nibabel 5.2.0-3 source package in Ubuntu
Changelog
nibabel (5.2.0-3) unstable; urgency=medium
* Team upload.
* Drop nisext which is appreciated by upstream to gain Python3.12
Closes: #1063588
* Add NEWS.Debian to inform users about dropped nisext
* Autopkgtest for all supported Python3 versions
* rename debian/NEWS.Debian debian/NEWS (routine-update)
-- Andreas Tille <email address hidden> Mon, 12 Feb 2024 11:09:04 +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 | Published | Component | Section |
|---|
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| nibabel_5.2.0-3.dsc | 2.5 KiB | e83439c37e03d38137ad0470a0b0e87e13970cc35c6d758f4d096500117052f8 |
| nibabel_5.2.0.orig.tar.gz | 4.3 MiB | 629376d5bba753dea5f9b4e26a2a432f01897856751459876da45349498de3af |
| nibabel_5.2.0-3.debian.tar.xz | 12.1 KiB | 3e9c94f53f55e836cb6c3f2075fdbeafdd2348671286751073d1ecbb3b7a9732 |
Available diffs
- diff from 5.2.0-2 to 5.2.0-3 (1.7 KiB)
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.
