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[pre-commit.ci] pre-commit autoupdate
(
#809
)
Merged
Comparing
pre-commit-ci-update-config
(
7dbeb4b
) with
main
(
b9a0154
)
-17%
IMPROVEMENTS
0
REGRESSIONS
1
(
1
)
UNTOUCHED
338
NEW
0
DROPPED
0
IGNORED
0
Benchmarks
Failed
test_index_fancy[side=100-rank=1-format='coo']
Regression
benchmarks/test_benchmark_coo.py::test_index_fancy[side=100-rank=1-format='coo']
-17%
1.2 ms
1.5 ms
Passed
test_elemwise[f=<built-in function add>-backend='Numba'-side=500]
benchmarks/test_elemwise.py::test_elemwise[f=<built-in function add>-backend='Numba'-side=500]
+5%
4.5 ms
4.3 ms
test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=20-p=50-q=50-COO]
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=20-p=50-q=50-COO]
+1%
4 ms
4 ms
test_matmul[m=500-n=500-p=1000-gcxs]
benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=500-p=1000-gcxs]
+1%
10.4 ms
10.3 ms
test_matmul[m=200-n=1000-p=1000-gcxs]
benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=1000-p=1000-gcxs]
+1%
8 ms
7.9 ms
test_elemwise[f=<built-in function add>-backend='SciPy'-side=1000]
benchmarks/test_elemwise.py::test_elemwise[f=<built-in function add>-backend='SciPy'-side=1000]
+1%
617.8 µs
613.3 µs
test_elemwise[f=<built-in function mul>-backend='Finch'-side=100]
benchmarks/test_elemwise.py::test_elemwise[f=<built-in function mul>-backend='Finch'-side=100]
+1%
725 µs
720 µs
test_elemwise[f=<built-in function add>-backend='SciPy'-side=500]
benchmarks/test_elemwise.py::test_elemwise[f=<built-in function add>-backend='SciPy'-side=500]
+1%
578.6 µs
574.6 µs
test_matmul[m=500-n=1000-p=500-coo]
benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=1000-p=500-coo]
+1%
12.2 ms
12.1 ms
test_index_fancy[side=1000-rank=2-format='gcxs']
benchmarks/test_benchmark_coo.py::test_index_fancy[side=1000-rank=2-format='gcxs']
+1%
6.6 ms
6.5 ms
test_index_fancy[side=500-rank=1-format='coo']
benchmarks/test_benchmark_coo.py::test_index_fancy[side=500-rank=1-format='coo']
+1%
1.1 ms
1.1 ms
test_matmul[m=500-n=1000-p=500-gcxs]
benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=1000-p=500-gcxs]
+1%
16.3 ms
16.2 ms
test_index_fancy[side=500-rank=1-format='gcxs']
benchmarks/test_benchmark_coo.py::test_index_fancy[side=500-rank=1-format='gcxs']
+1%
1.5 ms
1.4 ms
test_index_fancy[side=100-rank=3-format='gcxs']
benchmarks/test_benchmark_coo.py::test_index_fancy[side=100-rank=3-format='gcxs']
0%
7.2 ms
7.1 ms
test_elemwise[side=100-rank=3-format='coo'-add]
benchmarks/test_benchmark_coo.py::test_elemwise[side=100-rank=3-format='coo'-add]
0%
22 ms
21.9 ms
test_elemwise_broadcast[side=1000-format='gcxs'-mul]
benchmarks/test_benchmark_coo.py::test_elemwise_broadcast[side=1000-format='gcxs'-mul]
0%
103 ms
102.5 ms
test_elemwise[side=1000-rank=2-format='gcxs'-add]
benchmarks/test_benchmark_coo.py::test_elemwise[side=1000-rank=2-format='gcxs'-add]
0%
28.8 ms
28.7 ms
test_index_fancy[side=100-rank=3-format='coo']
benchmarks/test_benchmark_coo.py::test_index_fancy[side=100-rank=3-format='coo']
0%
3.6 ms
3.6 ms
test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=10-p=50-q=50-COO]
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=10-p=50-q=50-COO]
0%
3 ms
3 ms
test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=20-p=50-q=10-COO]
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=20-p=50-q=10-COO]
0%
2.2 ms
2.2 ms
test_elemwise[side=100-rank=3-format='gcxs'-add]
benchmarks/test_benchmark_coo.py::test_elemwise[side=100-rank=3-format='gcxs'-add]
0%
32.9 ms
32.8 ms
test_index_fancy[side=1000-rank=2-format='coo']
benchmarks/test_benchmark_coo.py::test_index_fancy[side=1000-rank=2-format='coo']
0%
4.6 ms
4.6 ms
test_elemwise[f=<built-in function gt>-backend='Finch'-side=500]
benchmarks/test_elemwise.py::test_elemwise[f=<built-in function gt>-backend='Finch'-side=500]
0%
911.6 µs
908.8 µs
test_elemwise[f=<built-in function mul>-backend='Finch'-side=1000]
benchmarks/test_elemwise.py::test_elemwise[f=<built-in function mul>-backend='Finch'-side=1000]
0%
764.4 µs
762.2 µs
test_matmul[m=200-n=200-p=1000-gcxs]
benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=200-p=1000-gcxs]
0%
4.7 ms
4.6 ms
test_gcxs_dot_ndarray[gcxs-0-axis-m=1000-n=500-p=1000]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-0-axis-m=1000-n=500-p=1000]
0%
13.9 ms
13.8 ms
test_matmul[m=200-n=200-p=1000-coo]
benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=200-p=1000-coo]
0%
5.1 ms
5.1 ms
test_matmul[m=200-n=1000-p=200-coo]
benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=1000-p=200-coo]
0%
4.3 ms
4.3 ms
test_elemwise_broadcast[side=500-format='coo'-mul]
benchmarks/test_benchmark_coo.py::test_elemwise_broadcast[side=500-format='coo'-mul]
0%
12.8 ms
12.7 ms
test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=10-p=20-q=50-ndarray]
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=10-p=20-q=50-ndarray]
0%
1.7 ms
1.7 ms
test_elemwise[f=<built-in function add>-backend='Numba'-side=1000]
benchmarks/test_elemwise.py::test_elemwise[f=<built-in function add>-backend='Numba'-side=1000]
0%
5.9 ms
5.9 ms
test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=10-p=20-q=10-ndarray]
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=10-p=20-q=10-ndarray]
0%
1.7 ms
1.7 ms
test_elemwise_broadcast[side=1000-format='coo'-mul]
benchmarks/test_benchmark_coo.py::test_elemwise_broadcast[side=1000-format='coo'-mul]
0%
75.2 ms
75.1 ms
test_elemwise[f=<built-in function gt>-backend='Finch'-side=100]
benchmarks/test_elemwise.py::test_elemwise[f=<built-in function gt>-backend='Finch'-side=100]
0%
728 µs
726.4 µs
test_gcxs_dot_ndarray[gcxs-0-axis-m=1000-n=1000-p=1000]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-0-axis-m=1000-n=1000-p=1000]
0%
19.9 ms
19.8 ms
test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=10-p=50-q=10-COO]
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=10-p=50-q=10-COO]
0%
2.7 ms
2.7 ms
test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=10-p=20-q=10-COO]
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=10-p=20-q=10-COO]
0%
2.1 ms
2.1 ms
test_elemwise[side=1000-rank=2-format='coo'-add]
benchmarks/test_benchmark_coo.py::test_elemwise[side=1000-rank=2-format='coo'-add]
0%
20 ms
20 ms
test_gcxs_dot_ndarray[coo-m=1000-n=500-p=1000]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[coo-m=1000-n=500-p=1000]
0%
21.3 ms
21.3 ms
test_index_fancy[side=100-rank=2-format='coo']
benchmarks/test_benchmark_coo.py::test_index_fancy[side=100-rank=2-format='coo']
0%
814.5 µs
813.1 µs
test_gcxs_dot_ndarray[gcxs-1-axis-m=1000-n=500-p=1000]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-1-axis-m=1000-n=500-p=1000]
0%
13.9 ms
13.9 ms
test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=20-p=20-q=10-COO]
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=20-p=20-q=10-COO]
0%
2.5 ms
2.5 ms
test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=20-p=50-q=10-ndarray]
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=20-p=50-q=10-ndarray]
0%
1.7 ms
1.7 ms
test_index_fancy[side=100-rank=1-format='gcxs']
benchmarks/test_benchmark_coo.py::test_index_fancy[side=100-rank=1-format='gcxs']
0%
970.5 µs
969.3 µs
test_gcxs_dot_ndarray[coo-m=1000-n=1000-p=1000]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[coo-m=1000-n=1000-p=1000]
0%
33.5 ms
33.5 ms
test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=20-p=20-q=50-ndarray]
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=20-p=20-q=50-ndarray]
0%
2.1 ms
2.1 ms
test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=20-p=20-q=10-COO]
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=20-p=20-q=10-COO]
0%
3.5 ms
3.5 ms
test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=20-p=50-q=50-COO]
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=20-p=50-q=50-COO]
0%
6.9 ms
6.9 ms
test_gcxs_dot_ndarray[gcxs-0-axis-m=1000-n=1000-p=500]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-0-axis-m=1000-n=1000-p=500]
0%
8.6 ms
8.6 ms
test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=10-p=20-q=50-COO]
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=10-p=20-q=50-COO]
0%
3.3 ms
3.3 ms
test_index_scalar[side=500-rank=1-format='coo']
benchmarks/test_benchmark_coo.py::test_index_scalar[side=500-rank=1-format='coo']
0%
320.9 µs
320.6 µs
test_gcxs_dot_ndarray[coo-m=1000-n=1000-p=500]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[coo-m=1000-n=1000-p=500]
0%
15.7 ms
15.7 ms
test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=10-p=50-q=10-ndarray]
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=10-p=50-q=10-ndarray]
0%
1.6 ms
1.6 ms
test_gcxs_dot_ndarray[gcxs-1-axis-m=200-n=1000-p=1000]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-1-axis-m=200-n=1000-p=1000]
0%
9 ms
9 ms
test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=10-p=20-q=50-COO]
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=10-p=20-q=50-COO]
0%
5.7 ms
5.7 ms
test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=10-p=50-q=10-COO]
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=10-p=50-q=10-COO]
0%
2 ms
2 ms
test_index_scalar[side=100-rank=2-format='coo']
benchmarks/test_benchmark_coo.py::test_index_scalar[side=100-rank=2-format='coo']
0%
402.5 µs
402.2 µs
test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=20-p=20-q=10-ndarray]
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=20-p=20-q=10-ndarray]
0%
2.6 ms
2.6 ms
test_index_slice[side=1000-rank=1-format='gcxs']
benchmarks/test_benchmark_coo.py::test_index_slice[side=1000-rank=1-format='gcxs']
0%
869 µs
868.3 µs
test_gcxs_dot_ndarray[gcxs-1-axis-m=1000-n=500-p=500]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-1-axis-m=1000-n=500-p=500]
0%
6.9 ms
6.9 ms
test_matmul[m=500-n=1000-p=1000-coo]
benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=1000-p=1000-coo]
0%
21.8 ms
21.8 ms
test_elemwise[f=<built-in function gt>-backend='Numba'-side=500]
benchmarks/test_elemwise.py::test_elemwise[f=<built-in function gt>-backend='Numba'-side=500]
0%
3.2 ms
3.2 ms
test_index_slice[side=100-rank=3-format='gcxs']
benchmarks/test_benchmark_coo.py::test_index_slice[side=100-rank=3-format='gcxs']
0%
3.5 ms
3.5 ms
test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=10-p=20-q=50-COO]
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=10-p=20-q=50-COO]
0%
2.2 ms
2.2 ms
test_index_scalar[side=1000-rank=1-format='coo']
benchmarks/test_benchmark_coo.py::test_index_scalar[side=1000-rank=1-format='coo']
0%
321.2 µs
321 µs
test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=20-p=20-q=50-COO]
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=20-p=20-q=50-COO]
0%
2.6 ms
2.6 ms
test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=20-p=50-q=50-ndarray]
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=20-p=50-q=50-ndarray]
0%
3.2 ms
3.2 ms
test_index_fancy[side=1000-rank=1-format='gcxs']
benchmarks/test_benchmark_coo.py::test_index_fancy[side=1000-rank=1-format='gcxs']
0%
2 ms
2 ms
test_matmul[m=500-n=500-p=200-gcxs]
benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=500-p=200-gcxs]
0%
6.9 ms
6.9 ms
test_matmul[m=1000-n=500-p=500-gcxs]
benchmarks/test_benchmark_coo.py::test_matmul[m=1000-n=500-p=500-gcxs]
0%
14.7 ms
14.7 ms
test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=20-p=20-q=10-ndarray]
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=20-p=20-q=10-ndarray]
0%
1.5 ms
1.5 ms
test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=10-p=50-q=10-ndarray]
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=10-p=50-q=10-ndarray]
0%
2.3 ms
2.3 ms
test_elemwise[side=500-rank=1-format='coo'-add]
benchmarks/test_benchmark_coo.py::test_elemwise[side=500-rank=1-format='coo'-add]
0%
3.5 ms
3.5 ms
test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=20-p=20-q=50-ndarray]
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=20-p=20-q=50-ndarray]
0%
4.5 ms
4.5 ms
test_gcxs_dot_ndarray[gcxs-0-axis-m=200-n=1000-p=1000]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-0-axis-m=200-n=1000-p=1000]
0%
9 ms
9 ms
test_elemwise[side=100-rank=2-format='coo'-add]
benchmarks/test_benchmark_coo.py::test_elemwise[side=100-rank=2-format='coo'-add]
0%
4 ms
4 ms
test_elemwise[side=1000-rank=1-format='coo'-add]
benchmarks/test_benchmark_coo.py::test_elemwise[side=1000-rank=1-format='coo'-add]
0%
3.6 ms
3.6 ms
test_matmul[m=1000-n=1000-p=500-gcxs]
benchmarks/test_benchmark_coo.py::test_matmul[m=1000-n=1000-p=500-gcxs]
0%
22.7 ms
22.6 ms
test_matmul[m=200-n=200-p=200-gcxs]
benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=200-p=200-gcxs]
0%
3.1 ms
3.1 ms
test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=10-p=20-q=10-ndarray]
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=10-p=20-q=10-ndarray]
0%
1.5 ms
1.5 ms
test_elemwise[side=100-rank=2-format='gcxs'-mul]
benchmarks/test_benchmark_coo.py::test_elemwise[side=100-rank=2-format='gcxs'-mul]
0%
6.8 ms
6.8 ms
test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=20-p=20-q=10-COO]
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=20-p=20-q=10-COO]
0%
2.6 ms
2.6 ms
test_elemwise[side=500-rank=1-format='gcxs'-add]
benchmarks/test_benchmark_coo.py::test_elemwise[side=500-rank=1-format='gcxs'-add]
0%
4.2 ms
4.2 ms
test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=10-p=50-q=10-ndarray]
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=10-p=50-q=10-ndarray]
0%
3.3 ms
3.3 ms
test_elemwise[f=<built-in function mul>-backend='Numba'-side=1000]
benchmarks/test_elemwise.py::test_elemwise[f=<built-in function mul>-backend='Numba'-side=1000]
0%
3.5 ms
3.5 ms
test_matmul[m=1000-n=500-p=200-gcxs]
benchmarks/test_benchmark_coo.py::test_matmul[m=1000-n=500-p=200-gcxs]
0%
5.9 ms
5.9 ms
test_gcxs_dot_ndarray[coo-m=200-n=500-p=200]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[coo-m=200-n=500-p=200]
0%
2.6 ms
2.6 ms
test_matmul[m=500-n=500-p=500-gcxs]
benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=500-p=500-gcxs]
0%
6.7 ms
6.7 ms
test_elemwise[f=<built-in function gt>-backend='Finch'-side=1000]
benchmarks/test_elemwise.py::test_elemwise[f=<built-in function gt>-backend='Finch'-side=1000]
0%
1.5 ms
1.5 ms
test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=10-p=20-q=50-ndarray]
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=10-p=20-q=50-ndarray]
0%
3.2 ms
3.2 ms
test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=10-p=20-q=10-COO]
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=10-p=20-q=10-COO]
0%
1.8 ms
1.8 ms
test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=10-p=50-q=10-COO]
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=10-p=50-q=10-COO]
0%
3.5 ms
3.5 ms
test_index_scalar[side=100-rank=2-format='gcxs']
benchmarks/test_benchmark_coo.py::test_index_scalar[side=100-rank=2-format='gcxs']
0%
1.5 ms
1.5 ms
test_gcxs_dot_ndarray[coo-m=500-n=1000-p=200]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[coo-m=500-n=1000-p=200]
0%
4.8 ms
4.8 ms
test_gcxs_dot_ndarray[coo-m=1000-n=200-p=200]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[coo-m=1000-n=200-p=200]
0%
3.9 ms
3.9 ms
test_index_fancy[side=500-rank=2-format='gcxs']
benchmarks/test_benchmark_coo.py::test_index_fancy[side=500-rank=2-format='gcxs']
0%
3.2 ms
3.2 ms
test_gcxs_dot_ndarray[coo-m=500-n=500-p=1000]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[coo-m=500-n=500-p=1000]
0%
12.2 ms
12.2 ms
test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=20-p=50-q=10-ndarray]
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=20-p=50-q=10-ndarray]
0%
3.2 ms
3.2 ms
test_gcxs_dot_ndarray[gcxs-0-axis-m=500-n=1000-p=200]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-0-axis-m=500-n=1000-p=200]
0%
3.2 ms
3.2 ms
test_index_scalar[side=100-rank=3-format='coo']
benchmarks/test_benchmark_coo.py::test_index_scalar[side=100-rank=3-format='coo']
0%
483 µs
482.8 µs
test_index_scalar[side=500-rank=2-format='gcxs']
benchmarks/test_benchmark_coo.py::test_index_scalar[side=500-rank=2-format='gcxs']
0%
1.5 ms
1.5 ms
test_index_scalar[side=500-rank=1-format='gcxs']
benchmarks/test_benchmark_coo.py::test_index_scalar[side=500-rank=1-format='gcxs']
0%
637.2 µs
637 µs
test_gcxs_dot_ndarray[coo-m=1000-n=200-p=1000]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[coo-m=1000-n=200-p=1000]
0%
14.4 ms
14.4 ms
test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=10-p=50-q=50-ndarray]
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=10-p=50-q=50-ndarray]
0%
2.2 ms
2.2 ms
test_gcxs_dot_ndarray[coo-m=200-n=500-p=500]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[coo-m=200-n=500-p=500]
0%
4.5 ms
4.5 ms
test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=10-p=50-q=50-ndarray]
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=10-p=50-q=50-ndarray]
0%
2.3 ms
2.3 ms
test_gcxs_dot_ndarray[coo-m=200-n=1000-p=200]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[coo-m=200-n=1000-p=200]
0%
3.5 ms
3.5 ms
test_matmul[m=500-n=200-p=1000-gcxs]
benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=200-p=1000-gcxs]
0%
11.2 ms
11.2 ms
test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=10-p=50-q=50-COO]
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=10-p=50-q=50-COO]
0%
6.6 ms
6.6 ms
test_gcxs_dot_ndarray[coo-m=500-n=1000-p=1000]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[coo-m=500-n=1000-p=1000]
0%
19.4 ms
19.4 ms
test_matmul[m=1000-n=200-p=200-coo]
benchmarks/test_benchmark_coo.py::test_matmul[m=1000-n=200-p=200-coo]
0%
4.2 ms
4.2 ms
test_gcxs_dot_ndarray[gcxs-1-axis-m=200-n=200-p=500]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-1-axis-m=200-n=200-p=500]
0%
2.6 ms
2.6 ms
test_gcxs_dot_ndarray[coo-m=500-n=1000-p=500]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[coo-m=500-n=1000-p=500]
0%
9.9 ms
9.9 ms
test_gcxs_dot_ndarray[coo-m=1000-n=500-p=200]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[coo-m=1000-n=500-p=200]
0%
5.2 ms
5.2 ms
test_gcxs_dot_ndarray[gcxs-0-axis-m=1000-n=200-p=1000]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-0-axis-m=1000-n=200-p=1000]
0%
11 ms
11 ms
test_elemwise[side=500-rank=1-format='gcxs'-mul]
benchmarks/test_benchmark_coo.py::test_elemwise[side=500-rank=1-format='gcxs'-mul]
0%
3.3 ms
3.3 ms
test_gcxs_dot_ndarray[gcxs-0-axis-m=500-n=200-p=500]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-0-axis-m=500-n=200-p=500]
0%
3.8 ms
3.8 ms
test_matmul[m=500-n=200-p=500-coo]
benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=200-p=500-coo]
0%
5.5 ms
5.5 ms
test_index_slice[side=100-rank=1-format='coo']
benchmarks/test_benchmark_coo.py::test_index_slice[side=100-rank=1-format='coo']
0%
537.3 µs
537.2 µs
test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=20-p=50-q=50-ndarray]
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=20-p=50-q=50-ndarray]
0%
3 ms
3 ms
test_index_scalar[side=1000-rank=2-format='gcxs']
benchmarks/test_benchmark_coo.py::test_index_scalar[side=1000-rank=2-format='gcxs']
0%
1.5 ms
1.5 ms
test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=10-p=50-q=50-ndarray]
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=10-p=50-q=50-ndarray]
0%
6.3 ms
6.3 ms
test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=10-p=50-q=50-COO]
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=10-p=50-q=50-COO]
0%
10.9 ms
10.9 ms
test_gcxs_dot_ndarray[coo-m=200-n=1000-p=1000]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[coo-m=200-n=1000-p=1000]
0%
12 ms
12 ms
test_matmul[m=1000-n=1000-p=200-gcxs]
benchmarks/test_benchmark_coo.py::test_matmul[m=1000-n=1000-p=200-gcxs]
0%
11.3 ms
11.3 ms
test_gcxs_dot_ndarray[coo-m=200-n=200-p=200]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[coo-m=200-n=200-p=200]
0%
2.1 ms
2.1 ms
test_gcxs_dot_ndarray[coo-m=200-n=200-p=500]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[coo-m=200-n=200-p=500]
0%
3.1 ms
3.1 ms
test_gcxs_dot_ndarray[coo-m=1000-n=200-p=500]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[coo-m=1000-n=200-p=500]
0%
7.7 ms
7.7 ms
test_matmul[m=500-n=1000-p=1000-gcxs]
benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=1000-p=1000-gcxs]
0%
15.4 ms
15.4 ms
test_gcxs_dot_ndarray[coo-m=1000-n=500-p=500]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[coo-m=1000-n=500-p=500]
0%
10.7 ms
10.7 ms
test_matmul[m=1000-n=200-p=500-gcxs]
benchmarks/test_benchmark_coo.py::test_matmul[m=1000-n=200-p=500-gcxs]
0%
10.1 ms
10.1 ms
test_matmul[m=500-n=1000-p=200-gcxs]
benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=1000-p=200-gcxs]
0%
9.1 ms
9.1 ms
test_gcxs_dot_ndarray[gcxs-1-axis-m=500-n=1000-p=500]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-1-axis-m=500-n=1000-p=500]
0%
6.3 ms
6.3 ms
test_gcxs_dot_ndarray[gcxs-0-axis-m=500-n=200-p=200]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-0-axis-m=500-n=200-p=200]
0%
2.2 ms
2.2 ms
test_gcxs_dot_ndarray[gcxs-0-axis-m=200-n=500-p=500]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-0-axis-m=200-n=500-p=500]
0%
3.5 ms
3.5 ms
test_gcxs_dot_ndarray[coo-m=500-n=200-p=1000]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[coo-m=500-n=200-p=1000]
0%
8.3 ms
8.3 ms
test_gcxs_dot_ndarray[gcxs-0-axis-m=1000-n=500-p=500]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-0-axis-m=1000-n=500-p=500]
0%
6.9 ms
6.9 ms
test_gcxs_dot_ndarray[coo-m=500-n=200-p=200]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[coo-m=500-n=200-p=200]
0%
2.8 ms
2.8 ms
test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=10-p=50-q=50-ndarray]
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=10-p=50-q=50-ndarray]
0%
5.9 ms
5.9 ms
test_gcxs_dot_ndarray[gcxs-1-axis-m=200-n=1000-p=500]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-1-axis-m=200-n=1000-p=500]
0%
5 ms
5 ms
test_elemwise[f=<built-in function mul>-backend='SciPy'-side=1000]
benchmarks/test_elemwise.py::test_elemwise[f=<built-in function mul>-backend='SciPy'-side=1000]
0%
680.2 µs
680.1 µs
test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=20-p=50-q=10-ndarray]
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=20-p=50-q=10-ndarray]
0%
4.1 ms
4.1 ms
test_matmul[m=1000-n=1000-p=1000-coo]
benchmarks/test_benchmark_coo.py::test_matmul[m=1000-n=1000-p=1000-coo]
0%
39.8 ms
39.8 ms
test_gcxs_dot_ndarray[coo-m=200-n=500-p=1000]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[coo-m=200-n=500-p=1000]
0%
7.5 ms
7.5 ms
test_index_slice[side=100-rank=2-format='coo']
benchmarks/test_benchmark_coo.py::test_index_slice[side=100-rank=2-format='coo']
0%
633.7 µs
633.6 µs
test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=10-p=50-q=50-ndarray]
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=10-p=50-q=50-ndarray]
0%
5.3 ms
5.3 ms
test_index_scalar[side=100-rank=3-format='gcxs']
benchmarks/test_benchmark_coo.py::test_index_scalar[side=100-rank=3-format='gcxs']
0%
1.6 ms
1.6 ms
test_index_slice[side=100-rank=3-format='coo']
benchmarks/test_benchmark_coo.py::test_index_slice[side=100-rank=3-format='coo']
0%
1.4 ms
1.4 ms
test_index_scalar[side=100-rank=1-format='gcxs']
benchmarks/test_benchmark_coo.py::test_index_scalar[side=100-rank=1-format='gcxs']
0%
630.4 µs
630.3 µs
test_gcxs_dot_ndarray[gcxs-1-axis-m=200-n=200-p=1000]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-1-axis-m=200-n=200-p=1000]
0%
4 ms
4 ms
test_gcxs_dot_ndarray[gcxs-1-axis-m=200-n=1000-p=200]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-1-axis-m=200-n=1000-p=200]
0%
2.7 ms
2.7 ms
test_matmul[m=1000-n=200-p=200-gcxs]
benchmarks/test_benchmark_coo.py::test_matmul[m=1000-n=200-p=200-gcxs]
0%
6.9 ms
6.9 ms
test_index_fancy[side=500-rank=2-format='coo']
benchmarks/test_benchmark_coo.py::test_index_fancy[side=500-rank=2-format='coo']
0%
1.9 ms
1.9 ms
test_matmul[m=1000-n=1000-p=500-coo]
benchmarks/test_benchmark_coo.py::test_matmul[m=1000-n=1000-p=500-coo]
0%
21.7 ms
21.7 ms
test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=20-p=50-q=50-ndarray]
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=20-p=50-q=50-ndarray]
0%
4.1 ms
4.1 ms
test_index_fancy[side=100-rank=2-format='gcxs']
benchmarks/test_benchmark_coo.py::test_index_fancy[side=100-rank=2-format='gcxs']
0%
2.2 ms
2.2 ms
test_index_slice[side=500-rank=2-format='gcxs']
benchmarks/test_benchmark_coo.py::test_index_slice[side=500-rank=2-format='gcxs']
0%
2.6 ms
2.6 ms
test_elemwise[side=500-rank=2-format='coo'-mul]
benchmarks/test_benchmark_coo.py::test_elemwise[side=500-rank=2-format='coo'-mul]
0%
4.4 ms
4.4 ms
test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=20-p=20-q=50-ndarray]
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=20-p=20-q=50-ndarray]
0%
5.6 ms
5.6 ms
test_gcxs_dot_ndarray[coo-m=500-n=200-p=500]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[coo-m=500-n=200-p=500]
0%
4.8 ms
4.8 ms
test_elemwise_broadcast[side=1000-format='gcxs'-add]
benchmarks/test_benchmark_coo.py::test_elemwise_broadcast[side=1000-format='gcxs'-add]
0%
22.4 s
22.4 s
test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=10-p=20-q=50-ndarray]
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=10-p=20-q=50-ndarray]
0%
4 ms
4 ms
test_elemwise_broadcast[side=100-format='gcxs'-add]
benchmarks/test_benchmark_coo.py::test_elemwise_broadcast[side=100-format='gcxs'-add]
0%
22.1 ms
22.1 ms
test_gcxs_dot_ndarray[gcxs-0-axis-m=500-n=200-p=1000]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-0-axis-m=500-n=200-p=1000]
0%
6.4 ms
6.4 ms
test_gcxs_dot_ndarray[coo-m=500-n=500-p=200]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[coo-m=500-n=500-p=200]
0%
3.6 ms
3.6 ms
test_matmul[m=200-n=200-p=500-gcxs]
benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=200-p=500-gcxs]
0%
3.8 ms
3.8 ms
test_matmul[m=1000-n=1000-p=1000-gcxs]
benchmarks/test_benchmark_coo.py::test_matmul[m=1000-n=1000-p=1000-gcxs]
0%
27.8 ms
27.8 ms
test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=20-p=50-q=50-ndarray]
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=20-p=50-q=50-ndarray]
0%
10.7 ms
10.7 ms
test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=20-p=20-q=50-ndarray]
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=20-p=20-q=50-ndarray]
0%
5 ms
5 ms
test_gcxs_dot_ndarray[gcxs-1-axis-m=500-n=500-p=500]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-1-axis-m=500-n=500-p=500]
0%
4.7 ms
4.7 ms
test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=10-p=20-q=10-ndarray]
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=10-p=20-q=10-ndarray]
0%
1.7 ms
1.7 ms
test_matmul[m=1000-n=500-p=500-coo]
benchmarks/test_benchmark_coo.py::test_matmul[m=1000-n=500-p=500-coo]
0%
13.2 ms
13.2 ms
test_matmul[m=500-n=200-p=500-gcxs]
benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=200-p=500-gcxs]
0%
8 ms
8 ms
test_gcxs_dot_ndarray[coo-m=200-n=200-p=1000]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[coo-m=200-n=200-p=1000]
0%
4.8 ms
4.8 ms
test_elemwise[side=100-rank=2-format='gcxs'-add]
benchmarks/test_benchmark_coo.py::test_elemwise[side=100-rank=2-format='gcxs'-add]
0%
7.9 ms
7.9 ms
test_matmul[m=500-n=500-p=500-coo]
benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=500-p=500-coo]
0%
8.1 ms
8.1 ms
test_elemwise_broadcast[side=100-format='coo'-add]
benchmarks/test_benchmark_coo.py::test_elemwise_broadcast[side=100-format='coo'-add]
0%
14.1 ms
14.1 ms
test_matmul[m=1000-n=500-p=200-coo]
benchmarks/test_benchmark_coo.py::test_matmul[m=1000-n=500-p=200-coo]
0%
6.4 ms
6.4 ms
test_elemwise[f=<built-in function add>-backend='SciPy'-side=100]
benchmarks/test_elemwise.py::test_elemwise[f=<built-in function add>-backend='SciPy'-side=100]
0%
550.9 µs
550.9 µs
test_gcxs_dot_ndarray[gcxs-0-axis-m=1000-n=200-p=500]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-0-axis-m=1000-n=200-p=500]
0%
5.9 ms
5.9 ms
test_gcxs_dot_ndarray[gcxs-1-axis-m=200-n=500-p=200]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-1-axis-m=200-n=500-p=200]
0%
2.1 ms
2.1 ms
test_gcxs_dot_ndarray[gcxs-1-axis-m=1000-n=200-p=500]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-1-axis-m=1000-n=200-p=500]
0%
5.9 ms
5.9 ms
test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=20-p=50-q=10-COO]
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=20-p=50-q=10-COO]
0%
3 ms
3 ms
test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=20-p=50-q=50-ndarray]
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=20-p=50-q=50-ndarray]
0%
10.3 ms
10.3 ms
test_gcxs_dot_ndarray[coo-m=1000-n=1000-p=200]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[coo-m=1000-n=1000-p=200]
0%
7.1 ms
7.1 ms
test_gcxs_dot_ndarray[coo-m=200-n=1000-p=500]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[coo-m=200-n=1000-p=500]
0%
6.6 ms
6.6 ms
test_index_scalar[side=1000-rank=1-format='gcxs']
benchmarks/test_benchmark_coo.py::test_index_scalar[side=1000-rank=1-format='gcxs']
0%
639.8 µs
639.8 µs
test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=20-p=20-q=50-COO]
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=20-p=20-q=50-COO]
0%
5.8 ms
5.8 ms
test_gcxs_dot_ndarray[gcxs-0-axis-m=500-n=500-p=1000]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-0-axis-m=500-n=500-p=1000]
0%
8.4 ms
8.4 ms
test_elemwise_broadcast[side=1000-format='coo'-add]
benchmarks/test_benchmark_coo.py::test_elemwise_broadcast[side=1000-format='coo'-add]
0%
14.9 s
14.9 s
test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=20-p=50-q=50-COO]
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=20-p=50-q=50-COO]
0%
10.5 ms
10.5 ms
test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=20-p=50-q=10-ndarray]
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=20-p=50-q=10-ndarray]
0%
2.8 ms
2.8 ms
test_gcxs_dot_ndarray[gcxs-1-axis-m=200-n=500-p=1000]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-1-axis-m=200-n=500-p=1000]
0%
5.8 ms
5.8 ms
test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=10-p=50-q=10-COO]
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=10-p=50-q=10-COO]
0%
4 ms
4 ms
test_gcxs_dot_ndarray[gcxs-1-axis-m=1000-n=200-p=200]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-1-axis-m=1000-n=200-p=200]
0%
3 ms
3 ms
test_elemwise[side=500-rank=2-format='coo'-add]
benchmarks/test_benchmark_coo.py::test_elemwise[side=500-rank=2-format='coo'-add]
0%
7.8 ms
7.9 ms
test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=20-p=50-q=10-COO]
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=20-p=50-q=10-COO]
0%
3.1 ms
3.1 ms
test_matmul[m=1000-n=1000-p=200-coo]
benchmarks/test_benchmark_coo.py::test_matmul[m=1000-n=1000-p=200-coo]
0%
10 ms
10 ms
test_elemwise_broadcast[side=100-format='gcxs'-mul]
benchmarks/test_benchmark_coo.py::test_elemwise_broadcast[side=100-format='gcxs'-mul]
0%
7.5 ms
7.5 ms
test_matmul[m=1000-n=200-p=500-coo]
benchmarks/test_benchmark_coo.py::test_matmul[m=1000-n=200-p=500-coo]
0%
8.3 ms
8.3 ms
test_gcxs_dot_ndarray[gcxs-0-axis-m=200-n=500-p=1000]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-0-axis-m=200-n=500-p=1000]
0%
5.8 ms
5.8 ms
test_gcxs_dot_ndarray[gcxs-0-axis-m=1000-n=200-p=200]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-0-axis-m=1000-n=200-p=200]
0%
3 ms
3 ms
test_index_fancy[side=1000-rank=1-format='coo']
benchmarks/test_benchmark_coo.py::test_index_fancy[side=1000-rank=1-format='coo']
0%
1.7 ms
1.7 ms
test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=20-p=20-q=50-COO]
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=20-p=20-q=50-COO]
0%
3.4 ms
3.4 ms
test_matmul[m=500-n=1000-p=200-coo]
benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=1000-p=200-coo]
0%
6.5 ms
6.5 ms
test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=20-p=20-q=10-COO]
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=20-p=20-q=10-COO]
0%
3.3 ms
3.3 ms
test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=10-p=20-q=10-COO]
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=10-p=20-q=10-COO]
0%
2.9 ms
2.9 ms
test_elemwise[side=100-rank=3-format='gcxs'-mul]
benchmarks/test_benchmark_coo.py::test_elemwise[side=100-rank=3-format='gcxs'-mul]
0%
16.9 ms
16.9 ms
test_index_scalar[side=100-rank=1-format='coo']
benchmarks/test_benchmark_coo.py::test_index_scalar[side=100-rank=1-format='coo']
0%
319.9 µs
320 µs
test_matmul[m=1000-n=500-p=1000-coo]
benchmarks/test_benchmark_coo.py::test_matmul[m=1000-n=500-p=1000-coo]
0%
23.6 ms
23.6 ms
test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=20-p=20-q=10-ndarray]
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=20-p=20-q=10-ndarray]
0%
2.1 ms
2.1 ms
test_gcxs_dot_ndarray[gcxs-1-axis-m=500-n=200-p=500]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-1-axis-m=500-n=200-p=500]
0%
3.8 ms
3.8 ms
test_gcxs_dot_ndarray[gcxs-1-axis-m=500-n=200-p=200]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-1-axis-m=500-n=200-p=200]
0%
2.2 ms
2.2 ms
test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=10-p=50-q=50-COO]
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=10-p=50-q=50-COO]
0%
3.5 ms
3.5 ms
test_gcxs_dot_ndarray[gcxs-0-axis-m=500-n=500-p=500]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-0-axis-m=500-n=500-p=500]
0%
4.7 ms
4.7 ms
test_gcxs_dot_ndarray[gcxs-0-axis-m=200-n=1000-p=500]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-0-axis-m=200-n=1000-p=500]
0%
5 ms
5 ms
test_elemwise_broadcast[side=500-format='gcxs'-add]
benchmarks/test_benchmark_coo.py::test_elemwise_broadcast[side=500-format='gcxs'-add]
0%
2.6 s
2.6 s
test_gcxs_dot_ndarray[coo-m=500-n=500-p=500]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[coo-m=500-n=500-p=500]
0%
6.8 ms
6.8 ms
test_gcxs_dot_ndarray[gcxs-0-axis-m=200-n=200-p=1000]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-0-axis-m=200-n=200-p=1000]
0%
4 ms
4 ms
test_gcxs_dot_ndarray[gcxs-1-axis-m=200-n=500-p=500]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-1-axis-m=200-n=500-p=500]
0%
3.5 ms
3.5 ms
test_gcxs_dot_ndarray[gcxs-0-axis-m=1000-n=500-p=200]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-0-axis-m=1000-n=500-p=200]
0%
3.4 ms
3.5 ms
test_gcxs_dot_ndarray[gcxs-0-axis-m=200-n=200-p=200]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-0-axis-m=200-n=200-p=200]
0%
1.7 ms
1.7 ms
test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=10-p=20-q=50-ndarray]
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=10-p=20-q=50-ndarray]
0%
3 ms
3 ms
test_gcxs_dot_ndarray[gcxs-1-axis-m=500-n=200-p=1000]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-1-axis-m=500-n=200-p=1000]
0%
6.4 ms
6.4 ms
test_elemwise[side=100-rank=3-format='coo'-mul]
benchmarks/test_benchmark_coo.py::test_elemwise[side=100-rank=3-format='coo'-mul]
0%
9.5 ms
9.6 ms
test_elemwise[side=1000-rank=2-format='coo'-mul]
benchmarks/test_benchmark_coo.py::test_elemwise[side=1000-rank=2-format='coo'-mul]
0%
8.9 ms
8.9 ms
test_elemwise[side=100-rank=1-format='gcxs'-add]
benchmarks/test_benchmark_coo.py::test_elemwise[side=100-rank=1-format='gcxs'-add]
0%
4.1 ms
4.1 ms
test_index_slice[side=1000-rank=2-format='gcxs']
benchmarks/test_benchmark_coo.py::test_index_slice[side=1000-rank=2-format='gcxs']
0%
4.2 ms
4.2 ms
test_elemwise[side=1000-rank=2-format='gcxs'-mul]
benchmarks/test_benchmark_coo.py::test_elemwise[side=1000-rank=2-format='gcxs'-mul]
0%
14.1 ms
14.1 ms
test_gcxs_dot_ndarray[gcxs-1-axis-m=1000-n=500-p=200]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-1-axis-m=1000-n=500-p=200]
0%
3.4 ms
3.4 ms
test_matmul[m=200-n=1000-p=500-coo]
benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=1000-p=500-coo]
0%
6.9 ms
6.9 ms
test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=20-p=50-q=50-COO]
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=20-p=50-q=50-COO]
0%
4.3 ms
4.3 ms
test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=10-p=20-q=50-COO]
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=10-p=20-q=50-COO]
0%
3.7 ms
3.7 ms
test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=20-p=50-q=50-ndarray]
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=20-p=50-q=50-ndarray]
0%
9.3 ms
9.3 ms
test_index_slice[side=100-rank=1-format='gcxs']
benchmarks/test_benchmark_coo.py::test_index_slice[side=100-rank=1-format='gcxs']
0%
860.7 µs
860.9 µs
test_matmul[m=500-n=200-p=200-gcxs]
benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=200-p=200-gcxs]
0%
6 ms
6 ms
test_elemwise[f=<built-in function gt>-backend='SciPy'-side=500]
benchmarks/test_elemwise.py::test_elemwise[f=<built-in function gt>-backend='SciPy'-side=500]
0%
566.9 µs
567 µs
test_gcxs_dot_ndarray[gcxs-0-axis-m=200-n=500-p=200]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-0-axis-m=200-n=500-p=200]
0%
2.1 ms
2.1 ms
test_gcxs_dot_ndarray[gcxs-0-axis-m=200-n=200-p=500]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-0-axis-m=200-n=200-p=500]
0%
2.6 ms
2.6 ms
test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=20-p=50-q=50-COO]
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=20-p=50-q=50-COO]
0%
17.5 ms
17.5 ms
test_elemwise[side=500-rank=1-format='coo'-mul]
benchmarks/test_benchmark_coo.py::test_elemwise[side=500-rank=1-format='coo'-mul]
0%
2.7 ms
2.7 ms
test_matmul[m=1000-n=200-p=1000-coo]
benchmarks/test_benchmark_coo.py::test_matmul[m=1000-n=200-p=1000-coo]
0%
13.7 ms
13.7 ms
test_gcxs_dot_ndarray[gcxs-0-axis-m=500-n=1000-p=500]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-0-axis-m=500-n=1000-p=500]
0%
6.3 ms
6.3 ms
test_index_scalar[side=500-rank=2-format='coo']
benchmarks/test_benchmark_coo.py::test_index_scalar[side=500-rank=2-format='coo']
0%
402.5 µs
402.6 µs
test_elemwise[side=500-rank=2-format='gcxs'-mul]
benchmarks/test_benchmark_coo.py::test_elemwise[side=500-rank=2-format='gcxs'-mul]
0%
8.6 ms
8.6 ms
test_gcxs_dot_ndarray[gcxs-0-axis-m=500-n=500-p=200]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-0-axis-m=500-n=500-p=200]
0%
2.6 ms
2.6 ms
test_matmul[m=500-n=200-p=200-coo]
benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=200-p=200-coo]
0%
3.5 ms
3.5 ms
test_gcxs_dot_ndarray[gcxs-1-axis-m=500-n=1000-p=200]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-1-axis-m=500-n=1000-p=200]
0%
3.2 ms
3.2 ms
test_matmul[m=200-n=500-p=1000-coo]
benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=500-p=1000-coo]
0%
7.3 ms
7.3 ms
test_gcxs_dot_ndarray[gcxs-0-axis-m=200-n=1000-p=200]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-0-axis-m=200-n=1000-p=200]
0%
2.7 ms
2.7 ms
test_matmul[m=200-n=500-p=200-coo]
benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=500-p=200-coo]
0%
3.5 ms
3.5 ms
test_elemwise_broadcast[side=500-format='coo'-add]
benchmarks/test_benchmark_coo.py::test_elemwise_broadcast[side=500-format='coo'-add]
0%
1.7 s
1.7 s
test_matmul[m=200-n=500-p=500-gcxs]
benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=500-p=500-gcxs]
0%
4.4 ms
4.4 ms
test_elemwise[side=100-rank=2-format='coo'-mul]
benchmarks/test_benchmark_coo.py::test_elemwise[side=100-rank=2-format='coo'-mul]
0%
3 ms
3 ms
test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=20-p=20-q=50-ndarray]
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=20-p=20-q=50-ndarray]
0%
3.2 ms
3.2 ms
test_elemwise[side=1000-rank=1-format='gcxs'-mul]
benchmarks/test_benchmark_coo.py::test_elemwise[side=1000-rank=1-format='gcxs'-mul]
0%
3.3 ms
3.3 ms
test_elemwise[f=<built-in function gt>-backend='Numba'-side=100]
benchmarks/test_elemwise.py::test_elemwise[f=<built-in function gt>-backend='Numba'-side=100]
0%
3 ms
3 ms
test_gcxs_dot_ndarray[gcxs-1-axis-m=500-n=500-p=200]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-1-axis-m=500-n=500-p=200]
0%
2.6 ms
2.6 ms
test_index_slice[side=500-rank=1-format='gcxs']
benchmarks/test_benchmark_coo.py::test_index_slice[side=500-rank=1-format='gcxs']
0%
867.9 µs
868.3 µs
test_gcxs_dot_ndarray[gcxs-1-axis-m=500-n=500-p=1000]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-1-axis-m=500-n=500-p=1000]
0%
8.4 ms
8.4 ms
test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=10-p=50-q=50-COO]
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=10-p=50-q=50-COO]
0%
6.8 ms
6.8 ms
test_matmul[m=500-n=200-p=1000-coo]
benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=200-p=1000-coo]
0%
8.2 ms
8.2 ms
test_gcxs_dot_ndarray[gcxs-0-axis-m=1000-n=1000-p=200]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-0-axis-m=1000-n=1000-p=200]
0%
4.1 ms
4.1 ms
test_gcxs_dot_ndarray[gcxs-1-axis-m=1000-n=200-p=1000]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-1-axis-m=1000-n=200-p=1000]
0%
11.1 ms
11.1 ms
test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=20-p=50-q=10-ndarray]
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=20-p=50-q=10-ndarray]
0%
3 ms
3 ms
test_elemwise[side=1000-rank=1-format='gcxs'-add]
benchmarks/test_benchmark_coo.py::test_elemwise[side=1000-rank=1-format='gcxs'-add]
0%
4.2 ms
4.2 ms
test_index_scalar[side=1000-rank=2-format='coo']
benchmarks/test_benchmark_coo.py::test_index_scalar[side=1000-rank=2-format='coo']
0%
402 µs
402.2 µs
test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=20-p=50-q=10-COO]
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=20-p=50-q=10-COO]
0%
4.3 ms
4.3 ms
test_elemwise[side=100-rank=1-format='coo'-add]
benchmarks/test_benchmark_coo.py::test_elemwise[side=100-rank=1-format='coo'-add]
0%
3.5 ms
3.5 ms
test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=20-p=20-q=10-COO]
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=20-p=20-q=10-COO]
0%
2.8 ms
2.8 ms
test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=20-p=50-q=50-COO]
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=20-p=50-q=50-COO]
0%
11.5 ms
11.5 ms
test_gcxs_dot_ndarray[gcxs-1-axis-m=200-n=200-p=200]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-1-axis-m=200-n=200-p=200]
0%
1.7 ms
1.7 ms
test_matmul[m=500-n=500-p=200-coo]
benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=500-p=200-coo]
0%
4.6 ms
4.6 ms
test_elemwise[f=<built-in function mul>-backend='Numba'-side=100]
benchmarks/test_elemwise.py::test_elemwise[f=<built-in function mul>-backend='Numba'-side=100]
0%
2.8 ms
2.8 ms
test_matmul[m=200-n=1000-p=1000-coo]
benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=1000-p=1000-coo]
0%
10.7 ms
10.7 ms
test_matmul[m=200-n=200-p=500-coo]
benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=200-p=500-coo]
0%
3.9 ms
3.9 ms
test_matmul[m=200-n=500-p=200-gcxs]
benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=500-p=200-gcxs]
0%
6.2 ms
6.2 ms
test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=10-p=20-q=10-ndarray]
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=10-p=20-q=10-ndarray]
0%
2.5 ms
2.5 ms
test_gcxs_dot_ndarray[gcxs-1-axis-m=1000-n=1000-p=500]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-1-axis-m=1000-n=1000-p=500]
0%
8.7 ms
8.7 ms
test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=10-p=50-q=50-ndarray]
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=10-p=50-q=50-ndarray]
0%
3.3 ms
3.3 ms
test_elemwise[f=<built-in function mul>-backend='SciPy'-side=100]
benchmarks/test_elemwise.py::test_elemwise[f=<built-in function mul>-backend='SciPy'-side=100]
0%
596.6 µs
597 µs
test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=20-p=20-q=50-ndarray]
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=20-p=20-q=50-ndarray]
0%
2.1 ms
2.1 ms
test_gcxs_dot_ndarray[gcxs-1-axis-m=1000-n=1000-p=200]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-1-axis-m=1000-n=1000-p=200]
0%
4.1 ms
4.1 ms
test_elemwise[side=100-rank=1-format='gcxs'-mul]
benchmarks/test_benchmark_coo.py::test_elemwise[side=100-rank=1-format='gcxs'-mul]
0%
3.3 ms
3.3 ms
test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=20-p=20-q=10-ndarray]
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=20-p=20-q=10-ndarray]
0%
1.5 ms
1.5 ms
test_gcxs_dot_ndarray[gcxs-1-axis-m=1000-n=1000-p=1000]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-1-axis-m=1000-n=1000-p=1000]
0%
19.1 ms
19.1 ms
test_elemwise_broadcast[side=100-format='coo'-mul]
benchmarks/test_benchmark_coo.py::test_elemwise_broadcast[side=100-format='coo'-mul]
0%
3.2 ms
3.2 ms
test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=20-p=20-q=10-ndarray]
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=20-p=20-q=10-ndarray]
0%
3.1 ms
3.1 ms
test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=10-p=20-q=50-COO]
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=10-p=20-q=50-COO]
0%
4.3 ms
4.3 ms
test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=20-p=20-q=50-COO]
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=20-p=20-q=50-COO]
0%
4.1 ms
4.1 ms
test_gcxs_dot_ndarray[gcxs-1-axis-m=500-n=1000-p=1000]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-1-axis-m=500-n=1000-p=1000]
0%
12.7 ms
12.7 ms
test_index_slice[side=1000-rank=1-format='coo']
benchmarks/test_benchmark_coo.py::test_index_slice[side=1000-rank=1-format='coo']
0%
538.6 µs
539 µs
test_elemwise[f=<built-in function gt>-backend='Numba'-side=1000]
benchmarks/test_elemwise.py::test_elemwise[f=<built-in function gt>-backend='Numba'-side=1000]
0%
3.8 ms
3.8 ms
test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=10-p=20-q=10-COO]
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=10-p=20-q=10-COO]
0%
2.5 ms
2.5 ms
test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=10-p=20-q=10-ndarray]
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=10-p=20-q=10-ndarray]
0%
1.5 ms
1.5 ms
test_elemwise[f=<built-in function add>-backend='Numba'-side=100]
benchmarks/test_elemwise.py::test_elemwise[f=<built-in function add>-backend='Numba'-side=100]
0%
4 ms
4 ms
test_gcxs_dot_ndarray[gcxs-0-axis-m=500-n=1000-p=1000]
benchmarks/test_benchmark_coo.py::test_gcxs_dot_ndarray[gcxs-0-axis-m=500-n=1000-p=1000]
0%
12.4 ms
12.4 ms
test_matmul[m=1000-n=500-p=1000-gcxs]
benchmarks/test_benchmark_coo.py::test_matmul[m=1000-n=500-p=1000-gcxs]
0%
24.8 ms
24.8 ms
test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=10-p=50-q=10-ndarray]
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=10-p=50-q=10-ndarray]
0%
1.6 ms
1.6 ms
test_elemwise[side=100-rank=1-format='coo'-mul]
benchmarks/test_benchmark_coo.py::test_elemwise[side=100-rank=1-format='coo'-mul]
0%
2.7 ms
2.7 ms
test_elemwise[side=1000-rank=1-format='coo'-mul]
benchmarks/test_benchmark_coo.py::test_elemwise[side=1000-rank=1-format='coo'-mul]
0%
2.7 ms
2.7 ms
test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=10-p=20-q=50-COO]
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=10-p=20-q=50-COO]
0%
3 ms
3 ms
test_index_slice[side=500-rank=2-format='coo']
benchmarks/test_benchmark_coo.py::test_index_slice[side=500-rank=2-format='coo']
0%
927.6 µs
928.4 µs
test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=20-p=20-q=10-COO]
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=10-n=20-p=20-q=10-COO]
0%
1.9 ms
1.9 ms
test_matmul[m=200-n=200-p=200-coo]
benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=200-p=200-coo]
0%
3 ms
3 ms
test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=20-p=50-q=10-COO]
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=20-p=50-q=10-COO]
0%
3.7 ms
3.7 ms
test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=10-p=50-q=10-ndarray]
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=10-p=50-q=10-ndarray]
0%
2.2 ms
2.2 ms
test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=10-p=50-q=10-ndarray]
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=10-p=50-q=10-ndarray]
0%
2.6 ms
2.6 ms
test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=20-p=50-q=10-ndarray]
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=20-p=50-q=10-ndarray]
0%
1.7 ms
1.7 ms
test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=20-p=50-q=10-COO]
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=20-p=50-q=10-COO]
0%
5.3 ms
5.3 ms
test_elemwise[f=<built-in function mul>-backend='Numba'-side=500]
benchmarks/test_elemwise.py::test_elemwise[f=<built-in function mul>-backend='Numba'-side=500]
0%
3 ms
3 ms
test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=20-p=20-q=10-ndarray]
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=20-p=20-q=10-ndarray]
0%
2 ms
2 ms
test_elemwise[f=<built-in function mul>-backend='SciPy'-side=500]
benchmarks/test_elemwise.py::test_elemwise[f=<built-in function mul>-backend='SciPy'-side=500]
0%
619.1 µs
619.9 µs
test_elemwise[side=500-rank=2-format='gcxs'-add]
benchmarks/test_benchmark_coo.py::test_elemwise[side=500-rank=2-format='gcxs'-add]
0%
12.9 ms
12.9 ms
test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=20-p=20-q=50-COO]
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=1-left_format='coo'-right_format='dense'-m=50-n=20-p=20-q=50-COO]
0%
5.5 ms
5.5 ms
test_elemwise_broadcast[side=500-format='gcxs'-mul]
benchmarks/test_benchmark_coo.py::test_elemwise_broadcast[side=500-format='gcxs'-mul]
0%
20.1 ms
20.1 ms
test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=20-p=20-q=50-COO]
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=50-n=20-p=20-q=50-COO]
0%
8.1 ms
8.2 ms
test_elemwise[f=<built-in function gt>-backend='SciPy'-side=1000]
benchmarks/test_elemwise.py::test_elemwise[f=<built-in function gt>-backend='SciPy'-side=1000]
0%
612.2 µs
613.3 µs
test_elemwise[f=<built-in function add>-backend='Finch'-side=1000]
benchmarks/test_elemwise.py::test_elemwise[f=<built-in function add>-backend='Finch'-side=1000]
0%
1.5 ms
1.5 ms
test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=10-p=20-q=10-COO]
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=10-p=20-q=10-COO]
0%
2.9 ms
2.9 ms
test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=10-p=20-q=10-ndarray]
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=50-n=10-p=20-q=10-ndarray]
0%
2.7 ms
2.7 ms
test_index_slice[side=500-rank=1-format='coo']
benchmarks/test_benchmark_coo.py::test_index_slice[side=500-rank=1-format='coo']
0%
514.1 µs
515 µs
test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=10-p=50-q=10-COO]
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=10-p=50-q=10-COO]
0%
2.8 ms
2.8 ms
test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=10-p=50-q=10-COO]
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=10-p=50-q=10-COO]
0%
2.8 ms
2.8 ms
test_matmul[m=200-n=1000-p=200-gcxs]
benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=1000-p=200-gcxs]
0%
7.6 ms
7.7 ms
test_elemwise[f=<built-in function add>-backend='Finch'-side=500]
benchmarks/test_elemwise.py::test_elemwise[f=<built-in function add>-backend='Finch'-side=500]
0%
911.1 µs
913.2 µs
test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=10-p=20-q=50-ndarray]
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=10-p=20-q=50-ndarray]
0%
1.7 ms
1.7 ms
test_elemwise[f=<built-in function add>-backend='Finch'-side=100]
benchmarks/test_elemwise.py::test_elemwise[f=<built-in function add>-backend='Finch'-side=100]
0%
737.4 µs
739.3 µs
test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=10-p=20-q=50-ndarray]
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=10-p=20-q=50-ndarray]
0%
2.8 ms
2.8 ms
test_elemwise[f=<built-in function mul>-backend='Finch'-side=500]
benchmarks/test_elemwise.py::test_elemwise[f=<built-in function mul>-backend='Finch'-side=500]
0%
735.8 µs
738.8 µs
test_matmul[m=200-n=500-p=500-coo]
benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=500-p=500-coo]
0%
5 ms
5 ms
test_matmul[m=200-n=1000-p=500-gcxs]
benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=1000-p=500-gcxs]
0%
12.3 ms
12.4 ms
test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=10-p=20-q=10-COO]
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='coo'-right_format='coo'-m=10-n=10-p=20-q=10-COO]
0%
2.7 ms
2.7 ms
test_index_slice[side=1000-rank=2-format='coo']
benchmarks/test_benchmark_coo.py::test_index_slice[side=1000-rank=2-format='coo']
0%
1.6 ms
1.7 ms
test_matmul[m=1000-n=200-p=1000-gcxs]
benchmarks/test_benchmark_coo.py::test_matmul[m=1000-n=200-p=1000-gcxs]
-1%
15.5 ms
15.6 ms
test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=10-p=50-q=50-COO]
benchmarks/test_tensordot.py::test_tensordot[left_index=1-right_index=2-left_format='dense'-right_format='coo'-m=10-n=10-p=50-q=50-COO]
-1%
5.1 ms
5.1 ms
test_elemwise[f=<built-in function gt>-backend='SciPy'-side=100]
benchmarks/test_elemwise.py::test_elemwise[f=<built-in function gt>-backend='SciPy'-side=100]
-1%
550.1 µs
553.2 µs
test_matmul[m=200-n=500-p=1000-gcxs]
benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=500-p=1000-gcxs]
-1%
5.9 ms
6 ms
test_matmul[m=500-n=500-p=1000-coo]
benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=500-p=1000-coo]
-1%
13.2 ms
13.3 ms
test_index_slice[side=100-rank=2-format='gcxs']
Regression
benchmarks/test_benchmark_coo.py::test_index_slice[side=100-rank=2-format='gcxs']
-17%
2.4 ms
2.8 ms
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[pre-commit.ci] pre-commit autoupdate updates: - [github.com/astral-sh/ruff-pre-commit: v0.7.3 → v0.7.4](https://github.com/astral-sh/ruff-pre-commit/compare/v0.7.3...v0.7.4) - [github.com/kynan/nbstripout: 0.8.0 → 0.8.1](https://github.com/kynan/nbstripout/compare/0.8.0...0.8.1)
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