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 | Published | Component | Section | |
---|---|---|---|---|
Mantic | release | universe | python |
Downloads
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 |
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