pre-commit-ci-update-config - Branch - pydata/sparse

[pre-commit.ci] pre-commit autoupdate

#865

Comparing

pre-commit-ci-update-config

(

dd9b9eb

) with

main

(

afb5212

)

×2

Improvements: 10

Regressions: 0

Untouched: 330

New: 0

Dropped: 0

Ignored: 0

Benchmarks

Improved

test_index_fancy[side=100-rank=1-format='coo']

benchmarks/test_benchmark_coo.py::test_index_fancy[side=100-rank=1-format='coo']

×2

1,369.1 µs

672.2 µs

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]

+14%

500.5 µs

439.2 µs

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]

+13%

523.4 µs

462.1 µs

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]

+13%

462.4 µs

410.4 µs

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]

+12%

462.4 µs

411 µs

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]

+12%

478.3 µs

426.6 µs

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]

+11%

524.7 µs

471.3 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]

+11%

498.4 µs

447.9 µs

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]

+11%

581.7 µs

523.6 µs

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]

+11%

526.4 µs

474.8 µs

Passed

test_elemwise[side=100-rank=2-format='gcxs'-mul]

benchmarks/test_benchmark_coo.py::test_elemwise[side=100-rank=2-format='gcxs'-mul]

+10%

5.8 ms

5.2 ms

test_elemwise_broadcast[side=100-format='gcxs'-mul]

benchmarks/test_benchmark_coo.py::test_elemwise_broadcast[side=100-format='gcxs'-mul]

+9%

6.4 ms

5.8 ms

test_elemwise[side=100-rank=2-format='gcxs'-add]

benchmarks/test_benchmark_coo.py::test_elemwise[side=100-rank=2-format='gcxs'-add]

+9%

6.7 ms

6.2 ms

test_elemwise[side=100-rank=1-format='gcxs'-mul]

benchmarks/test_benchmark_coo.py::test_elemwise[side=100-rank=1-format='gcxs'-mul]

+9%

2.7 ms

2.5 ms

test_index_scalar[side=1000-rank=2-format='gcxs']

benchmarks/test_benchmark_coo.py::test_index_scalar[side=1000-rank=2-format='gcxs']

+9%

1.3 ms

1.2 ms

test_index_scalar[side=500-rank=2-format='gcxs']

benchmarks/test_benchmark_coo.py::test_index_scalar[side=500-rank=2-format='gcxs']

+9%

1.3 ms

1.2 ms

test_index_scalar[side=100-rank=2-format='gcxs']

benchmarks/test_benchmark_coo.py::test_index_scalar[side=100-rank=2-format='gcxs']

+9%

1.3 ms

1.2 ms

test_elemwise[side=1000-rank=1-format='gcxs'-mul]

benchmarks/test_benchmark_coo.py::test_elemwise[side=1000-rank=1-format='gcxs'-mul]

+9%

2.7 ms

2.5 ms

test_elemwise[side=500-rank=1-format='gcxs'-mul]

benchmarks/test_benchmark_coo.py::test_elemwise[side=500-rank=1-format='gcxs'-mul]

+9%

2.7 ms

2.5 ms

test_index_fancy[side=100-rank=2-format='gcxs']

benchmarks/test_benchmark_coo.py::test_index_fancy[side=100-rank=2-format='gcxs']

+9%

1.9 ms

1.7 ms

test_index_scalar[side=100-rank=3-format='gcxs']

benchmarks/test_benchmark_coo.py::test_index_scalar[side=100-rank=3-format='gcxs']

+9%

1.4 ms

1.3 ms

test_elemwise[side=100-rank=1-format='gcxs'-add]

benchmarks/test_benchmark_coo.py::test_elemwise[side=100-rank=1-format='gcxs'-add]

+8%

3.4 ms

3.1 ms

test_elemwise[side=1000-rank=1-format='gcxs'-add]

benchmarks/test_benchmark_coo.py::test_elemwise[side=1000-rank=1-format='gcxs'-add]

+8%

3.4 ms

3.2 ms

test_elemwise[side=100-rank=1-format='coo'-mul]

benchmarks/test_benchmark_coo.py::test_elemwise[side=100-rank=1-format='coo'-mul]

+8%

2.2 ms

2 ms

test_elemwise[side=500-rank=1-format='gcxs'-add]

benchmarks/test_benchmark_coo.py::test_elemwise[side=500-rank=1-format='gcxs'-add]

+8%

3.4 ms

3.2 ms

test_elemwise[side=500-rank=1-format='coo'-mul]

benchmarks/test_benchmark_coo.py::test_elemwise[side=500-rank=1-format='coo'-mul]

+8%

2.2 ms

2 ms

test_elemwise[side=1000-rank=1-format='coo'-mul]

benchmarks/test_benchmark_coo.py::test_elemwise[side=1000-rank=1-format='coo'-mul]

+8%

2.2 ms

2 ms

test_matmul[m=200-n=200-p=200-gcxs]

benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=200-p=200-gcxs]

+8%

2.6 ms

2.4 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]

+8%

2.3 ms

2.1 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]

+8%

2.3 ms

2.1 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]

+8%

2.1 ms

1.9 ms

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]

+8%

2.4 ms

2.2 ms

test_elemwise[side=500-rank=1-format='coo'-add]

benchmarks/test_benchmark_coo.py::test_elemwise[side=500-rank=1-format='coo'-add]

+8%

2.9 ms

2.7 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]

+8%

2.4 ms

2.2 ms

test_elemwise[side=1000-rank=1-format='coo'-add]

benchmarks/test_benchmark_coo.py::test_elemwise[side=1000-rank=1-format='coo'-add]

+8%

2.9 ms

2.7 ms

test_elemwise[side=100-rank=2-format='coo'-mul]

benchmarks/test_benchmark_coo.py::test_elemwise[side=100-rank=2-format='coo'-mul]

+8%

2.4 ms

2.2 ms

test_elemwise[side=100-rank=1-format='coo'-add]

benchmarks/test_benchmark_coo.py::test_elemwise[side=100-rank=1-format='coo'-add]

+8%

2.9 ms

2.7 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]

+8%

2.5 ms

2.4 ms

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]

+8%

2.2 ms

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]

+8%

2.2 ms

2 ms

test_elemwise_broadcast[side=100-format='coo'-mul]

benchmarks/test_benchmark_coo.py::test_elemwise_broadcast[side=100-format='coo'-mul]

+8%

2.6 ms

2.4 ms

test_matmul[m=200-n=200-p=200-coo]

benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=200-p=200-coo]

+8%

2.5 ms

2.3 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]

+8%

3.1 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-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]

+8%

2.5 ms

2.3 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]

+8%

2.5 ms

2.3 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]

+8%

2.5 ms

2.3 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]

+7%

2.8 ms

2.6 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]

+7%

2.1 ms

2 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]

+7%

2.5 ms

2.4 ms

test_elemwise[side=100-rank=2-format='coo'-add]

benchmarks/test_benchmark_coo.py::test_elemwise[side=100-rank=2-format='coo'-add]

+7%

3.3 ms

3.1 ms

test_matmul[m=500-n=200-p=200-gcxs]

benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=200-p=200-gcxs]

+7%

5.3 ms

4.9 ms

test_index_slice[side=500-rank=2-format='gcxs']

benchmarks/test_benchmark_coo.py::test_index_slice[side=500-rank=2-format='gcxs']

+7%

2.2 ms

2.1 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]

+7%

1.6 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-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]

+7%

2.3 ms

2.2 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]

+7%

2.4 ms

2.2 ms

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]

+7%

2.4 ms

2.2 ms

test_elemwise[side=500-rank=2-format='gcxs'-mul]

benchmarks/test_benchmark_coo.py::test_elemwise[side=500-rank=2-format='gcxs'-mul]

+7%

7.6 ms

7.1 ms

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]

+7%

1.7 ms

1.5 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]

+7%

1.3 ms

1.2 ms

test_matmul[m=200-n=500-p=200-gcxs]

benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=500-p=200-gcxs]

+7%

5.4 ms

5 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]

+7%

2.3 ms

2.1 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]

+7%

2.9 ms

2.7 ms

test_index_slice[side=100-rank=1-format='gcxs']

benchmarks/test_benchmark_coo.py::test_index_slice[side=100-rank=1-format='gcxs']

+7%

752.8 µs

704 µs

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]

+7%

3.5 ms

3.3 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]

+7%

1.3 ms

1.2 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]

+7%

2.9 ms

2.7 ms

test_index_slice[side=1000-rank=1-format='gcxs']

benchmarks/test_benchmark_coo.py::test_index_slice[side=1000-rank=1-format='gcxs']

+7%

760.1 µs

711.9 µs

test_index_slice[side=500-rank=1-format='gcxs']

benchmarks/test_benchmark_coo.py::test_index_slice[side=500-rank=1-format='gcxs']

+7%

759.4 µs

711.3 µs

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]

+7%

2.4 ms

2.3 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]

+7%

1.7 ms

1.6 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]

+7%

1.3 ms

1.2 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]

+7%

2.9 ms

2.7 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]

+7%

2.7 ms

2.5 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]

+7%

1.3 ms

1.2 ms

test_matmul[m=200-n=200-p=500-gcxs]

benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=200-p=500-gcxs]

+7%

3.3 ms

3.1 ms

test_matmul[m=200-n=500-p=200-coo]

benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=500-p=200-coo]

+7%

3 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-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]

+6%

1.4 ms

1.3 ms

test_matmul[m=500-n=200-p=200-coo]

benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=200-p=200-coo]

+6%

3 ms

2.8 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]

+6%

2.7 ms

2.6 ms

test_index_scalar[side=100-rank=1-format='gcxs']

benchmarks/test_benchmark_coo.py::test_index_scalar[side=100-rank=1-format='gcxs']

+6%

548.3 µs

515.4 µs

test_index_fancy[side=100-rank=1-format='gcxs']

benchmarks/test_benchmark_coo.py::test_index_fancy[side=100-rank=1-format='gcxs']

+6%

858.7 µs

807.7 µs

test_matmul[m=1000-n=200-p=200-gcxs]

benchmarks/test_benchmark_coo.py::test_matmul[m=1000-n=200-p=200-gcxs]

+6%

6.1 ms

5.8 ms

test_index_scalar[side=500-rank=1-format='gcxs']

benchmarks/test_benchmark_coo.py::test_index_scalar[side=500-rank=1-format='gcxs']

+6%

556 µs

523.4 µs

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]

+6%

3 ms

2.8 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]

+6%

3 ms

2.9 ms

test_index_scalar[side=1000-rank=1-format='gcxs']

benchmarks/test_benchmark_coo.py::test_index_scalar[side=1000-rank=1-format='gcxs']

+6%

556.2 µs

523.7 µs

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]

+6%

1.4 ms

1.3 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]

+6%

1.9 ms

1.8 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]

+6%

2.5 ms

2.4 ms

test_index_scalar[side=100-rank=3-format='coo']

benchmarks/test_benchmark_coo.py::test_index_scalar[side=100-rank=3-format='coo']

+6%

407.9 µs

384.4 µs

test_matmul[m=500-n=500-p=200-gcxs]

benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=500-p=200-gcxs]

+6%

6.1 ms

5.8 ms

test_index_slice[side=100-rank=2-format='coo']

benchmarks/test_benchmark_coo.py::test_index_slice[side=100-rank=2-format='coo']

+6%

553 µs

521.7 µs

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]

+6%

2.8 ms

2.7 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]

+6%

2.9 ms

2.7 ms

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]

+6%

3.3 ms

3.1 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]

+6%

1.5 ms

1.4 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]

+6%

1.9 ms

1.8 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]

+6%

1.5 ms

1.4 ms

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]

+6%

1.5 ms

1.4 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]

+6%

1.9 ms

1.8 ms

test_matmul[m=200-n=200-p=500-coo]

benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=200-p=500-coo]

+6%

3.4 ms

3.2 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]

+6%

1.5 ms

1.4 ms

test_index_fancy[side=500-rank=2-format='gcxs']

benchmarks/test_benchmark_coo.py::test_index_fancy[side=500-rank=2-format='gcxs']

+6%

2.9 ms

2.7 ms

test_index_scalar[side=1000-rank=2-format='coo']

benchmarks/test_benchmark_coo.py::test_index_scalar[side=1000-rank=2-format='coo']

+6%

342.1 µs

324 µs

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]

+6%

1.5 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]

+6%

1.5 ms

test_index_slice[side=100-rank=3-format='gcxs']

benchmarks/test_benchmark_coo.py::test_index_slice[side=100-rank=3-format='gcxs']

+6%

3.1 ms

2.9 ms

test_index_slice[side=500-rank=1-format='coo']

benchmarks/test_benchmark_coo.py::test_index_slice[side=500-rank=1-format='coo']

+6%

453.9 µs

430.1 µs

test_matmul[m=200-n=1000-p=200-gcxs]

benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=1000-p=200-gcxs]

+6%

6.9 ms

6.5 ms

test_index_scalar[side=100-rank=2-format='coo']

benchmarks/test_benchmark_coo.py::test_index_scalar[side=100-rank=2-format='coo']

+6%

341.9 µs

324 µs

test_index_scalar[side=500-rank=2-format='coo']

benchmarks/test_benchmark_coo.py::test_index_scalar[side=500-rank=2-format='coo']

+5%

342 µs

324.4 µs

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]

+5%

2.8 ms

2.6 ms

test_index_slice[side=100-rank=1-format='coo']

benchmarks/test_benchmark_coo.py::test_index_slice[side=100-rank=1-format='coo']

+5%

476.5 µs

452.2 µs

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]

+5%

3.8 ms

3.6 ms

test_matmul[m=200-n=500-p=500-gcxs]

benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=500-p=500-gcxs]

+5%

3.9 ms

3.7 ms

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]

+5%

3.9 ms

3.7 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]

+5%

3.9 ms

3.7 ms

test_index_slice[side=1000-rank=1-format='coo']

benchmarks/test_benchmark_coo.py::test_index_slice[side=1000-rank=1-format='coo']

+5%

478.3 µs

454.3 µs

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]

+5%

4.7 ms

4.4 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]

+5%

3.1 ms

2.9 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]

+5%

2.9 ms

2.8 ms

test_matmul[m=500-n=200-p=500-gcxs]

benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=200-p=500-gcxs]

+5%

7.2 ms

6.8 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]

+5%

1.8 ms

1.7 ms

test_matmul[m=200-n=200-p=1000-gcxs]

benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=200-p=1000-gcxs]

+5%

4.1 ms

3.9 ms

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]

+5%

3.7 ms

3.5 ms

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]

+5%

2.4 ms

2.3 ms

test_elemwise[side=500-rank=2-format='gcxs'-add]

benchmarks/test_benchmark_coo.py::test_elemwise[side=500-rank=2-format='gcxs'-add]

+5%

11.7 ms

11.1 ms

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]

+5%

3.7 ms

3.5 ms

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]

+5%

1.9 ms

1.8 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]

+5%

3.7 ms

3.5 ms

test_matmul[m=1000-n=200-p=200-coo]

benchmarks/test_benchmark_coo.py::test_matmul[m=1000-n=200-p=200-coo]

+5%

3.7 ms

3.6 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]

+5%

1.9 ms

1.8 ms

test_matmul[m=500-n=1000-p=200-gcxs]

benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=1000-p=200-gcxs]

+5%

8.3 ms

7.9 ms

test_elemwise[side=500-rank=2-format='coo'-mul]

benchmarks/test_benchmark_coo.py::test_elemwise[side=500-rank=2-format='coo'-mul]

+5%

3.9 ms

3.7 ms

test_matmul[m=200-n=500-p=500-coo]

benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=500-p=500-coo]

+5%

4.5 ms

4.3 ms

test_index_fancy[side=100-rank=2-format='coo']

benchmarks/test_benchmark_coo.py::test_index_fancy[side=100-rank=2-format='coo']

+5%

722.9 µs

688.9 µs

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]

+5%

1.5 ms

1.4 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]

+5%

1.5 ms

1.4 ms

test_matmul[m=500-n=500-p=500-gcxs]

benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=500-p=500-gcxs]

+5%

6.2 ms

6 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]

+5%

2.3 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']

+5%

275.5 µs

263.3 µs

test_index_scalar[side=100-rank=1-format='coo']

benchmarks/test_benchmark_coo.py::test_index_scalar[side=100-rank=1-format='coo']

+5%

274.2 µs

262.1 µs

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]

+5%

2.5 ms

2.4 ms

test_index_slice[side=500-rank=2-format='coo']

benchmarks/test_benchmark_coo.py::test_index_slice[side=500-rank=2-format='coo']

+5%

784.1 µs

750.1 µs

test_matmul[m=500-n=500-p=200-coo]

benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=500-p=200-coo]

+5%

4.1 ms

3.9 ms

test_index_scalar[side=500-rank=1-format='coo']

benchmarks/test_benchmark_coo.py::test_index_scalar[side=500-rank=1-format='coo']

+5%

275.1 µs

263.2 µs

test_matmul[m=200-n=200-p=1000-coo]

benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=200-p=1000-coo]

+4%

4.6 ms

4.4 ms

test_matmul[m=200-n=500-p=1000-gcxs]

benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=500-p=1000-gcxs]

+4%

5.5 ms

5.2 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]

+4%

6.2 ms

6 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]

+4%

2 ms

1.9 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]

+4%

2 ms

1.9 ms

test_matmul[m=200-n=1000-p=200-coo]

benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=1000-p=200-coo]

+4%

3.8 ms

3.6 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]

+4%

3.6 ms

3.4 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]

+4%

1.9 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]

+4%

6.1 ms

5.8 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]

+4%

5.4 ms

5.2 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]

+4%

8 ms

7.7 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]

+4%

2.1 ms

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]

+4%

13.1 ms

12.6 ms

test_matmul[m=200-n=1000-p=500-gcxs]

benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=1000-p=500-gcxs]

+4%

11.6 ms

11.1 ms

test_matmul[m=1000-n=200-p=500-gcxs]

benchmarks/test_benchmark_coo.py::test_matmul[m=1000-n=200-p=500-gcxs]

+4%

9.3 ms

9 ms

test_index_fancy[side=500-rank=1-format='gcxs']

benchmarks/test_benchmark_coo.py::test_index_fancy[side=500-rank=1-format='gcxs']

+4%

1.3 ms

1.2 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]

+4%

2.1 ms

2 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]

+4%

1.9 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]

+4%

4.9 ms

4.7 ms

test_matmul[m=1000-n=500-p=200-gcxs]

benchmarks/test_benchmark_coo.py::test_matmul[m=1000-n=500-p=200-gcxs]

+4%

5.4 ms

5.2 ms

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]

+4%

1.9 ms

1.8 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]

+4%

1.9 ms

1.8 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]

+4%

2.4 ms

2.3 ms

test_matmul[m=500-n=200-p=500-coo]

benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=200-p=500-coo]

+4%

5 ms

4.9 ms

test_elemwise[side=100-rank=3-format='gcxs'-mul]

benchmarks/test_benchmark_coo.py::test_elemwise[side=100-rank=3-format='gcxs'-mul]

+4%

15.7 ms

15.1 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]

+4%

2.8 ms

2.7 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]

+4%

2.8 ms

2.7 ms

test_index_slice[side=1000-rank=2-format='gcxs']

benchmarks/test_benchmark_coo.py::test_index_slice[side=1000-rank=2-format='gcxs']

+4%

3.8 ms

3.7 ms

test_matmul[m=1000-n=1000-p=200-gcxs]

benchmarks/test_benchmark_coo.py::test_matmul[m=1000-n=1000-p=200-gcxs]

+4%

10.6 ms

10.2 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]

+4%

2.6 ms

2.5 ms

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]

+4%

2.9 ms

2.8 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]

+4%

2.7 ms

2.6 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]

+4%

2 ms

1.9 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]

+4%

2 ms

1.9 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]

+4%

4.9 ms

4.7 ms

test_elemwise_broadcast[side=500-format='gcxs'-mul]

benchmarks/test_benchmark_coo.py::test_elemwise_broadcast[side=500-format='gcxs'-mul]

+3%

18.9 ms

18.3 ms

test_matmul[m=500-n=200-p=1000-gcxs]

benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=200-p=1000-gcxs]

+3%

10.4 ms

10.1 ms

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]

+3%

5.4 ms

5.2 ms

test_index_slice[side=100-rank=3-format='coo']

benchmarks/test_benchmark_coo.py::test_index_slice[side=100-rank=3-format='coo']

+3%

1.2 ms

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]

+3%

5.2 ms

5 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]

+3%

11.6 ms

11.2 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]

+3%

3.4 ms

3.3 ms

test_elemwise[side=500-rank=2-format='coo'-add]

benchmarks/test_benchmark_coo.py::test_elemwise[side=500-rank=2-format='coo'-add]

+3%

7.1 ms

6.9 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]

+3%

3.7 ms

3.6 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]

+3%

10.8 ms

10.4 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]

+3%

3.5 ms

3.4 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]

+3%

2.9 ms

2.8 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]

+3%

5.2 ms

5.1 ms

test_matmul[m=500-n=1000-p=200-coo]

benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=1000-p=200-coo]

+3%

5.9 ms

5.8 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]

+3%

2.4 ms

2.3 ms

test_elemwise_broadcast[side=100-format='gcxs'-add]

benchmarks/test_benchmark_coo.py::test_elemwise_broadcast[side=100-format='gcxs'-add]

+3%

20.7 ms

20.1 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]

+3%

2.4 ms

2.3 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]

+3%

2.4 ms

2.3 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]

+3%

2.4 ms

2.3 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]

+3%

4.7 ms

4.5 ms

test_matmul[m=200-n=1000-p=500-coo]

benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=1000-p=500-coo]

+3%

6.4 ms

6.2 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]

+3%

2.5 ms

2.4 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]

+3%

2.5 ms

2.4 ms

test_index_fancy[side=1000-rank=1-format='gcxs']

benchmarks/test_benchmark_coo.py::test_index_fancy[side=1000-rank=1-format='gcxs']

+3%

1.8 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]

+3%

3.3 ms

3.2 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]

+3%

3 ms

2.9 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]

+3%

3 ms

2.9 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]

+3%

3 ms

2.9 ms

test_matmul[m=200-n=1000-p=1000-gcxs]

benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=1000-p=1000-gcxs]

+3%

7.4 ms

7.2 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]

+3%

10.7 ms

10.4 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]

+3%

3.4 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=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]

+3%

5.3 ms

5.2 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]

+3%

3.8 ms

3.7 ms

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]

+3%

10.2 ms

9.9 ms

test_index_fancy[side=500-rank=1-format='coo']

benchmarks/test_benchmark_coo.py::test_index_fancy[side=500-rank=1-format='coo']

+3%

995.4 µs

969.5 µs

test_matmul[m=1000-n=200-p=1000-gcxs]

benchmarks/test_benchmark_coo.py::test_matmul[m=1000-n=200-p=1000-gcxs]

+3%

14.7 ms

14.3 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]

+3%

689.9 µs

672.1 µs

test_matmul[m=1000-n=500-p=500-gcxs]

benchmarks/test_benchmark_coo.py::test_matmul[m=1000-n=500-p=500-gcxs]

+3%

13.9 ms

13.5 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]

+3%

10 ms

9.7 ms

test_matmul[m=500-n=1000-p=500-gcxs]

benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=1000-p=500-gcxs]

+3%

15.3 ms

14.9 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]

+3%

2.8 ms

test_matmul[m=1000-n=500-p=200-coo]

benchmarks/test_benchmark_coo.py::test_matmul[m=1000-n=500-p=200-coo]

+3%

5.8 ms

5.7 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]

+3%

2.8 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]

+2%

3.7 ms

3.6 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]

+2%

6.7 ms

6.5 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]

+2%

3 ms

test_elemwise_broadcast[side=500-format='coo'-mul]

benchmarks/test_benchmark_coo.py::test_elemwise_broadcast[side=500-format='coo'-mul]

+2%

12.1 ms

11.8 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]

+2%

3 ms

test_elemwise[side=1000-rank=2-format='coo'-mul]

benchmarks/test_benchmark_coo.py::test_elemwise[side=1000-rank=2-format='coo'-mul]

+2%

8.3 ms

8.1 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]

+2%

5.9 ms

5.8 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]

+2%

3.3 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]

+2%

6.7 ms

6.6 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]

+2%

3.3 ms

3.2 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]

+2%

3.2 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]

+2%

3.3 ms

3.2 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]

+2%

4.2 ms

test_elemwise[side=100-rank=3-format='coo'-mul]

benchmarks/test_benchmark_coo.py::test_elemwise[side=100-rank=3-format='coo'-mul]

+2%

9 ms

8.8 ms

test_index_fancy[side=500-rank=2-format='coo']

benchmarks/test_benchmark_coo.py::test_index_fancy[side=500-rank=2-format='coo']

+2%

1.7 ms

test_matmul[m=500-n=500-p=1000-gcxs]

benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=500-p=1000-gcxs]

+2%

9.8 ms

9.6 ms

test_elemwise[side=1000-rank=2-format='gcxs'-add]

benchmarks/test_benchmark_coo.py::test_elemwise[side=1000-rank=2-format='gcxs'-add]

+2%

27.5 ms

27 ms

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]

+2%

667.4 µs

654.1 µs

test_elemwise_broadcast[side=100-format='coo'-add]

benchmarks/test_benchmark_coo.py::test_elemwise_broadcast[side=100-format='coo'-add]

+2%

13.1 ms

12.8 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]

+2%

3.6 ms

3.5 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]

+2%

4.6 ms

4.5 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]

+2%

4.6 ms

4.5 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]

+2%

3.6 ms

3.5 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]

+2%

4.6 ms

4.5 ms

test_elemwise[side=1000-rank=2-format='coo'-add]

benchmarks/test_benchmark_coo.py::test_elemwise[side=1000-rank=2-format='coo'-add]

+2%

19.3 ms

19 ms

test_matmul[m=500-n=200-p=1000-coo]

benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=200-p=1000-coo]

+2%

7.7 ms

7.6 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]

+2%

4.4 ms

4.3 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]

+2%

9.2 ms

9 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]

+2%

3.8 ms

3.7 ms

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]

+2%

3.8 ms

3.7 ms

test_matmul[m=1000-n=200-p=500-coo]

benchmarks/test_benchmark_coo.py::test_matmul[m=1000-n=200-p=500-coo]

+2%

7.7 ms

7.6 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]

+2%

4.9 ms

test_matmul[m=500-n=500-p=500-coo]

benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=500-p=500-coo]

+2%

7.5 ms

7.4 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]

+2%

3.9 ms

test_matmul[m=200-n=1000-p=1000-coo]

benchmarks/test_benchmark_coo.py::test_matmul[m=200-n=1000-p=1000-coo]

+2%

10.3 ms

10.1 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]

+2%

6.5 ms

6.4 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]

+2%

3.9 ms

test_matmul[m=1000-n=1000-p=500-gcxs]

benchmarks/test_benchmark_coo.py::test_matmul[m=1000-n=1000-p=500-gcxs]

+2%

21.7 ms

21.3 ms

test_elemwise_broadcast[side=1000-format='coo'-mul]

benchmarks/test_benchmark_coo.py::test_elemwise_broadcast[side=1000-format='coo'-mul]

+2%

75.6 ms

74.3 ms

test_index_slice[side=1000-rank=2-format='coo']

benchmarks/test_benchmark_coo.py::test_index_slice[side=1000-rank=2-format='coo']

+2%

1.4 ms

test_index_fancy[side=1000-rank=1-format='coo']

benchmarks/test_benchmark_coo.py::test_index_fancy[side=1000-rank=1-format='coo']

+2%

1.5 ms

test_matmul[m=1000-n=500-p=1000-gcxs]

benchmarks/test_benchmark_coo.py::test_matmul[m=1000-n=500-p=1000-gcxs]

+2%

23.8 ms

23.5 ms

test_matmul[m=500-n=1000-p=500-coo]

benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=1000-p=500-coo]

+2%

11.7 ms

11.5 ms

test_matmul[m=1000-n=1000-p=200-coo]

benchmarks/test_benchmark_coo.py::test_matmul[m=1000-n=1000-p=200-coo]

+2%

9.5 ms

9.4 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]

+2%

4.5 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]

+2%

860.5 µs

847.4 µs

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]

+2%

4.5 ms

test_matmul[m=1000-n=200-p=1000-coo]

benchmarks/test_benchmark_coo.py::test_matmul[m=1000-n=200-p=1000-coo]

+2%

13.2 ms

13 ms

test_elemwise[side=100-rank=3-format='gcxs'-add]

benchmarks/test_benchmark_coo.py::test_elemwise[side=100-rank=3-format='gcxs'-add]

+1%

31.5 ms

31 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]

+1%

4.8 ms

4.7 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]

+1%

4.8 ms

4.7 ms

test_elemwise[side=100-rank=3-format='coo'-add]

benchmarks/test_benchmark_coo.py::test_elemwise[side=100-rank=3-format='coo'-add]

+1%

21.1 ms

20.8 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]

+1%

6.4 ms

6.3 ms

test_matmul[m=500-n=1000-p=1000-gcxs]

benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=1000-p=1000-gcxs]

+1%

14.7 ms

14.5 ms

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]

+1%

6.6 ms

6.5 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]

+1%

6.9 ms

6.8 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]

+1%

683.3 µs

674.1 µs

test_matmul[m=500-n=500-p=1000-coo]

benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=500-p=1000-coo]

+1%

12.8 ms

12.6 ms

test_matmul[m=1000-n=500-p=500-coo]

benchmarks/test_benchmark_coo.py::test_matmul[m=1000-n=500-p=500-coo]

+1%

12.8 ms

12.7 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]

+1%

17.1 ms

16.9 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]

+1%

5.6 ms

5.5 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]

+1%

5.6 ms

5.5 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]

+1%

5.7 ms

5.6 ms

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]

+1%

5.7 ms

5.6 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]

+1%

7.4 ms

7.3 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]

+1%

7.3 ms

7.2 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]

+1%

6.1 ms

6 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]

+1%

6.1 ms

test_index_fancy[side=100-rank=3-format='coo']

benchmarks/test_benchmark_coo.py::test_index_fancy[side=100-rank=3-format='coo']

+1%

3 ms

2.9 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]

+1%

6.2 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]

+1%

6.2 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]

+1%

8 ms

7.9 ms

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]

+1%

710.2 µs

702.4 µs

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]

+1%

6.7 ms

6.6 ms

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]

+1%

6.7 ms

6.6 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]

+1%

8.4 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]

+1%

9.7 ms

9.6 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]

+1%

8.5 ms

8.4 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]

+1%

680.5 µs

674.4 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]

+1%

1.5 ms

1.4 ms

test_matmul[m=1000-n=1000-p=500-coo]

benchmarks/test_benchmark_coo.py::test_matmul[m=1000-n=1000-p=500-coo]

+1%

21 ms

20.8 ms

test_matmul[m=500-n=1000-p=1000-coo]

benchmarks/test_benchmark_coo.py::test_matmul[m=500-n=1000-p=1000-coo]

+1%

21.1 ms

20.9 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]

+1%

10.5 ms

10.4 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]

+1%

8.2 ms

8.1 ms

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]

+1%

8.2 ms

8.1 ms

test_elemwise_broadcast[side=1000-format='gcxs'-mul]

benchmarks/test_benchmark_coo.py::test_elemwise_broadcast[side=1000-format='gcxs'-mul]

+1%

102.9 ms

102.1 ms

test_matmul[m=1000-n=500-p=1000-coo]

benchmarks/test_benchmark_coo.py::test_matmul[m=1000-n=500-p=1000-coo]

+1%

22.7 ms

22.6 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]

+1%

8.8 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]

+1%

8.8 ms

8.7 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]

+1%

11.8 ms

11.7 ms

test_index_fancy[side=100-rank=3-format='gcxs']

benchmarks/test_benchmark_coo.py::test_index_fancy[side=100-rank=3-format='gcxs']

+1%

6.5 ms

test_matmul[m=1000-n=1000-p=1000-gcxs]

benchmarks/test_benchmark_coo.py::test_matmul[m=1000-n=1000-p=1000-gcxs]

+1%

27.3 ms

27.1 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 ms

5.9 ms

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]

+1%

15.5 ms

15.4 ms

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]

+1%

14.1 ms

14 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]

+1%

10.8 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]

+1%

10.8 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]

+1%

12 ms

11.9 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]

+1%

13.7 ms

13.6 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]

+1%

12.2 ms

12.1 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]

+1%

12.5 ms

12.4 ms

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]

+1%

13.7 ms

13.6 ms

test_matmul[m=1000-n=1000-p=1000-coo]

benchmarks/test_benchmark_coo.py::test_matmul[m=1000-n=1000-p=1000-coo]

39.4 ms

39.2 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]

1.4 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]

21.1 ms

21 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]

19.2 ms

19.1 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]

18.9 ms

18.8 ms

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]

19.7 ms

19.6 ms

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]

33.4 ms

33.3 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]

859.6 µs

858.3 µs

test_elemwise_broadcast[side=500-format='gcxs'-add]

benchmarks/test_benchmark_coo.py::test_elemwise_broadcast[side=500-format='gcxs'-add]

2.6 s

test_elemwise_broadcast[side=500-format='coo'-add]

benchmarks/test_benchmark_coo.py::test_elemwise_broadcast[side=500-format='coo'-add]

1.7 s

test_elemwise_broadcast[side=1000-format='gcxs'-add]

benchmarks/test_benchmark_coo.py::test_elemwise_broadcast[side=1000-format='gcxs'-add]

22.4 s

test_elemwise_broadcast[side=1000-format='coo'-add]

benchmarks/test_benchmark_coo.py::test_elemwise_broadcast[side=1000-format='coo'-add]

14.9 s

test_index_fancy[side=1000-rank=2-format='coo']

benchmarks/test_benchmark_coo.py::test_index_fancy[side=1000-rank=2-format='coo']

3.9 ms

test_index_slice[side=100-rank=2-format='gcxs']

benchmarks/test_benchmark_coo.py::test_index_slice[side=100-rank=2-format='gcxs']

-6%

2.6 ms

2.7 ms

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[pre-commit.ci] pre-commit autoupdate updates: - [github.com/astral-sh/ruff-pre-commit: v0.11.5 → v0.11.8](https://github.com/astral-sh/ruff-pre-commit/compare/v0.11.5...v0.11.8)

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