Release 2.1.1

This is a feature, bug fix, and code clean-up release. This release adds two new bit generators, Tyche and Squares.

• Fix a small packaging error in 2.1.0 that skipped two files used in tests
• Added the Tyche PRNG of Neves and Araujo. Supports two variants. One is the original implementation in the 2012 paper. The second implementation matches the version in OpenRand.
• Added the Squares PRNG of Widynski. Supports two variants. The default uses 5 rounds of the middle square algorithm and outputs a 64-bit value. If variant=32, then 4 rounds are used but only 32 bits returned.
• Added the helper function squares.generate_keys for Squares. This function can be used to pre-generate keys for use with Squares.
• Fixed a bug in LCG128Mix that resulted in inc not being correctly set when initialized without a user-provided inc.
• Refactored the broadcasting helper functions out of randomgen.common to randomgen.broadcast. Tests have been added and some edge case bugs have been found and fixed.
• Improve test coverage.
• Additional code clean-up.

Release 2.1.0

This is a feature, bug fix, and code clean-up release. This release adds two new bit generators, Tyche and Squares.

• Added the Tyche PRNG of Neves and Araujo. Supports two variants. One is the original implementation in the 2012 paper. The second implementation matches the version in OpenRand.
• Added the Squares PRNG of Widynski. Supports two variants. The default uses 5 rounds of the middle square algorithm and outputs a 64-bit value. If variant=32, then 4 rounds are used but only 32 bits returned.
• Added the helper function squares.generate_keys for Squares. This function can be used to pre-generate keys for use with Squares.
• Fixed a bug in LCG128Mix that resulted in inc not being correctly set when initialized without a user-provided inc.
• Refactored the broadcasting helper functions out of randomgen.common to randomgen.broadcast. Tests have been added and some edge case bugs have been found and fixed.
• Improve test coverage.
• Additional code clean-up.

Release 2.0.1

The release fixes a packaging issue that resulted in an excessively large source distribution. There are no changes from 2.0.0 other than the reduced sdist size on PyPI.

Release 2.0.0

The randomgen devs are please to announce the release of randomgen 2.0.0.

The key changes in this release:

• Final compatibility with NumPy 2
• Minimum NumPy is now 1.22.3.
• Removed "legacy" seeding in favor of using numpy.random.SeedSequence.
• Removed the vendored copy of SeedSequence.
• Deprecated using the mode keyword argument to set the seed mode, since only SeedSequences are supported.
• Changed randomgen.common.BitGenerator to inherit from numpy.random.BitGenerator so that
  numpy will recognize these as BitGenerators.
• Removed C distribution functions that are available in NumPy (see libnpyrandom)`.
• General code cleanup and modernization.

Release 1.26.1

This is a compatibility release.

• Support for Cython 3
• Initial support for NumPy 2

Release 1.26.0

• Fixed a bug that affected the jumped method of Xoroshiro128 where the ** version was swapped with the standard version.
• Fixed a bug where SeedSequence was not copied when advancing generators using jumped.
• Small compatibility fixes for change in NumPy.
• Changes the documentation theme to sphinx-immaterial.
• Added builds for Python 3.11.
• Increased the minimum Python to 3.8.

Release 1.23.1

This release contains a single enhancement:

• Enable randomgen bit generators to be used with NumPy's Generator or RandomState.

Release 1.23.0

This is a major release that removes the deprecated classes Generator and RandomState.

Release 1.21.2

This is a minor release that fixes one bug that is hard to encounter and improves installation.

The one bug fix affects PCG-type generators advance when using Windows or a 32-bit system and advancing more than 2**64 steps.

Release 1.20.3

This release removed features not available in Python 3.6 so that the supported Pythons include 3.7 - 3.9.