nibabel 5.0.0-1 source package in Ubuntu

Changelog

nibabel (5.0.0-1) unstable; urgency=medium

  * Team upload.
  
  [ Andreas Tille ]
  * New upstream version
  * Standards-Version: 4.6.2 (routine-update)
  * Build-Depends: pybuild-plugin-pyproject,
    python3-pytest-httpserver
  * Set PATH for build time tests
  * Test-Depends: python3-pytest-httpserver
  * Restrict autopkgtest to default Python3 version

  [ Nilesh Patra ]
  * Build-Depends: python3-hatch-vcs

  [ Étienne Mollier ]
  * d/t/control: append "@" (i.e. built packages) to test dependencies.
  * skip-test-removalschedule.patch: add; fix autopkgtest failures.
  * skip-armel-test-nan2zero.patch: add; fix ftbfs on armel. (Closes: #1029593)

 -- Étienne Mollier <email address hidden>  Thu, 26 Jan 2023 18:57:50 +0100

Upload details

Uploaded by:
Debian Med
Uploaded to:
Sid
Original maintainer:
Debian Med
Architectures:
all
Section:
python
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section

Builds

Lunar: [FULLYBUILT] amd64

Downloads

File Size SHA-256 Checksum
nibabel_5.0.0-1.dsc 2.6 KiB a570e7ed50ee25bf2526b47a60b281d7ca895cd818158f4cf882dce260c77f6f
nibabel_5.0.0.orig.tar.gz 4.3 MiB b71c0874163de87d18cdfb00e26f40e1aa4b0b4901ec3b68c2ef58a07255769d
nibabel_5.0.0-1.debian.tar.xz 11.0 KiB b1d0fadfe24f208a2bfe4d380d6306bc253a441fccb798de9c8d7343d8e3e84f

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.