numba 0.57.1+dfsg-1 source package in Ubuntu
Changelog
numba (0.57.1+dfsg-1) unstable; urgency=medium
* New upstream release
* Refresh patches
* Update no-git-in-generate_lower_listing.patch for changed version key
* Configure intersphinx where available.
- Add python-doc as a build dependency
- Add ignore-unavailable-intersphinx.patch to point at local
object.inv files
* Add python3-setuptools to d/tests/control for a test dependency
* Remove a bunch of backported patches needed for Python 3.11 compatibility
* Refresh patches
* Skip 3 tests that fail on autopkgtests. They should be investigated though
-- Diane Trout <email address hidden> Tue, 30 May 2023 20:18:14 -0700
Upload details
- Uploaded by:
- Debian Science Team
- Uploaded to:
- Sid
- Original maintainer:
- Debian Science Team
- Architectures:
- any all
- Section:
- misc
- Urgency:
- Medium Urgency
See full publishing history Publishing
| Series | Published | Component | Section | |
|---|---|---|---|---|
| Mantic | proposed | universe | misc |
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| numba_0.57.1+dfsg-1.dsc | 2.4 KiB | d2f4ce3bc11f7091423e3600e8d4ca17e0b0e2772d282caed9130647519a2735 |
| numba_0.57.1+dfsg.orig.tar.xz | 1.8 MiB | 78cf0fa632001eb024f77ed58adebd5541b8dd1e2a9a6d236adc62575d9249c8 |
| numba_0.57.1+dfsg-1.debian.tar.xz | 16.4 KiB | d59ba25139a039c6bddae37a81c1473b48a8ab39d51e1df86213df6ac6547052 |
No changes file available.
Binary packages built by this source
- numba-doc: native machine code compiler for Python (docs)
Numba compiles native machine code instructions from Python programs at
runtime using the LLVM compiler infrastructure. Just-in-time compilation with
Numba could be easily employed by decorating individual computation intensive
functions in the Python code.
Numba could significantly speed up the performance of computations, and
optionally supports compilation to run on GPU processors through Nvidia's
CUDA platform.
It integrates well with the Python scientific software stack, and
especially recognizes Numpy arrays.
.
This package contains the documentation and examples.
- python3-numba: native machine code compiler for Python 3
Numba compiles native machine code instructions from Python programs at
runtime using the LLVM compiler infrastructure. It could be easily employed
by decorating individual computation intensive functions in the Python code.
Numba could significantly speed up the performance of computations, and
optionally supports compilation to run on GPU processors through Nvidia's
CUDA platform.
It integrates well with the Python scientific software stack, and
especially recognizes Numpy arrays.
.
This package contains the modules for Python 3.
- python3-numba-dbgsym: debug symbols for python3-numba
