v0.5.0 release

• Added new 8-bit float types following IEEE 754 convention:
  ml_dtypes.float8_e4m3, ml_dtypes.float8_e3m4
• Added the 8-bit floating point type ml_dtypes.float8_e8m0fnu, which is the
  OpenCompute MX scale format.
• Added new 4-bit and 6-bit float types:
  ml_dtypes.float4_e2m1fn, ml_dtypes.float6_e2m3fn and ml_dtypes.float6_e3m2fn.
• Fix outputs of float divmod and floor_divide when denominator is zero.

v0.4.1 release

• Updates build requirements to use NumPy 2.0 release

v0.4.0 release

• Updates ml_dtypes for compatibility with the upcoming NumPy 2.0 release.
• Wheels are built against NumPy 2.0.0rc1.

v0.4.0b1 pre-release

• Updates ml_dtypes for compatibility with future NumPy 2.0 release.
• Wheels for the release candidate are built against NumPy 2.0.0b1.

Version 0.3.2 release

• Fixed spurious invalid value warnings when casting between floating point
  types on Mac ARM.
• Remove pybind11 build requirement
• Update C++ sources for compatibility with NumPy 2.0

v0.3.1 release

• Added support for int4 casting to wider integers such as int8
• Added support to cast np.float32 and np.float64 into int4

Version 0.3.0 Release

• Dropped support for Python 3.8, following NEP 29.
• Added support for Python 3.12.
• Removed deprecated name ml_dtypes.float8_e4m3b11; use ml_dtypes.float8_e4m3b11fnuz instead.

v0.2.0 Release

Version 0.2.0 release

New features:

• added new 4-bit integer types: ml_dtypes.int4 and ml_dtypes.uint4

Deprecations:

• ml_dtypes.float8_e4m3b11 has been renamed to ml_dtypes.float8_e4m3b11fnuz for more
  consistency with other dtype names. The former name will still be available until
  version 0.3.0, but will raise a deprecation warning.

v0.1.0 release

Version 0.1.0 release.

v0.0.4 release

Version 0.0.4 release.