delta/python-packages/numpy.git, branch pr/19857 github.com: numpy/numpy.git DOC: fix docstrings. 2021-10-08T22:23:04+00:00 Charles Harris charlesr.harris@gmail.com 2021-10-08T22:23:04+00:00 62ef72a62d924b8acd89862a8e19107564aef3a9 Hopefully fix the docstrings of percentile, nanpercentile, quantile, and nanquantile so that CircleCI passes. 
Hopefully fix the docstrings of percentile, nanpercentile,
quantile, and nanquantile so that CircleCI passes.
MAINT, ENH [#10736] Add interpolation methods to quantile 2021-10-06T17:19:12+00:00 abel aoun@cerfacs.fr 2021-09-02T14:34:42+00:00 0d6f55ebb664ab8b9c265a60d2f4333b19ffb062 - Added the missing linear interpolation methods. - Updated the existing unit tests. - Added pytest.mark.xfail for boolean arrays See - https://github.com/numpy/numpy/pull/19857#issuecomment-919258693 - https://github.com/numpy/numpy/issues/19154 
- Added the missing linear interpolation methods.
- Updated the existing unit tests.

- Added pytest.mark.xfail for boolean arrays
See
- https://github.com/numpy/numpy/pull/19857#issuecomment-919258693
- https://github.com/numpy/numpy/issues/19154
Merge pull request #19845 from seberg/make-nanfunc-test-more-specific 2021-09-08T01:05:08+00:00 Charles Harris charlesr.harris@gmail.com 2021-09-08T01:05:08+00:00 17c3a6b414a3e642abeb116ff71e97f9b6f2aab5 TST: Make nanfunc test ignore overflow instead of xfailing test 
TST: Make nanfunc test ignore overflow instead of xfailing test
 TST: Make nanfunc test ignore overflow instead of xfailing test 2021-09-07T22:55:41+00:00 Sebastian Berg sebastian@sipsolutions.net 2021-09-07T22:55:41+00:00 268e8e8853d4c17a0f95ca831630647c0b88557d This makes the test more precise, and I ran into having to broaden the xfails otherwise, because right now reduce-likes incorrectly faile to give floating point warnings (and I was fixing that). 
This makes the test more precise, and I ran into having to broaden
the xfails otherwise, because right now reduce-likes incorrectly
faile to give floating point warnings (and I was fixing that).
Merge pull request #19837 from numpy/dependabot/pip/hypothesis-6.18.0 2021-09-06T17:54:54+00:00 Charles Harris charlesr.harris@gmail.com 2021-09-06T17:54:54+00:00 1fe57b2427e20f466c254ed6a98a014d9a9e574e MAINT: Bump hypothesis from 6.17.3 to 6.18.0 
MAINT: Bump hypothesis from 6.17.3 to 6.18.0
 MAINT: Bump hypothesis from 6.17.3 to 6.18.0 2021-09-06T17:54:17+00:00 dependabot[bot] 49699333+dependabot[bot]@users.noreply.github.com 2021-09-06T17:54:17+00:00 63b4c8c99a06bf3acd457fafdd954b784fda8bda Bumps [hypothesis](https://github.com/HypothesisWorks/hypothesis) from 6.17.3 to 6.18.0. - [Release notes](https://github.com/HypothesisWorks/hypothesis/releases) - [Commits](https://github.com/HypothesisWorks/hypothesis/compare/hypothesis-python-6.17.3...hypothesis-python-6.18.0) --- updated-dependencies: - dependency-name: hypothesis dependency-type: direct:production update-type: version-update:semver-minor ... Signed-off-by: dependabot[bot] <support@github.com> 
Bumps [hypothesis](https://github.com/HypothesisWorks/hypothesis) from 6.17.3 to 6.18.0.
- [Release notes](https://github.com/HypothesisWorks/hypothesis/releases)
- [Commits](https://github.com/HypothesisWorks/hypothesis/compare/hypothesis-python-6.17.3...hypothesis-python-6.18.0)

---
updated-dependencies:
- dependency-name: hypothesis
  dependency-type: direct:production
  update-type: version-update:semver-minor
...

Signed-off-by: dependabot[bot] <support@github.com>
 Merge pull request #19838 from numpy/dependabot/pip/pytest-6.2.5 2021-09-06T17:53:37+00:00 Charles Harris charlesr.harris@gmail.com 2021-09-06T17:53:37+00:00 d708ec3d6980cb46d0b566a2757c908b0cf16422 MAINT: Bump pytest from 6.2.4 to 6.2.5 
MAINT: Bump pytest from 6.2.4 to 6.2.5
 MAINT: Bump pytest from 6.2.4 to 6.2.5 2021-09-06T17:05:21+00:00 dependabot[bot] 49699333+dependabot[bot]@users.noreply.github.com 2021-09-06T17:05:21+00:00 786a42d979d4eeadade63c7ff092d0454d8f4171 Bumps [pytest](https://github.com/pytest-dev/pytest) from 6.2.4 to 6.2.5. - [Release notes](https://github.com/pytest-dev/pytest/releases) - [Changelog](https://github.com/pytest-dev/pytest/blob/main/CHANGELOG.rst) - [Commits](https://github.com/pytest-dev/pytest/compare/6.2.4...6.2.5) --- updated-dependencies: - dependency-name: pytest dependency-type: direct:production update-type: version-update:semver-patch ... Signed-off-by: dependabot[bot] <support@github.com> 
Bumps [pytest](https://github.com/pytest-dev/pytest) from 6.2.4 to 6.2.5.
- [Release notes](https://github.com/pytest-dev/pytest/releases)
- [Changelog](https://github.com/pytest-dev/pytest/blob/main/CHANGELOG.rst)
- [Commits](https://github.com/pytest-dev/pytest/compare/6.2.4...6.2.5)

---
updated-dependencies:
- dependency-name: pytest
  dependency-type: direct:production
  update-type: version-update:semver-patch
...

Signed-off-by: dependabot[bot] <support@github.com>
 Merge pull request #19821 from BvB93/nanfunctions 2021-09-05T23:32:30+00:00 Charles Harris charlesr.harris@gmail.com 2021-09-05T23:32:30+00:00 b3a66e88b005c4ca783c11e5d934451b7ca72477 BUG: Fixed an issue wherein certain `nan<x>` functions could fail for object arrays 
BUG: Fixed an issue wherein certain `nan<x>` functions could fail for object arrays
 MAINT: Let `_remove_nan_1d` attempt to identify nan-containing object arrays 2021-09-05T21:46:34+00:00 Bas van Beek b.f.van.beek@vu.nl 2021-09-05T21:46:34+00:00 ecba7133ffef32b817d53bcb2ceeb3113b37bb07 Use the same approach as in numpy/numpy#9013 
Use the same approach as in numpy/numpy#9013