scipy 1.10.1-10 source package in Ubuntu

Changelog

scipy (1.10.1-10) unstable; urgency=medium

  * Team upload.
  * rewrite link_atomics_PR17777.patch to only test __atomic_add_fetch
    and drop __atomic_load_n. PR#17777 had actually already been
    applied, but gcc on armel does not define __atomic_load_n.
    see upstream issue #19982.

 -- Drew Parsons <email address hidden>  Sun, 28 Jan 2024 14:08:13 +0100

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 Pocket Published Component Section

Downloads

File Size SHA-256 Checksum
scipy_1.10.1-10.dsc 3.1 KiB 980446fdc77da66c8537b0dd0a79a6a7149e1adf0cec726322d2f8b463b14701
scipy_1.10.1.orig-submodules.tar.gz 18.1 MiB e8fa37c387daee743ccdfcec4e35ced286f87cfe37d6694c43cb8e027bac7bac
scipy_1.10.1.orig.tar.gz 23.5 MiB 8f08e1742c9b09eb58640fa5a56031d6e1844806899e883fbe7447ca86fe8c55
scipy_1.10.1-10.debian.tar.xz 38.1 KiB 7336ad18c2e53218558711e751d2402d6151ff86c2d3b240f6671119be2800c2

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