARNING: py:obj reference target not found: memoryview ['ImageHDU.readfrom(fileobj, checksum=False, ignore_missing_end=False, **kwargs)', ':module: astropy.io.fits', '', 'Read the HDU from a file. Normally an HDU should be opened with', ':func:`open` which reads the entire HDU list in a FITS file. But this', 'method is still provided for symmetry with :func:`writeto`.', '', ':Parameters:', '', ' **fileobj** : file object or file-like object', '', " Input FITS file. The file's seek pointer is assumed to be at the", ' beginning of the HDU.', '', ' **checksum** : bool', '', ' If `True`, verifies that both ``DATASUM`` and ``CHECKSUM`` card', ' values (when present in the HDU header) match the header and data', " of all HDU's in the file.", '', ' **ignore_missing_end** : bool', '', ' Do not issue an exception when opening a file that is missing an', ' ``END`` card in the last header.']:16: WARNING: py:obj reference target not found: True ['ImageHDU.req_cards(keyword, pos, test, fix_value, option, errlist)', ':module: astropy.io.fits', '', 'Check the existence, location, and value of a required `Card`.', '', ':Parameters:', '', ' **keyword** : str', '', ' The keyword to validate', '', ' **pos** : int, callable', '', ' If an ``int``, this specifies the exact location this card should', ' have in the header. Remember that Python is zero-indexed, so this', ' means ``pos=0`` requires the card to be the first card in the', ' header. If given a callable, it should take one argument--the', ' actual position of the keyword--and return `True` or `False`. This', ' can be used for custom evaluation. For example if', " ``pos=lambda idx: idx > 10`` this will check that the keyword's", ' index is greater than 10.', '', ' **test** : callable', '', ' This should be a callable (generally a function) that is passed the', ' value of the given keyword and returns `True` or `False`. This can', ' be used to validate the value associated with the given keyword.', '', ' **fix_value** : str, int, float, complex, bool, None', '', ' A valid value for a FITS keyword to to use if the given ``test``', ' fails to replace an invalid value. In other words, this provides', " a default value to use as a replacement if the keyword's current", ' value is invalid. If `None`, there is no replacement value and the', ' keyword is unfixable.', '', ' **option** : str', '', ' Output verification option. Must be one of ``"fix"``,', ' ``"silentfix"``, ``"ignore"``, ``"warn"``, or', ' ``"exception"``. May also be any combination of ``"fix"`` or', ' ``"silentfix"`` with ``"+ignore"``, ``+warn``, or ``+exception"', ' (e.g. ``"fix+warn"``). See :ref:`verify` for more info.', '', ' **errlist** : list', '', ' A list of validation errors already found in the FITS file; this is', ' used primarily for the validation system to collect errors across', ' multiple HDUs and multiple calls to `req_cards`.', '', '.. rubric:: Notes', '', 'If ``pos=None``, the card can be anywhere in the header. If the card', 'does not exist, the new card will have the ``fix_value`` as its value', "when created. Also check the card's value by using the ``test``", 'argument.']:13: WARNING: py:obj reference target not found: True ['ImageHDU.req_cards(keyword, pos, test, fix_value, option, errlist)', ':module: astropy.io.fits', '', 'Check the existence, location, and value of a required `Card`.', '', ':Parameters:', '', ' **keyword** : str', '', ' The keyword to validate', '', ' **pos** : int, callable', '', ' If an ``int``, this specifies the exact location this card should', ' have in the header. Remember that Python is zero-indexed, so this', ' means ``pos=0`` requires the card to be the first card in the', ' header. If given a callable, it should take one argument--the', ' actual position of the keyword--and return `True` or `False`. This', ' can be used for custom evaluation. For example if', " ``pos=lambda idx: idx > 10`` this will check that the keyword's", ' index is greater than 10.', '', ' **test** : callable', '', ' This should be a callable (generally a function) that is passed the', ' value of the given keyword and returns `True` or `False`. This can', ' be used to validate the value associated with the given keyword.', '', ' **fix_value** : str, int, float, complex, bool, None', '', ' A valid value for a FITS keyword to to use if the given ``test``', ' fails to replace an invalid value. In other words, this provides', " a default value to use as a replacement if the keyword's current", ' value is invalid. If `None`, there is no replacement value and the', ' keyword is unfixable.', '', ' **option** : str', '', ' Output verification option. Must be one of ``"fix"``,', ' ``"silentfix"``, ``"ignore"``, ``"warn"``, or', ' ``"exception"``. May also be any combination of ``"fix"`` or', ' ``"silentfix"`` with ``"+ignore"``, ``+warn``, or ``+exception"', ' (e.g. ``"fix+warn"``). See :ref:`verify` for more info.', '', ' **errlist** : list', '', ' A list of validation errors already found in the FITS file; this is', ' used primarily for the validation system to collect errors across', ' multiple HDUs and multiple calls to `req_cards`.', '', '.. rubric:: Notes', '', 'If ``pos=None``, the card can be anywhere in the header. If the card', 'does not exist, the new card will have the ``fix_value`` as its value', "when created. Also check the card's value by using the ``test``", 'argument.']:13: WARNING: py:obj reference target not found: False ['ImageHDU.req_cards(keyword, pos, test, fix_value, option, errlist)', ':module: astropy.io.fits', '', 'Check the existence, location, and value of a required `Card`.', '', ':Parameters:', '', ' **keyword** : str', '', ' The keyword to validate', '', ' **pos** : int, callable', '', ' If an ``int``, this specifies the exact location this card should', ' have in the header. Remember that Python is zero-indexed, so this', ' means ``pos=0`` requires the card to be the first card in the', ' header. If given a callable, it should take one argument--the', ' actual position of the keyword--and return `True` or `False`. This', ' can be used for custom evaluation. For example if', " ``pos=lambda idx: idx > 10`` this will check that the keyword's", ' index is greater than 10.', '', ' **test** : callable', '', ' This should be a callable (generally a function) that is passed the', ' value of the given keyword and returns `True` or `False`. This can', ' be used to validate the value associated with the given keyword.', '', ' **fix_value** : str, int, float, complex, bool, None', '', ' A valid value for a FITS keyword to to use if the given ``test``', ' fails to replace an invalid value. In other words, this provides', " a default value to use as a replacement if the keyword's current", ' value is invalid. If `None`, there is no replacement value and the', ' keyword is unfixable.', '', ' **option** : str', '', ' Output verification option. Must be one of ``"fix"``,', ' ``"silentfix"``, ``"ignore"``, ``"warn"``, or', ' ``"exception"``. May also be any combination of ``"fix"`` or', ' ``"silentfix"`` with ``"+ignore"``, ``+warn``, or ``+exception"', ' (e.g. ``"fix+warn"``). See :ref:`verify` for more info.', '', ' **errlist** : list', '', ' A list of validation errors already found in the FITS file; this is', ' used primarily for the validation system to collect errors across', ' multiple HDUs and multiple calls to `req_cards`.', '', '.. rubric:: Notes', '', 'If ``pos=None``, the card can be anywhere in the header. If the card', 'does not exist, the new card will have the ``fix_value`` as its value', "when created. Also check the card's value by using the ``test``", 'argument.']:24: WARNING: py:obj reference target not found: True ['ImageHDU.req_cards(keyword, pos, test, fix_value, option, errlist)', ':module: astropy.io.fits', '', 'Check the existence, location, and value of a required `Card`.', '', ':Parameters:', '', ' **keyword** : str', '', ' The keyword to validate', '', ' **pos** : int, callable', '', ' If an ``int``, this specifies the exact location this card should', ' have in the header. Remember that Python is zero-indexed, so this', ' means ``pos=0`` requires the card to be the first card in the', ' header. If given a callable, it should take one argument--the', ' actual position of the keyword--and return `True` or `False`. This', ' can be used for custom evaluation. For example if', " ``pos=lambda idx: idx > 10`` this will check that the keyword's", ' index is greater than 10.', '', ' **test** : callable', '', ' This should be a callable (generally a function) that is passed the', ' value of the given keyword and returns `True` or `False`. This can', ' be used to validate the value associated with the given keyword.', '', ' **fix_value** : str, int, float, complex, bool, None', '', ' A valid value for a FITS keyword to to use if the given ``test``', ' fails to replace an invalid value. In other words, this provides', " a default value to use as a replacement if the keyword's current", ' value is invalid. If `None`, there is no replacement value and the', ' keyword is unfixable.', '', ' **option** : str', '', ' Output verification option. Must be one of ``"fix"``,', ' ``"silentfix"``, ``"ignore"``, ``"warn"``, or', ' ``"exception"``. May also be any combination of ``"fix"`` or', ' ``"silentfix"`` with ``"+ignore"``, ``+warn``, or ``+exception"', ' (e.g. ``"fix+warn"``). See :ref:`verify` for more info.', '', ' **errlist** : list', '', ' A list of validation errors already found in the FITS file; this is', ' used primarily for the validation system to collect errors across', ' multiple HDUs and multiple calls to `req_cards`.', '', '.. rubric:: Notes', '', 'If ``pos=None``, the card can be anywhere in the header. If the card', 'does not exist, the new card will have the ``fix_value`` as its value', "when created. Also check the card's value by using the ``test``", 'argument.']:24: WARNING: py:obj reference target not found: False ['ImageHDU.req_cards(keyword, pos, test, fix_value, option, errlist)', ':module: astropy.io.fits', '', 'Check the existence, location, and value of a required `Card`.', '', ':Parameters:', '', ' **keyword** : str', '', ' The keyword to validate', '', ' **pos** : int, callable', '', ' If an ``int``, this specifies the exact location this card should', ' have in the header. Remember that Python is zero-indexed, so this', ' means ``pos=0`` requires the card to be the first card in the', ' header. If given a callable, it should take one argument--the', ' actual position of the keyword--and return `True` or `False`. This', ' can be used for custom evaluation. For example if', " ``pos=lambda idx: idx > 10`` this will check that the keyword's", ' index is greater than 10.', '', ' **test** : callable', '', ' This should be a callable (generally a function) that is passed the', ' value of the given keyword and returns `True` or `False`. This can', ' be used to validate the value associated with the given keyword.', '', ' **fix_value** : str, int, float, complex, bool, None', '', ' A valid value for a FITS keyword to to use if the given ``test``', ' fails to replace an invalid value. In other words, this provides', " a default value to use as a replacement if the keyword's current", ' value is invalid. If `None`, there is no replacement value and the', ' keyword is unfixable.', '', ' **option** : str', '', ' Output verification option. Must be one of ``"fix"``,', ' ``"silentfix"``, ``"ignore"``, ``"warn"``, or', ' ``"exception"``. May also be any combination of ``"fix"`` or', ' ``"silentfix"`` with ``"+ignore"``, ``+warn``, or ``+exception"', ' (e.g. ``"fix+warn"``). See :ref:`verify` for more info.', '', ' **errlist** : list', '', ' A list of validation errors already found in the FITS file; this is', ' used primarily for the validation system to collect errors across', ' multiple HDUs and multiple calls to `req_cards`.', '', '.. rubric:: Notes', '', 'If ``pos=None``, the card can be anywhere in the header. If the card', 'does not exist, the new card will have the ``fix_value`` as its value', "when created. Also check the card's value by using the ``test``", 'argument.']:30: WARNING: py:obj reference target not found: None ["ImageHDU.scale(type=None, option='old', bscale=None, bzero=None)", ':module: astropy.io.fits', '', 'Scale image data by using ``BSCALE``/``BZERO``.', '', 'Call to this method will scale `data` and update the keywords of', "``BSCALE`` and ``BZERO`` in the HDU's header. This method should only", 'be used right before writing to the output file, as the data will be', 'scaled and is therefore not very usable after the call.', '', ':Parameters:', '', ' **type** : str, optional', '', ' destination data type, use a string representing a numpy', " dtype name, (e.g. ``'uint8'``, ``'int16'``, ``'float32'``", ' etc.). If is `None`, use the current data type.', '', ' **option** : str, optional', '', ' How to scale the data: ``"old"`` uses the original ``BSCALE`` and', ' ``BZERO`` values from when the data was read/created (defaulting to', ' 1 and 0 if they don\'t exist). For integer data only, ``"minmax"``', ' uses the minimum and maximum of the data to scale. User-specified', ' ``bscale``/``bzero`` values always take precedence.', '', ' **bscale, bzero** : int, optional', '', ' User-specified ``BSCALE`` and ``BZERO`` values']:14: WARNING: py:obj reference target not found: None /<>/docs/io/fits/api/images.rst:24: WARNING: py:obj reference target not found: None ["CompImageHDU.add_checksum(when=None, override_datasum=False, blocking='standard', checksum_keyword='CHECKSUM', datasum_keyword='DATASUM')", ':module: astropy.io.fits', '', 'Add the ``CHECKSUM`` and ``DATASUM`` cards to this HDU with', 'the values set to the checksum calculated for the HDU and the', 'data respectively. The addition of the ``DATASUM`` card may', 'be overridden.', '', ':Parameters:', '', ' **when** : str, optional', '', ' comment string for the cards; by default the comments', ' will represent the time when the checksum was calculated', '', ' **override_datasum** : bool, optional', '', ' add the ``CHECKSUM`` card only', '', ' **blocking** : str, optional', '', ' "standard" or "nonstandard", compute sum 2880 bytes at a time, or', ' not', '', ' **checksum_keyword** : str, optional', '', ' The name of the header keyword to store the checksum value in; this', " is typically 'CHECKSUM' per convention, but there exist use cases", ' in which a different keyword should be used', '', ' **datasum_keyword** : str, optional', '', ' See ``checksum_keyword``', '', '.. rubric:: Notes', '', 'For testing purposes, first call `add_datasum` with a ``when``', 'argument, then call `add_checksum` with a ``when`` argument and', '``override_datasum`` set to `True`. This will provide consistent', 'comments for both cards and enable the generation of a ``CHECKSUM``', 'card with a consistent value.']:36: WARNING: py:obj reference target not found: True ['CompImageHDU.dump(datafile=None, cdfile=None, hfile=None, overwrite=False)', ':module: astropy.io.fits', '', 'Dump the table HDU to a file in ASCII format. The table may be dumped', 'in three separate files, one containing column definitions, one', 'containing header parameters, and one for table data.', '', ':Parameters:', '', ' **datafile** : file path, file object or file-like object, optional', '', ' Output data file. The default is the root name of the', ' fits file associated with this HDU appended with the', ' extension ``.txt``.', '', ' **cdfile** : file path, file object or file-like object, optional', '', ' Output column definitions file. The default is `None`, no', ' column definitions output is produced.', '', ' **hfile** : file path, file object or file-like object, optional', '', ' Output header parameters file. The default is `None`,', ' no header parameters output is produced.', '', ' **overwrite** : bool, optional', '', ' If ``True``, overwrite the output file if it exists. Raises an', ' ``OSError`` (``IOError`` for Python 2) if ``False`` and the', ' output file exists. Default is ``False``.', '', ' .. versionchanged:: 1.3', ' ``overwrite`` replaces the deprecated ``clobber`` argument.', '', '.. rubric:: Notes', '', 'The primary use for the `dump` method is to allow viewing and editing', 'the table data and parameters in a standard text editor.', 'The `load` method can be used to create a new table from the three', 'plain text (ASCII) files.', '', '- **datafile:** Each line of the data file represents one row of table', ' data. The data is output one column at a time in column order. If', ' a column contains an array, each element of the column array in the', ' current row is output before moving on to the next column. Each row', ' ends with a new line.', '', ' Integer data is output right-justified in a 21-character field', ' followed by a blank. Floating point data is output right justified', " using 'g' format in a 21-character field with 15 digits of", ' precision, followed by a blank. String data that does not contain', ' whitespace is output left-justified in a field whose width matches', ' the width specified in the ``TFORM`` header parameter for the', ' column, followed by a blank. When the string data contains', ' whitespace characters, the string is enclosed in quotation marks', ' (``""``). For the last data element in a row, the trailing blank in', ' the field is replaced by a new line character.', '', " For column data containing variable length arrays ('P' format), the", " array data is preceded by the string ``'VLA_Length= '`` and the", ' integer length of the array for that row, left-justified in a', ' 21-character field, followed by a blank.', '', ' .. note::', '', ' This format does *not* support variable length arrays using the', " ('Q' format) due to difficult to overcome ambiguities. What this", ' means is that this file format cannot support VLA columns in', ' tables stored in files that are over 2 GB in size.', '', " For column data representing a bit field ('X' format), each bit", ' value in the field is output right-justified in a 21-character field', ' as 1 (for true) or 0 (for false).', '', '- **cdfile:** Each line of the column definitions file provides the', ' definitions for one column in the table. The line is broken up into', ' 8, sixteen-character fields. The first field provides the column', ' name (``TTYPEn``). The second field provides the column format', ' (``TFORMn``). The third field provides the display format', ' (``TDISPn``). The fourth field provides the physical units', ' (``TUNITn``). The fifth field provides the dimensions for a', ' multidimensional array (``TDIMn``). The sixth field provides the', ' value that signifies an undefined value (``TNULLn``). The seventh', ' field provides the scale factor (``TSCALn``). The eighth field', ' provides the offset value (``TZEROn``). A field value of ``""`` is', ' used to represent the case where no value is provided.', '', '- **hfile:** Each line of the header parameters file provides the', ' definition of a single HDU header card as represented by the card', ' image.']:17: WARNING: py:obj reference target not found: None ['CompImageHDU.dump(datafile=None, cdfile=None, hfile=None, overwrite=False)', ':module: astropy.io.fits', '', 'Dump the table HDU to a file in ASCII format. The table may be dumped', 'in three separate files, one containing column definitions, one', 'containing header parameters, and one for table data.', '', ':Parameters:', '', ' **datafile** : file path, file object or file-like object, optional', '', ' Output data file. The default is the root name of the', ' fits file associated with this HDU appended with the', ' extension ``.txt``.', '', ' **cdfile** : file path, file object or file-like object, optional', '', ' Output column definitions file. The default is `None`, no', ' column definitions output is produced.', '', ' **hfile** : file path, file object or file-like object, optional', '', ' Output header parameters file. The default is `None`,', ' no header parameters output is produced.', '', ' **overwrite** : bool, optional', '', ' If ``True``, overwrite the output file if it exists. Raises an', ' ``OSError`` (``IOError`` for Python 2) if ``False`` and the', ' output file exists. Default is ``False``.', '', ' .. versionchanged:: 1.3', ' ``overwrite`` replaces the deprecated ``clobber`` argument.', '', '.. rubric:: Notes', '', 'The primary use for the `dump` method is to allow viewing and editing', 'the table data and parameters in a standard text editor.', 'The `load` method can be used to create a new table from the three', 'plain text (ASCII) files.', '', '- **datafile:** Each line of the data file represents one row of table', ' data. The data is output one column at a time in column order. If', ' a column contains an array, each element of the column array in the', ' current row is output before moving on to the next column. Each row', ' ends with a new line.', '', ' Integer data is output right-justified in a 21-character field', ' followed by a blank. Floating point data is output right justified', " using 'g' format in a 21-character field with 15 digits of", ' precision, followed by a blank. String data that does not contain', ' whitespace is output left-justified in a field whose width matches', ' the width specified in the ``TFORM`` header parameter for the', ' column, followed by a blank. When the string data contains', ' whitespace characters, the string is enclosed in quotation marks', ' (``""``). For the last data element in a row, the trailing blank in', ' the field is replaced by a new line character.', '', " For column data containing variable length arrays ('P' format), the", " array data is preceded by the string ``'VLA_Length= '`` and the", ' integer length of the array for that row, left-justified in a', ' 21-character field, followed by a blank.', '', ' .. note::', '', ' This format does *not* support variable length arrays using the', " ('Q' format) due to difficult to overcome ambiguities. What this", ' means is that this file format cannot support VLA columns in', ' tables stored in files that are over 2 GB in size.', '', " For column data representing a bit field ('X' format), each bit", ' value in the field is output right-justified in a 21-character field', ' as 1 (for true) or 0 (for false).', '', '- **cdfile:** Each line of the column definitions file provides the', ' definitions for one column in the table. The line is broken up into', ' 8, sixteen-character fields. The first field provides the column', ' name (``TTYPEn``). The second field provides the column format', ' (``TFORMn``). The third field provides the display format', ' (``TDISPn``). The fourth field provides the physical units', ' (``TUNITn``). The fifth field provides the dimensions for a', ' multidimensional array (``TDIMn``). The sixth field provides the', ' value that signifies an undefined value (``TNULLn``). The seventh', ' field provides the scale factor (``TSCALn``). The eighth field', ' provides the offset value (``TZEROn``). A field value of ``""`` is', ' used to represent the case where no value is provided.', '', '- **hfile:** Each line of the header parameters file provides the', ' definition of a single HDU header card as represented by the card', ' image.']:22: WARNING: py:obj reference target not found: None ['CompImageHDU.fileinfo()', ':module: astropy.io.fits', '', 'Returns a dictionary detailing information about the locations', 'of this HDU within any associated file. The values are only', 'valid after a read or write of the associated file with no', 'intervening changes to the `HDUList`.', '', ':Returns:', '', ' dict or None', '', ' The dictionary details information about the locations of', ' this HDU within an associated file. Returns `None` when', ' the HDU is not associated with a file.', '', ' Dictionary contents:', '', ' ========== ================================================', ' Key Value', ' ========== ================================================', ' file File object associated with the HDU', ' filemode Mode in which the file was opened (readonly, copyonwrite,', ' update, append, ostream)', ' hdrLoc Starting byte location of header in file', ' datLoc Starting byte location of data block in file', ' datSpan Data size including padding', ' ========== ================================================']:12: WARNING: py:obj reference target not found: None ['CompImageHDU.from_columns(columns, header=None, nrows=0, fill=False, **kwargs)', ':module: astropy.io.fits', '', 'Given either a `ColDefs` object, a sequence of `Column` objects,', 'or another table HDU or table data (a `FITS_rec` or multi-field', '`numpy.ndarray` or `numpy.recarray` object, return a new table HDU of', 'the class this method was called on using the column definition from', 'the input.', '', 'See also `FITS_rec.from_columns`.', '', ':Parameters:', '', ' **columns** : sequence of `Column`, `ColDefs`, or other', '', ' The columns from which to create the table data, or an object with', ' a column-like structure from which a `ColDefs` can be instantiated.', ' This includes an existing `BinTableHDU` or `TableHDU`, or a', ' `numpy.recarray` to give some examples.', '', ' If these columns have data arrays attached that data may be used in', ' initializing the new table. Otherwise the input columns will be', ' used as a template for a new table with the requested number of', ' rows.', '', ' **header** : `Header`', '', ' An optional `Header` object to instantiate the new HDU yet. Header', ' keywords specifically related to defining the table structure (such', ' as the "TXXXn" keywords like TTYPEn) will be overridden by the', ' supplied column definitions, but all other informational and data', ' model-specific keywords are kept.', '', ' **nrows** : int', '', ' Number of rows in the new table. If the input columns have data', ' associated with them, the size of the largest input column is used.', ' Otherwise the default is 0.', '', ' **fill** : bool', '', ' If `True`, will fill all cells with zeros or blanks. If `False`,', ' copy the data from input, undefined cells will still be filled with', ' zeros/blanks.', '', '.. rubric:: Notes', '', "Any additional keyword arguments accepted by the HDU class's", '``__init__`` may also be passed in as keyword arguments.']:3: WARNING: py:obj reference target not found: numpy.ndarray ['CompImageHDU.from_columns(columns, header=None, nrows=0, fill=False, **kwargs)', ':module: astropy.io.fits', '', 'Given either a `ColDefs` object, a sequence of `Column` objects,', 'or another table HDU or table data (a `FITS_rec` or multi-field', '`numpy.ndarray` or `numpy.recarray` object, return a new table HDU of', 'the class this method was called on using the column definition from', 'the input.', '', 'See also `FITS_rec.from_columns`.', '', ':Parameters:', '', ' **columns** : sequence of `Column`, `ColDefs`, or other', '', ' The columns from which to create the table data, or an object with', ' a column-like structure from which a `ColDefs` can be instantiated.', ' This includes an existing `BinTableHDU` or `TableHDU`, or a', ' `numpy.recarray` to give some examples.', '', ' If these columns have data arrays attached that data may be used in', ' initializing the new table. Otherwise the input columns will be', ' used as a template for a new table with the requested number of', ' rows.', '', ' **header** : `Header`', '', ' An optional `Header` object to instantiate the new HDU yet. Header', ' keywords specifically related to defining the table structure (such', ' as the "TXXXn" keywords like TTYPEn) will be overridden by the', ' supplied column definitions, but all other informational and data', ' model-specific keywords are kept.', '', ' **nrows** : int', '', ' Number of rows in the new table. If the input columns have data', ' associated with them, the size of the largest input column is used.', ' Otherwise the default is 0.', '', ' **fill** : bool', '', ' If `True`, will fill all cells with zeros or blanks. If `False`,', ' copy the data from input, undefined cells will still be filled with', ' zeros/blanks.', '', '.. rubric:: Notes', '', "Any additional keyword arguments accepted by the HDU class's", '``__init__`` may also be passed in as keyword arguments.']:3: WARNING: py:obj reference target not found: numpy.recarray ['CompImageHDU.from_columns(columns, header=None, nrows=0, fill=False, **kwargs)', ':module: astropy.io.fits', '', 'Given either a `ColDefs` object, a sequence of `Column` objects,', 'or another table HDU or table data (a `FITS_rec` or multi-field', '`numpy.ndarray` or `numpy.recarray` object, return a new table HDU of', 'the class this method was called on using the column definition from', 'the input.', '', 'See also `FITS_rec.from_columns`.', '', ':Parameters:', '', ' **columns** : sequence of `Column`, `ColDefs`, or other', '', ' The columns from which to create the table data, or an object with', ' a column-like structure from which a `ColDefs` can be instantiated.', ' This includes an existing `BinTableHDU` or `TableHDU`, or a', ' `numpy.recarray` to give some examples.', '', ' If these columns have data arrays attached that data may be used in', ' initializing the new table. Otherwise the input columns will be', ' used as a template for a new table with the requested number of', ' rows.', '', ' **header** : `Header`', '', ' An optional `Header` object to instantiate the new HDU yet. Header', ' keywords specifically related to defining the table structure (such', ' as the "TXXXn" keywords like TTYPEn) will be overridden by the', ' supplied column definitions, but all other informational and data', ' model-specific keywords are kept.', '', ' **nrows** : int', '', ' Number of rows in the new table. If the input columns have data', ' associated with them, the size of the largest input column is used.', ' Otherwise the default is 0.', '', ' **fill** : bool', '', ' If `True`, will fill all cells with zeros or blanks. If `False`,', ' copy the data from input, undefined cells will still be filled with', ' zeros/blanks.', '', '.. rubric:: Notes', '', "Any additional keyword arguments accepted by the HDU class's", '``__init__`` may also be passed in as keyword arguments.']:15: WARNING: py:obj reference target not found: numpy.recarray ['CompImageHDU.from_columns(columns, header=None, nrows=0, fill=False, **kwargs)', ':module: astropy.io.fits', '', 'Given either a `ColDefs` object, a sequence of `Column` objects,', 'or another table HDU or table data (a `FITS_rec` or multi-field', '`numpy.ndarray` or `numpy.recarray` object, return a new table HDU of', 'the class this method was called on using the column definition from', 'the input.', '', 'See also `FITS_rec.from_columns`.', '', ':Parameters:', '', ' **columns** : sequence of `Column`, `ColDefs`, or other', '', ' The columns from which to create the table data, or an object with', ' a column-like structure from which a `ColDefs` can be instantiated.', ' This includes an existing `BinTableHDU` or `TableHDU`, or a', ' `numpy.recarray` to give some examples.', '', ' If these columns have data arrays attached that data may be used in', ' initializing the new table. Otherwise the input columns will be', ' used as a template for a new table with the requested number of', ' rows.', '', ' **header** : `Header`', '', ' An optional `Header` object to instantiate the new HDU yet. Header', ' keywords specifically related to defining the table structure (such', ' as the "TXXXn" keywords like TTYPEn) will be overridden by the', ' supplied column definitions, but all other informational and data', ' model-specific keywords are kept.', '', ' **nrows** : int', '', ' Number of rows in the new table. If the input columns have data', ' associated with them, the size of the largest input column is used.', ' Otherwise the default is 0.', '', ' **fill** : bool', '', ' If `True`, will fill all cells with zeros or blanks. If `False`,', ' copy the data from input, undefined cells will still be filled with', ' zeros/blanks.', '', '.. rubric:: Notes', '', "Any additional keyword arguments accepted by the HDU class's", '``__init__`` may also be passed in as keyword arguments.']:41: WARNING: py:obj reference target not found: True ['CompImageHDU.from_columns(columns, header=None, nrows=0, fill=False, **kwargs)', ':module: astropy.io.fits', '', 'Given either a `ColDefs` object, a sequence of `Column` objects,', 'or another table HDU or table data (a `FITS_rec` or multi-field', '`numpy.ndarray` or `numpy.recarray` object, return a new table HDU of', 'the class this method was called on using the column definition from', 'the input.', '', 'See also `FITS_rec.from_columns`.', '', ':Parameters:', '', ' **columns** : sequence of `Column`, `ColDefs`, or other', '', ' The columns from which to create the table data, or an object with', ' a column-like structure from which a `ColDefs` can be instantiated.', ' This includes an existing `BinTableHDU` or `TableHDU`, or a', ' `numpy.recarray` to give some examples.', '', ' If these columns have data arrays attached that data may be used in', ' initializing the new table. Otherwise the input columns will be', ' used as a template for a new table with the requested number of', ' rows.', '', ' **header** : `Header`', '', ' An optional `Header` object to instantiate the new HDU yet. Header', ' keywords specifically related to defining the table structure (such', ' as the "TXXXn" keywords like TTYPEn) will be overridden by the', ' supplied column definitions, but all other informational and data', ' model-specific keywords are kept.', '', ' **nrows** : int', '', ' Number of rows in the new table. If the input columns have data', ' associated with them, the size of the largest input column is used.', ' Otherwise the default is 0.', '', ' **fill** : bool', '', ' If `True`, will fill all cells with zeros or blanks. If `False`,', ' copy the data from input, undefined cells will still be filled with', ' zeros/blanks.', '', '.. rubric:: Notes', '', "Any additional keyword arguments accepted by the HDU class's", '``__init__`` may also be passed in as keyword arguments.']:41: WARNING: py:obj reference target not found: False ['CompImageHDU.fromstring(data, checksum=False, ignore_missing_end=False, **kwargs)', ':module: astropy.io.fits', '', 'Creates a new HDU object of the appropriate type from a string', "containing the HDU's entire header and, optionally, its data.", '', 'Note: When creating a new HDU from a string without a backing file', 'object, the data of that HDU may be read-only. It depends on whether', 'the underlying string was an immutable Python str/bytes object, or some', 'kind of read-write memory buffer such as a `memoryview`.', '', ':Parameters:', '', ' **data** : str, bytearray, memoryview, ndarray', '', " A byte string containing the HDU's header and data.", '', ' **checksum** : bool, optional', '', " Check the HDU's checksum and/or datasum.", '', ' **ignore_missing_end** : bool, optional', '', ' Ignore a missing end card in the header data. Note that without the', ' end card the end of the header may be ambiguous and resulted in a', ' corrupt HDU. In this case the assumption is that the first 2880', ' block that does not begin with valid FITS header data is the', ' beginning of the data.', '', ' **kwargs** : optional', '', ' May consist of additional keyword arguments specific to an HDU', ' type--these correspond to keywords recognized by the constructors of', ' different HDU classes such as `PrimaryHDU`, `ImageHDU`, or', ' `BinTableHDU`. Any unrecognized keyword arguments are simply', ' ignored.']:6: WARNING: py:obj reference target not found: memoryview ['CompImageHDU.load(datafile, cdfile=None, hfile=None, replace=False, header=None)', ':module: astropy.io.fits', '', 'Create a table from the input ASCII files. The input is from up to', 'three separate files, one containing column definitions, one containing', 'header parameters, and one containing column data.', '', 'The column definition and header parameters files are not required.', 'When absent the column definitions and/or header parameters are taken', 'from the header object given in the header argument; otherwise sensible', 'defaults are inferred (though this mode is not recommended).', '', ':Parameters:', '', ' **datafile** : file path, file object or file-like object', '', ' Input data file containing the table data in ASCII format.', '', ' **cdfile** : file path, file object, file-like object, optional', '', ' Input column definition file containing the names,', ' formats, display formats, physical units, multidimensional', ' array dimensions, undefined values, scale factors, and', ' offsets associated with the columns in the table. If', ' `None`, the column definitions are taken from the current', ' values in this object.', '', ' **hfile** : file path, file object, file-like object, optional', '', ' Input parameter definition file containing the header', ' parameter definitions to be associated with the table. If', ' `None`, the header parameter definitions are taken from', ' the current values in this objects header.', '', ' **replace** : bool', '', ' When `True`, indicates that the entire header should be', ' replaced with the contents of the ASCII file instead of', ' just updating the current header.', '', ' **header** : Header object', '', ' When the cdfile and hfile are missing, use this Header object in', ' the creation of the new table and HDU. Otherwise this Header', ' supercedes the keywords from hfile, which is only used to update', ' values not present in this Header, unless ``replace=True`` in which', " this Header's values are completely replaced with the values from", ' hfile.', '', '.. rubric:: Notes', '', 'The primary use for the `load` method is to allow the input of ASCII', 'data that was edited in a standard text editor of the table data and', 'parameters. The `dump` method can be used to create the initial ASCII', 'files.', '', '- **datafile:** Each line of the data file represents one row of table', ' data. The data is output one column at a time in column order. If', ' a column contains an array, each element of the column array in the', ' current row is output before moving on to the next column. Each row', ' ends with a new line.', '', ' Integer data is output right-justified in a 21-character field', ' followed by a blank. Floating point data is output right justified', " using 'g' format in a 21-character field with 15 digits of", ' precision, followed by a blank. String data that does not contain', ' whitespace is output left-justified in a field whose width matches', ' the width specified in the ``TFORM`` header parameter for the', ' column, followed by a blank. When the string data contains', ' whitespace characters, the string is enclosed in quotation marks', ' (``""``). For the last data element in a row, the trailing blank in', ' the field is replaced by a new line character.', '', " For column data containing variable length arrays ('P' format), the", " array data is preceded by the string ``'VLA_Length= '`` and the", ' integer length of the array for that row, left-justified in a', ' 21-character field, followed by a blank.', '', ' .. note::', '', ' This format does *not* support variable length arrays using the', " ('Q' format) due to difficult to overcome ambiguities. What this", ' means is that this file format cannot support VLA columns in', ' tables stored in files that are over 2 GB in size.', '', " For column data representing a bit field ('X' format), each bit", ' value in the field is output right-justified in a 21-character field', ' as 1 (for true) or 0 (for false).', '', '- **cdfile:** Each line of the column definitions file provides the', ' definitions for one column in the table. The line is broken up into', ' 8, sixteen-character fields. The first field provides the column', ' name (``TTYPEn``). The second field provides the column format', ' (``TFORMn``). The third field provides the display format', ' (``TDISPn``). The fourth field provides the physical units', ' (``TUNITn``). The fifth field provides the dimensions for a', ' multidimensional array (``TDIMn``). The sixth field provides the', ' value that signifies an undefined value (``TNULLn``). The seventh', ' field provides the scale factor (``TSCALn``). The eighth field', ' provides the offset value (``TZEROn``). A field value of ``""`` is', ' used to represent the case where no value is provided.', '', '- **hfile:** Each line of the header parameters file provides the', ' definition of a single HDU header card as represented by the card', ' image.']:20: WARNING: py:obj reference target not found: None ['CompImageHDU.load(datafile, cdfile=None, hfile=None, replace=False, header=None)', ':module: astropy.io.fits', '', 'Create a table from the input ASCII files. The input is from up to', 'three separate files, one containing column definitions, one containing', 'header parameters, and one containing column data.', '', 'The column definition and header parameters files are not required.', 'When absent the column definitions and/or header parameters are taken', 'from the header object given in the header argument; otherwise sensible', 'defaults are inferred (though this mode is not recommended).', '', ':Parameters:', '', ' **datafile** : file path, file object or file-like object', '', ' Input data file containing the table data in ASCII format.', '', ' **cdfile** : file path, file object, file-like object, optional', '', ' Input column definition file containing the names,', ' formats, display formats, physical units, multidimensional', ' array dimensions, undefined values, scale factors, and', ' offsets associated with the columns in the table. If', ' `None`, the column definitions are taken from the current', ' values in this object.', '', ' **hfile** : file path, file object, file-like object, optional', '', ' Input parameter definition file containing the header', ' parameter definitions to be associated with the table. If', ' `None`, the header parameter definitions are taken from', ' the current values in this objects header.', '', ' **replace** : bool', '', ' When `True`, indicates that the entire header should be', ' replaced with the contents of the ASCII file instead of', ' just updating the current header.', '', ' **header** : Header object', '', ' When the cdfile and hfile are missing, use this Header object in', ' the creation of the new table and HDU. Otherwise this Header', ' supercedes the keywords from hfile, which is only used to update', ' values not present in this Header, unless ``replace=True`` in which', " this Header's values are completely replaced with the values from", ' hfile.', '', '.. rubric:: Notes', '', 'The primary use for the `load` method is to allow the input of ASCII', 'data that was edited in a standard text editor of the table data and', 'parameters. The `dump` method can be used to create the initial ASCII', 'files.', '', '- **datafile:** Each line of the data file represents one row of table', ' data. The data is output one column at a time in column order. If', ' a column contains an array, each element of the column array in the', ' current row is output before moving on to the next column. Each row', ' ends with a new line.', '', ' Integer data is output right-justified in a 21-character field', ' followed by a blank. Floating point data is output right justified', " using 'g' format in a 21-character field with 15 digits of", ' precision, followed by a blank. String data that does not contain', ' whitespace is output left-justified in a field whose width matches', ' the width specified in the ``TFORM`` header parameter for the', ' column, followed by a blank. When the string data contains', ' whitespace characters, the string is enclosed in quotation marks', ' (``""``). For the last data element in a row, the trailing blank in', ' the field is replaced by a new line character.', '', " For column data containing variable length arrays ('P' format), the", " array data is preceded by the string ``'VLA_Length= '`` and the", ' integer length of the array for that row, left-justified in a', ' 21-character field, followed by a blank.', '', ' .. note::', '', ' This format does *not* support variable length arrays using the', " ('Q' format) due to difficult to overcome ambiguities. What this", ' means is that this file format cannot support VLA columns in', ' tables stored in files that are over 2 GB in size.', '', " For column data representing a bit field ('X' format), each bit", ' value in the field is output right-justified in a 21-character field', ' as 1 (for true) or 0 (for false).', '', '- **cdfile:** Each line of the column definitions file provides the', ' definitions for one column in the table. The line is broken up into', ' 8, sixteen-character fields. The first field provides the column', ' name (``TTYPEn``). The second field provides the column format', ' (``TFORMn``). The third field provides the display format', ' (``TDISPn``). The fourth field provides the physical units', ' (``TUNITn``). The fifth field provides the dimensions for a', ' multidimensional array (``TDIMn``). The sixth field provides the', ' value that signifies an undefined value (``TNULLn``). The seventh', ' field provides the scale factor (``TSCALn``). The eighth field', ' provides the offset value (``TZEROn``). A field value of ``""`` is', ' used to represent the case where no value is provided.', '', '- **hfile:** Each line of the header parameters file provides the', ' definition of a single HDU header card as represented by the card', ' image.']:29: WARNING: py:obj reference target not found: None ['CompImageHDU.load(datafile, cdfile=None, hfile=None, replace=False, header=None)', ':module: astropy.io.fits', '', 'Create a table from the input ASCII files. The input is from up to', 'three separate files, one containing column definitions, one containing', 'header parameters, and one containing column data.', '', 'The column definition and header parameters files are not required.', 'When absent the column definitions and/or header parameters are taken', 'from the header object given in the header argument; otherwise sensible', 'defaults are inferred (though this mode is not recommended).', '', ':Parameters:', '', ' **datafile** : file path, file object or file-like object', '', ' Input data file containing the table data in ASCII format.', '', ' **cdfile** : file path, file object, file-like object, optional', '', ' Input column definition file containing the names,', ' formats, display formats, physical units, multidimensional', ' array dimensions, undefined values, scale factors, and', ' offsets associated with the columns in the table. If', ' `None`, the column definitions are taken from the current', ' values in this object.', '', ' **hfile** : file path, file object, file-like object, optional', '', ' Input parameter definition file containing the header', ' parameter definitions to be associated with the table. If', ' `None`, the header parameter definitions are taken from', ' the current values in this objects header.', '', ' **replace** : bool', '', ' When `True`, indicates that the entire header should be', ' replaced with the contents of the ASCII file instead of', ' just updating the current header.', '', ' **header** : Header object', '', ' When the cdfile and hfile are missing, use this Header object in', ' the creation of the new table and HDU. Otherwise this Header', ' supercedes the keywords from hfile, which is only used to update', ' values not present in this Header, unless ``replace=True`` in which', " this Header's values are completely replaced with the values from", ' hfile.', '', '.. rubric:: Notes', '', 'The primary use for the `load` method is to allow the input of ASCII', 'data that was edited in a standard text editor of the table data and', 'parameters. The `dump` method can be used to create the initial ASCII', 'files.', '', '- **datafile:** Each line of the data file represents one row of table', ' data. The data is output one column at a time in column order. If', ' a column contains an array, each element of the column array in the', ' current row is output before moving on to the next column. Each row', ' ends with a new line.', '', ' Integer data is output right-justified in a 21-character field', ' followed by a blank. Floating point data is output right justified', " using 'g' format in a 21-character field with 15 digits of", ' precision, followed by a blank. String data that does not contain', ' whitespace is output left-justified in a field whose width matches', ' the width specified in the ``TFORM`` header parameter for the', ' column, followed by a blank. When the string data contains', ' whitespace characters, the string is enclosed in quotation marks', ' (``""``). For the last data element in a row, the trailing blank in', ' the field is replaced by a new line character.', '', " For column data containing variable length arrays ('P' format), the", " array data is preceded by the string ``'VLA_Length= '`` and the", ' integer length of the array for that row, left-justified in a', ' 21-character field, followed by a blank.', '', ' .. note::', '', ' This format does *not* support variable length arrays using the', " ('Q' format) due to difficult to overcome ambiguities. What this", ' means is that this file format cannot support VLA columns in', ' tables stored in files that are over 2 GB in size.', '', " For column data representing a bit field ('X' format), each bit", ' value in the field is output right-justified in a 21-character field', ' as 1 (for true) or 0 (for false).', '', '- **cdfile:** Each line of the column definitions file provides the', ' definitions for one column in the table. The line is broken up into', ' 8, sixteen-character fields. The first field provides the column', ' name (``TTYPEn``). The second field provides the column format', ' (``TFORMn``). The third field provides the display format', ' (``TDISPn``). The fourth field provides the physical units', ' (``TUNITn``). The fifth field provides the dimensions for a', ' multidimensional array (``TDIMn``). The sixth field provides the', ' value that signifies an undefined value (``TNULLn``). The seventh', ' field provides the scale factor (``TSCALn``). The eighth field', ' provides the offset value (``TZEROn``). A field value of ``""`` is', ' used to represent the case where no value is provided.', '', '- **hfile:** Each line of the header parameters file provides the', ' definition of a single HDU header card as represented by the card', ' image.']:36: WARNING: py:obj reference target not found: True ['CompImageHDU.readfrom(fileobj, checksum=False, ignore_missing_end=False, **kwargs)', ':module: astropy.io.fits', '', 'Read the HDU from a file. Normally an HDU should be opened with', ':func:`open` which reads the entire HDU list in a FITS file. But this', 'method is still provided for symmetry with :func:`writeto`.', '', ':Parameters:', '', ' **fileobj** : file object or file-like object', '', " Input FITS file. The file's seek pointer is assumed to be at the", ' beginning of the HDU.', '', ' **checksum** : bool', '', ' If `True`, verifies that both ``DATASUM`` and ``CHECKSUM`` card', ' values (when present in the HDU header) match the header and data', " of all HDU's in the file.", '', ' **ignore_missing_end** : bool', '', ' Do not issue an exception when opening a file that is missing an', ' ``END`` card in the last header.']:16: WARNING: py:obj reference target not found: True ['CompImageHDU.req_cards(keyword, pos, test, fix_value, option, errlist)', ':module: astropy.io.fits', '', 'Check the existence, location, and value of a required `Card`.', '', ':Parameters:', '', ' **keyword** : str', '', ' The keyword to validate', '', ' **pos** : int, callable', '', ' If an ``int``, this specifies the exact location this card should', ' have in the header. Remember that Python is zero-indexed, so this', ' means ``pos=0`` requires the card to be the first card in the', ' header. If given a callable, it should take one argument--the', ' actual position of the keyword--and return `True` or `False`. This', ' can be used for custom evaluation. For example if', " ``pos=lambda idx: idx > 10`` this will check that the keyword's", ' index is greater than 10.', '', ' **test** : callable', '', ' This should be a callable (generally a function) that is passed the', ' value of the given keyword and returns `True` or `False`. This can', ' be used to validate the value associated with the given keyword.', '', ' **fix_value** : str, int, float, complex, bool, None', '', ' A valid value for a FITS keyword to to use if the given ``test``', ' fails to replace an invalid value. In other words, this provides', " a default value to use as a replacement if the keyword's current", ' value is invalid. If `None`, there is no replacement value and the', ' keyword is unfixable.', '', ' **option** : str', '', ' Output verification option. Must be one of ``"fix"``,', ' ``"silentfix"``, ``"ignore"``, ``"warn"``, or', ' ``"exception"``. May also be any combination of ``"fix"`` or', ' ``"silentfix"`` with ``"+ignore"``, ``+warn``, or ``+exception"', ' (e.g. ``"fix+warn"``). See :ref:`verify` for more info.', '', ' **errlist** : list', '', ' A list of validation errors already found in the FITS file; this is', ' used primarily for the validation system to collect errors across', ' multiple HDUs and multiple calls to `req_cards`.', '', '.. rubric:: Notes', '', 'If ``pos=None``, the card can be anywhere in the header. If the card', 'does not exist, the new card will have the ``fix_value`` as its value', "when created. Also check the card's value by using the ``test``", 'argument.']:13: WARNING: py:obj reference target not found: True ['CompImageHDU.req_cards(keyword, pos, test, fix_value, option, errlist)', ':module: astropy.io.fits', '', 'Check the existence, location, and value of a required `Card`.', '', ':Parameters:', '', ' **keyword** : str', '', ' The keyword to validate', '', ' **pos** : int, callable', '', ' If an ``int``, this specifies the exact location this card should', ' have in the header. Remember that Python is zero-indexed, so this', ' means ``pos=0`` requires the card to be the first card in the', ' header. If given a callable, it should take one argument--the', ' actual position of the keyword--and return `True` or `False`. This', ' can be used for custom evaluation. For example if', " ``pos=lambda idx: idx > 10`` this will check that the keyword's", ' index is greater than 10.', '', ' **test** : callable', '', ' This should be a callable (generally a function) that is passed the', ' value of the given keyword and returns `True` or `False`. This can', ' be used to validate the value associated with the given keyword.', '', ' **fix_value** : str, int, float, complex, bool, None', '', ' A valid value for a FITS keyword to to use if the given ``test``', ' fails to replace an invalid value. In other words, this provides', " a default value to use as a replacement if the keyword's current", ' value is invalid. If `None`, there is no replacement value and the', ' keyword is unfixable.', '', ' **option** : str', '', ' Output verification option. Must be one of ``"fix"``,', ' ``"silentfix"``, ``"ignore"``, ``"warn"``, or', ' ``"exception"``. May also be any combination of ``"fix"`` or', ' ``"silentfix"`` with ``"+ignore"``, ``+warn``, or ``+exception"', ' (e.g. ``"fix+warn"``). See :ref:`verify` for more info.', '', ' **errlist** : list', '', ' A list of validation errors already found in the FITS file; this is', ' used primarily for the validation system to collect errors across', ' multiple HDUs and multiple calls to `req_cards`.', '', '.. rubric:: Notes', '', 'If ``pos=None``, the card can be anywhere in the header. If the card', 'does not exist, the new card will have the ``fix_value`` as its value', "when created. Also check the card's value by using the ``test``", 'argument.']:13: WARNING: py:obj reference target not found: False ['CompImageHDU.req_cards(keyword, pos, test, fix_value, option, errlist)', ':module: astropy.io.fits', '', 'Check the existence, location, and value of a required `Card`.', '', ':Parameters:', '', ' **keyword** : str', '', ' The keyword to validate', '', ' **pos** : int, callable', '', ' If an ``int``, this specifies the exact location this card should', ' have in the header. Remember that Python is zero-indexed, so this', ' means ``pos=0`` requires the card to be the first card in the', ' header. If given a callable, it should take one argument--the', ' actual position of the keyword--and return `True` or `False`. This', ' can be used for custom evaluation. For example if', " ``pos=lambda idx: idx > 10`` this will check that the keyword's", ' index is greater than 10.', '', ' **test** : callable', '', ' This should be a callable (generally a function) that is passed the', ' value of the given keyword and returns `True` or `False`. This can', ' be used to validate the value associated with the given keyword.', '', ' **fix_value** : str, int, float, complex, bool, None', '', ' A valid value for a FITS keyword to to use if the given ``test``', ' fails to replace an invalid value. In other words, this provides', " a default value to use as a replacement if the keyword's current", ' value is invalid. If `None`, there is no replacement value and the', ' keyword is unfixable.', '', ' **option** : str', '', ' Output verification option. Must be one of ``"fix"``,', ' ``"silentfix"``, ``"ignore"``, ``"warn"``, or', ' ``"exception"``. May also be any combination of ``"fix"`` or', ' ``"silentfix"`` with ``"+ignore"``, ``+warn``, or ``+exception"', ' (e.g. ``"fix+warn"``). See :ref:`verify` for more info.', '', ' **errlist** : list', '', ' A list of validation errors already found in the FITS file; this is', ' used primarily for the validation system to collect errors across', ' multiple HDUs and multiple calls to `req_cards`.', '', '.. rubric:: Notes', '', 'If ``pos=None``, the card can be anywhere in the header. If the card', 'does not exist, the new card will have the ``fix_value`` as its value', "when created. Also check the card's value by using the ``test``", 'argument.']:24: WARNING: py:obj reference target not found: True ['CompImageHDU.req_cards(keyword, pos, test, fix_value, option, errlist)', ':module: astropy.io.fits', '', 'Check the existence, location, and value of a required `Card`.', '', ':Parameters:', '', ' **keyword** : str', '', ' The keyword to validate', '', ' **pos** : int, callable', '', ' If an ``int``, this specifies the exact location this card should', ' have in the header. Remember that Python is zero-indexed, so this', ' means ``pos=0`` requires the card to be the first card in the', ' header. If given a callable, it should take one argument--the', ' actual position of the keyword--and return `True` or `False`. This', ' can be used for custom evaluation. For example if', " ``pos=lambda idx: idx > 10`` this will check that the keyword's", ' index is greater than 10.', '', ' **test** : callable', '', ' This should be a callable (generally a function) that is passed the', ' value of the given keyword and returns `True` or `False`. This can', ' be used to validate the value associated with the given keyword.', '', ' **fix_value** : str, int, float, complex, bool, None', '', ' A valid value for a FITS keyword to to use if the given ``test``', ' fails to replace an invalid value. In other words, this provides', " a default value to use as a replacement if the keyword's current", ' value is invalid. If `None`, there is no replacement value and the', ' keyword is unfixable.', '', ' **option** : str', '', ' Output verification option. Must be one of ``"fix"``,', ' ``"silentfix"``, ``"ignore"``, ``"warn"``, or', ' ``"exception"``. May also be any combination of ``"fix"`` or', ' ``"silentfix"`` with ``"+ignore"``, ``+warn``, or ``+exception"', ' (e.g. ``"fix+warn"``). See :ref:`verify` for more info.', '', ' **errlist** : list', '', ' A list of validation errors already found in the FITS file; this is', ' used primarily for the validation system to collect errors across', ' multiple HDUs and multiple calls to `req_cards`.', '', '.. rubric:: Notes', '', 'If ``pos=None``, the card can be anywhere in the header. If the card', 'does not exist, the new card will have the ``fix_value`` as its value', "when created. Also check the card's value by using the ``test``", 'argument.']:24: WARNING: py:obj reference target not found: False ['CompImageHDU.req_cards(keyword, pos, test, fix_value, option, errlist)', ':module: astropy.io.fits', '', 'Check the existence, location, and value of a required `Card`.', '', ':Parameters:', '', ' **keyword** : str', '', ' The keyword to validate', '', ' **pos** : int, callable', '', ' If an ``int``, this specifies the exact location this card should', ' have in the header. Remember that Python is zero-indexed, so this', ' means ``pos=0`` requires the card to be the first card in the', ' header. If given a callable, it should take one argument--the', ' actual position of the keyword--and return `True` or `False`. This', ' can be used for custom evaluation. For example if', " ``pos=lambda idx: idx > 10`` this will check that the keyword's", ' index is greater than 10.', '', ' **test** : callable', '', ' This should be a callable (generally a function) that is passed the', ' value of the given keyword and returns `True` or `False`. This can', ' be used to validate the value associated with the given keyword.', '', ' **fix_value** : str, int, float, complex, bool, None', '', ' A valid value for a FITS keyword to to use if the given ``test``', ' fails to replace an invalid value. In other words, this provides', " a default value to use as a replacement if the keyword's current", ' value is invalid. If `None`, there is no replacement value and the', ' keyword is unfixable.', '', ' **option** : str', '', ' Output verification option. Must be one of ``"fix"``,', ' ``"silentfix"``, ``"ignore"``, ``"warn"``, or', ' ``"exception"``. May also be any combination of ``"fix"`` or', ' ``"silentfix"`` with ``"+ignore"``, ``+warn``, or ``+exception"', ' (e.g. ``"fix+warn"``). See :ref:`verify` for more info.', '', ' **errlist** : list', '', ' A list of validation errors already found in the FITS file; this is', ' used primarily for the validation system to collect errors across', ' multiple HDUs and multiple calls to `req_cards`.', '', '.. rubric:: Notes', '', 'If ``pos=None``, the card can be anywhere in the header. If the card', 'does not exist, the new card will have the ``fix_value`` as its value', "when created. Also check the card's value by using the ``test``", 'argument.']:30: WARNING: py:obj reference target not found: None ["CompImageHDU.scale(type=None, option='old', bscale=1, bzero=0)", ':module: astropy.io.fits', '', 'Scale image data by using ``BSCALE`` and ``BZERO``.', '', 'Calling this method will scale ``self.data`` and update the keywords of', '``BSCALE`` and ``BZERO`` in ``self._header`` and ``self._image_header``.', 'This method should only be used right before writing to the output', 'file, as the data will be scaled and is therefore not very usable after', 'the call.', '', ':Parameters:', '', ' **type** : str, optional', '', ' destination data type, use a string representing a numpy dtype', " name, (e.g. ``'uint8'``, ``'int16'``, ``'float32'`` etc.). If is", ' `None`, use the current data type.', '', ' **option** : str, optional', '', ' how to scale the data: if ``"old"``, use the original ``BSCALE``', ' and ``BZERO`` values when the data was read/created. If', ' ``"minmax"``, use the minimum and maximum of the data to scale.', ' The option will be overwritten by any user-specified bscale/bzero', ' values.', '', ' **bscale, bzero** : int, optional', '', ' user specified ``BSCALE`` and ``BZERO`` values.']:15: WARNING: py:obj reference target not found: None /<>/docs/io/fits/api/images.rst:7: WARNING: py:class reference target not found: object /<>/docs/io/fits/api/tables.rst:27: WARNING: py:obj reference target not found: True ["BinTableHDU.add_checksum(when=None, override_datasum=False, blocking='standard', checksum_keyword='CHECKSUM', datasum_keyword='DATASUM')", ':module: astropy.io.fits', '', 'Add the ``CHECKSUM`` and ``DATASUM`` cards to this HDU with', 'the values set to the checksum calculated for the HDU and the', 'data respectively. The addition of the ``DATASUM`` card may', 'be overridden.', '', ':Parameters:', '', ' **when** : str, optional', '', ' comment string for the cards; by default the comments', ' will represent the time when the checksum was calculated', '', ' **override_datasum** : bool, optional', '', ' add the ``CHECKSUM`` card only', '', ' **blocking** : str, optional', '', ' "standard" or "nonstandard", compute sum 2880 bytes at a time, or', ' not', '', ' **checksum_keyword** : str, optional', '', ' The name of the header keyword to store the checksum value in; this', " is typically 'CHECKSUM' per convention, but there exist use cases", ' in which a different keyword should be used', '', ' **datasum_keyword** : str, optional', '', ' See ``checksum_keyword``', '', '.. rubric:: Notes', '', 'For testing purposes, first call `add_datasum` with a ``when``', 'argument, then call `add_checksum` with a ``when`` argument and', '``override_datasum`` set to `True`. This will provide consistent', 'comments for both cards and enable the generation of a ``CHECKSUM``', 'card with a consistent value.']:36: WARNING: py:obj reference target not found: True ['BinTableHDU.dump(datafile=None, cdfile=None, hfile=None, overwrite=False)', ':module: astropy.io.fits', '', 'Dump the table HDU to a file in ASCII format. The table may be dumped', 'in three separate files, one containing column definitions, one', 'containing header parameters, and one for table data.', '', ':Parameters:', '', ' **datafile** : file path, file object or file-like object, optional', '', ' Output data file. The default is the root name of the', ' fits file associated with this HDU appended with the', ' extension ``.txt``.', '', ' **cdfile** : file path, file object or file-like object, optional', '', ' Output column definitions file. The default is `None`, no', ' column definitions output is produced.', '', ' **hfile** : file path, file object or file-like object, optional', '', ' Output header parameters file. The default is `None`,', ' no header parameters output is produced.', '', ' **overwrite** : bool, optional', '', ' If ``True``, overwrite the output file if it exists. Raises an', ' ``OSError`` (``IOError`` for Python 2) if ``False`` and the', ' output file exists. Default is ``False``.', '', ' .. versionchanged:: 1.3', ' ``overwrite`` replaces the deprecated ``clobber`` argument.', '', '.. rubric:: Notes', '', 'The primary use for the `dump` method is to allow viewing and editing', 'the table data and parameters in a standard text editor.', 'The `load` method can be used to create a new table from the three', 'plain text (ASCII) files.', '', '- **datafile:** Each line of the data file represents one row of table', ' data. The data is output one column at a time in column order. If', ' a column contains an array, each element of the column array in the', ' current row is output before moving on to the next column. Each row', ' ends with a new line.', '', ' Integer data is output right-justified in a 21-character field', ' followed by a blank. Floating point data is output right justified', " using 'g' format in a 21-character field with 15 digits of", ' precision, followed by a blank. String data that does not contain', ' whitespace is output left-justified in a field whose width matches', ' the width specified in the ``TFORM`` header parameter for the', ' column, followed by a blank. When the string data contains', ' whitespace characters, the string is enclosed in quotation marks', ' (``""``). For the last data element in a row, the trailing blank in', ' the field is replaced by a new line character.', '', " For column data containing variable length arrays ('P' format), the", " array data is preceded by the string ``'VLA_Length= '`` and the", ' integer length of the array for that row, left-justified in a', ' 21-character field, followed by a blank.', '', ' .. note::', '', ' This format does *not* support variable length arrays using the', " ('Q' format) due to difficult to overcome ambiguities. What this", ' means is that this file format cannot support VLA columns in', ' tables stored in files that are over 2 GB in size.', '', " For column data representing a bit field ('X' format), each bit", ' value in the field is output right-justified in a 21-character field', ' as 1 (for true) or 0 (for false).', '', '- **cdfile:** Each line of the column definitions file provides the', ' definitions for one column in the table. The line is broken up into', ' 8, sixteen-character fields. The first field provides the column', ' name (``TTYPEn``). The second field provides the column format', ' (``TFORMn``). The third field provides the display format', ' (``TDISPn``). The fourth field provides the physical units', ' (``TUNITn``). The fifth field provides the dimensions for a', ' multidimensional array (``TDIMn``). The sixth field provides the', ' value that signifies an undefined value (``TNULLn``). The seventh', ' field provides the scale factor (``TSCALn``). The eighth field', ' provides the offset value (``TZEROn``). A field value of ``""`` is', ' used to represent the case where no value is provided.', '', '- **hfile:** Each line of the header parameters file provides the', ' definition of a single HDU header card as represented by the card', ' image.']:17: WARNING: py:obj reference target not found: None ['BinTableHDU.dump(datafile=None, cdfile=None, hfile=None, overwrite=False)', ':module: astropy.io.fits', '', 'Dump the table HDU to a file in ASCII format. The table may be dumped', 'in three separate files, one containing column definitions, one', 'containing header parameters, and one for table data.', '', ':Parameters:', '', ' **datafile** : file path, file object or file-like object, optional', '', ' Output data file. The default is the root name of the', ' fits file associated with this HDU appended with the', ' extension ``.txt``.', '', ' **cdfile** : file path, file object or file-like object, optional', '', ' Output column definitions file. The default is `None`, no', ' column definitions output is produced.', '', ' **hfile** : file path, file object or file-like object, optional', '', ' Output header parameters file. The default is `None`,', ' no header parameters output is produced.', '', ' **overwrite** : bool, optional', '', ' If ``True``, overwrite the output file if it exists. Raises an', ' ``OSError`` (``IOError`` for Python 2) if ``False`` and the', ' output file exists. Default is ``False``.', '', ' .. versionchanged:: 1.3', ' ``overwrite`` replaces the deprecated ``clobber`` argument.', '', '.. rubric:: Notes', '', 'The primary use for the `dump` method is to allow viewing and editing', 'the table data and parameters in a standard text editor.', 'The `load` method can be used to create a new table from the three', 'plain text (ASCII) files.', '', '- **datafile:** Each line of the data file represents one row of table', ' data. The data is output one column at a time in column order. If', ' a column contains an array, each element of the column array in the', ' current row is output before moving on to the next column. Each row', ' ends with a new line.', '', ' Integer data is output right-justified in a 21-character field', ' followed by a blank. Floating point data is output right justified', " using 'g' format in a 21-character field with 15 digits of", ' precision, followed by a blank. String data that does not contain', ' whitespace is output left-justified in a field whose width matches', ' the width specified in the ``TFORM`` header parameter for the', ' column, followed by a blank. When the string data contains', ' whitespace characters, the string is enclosed in quotation marks', ' (``""``). For the last data element in a row, the trailing blank in', ' the field is replaced by a new line character.', '', " For column data containing variable length arrays ('P' format), the", " array data is preceded by the string ``'VLA_Length= '`` and the", ' integer length of the array for that row, left-justified in a', ' 21-character field, followed by a blank.', '', ' .. note::', '', ' This format does *not* support variable length arrays using the', " ('Q' format) due to difficult to overcome ambiguities. What this", ' means is that this file format cannot support VLA columns in', ' tables stored in files that are over 2 GB in size.', '', " For column data representing a bit field ('X' format), each bit", ' value in the field is output right-justified in a 21-character field', ' as 1 (for true) or 0 (for false).', '', '- **cdfile:** Each line of the column definitions file provides the', ' definitions for one column in the table. The line is broken up into', ' 8, sixteen-character fields. The first field provides the column', ' name (``TTYPEn``). The second field provides the column format', ' (``TFORMn``). The third field provides the display format', ' (``TDISPn``). The fourth field provides the physical units', ' (``TUNITn``). The fifth field provides the dimensions for a', ' multidimensional array (``TDIMn``). The sixth field provides the', ' value that signifies an undefined value (``TNULLn``). The seventh', ' field provides the scale factor (``TSCALn``). The eighth field', ' provides the offset value (``TZEROn``). A field value of ``""`` is', ' used to represent the case where no value is provided.', '', '- **hfile:** Each line of the header parameters file provides the', ' definition of a single HDU header card as represented by the card', ' image.']:22: WARNING: py:obj reference target not found: None ['BinTableHDU.fileinfo()', ':module: astropy.io.fits', '', 'Returns a dictionary detailing information about the locations', 'of this HDU within any associated file. The values are only', 'valid after a read or write of the associated file with no', 'intervening changes to the `HDUList`.', '', ':Returns:', '', ' dict or None', '', ' The dictionary details information about the locations of', ' this HDU within an associated file. Returns `None` when', ' the HDU is not associated with a file.', '', ' Dictionary contents:', '', ' ========== ================================================', ' Key Value', ' ========== ================================================', ' file File object associated with the HDU', ' filemode Mode in which the file was opened (readonly, copyonwrite,', ' update, append, ostream)', ' hdrLoc Starting byte location of header in file', ' datLoc Starting byte location of data block in file', ' datSpan Data size including padding', ' ========== ================================================']:12: WARNING: py:obj reference target not found: None ['BinTableHDU.from_columns(columns, header=None, nrows=0, fill=False, **kwargs)', ':module: astropy.io.fits', '', 'Given either a `ColDefs` object, a sequence of `Column` objects,', 'or another table HDU or table data (a `FITS_rec` or multi-field', '`numpy.ndarray` or `numpy.recarray` object, return a new table HDU of', 'the class this method was called on using the column definition from', 'the input.', '', 'See also `FITS_rec.from_columns`.', '', ':Parameters:', '', ' **columns** : sequence of `Column`, `ColDefs`, or other', '', ' The columns from which to create the table data, or an object with', ' a column-like structure from which a `ColDefs` can be instantiated.', ' This includes an existing `BinTableHDU` or `TableHDU`, or a', ' `numpy.recarray` to give some examples.', '', ' If these columns have data arrays attached that data may be used in', ' initializing the new table. Otherwise the input columns will be', ' used as a template for a new table with the requested number of', ' rows.', '', ' **header** : `Header`', '', ' An optional `Header` object to instantiate the new HDU yet. Header', ' keywords specifically related to defining the table structure (such', ' as the "TXXXn" keywords like TTYPEn) will be overridden by the', ' supplied column definitions, but all other informational and data', ' model-specific keywords are kept.', '', ' **nrows** : int', '', ' Number of rows in the new table. If the input columns have data', ' associated with them, the size of the largest input column is used.', ' Otherwise the default is 0.', '', ' **fill** : bool', '', ' If `True`, will fill all cells with zeros or blanks. If `False`,', ' copy the data from input, undefined cells will still be filled with', ' zeros/blanks.', '', '.. rubric:: Notes', '', "Any additional keyword arguments accepted by the HDU class's", '``__init__`` may also be passed in as keyword arguments.']:3: WARNING: py:obj reference target not found: numpy.ndarray ['BinTableHDU.from_columns(columns, header=None, nrows=0, fill=False, **kwargs)', ':module: astropy.io.fits', '', 'Given either a `ColDefs` object, a sequence of `Column` objects,', 'or another table HDU or table data (a `FITS_rec` or multi-field', '`numpy.ndarray` or `numpy.recarray` object, return a new table HDU of', 'the class this method was called on using the column definition from', 'the input.', '', 'See also `FITS_rec.from_columns`.', '', ':Parameters:', '', ' **columns** : sequence of `Column`, `ColDefs`, or other', '', ' The columns from which to create the table data, or an object with', ' a column-like structure from which a `ColDefs` can be instantiated.', ' This includes an existing `BinTableHDU` or `TableHDU`, or a', ' `numpy.recarray` to give some examples.', '', ' If these columns have data arrays attached that data may be used in', ' initializing the new table. Otherwise the input columns will be', ' used as a template for a new table with the requested number of', ' rows.', '', ' **header** : `Header`', '', ' An optional `Header` object to instantiate the new HDU yet. Header', ' keywords specifically related to defining the table structure (such', ' as the "TXXXn" keywords like TTYPEn) will be overridden by the', ' supplied column definitions, but all other informational and data', ' model-specific keywords are kept.', '', ' **nrows** : int', '', ' Number of rows in the new table. If the input columns have data', ' associated with them, the size of the largest input column is used.', ' Otherwise the default is 0.', '', ' **fill** : bool', '', ' If `True`, will fill all cells with zeros or blanks. If `False`,', ' copy the data from input, undefined cells will still be filled with', ' zeros/blanks.', '', '.. rubric:: Notes', '', "Any additional keyword arguments accepted by the HDU class's", '``__init__`` may also be passed in as keyword arguments.']:3: WARNING: py:obj reference target not found: numpy.recarray ['BinTableHDU.from_columns(columns, header=None, nrows=0, fill=False, **kwargs)', ':module: astropy.io.fits', '', 'Given either a `ColDefs` object, a sequence of `Column` objects,', 'or another table HDU or table data (a `FITS_rec` or multi-field', '`numpy.ndarray` or `numpy.recarray` object, return a new table HDU of', 'the class this method was called on using the column definition from', 'the input.', '', 'See also `FITS_rec.from_columns`.', '', ':Parameters:', '', ' **columns** : sequence of `Column`, `ColDefs`, or other', '', ' The columns from which to create the table data, or an object with', ' a column-like structure from which a `ColDefs` can be instantiated.', ' This includes an existing `BinTableHDU` or `TableHDU`, or a', ' `numpy.recarray` to give some examples.', '', ' If these columns have data arrays attached that data may be used in', ' initializing the new table. Otherwise the input columns will be', ' used as a template for a new table with the requested number of', ' rows.', '', ' **header** : `Header`', '', ' An optional `Header` object to instantiate the new HDU yet. Header', ' keywords specifically related to defining the table structure (such', ' as the "TXXXn" keywords like TTYPEn) will be overridden by the', ' supplied column definitions, but all other informational and data', ' model-specific keywords are kept.', '', ' **nrows** : int', '', ' Number of rows in the new table. If the input columns have data', ' associated with them, the size of the largest input column is used.', ' Otherwise the default is 0.', '', ' **fill** : bool', '', ' If `True`, will fill all cells with zeros or blanks. If `False`,', ' copy the data from input, undefined cells will still be filled with', ' zeros/blanks.', '', '.. rubric:: Notes', '', "Any additional keyword arguments accepted by the HDU class's", '``__init__`` may also be passed in as keyword arguments.']:15: WARNING: py:obj reference target not found: numpy.recarray ['BinTableHDU.from_columns(columns, header=None, nrows=0, fill=False, **kwargs)', ':module: astropy.io.fits', '', 'Given either a `ColDefs` object, a sequence of `Column` objects,', 'or another table HDU or table data (a `FITS_rec` or multi-field', '`numpy.ndarray` or `numpy.recarray` object, return a new table HDU of', 'the class this method was called on using the column definition from', 'the input.', '', 'See also `FITS_rec.from_columns`.', '', ':Parameters:', '', ' **columns** : sequence of `Column`, `ColDefs`, or other', '', ' The columns from which to create the table data, or an object with', ' a column-like structure from which a `ColDefs` can be instantiated.', ' This includes an existing `BinTableHDU` or `TableHDU`, or a', ' `numpy.recarray` to give some examples.', '', ' If these columns have data arrays attached that data may be used in', ' initializing the new table. Otherwise the input columns will be', ' used as a template for a new table with the requested number of', ' rows.', '', ' **header** : `Header`', '', ' An optional `Header` object to instantiate the new HDU yet. Header', ' keywords specifically related to defining the table structure (such', ' as the "TXXXn" keywords like TTYPEn) will be overridden by the', ' supplied column definitions, but all other informational and data', ' model-specific keywords are kept.', '', ' **nrows** : int', '', ' Number of rows in the new table. If the input columns have data', ' associated with them, the size of the largest input column is used.', ' Otherwise the default is 0.', '', ' **fill** : bool', '', ' If `True`, will fill all cells with zeros or blanks. If `False`,', ' copy the data from input, undefined cells will still be filled with', ' zeros/blanks.', '', '.. rubric:: Notes', '', "Any additional keyword arguments accepted by the HDU class's", '``__init__`` may also be passed in as keyword arguments.']:41: WARNING: py:obj reference target not found: True ['BinTableHDU.from_columns(columns, header=None, nrows=0, fill=False, **kwargs)', ':module: astropy.io.fits', '', 'Given either a `ColDefs` object, a sequence of `Column` objects,', 'or another table HDU or table data (a `FITS_rec` or multi-field', '`numpy.ndarray` or `numpy.recarray` object, return a new table HDU of', 'the class this method was called on using the column definition from', 'the input.', '', 'See also `FITS_rec.from_columns`.', '', ':Parameters:', '', ' **columns** : sequence of `Column`, `ColDefs`, or other', '', ' The columns from which to create the table data, or an object with', ' a column-like structure from which a `ColDefs` can be instantiated.', ' This includes an existing `BinTableHDU` or `TableHDU`, or a', ' `numpy.recarray` to give some examples.', '', ' If these columns have data arrays attached that data may be used in', ' initializing the new table. Otherwise the input columns will be', ' used as a template for a new table with the requested number of', ' rows.', '', ' **header** : `Header`', '', ' An optional `Header` object to instantiate the new HDU yet. Header', ' keywords specifically related to defining the table structure (such', ' as the "TXXXn" keywords like TTYPEn) will be overridden by the', ' supplied column definitions, but all other informational and data', ' model-specific keywords are kept.', '', ' **nrows** : int', '', ' Number of rows in the new table. If the input columns have data', ' associated with them, the size of the largest input column is used.', ' Otherwise the default is 0.', '', ' **fill** : bool', '', ' If `True`, will fill all cells with zeros or blanks. If `False`,', ' copy the data from input, undefined cells will still be filled with', ' zeros/blanks.', '', '.. rubric:: Notes', '', "Any additional keyword arguments accepted by the HDU class's", '``__init__`` may also be passed in as keyword arguments.']:41: WARNING: py:obj reference target not found: False ['BinTableHDU.fromstring(data, checksum=False, ignore_missing_end=False, **kwargs)', ':module: astropy.io.fits', '', 'Creates a new HDU object of the appropriate type from a string', "containing the HDU's entire header and, optionally, its data.", '', 'Note: When creating a new HDU from a string without a backing file', 'object, the data of that HDU may be read-only. It depends on whether', 'the underlying string was an immutable Python str/bytes object, or some', 'kind of read-write memory buffer such as a `memoryview`.', '', ':Parameters:', '', ' **data** : str, bytearray, memoryview, ndarray', '', " A byte string containing the HDU's header and data.", '', ' **checksum** : bool, optional', '', " Check the HDU's checksum and/or datasum.", '', ' **ignore_missing_end** : bool, optional', '', ' Ignore a missing end card in the header data. Note that without the', ' end card the end of the header may be ambiguous and resulted in a', ' corrupt HDU. In this case the assumption is that the first 2880', ' block that does not begin with valid FITS header data is the', ' beginning of the data.', '', ' **kwargs** : optional', '', ' May consist of additional keyword arguments specific to an HDU', ' type--these correspond to keywords recognized by the constructors of', ' different HDU classes such as `PrimaryHDU`, `ImageHDU`, or', ' `BinTableHDU`. Any unrecognized keyword arguments are simply', ' ignored.']:6: WARNING: py:obj reference target not found: memoryview ['BinTableHDU.load(datafile, cdfile=None, hfile=None, replace=False, header=None)', ':module: astropy.io.fits', '', 'Create a table from the input ASCII files. The input is from up to', 'three separate files, one containing column definitions, one containing', 'header parameters, and one containing column data.', '', 'The column definition and header parameters files are not required.', 'When absent the column definitions and/or header parameters are taken', 'from the header object given in the header argument; otherwise sensible', 'defaults are inferred (though this mode is not recommended).', '', ':Parameters:', '', ' **datafile** : file path, file object or file-like object', '', ' Input data file containing the table data in ASCII format.', '', ' **cdfile** : file path, file object, file-like object, optional', '', ' Input column definition file containing the names,', ' formats, display formats, physical units, multidimensional', ' array dimensions, undefined values, scale factors, and', ' offsets associated with the columns in the table. If', ' `None`, the column definitions are taken from the current', ' values in this object.', '', ' **hfile** : file path, file object, file-like object, optional', '', ' Input parameter definition file containing the header', ' parameter definitions to be associated with the table. If', ' `None`, the header parameter definitions are taken from', ' the current values in this objects header.', '', ' **replace** : bool', '', ' When `True`, indicates that the entire header should be', ' replaced with the contents of the ASCII file instead of', ' just updating the current header.', '', ' **header** : Header object', '', ' When the cdfile and hfile are missing, use this Header object in', ' the creation of the new table and HDU. Otherwise this Header', ' supercedes the keywords from hfile, which is only used to update', ' values not present in this Header, unless ``replace=True`` in which', " this Header's values are completely replaced with the values from", ' hfile.', '', '.. rubric:: Notes', '', 'The primary use for the `load` method is to allow the input of ASCII', 'data that was edited in a standard text editor of the table data and', 'parameters. The `dump` method can be used to create the initial ASCII', 'files.', '', '- **datafile:** Each line of the data file represents one row of table', ' data. The data is output one column at a time in column order. If', ' a column contains an array, each element of the column array in the', ' current row is output before moving on to the next column. Each row', ' ends with a new line.', '', ' Integer data is output right-justified in a 21-character field', ' followed by a blank. Floating point data is output right justified', " using 'g' format in a 21-character field with 15 digits of", ' precision, followed by a blank. String data that does not contain', ' whitespace is output left-justified in a field whose width matches', ' the width specified in the ``TFORM`` header parameter for the', ' column, followed by a blank. When the string data contains', ' whitespace characters, the string is enclosed in quotation marks', ' (``""``). For the last data element in a row, the trailing blank in', ' the field is replaced by a new line character.', '', " For column data containing variable length arrays ('P' format), the", " array data is preceded by the string ``'VLA_Length= '`` and the", ' integer length of the array for that row, left-justified in a', ' 21-character field, followed by a blank.', '', ' .. note::', '', ' This format does *not* support variable length arrays using the', " ('Q' format) due to difficult to overcome ambiguities. What this", ' means is that this file format cannot support VLA columns in', ' tables stored in files that are over 2 GB in size.', '', " For column data representing a bit field ('X' format), each bit", ' value in the field is output right-justified in a 21-character field', ' as 1 (for true) or 0 (for false).', '', '- **cdfile:** Each line of the column definitions file provides the', ' definitions for one column in the table. The line is broken up into', ' 8, sixteen-character fields. The first field provides the column', ' name (``TTYPEn``). The second field provides the column format', ' (``TFORMn``). The third field provides the display format', ' (``TDISPn``). The fourth field provides the physical units', ' (``TUNITn``). The fifth field provides the dimensions for a', ' multidimensional array (``TDIMn``). The sixth field provides the', ' value that signifies an undefined value (``TNULLn``). The seventh', ' field provides the scale factor (``TSCALn``). The eighth field', ' provides the offset value (``TZEROn``). A field value of ``""`` is', ' used to represent the case where no value is provided.', '', '- **hfile:** Each line of the header parameters file provides the', ' definition of a single HDU header card as represented by the card', ' image.']:20: WARNING: py:obj reference target not found: None ['BinTableHDU.load(datafile, cdfile=None, hfile=None, replace=False, header=None)', ':module: astropy.io.fits', '', 'Create a table from the input ASCII files. The input is from up to', 'three separate files, one containing column definitions, one containing', 'header parameters, and one containing column data.', '', 'The column definition and header parameters files are not required.', 'When absent the column definitions and/or header parameters are taken', 'from the header object given in the header argument; otherwise sensible', 'defaults are inferred (though this mode is not recommended).', '', ':Parameters:', '', ' **datafile** : file path, file object or file-like object', '', ' Input data file containing the table data in ASCII format.', '', ' **cdfile** : file path, file object, file-like object, optional', '', ' Input column definition file containing the names,', ' formats, display formats, physical units, multidimensional', ' array dimensions, undefined values, scale factors, and', ' offsets associated with the columns in the table. If', ' `None`, the column definitions are taken from the current', ' values in this object.', '', ' **hfile** : file path, file object, file-like object, optional', '', ' Input parameter definition file containing the header', ' parameter definitions to be associated with the table. If', ' `None`, the header parameter definitions are taken from', ' the current values in this objects header.', '', ' **replace** : bool', '', ' When `True`, indicates that the entire header should be', ' replaced with the contents of the ASCII file instead of', ' just updating the current header.', '', ' **header** : Header object', '', ' When the cdfile and hfile are missing, use this Header object in', ' the creation of the new table and HDU. Otherwise this Header', ' supercedes the keywords from hfile, which is only used to update', ' values not present in this Header, unless ``replace=True`` in which', " this Header's values are completely replaced with the values from", ' hfile.', '', '.. rubric:: Notes', '', 'The primary use for the `load` method is to allow the input of ASCII', 'data that was edited in a standard text editor of the table data and', 'parameters. The `dump` method can be used to create the initial ASCII', 'files.', '', '- **datafile:** Each line of the data file represents one row of table', ' data. The data is output one column at a time in column order. If', ' a column contains an array, each element of the column array in the', ' current row is output before moving on to the next column. Each row', ' ends with a new line.', '', ' Integer data is output right-justified in a 21-character field', ' followed by a blank. Floating point data is output right justified', " using 'g' format in a 21-character field with 15 digits of", ' precision, followed by a blank. String data that does not contain', ' whitespace is output left-justified in a field whose width matches', ' the width specified in the ``TFORM`` header parameter for the', ' column, followed by a blank. When the string data contains', ' whitespace characters, the string is enclosed in quotation marks', ' (``""``). For the last data element in a row, the trailing blank in', ' the field is replaced by a new line character.', '', " For column data containing variable length arrays ('P' format), the", " array data is preceded by the string ``'VLA_Length= '`` and the", ' integer length of the array for that row, left-justified in a', ' 21-character field, followed by a blank.', '', ' .. note::', '', ' This format does *not* support variable length arrays using the', " ('Q' format) due to difficult to overcome ambiguities. What this", ' means is that this file format cannot support VLA columns in', ' tables stored in files that are over 2 GB in size.', '', " For column data representing a bit field ('X' format), each bit", ' value in the field is output right-justified in a 21-character field', ' as 1 (for true) or 0 (for false).', '', '- **cdfile:** Each line of the column definitions file provides the', ' definitions for one column in the table. The line is broken up into', ' 8, sixteen-character fields. The first field provides the column', ' name (``TTYPEn``). The second field provides the column format', ' (``TFORMn``). The third field provides the display format', ' (``TDISPn``). The fourth field provides the physical units', ' (``TUNITn``). The fifth field provides the dimensions for a', ' multidimensional array (``TDIMn``). The sixth field provides the', ' value that signifies an undefined value (``TNULLn``). The seventh', ' field provides the scale factor (``TSCALn``). The eighth field', ' provides the offset value (``TZEROn``). A field value of ``""`` is', ' used to represent the case where no value is provided.', '', '- **hfile:** Each line of the header parameters file provides the', ' definition of a single HDU header card as represented by the card', ' image.']:29: WARNING: py:obj reference target not found: None ['BinTableHDU.load(datafile, cdfile=None, hfile=None, replace=False, header=None)', ':module: astropy.io.fits', '', 'Create a table from the input ASCII files. The input is from up to', 'three separate files, one containing column definitions, one containing', 'header parameters, and one containing column data.', '', 'The column definition and header parameters files are not required.', 'When absent the column definitions and/or header parameters are taken', 'from the header object given in the header argument; otherwise sensible', 'defaults are inferred (though this mode is not recommended).', '', ':Parameters:', '', ' **datafile** : file path, file object or file-like object', '', ' Input data file containing the table data in ASCII format.', '', ' **cdfile** : file path, file object, file-like object, optional', '', ' Input column definition file containing the names,', ' formats, display formats, physical units, multidimensional', ' array dimensions, undefined values, scale factors, and', ' offsets associated with the columns in the table. If', ' `None`, the column definitions are taken from the current', ' values in this object.', '', ' **hfile** : file path, file object, file-like object, optional', '', ' Input parameter definition file containing the header', ' parameter definitions to be associated with the table. If', ' `None`, the header parameter definitions are taken from', ' the current values in this objects header.', '', ' **replace** : bool', '', ' When `True`, indicates that the entire header should be', ' replaced with the contents of the ASCII file instead of', ' just updating the current header.', '', ' **header** : Header object', '', ' When the cdfile and hfile are missing, use this Header object in', ' the creation of the new table and HDU. Otherwise this Header', ' supercedes the keywords from hfile, which is only used to update', ' values not present in this Header, unless ``replace=True`` in which', " this Header's values are completely replaced with the values from", ' hfile.', '', '.. rubric:: Notes', '', 'The primary use for the `load` method is to allow the input of ASCII', 'data that was edited in a standard text editor of the table data and', 'parameters. The `dump` method can be used to create the initial ASCII', 'files.', '', '- **datafile:** Each line of the data file represents one row of table', ' data. The data is output one column at a time in column order. If', ' a column contains an array, each element of the column array in the', ' current row is output before moving on to the next column. Each row', ' ends with a new line.', '', ' Integer data is output right-justified in a 21-character field', ' followed by a blank. Floating point data is output right justified', " using 'g' format in a 21-character field with 15 digits of", ' precision, followed by a blank. String data that does not contain', ' whitespace is output left-justified in a field whose width matches', ' the width specified in the ``TFORM`` header parameter for the', ' column, followed by a blank. When the string data contains', ' whitespace characters, the string is enclosed in quotation marks', ' (``""``). For the last data element in a row, the trailing blank in', ' the field is replaced by a new line character.', '', " For column data containing variable length arrays ('P' format), the", " array data is preceded by the string ``'VLA_Length= '`` and the", ' integer length of the array for that row, left-justified in a', ' 21-character field, followed by a blank.', '', ' .. note::', '', ' This format does *not* support variable length arrays using the', " ('Q' format) due to difficult to overcome ambiguities. What this", ' means is that this file format cannot support VLA columns in', ' tables stored in files that are over 2 GB in size.', '', " For column data representing a bit field ('X' format), each bit", ' value in the field is output right-justified in a 21-character field', ' as 1 (for true) or 0 (for false).', '', '- **cdfile:** Each line of the column definitions file provides the', ' definitions for one column in the table. The line is broken up into', ' 8, sixteen-character fields. The first field provides the column', ' name (``TTYPEn``). The second field provides the column format', ' (``TFORMn``). The third field provides the display format', ' (``TDISPn``). The fourth field provides the physical units', ' (``TUNITn``). The fifth field provides the dimensions for a', ' multidimensional array (``TDIMn``). The sixth field provides the', ' value that signifies an undefined value (``TNULLn``). The seventh', ' field provides the scale factor (``TSCALn``). The eighth field', ' provides the offset value (``TZEROn``). A field value of ``""`` is', ' used to represent the case where no value is provided.', '', '- **hfile:** Each line of the header parameters file provides the', ' definition of a single HDU header card as represented by the card', ' image.']:36: WARNING: py:obj reference target not found: True ['BinTableHDU.readfrom(fileobj, checksum=False, ignore_missing_end=False, **kwargs)', ':module: astropy.io.fits', '', 'Read the HDU from a file. Normally an HDU should be opened with', ':func:`open` which reads the entire HDU list in a FITS file. But this', 'method is still provided for symmetry with :func:`writeto`.', '', ':Parameters:', '', ' **fileobj** : file object or file-like object', '', " Input FITS file. The file's seek pointer is assumed to be at the", ' beginning of the HDU.', '', ' **checksum** : bool', '', ' If `True`, verifies that both ``DATASUM`` and ``CHECKSUM`` card', ' values (when present in the HDU header) match the header and data', " of all HDU's in the file.", '', ' **ignore_missing_end** : bool', '', ' Do not issue an exception when opening a file that is missing an', ' ``END`` card in the last header.']:16: WARNING: py:obj reference target not found: True ['BinTableHDU.req_cards(keyword, pos, test, fix_value, option, errlist)', ':module: astropy.io.fits', '', 'Check the existence, location, and value of a required `Card`.', '', ':Parameters:', '', ' **keyword** : str', '', ' The keyword to validate', '', ' **pos** : int, callable', '', ' If an ``int``, this specifies the exact location this card should', ' have in the header. Remember that Python is zero-indexed, so this', ' means ``pos=0`` requires the card to be the first card in the', ' header. If given a callable, it should take one argument--the', ' actual position of the keyword--and return `True` or `False`. This', ' can be used for custom evaluation. For example if', " ``pos=lambda idx: idx > 10`` this will check that the keyword's", ' index is greater than 10.', '', ' **test** : callable', '', ' This should be a callable (generally a function) that is passed the', ' value of the given keyword and returns `True` or `False`. This can', ' be used to validate the value associated with the given keyword.', '', ' **fix_value** : str, int, float, complex, bool, None', '', ' A valid value for a FITS keyword to to use if the given ``test``', ' fails to replace an invalid value. In other words, this provides', " a default value to use as a replacement if the keyword's current", ' value is invalid. If `None`, there is no replacement value and the', ' keyword is unfixable.', '', ' **option** : str', '', ' Output verification option. Must be one of ``"fix"``,', ' ``"silentfix"``, ``"ignore"``, ``"warn"``, or', ' ``"exception"``. May also be any combination of ``"fix"`` or', ' ``"silentfix"`` with ``"+ignore"``, ``+warn``, or ``+exception"', ' (e.g. ``"fix+warn"``). See :ref:`verify` for more info.', '', ' **errlist** : list', '', ' A list of validation errors already found in the FITS file; this is', ' used primarily for the validation system to collect errors across', ' multiple HDUs and multiple calls to `req_cards`.', '', '.. rubric:: Notes', '', 'If ``pos=None``, the card can be anywhere in the header. If the card', 'does not exist, the new card will have the ``fix_value`` as its value', "when created. Also check the card's value by using the ``test``", 'argument.']:13: WARNING: py:obj reference target not found: True ['BinTableHDU.req_cards(keyword, pos, test, fix_value, option, errlist)', ':module: astropy.io.fits', '', 'Check the existence, location, and value of a required `Card`.', '', ':Parameters:', '', ' **keyword** : str', '', ' The keyword to validate', '', ' **pos** : int, callable', '', ' If an ``int``, this specifies the exact location this card should', ' have in the header. Remember that Python is zero-indexed, so this', ' means ``pos=0`` requires the card to be the first card in the', ' header. If given a callable, it should take one argument--the', ' actual position of the keyword--and return `True` or `False`. This', ' can be used for custom evaluation. For example if', " ``pos=lambda idx: idx > 10`` this will check that the keyword's", ' index is greater than 10.', '', ' **test** : callable', '', ' This should be a callable (generally a function) that is passed the', ' value of the given keyword and returns `True` or `False`. This can', ' be used to validate the value associated with the given keyword.', '', ' **fix_value** : str, int, float, complex, bool, None', '', ' A valid value for a FITS keyword to to use if the given ``test``', ' fails to replace an invalid value. In other words, this provides', " a default value to use as a replacement if the keyword's current", ' value is invalid. If `None`, there is no replacement value and the', ' keyword is unfixable.', '', ' **option** : str', '', ' Output verification option. Must be one of ``"fix"``,', ' ``"silentfix"``, ``"ignore"``, ``"warn"``, or', ' ``"exception"``. May also be any combination of ``"fix"`` or', ' ``"silentfix"`` with ``"+ignore"``, ``+warn``, or ``+exception"', ' (e.g. ``"fix+warn"``). See :ref:`verify` for more info.', '', ' **errlist** : list', '', ' A list of validation errors already found in the FITS file; this is', ' used primarily for the validation system to collect errors across', ' multiple HDUs and multiple calls to `req_cards`.', '', '.. rubric:: Notes', '', 'If ``pos=None``, the card can be anywhere in the header. If the card', 'does not exist, the new card will have the ``fix_value`` as its value', "when created. Also check the card's value by using the ``test``", 'argument.']:13: WARNING: py:obj reference target not found: False ['BinTableHDU.req_cards(keyword, pos, test, fix_value, option, errlist)', ':module: astropy.io.fits', '', 'Check the existence, location, and value of a required `Card`.', '', ':Parameters:', '', ' **keyword** : str', '', ' The keyword to validate', '', ' **pos** : int, callable', '', ' If an ``int``, this specifies the exact location this card should', ' have in the header. Remember that Python is zero-indexed, so this', ' means ``pos=0`` requires the card to be the first card in the', ' header. If given a callable, it should take one argument--the', ' actual position of the keyword--and return `True` or `False`. This', ' can be used for custom evaluation. For example if', " ``pos=lambda idx: idx > 10`` this will check that the keyword's", ' index is greater than 10.', '', ' **test** : callable', '', ' This should be a callable (generally a function) that is passed the', ' value of the given keyword and returns `True` or `False`. This can', ' be used to validate the value associated with the given keyword.', '', ' **fix_value** : str, int, float, complex, bool, None', '', ' A valid value for a FITS keyword to to use if the given ``test``', ' fails to replace an invalid value. In other words, this provides', " a default value to use as a replacement if the keyword's current", ' value is invalid. If `None`, there is no replacement value and the', ' keyword is unfixable.', '', ' **option** : str', '', ' Output verification option. Must be one of ``"fix"``,', ' ``"silentfix"``, ``"ignore"``, ``"warn"``, or', ' ``"exception"``. May also be any combination of ``"fix"`` or', ' ``"silentfix"`` with ``"+ignore"``, ``+warn``, or ``+exception"', ' (e.g. ``"fix+warn"``). See :ref:`verify` for more info.', '', ' **errlist** : list', '', ' A list of validation errors already found in the FITS file; this is', ' used primarily for the validation system to collect errors across', ' multiple HDUs and multiple calls to `req_cards`.', '', '.. rubric:: Notes', '', 'If ``pos=None``, the card can be anywhere in the header. If the card', 'does not exist, the new card will have the ``fix_value`` as its value', "when created. Also check the card's value by using the ``test``", 'argument.']:24: WARNING: py:obj reference target not found: True ['BinTableHDU.req_cards(keyword, pos, test, fix_value, option, errlist)', ':module: astropy.io.fits', '', 'Check the existence, location, and value of a required `Card`.', '', ':Parameters:', '', ' **keyword** : str', '', ' The keyword to validate', '', ' **pos** : int, callable', '', ' If an ``int``, this specifies the exact location this card should', ' have in the header. Remember that Python is zero-indexed, so this', ' means ``pos=0`` requires the card to be the first card in the', ' header. If given a callable, it should take one argument--the', ' actual position of the keyword--and return `True` or `False`. This', ' can be used for custom evaluation. For example if', " ``pos=lambda idx: idx > 10`` this will check that the keyword's", ' index is greater than 10.', '', ' **test** : callable', '', ' This should be a callable (generally a function) that is passed the', ' value of the given keyword and returns `True` or `False`. This can', ' be used to validate the value associated with the given keyword.', '', ' **fix_value** : str, int, float, complex, bool, None', '', ' A valid value for a FITS keyword to to use if the given ``test``', ' fails to replace an invalid value. In other words, this provides', " a default value to use as a replacement if the keyword's current", ' value is invalid. If `None`, there is no replacement value and the', ' keyword is unfixable.', '', ' **option** : str', '', ' Output verification option. Must be one of ``"fix"``,', ' ``"silentfix"``, ``"ignore"``, ``"warn"``, or', ' ``"exception"``. May also be any combination of ``"fix"`` or', ' ``"silentfix"`` with ``"+ignore"``, ``+warn``, or ``+exception"', ' (e.g. ``"fix+warn"``). See :ref:`verify` for more info.', '', ' **errlist** : list', '', ' A list of validation errors already found in the FITS file; this is', ' used primarily for the validation system to collect errors across', ' multiple HDUs and multiple calls to `req_cards`.', '', '.. rubric:: Notes', '', 'If ``pos=None``, the card can be anywhere in the header. If the card', 'does not exist, the new card will have the ``fix_value`` as its value', "when created. Also check the card's value by using the ``test``", 'argument.']:24: WARNING: py:obj reference target not found: False ['BinTableHDU.req_cards(keyword, pos, test, fix_value, option, errlist)', ':module: astropy.io.fits', '', 'Check the existence, location, and value of a required `Card`.', '', ':Parameters:', '', ' **keyword** : str', '', ' The keyword to validate', '', ' **pos** : int, callable', '', ' If an ``int``, this specifies the exact location this card should', ' have in the header. Remember that Python is zero-indexed, so this', ' means ``pos=0`` requires the card to be the first card in the', ' header. If given a callable, it should take one argument--the', ' actual position of the keyword--and return `True` or `False`. This', ' can be used for custom evaluation. For example if', " ``pos=lambda idx: idx > 10`` this will check that the keyword's", ' index is greater than 10.', '', ' **test** : callable', '', ' This should be a callable (generally a function) that is passed the', ' value of the given keyword and returns `True` or `False`. This can', ' be used to validate the value associated with the given keyword.', '', ' **fix_value** : str, int, float, complex, bool, None', '', ' A valid value for a FITS keyword to to use if the given ``test``', ' fails to replace an invalid value. In other words, this provides', " a default value to use as a replacement if the keyword's current", ' value is invalid. If `None`, there is no replacement value and the', ' keyword is unfixable.', '', ' **option** : str', '', ' Output verification option. Must be one of ``"fix"``,', ' ``"silentfix"``, ``"ignore"``, ``"warn"``, or', ' ``"exception"``. May also be any combination of ``"fix"`` or', ' ``"silentfix"`` with ``"+ignore"``, ``+warn``, or ``+exception"', ' (e.g. ``"fix+warn"``). See :ref:`verify` for more info.', '', ' **errlist** : list', '', ' A list of validation errors already found in the FITS file; this is', ' used primarily for the validation system to collect errors across', ' multiple HDUs and multiple calls to `req_cards`.', '', '.. rubric:: Notes', '', 'If ``pos=None``, the card can be anywhere in the header. If the card', 'does not exist, the new card will have the ``fix_value`` as its value', "when created. Also check the card's value by using the ``test``", 'argument.']:30: WARNING: py:obj reference target not found: None /<>/docs/io/fits/api/tables.rst:74: WARNING: py:obj reference target not found: True ['TableHDU.fileinfo()', ':module: astropy.io.fits', '', 'Returns a dictionary detailing information about the locations', 'of this HDU within any associated file. The values are only', 'valid after a read or write of the associated file with no', 'intervening changes to the `HDUList`.', '', ':Returns:', '', ' dict or None', '', ' The dictionary details information about the locations of', ' this HDU within an associated file. Returns `None` when', ' the HDU is not associated with a file.', '', ' Dictionary contents:', '', ' ========== ================================================', ' Key Value', ' ========== ================================================', ' file File object associated with the HDU', ' filemode Mode in which the file was opened (readonly, copyonwrite,', ' update, append, ostream)', ' hdrLoc Starting byte location of header in file', ' datLoc Starting byte location of data block in file', ' datSpan Data size including padding', ' ========== ================================================']:12: WARNING: py:obj reference target not found: None ['TableHDU.from_columns(columns, header=None, nrows=0, fill=False, **kwargs)', ':module: astropy.io.fits', '', 'Given either a `ColDefs` object, a sequence of `Column` objects,', 'or another table HDU or table data (a `FITS_rec` or multi-field', '`numpy.ndarray` or `numpy.recarray` object, return a new table HDU of', 'the class this method was called on using the column definition from', 'the input.', '', 'See also `FITS_rec.from_columns`.', '', ':Parameters:', '', ' **columns** : sequence of `Column`, `ColDefs`, or other', '', ' The columns from which to create the table data, or an object with', ' a column-like structure from which a `ColDefs` can be instantiated.', ' This includes an existing `BinTableHDU` or `TableHDU`, or a', ' `numpy.recarray` to give some examples.', '', ' If these columns have data arrays attached that data may be used in', ' initializing the new table. Otherwise the input columns will be', ' used as a template for a new table with the requested number of', ' rows.', '', ' **header** : `Header`', '', ' An optional `Header` object to instantiate the new HDU yet. Header', ' keywords specifically related to defining the table structure (such', ' as the "TXXXn" keywords like TTYPEn) will be overridden by the', ' supplied column definitions, but all other informational and data', ' model-specific keywords are kept.', '', ' **nrows** : int', '', ' Number of rows in the new table. If the input columns have data', ' associated with them, the size of the largest input column is used.', ' Otherwise the default is 0.', '', ' **fill** : bool', '', ' If `True`, will fill all cells with zeros or blanks. If `False`,', ' copy the data from input, undefined cells will still be filled with', ' zeros/blanks.', '', '.. rubric:: Notes', '', "Any additional keyword arguments accepted by the HDU class's", '``__init__`` may also be passed in as keyword arguments.']:3: WARNING: py:obj reference target not found: numpy.ndarray ['TableHDU.from_columns(columns, header=None, nrows=0, fill=False, **kwargs)', ':module: astropy.io.fits', '', 'Given either a `ColDefs` object, a sequence of `Column` objects,', 'or another table HDU or table data (a `FITS_rec` or multi-field', '`numpy.ndarray` or `numpy.recarray` object, return a new table HDU of', 'the class this method was called on using the column definition from', 'the input.', '', 'See also `FITS_rec.from_columns`.', '', ':Parameters:', '', ' **columns** : sequence of `Column`, `ColDefs`, or other', '', ' The columns from which to create the table data, or an object with', ' a column-like structure from which a `ColDefs` can be instantiated.', ' This includes an existing `BinTableHDU` or `TableHDU`, or a', ' `numpy.recarray` to give some examples.', '', ' If these columns have data arrays attached that data may be used in', ' initializing the new table. Otherwise the input columns will be', ' used as a template for a new table with the requested number of', ' rows.', '', ' **header** : `Header`', '', ' An optional `Header` object to instantiate the new HDU yet. Header', ' keywords specifically related to defining the table structure (such', ' as the "TXXXn" keywords like TTYPEn) will be overridden by the', ' supplied column definitions, but all other informational and data', ' model-specific keywords are kept.', '', ' **nrows** : int', '', ' Number of rows in the new table. If the input columns have data', ' associated with them, the size of the largest input column is used.', ' Otherwise the default is 0.', '', ' **fill** : bool', '', ' If `True`, will fill all cells with zeros or blanks. If `False`,', ' copy the data from input, undefined cells will still be filled with', ' zeros/blanks.', '', '.. rubric:: Notes', '', "Any additional keyword arguments accepted by the HDU class's", '``__init__`` may also be passed in as keyword arguments.']:3: WARNING: py:obj reference target not found: numpy.recarray ['TableHDU.from_columns(columns, header=None, nrows=0, fill=False, **kwargs)', ':module: astropy.io.fits', '', 'Given either a `ColDefs` object, a sequence of `Column` objects,', 'or another table HDU or table data (a `FITS_rec` or multi-field', '`numpy.ndarray` or `numpy.recarray` object, return a new table HDU of', 'the class this method was called on using the column definition from', 'the input.', '', 'See also `FITS_rec.from_columns`.', '', ':Parameters:', '', ' **columns** : sequence of `Column`, `ColDefs`, or other', '', ' The columns from which to create the table data, or an object with', ' a column-like structure from which a `ColDefs` can be instantiated.', ' This includes an existing `BinTableHDU` or `TableHDU`, or a', ' `numpy.recarray` to give some examples.', '', ' If these columns have data arrays attached that data may be used in', ' initializing the new table. Otherwise the input columns will be', ' used as a template for a new table with the requested number of', ' rows.', '', ' **header** : `Header`', '', ' An optional `Header` object to instantiate the new HDU yet. Header', ' keywords specifically related to defining the table structure (such', ' as the "TXXXn" keywords like TTYPEn) will be overridden by the', ' supplied column definitions, but all other informational and data', ' model-specific keywords are kept.', '', ' **nrows** : int', '', ' Number of rows in the new table. If the input columns have data', ' associated with them, the size of the largest input column is used.', ' Otherwise the default is 0.', '', ' **fill** : bool', '', ' If `True`, will fill all cells with zeros or blanks. If `False`,', ' copy the data from input, undefined cells will still be filled with', ' zeros/blanks.', '', '.. rubric:: Notes', '', "Any additional keyword arguments accepted by the HDU class's", '``__init__`` may also be passed in as keyword arguments.']:15: WARNING: py:obj reference target not found: numpy.recarray ['TableHDU.from_columns(columns, header=None, nrows=0, fill=False, **kwargs)', ':module: astropy.io.fits', '', 'Given either a `ColDefs` object, a sequence of `Column` objects,', 'or another table HDU or table data (a `FITS_rec` or multi-field', '`numpy.ndarray` or `numpy.recarray` object, return a new table HDU of', 'the class this method was called on using the column definition from', 'the input.', '', 'See also `FITS_rec.from_columns`.', '', ':Parameters:', '', ' **columns** : sequence of `Column`, `ColDefs`, or other', '', ' The columns from which to create the table data, or an object with', ' a column-like structure from which a `ColDefs` can be instantiated.', ' This includes an existing `BinTableHDU` or `TableHDU`, or a', ' `numpy.recarray` to give some examples.', '', ' If these columns have data arrays attached that data may be used in', ' initializing the new table. Otherwise the input columns will be', ' used as a template for a new table with the requested number of', ' rows.', '', ' **header** : `Header`', '', ' An optional `Header` object to instantiate the new HDU yet. Header', ' keywords specifically related to defining the table structure (such', ' as the "TXXXn" keywords like TTYPEn) will be overridden by the', ' supplied column definitions, but all other informational and data', ' model-specific keywords are kept.', '', ' **nrows** : int', '', ' Number of rows in the new table. If the input columns have data', ' associated with them, the size of the largest input column is used.', ' Otherwise the default is 0.', '', ' **fill** : bool', '', ' If `True`, will fill all cells with zeros or blanks. If `False`,', ' copy the data from input, undefined cells will still be filled with', ' zeros/blanks.', '', '.. rubric:: Notes', '', "Any additional keyword arguments accepted by the HDU class's", '``__init__`` may also be passed in as keyword arguments.']:41: WARNING: py:obj reference target not found: True ['TableHDU.from_columns(columns, header=None, nrows=0, fill=False, **kwargs)', ':module: astropy.io.fits', '', 'Given either a `ColDefs` object, a sequence of `Column` objects,', 'or another table HDU or table data (a `FITS_rec` or multi-field', '`numpy.ndarray` or `numpy.recarray` object, return a new table HDU of', 'the class this method was called on using the column definition from', 'the input.', '', 'See also `FITS_rec.from_columns`.', '', ':Parameters:', '', ' **columns** : sequence of `Column`, `ColDefs`, or other', '', ' The columns from which to create the table data, or an object with', ' a column-like structure from which a `ColDefs` can be instantiated.', ' This includes an existing `BinTableHDU` or `TableHDU`, or a', ' `numpy.recarray` to give some examples.', '', ' If these columns have data arrays attached that data may be used in', ' initializing the new table. Otherwise the input columns will be', ' used as a template for a new table with the requested number of', ' rows.', '', ' **header** : `Header`', '', ' An optional `Header` object to instantiate the new HDU yet. Header', ' keywords specifically related to defining the table structure (such', ' as the "TXXXn" keywords like TTYPEn) will be overridden by the', ' supplied column definitions, but all other informational and data', ' model-specific keywords are kept.', '', ' **nrows** : int', '', ' Number of rows in the new table. If the input columns have data', ' associated with them, the size of the largest input column is used.', ' Otherwise the default is 0.', '', ' **fill** : bool', '', ' If `True`, will fill all cells with zeros or blanks. If `False`,', ' copy the data from input, undefined cells will still be filled with', ' zeros/blanks.', '', '.. rubric:: Notes', '', "Any additional keyword arguments accepted by the HDU class's", '``__init__`` may also be passed in as keyword arguments.']:41: WARNING: py:obj reference target not found: False ['TableHDU.fromstring(data, checksum=False, ignore_missing_end=False, **kwargs)', ':module: astropy.io.fits', '', 'Creates a new HDU object of the appropriate type from a string', "containing the HDU's entire header and, optionally, its data.", '', 'Note: When creating a new HDU from a string without a backing file', 'object, the data of that HDU may be read-only. It depends on whether', 'the underlying string was an immutable Python str/bytes object, or some', 'kind of read-write memory buffer such as a `memoryview`.', '', ':Parameters:', '', ' **data** : str, bytearray, memoryview, ndarray', '', " A byte string containing the HDU's header and data.", '', ' **checksum** : bool, optional', '', " Check the HDU's checksum and/or datasum.", '', ' **ignore_missing_end** : bool, optional', '', ' Ignore a missing end card in the header data. Note that without the', ' end card the end of the header may be ambiguous and resulted in a', ' corrupt HDU. In this case the assumption is that the first 2880', ' block that does not begin with valid FITS header data is the', ' beginning of the data.', '', ' **kwargs** : optional', '', ' May consist of additional keyword arguments specific to an HDU', ' type--these correspond to keywords recognized by the constructors of', ' different HDU classes such as `PrimaryHDU`, `ImageHDU`, or', ' `BinTableHDU`. Any unrecognized keyword arguments are simply', ' ignored.']:6: WARNING: py:obj reference target not found: memoryview ['TableHDU.readfrom(fileobj, checksum=False, ignore_missing_end=False, **kwargs)', ':module: astropy.io.fits', '', 'Read the HDU from a file. Normally an HDU should be opened with', ':func:`open` which reads the entire HDU list in a FITS file. But this', 'method is still provided for symmetry with :func:`writeto`.', '', ':Parameters:', '', ' **fileobj** : file object or file-like object', '', " Input FITS file. The file's seek pointer is assumed to be at the", ' beginning of the HDU.', '', ' **checksum** : bool', '', ' If `True`, verifies that both ``DATASUM`` and ``CHECKSUM`` card', ' values (when present in the HDU header) match the header and data', " of all HDU's in the file.", '', ' **ignore_missing_end** : bool', '', ' Do not issue an exception when opening a file that is missing an', ' ``END`` card in the last header.']:16: WARNING: py:obj reference target not found: True ['TableHDU.req_cards(keyword, pos, test, fix_value, option, errlist)', ':module: astropy.io.fits', '', 'Check the existence, location, and value of a required `Card`.', '', ':Parameters:', '', ' **keyword** : str', '', ' The keyword to validate', '', ' **pos** : int, callable', '', ' If an ``int``, this specifies the exact location this card should', ' have in the header. Remember that Python is zero-indexed, so this', ' means ``pos=0`` requires the card to be the first card in the', ' header. If given a callable, it should take one argument--the', ' actual position of the keyword--and return `True` or `False`. This', ' can be used for custom evaluation. For example if', " ``pos=lambda idx: idx > 10`` this will check that the keyword's", ' index is greater than 10.', '', ' **test** : callable', '', ' This should be a callable (generally a function) that is passed the', ' value of the given keyword and returns `True` or `False`. This can', ' be used to validate the value associated with the given keyword.', '', ' **fix_value** : str, int, float, complex, bool, None', '', ' A valid value for a FITS keyword to to use if the given ``test``', ' fails to replace an invalid value. In other words, this provides', " a default value to use as a replacement if the keyword's current", ' value is invalid. If `None`, there is no replacement value and the', ' keyword is unfixable.', '', ' **option** : str', '', ' Output verification option. Must be one of ``"fix"``,', ' ``"silentfix"``, ``"ignore"``, ``"warn"``, or', ' ``"exception"``. May also be any combination of ``"fix"`` or', ' ``"silentfix"`` with ``"+ignore"``, ``+warn``, or ``+exception"', ' (e.g. ``"fix+warn"``). See :ref:`verify` for more info.', '', ' **errlist** : list', '', ' A list of validation errors already found in the FITS file; this is', ' used primarily for the validation system to collect errors across', ' multiple HDUs and multiple calls to `req_cards`.', '', '.. rubric:: Notes', '', 'If ``pos=None``, the card can be anywhere in the header. If the card', 'does not exist, the new card will have the ``fix_value`` as its value', "when created. Also check the card's value by using the ``test``", 'argument.']:13: WARNING: py:obj reference target not found: True ['TableHDU.req_cards(keyword, pos, test, fix_value, option, errlist)', ':module: astropy.io.fits', '', 'Check the existence, location, and value of a required `Card`.', '', ':Parameters:', '', ' **keyword** : str', '', ' The keyword to validate', '', ' **pos** : int, callable', '', ' If an ``int``, this specifies the exact location this card should', ' have in the header. Remember that Python is zero-indexed, so this', ' means ``pos=0`` requires the card to be the first card in the', ' header. If given a callable, it should take one argument--the', ' actual position of the keyword--and return `True` or `False`. This', ' can be used for custom evaluation. For example if', " ``pos=lambda idx: idx > 10`` this will check that the keyword's", ' index is greater than 10.', '', ' **test** : callable', '', ' This should be a callable (generally a function) that is passed the', ' value of the given keyword and returns `True` or `False`. This can', ' be used to validate the value associated with the given keyword.', '', ' **fix_value** : str, int, float, complex, bool, None', '', ' A valid value for a FITS keyword to to use if the given ``test``', ' fails to replace an invalid value. In other words, this provides', " a default value to use as a replacement if the keyword's current", ' value is invalid. If `None`, there is no replacement value and the', ' keyword is unfixable.', '', ' **option** : str', '', ' Output verification option. Must be one of ``"fix"``,', ' ``"silentfix"``, ``"ignore"``, ``"warn"``, or', ' ``"exception"``. May also be any combination of ``"fix"`` or', ' ``"silentfix"`` with ``"+ignore"``, ``+warn``, or ``+exception"', ' (e.g. ``"fix+warn"``). See :ref:`verify` for more info.', '', ' **errlist** : list', '', ' A list of validation errors already found in the FITS file; this is', ' used primarily for the validation system to collect errors across', ' multiple HDUs and multiple calls to `req_cards`.', '', '.. rubric:: Notes', '', 'If ``pos=None``, the card can be anywhere in the header. If the card', 'does not exist, the new card will have the ``fix_value`` as its value', "when created. Also check the card's value by using the ``test``", 'argument.']:13: WARNING: py:obj reference target not found: False ['TableHDU.req_cards(keyword, pos, test, fix_value, option, errlist)', ':module: astropy.io.fits', '', 'Check the existence, location, and value of a required `Card`.', '', ':Parameters:', '', ' **keyword** : str', '', ' The keyword to validate', '', ' **pos** : int, callable', '', ' If an ``int``, this specifies the exact location this card should', ' have in the header. Remember that Python is zero-indexed, so this', ' means ``pos=0`` requires the card to be the first card in the', ' header. If given a callable, it should take one argument--the', ' actual position of the keyword--and return `True` or `False`. This', ' can be used for custom evaluation. For example if', " ``pos=lambda idx: idx > 10`` this will check that the keyword's", ' index is greater than 10.', '', ' **test** : callable', '', ' This should be a callable (generally a function) that is passed the', ' value of the given keyword and returns `True` or `False`. This can', ' be used to validate the value associated with the given keyword.', '', ' **fix_value** : str, int, float, complex, bool, None', '', ' A valid value for a FITS keyword to to use if the given ``test``', ' fails to replace an invalid value. In other words, this provides', " a default value to use as a replacement if the keyword's current", ' value is invalid. If `None`, there is no replacement value and the', ' keyword is unfixable.', '', ' **option** : str', '', ' Output verification option. Must be one of ``"fix"``,', ' ``"silentfix"``, ``"ignore"``, ``"warn"``, or', ' ``"exception"``. May also be any combination of ``"fix"`` or', ' ``"silentfix"`` with ``"+ignore"``, ``+warn``, or ``+exception"', ' (e.g. ``"fix+warn"``). See :ref:`verify` for more info.', '', ' **errlist** : list', '', ' A list of validation errors already found in the FITS file; this is', ' used primarily for the validation system to collect errors across', ' multiple HDUs and multiple calls to `req_cards`.', '', '.. rubric:: Notes', '', 'If ``pos=None``, the card can be anywhere in the header. If the card', 'does not exist, the new card will have the ``fix_value`` as its value', "when created. Also check the card's value by using the ``test``", 'argument.']:24: WARNING: py:obj reference target not found: True ['TableHDU.req_cards(keyword, pos, test, fix_value, option, errlist)', ':module: astropy.io.fits', '', 'Check the existence, location, and value of a required `Card`.', '', ':Parameters:', '', ' **keyword** : str', '', ' The keyword to validate', '', ' **pos** : int, callable', '', ' If an ``int``, this specifies the exact location this card should', ' have in the header. Remember that Python is zero-indexed, so this', ' means ``pos=0`` requires the card to be the first card in the', ' header. If given a callable, it should take one argument--the', ' actual position of the keyword--and return `True` or `False`. This', ' can be used for custom evaluation. For example if', " ``pos=lambda idx: idx > 10`` this will check that the keyword's", ' index is greater than 10.', '', ' **test** : callable', '', ' This should be a callable (generally a function) that is passed the', ' value of the given keyword and returns `True` or `False`. This can', ' be used to validate the value associated with the given keyword.', '', ' **fix_value** : str, int, float, complex, bool, None', '', ' A valid value for a FITS keyword to to use if the given ``test``', ' fails to replace an invalid value. In other words, this provides', " a default value to use as a replacement if the keyword's current", ' value is invalid. If `None`, there is no replacement value and the', ' keyword is unfixable.', '', ' **option** : str', '', ' Output verification option. Must be one of ``"fix"``,', ' ``"silentfix"``, ``"ignore"``, ``"warn"``, or', ' ``"exception"``. May also be any combination of ``"fix"`` or', ' ``"silentfix"`` with ``"+ignore"``, ``+warn``, or ``+exception"', ' (e.g. ``"fix+warn"``). See :ref:`verify` for more info.', '', ' **errlist** : list', '', ' A list of validation errors already found in the FITS file; this is', ' used primarily for the validation system to collect errors across', ' multiple HDUs and multiple calls to `req_cards`.', '', '.. rubric:: Notes', '', 'If ``pos=None``, the card can be anywhere in the header. If the card', 'does not exist, the new card will have the ``fix_value`` as its value', "when created. Also check the card's value by using the ``test``", 'argument.']:24: WARNING: py:obj reference target not found: False ['TableHDU.req_cards(keyword, pos, test, fix_value, option, errlist)', ':module: astropy.io.fits', '', 'Check the existence, location, and value of a required `Card`.', '', ':Parameters:', '', ' **keyword** : str', '', ' The keyword to validate', '', ' **pos** : int, callable', '', ' If an ``int``, this specifies the exact location this card should', ' have in the header. Remember that Python is zero-indexed, so this', ' means ``pos=0`` requires the card to be the first card in the', ' header. If given a callable, it should take one argument--the', ' actual position of the keyword--and return `True` or `False`. This', ' can be used for custom evaluation. For example if', " ``pos=lambda idx: idx > 10`` this will check that the keyword's", ' index is greater than 10.', '', ' **test** : callable', '', ' This should be a callable (generally a function) that is passed the', ' value of the given keyword and returns `True` or `False`. This can', ' be used to validate the value associated with the given keyword.', '', ' **fix_value** : str, int, float, complex, bool, None', '', ' A valid value for a FITS keyword to to use if the given ``test``', ' fails to replace an invalid value. In other words, this provides', " a default value to use as a replacement if the keyword's current", ' value is invalid. If `None`, there is no replacement value and the', ' keyword is unfixable.', '', ' **option** : str', '', ' Output verification option. Must be one of ``"fix"``,', ' ``"silentfix"``, ``"ignore"``, ``"warn"``, or', ' ``"exception"``. May also be any combination of ``"fix"`` or', ' ``"silentfix"`` with ``"+ignore"``, ``+warn``, or ``+exception"', ' (e.g. ``"fix+warn"``). See :ref:`verify` for more info.', '', ' **errlist** : list', '', ' A list of validation errors already found in the FITS file; this is', ' used primarily for the validation system to collect errors across', ' multiple HDUs and multiple calls to `req_cards`.', '', '.. rubric:: Notes', '', 'If ``pos=None``, the card can be anywhere in the header. If the card', 'does not exist, the new card will have the ``fix_value`` as its value', "when created. Also check the card's value by using the ``test``", 'argument.']:30: WARNING: py:obj reference target not found: None /<>/docs/io/fits/api/tables.rst:58: WARNING: py:obj reference target not found: list /<>/docs/io/fits/api/tables.rst:58: WARNING: py:obj reference target not found: numpy.ndarray /<>/docs/io/fits/api/tables.rst:69: WARNING: py:obj reference target not found: True ['Column.array', ':module: astropy.io.fits', '', 'The Numpy `~numpy.ndarray` associated with this `Column`.', '', 'If the column was instantiated with an array passed to the ``array``', 'argument, this will return that array. However, if the column is', 'later added to a table, such as via `BinTableHDU.from_columns` as', 'is typically the case, this attribute will be updated to reference', 'the associated field in the table, which may no longer be the same', 'array.']:3: WARNING: py:obj reference target not found: numpy.ndarray /<>/docs/io/fits/api/tables.rst:20: WARNING: py:obj reference target not found: numpy.recarray ["ColDefs.info(attrib='all', output=None)", ':module: astropy.io.fits', '', 'Get attribute(s) information of the column definition.', '', ':Parameters:', '', ' **attrib** : str', '', ' Can be one or more of the attributes listed in', ' ``astropy.io.fits.column.KEYWORD_ATTRIBUTES``. The default is', ' ``"all"`` which will print out all attributes. It forgives plurals', ' and blanks. If there are two or more attribute names, they must be', ' separated by comma(s).', '', ' **output** : file, optional', '', ' File-like object to output to. Outputs to stdout by default.', ' If `False`, returns the attributes as a `dict` instead.', '', '.. rubric:: Notes', '', "This function doesn't return anything by default; it just prints to", 'stdout.']:17: WARNING: py:obj reference target not found: False ["ColDefs.info(attrib='all', output=None)", ':module: astropy.io.fits', '', 'Get attribute(s) information of the column definition.', '', ':Parameters:', '', ' **attrib** : str', '', ' Can be one or more of the attributes listed in', ' ``astropy.io.fits.column.KEYWORD_ATTRIBUTES``. The default is', ' ``"all"`` which will print out all attributes. It forgives plurals', ' and blanks. If there are two or more attribute names, they must be', ' separated by comma(s).', '', ' **output** : file, optional', '', ' File-like object to output to. Outputs to stdout by default.', ' If `False`, returns the attributes as a `dict` instead.', '', '.. rubric:: Notes', '', "This function doesn't return anything by default; it just prints to", 'stdout.']:17: WARNING: py:obj reference target not found: dict /<>/docs/io/fits/api/tables.rst:7: WARNING: py:class reference target not found: numpy.recarray /<>/docs/io/fits/api/tables.rst:11: WARNING: py:obj reference target not found: numpy.recarray /<>/docs/io/fits/api/tables.rst:14: WARNING: py:obj reference target not found: numpy.ndarray /<>/docs/io/fits/api/tables.rst:30: WARNING: py:obj reference target not found: numpy.ndarray.copy /<>/docs/io/fits/api/tables.rst:30: WARNING: py:obj reference target not found: numpy.copy ['FITS_rec.from_columns(columns, nrows=0, fill=False)', ':module: astropy.io.fits', '', 'Given a `ColDefs` object of unknown origin, initialize a new `FITS_rec`', 'object.', '', '.. note::', '', ' This was originally part of the ``new_table`` function in the table', ' module but was moved into a class method since most of its', ' functionality always had more to do with initializing a `FITS_rec`', ' object than anything else, and much of it also overlapped with', ' ``FITS_rec._scale_back``.', '', ':Parameters:', '', ' **columns** : sequence of `Column` or a `ColDefs`', '', ' The columns from which to create the table data. If these', ' columns have data arrays attached that data may be used in', ' initializing the new table. Otherwise the input columns', ' will be used as a template for a new table with the requested', ' number of rows.', '', ' **nrows** : int', '', ' Number of rows in the new table. If the input columns have data', ' associated with them, the size of the largest input column is used.', ' Otherwise the default is 0.', '', ' **fill** : bool', '', ' If `True`, will fill all cells with zeros or blanks. If', ' `False`, copy the data from input, undefined cells will still', ' be filled with zeros/blanks.']:32: WARNING: py:obj reference target not found: True ['FITS_rec.from_columns(columns, nrows=0, fill=False)', ':module: astropy.io.fits', '', 'Given a `ColDefs` object of unknown origin, initialize a new `FITS_rec`', 'object.', '', '.. note::', '', ' This was originally part of the ``new_table`` function in the table', ' module but was moved into a class method since most of its', ' functionality always had more to do with initializing a `FITS_rec`', ' object than anything else, and much of it also overlapped with', ' ``FITS_rec._scale_back``.', '', ':Parameters:', '', ' **columns** : sequence of `Column` or a `ColDefs`', '', ' The columns from which to create the table data. If these', ' columns have data arrays attached that data may be used in', ' initializing the new table. Otherwise the input columns', ' will be used as a template for a new table with the requested', ' number of rows.', '', ' **nrows** : int', '', ' Number of rows in the new table. If the input columns have data', ' associated with them, the size of the largest input column is used.', ' Otherwise the default is 0.', '', ' **fill** : bool', '', ' If `True`, will fill all cells with zeros or blanks. If', ' `False`, copy the data from input, undefined cells will still', ' be filled with zeros/blanks.']:32: WARNING: py:obj reference target not found: False /<>/docs/io/fits/api/tables.rst:7: WARNING: py:class reference target not found: object /<>/docs/io/fits/api/tables.rst:27: WARNING: py:obj reference target not found: None /<>/docs/io/fits/api/tables.rst:32: WARNING: py:obj reference target not found: None /<>/docs/io/fits/api/tables.rst:30: WARNING: py:obj reference target not found: None /<>/docs/io/fits/appendix/faq.rst:111: WARNING: py:obj reference target not found: KeyError /<>/docs/io/fits/appendix/faq.rst:283: WARNING: undefined label: sphx_glr_generated_examples_io_skip_create-large-fits.py (if the link has no caption the label must precede a section header) /<>/docs/io/fits/appendix/faq.rst:307: WARNING: undefined label: sphx_glr_generated_examples_io_create-mef.py (if the link has no caption the label must precede a section header) /<>/docs/io/fits/appendix/faq.rst:412: WARNING: py:obj reference target not found: numpy.recarray /<>/docs/io/fits/appendix/faq.rst:412: WARNING: py:obj reference target not found: numpy.recarray /<>/docs/io/fits/appendix/faq.rst:471: WARNING: py:obj reference target not found: numpy.ndarray /<>/docs/io/fits/appendix/faq.rst:471: WARNING: py:obj reference target not found: numpy.ndarray /<>/docs/io/fits/appendix/faq.rst:495: WARNING: py:func reference target not found: gc.collect /<>/docs/io/fits/appendix/faq.rst:510: WARNING: py:obj reference target not found: numpy.ndarray /<>/docs/io/fits/appendix/header_transition.rst:41: WARNING: py:obj reference target not found: list /<>/docs/io/fits/appendix/header_transition.rst:41: WARNING: py:obj reference target not found: dict /<>/docs/io/fits/appendix/header_transition.rst:70: WARNING: py:class reference target not found: collections.OrderedDict /<>/docs/io/fits/appendix/header_transition.rst:90: WARNING: py:obj reference target not found: dict /<>/docs/io/fits/appendix/header_transition.rst:108: WARNING: py:obj reference target not found: dict /<>/docs/io/fits/appendix/header_transition.rst:108: WARNING: py:obj reference target not found: dict /<>/docs/io/fits/appendix/header_transition.rst:108: WARNING: py:class reference target not found: collections.OrderedDict /<>/docs/io/fits/appendix/header_transition.rst:117: WARNING: py:obj reference target not found: list /<>/docs/io/fits/appendix/header_transition.rst:201: WARNING: py:obj reference target not found: dict /<>/docs/io/fits/appendix/header_transition.rst:201: WARNING: py:obj reference target not found: KeyError /<>/docs/io/fits/appendix/header_transition.rst:258: WARNING: py:obj reference target not found: KeyError /<>/docs/io/fits/appendix/header_transition.rst:290: WARNING: py:obj reference target not found: dict /<>/docs/io/fits/appendix/header_transition.rst:295: WARNING: py:obj reference target not found: dict.update /<>/docs/io/fits/appendix/header_transition.rst:366: WARNING: py:obj reference target not found: list /<>/docs/io/fits/appendix/header_transition.rst:388: WARNING: py:obj reference target not found: repr /<>/docs/io/fits/index.rst:47: WARNING: py:obj reference target not found: list /<>/docs/io/fits/index.rst:155: WARNING: py:obj reference target not found: True /<>/docs/io/fits/index.rst:155: WARNING: py:obj reference target not found: False /<>/docs/io/fits/index.rst:169: WARNING: py:obj reference target not found: KeyError /<>/docs/io/fits/index.rst:273: WARNING: undefined label: sphx_glr_generated_examples_io_modify-fits-header.py (if the link has no caption the label must precede a section header) /<>/docs/io/fits/index.rst:278: WARNING: py:obj reference target not found: numpy.ndarray /<>/docs/io/fits/index.rst:351: WARNING: undefined label: sphx_glr_generated_examples_io_plot_fits-image.py (if the link has no caption the label must precede a section header) /<>/docs/io/fits/index.rst:367: WARNING: py:obj reference target not found: numpy.recarray /<>/docs/io/fits/index.rst:466: WARNING: undefined label: sphx_glr_generated_examples_io_fits-tables.py (if the link has no caption the label must precede a section header) /<>/docs/io/fits/index.rst:633: WARNING: py:class reference target not found: numpy.recarray /<>/docs/io/fits/index.rst:644: WARNING: undefined label: sphx_glr_generated_examples_io_create-mef.py (if the link has no caption the label must precede a section header) /<>/docs/io/fits/usage/headers.rst:20: WARNING: py:obj reference target not found: None /<>/docs/io/fits/usage/headers.rst:69: WARNING: py:class reference target not found: dict /<>/docs/io/fits/usage/table.rst:47: WARNING: py:obj reference target not found: numpy.recarray io/votable/references.txt:11: WARNING: py:mod reference target not found: warnings io/votable/references.txt:4: WARNING: py:class reference target not found: SyntaxWarning io/votable/references.txt:4: WARNING: py:class reference target not found: SyntaxWarning io/votable/references.txt:4: WARNING: py:class reference target not found: SyntaxWarning io/votable/references.txt:4: WARNING: py:class reference target not found: RuntimeWarning io/votable/references.txt:4: WARNING: py:class reference target not found: ValueError /<>/docs/io/votable/index.rst:241: WARNING: py:obj reference target not found: warnings /<>/docs/io/votable/index.rst:274: WARNING: py:obj reference target not found: str /<>/docs/io/votable/index.rst:278: WARNING: py:obj reference target not found: str /<>/docs/io/votable/index.rst:385: WARNING: py:obj reference target not found: True /<>/docs/io/votable/index.rst:1: WARNING: py:obj reference target not found: ValueError /<>/docs/known_issues.rst:34: WARNING: py:obj reference target not found: numpy.ndarray /<>/docs/known_issues.rst:58: WARNING: py:obj reference target not found: numpy.ndarray /<>/docs/known_issues.rst:80: WARNING: 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pickle.PickleError /<>/docs/known_issues.rst:196: WARNING: py:obj reference target not found: pickle /<>/docs/known_issues.rst:196: WARNING: py:obj reference target not found: pickle /<>/docs/modeling/compound-models.rst:85: WARNING: py:obj reference target not found: True /<>/docs/modeling/compound-models.rst:686: WARNING: py:obj reference target not found: list /<>/docs/modeling/compound-models.rst:984: WARNING: py:obj reference target not found: tuple /<>/docs/modeling/fitting.rst:11: WARNING: py:obj reference target not found: numpy.linalg.lstsq /<>/docs/modeling/fitting.rst:11: WARNING: py:obj reference target not found: scipy.optimize.leastsq /<>/docs/modeling/fitting.rst:11: WARNING: py:obj reference target not found: scipy.optimize.fmin_slsqp /<>/docs/modeling/index.rst:229: WARNING: py:obj reference target not found: len /<>/docs/modeling/index.rst:52: WARNING: py:obj reference target not found: scipy.interpolate.interpn /<>/docs/modeling/index.rst:52: WARNING: py:obj 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dh_strip_nondeterminism -Xinvalid.dat.gz make[1]: Leaving directory '/<>' dh_compress dh_fixperms dh_missing dh_strip dh_makeshlibs debian/rules override_dh_shlibdeps make[1]: Entering directory '/<>' debian/rules:34: warning: overriding recipe for target 'override_dh_auto_build' debian/rules:25: warning: ignoring old recipe for target 'override_dh_auto_build' dh_shlibdeps dh_numpy dh_numpy3 make[1]: Leaving directory '/<>' dh_installdeb dh_gencontrol dpkg-gencontrol: warning: package astropy-utils: unused substitution variable ${python:Depends} dpkg-gencontrol: warning: package python3-astropy: unused substitution variable ${python3:Provides} dpkg-gencontrol: warning: package python3-astropy: unused substitution variable ${python3:Versions} dpkg-gencontrol: warning: package python3-astropy: unused substitution variable ${python:Depends} dpkg-gencontrol: warning: package python-astropy: unused substitution variable ${python3:Depends} dpkg-gencontrol: warning: package python-astropy: 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unused substitution variable ${python:Versions} dh_md5sums dh_builddeb INFO: pkgstriptranslations version 131 INFO: pkgstriptranslations version 131 INFO: pkgstriptranslations version 131 pkgstriptranslations: processing python3-astropy (in debian/python3-astropy); do_strip: , oemstrip: pkgstriptranslations: processing python-astropy (in debian/python-astropy); do_strip: , oemstrip: pkgstriptranslations: processing python-astropy-doc (in debian/python-astropy-doc); do_strip: , oemstrip: pkgmaintainermangler: Maintainer field overridden to "Ubuntu Developers " pkgstripfiles: processing control file: debian/python-astropy/DEBIAN/control, package python-astropy, directory debian/python-astropy .. removing usr/share/doc/python-astropy/changelog.gz pkgstripfiles: Truncating usr/share/doc/python-astropy/changelog.Debian.gz to topmost ten records pkgstripfiles: Running PNG optimization (using 4 cpus) for package python-astropy ... o pkgstripfiles: PNG optimization (1/0) for package python-astropy took 0 s dpkg-deb: building package 'python-astropy' in '../python-astropy_2.0.2-1_amd64.deb'. pkgmaintainermangler: Maintainer field overridden to "Ubuntu Developers " pkgstripfiles: processing control file: debian/python3-astropy/DEBIAN/control, package python3-astropy, directory debian/python3-astropy .. removing usr/share/doc/python3-astropy/changelog.gz pkgstripfiles: Truncating usr/share/doc/python3-astropy/changelog.Debian.gz to topmost ten records pkgstripfiles: Running PNG optimization (using 4 cpus) for package python3-astropy ... o pkgstripfiles: PNG optimization (1/0) for package python3-astropy took 1 s dpkg-deb: building package 'python3-astropy' in '../python3-astropy_2.0.2-1_amd64.deb'. pkgmaintainermangler: Maintainer field overridden to "Ubuntu Developers " pkgstripfiles: processing control file: debian/python-astropy-doc/DEBIAN/control, package python-astropy-doc, directory debian/python-astropy-doc .. removing 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INFO: pkgstriptranslations version 131 pkgstriptranslations: processing python-astropy-dbgsym (in debian/.debhelper/python-astropy/dbgsym-root); do_strip: , oemstrip: pkgmaintainermangler: Maintainer field overridden to "Ubuntu Developers " pkgstripfiles: processing control file: debian/.debhelper/python-astropy/dbgsym-root/DEBIAN/control, package python-astropy-dbgsym, directory debian/.debhelper/python-astropy/dbgsym-root pkgstripfiles: Running PNG optimization (using 4 cpus) for package python-astropy-dbgsym ... pkgstripfiles: No PNG files. dpkg-deb: building package 'python-astropy-dbgsym' in 'debian/.debhelper/scratch-space/build-python-astropy/python-astropy-dbgsym_2.0.2-1_amd64.deb'. Renaming python-astropy-dbgsym_2.0.2-1_amd64.deb to python-astropy-dbgsym_2.0.2-1_amd64.ddeb INFO: pkgstriptranslations version 131 pkgstriptranslations: processing python3-astropy-dbgsym (in debian/.debhelper/python3-astropy/dbgsym-root); do_strip: , oemstrip: pkgmaintainermangler: Maintainer field overridden to "Ubuntu Developers " pkgstripfiles: processing control file: debian/.debhelper/python3-astropy/dbgsym-root/DEBIAN/control, package python3-astropy-dbgsym, directory debian/.debhelper/python3-astropy/dbgsym-root pkgstripfiles: Running PNG optimization (using 4 cpus) for package python3-astropy-dbgsym ... pkgstripfiles: No PNG files. dpkg-deb: building package 'python3-astropy-dbgsym' in 'debian/.debhelper/scratch-space/build-python3-astropy/python3-astropy-dbgsym_2.0.2-1_amd64.deb'. Renaming python3-astropy-dbgsym_2.0.2-1_amd64.deb to python3-astropy-dbgsym_2.0.2-1_amd64.ddeb INFO: pkgstriptranslations version 131 pkgstriptranslations: processing astropy-utils (in debian/astropy-utils); do_strip: , oemstrip: pkgmaintainermangler: Maintainer field overridden to "Ubuntu Developers " pkgstripfiles: processing control file: debian/astropy-utils/DEBIAN/control, package astropy-utils, directory debian/astropy-utils .. removing usr/share/doc/astropy-utils/changelog.gz Searching for duplicated docs in dependency python3-astropy... symlinking changelog.Debian.gz in astropy-utils to file in python3-astropy Searching for duplicated docs in dependency python3-astropy... pkgstripfiles: Running PNG optimization (using 4 cpus) for package astropy-utils ... pkgstripfiles: No PNG files. dpkg-deb: building package 'astropy-utils' in '../astropy-utils_2.0.2-1_all.deb'. dpkg-genbuildinfo --build=binary dpkg-genchanges --build=binary -mLaunchpad Build Daemon >../python-astropy_2.0.2-1_amd64.changes dpkg-genchanges: info: binary-only upload (no source code included) dpkg-source --after-build python-astropy-2.0.2 dpkg-buildpackage: info: binary-only upload (no source included) -------------------------------------------------------------------------------- Build finished at 20171103-0205 Finished -------- I: Built successfully +------------------------------------------------------------------------------+ | Post Build Chroot | +------------------------------------------------------------------------------+ +------------------------------------------------------------------------------+ | Changes | +------------------------------------------------------------------------------+ python-astropy_2.0.2-1_amd64.changes: ------------------------------------- Format: 1.8 Date: Mon, 11 Sep 2017 20:39:28 +0200 Source: python-astropy Binary: python-astropy python3-astropy python-astropy-doc astropy-utils Architecture: all amd64 Version: 2.0.2-1 Distribution: bionic-proposed Urgency: medium Maintainer: Launchpad Build Daemon Changed-By: Ole Streicher Description: astropy-utils - Command line tools from astropy python-astropy - Core functionality for performing astrophysics with Python python-astropy-doc - Core functionality for performing astrophysics with Python (doc) python3-astropy - Core functionality for performing astrophysics with Python3 Closes: 875317 Changes: python-astropy (2.0.2-1) unstable; urgency=medium . * New upstream version 2.0.2 * Rediff patches * Push Standards-Version to 4.1.0. No changes needed. * Shorten message to compare for recent h5py. * Rebuiold against current Python versions. 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This package contains the tools that come with astropy: . * fitscheck: Detect and fix FITS standards violations * fits2bitmap: Create a bitmap file from a FITS image. * fitsdiff: Compare two FITS image files and report the differences in header keywords and data. * fitsheader: Print the header(s) of one or more FITS file(s) to the standard output in a human-readable format. * samp_hub: SAMP Hub Server. * volint: Check a VOTable file for compliance to the VOTable specification * wcslint: Check the WCS keywords in a FITS file for compliance against the standards drwxr-xr-x root/root 0 2017-09-11 18:39 ./ drwxr-xr-x root/root 0 2017-09-11 18:39 ./usr/ drwxr-xr-x root/root 0 2017-09-11 18:39 ./usr/bin/ -rwxr-xr-x root/root 392 2017-09-11 18:39 ./usr/bin/fits2bitmap -rwxr-xr-x root/root 388 2017-09-11 18:39 ./usr/bin/fitscheck -rwxr-xr-x root/root 386 2017-09-11 18:39 ./usr/bin/fitsdiff -rwxr-xr-x root/root 390 2017-09-11 18:39 ./usr/bin/fitsheader -rwxr-xr-x root/root 386 2017-09-11 18:39 ./usr/bin/fitsinfo -rwxr-xr-x root/root 386 2017-09-11 18:39 ./usr/bin/samp_hub -rwxr-xr-x root/root 382 2017-09-11 18:39 ./usr/bin/volint -rwxr-xr-x root/root 384 2017-09-11 18:39 ./usr/bin/wcslint drwxr-xr-x root/root 0 2017-09-11 18:39 ./usr/share/ drwxr-xr-x root/root 0 2017-09-11 18:39 ./usr/share/doc/ drwxr-xr-x root/root 0 2017-09-11 18:39 ./usr/share/doc/astropy-utils/ lrwxrwxrwx root/root 0 2017-09-11 18:39 ./usr/share/doc/astropy-utils/changelog.Debian.gz -> ../python3-astropy/changelog.Debian.gz -rw-r--r-- root/root 4667 2017-08-17 07:49 ./usr/share/doc/astropy-utils/copyright drwxr-xr-x root/root 0 2017-09-11 18:39 ./usr/share/man/ drwxr-xr-x root/root 0 2017-09-11 18:39 ./usr/share/man/man1/ -rw-r--r-- root/root 738 2017-09-11 18:39 ./usr/share/man/man1/fits2bitmap.1.gz -rw-r--r-- root/root 914 2017-09-11 18:39 ./usr/share/man/man1/fitscheck.1.gz -rw-r--r-- root/root 1747 2017-09-11 18:39 ./usr/share/man/man1/fitsdiff.1.gz -rw-r--r-- root/root 634 2017-09-11 18:39 ./usr/share/man/man1/fitsheader.1.gz -rw-r--r-- root/root 435 2017-09-11 18:39 ./usr/share/man/man1/fitsinfo.1.gz -rw-r--r-- root/root 2075 2017-09-11 18:39 ./usr/share/man/man1/samp_hub.1.gz -rw-r--r-- root/root 247 2017-09-11 18:39 ./usr/share/man/man1/volint.1.gz -rw-r--r-- root/root 257 2017-09-11 18:39 ./usr/share/man/man1/wcslint.1.gz python-astropy-doc_2.0.2-1_all.deb ---------------------------------- new debian package, version 2.0. size 10637604 bytes: control archive=71024 bytes. 776 bytes, 19 lines control 344570 bytes, 2941 lines md5sums Package: python-astropy-doc Source: python-astropy Version: 2.0.2-1 Architecture: all Maintainer: Ubuntu Developers Original-Maintainer: Debian Astronomy Maintainers Installed-Size: 49133 Depends: libjs-sphinxdoc (>= 1.0) Section: doc Priority: optional Multi-Arch: foreign Homepage: https://astropy.org Description: Core functionality for performing astrophysics with Python (doc) The astropy package contains core functionality and some common tools needed for performing astronomy and astrophysics research with Python. It can be extended by a number of "affiliated packages" that are intended to work with the core package. . 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./usr/share/lintian/overrides/python-astropy-doc python-astropy_2.0.2-1_amd64.deb -------------------------------- new debian package, version 2.0. size 2804252 bytes: control archive=23468 bytes. 1196 bytes, 17 lines control 97240 bytes, 935 lines md5sums 164 bytes, 9 lines * postinst #!/bin/sh 265 bytes, 14 lines * prerm #!/bin/sh Package: python-astropy Version: 2.0.2-1 Architecture: amd64 Maintainer: Ubuntu Developers Original-Maintainer: Debian Astronomy Maintainers Installed-Size: 16610 Depends: python-configobj, python-ply (>= 3.5), python-pytest (>= 3.1), python-six (>= 1.10.0), python (<< 2.8), python (>= 2.7~), python-numpy (>= 1:1.13.1), python-numpy-abi9, python:any (<< 2.8), python:any (>= 2.7.5-5~), libc6 (>= 2.14), libcfitsio5 (>= 3.390~), liberfa1 (>= 1.3.0), libexpat1 (>= 2.0.1), libwcs5 (>= 5.0) Recommends: libjs-jquery, libjs-jquery-datatables Suggests: libxml2-utils, python-astropy-affiliated, python-astropy-doc, python-beautifulsoup, python-h5py, python-matplotlib, python-pandas, python-scipy, python-tz, python-yaml Section: python Priority: optional Homepage: https://astropy.org Description: Core functionality for performing astrophysics with Python The astropy package contains core functionality and some common tools needed for performing astronomy and astrophysics research with Python. 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python3-numpy (>= 1:1.13.1), python3-numpy-abi9, python3:any (>= 3.3.2-2~), libc6 (>= 2.14), libcfitsio5 (>= 3.390~), liberfa1 (>= 1.3.0), libexpat1 (>= 2.0.1), libwcs5 (>= 5.0) Recommends: libjs-jquery, libjs-jquery-datatables Suggests: libxml2-utils, python-astropy-doc, python3-astropy-affiliated, python3-beautifulsoup, python3-h5py, python3-matplotlib, python3-pandas, python3-scipy, python3-tz, python3-yaml Section: python Priority: optional Homepage: https://astropy.org Description: Core functionality for performing astrophysics with Python3 The astropy package contains core functionality and some common tools needed for performing astronomy and astrophysics research with Python3. 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Space: 417268 Status: successful Version: 2.0.2-1 -------------------------------------------------------------------------------- Finished at 20171103-0205 Build needed 00:43:15, 417268k disc space RUN: /usr/share/launchpad-buildd/slavebin/in-target scan-for-processes --backend=chroot --series=bionic --arch=amd64 PACKAGEBUILD-13661057 Scanning for processes to kill in build PACKAGEBUILD-13661057 RUN: /usr/share/launchpad-buildd/slavebin/in-target umount-chroot --backend=chroot --series=bionic --arch=amd64 PACKAGEBUILD-13661057 Stopping target for build PACKAGEBUILD-13661057 RUN: /usr/share/launchpad-buildd/slavebin/in-target remove-build --backend=chroot --series=bionic --arch=amd64 PACKAGEBUILD-13661057 Removing build PACKAGEBUILD-13661057