nibabel 3.1.1-1 source package in Ubuntu

Changelog

nibabel (3.1.1-1) unstable; urgency=medium

  [ Andreas Tille ]
  * Team upload.
  * New upstream version
  * Update Homepage
  * Rules-Requires-Root: no (routine-update)
  * Replace use of deprecated $ADTTMP with $AUTOPKGTEST_TMP.
  * Switch build time test from nose to pytest
    Closes: #964610

  [ Nilesh Patra ]
  * Add manpages
  * Switch autopkgtest to pytest
  * Fix perms of non-executables

 -- Nilesh Patra <email address hidden>  Mon, 27 Jul 2020 20:33:51 +0530

Upload details

Uploaded by:
Debian Med on 2020-07-27
Uploaded to:
Sid
Original maintainer:
Debian Med
Architectures:
all
Section:
python
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Groovy release on 2020-07-28 universe python

Builds

Groovy: [FULLYBUILT] amd64

Downloads

File Size SHA-256 Checksum
nibabel_3.1.1-1.dsc 2.4 KiB ac3f0b0d5e199f759bcb05ec7d8b0b97fd3a87cf83b762b84d5bbd7e032f876d
nibabel_3.1.1.orig.tar.gz 4.1 MiB 25b091d7f00e59693f7fea6e77b677c39d00ca25537e903ba589a255a0ecf183
nibabel_3.1.1-1.debian.tar.xz 9.4 KiB e2625a646a0de101cc35c4a2f965513184a4031bd39b6ffd7f83a59b4e0cca2c

Available diffs

No changes file available.

Binary packages built by this source

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.