nibabel 3.2.1-3 source package in Ubuntu
Changelog
nibabel (3.2.1-3) unstable; urgency=medium
* Team upload.
* Drop Build-Depends: python3-bz2file (addresses #987287, #1001201)
* Standards-Version: 4.6.0 (routine-update)
* debhelper-compat 13 (routine-update)
* Apply multi-arch hints.
+ python-nibabel-doc: Add Multi-Arch: foreign.
* watch file standard 4 (routine-update)
-- Andreas Tille <email address hidden> Tue, 14 Dec 2021 07:18:18 +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_3.2.1-3.dsc | 2.4 KiB | fdc1eadb34c5597afc42f4316f60f550a4e0b203479919b3845d422bf7bc4532 |
| nibabel_3.2.1.orig.tar.gz | 4.2 MiB | f2cef661e2d084704207de287bd3efc29dbd1693c1418d15582597f0f433c7f3 |
| nibabel_3.2.1-3.debian.tar.xz | 10.3 KiB | e996257a1334c9747a0b07a62d0347c94b05f84df19b749ecb47fdcce4d7b1d4 |
Available diffs
- diff from 3.2.1-2 to 3.2.1-3 (980 bytes)
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.
