nipy 0.6.0-1build1 source package in Ubuntu

Changelog

nipy (0.6.0-1build1) noble; urgency=medium

  * No-change rebuild with Python 3.12 only

 -- Graham Inggs <email address hidden>  Wed, 10 Apr 2024 18:41:52 +0000

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

See full publishing history Publishing

Series Pocket Published Component Section
Oracular release universe python
Noble release universe python

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File Size SHA-256 Checksum
nipy_0.6.0.orig.tar.gz 1.6 MiB aba02a5d00c83667f41d398879283e8e5329a924cb51f0bb620f08507cc41efd
nipy_0.6.0-1build1.debian.tar.xz 11.1 KiB 272e16f65f8c051071b35734f093f7b1ce7b682400c1a46f06f4a2937312a05f
nipy_0.6.0-1build1.dsc 2.5 KiB 26fd740c39f486cbc80be85cf6360d47efee78b0db144b3418cff203b4853722

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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