nipy 0.5.0-6 source package in Ubuntu

Changelog

nipy (0.5.0-6) unstable; urgency=medium

  [ Étienne Mollier ]
  * d/control: add myself to uploaders.
  * d/rules: dynamically patch numpy aliases.

  [ Bas Couwenberg ]
  * Add gbp.conf to use pristine-tar & --source-only-changes by default.

  [ Étienne Mollier ]
  * numpy1.24.patch: add; fix remaining test failure.
    (Closes: #1027255, #1028778)
  * d/copyright: bump copyright year.
  * d/*.lintian-overrides: remove; unused overrides.

 -- Étienne Mollier <email address hidden>  Sat, 14 Jan 2023 14:53:10 +0100

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

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File Size SHA-256 Checksum
nipy_0.5.0-6.dsc 2.5 KiB a61a811935ecb004cbdcabdef26a28d3fa69dd0f221743c6f4b14ca0a78cbaa8
nipy_0.5.0.orig.tar.gz 2.3 MiB 82a5600a2a0ad0a7c2580d54ebf045f0b3ab1e253a3723cb9bedc0642eb82a96
nipy_0.5.0-6.debian.tar.xz 12.4 KiB 4d561c998594dd8203d7c8e4b5a281974303a4eae04fc7c868cd2a137ee163cf

Available diffs

No changes file available.

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