python-pyqtgraph 0.9.10-4 source package in Ubuntu

Changelog

python-pyqtgraph (0.9.10-4) unstable; urgency=medium

  * Disable testsuite, it drags too much dependencies, and
    it fails for some new python3.5 modules. (Closes: #801207)
    - https://github.com/pyqtgraph/pyqtgraph/issues/230

 -- Gianfranco Costamagna <email address hidden>  Thu, 20 Aug 2015 23:29:20 +0200

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Uploaded by:
Debian Science Team
Uploaded to:
Sid
Original maintainer:
Debian Science Team
Architectures:
all
Section:
misc
Urgency:
Medium Urgency

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Builds

Xenial: [FULLYBUILT] amd64

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python-pyqtgraph_0.9.10-4.dsc 2.3 KiB 7b50f0f3936ad2169dbbc3179cf0cdcf7ea936bbf184e26fa0b7c86e549a3b2c
python-pyqtgraph_0.9.10.orig.tar.gz 655.5 KiB 44f018ee642454b070433472f23a900921538cec72381e28a26f5cba84973905
python-pyqtgraph_0.9.10-4.debian.tar.xz 3.0 KiB e209fd0e602b8c4c8fb87f4584b002a21df4d702a8261565b0549ab858397628

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Binary packages built by this source

python-pyqtgraph: Scientific Graphics and GUI Library for Python 2

 PyQtGraph is a pure-python graphics and GUI library built on PyQt4 and numpy.
 It is intended for use in mathematics / scientific / engineering applications.
 Despite being written entirely in Python, the library is very fast due to its
 heavy leverage of numpy for number crunching and Qt's GraphicsView framework
 for fast display.
 .
 This is the Python 2 version of the package.

python-pyqtgraph-doc: Scientific Graphics and GUI Library for Python (common documentation)

 PyQtGraph is a pure-python graphics and GUI library built on PyQt4 and numpy.
 It is intended for use in mathematics / scientific / engineering applications.
 Despite being written entirely in Python, the library is very fast due to its
 heavy leverage of numpy for number crunching and Qt's GraphicsView framework
 for fast display.
 .
 This is the common documentation package.

python3-pyqtgraph: Scientific Graphics and GUI Library for Python 3

 PyQtGraph is a pure-python graphics and GUI library built on PyQt4 and numpy.
 It is intended for use in mathematics / scientific / engineering applications.
 Despite being written entirely in Python, the library is very fast due to its
 heavy leverage of numpy for number crunching and Qt's GraphicsView framework
 for fast display.
 .
 This is the Python 3 version of the package.