Sourced from numpy's releases.

v1.22.0

NumPy 1.22.0 Release Notes

NumPy 1.22.0 is a big release featuring the work of 153 contributors spread over 609 pull requests. There have been many improvements, highlights are:

• Annotations of the main namespace are essentially complete. Upstream is a moving target, so there will likely be further improvements, but the major work is done. This is probably the most user visible enhancement in this release.
• A preliminary version of the proposed Array-API is provided. This is a step in creating a standard collection of functions that can be used across application such as CuPy and JAX.
• NumPy now has a DLPack backend. DLPack provides a common interchange format for array (tensor) data.
• New methods for quantile, percentile, and related functions. The new methods provide a complete set of the methods commonly found in the literature.
• A new configurable allocator for use by downstream projects.

These are in addition to the ongoing work to provide SIMD support for commonly used functions, improvements to F2PY, and better documentation.

The Python versions supported in this release are 3.8-3.10, Python 3.7 has been dropped. Note that 32 bit wheels are only provided for Python 3.8 and 3.9 on Windows, all other wheels are 64 bits on account of Ubuntu, Fedora, and other Linux distributions dropping 32 bit support. All 64 bit wheels are also linked with 64 bit integer OpenBLAS, which should fix the occasional problems encountered by folks using truly huge arrays.

Expired deprecations

Deprecated numeric style dtype strings have been removed

Using the strings "Bytes0", "Datetime64", "Str0", "Uint32", and "Uint64" as a dtype will now raise a TypeError.

(gh-19539)

Expired deprecations for loads, ndfromtxt, and mafromtxt in npyio

numpy.loads was deprecated in v1.15, with the recommendation that users use pickle.loads instead. ndfromtxt and mafromtxt were both deprecated in v1.17 - users should use numpy.genfromtxt instead with the appropriate value for the usemask parameter.

(gh-19615)

... (truncated)

• 4adc87d Merge pull request #20685 from charris/prepare-for-1.22.0-release
• fd66547 REL: Prepare for the NumPy 1.22.0 release.
• 125304b wip
• c283859 Merge pull request #20682 from charris/backport-20416
• 5399c03 Merge pull request #20681 from charris/backport-20954
• f9c45f8 Merge pull request #20680 from charris/backport-20663
• 794b36f Update armccompiler.py
• d93b14e Update test_public_api.py
• 7662c07 Update init.py
• 311ab52 Update armccompiler.py
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Sourced from jinja2's releases.

2.11.3

This contains a fix for a speed issue with the urlize filter. urlize is likely to be called on untrusted user input. For certain inputs some of the regular expressions used to parse the text could take a very long time due to backtracking. As part of the fix, the email matching became slightly stricter. The various speedups apply to urlize in general, not just the specific input cases.

• PyPI: https://pypi.org/project/Jinja2/2.11.3/
• Changes: https://jinja.palletsprojects.com/en/2.11.x/changelog/#version-2-11-3

Sourced from jinja2's changelog.

Version 2.11.3

Released 2021-01-31

• Improve the speed of the urlize filter by reducing regex backtracking. Email matching requires a word character at the start of the domain part, and only word characters in the TLD. :pr:1343

• cf21539 release version 2.11.3
• 15ef8f0 Merge pull request #1343 from pallets/urlize-speedup
• ef658dc speed up urlize matching
• eeca0fe Merge pull request #1207 from mhansen/patch-1
• 2dd7691 Merge pull request #1209 from mhansen/patch-3
• 4892940 do_dictsort: update example ready to copy/paste
• 7db7d33 api.rst: bugfix in docs, import PackageLoader
• 9ec465b fix changelog header
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