10000 Merge pull request #20557 from charris/prepare-for-1.22.0rc2-release · rjeb/numpy@0bbe787 · GitHub
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Merge pull request numpy#20557 from charris/prepare-for-1.22.0rc2-release
REL: Prepare for the NumPy 1.22.0rc2 release.
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‎doc/changelog/1.22.0-changelog.rst

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Pull requests merged
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====================
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A total of 587 pull requests were merged for this release.
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A total of 589 pull requests were merged for this release.
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* `#15847 <https://github.com/numpy/numpy/pull/15847>`__: BUG: avoid infinite recurrence on dependencies in crackfortran
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* `#16740 <https://github.com/numpy/numpy/pull/16740>`__: ENH: Add broadcast support to Generator.multinomial
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* `#20535 <https://github.com/numpy/numpy/pull/20535>`__: BUG: Fix reduce promotion with out argument
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* `#20538 <https://github.com/numpy/numpy/pull/20538>`__: BUG: Fix handling of the dtype parameter to numpy.array_api.prod()
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* `#20539 <https://github.com/numpy/numpy/pull/20539>`__: PERF: Fix performance bug in dispatching cache
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* `#20541 <https://github.com/numpy/numpy/pull/20541>`__: REL: Prepare for NumPy 1.22.0rc2 release.
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* `#20548 <https://github.com/numpy/numpy/pull/20548>`__: REV: Revert adding a default ufunc promoter

‎doc/source/release/1.22.0-notes.rst

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NumPy 1.22.0 Release Notes
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==========================
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NumPy 1.22.0 is a big release featuring the work of 151 contributers spread
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over 587 pull requests. There have been many improvements, highlights are:
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over 589 pull requests. There have been many improvements, highlights are:
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* Annotations of the main namespace are essentially complete. Upstream is a
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moving target, so there will likely be further improvements, but the major
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dropped. Note that 32 bit wheels are only provided for Python 3.8 and 3.9 on
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Windows, all other wheels are 64 bits on account of Ubuntu, Fedora, and other
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Linux distributions dropping 32 bit support. All 64 bit wheels are also linked
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with 64 bit OpenBLAS, which should fix the occasional problems encountered by
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folks using truly huge arrays.
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with 64 bit integer OpenBLAS, which should fix the occasional problems
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encountered by folks using truly huge arrays.
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Expired deprecations

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