Source: nibabel
Maintainer: Debian Med Packaging Team <debian-med-packaging@lists.alioth.debian.org>
Uploaders: Michael Hanke <michael.hanke@gmail.com>,
           Yaroslav Halchenko <debian@onerussian.com>,
           Étienne Mollier <emollier@debian.org>
Section: python
Priority: optional
Build-Depends: debhelper-compat (= 13),
               dh-sequence-python3,
               pybuild-plugin-pyproject,
               python3-fuse,
               python3-all,
               python3-hatch-vcs,
               python3-hatchling,
               python3-numpy,
               python3-scipy,
               python3-setuptools,
               help2man,
               python3-sphinx,
               python3-matplotlib,
               python3-texext,
               libjs-mathjax,
               python3-numpydoc,
               python3-pytest <!nocheck>,
               python3-pytest-httpserver <!nocheck>
Standards-Version: 4.7.0
Vcs-Browser: https://salsa.debian.org/med-team/nibabel
Vcs-Git: https://salsa.debian.org/med-team/nibabel.git
Homepage: https://nipy.org/nibabel/
Rules-Requires-Root: no

Package: python3-nibabel
Architecture: all
Depends: ${misc:Depends},
         ${python3:Depends},
         python3-numpy,
         python3-scipy,
Recommends: python3-pydicom,
            python3-fuse
Suggests: python-nibabel-doc,
Description: Python3 bindings to various neuroimaging data formats
 NiBabel provides read and write access to some common medical and
 neuroimaging file formats, including: ANALYZE (plain, SPM99, SPM2), GIFTI,
 NIfTI1, MINC, as well as PAR/REC. The various image format classes give full
 or selective access to header (meta) information and access to the image data
 is made available via NumPy arrays.  NiBabel is the successor of PyNIfTI.

Package: python-nibabel-doc
Architecture: all
Multi-Arch: foreign
Section: doc
Depends: ${misc:Depends},
         libjs-jquery,
         libjs-mathjax
Description: documentation for NiBabel
 NiBabel provides read and write access to some common medical and
 neuroimaging file formats, including: ANALYZE (plain, SPM99, SPM2), GIFTI,
 NIfTI1, MINC, as well as PAR/REC. The various image format classes give full
 or selective access to header (meta) information and access to the image data
 is made available via NumPy arrays.  NiBabel is the successor of PyNIfTI.
 .
 This package provides the documentation in HTML format.