scipy 1.12.0-2 source package in Ubuntu
Changelog
scipy (1.12.0-2) unstable; urgency=medium * hppa: skip test_QRVS_shape_consistency[NumericalInversePolynomial] * Standards-Version: 4.7.0 -- Drew Parsons <email address hidden> Mon, 03 Jun 2024 18:05:55 +0200
Upload details
- Uploaded by:
- Debian Python Team
- Uploaded to:
- Sid
- Original maintainer:
- Debian Python Team
- Architectures:
- any all
- Section:
- misc
- Urgency:
- Medium Urgency
See full publishing history Publishing
Series | Published | Component | Section |
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Downloads
File | Size | SHA-256 Checksum |
---|---|---|
scipy_1.12.0-2.dsc | 3.2 KiB | 002a40884dcf1f5881af4cf4af6a58330b1dc67d2025da6c7ddeabaa122ba444 |
scipy_1.12.0.orig-submodules.tar.gz | 31.0 MiB | 10de224a42f0c5d15af7c442f79303bd2374e597f579584c98c90b329d7103b2 |
scipy_1.12.0.orig.tar.gz | 24.1 MiB | 2ade75a1993b703a4cbe43b32f531feb291918cfd6d220778e107cb50b3e0266 |
scipy_1.12.0-2.debian.tar.xz | 37.0 KiB | 0d7d14478d4c7fcda7a79f58fe3e20078300718798b5bf0c5b7c6db6b1d66463 |
Available diffs
- diff from 1.11.4-10 to 1.12.0-2 (1.3 MiB)
No changes file available.
Binary packages built by this source
- python-scipy-doc: scientific library for Python - documentation
SciPy supplements the popular NumPy module (python-numpy package), gathering a
variety of high level science and engineering modules together as a single
package.
.
SciPy is a set of Open Source scientific and numeric tools for Python. It
currently supports special functions, integration, ordinary differential
equation (ODE) solvers, gradient optimization, genetic algorithms, parallel
programming tools, an expression-to-C++ compiler for fast execution, and
others.
.
This package contains documentation for the SciPy library.
- python3-scipy: scientific tools for Python 3
SciPy supplements the popular NumPy module (python-numpy package), gathering a
variety of high level science and engineering modules together as a single
package.
.
SciPy is a set of Open Source scientific and numeric tools for Python. It
currently supports special functions, integration, ordinary differential
equation (ODE) solvers, gradient optimization, genetic algorithms, parallel
programming tools, an expression-to-C++ compiler for fast execution, and
others.
- python3-scipy-dbgsym: debug symbols for python3-scipy