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Source: nipy
Maintainer: Debian Med Packaging Team <debian-med-packaging@lists.alioth.debian.org>
Uploaders: Étienne Mollier <emollier@debian.org>
Section: python
Testsuite: autopkgtest-pkg-python
Priority: optional
Build-Depends: debhelper-compat (= 13),
dh-sequence-python3,
pybuild-plugin-pyproject,
python3-all-dev,
python3-setuptools,
python3-scipy,
python3-numpy,
python3-matplotlib,
python3-mesonpy,
python3-sphinx,
python3-ipython,
python3-texext,
python3-transforms3d <!nocheck>,
python3-numpydoc,
python3-nibabel,
python3-pytest,
python3-sympy,
liblapack-dev | liblapack.so,
libblas-dev | libblas.so,
cython3,
graphviz,
dvipng,
help2man
Standards-Version: 4.7.0
Vcs-Browser: https://salsa.debian.org/med-team/nipy
Vcs-Git: https://salsa.debian.org/med-team/nipy.git
Homepage: https://nipy.org/nipy/
Rules-Requires-Root: no
Package: python3-nipy
Architecture: all
Depends: ${shlibs:Depends},
${misc:Depends},
${python3:Depends},
python3-scipy,
python3-numpy,
python3-nibabel,
python3-nipy-lib (>= ${source:Version})
Recommends: python3-matplotlib,
mayavi2,
python3-sympy
Suggests: python3-mvpa
Description: 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
Package: python3-nipy-lib
Architecture: any
Multi-Arch: same
Depends: ${shlibs:Depends},
${misc:Depends},
${python3:Depends}
Description: 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.
Package: python-nipy-doc
Architecture: all
Multi-Arch: foreign
Section: doc
Depends: libjs-mathjax,
${misc:Depends},
${sphinxdoc:Depends}
Recommends: python3-nipy
Built-Using: ${sphinxdoc:Built-Using}
Description: documentation and examples for NiPy
This package contains NiPy documentation in various formats (HTML,
TXT) including
* User manual
* Developer guidelines
* API documentation
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