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Bump ml-dtypes from 0.2.0 to 0.5.3 - #33

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Bump ml-dtypes from 0.2.0 to 0.5.3#33
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dependabot/pip/ml-dtypes-0.5.3

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Bumps ml-dtypes from 0.2.0 to 0.5.3.

Release notes

Sourced from ml-dtypes's releases.

v0.5.3

  • NPY_NEEDS_PYAPI was removed from the dtype flags. This should improve the speed of array operations, but it does mean that values pickled using previous versions of ml_dtypes are incompatible with the current release and should be regenerated with the current release.
  • Wheels now support Python 3.14.
  • Wheels now support Windows 11 ARM.

v0.5.2 release

This is a minor change over v0.5.1. This release reverts the addition of Power wheels, which caused problems with our wheel release process.

Due to an oversight during the release process, the wheels from this release report themselves as v0.5.1. The only difference between the two is the lack of Power wheels.

v0.5.1 release

  • Fixed sign bit handling for float4 and float6 types.
  • Wheels now support Python 3.13 free-threading.
  • Wheels now support the Power architecture.

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.

... (truncated)

Changelog

Sourced from ml-dtypes's changelog.

[0.5.3] - 2025-07-29

  • NPY_NEEDS_PYAPI was removed from the dtype flags. This should improve the speed of array operations, but it does mean that values pickled using previous versions of ml_dtypes are incompatible with the current release and should be regenerated with the current release.
  • Wheels now support Python 3.14.
  • Wheels now support Windows 11 ARM.

[0.5.2] - 2025-01-31

  • Dropped support for Power wheels again. These turned out to cause problems in our release process. We will consider readding these if NumPy ships Power wheels.
  • Fixed GCC compilation issues related to ambiguous casts.

[0.5.1] - 2025-01-06

  • Fixed sign bit handling for float4 and float6 types.
  • Wheels now support Python 3.13 free-threading.
  • Wheels now support the Power architecture.

[0.5.0] - 2024-09-13

  • 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.

[0.4.1] - 2024-09-13

  • Updates build requirements to use NumPy 2.0 release

[0.4.0] - 2024-04-1

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

[0.4.0b1] - 2024-03-12

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

[0.3.2] - 2024-01-03

  • Fixed spurious invalid value warnings when casting between floating point types on Mac ARM.

... (truncated)

Commits
  • 998e58a Merge pull request #306 from hawkinsp:release
  • 21415dd Prepare for 0.5.3 release.
  • 2c6adf8 Merge pull request #303 from jakevdp:fix-pyproject
  • db18c3c pyproject.toml: update to PEP 639 license specification
  • 923b43f Merge pull request #304 from jakevdp:windows-ci
  • 088a4d2 CI: update windows runs to windows-2022
  • e93030b Merge pull request #296 from jakevdp:actions-permissions
  • eeb0190 github actions: security best practices
  • cdf7e37 Merge pull request #295 from jax-ml:dependabot/pip/setuptools-approx-eq-80.8.0
  • e0a0416 Update setuptools requirement from ~=80.7.1 to ~=80.8.0
  • Additional commits viewable in compare view

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Note
Automatic rebases have been disabled on this pull request as it has been open for over 30 days.

Bumps [ml-dtypes](https://github.com/jax-ml/ml_dtypes) from 0.2.0 to 0.5.3.
- [Release notes](https://github.com/jax-ml/ml_dtypes/releases)
- [Changelog](https://github.com/jax-ml/ml_dtypes/blob/main/CHANGELOG.md)
- [Commits](jax-ml/ml_dtypes@v0.2.0...v0.5.3)

---
updated-dependencies:
- dependency-name: ml-dtypes
  dependency-version: 0.5.3
  dependency-type: direct:production
  update-type: version-update:semver-minor
...

Signed-off-by: dependabot[bot] <support@github.com>
@dependabot dependabot Bot added dependencies Pull requests that update a dependency file python Pull requests that update python code labels Nov 1, 2025
@dependabot @github

dependabot Bot commented on behalf of github Apr 1, 2026

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Superseded by #37.

@dependabot dependabot Bot closed this Apr 1, 2026
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dependabot Bot deleted the dependabot/pip/ml-dtypes-0.5.3 branch April 1, 2026 01:57
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