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Releases: IntelPython/mkl_random

1.3.1

17 Dec 03:51
7573490

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This release is identical to 2.1.1 in terms of features

This release only changes conda recipes and package metadata to release the mkl_random package with Python 3.14.

Added

  • Enabled support of Python 3.14 gh-79

v1.3.0

06 Oct 18:51
851daa2

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What's Changed

  • Used GIT_DESCRIBE_TAG and GIT_DESCRIBE_NUMBER in meta.yaml instead of manual stepping the numbers gh-75
  • Extended conda build scripts with the use of WHEELS_OUTPUT_FOLDER variable to build wheel packages gh-74
  • Updated meta.yaml to have a run dependency on numpy-base package gh-73

Contributors

Full Changelog: v1.2.11...1.3.0

v1.2.10

09 Apr 21:20
9cab66c

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This release

  • Adds support for mkl_random out-of-the-box from virtual environment on Windows

v1.2.8

12 Oct 00:48
0df7d04

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Incremental bug fix release: updated installation instructions, reverted work-around for a problem in MKL 2024.2.0

v1.2.7

05 Aug 11:22
e1ed130

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This release addresses technical debt, and fixes the project to work with NumPy 2.0 on both Windows and Linux.

  • Removed use of vendored numpy.pxd, replaced with recommended cimport numpy. This resolved the warning of changes struct size for Cython class broadcast.
  • Fixed warnings from clang compiler
  • Corrected data types for allocation made in Cython which were responsible for test failures with NumPy 2.0 on Windows.

v1.2.6

28 May 14:02
3b45998

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v1.2.6 Pre-release
Pre-release

This is a bug fix release updates mkl_random to support NumPy 2.0

v1.2.5

14 Feb 14:44
d02f447

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Transition testing suite to pytest to enable support for Python 3.12

v1.2.4

14 Sep 23:18

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Change to fix build on mkl_random with clang with new build system introduced in v1.2.3.

v1.2.3

05 Sep 13:36

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  • Modified example of parallel Monte-Carlo work to correctly work on Windows. (gh-26)
  • Transitioned away from using numpy.distutils as it went away in NumPy 1.25 (gh-24)

v1.2.2.post2

26 Aug 14:47
780fde9

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Update description for Pypi package installation

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