pa/nbext - Branch - scverse/fast-array-utils

Add a scipy.sparse numba extension

#73Merged

Comparing

pa/nbext

(

59b9fc3

) with

main

(

104bf1c

)

-37%

Regressions: 4
(
4
)

Untouched: 84

New: 36

Benchmarks

New

test_stats_benchmark[None-numpy.ndarray-int32-mean_var]

tests/test_stats.py

N/A

N/A8.9 ms

test_stats_benchmark[None-numpy.ndarray-int32-is_constant]

tests/test_stats.py

N/A

N/A2.8 ms

test_stats_benchmark[None-scipy.sparse.csc_array-int32-sum]

tests/test_stats.py

N/A

N/A16.5 ms

test_stats_benchmark[None-scipy.sparse.csr_array-int32-mean]

tests/test_stats.py

N/A

N/A16.2 ms

test_stats_benchmark[None-scipy.sparse.csc_array-int32-is_constant]

tests/test_stats.py

N/A

N/A2.8 ms

test_stats_benchmark[None-scipy.sparse.csr_array-int32-mean_var]

tests/test_stats.py

N/A

N/A40.7 ms

test_stats_benchmark[None-scipy.sparse.csr_array-int32-sum]

tests/test_stats.py

N/A

N/A16.2 ms

test_stats_benchmark[1-numpy.ndarray-int32-sum]

tests/test_stats.py

N/A

N/A4.1 ms

test_stats_benchmark[None-scipy.sparse.csc_array-int32-mean]

tests/test_stats.py

N/A

N/A16.5 ms

test_stats_benchmark[None-scipy.sparse.csr_array-int32-is_constant]

tests/test_stats.py

N/A

N/A2.8 ms

test_stats_benchmark[1-numpy.ndarray-int32-mean_var]

tests/test_stats.py

N/A

N/A9.2 ms

test_stats_benchmark[None-scipy.sparse.csc_array-int32-mean_var]

tests/test_stats.py

N/A

N/A41.3 ms

test_stats_benchmark[1-numpy.ndarray-int32-is_constant]

tests/test_stats.py

N/A

N/A3.8 ms

test_stats_benchmark[1-numpy.ndarray-int32-mean]

tests/test_stats.py

N/A

N/A4.2 ms

test_stats_benchmark[1-scipy.sparse.csr_array-int32-sum]

tests/test_stats.py

N/A

N/A11.7 ms

test_stats_benchmark[1-scipy.sparse.csr_array-int32-is_constant]

tests/test_stats.py

N/A

N/A748.3 µs

test_stats_benchmark[1-scipy.sparse.csr_array-int32-mean_var]

tests/test_stats.py

N/A

N/A6.7 ms

test_stats_benchmark[1-scipy.sparse.csr_array-int32-mean]

tests/test_stats.py

N/A

N/A11.8 ms

test_stats_benchmark[1-scipy.sparse.csc_array-int32-mean_var]

tests/test_stats.py

N/A

N/A19.6 ms

test_stats_benchmark[None-numpy.ndarray-int32-sum]

tests/test_stats.py

N/A

N/A4.1 ms

test_stats_benchmark[1-scipy.sparse.csc_array-int32-is_constant]

tests/test_stats.py

N/A

N/A22.9 ms

test_stats_benchmark[0-scipy.sparse.csr_array-int32-is_constant]

tests/test_stats.py

N/A

N/A22.9 ms

test_stats_benchmark[0-scipy.sparse.csr_array-int32-mean_var]

tests/test_stats.py

N/A

N/A19.6 ms

test_stats_benchmark[0-numpy.ndarray-int32-mean]

tests/test_stats.py

N/A

N/A4.7 ms

test_stats_benchmark[0-numpy.ndarray-int32-sum]

tests/test_stats.py

N/A

N/A4.7 ms

test_stats_benchmark[0-numpy.ndarray-int32-is_constant]

tests/test_stats.py

N/A

N/A3.7 ms

test_stats_benchmark[None-numpy.ndarray-int32-mean]

tests/test_stats.py

N/A

N/A4.1 ms

test_stats_benchmark[0-scipy.sparse.csc_array-int32-mean]

tests/test_stats.py

N/A

N/A11.8 ms

test_stats_benchmark[1-scipy.sparse.csc_array-int32-mean]

tests/test_stats.py

N/A

N/A16.6 ms

test_stats_benchmark[0-scipy.sparse.csc_array-int32-is_constant]

tests/test_stats.py

N/A

N/A746 µs

test_stats_benchmark[1-scipy.sparse.csc_array-int32-sum]

tests/test_stats.py

N/A

N/A16.5 ms

test_stats_benchmark[0-scipy.sparse.csc_array-int32-sum]

tests/test_stats.py

N/A

N/A11.7 ms

test_stats_benchmark[0-numpy.ndarray-int32-mean_var]

tests/test_stats.py

N/A

N/A9.5 ms

test_stats_benchmark[0-scipy.sparse.csc_array-int32-mean_var]

tests/test_stats.py

N/A

N/A6.7 ms

test_stats_benchmark[0-scipy.sparse.csr_array-int32-mean]

tests/test_stats.py

N/A

N/A16.7 ms

test_stats_benchmark[0-scipy.sparse.csr_array-int32-sum]

tests/test_stats.py

N/A

N/A16.6 ms

Passed

test_stats_benchmark[1-scipy.sparse.csc_array-float32-mean]

tests/test_stats.py

8.4 ms8.4 ms

test_stats_benchmark[1-scipy.sparse.csc_array-float32-sum]

tests/test_stats.py

8.4 ms8.3 ms

test_stats_benchmark[0-numpy.ndarray-float32-mean_var]

tests/test_stats.py

9.4 ms9.4 ms

test_stats_benchmark[0-scipy.sparse.csr_array-float32-sum]

tests/test_stats.py

8.5 ms8.5 ms

test_stats_benchmark[None-numpy.ndarray-float32-mean_var]

tests/test_stats.py

8.9 ms8.9 ms

test_stats_benchmark[None-scipy.sparse.csc_array-float32-mean]

tests/test_stats.py

8.4 ms8.4 ms

test_stats_benchmark[0-scipy.sparse.csr_array-float64-sum]

tests/test_stats.py

10.9 ms10.9 ms

test_stats_benchmark[0-numpy.ndarray-float64-is_constant]

tests/test_stats.py

6.2 ms6.2 ms

test_stats_benchmark[None-scipy.sparse.csc_array-float32-sum]

tests/test_stats.py

8.3 ms8.3 ms

test_stats_benchmark[None-scipy.sparse.csr_array-float32-mean]

tests/test_stats.py

7.3 ms7.3 ms

test_stats_benchmark[1-scipy.sparse.csr_array-float32-sum]

tests/test_stats.py

3.8 ms3.8 ms

test_stats_benchmark[0-scipy.sparse.csr_array-float64-mean]

tests/test_stats.py

10.9 ms10.9 ms

test_stats_benchmark[0-numpy.ndarray-float32-mean]

tests/test_stats.py

2.6 ms2.6 ms

test_stats_benchmark[0-scipy.sparse.csr_array-float32-mean]

tests/test_stats.py

8.5 ms8.5 ms

test_stats_benchmark[None-numpy.ndarray-float64-mean]

tests/test_stats.py

4.7 ms4.7 ms

test_stats_benchmark[1-numpy.ndarray-float32-sum]

tests/test_stats.py

2.9 ms2.9 ms

test_stats_benchmark[0-numpy.ndarray-float32-sum]

tests/test_stats.py

2.5 ms2.5 ms

test_stats_benchmark[None-scipy.sparse.csc_array-float64-is_constant]

tests/test_stats.py

4.8 ms4.8 ms

test_stats_benchmark[1-numpy.ndarray-float64-is_constant]

tests/test_stats.py

6.6 ms6.6 ms

test_stats_benchmark[None-scipy.sparse.csc_array-float64-mean]

tests/test_stats.py

10.8 ms10.8 ms

test_stats_benchmark[1-numpy.ndarray-float32-is_constant]

tests/test_stats.py

3.7 ms3.7 ms

test_stats_benchmark[0-scipy.sparse.csc_array-float32-mean]

tests/test_stats.py

3.8 ms3.8 ms

test_stats_benchmark[1-scipy.sparse.csr_array-float32-mean]

tests/test_stats.py

3.8 ms3.8 ms

test_stats_benchmark[None-scipy.sparse.csr_array-float64-is_constant]

tests/test_stats.py

4.8 ms4.8 ms

test_stats_benchmark[None-numpy.ndarray-float64-sum]

tests/test_stats.py

4.6 ms4.6 ms

test_stats_benchmark[1-numpy.ndarray-float32-mean_var]

tests/test_stats.py

9.2 ms9.2 ms

test_stats_benchmark[1-numpy.ndarray-float64-mean_var]

tests/test_stats.py

17.3 ms17.3 ms

test_stats_benchmark[None-numpy.ndarray-float64-is_constant]

tests/test_stats.py

4.8 ms4.8 ms

test_stats_benchmark[None-numpy.ndarray-float32-is_constant]

tests/test_stats.py

2.7 ms2.7 ms

test_stats_benchmark[1-numpy.ndarray-float32-mean]

tests/test_stats.py

2.9 ms2.9 ms

test_stats_benchmark[None-scipy.sparse.csc_array-float64-sum]

tests/test_stats.py

10.7 ms10.7 ms

test_stats_benchmark[1-numpy.ndarray-float64-sum]

tests/test_stats.py

4.8 ms4.8 ms

test_stats_benchmark[0-numpy.ndarray-float64-mean]

tests/test_stats.py

4.9 ms4.9 ms

test_stats_benchmark[None-scipy.sparse.csr_array-float32-is_constant]

tests/test_stats.py

2.7 ms2.7 ms

test_stats_benchmark[None-scipy.sparse.csc_array-float64-mean_var]

tests/test_stats.py

33.6 ms33.6 ms

test_stats_benchmark[None-scipy.sparse.csr_array-float64-mean_var]

tests/test_stats.py

31.4 ms31.4 ms

test_stats_benchmark[1-numpy.ndarray-float64-mean]

tests/test_stats.py

4.8 ms4.8 ms

test_stats_benchmark[None-scipy.sparse.csr_array-float32-sum]

tests/test_stats.py

7.2 ms7.2 ms

test_stats_benchmark[1-scipy.sparse.csc_array-float64-sum]

tests/test_stats.py

10.8 ms10.8 ms

test_stats_benchmark[1-scipy.sparse.csc_array-float64-mean]

tests/test_stats.py

10.8 ms10.8 ms

test_stats_benchmark[None-scipy.sparse.csr_array-float64-mean]

tests/test_stats.py

9.7 ms9.7 ms

test_stats_benchmark[0-scipy.sparse.csc_array-float32-sum]

tests/test_stats.py

3.8 ms3.8 ms

test_stats_benchmark[None-numpy.ndarray-float64-mean_var]

tests/test_stats.py

17.1 ms17.1 ms

test_stats_benchmark[0-numpy.ndarray-float64-mean_var]

tests/test_stats.py

17.6 ms17.6 ms

test_stats_benchmark[None-scipy.sparse.csr_array-float64-sum]

tests/test_stats.py

9.6 ms9.6 ms

test_stats_benchmark[0-numpy.ndarray-float64-sum]

tests/test_stats.py

4.9 ms4.9 ms

test_stats_benchmark[None-scipy.sparse.csc_array-float32-is_constant]

tests/test_stats.py

2.7 ms2.7 ms

test_stats_benchmark[0-numpy.ndarray-float32-is_constant]

tests/test_stats.py

3.6 ms3.6 ms

test_stats_benchmark[0-scipy.sparse.csc_array-float64-mean]

tests/test_stats.py

5.8 ms5.8 ms

test_stats_benchmark[None-scipy.sparse.csc_array-float32-mean_var]

tests/test_stats.py

22.7 ms22.8 ms

test_stats_benchmark[None-numpy.ndarray-float32-mean]

tests/test_stats.py

2.9 ms2.9 ms

test_stats_benchmark[0-scipy.sparse.csc_array-float64-sum]

tests/test_stats.py

5.8 ms5.8 ms

test_stats_benchmark[None-scipy.sparse.csr_array-float32-mean_var]

tests/test_stats.py

20.5 ms20.6 ms

test_stats_benchmark[None-numpy.ndarray-float32-sum]

tests/test_stats.py

2.8 ms2.8 ms

test_stats_benchmark[1-scipy.sparse.csr_array-float64-mean]

tests/test_stats.py

5.7 ms5.8 ms

test_stats_benchmark[1-scipy.sparse.csr_array-float64-sum]

tests/test_stats.py

5.7 ms5.7 ms

test_stats_benchmark[0-scipy.sparse.csr_array-float64-is_constant]

tests/test_stats.py

-1%

26.4 ms26.7 ms

test_stats_benchmark[0-scipy.sparse.csr_array-float32-is_constant]

tests/test_stats.py

-1%

22.7 ms22.9 ms

test_stats_benchmark[1-scipy.sparse.csc_array-float64-is_constant]

tests/test_stats.py

-1%

26.4 ms26.7 ms

test_stats_benchmark[1-scipy.sparse.csc_array-float32-is_constant]

tests/test_stats.py

-1%

22.7 ms22.9 ms

test_to_dense_benchmark[float64-scipy.sparse.csc_array-F]

tests/test_sparse.py

-2%

40.1 ms41 ms

test_to_dense_benchmark[float64-scipy.sparse.csr_matrix-C]

tests/test_sparse.py

-2%

40.1 ms41 ms

test_to_dense_benchmark[float64-scipy.sparse.csc_matrix-F]

tests/test_sparse.py

-2%

40.1 ms41 ms

test_to_dense_benchmark[float64-scipy.sparse.csr_array-C]

tests/test_sparse.py

-2%

40.1 ms41 ms

test_to_dense_benchmark[float32-scipy.sparse.csr_array-C]

tests/test_sparse.py

-2%

37.2 ms38.1 ms

test_to_dense_benchmark[float32-scipy.sparse.csc_matrix-F]

tests/test_sparse.py

-2%

37.2 ms38.1 ms

test_to_dense_benchmark[float32-scipy.sparse.csc_array-F]

tests/test_sparse.py

-2%

37.2 ms38.1 ms

test_to_dense_benchmark[float32-scipy.sparse.csr_matrix-C]

tests/test_sparse.py

-2%

37.2 ms38.1 ms

test_to_dense_benchmark[float64-scipy.sparse.csc_matrix-C]

tests/test_sparse.py

-3%

40.5 ms41.9 ms

test_to_dense_benchmark[float64-scipy.sparse.csr_array-F]

tests/test_sparse.py

-3%

40.5 ms41.9 ms

test_to_dense_benchmark[float64-scipy.sparse.csc_array-C]

tests/test_sparse.py

-3%

40.4 ms41.9 ms

test_to_dense_benchmark[float64-scipy.sparse.csr_matrix-F]

tests/test_sparse.py

-3%

40.4 ms41.9 ms

test_to_dense_benchmark[float32-scipy.sparse.csr_matrix-F]

tests/test_sparse.py

-4%

37.6 ms39 ms

test_to_dense_benchmark[float32-scipy.sparse.csr_array-F]

tests/test_sparse.py

-4%

37.6 ms39 ms

test_to_dense_benchmark[float32-scipy.sparse.csc_matrix-C]

tests/test_sparse.py

-4%

37.6 ms39 ms

test_to_dense_benchmark[float32-scipy.sparse.csc_array-C]

tests/test_sparse.py

-4%

37.6 ms39 ms

test_stats_benchmark[0-scipy.sparse.csc_array-float64-mean_var]

tests/test_stats.py

-6%

7.9 ms8.5 ms

test_stats_benchmark[1-scipy.sparse.csr_array-float64-mean_var]

tests/test_stats.py

-6%

7.9 ms8.5 ms

test_stats_benchmark[0-scipy.sparse.csc_array-float32-mean_var]

tests/test_stats.py

-8%

6.4 ms6.9 ms

test_stats_benchmark[1-scipy.sparse.csr_array-float32-mean_var]

tests/test_stats.py

-8%

6.4 ms6.9 ms

test_stats_benchmark[1-scipy.sparse.csc_array-float64-mean_var]

tests/test_stats.py

-8%

18.9 ms20.6 ms

test_stats_benchmark[0-scipy.sparse.csr_array-float64-mean_var]

tests/test_stats.py

-8%

18.9 ms20.6 ms

test_stats_benchmark[1-scipy.sparse.csc_array-float32-mean_var]

tests/test_stats.py

-9%

17.4 ms19 ms

test_stats_benchmark[0-scipy.sparse.csr_array-float32-mean_var]

tests/test_stats.py

-9%

17.3 ms19 ms

test_stats_benchmark[0-scipy.sparse.csc_array-float32-is_constant]

tests/test_stats.py

Regression

-35%

482.4 µs747.2 µs

test_stats_benchmark[0-scipy.sparse.csc_array-float64-is_constant]

tests/test_stats.py

Regression

-35%

479.6 µs743.2 µs

test_stats_benchmark[1-scipy.sparse.csr_array-float64-is_constant]

tests/test_stats.py

Regression

-36%

478.9 µs745.4 µs

test_stats_benchmark[1-scipy.sparse.csr_array-float32-is_constant]

tests/test_stats.py

Regression

-37%

481.8 µs765.8 µs

Commits

Click on a commit to change the comparison range

Base

main

104bf1c

-68.59%

wip

aace7f4

8 months ago

by flying-sheep

-6.28%

lint

7b7dac2

8 months ago

by flying-sheep

-0.21%

fix import

da2fd7f

8 months ago

by flying-sheep

-3.49%

try without casts

050edb7

8 months ago

by flying-sheep

-5.61%

Merge branch 'main' into pa/nbext

b0c6c2e

8 months ago

by flying-sheep

+6.83%

WIP

ad2d5a3

8 months ago

by flying-sheep

+7.8%

WIP

1bcedcb

8 months ago

by flying-sheep

-28.8%

bigger bench

c9e197d

8 months ago

by flying-sheep

+66.13%

Merge branch 'main' into pa/nbext

0c36092

8 months ago

by flying-sheep

+0.24%

WIP

59d511a

8 months ago

by flying-sheep

-1.61%

fix typing

65b7b31

8 months ago

by flying-sheep

+0.85%

lints

d85d644

8 months ago

by flying-sheep

-0.14%

skip numba import

484c322

8 months ago

by flying-sheep

+0.29%

urgh

8d62ad3

8 months ago

by flying-sheep

+0.14%

more cov

806fc0b

8 months ago

by flying-sheep

+0.16%

Some type fixes

b451be6

8 months ago

by flying-sheep

-6.55%

tests

394485d

8 months ago

by flying-sheep

+0.83%

clarify tests

c963b3c

8 months ago

by flying-sheep

+0.42%

adapt tests

50d9de0

8 months ago

by flying-sheep

+0.41%

fix tests

38f9d22

8 months ago

by flying-sheep

-0.18%

last docs

d30b2f2

8 months ago

by flying-sheep

+0.18%

allow random int arrays

e29172b

8 months ago

by flying-sheep

+1.43%

fix docs

a403639

8 months ago

by flying-sheep

-1.35%

coverage

59b9fc3

8 months ago

by flying-sheep

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