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databrickslabs / dbldatagen

Generate relevant synthetic data quickly for your projects. The Databricks Labs synthetic data generator (aka `dbldatagen`) may be used to generate large simulated / synthetic data sets for test, POCs, and other uses in Databricks environments including in Delta Live Tables pipelines
https://databrickslabs.github.io/dbldatagen
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Bump numpy from 1.20.3 to 1.21.0 #102

Closed dependabot[bot] closed 2 years ago

dependabot[bot] commented 2 years ago

Bumps numpy from 1.20.3 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: 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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codecov[bot] commented 2 years ago

Codecov Report

Merging #102 (b6b786b) into master (9e0d1cf) will not change coverage. The diff coverage is n/a.

Impacted file tree graph

@@           Coverage Diff           @@
##           master     #102   +/-   ##
=======================================
  Coverage   83.70%   83.70%           
=======================================
  Files          22       22           
  Lines        2154     2154           
  Branches      366      366           
=======================================
  Hits         1803     1803           
  Misses        250      250           
  Partials      101      101

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