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authorFilip Trojan <f.trojan@centrum.cz>2021-02-12 17:47:55 +0100
committerGitHub <noreply@github.com>2021-02-12 09:47:55 -0700
commit7dcd29aaafe1ab8be4be04d3c793e5bcaf17459f (patch)
treed2dcbe5a6834d5f900e66ef50c660b412571d90c /numpy/lib/arraypad.py
parenta5dc2b5b917fc50575e10bbe139a0c78e43a1c1c (diff)
downloadnumpy-7dcd29aaafe1ab8be4be04d3c793e5bcaf17459f.tar.gz
BUG: Fix unique handling of nan entries. (#18070)
* benchmark bench_lib.Unique added * extended test_unique_1d * modify _unique1d * extend test with return_index, return_inverse and return_counts parameters * documentation updated * Update numpy/lib/arraysetops.py Co-authored-by: Bas van Beek <43369155+BvB93@users.noreply.github.com> * full coverage of nan types Co-authored-by: Bas van Beek <43369155+BvB93@users.noreply.github.com> * added tests for the datetime like dtypes * nan as vector of length 1 * use aux[-1] as nan, ..versionchanged, release note * for complex arrays all NaN values are considered equivalent Co-authored-by: filip_trojan <Tarantula2018> Co-authored-by: Bas van Beek <43369155+BvB93@users.noreply.github.com>
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