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.

Release 1.20.2

This is a bug fix and feature release. The highlights are:

• Fixed a bug in SFC64 the used the wrong value from the Weyl sequence.
• Added mode="numpy" where the sequence generated is guaranteed to match the sequence produced using the NumPy implementations.
• Added ExtendedGenerator.random with support for dtype="longdouble" to produce extended precision random floats.

Release 1.20.1

This is a feature and bugfix release.

Two new distributions:

• Wishart
• Multivariate Complex Normal

have been added to ExtendedGenerator. There is also one bug fix that can affect standard_gamma when using out.