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fix-fmt
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chore: adopt numpy 2 string formatting
#133
fix-fmt
2 days ago
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Benchmarks
test_to_dense_benchmark[scipy.sparse.csc_array-float32-C]
tests/test_sparse.py
37.6 ms
test_to_dense_benchmark[scipy.sparse.csc_matrix-float64-C]
tests/test_sparse.py
40.5 ms
test_to_dense_benchmark[scipy.sparse.csc_array-float32-F]
tests/test_sparse.py
37.6 ms
test_to_dense_benchmark[scipy.sparse.csc_matrix-float32-C]
tests/test_sparse.py
37.6 ms
test_to_dense_benchmark[scipy.sparse.csr_array-float32-C]
tests/test_sparse.py
37.5 ms
test_to_dense_benchmark[scipy.sparse.csr_array-float32-F]
tests/test_sparse.py
37.6 ms
test_to_dense_benchmark[scipy.sparse.csc_array-float64-F]
tests/test_sparse.py
40.5 ms
test_to_dense_benchmark[scipy.sparse.csr_array-float64-C]
tests/test_sparse.py
40.6 ms
test_to_dense_benchmark[scipy.sparse.csc_matrix-float32-F]
tests/test_sparse.py
37.6 ms
test_to_dense_benchmark[scipy.sparse.csr_matrix-float32-C]
tests/test_sparse.py
37.6 ms
test_to_dense_benchmark[scipy.sparse.csr_matrix-float32-F]
tests/test_sparse.py
37.6 ms
test_to_dense_benchmark[scipy.sparse.csr_array-float64-F]
tests/test_sparse.py
40.5 ms
test_stats_benchmark[numpy.ndarray-1d-all-float32-is_constant]
tests/test_stats.py
2.6 ms
test_to_dense_benchmark[scipy.sparse.csr_matrix-float64-F]
tests/test_sparse.py
40.5 ms
test_to_dense_benchmark[scipy.sparse.csr_matrix-float64-C]
tests/test_sparse.py
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test_to_dense_benchmark[scipy.sparse.csc_matrix-float64-F]
tests/test_sparse.py
40.5 ms
test_stats_benchmark[numpy.ndarray-1d-all-float32-mean]
tests/test_stats.py
2.9 ms
test_stats_benchmark[numpy.ndarray-2d-ax1-int32-max]
tests/test_stats.py
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test_to_dense_benchmark[scipy.sparse.csc_array-float64-C]
tests/test_sparse.py
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test_stats_benchmark[numpy.ndarray-2d-ax1-int32-mean]
tests/test_stats.py
4 ms
test_stats_benchmark[scipy.sparse.csc_array-2d-ax1-int32-mean_var]
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test_stats_benchmark[scipy.sparse.csc_array-1d-all-float32-mean_var]
tests/test_stats.py
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tests/test_stats.py
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test_stats_benchmark[scipy.sparse.csc_array-2d-ax1-int32-is_constant]
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test_stats_benchmark[numpy.ndarray-2d-ax1-int32-min]
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test_stats_benchmark[numpy.ndarray-1d-all-float32-mean_var]
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test_stats_benchmark[scipy.sparse.csc_array-2d-ax1-int32-mean]
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test_stats_benchmark[numpy.ndarray-2d-ax1-int32-sum]
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test_stats_benchmark[scipy.sparse.csc_array-2d-ax1-int32-max]
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test_stats_benchmark[scipy.sparse.csc_array-1d-all-float64-max]
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test_stats_benchmark[numpy.ndarray-1d-all-float64-is_constant]
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test_stats_benchmark[scipy.sparse.csc_array-2d-ax1-int32-sum]
tests/test_stats.py
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tests/test_stats.py
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test_stats_benchmark[numpy.ndarray-1d-all-int32-mean_var]
tests/test_stats.py
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tests/test_stats.py
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tests/test_stats.py
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tests/test_stats.py
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tests/test_stats.py
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tests/test_stats.py
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tests/test_stats.py
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tests/test_stats.py
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tests/test_stats.py
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tests/test_stats.py
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tests/test_stats.py
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tests/test_stats.py
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tests/test_stats.py
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tests/test_stats.py
769.3 µs
test_stats_benchmark[scipy.sparse.csr_array-2d-ax1-float32-sum]
tests/test_stats.py
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tests/test_stats.py
8.6 ms
test_stats_benchmark[scipy.sparse.csr_array-2d-ax1-float64-sum]
tests/test_stats.py
5.9 ms
test_stats_benchmark[scipy.sparse.csc_array-2d-ax0-float64-max]
tests/test_stats.py
10.3 ms
test_stats_benchmark[scipy.sparse.csr_array-2d-ax1-float64-mean_var]
tests/test_stats.py
7.9 ms
test_stats_benchmark[scipy.sparse.csc_array-2d-ax0-float32-mean]
tests/test_stats.py
3.9 ms
test_stats_benchmark[scipy.sparse.csc_array-2d-ax0-float64-mean]
tests/test_stats.py
5.9 ms
test_stats_benchmark[scipy.sparse.csc_array-2d-ax0-float64-mean_var]
tests/test_stats.py
7.9 ms
test_stats_benchmark[numpy.ndarray-2d-ax0-float64-max]
tests/test_stats.py
4.5 ms
test_stats_benchmark[scipy.sparse.csc_array-2d-ax0-float64-is_constant]
tests/test_stats.py
765.7 µs
test_stats_benchmark[scipy.sparse.csc_array-2d-ax0-int32-min]
tests/test_stats.py
7.7 ms
test_stats_benchmark[scipy.sparse.csc_array-2d-ax0-float64-sum]
tests/test_stats.py
5.9 ms
test_stats_benchmark[scipy.sparse.csc_array-2d-ax1-float32-sum]
tests/test_stats.py
8.5 ms
test_stats_benchmark[numpy.ndarray-2d-ax0-float64-sum]
tests/test_stats.py
4.4 ms
test_stats_benchmark[scipy.sparse.csr_array-2d-ax1-int32-min]
tests/test_stats.py
7.7 ms
test_stats_benchmark[numpy.ndarray-2d-ax0-float64-mean]
tests/test_stats.py
4.4 ms
test_stats_benchmark[scipy.sparse.csc_array-2d-ax0-float32-mean_var]
tests/test_stats.py
6.4 ms
test_stats_benchmark[scipy.sparse.csc_array-2d-ax0-float64-min]
tests/test_stats.py
10.1 ms
test_stats_benchmark[numpy.ndarray-2d-ax0-int32-is_constant]
tests/test_stats.py
3.6 ms
test_stats_benchmark[scipy.sparse.csc_array-2d-ax1-float32-mean_var]
tests/test_stats.py
18.7 ms
test_stats_benchmark[numpy.ndarray-2d-ax0-float64-min]
tests/test_stats.py
4.5 ms
test_stats_benchmark[scipy.sparse.csc_array-2d-ax0-int32-mean_var]
tests/test_stats.py
6.2 ms
test_stats_benchmark[scipy.sparse.csc_array-2d-ax0-int32-is_constant]
tests/test_stats.py
766.8 µs
test_stats_benchmark[scipy.sparse.csc_array-2d-ax0-int32-sum]
tests/test_stats.py
11.5 ms
test_stats_benchmark[scipy.sparse.csc_array-2d-ax1-float32-is_constant]
tests/test_stats.py
22.9 ms
test_stats_benchmark[scipy.sparse.csc_array-2d-ax0-int32-max]
tests/test_stats.py
7.7 ms
test_stats_benchmark[scipy.sparse.csr_array-2d-ax1-int32-mean]
tests/test_stats.py
11.6 ms
test_stats_benchmark[scipy.sparse.csr_array-2d-ax1-int32-sum]
tests/test_stats.py
11.5 ms
test_stats_benchmark[scipy.sparse.csc_array-2d-ax1-float32-max]
tests/test_stats.py
29 ms
test_stats_benchmark[scipy.sparse.csc_array-2d-ax1-float64-mean_var]
tests/test_stats.py
20.3 ms
test_stats_benchmark[scipy.sparse.csr_array-2d-ax1-int32-mean_var]
tests/test_stats.py
6.1 ms
test_stats_benchmark[scipy.sparse.csc_array-2d-ax1-float32-mean]
tests/test_stats.py
8.5 ms
test_stats_benchmark[scipy.sparse.csc_array-2d-ax0-int32-mean]
tests/test_stats.py
11.6 ms
test_stats_benchmark[numpy.ndarray-2d-ax0-int32-mean_var]
tests/test_stats.py
8.3 ms
test_stats_benchmark[scipy.sparse.csc_array-2d-ax1-float64-max]
tests/test_stats.py
35.5 ms
test_stats_benchmark[numpy.ndarray-2d-ax1-float32-min]
tests/test_stats.py
2.2 ms
test_stats_benchmark[scipy.sparse.csc_array-2d-ax1-float64-is_constant]
tests/test_stats.py
26.7 ms
test_stats_benchmark[scipy.sparse.csc_array-2d-ax1-float64-sum]
tests/test_stats.py
10.9 ms
test_stats_benchmark[numpy.ndarray-2d-ax1-float32-mean]
tests/test_stats.py
2.9 ms
test_stats_benchmark[scipy.sparse.csc_array-2d-ax1-float64-mean]
tests/test_stats.py
11 ms
test_stats_benchmark[scipy.sparse.csc_array-2d-ax1-float32-min]
tests/test_stats.py
28.8 ms
test_stats_benchmark[numpy.ndarray-2d-ax0-int32-max]
tests/test_stats.py
2.2 ms
test_stats_benchmark[numpy.ndarray-2d-ax1-float32-max]
tests/test_stats.py
2.2 ms
test_stats_benchmark[numpy.ndarray-2d-ax1-float64-is_constant]
tests/test_stats.py
6.2 ms
test_stats_benchmark[numpy.ndarray-2d-ax1-float32-is_constant]
tests/test_stats.py
3.5 ms
test_stats_benchmark[numpy.ndarray-2d-ax0-int32-min]
tests/test_stats.py
2.2 ms
test_stats_benchmark[numpy.ndarray-2d-ax1-float32-mean_var]
tests/test_stats.py
9.2 ms
test_stats_benchmark[numpy.ndarray-2d-ax0-int32-mean]
tests/test_stats.py
4.2 ms
test_stats_benchmark[scipy.sparse.csc_array-2d-ax1-float64-min]
tests/test_stats.py
35.3 ms
test_stats_benchmark[numpy.ndarray-2d-ax1-float64-max]
tests/test_stats.py
4.2 ms
test_stats_benchmark[numpy.ndarray-2d-ax1-float64-mean_var]
tests/test_stats.py
17.3 ms
test_stats_benchmark[numpy.ndarray-2d-ax1-float64-mean]
tests/test_stats.py
4.7 ms
test_stats_benchmark[numpy.ndarray-2d-ax1-float64-min]
tests/test_stats.py
4.2 ms
test_stats_benchmark[numpy.ndarray-2d-ax1-float64-sum]
tests/test_stats.py
4.7 ms
test_stats_benchmark[numpy.ndarray-2d-ax0-int32-sum]
tests/test_stats.py
4.2 ms
test_stats_benchmark[numpy.ndarray-2d-ax1-float32-sum]
tests/test_stats.py
2.8 ms
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