delta/python-packages/numpy.git/benchmarks, branch master github.com: numpy/numpy.git Merge pull request #18183 from touqir14/master 2021-02-15T09:17:22+00:00 Matti Picus matti.picus@gmail.com 2021-02-15T09:17:22+00:00 17e3ef963a039b8312af119e300a9e68a37e568c MAINT: Optimize numpy.count_nonzero for int types using SIMD operations 
MAINT: Optimize numpy.count_nonzero for int types using SIMD operations
 BUG: Fix unique handling of nan entries. (#18070) 2021-02-12T16:47:55+00:00 Filip Trojan f.trojan@centrum.cz 2021-02-12T16:47:55+00:00 7dcd29aaafe1ab8be4be04d3c793e5bcaf17459f * 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> 
* 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>
 MAINT: Avoid moveaxis overhead in median. 2021-02-06T11:46:03+00:00 Antony Lee anntzer.lee@gmail.com 2021-02-04T17:32:54+00:00 4152443b1d268951401e0be1351eccbddd572e97 This change speeds up taking the median of 1001 floats by ~20%, as measured by `python -mtimeit -s 'import numpy as np; x = np.random.randn(1001)' -- 'np.median(x)'` 
This change speeds up taking the median of 1001 floats by ~20%, as
measured by
`python -mtimeit -s 'import numpy as np; x = np.random.randn(1001)' -- 'np.median(x)'`
Merge remote-tracking branch 'upstream/master' 2021-02-05T10:49:16+00:00 Touqir Sajed touqir@ualberta.ca 2021-02-05T10:49:16+00:00 ed3d080f637e263fdcd702fb7d588433461ff243 






Merged count_nonzero_int16/int32/int64 into count_nonzero_int and added benchmarks
2021-01-19T10:19:11+00:00

Touqir Sajed
touqir@ualberta.ca

2021-01-19T10:19:11+00:00

15cf37d5394e69fc1847b1efa8d5253de4890cbe












Add triu_indices and tril_indices
2021-01-18T15:48:38+00:00

Illviljan
14371165+Illviljan@users.noreply.github.com

2021-01-18T15:48:38+00:00

2951e733d9ffa03276d6859721b57209234bea12












DOC: Avoid using "set of" when talking about an ordered list.
2020-12-29T20:18:08+00:00

Antony Lee
anntzer.lee@gmail.com

2020-12-29T17:53:53+00:00

f36e940a4726abb38c4929259e8eaf00d68c3d18

... or when the input isn't/cannot be a set.  I left a few usages, e.g.
in random sampling, where "set" is reasonable as informal description of
an array as the order doesn't matter; however, for e.g. np.gradient the
order of the returned list is clearly important, so "set" is wrong.

Also some other minor doc edits noticed during the grepping: using
`shape` instead of `form` in `cov` is consistent with most other places;
the wording in `Polynomial.trim` now matches other methods on the same
class.





... or when the input isn't/cannot be a set.  I left a few usages, e.g.
in random sampling, where "set" is reasonable as informal description of
an array as the order doesn't matter; however, for e.g. np.gradient the
order of the returned list is clearly important, so "set" is wrong.

Also some other minor doc edits noticed during the grepping: using
`shape` instead of `form` in `cov` is consistent with most other places;
the wording in `Polynomial.trim` now matches other methods on the same
class.







BENCH: Rename `bench_avx.py` to `bench_ufunc_strides.py`
2020-12-26T16:32:08+00:00

Sayed Adel
seiko@imavr.com

2020-12-26T03:19:47+00:00

14706548928f78b31431bcd3eb6bf7d76c914335

  This test should not be exclusive to AVX. this patch also
  extends unary test to cover different sets of output strides.





  This test should not be exclusive to AVX. this patch also
  extends unary test to cover different sets of output strides.







Merge pull request #17102 from Qiyu8/usimd-compiled
2020-12-19T17:18:25+00:00

Matti Picus
matti.picus@gmail.com

2020-12-19T17:18:25+00:00

3095b43db1831d876915bb581078e8d11c9febfb

SIMD: Optimize the performance of np.packbits using USIMD




SIMD: Optimize the performance of np.packbits using USIMD






Merge pull request #17736 from seiko2plus/issue_17716
2020-12-16T19:55:52+00:00

Matti Picus
matti.picus@gmail.com

2020-12-16T19:55:52+00:00

d7a75e8e8fefc433cf6e5305807d5f3180954273

BUG, Benchmark: fix passing optimization build options to asv




BUG, Benchmark: fix passing optimization build options to asv