Numpy-minmax

Latest version: v0.3.1

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0.3.1

Changes

* Optimize (with AVX) the processing of contiguous int16 arrays. ~2.3x speedup compared to 0.3.0

0.3.0

Added

* Distribute source

Changes

* Add support for ARM (without NEON optimizations for now) on Linux and macOS
* Update supported numpy version range to >=1.21,<2

0.2.1

Changes

* Add support for AVX512. It will only be used if the CPU reports that it supports it.
* Compile builds for linux with clang instead of gcc, as this seems to yield tiny performance improvements

0.2.0

Changes

* Add support for Python 3.12
* Significantly speed up the processing of 1-dimensional strided arrays
* Slightly speed up the processing of ndarrays with at least 16 items

0.1.1

Changes

* Slightly speed up the processing of 2D arrays
* Speed up the processing of arrays with ndim > 2
* Speed up the processing of F-contiguous ndarrays

0.1.0

Initial release

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