scipy 1.8.1-14 source package in Ubuntu

Changelog

scipy (1.8.1-14) unstable; urgency=medium

  * Team upload.
  * debian/tests: skip all test_complex* tests on i386 with blis
  * once again drop pythran support on armhf.
    Still causes many packages to fail tests even after revised
    version of PR16646 (possibly due to memory exhaustion?)

 -- Drew Parsons <email address hidden>  Thu, 08 Sep 2022 16:01:54 +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 Pocket Published Component Section

Downloads

File Size SHA-256 Checksum
scipy_1.8.1-14.dsc 2.7 KiB 2f84c65cabf7a74768a8fb34ada1cd33a6fec1b0848c3adc7b5a22f8acd25f76
scipy_1.8.1.orig.tar.xz 27.3 MiB 0140dd24d14ce194fdb3df496c2190f0896ca84ac98bf5d69c3b3fb7bde1a1e9
scipy_1.8.1-14.debian.tar.xz 27.8 KiB 6c325c3917f21287f12ce0865068827727f3b0ca8d3faa06332390546ab6c0e4

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