nipy 0.5.0-7build1 source package in Ubuntu

Changelog

nipy (0.5.0-7build1) lunar; urgency=medium

  * No-change rebuild with Python 3.11 only

 -- Graham Inggs <email address hidden>  Mon, 20 Mar 2023 05:43:59 +0000

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Uploaded by:
Graham Inggs
Uploaded to:
Lunar
Original maintainer:
Debian Med
Architectures:
any all
Section:
python
Urgency:
Medium Urgency

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Series Pocket Published Component Section
Lunar release universe python

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nipy_0.5.0.orig.tar.gz 2.3 MiB 82a5600a2a0ad0a7c2580d54ebf045f0b3ab1e253a3723cb9bedc0642eb82a96
nipy_0.5.0-7build1.debian.tar.xz 14.5 KiB 8176b58d621f69dc5c0f2d999924cd25d894345869ce070aa5fa0f53c3a32a91
nipy_0.5.0-7build1.dsc 2.4 KiB b2a4c00d238703a2c06e1d2532405de5b7b4d2242757944ed627c5904a745ba6

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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