Ubuntu
nipy package

nipy 0.5.0-8 source package in Ubuntu

Changelog

nipy (0.5.0-8) unstable; urgency=medium

  [ Yaroslav Halchenko ]
  * removed myself and Michael since we have not attended to this package for
    awhile

  [ Étienne Mollier ]
  * nibabel5.0.0.patch: update following review upstream.
    Thanks to Chris Markiewicz and Yaroslav Halchenko
  * d/control: build depends on pybuild-plugin-pyproject.
  * nibabel5.1.0.patch: new: resolve test failures.
    These test failures are related to the introduction of the newer
    nibabel version in Debian, which deprecates a couple of functions,
    resulting in some build time test errors in nipy. (Closes: #1042053)
  * standard-gifty-support.patch: new: fix gifti error.
  * remove-imagefileerror.patch: new: remove obsolete import.

 -- Étienne Mollier <email address hidden>  Thu, 17 Aug 2023 21:07:20 +0200

Upload details

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

See full publishing history Publishing

Series Pocket Published Component Section
Mantic release universe python

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File Size SHA-256 Checksum
nipy_0.5.0-8.dsc 2.5 KiB 1ab6c17552123c2b87558402f68e01cb5a58405dd77429140cfbd90f98f66983
nipy_0.5.0.orig.tar.gz 2.3 MiB 82a5600a2a0ad0a7c2580d54ebf045f0b3ab1e253a3723cb9bedc0642eb82a96
nipy_0.5.0-8.debian.tar.xz 39.2 KiB cc1a0fb453d8933cd4e76171e7ca502bec191d0b49a634035dafbee2711cefc6

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Binary packages built by this source

python-nipy-doc: documentation and examples for NiPy

 This package contains NiPy documentation in various formats (HTML,
 TXT) including
  * User manual
  * Developer guidelines
  * API documentation

python3-nipy: Analysis of structural and functional neuroimaging data

 NiPy is a Python-based framework for the analysis of structural and
 functional neuroimaging data. It provides functionality for
  - General linear model (GLM) statistical analysis
  - Combined slice time correction and motion correction
  - General image registration routines with flexible cost functions,
    optimizers and re-sampling schemes
  - Image segmentation
  - Basic visualization of results in 2D and 3D
  - Basic time series diagnostics
  - Clustering and activation pattern analysis across subjects
  - Reproducibility analysis for group studies

python3-nipy-lib: Analysis of structural and functional neuroimaging data (compiled modules)

 NiPy is a Python-based framework for the analysis of structural and
 functional neuroimaging data.
 .
 This package provides architecture-dependent builds of the libraries.

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