nipy 0.5.0-2 source package in Ubuntu

Changelog

nipy (0.5.0-2) unstable; urgency=medium

  * Team upload.
  * Drop debug package
    Closes: #994315

 -- Andreas Tille <email address hidden>  Wed, 22 Sep 2021 15:41:40 +0200

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
nipy_0.5.0-2.dsc 2.4 KiB 2eb0b64e552e10ba6884991214b87251a06fb92d9115a583dce38fe09cea8c16
nipy_0.5.0.orig.tar.gz 2.3 MiB 82a5600a2a0ad0a7c2580d54ebf045f0b3ab1e253a3723cb9bedc0642eb82a96
nipy_0.5.0-2.debian.tar.xz 9.9 KiB 879c921bfd5241cd77e6ba5768fa5a2b187e3bb8ff4480cb5e71d88e35696f7f

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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