nibabel 2.5.1-3 source package in Ubuntu

Changelog

nibabel (2.5.1-3) unstable; urgency=medium

  * Team upload.
  * Take over package in Debian Med team maintenance
  * cme fix dpkg-control
     - Priotity optional instead of extra
     - Drop some unneeded versioned dependencies
     - Formatting
  * Breaks+Replaces: python-nibabel
    Closes: #948372
  * Use default Debian Med repository layout for Git repository

 -- Andreas Tille <email address hidden>  Mon, 20 Jan 2020 11:00:59 +0100

Upload details

Uploaded by:
Debian Med on 2020-01-20
Uploaded to:
Sid
Original maintainer:
Debian Med
Architectures:
all
Section:
python
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Focal release on 2020-01-20 universe python

Builds

Focal: [FULLYBUILT] amd64

Downloads

File Size SHA-256 Checksum
nibabel_2.5.1-3.dsc 2.3 KiB cf83b0f1e116985208c95fcf772e07dfc4136efdbac1e83056514d18d7cacf08
nibabel_2.5.1.orig.tar.gz 4.1 MiB a75e15577b9f783e09f48ab42799f3265b7a674f051be118d5f1186a7413bbcd
nibabel_2.5.1-3.debian.tar.xz 7.4 KiB 8c172008b7b10cfff102ebbfb49c347c5b45475f6f3f43d5b8cc85fb4ef21934

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.