Ubuntu
dipy package

dipy 1.8.0-1 source package in Ubuntu

Changelog

dipy (1.8.0-1) unstable; urgency=medium

  * New upstream version 1.8.0  (Closes: #1060176)
  * Patches deleted after application upstream: python3, crossbuild.patch,
    spelling-error-in-binary.patch, and fix-invalid-version.patch.
  * Patches refreshed: deb_no_sources_for_docs patch,
    skip-tests-needing-internet.patch, skip_wall-clock_test.patch,
    no-network.patch, skip-stringent-test.patch and relay_comparison.patch.
  * d/{control,rules}: migrate to dh-sequence-python3.
  * d/control: build depends on pybuild-plugin-pyproject and python3-mesonpy.
  * d/control: doc build depends on python3-skimage and python3-sphinx-design.
  * d/control: build time tests now depend on python3-trx-python.
  * d/control: python-dipy-doc depends on libjs-sphinxdoc & node-mathjax-full.
  * d/t/control: remove needs-internet restriction.
    The test suite is in a state that works appropriately without Internet.
  * d/rules: declare matplotlib backend in environment.
  * d/rules: slight attempt at improving the general readability.
  * d/rules: fix the build date in documentation.
  * d/rules: update dist-packages cleanup pattern.
  * d/rules: replace references to cdn jsdelivr by uses of a local file.
  * d/rules: remove embedded sphinx javascript.
    This is done in favor of using links to the canonical scripts instead.
  * d/rules: introduce dh_fixperms scripting.
    This fixes a couple of occurrences of executables not elf nor scripts.
  * d/python3-dipy.install: copy all example files instead of just scripts.
  * d/python-dipy-doc.links: point to libjs-sphinxdoc scripts.
  * sphinx-default.patch: new: apply default theme.
    This avoids depending on grg theme not available yet.
  * skip-tests-needing-internet.patch: skip more tests.
  * fix-i386.patch: zero precision for test_ascm_accuracy.
    The test is not capable of decimal precision on i386, and possibly
    other 32-bit cpu architectures.
  * fix-privacy-breaches.patch: new: uninline youtube video.

 -- Étienne Mollier <email address hidden>  Wed, 10 Jan 2024 22:26:24 +0100

Upload details

Uploaded by:
Debian Med
Uploaded to:
Sid
Original maintainer:
Debian Med
Architectures:
any all
Section:
python
Urgency:
Medium Urgency

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File Size SHA-256 Checksum
dipy_1.8.0-1.dsc 3.0 KiB 36fb405693e4f1954a3cacec7b69e6ad0e827de352328c154fcf32fd29f9fe6b
dipy_1.8.0.orig.tar.gz 6.2 MiB 06648d858d1c5f5e69859e4298aed837eee123a61d60c2411b7f76724e54f241
dipy_1.8.0-1.debian.tar.xz 16.7 KiB 9e84ba84d43cdad2806ada0319aceba540ad8cd5ecafb54b3809588d14a97312

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Binary packages built by this source

python-dipy-doc: Python library for the analysis of diffusion MRI datasets -- documentation

 DIPY is a library for the analysis of diffusion magnetic resonance
 imaging data.
 .
 This package provides the documentation in HTML format.

python3-dipy: Python library for the analysis of diffusion MRI datasets

 DIPY is a software project for computational neuroanatomy. It focuses
 on diffusion magnetic resonance imaging (dMRI) analysis and
 tractography but also contains implementations of other computational
 imaging methods such as denoising and registration that are
 applicable to the greater medical imaging and image processing
 communities. Additionally, DIPY is an international project which
 brings together scientists across labs and countries to share their
 state-of-the-art code and expertise in the same codebase,
 accelerating scientific research in medical imaging.
 .
 Here are some of the highlights:
  - Reconstruction algorithms: CSD, DSI, GQI, DTI, DKI, QBI, SHORE
    and MAPMRI
  - Fiber tracking algorithms: deterministic and probabilistic
  - Native linear and nonlinear registration of images
  - Fast operations on streamlines (selection, resampling, registration)
  - Tractography segmentation and clustering
  - Many image operations, e.g., reslicing or denoising with NLMEANS
  - Estimation of distances/correspondences between streamlines and
    connectivity matrices
  - Interactive visualization of streamlines in the space of images
 .
 This package contains the Python 3 version.

python3-dipy-lib: Python library for the analysis of diffusion MRI datasets -- Python3 extensions

 DIPY is a library for the analysis of diffusion magnetic resonance
 imaging data.
 .
 This package provides architecture-dependent builds of the extensions
 for Python3.

python3-dipy-lib-dbgsym: debug symbols for python3-dipy-lib