Skip to content

Latest commit

 

History

History
90 lines (53 loc) · 3.16 KB

CHANGES.md

File metadata and controls

90 lines (53 loc) · 3.16 KB
Raw

v0.14 - 2024-04-16

What's Changed

Fixed compatibility with Numpy 2.0 by bumping minimum required Python to 3.9 in #87 - this will ensure that the abi3 wheels are built for Python 3.9 with Numpy 2.0 instead of Python 3.8 with Numpy 1.x.

Full Changelog: https://github.com/astrofrog/fast-histogram/compare/v0.13...v0.14

v0.13 - 2024-04-16

What's Changed

The main change in this release is added support for Numpy 2.0.

Other Changes

  • Clean up test matrix by @pllim in #82
  • Use v1 workflow, not main by @pllim in #79
  • Fix link to benchmark plot in README by @pllim in #78
  • Add PyPI badge by @pllim in #75
  • Remove wheel from build requirements by @pllim in #74
  • Build against Numpy 2.0.0rc1 for Python>=3.9 by @astrofrog in #86

New Contributors

  • @pre-commit-ci made their first contribution in #70
  • @pllim made their first contribution in #82

Full Changelog: https://github.com/astrofrog/fast-histogram/compare/v0.12...v0.13

0.12 (2023-10-17)

  • Fix segmentation faults under various conditions. [#62, #66]

0.11 (2022-05-23)

  • Use Python limited API to produce forward-compatible wheels. [#56]

0.10 (2021-09-06)

  • Add function for histograms in arbitrarily high dimensions. [#54, #55]

0.9 (2020-05-24)

  • Fixed a bug that caused incorrect results in the weighted 1-d histogram and the weighted and unweighted 2-d histogram functions if using arrays with different layouts in memory. [#52]

0.8 (2020-01-07)

  • Fixed compatibility of test suite with latest version of the hypothesis package. [#40]

0.7 (2019-01-09)

  • Fix definition of numpy as a build-time dependency. [#36]

0.6 (2019-01-07)

  • Define numpy as a build-time dependency in pyproject.toml. [#33]
  • Release the GIL during calculations in C code. [#31]

0.5 (2018-09-26)

  • Fix bug that caused histograms of n-dimensional arrays to not be computed correctly. [#21]
  • Avoid memory copies for non-native endian 64-bit float arrays. [#18]
  • Avoid memory copies for any numerical Numpy type and non-contiguous arrays. [#23]
  • Raise a better error if arrays are passed to the bins argument. [#24]

0.4 (2018-02-12)

  • Make sure that Numpy is not required to run setup.py. [#15]
  • Fix installation on platforms with an ASCII locale. [#15]

0.3 (2017-10-28)

  • Use long instead of int for x/y sizes and indices
  • Implement support for weights= option

0.2.1 (2017-07-18)

  • Fixed rst syntax in README

0.2 (2017-07-18)

  • Fixed segmentation fault under certain conditions.
  • Ensure that arrays are C-contiguous before passing them to the C code.

0.1 (2017-07-18)

  • Initial version