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Bump numpy from 1.15.4 to 1.21.0 - #14

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Bumps numpy from 1.15.4 to 1.21.0.

Release notes

Sourced from numpy's releases.

v1.21.0

NumPy 1.21.0 Release Notes

The NumPy 1.21.0 release highlights are

  • continued SIMD work covering more functions and platforms,
  • initial work on the new dtype infrastructure and casting,
  • universal2 wheels for Python 3.8 and Python 3.9 on Mac,
  • improved documentation,
  • improved annotations,
  • new PCG64DXSM bitgenerator for random numbers.

In addition there are the usual large number of bug fixes and other improvements.

The Python versions supported for this release are 3.7-3.9. Official support for Python 3.10 will be added when it is released.

⚠️ Warning: there are unresolved problems compiling NumPy 1.21.0 with gcc-11.1 .

  • Optimization level -O3 results in many wrong warnings when running the tests.
  • On some hardware NumPy will hang in an infinite loop.

New functions

Add PCG64DXSM BitGenerator

Uses of the PCG64 BitGenerator in a massively-parallel context have been shown to have statistical weaknesses that were not apparent at the first release in numpy 1.17. Most users will never observe this weakness and are safe to continue to use PCG64. We have introduced a new PCG64DXSM BitGenerator that will eventually become the new default BitGenerator implementation used by default_rng in future releases. PCG64DXSM solves the statistical weakness while preserving the performance and the features of PCG64.

See upgrading-pcg64 for more details.

(gh-18906)

Expired deprecations

  • The shape argument numpy.unravel_index cannot be passed as dims keyword argument anymore. (Was deprecated in NumPy 1.16.)

... (truncated)

Commits
  • b235f9e Merge pull request #19283 from charris/prepare-1.21.0-release
  • 34aebc2 MAINT: Update 1.21.0-notes.rst
  • 493b64b MAINT: Update 1.21.0-changelog.rst
  • 07d7e72 MAINT: Remove accidentally created directory.
  • 032fca5 Merge pull request #19280 from charris/backport-19277
  • 7d25b81 BUG: Fix refcount leak in ResultType
  • fa5754e BUG: Add missing DECREF in new path
  • 61127bb Merge pull request #19268 from charris/backport-19264
  • 143d45f Merge pull request #19269 from charris/backport-19228
  • d80e473 BUG: Removed typing for == and != in dtypes
  • Additional commits viewable in compare view

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Bump numpy from 1.15.4 to 1.21.0
34a3b3e
Bumps [numpy](https://github.com/numpy/numpy) from 1.15.4 to 1.21.0.
- [Release notes](https://github.com/numpy/numpy/releases)
- [Changelog](https://github.com/numpy/numpy/blob/main/doc/HOWTO_RELEASE.rst.txt)
- [Commits](numpy/numpy@v1.15.4...v1.21.0)
---
updated-dependencies:
- dependency-name: numpy
dependency-type: direct:production
...
Signed-off-by: dependabot[bot] <support@github.com>
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Superseded by #23.

@dependabotdependabotBot closed this Jun 22, 2022
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Bump numpy from 1.15.4 to 1.21.0 by dependabot[bot] · Pull Request #14 · sprillo/softsort · GitHub
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Bump numpy from 1.15.4 to 1.21.0 - #14
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Bumps numpy from 1.15.4 to 1.21.0.
Release notes
Sourced from numpy's releases.
v1.21.0
NumPy 1.21.0 Release Notes
The NumPy 1.21.0 release highlights are
  • continued SIMD work covering more functions and platforms,
  • initial work on the new dtype infrastructure and casting,
  • universal2 wheels for Python 3.8 and Python 3.9 on Mac,
  • improved documentation,
  • improved annotations,
  • new PCG64DXSM bitgenerator for random numbers.
In addition there are the usual large number of bug fixes and other
improvements.
The Python versions supported for this release are 3.7-3.9. Official
support for Python 3.10 will be added when it is released.
⚠️ Warning: there are unresolved problems compiling NumPy 1.21.0 with gcc-11.1 .
  • Optimization level -O3 results in many wrong warnings when running the tests.
  • On some hardware NumPy will hang in an infinite loop.
New functions
Add PCG64DXSM BitGenerator
Uses of the PCG64 BitGenerator in a massively-parallel context have
been shown to have statistical weaknesses that were not apparent at the
first release in numpy 1.17. Most users will never observe this weakness
and are safe to continue to use PCG64. We have introduced a new
PCG64DXSM BitGenerator that will eventually become the new default
BitGenerator implementation used by default_rng in future releases.
PCG64DXSM solves the statistical weakness while preserving the
performance and the features of PCG64.
See upgrading-pcg64 for more details.
(gh-18906)
Expired deprecations
  • The shape argument numpy.unravel_index cannot be
passed as dims keyword argument anymore. (Was deprecated in NumPy
1.16.)
... (truncated)
Commits
  • b235f9e Merge pull request #19283 from charris/prepare-1.21.0-release
  • 34aebc2 MAINT: Update 1.21.0-notes.rst
  • 493b64b MAINT: Update 1.21.0-changelog.rst
  • 07d7e72 MAINT: Remove accidentally created directory.
  • 032fca5 Merge pull request #19280 from charris/backport-19277
  • 7d25b81 BUG: Fix refcount leak in ResultType
  • fa5754e BUG: Add missing DECREF in new path
  • 61127bb Merge pull request #19268 from charris/backport-19264
  • 143d45f Merge pull request #19269 from charris/backport-19228
  • d80e473 BUG: Removed typing for == and != in dtypes
  • Additional commits viewable in compare view

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Bump numpy from 1.15.4 to 1.21.0
34a3b3e
Bumps [numpy](https://github.com/numpy/numpy) from 1.15.4 to 1.21.0.
- [Release notes](https://github.com/numpy/numpy/releases)
- [Changelog](https://github.com/numpy/numpy/blob/main/doc/HOWTO_RELEASE.rst.txt)
- [Commits](numpy/numpy@v1.15.4...v1.21.0)
---
updated-dependencies:
- dependency-name: numpy
dependency-type: direct:production
...
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Superseded by #23.
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Bump numpy from 1.15.4 to 1.21.0 by dependabot[bot] · Pull Request #14 · sprillo/softsort · GitHub
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Bump numpy from 1.15.4 to 1.21.0 - #14
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Bumps numpy from 1.15.4 to 1.21.0.
Release notes
Sourced from numpy's releases.
v1.21.0
NumPy 1.21.0 Release Notes
The NumPy 1.21.0 release highlights are
  • continued SIMD work covering more functions and platforms,
  • initial work on the new dtype infrastructure and casting,
  • universal2 wheels for Python 3.8 and Python 3.9 on Mac,
  • improved documentation,
  • improved annotations,
  • new PCG64DXSM bitgenerator for random numbers.
In addition there are the usual large number of bug fixes and other
improvements.
The Python versions supported for this release are 3.7-3.9. Official
support for Python 3.10 will be added when it is released.
⚠️ Warning: there are unresolved problems compiling NumPy 1.21.0 with gcc-11.1 .
  • Optimization level -O3 results in many wrong warnings when running the tests.
  • On some hardware NumPy will hang in an infinite loop.
New functions
Add PCG64DXSM BitGenerator
Uses of the PCG64 BitGenerator in a massively-parallel context have
been shown to have statistical weaknesses that were not apparent at the
first release in numpy 1.17. Most users will never observe this weakness
and are safe to continue to use PCG64. We have introduced a new
PCG64DXSM BitGenerator that will eventually become the new default
BitGenerator implementation used by default_rng in future releases.
PCG64DXSM solves the statistical weakness while preserving the
performance and the features of PCG64.
See upgrading-pcg64 for more details.
(gh-18906)
Expired deprecations
  • The shape argument numpy.unravel_index cannot be
passed as dims keyword argument anymore. (Was deprecated in NumPy
1.16.)
... (truncated)
Commits
  • b235f9e Merge pull request #19283 from charris/prepare-1.21.0-release
  • 34aebc2 MAINT: Update 1.21.0-notes.rst
  • 493b64b MAINT: Update 1.21.0-changelog.rst
  • 07d7e72 MAINT: Remove accidentally created directory.
  • 032fca5 Merge pull request #19280 from charris/backport-19277
  • 7d25b81 BUG: Fix refcount leak in ResultType
  • fa5754e BUG: Add missing DECREF in new path
  • 61127bb Merge pull request #19268 from charris/backport-19264
  • 143d45f Merge pull request #19269 from charris/backport-19228
  • d80e473 BUG: Removed typing for == and != in dtypes
  • Additional commits viewable in compare view

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Bump numpy from 1.15.4 to 1.21.0
34a3b3e
Bumps [numpy](https://github.com/numpy/numpy) from 1.15.4 to 1.21.0.
- [Release notes](https://github.com/numpy/numpy/releases)
- [Changelog](https://github.com/numpy/numpy/blob/main/doc/HOWTO_RELEASE.rst.txt)
- [Commits](numpy/numpy@v1.15.4...v1.21.0)
---
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dependency-type: direct:production
...
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Superseded by #23.
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Bump numpy from 1.15.4 to 1.21.0 by dependabot[bot] · Pull Request #14 · sprillo/softsort · GitHub
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Bump numpy from 1.15.4 to 1.21.0 - #14
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Bumps numpy from 1.15.4 to 1.21.0.
Release notes
Sourced from numpy's releases.
v1.21.0
NumPy 1.21.0 Release Notes
The NumPy 1.21.0 release highlights are
  • continued SIMD work covering more functions and platforms,
  • initial work on the new dtype infrastructure and casting,
  • universal2 wheels for Python 3.8 and Python 3.9 on Mac,
  • improved documentation,
  • improved annotations,
  • new PCG64DXSM bitgenerator for random numbers.
In addition there are the usual large number of bug fixes and other
improvements.
The Python versions supported for this release are 3.7-3.9. Official
support for Python 3.10 will be added when it is released.
⚠️ Warning: there are unresolved problems compiling NumPy 1.21.0 with gcc-11.1 .
  • Optimization level -O3 results in many wrong warnings when running the tests.
  • On some hardware NumPy will hang in an infinite loop.
New functions
Add PCG64DXSM BitGenerator
Uses of the PCG64 BitGenerator in a massively-parallel context have
been shown to have statistical weaknesses that were not apparent at the
first release in numpy 1.17. Most users will never observe this weakness
and are safe to continue to use PCG64. We have introduced a new
PCG64DXSM BitGenerator that will eventually become the new default
BitGenerator implementation used by default_rng in future releases.
PCG64DXSM solves the statistical weakness while preserving the
performance and the features of PCG64.
See upgrading-pcg64 for more details.
(gh-18906)
Expired deprecations
  • The shape argument numpy.unravel_index cannot be
passed as dims keyword argument anymore. (Was deprecated in NumPy
1.16.)
... (truncated)
Commits
  • b235f9e Merge pull request #19283 from charris/prepare-1.21.0-release
  • 34aebc2 MAINT: Update 1.21.0-notes.rst
  • 493b64b MAINT: Update 1.21.0-changelog.rst
  • 07d7e72 MAINT: Remove accidentally created directory.
  • 032fca5 Merge pull request #19280 from charris/backport-19277
  • 7d25b81 BUG: Fix refcount leak in ResultType
  • fa5754e BUG: Add missing DECREF in new path
  • 61127bb Merge pull request #19268 from charris/backport-19264
  • 143d45f Merge pull request #19269 from charris/backport-19228
  • d80e473 BUG: Removed typing for == and != in dtypes
  • Additional commits viewable in compare view

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Bump numpy from 1.15.4 to 1.21.0
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Bumps [numpy](https://github.com/numpy/numpy) from 1.15.4 to 1.21.0.
- [Release notes](https://github.com/numpy/numpy/releases)
- [Changelog](https://github.com/numpy/numpy/blob/main/doc/HOWTO_RELEASE.rst.txt)
- [Commits](numpy/numpy@v1.15.4...v1.21.0)
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Bump numpy from 1.15.4 to 1.21.0 by dependabot[bot] · Pull Request #14 · sprillo/softsort · GitHub
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Bumps numpy from 1.15.4 to 1.21.0.
Release notes
Sourced from numpy's releases.
v1.21.0
NumPy 1.21.0 Release Notes
The NumPy 1.21.0 release highlights are
  • continued SIMD work covering more functions and platforms,
  • initial work on the new dtype infrastructure and casting,
  • universal2 wheels for Python 3.8 and Python 3.9 on Mac,
  • improved documentation,
  • improved annotations,
  • new PCG64DXSM bitgenerator for random numbers.
In addition there are the usual large number of bug fixes and other
improvements.
The Python versions supported for this release are 3.7-3.9. Official
support for Python 3.10 will be added when it is released.
⚠️ Warning: there are unresolved problems compiling NumPy 1.21.0 with gcc-11.1 .
  • Optimization level -O3 results in many wrong warnings when running the tests.
  • On some hardware NumPy will hang in an infinite loop.
New functions
Add PCG64DXSM BitGenerator
Uses of the PCG64 BitGenerator in a massively-parallel context have
been shown to have statistical weaknesses that were not apparent at the
first release in numpy 1.17. Most users will never observe this weakness
and are safe to continue to use PCG64. We have introduced a new
PCG64DXSM BitGenerator that will eventually become the new default
BitGenerator implementation used by default_rng in future releases.
PCG64DXSM solves the statistical weakness while preserving the
performance and the features of PCG64.
See upgrading-pcg64 for more details.
(gh-18906)
Expired deprecations
  • The shape argument numpy.unravel_index cannot be
passed as dims keyword argument anymore. (Was deprecated in NumPy
1.16.)
... (truncated)
Commits
  • b235f9e Merge pull request #19283 from charris/prepare-1.21.0-release
  • 34aebc2 MAINT: Update 1.21.0-notes.rst
  • 493b64b MAINT: Update 1.21.0-changelog.rst
  • 07d7e72 MAINT: Remove accidentally created directory.
  • 032fca5 Merge pull request #19280 from charris/backport-19277
  • 7d25b81 BUG: Fix refcount leak in ResultType
  • fa5754e BUG: Add missing DECREF in new path
  • 61127bb Merge pull request #19268 from charris/backport-19264
  • 143d45f Merge pull request #19269 from charris/backport-19228
  • d80e473 BUG: Removed typing for == and != in dtypes
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Bump numpy from 1.15.4 to 1.21.0
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Bumps [numpy](https://github.com/numpy/numpy) from 1.15.4 to 1.21.0.
- [Release notes](https://github.com/numpy/numpy/releases)
- [Changelog](https://github.com/numpy/numpy/blob/main/doc/HOWTO_RELEASE.rst.txt)
- [Commits](numpy/numpy@v1.15.4...v1.21.0)
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Bump numpy from 1.15.4 to 1.21.0 by dependabot[bot] · Pull Request #14 · sprillo/softsort · GitHub
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Bumps numpy from 1.15.4 to 1.21.0.
Release notes
Sourced from numpy's releases.
v1.21.0
NumPy 1.21.0 Release Notes
The NumPy 1.21.0 release highlights are
  • continued SIMD work covering more functions and platforms,
  • initial work on the new dtype infrastructure and casting,
  • universal2 wheels for Python 3.8 and Python 3.9 on Mac,
  • improved documentation,
  • improved annotations,
  • new PCG64DXSM bitgenerator for random numbers.
In addition there are the usual large number of bug fixes and other
improvements.
The Python versions supported for this release are 3.7-3.9. Official
support for Python 3.10 will be added when it is released.
⚠️ Warning: there are unresolved problems compiling NumPy 1.21.0 with gcc-11.1 .
  • Optimization level -O3 results in many wrong warnings when running the tests.
  • On some hardware NumPy will hang in an infinite loop.
New functions
Add PCG64DXSM BitGenerator
Uses of the PCG64 BitGenerator in a massively-parallel context have
been shown to have statistical weaknesses that were not apparent at the
first release in numpy 1.17. Most users will never observe this weakness
and are safe to continue to use PCG64. We have introduced a new
PCG64DXSM BitGenerator that will eventually become the new default
BitGenerator implementation used by default_rng in future releases.
PCG64DXSM solves the statistical weakness while preserving the
performance and the features of PCG64.
See upgrading-pcg64 for more details.
(gh-18906)
Expired deprecations
  • The shape argument numpy.unravel_index cannot be
passed as dims keyword argument anymore. (Was deprecated in NumPy
1.16.)
... (truncated)
Commits
  • b235f9e Merge pull request #19283 from charris/prepare-1.21.0-release
  • 34aebc2 MAINT: Update 1.21.0-notes.rst
  • 493b64b MAINT: Update 1.21.0-changelog.rst
  • 07d7e72 MAINT: Remove accidentally created directory.
  • 032fca5 Merge pull request #19280 from charris/backport-19277
  • 7d25b81 BUG: Fix refcount leak in ResultType
  • fa5754e BUG: Add missing DECREF in new path
  • 61127bb Merge pull request #19268 from charris/backport-19264
  • 143d45f Merge pull request #19269 from charris/backport-19228
  • d80e473 BUG: Removed typing for == and != in dtypes
  • Additional commits viewable in compare view

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Bump numpy from 1.15.4 to 1.21.0
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Bumps [numpy](https://github.com/numpy/numpy) from 1.15.4 to 1.21.0.
- [Release notes](https://github.com/numpy/numpy/releases)
- [Changelog](https://github.com/numpy/numpy/blob/main/doc/HOWTO_RELEASE.rst.txt)
- [Commits](numpy/numpy@v1.15.4...v1.21.0)
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Bump numpy from 1.15.4 to 1.21.0 by dependabot[bot] · Pull Request #14 · sprillo/softsort · GitHub
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Bumps numpy from 1.15.4 to 1.21.0.
Release notes
Sourced from numpy's releases.
v1.21.0
NumPy 1.21.0 Release Notes
The NumPy 1.21.0 release highlights are
  • continued SIMD work covering more functions and platforms,
  • initial work on the new dtype infrastructure and casting,
  • universal2 wheels for Python 3.8 and Python 3.9 on Mac,
  • improved documentation,
  • improved annotations,
  • new PCG64DXSM bitgenerator for random numbers.
In addition there are the usual large number of bug fixes and other
improvements.
The Python versions supported for this release are 3.7-3.9. Official
support for Python 3.10 will be added when it is released.
⚠️ Warning: there are unresolved problems compiling NumPy 1.21.0 with gcc-11.1 .
  • Optimization level -O3 results in many wrong warnings when running the tests.
  • On some hardware NumPy will hang in an infinite loop.
New functions
Add PCG64DXSM BitGenerator
Uses of the PCG64 BitGenerator in a massively-parallel context have
been shown to have statistical weaknesses that were not apparent at the
first release in numpy 1.17. Most users will never observe this weakness
and are safe to continue to use PCG64. We have introduced a new
PCG64DXSM BitGenerator that will eventually become the new default
BitGenerator implementation used by default_rng in future releases.
PCG64DXSM solves the statistical weakness while preserving the
performance and the features of PCG64.
See upgrading-pcg64 for more details.
(gh-18906)
Expired deprecations
  • The shape argument numpy.unravel_index cannot be
passed as dims keyword argument anymore. (Was deprecated in NumPy
1.16.)
... (truncated)
Commits
  • b235f9e Merge pull request #19283 from charris/prepare-1.21.0-release
  • 34aebc2 MAINT: Update 1.21.0-notes.rst
  • 493b64b MAINT: Update 1.21.0-changelog.rst
  • 07d7e72 MAINT: Remove accidentally created directory.
  • 032fca5 Merge pull request #19280 from charris/backport-19277
  • 7d25b81 BUG: Fix refcount leak in ResultType
  • fa5754e BUG: Add missing DECREF in new path
  • 61127bb Merge pull request #19268 from charris/backport-19264
  • 143d45f Merge pull request #19269 from charris/backport-19228
  • d80e473 BUG: Removed typing for == and != in dtypes
  • Additional commits viewable in compare view

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Bump numpy from 1.15.4 to 1.21.0
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Bumps [numpy](https://github.com/numpy/numpy) from 1.15.4 to 1.21.0.
- [Release notes](https://github.com/numpy/numpy/releases)
- [Changelog](https://github.com/numpy/numpy/blob/main/doc/HOWTO_RELEASE.rst.txt)
- [Commits](numpy/numpy@v1.15.4...v1.21.0)
---
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Bump numpy from 1.15.4 to 1.21.0 by dependabot[bot] · Pull Request #14 · sprillo/softsort · GitHub
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Bump numpy from 1.15.4 to 1.21.0 - #14
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Bump numpy from 1.15.4 to 1.21.0#14
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Bumps numpy from 1.15.4 to 1.21.0.
Release notes
Sourced from numpy's releases.
v1.21.0
NumPy 1.21.0 Release Notes
The NumPy 1.21.0 release highlights are
  • continued SIMD work covering more functions and platforms,
  • initial work on the new dtype infrastructure and casting,
  • universal2 wheels for Python 3.8 and Python 3.9 on Mac,
  • improved documentation,
  • improved annotations,
  • new PCG64DXSM bitgenerator for random numbers.
In addition there are the usual large number of bug fixes and other
improvements.
The Python versions supported for this release are 3.7-3.9. Official
support for Python 3.10 will be added when it is released.
⚠️ Warning: there are unresolved problems compiling NumPy 1.21.0 with gcc-11.1 .
  • Optimization level -O3 results in many wrong warnings when running the tests.
  • On some hardware NumPy will hang in an infinite loop.
New functions
Add PCG64DXSM BitGenerator
Uses of the PCG64 BitGenerator in a massively-parallel context have
been shown to have statistical weaknesses that were not apparent at the
first release in numpy 1.17. Most users will never observe this weakness
and are safe to continue to use PCG64. We have introduced a new
PCG64DXSM BitGenerator that will eventually become the new default
BitGenerator implementation used by default_rng in future releases.
PCG64DXSM solves the statistical weakness while preserving the
performance and the features of PCG64.
See upgrading-pcg64 for more details.
(gh-18906)
Expired deprecations
  • The shape argument numpy.unravel_index cannot be
passed as dims keyword argument anymore. (Was deprecated in NumPy
1.16.)
... (truncated)
Commits
  • b235f9e Merge pull request #19283 from charris/prepare-1.21.0-release
  • 34aebc2 MAINT: Update 1.21.0-notes.rst
  • 493b64b MAINT: Update 1.21.0-changelog.rst
  • 07d7e72 MAINT: Remove accidentally created directory.
  • 032fca5 Merge pull request #19280 from charris/backport-19277
  • 7d25b81 BUG: Fix refcount leak in ResultType
  • fa5754e BUG: Add missing DECREF in new path
  • 61127bb Merge pull request #19268 from charris/backport-19264
  • 143d45f Merge pull request #19269 from charris/backport-19228
  • d80e473 BUG: Removed typing for == and != in dtypes
  • Additional commits viewable in compare view

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Bump numpy from 1.15.4 to 1.21.0
34a3b3e
Bumps [numpy](https://github.com/numpy/numpy) from 1.15.4 to 1.21.0.
- [Release notes](https://github.com/numpy/numpy/releases)
- [Changelog](https://github.com/numpy/numpy/blob/main/doc/HOWTO_RELEASE.rst.txt)
- [Commits](numpy/numpy@v1.15.4...v1.21.0)
---
updated-dependencies:
- dependency-name: numpy
dependency-type: direct:production
...
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Superseded by #23.
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