nibabel 2.0.1-3 source package in Ubuntu

Changelog

nibabel (2.0.1-3) unstable; urgency=medium

  * debian/patches
    - changeset_ea65e90a97fc8c9929b6a93d6c5657111489573b.diff
      cherry-picked from upstream to resolve issues with Python 3.5 doctest
      machinery which lead to FTBFS whenever optional pydicom wasn't avail
      (Closes: #802408)
    - deb_localmathjax
      to use locally available mathjax

 -- Yaroslav Halchenko <email address hidden>  Mon, 02 Nov 2015 11:08:23 -0500

Upload details

Uploaded by:
NeuroDebian Team
Uploaded to:
Sid
Original maintainer:
NeuroDebian Team
Architectures:
all
Section:
python
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section

Builds

Xenial: [FULLYBUILT] amd64

Downloads

File Size SHA-256 Checksum
nibabel_2.0.1-3.dsc 2.2 KiB 41ad769d307b9442ccc92cbf069fbc4550f460944d71988900c88c2d5c65e742
nibabel_2.0.1.orig.tar.gz 3.2 MiB 29c7c371149079586c0cc6152a8dcfd32d1611d683a33306fa551cab93de23db
nibabel_2.0.1-3.debian.tar.xz 7.4 KiB 65710d10e0bdc24fe57fa47aba19685e251fbdf91b0aac0d4492b2163f57a86d

No changes file available.

Binary packages built by this source

python-nibabel: Python 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.
 .
 This package also provides a commandline tools:
 .
  - dicomfs - FUSE filesystem on top of a directory with DICOMs
  - nib-ls - 'ls' for neuroimaging files
  - parrec2nii - for conversion of PAR/REC to NIfTI images

python-nibabel-doc: 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.

python3-nibabel: 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.