Ubuntu
scipy package

scipy 1.10.1-4 source package in Ubuntu

Changelog

scipy (1.10.1-4) unstable; urgency=medium

  * Team upload.
  * x32: skip test_svd_random_state_2
  * i386, hurd-i386, x32: skip ellint_rg_xy0_ipp-ellint_rg_xy0, i.e.
    test_boost[<Data for elliprg: ellint_rg_xy0_ipp-ellint_rg_xy0>]
    at build-time on i386-related arches

 -- Drew Parsons <email address hidden>  Mon, 23 Oct 2023 15:26:15 +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_1.10.1-4.dsc 3.1 KiB 8a38b266b32d101b25ffdb14dc7a64edae4833f0e0b626df2e8a54ffa6976525
scipy_1.10.1.orig-submodules.tar.gz 18.1 MiB e8fa37c387daee743ccdfcec4e35ced286f87cfe37d6694c43cb8e027bac7bac
scipy_1.10.1.orig.tar.gz 23.5 MiB 8f08e1742c9b09eb58640fa5a56031d6e1844806899e883fbe7447ca86fe8c55
scipy_1.10.1-4.debian.tar.xz 37.3 KiB f15d43d911578c82af040b75f258548410d18cf305ed8ba23f6e27f803ef27ab

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