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| author | Oleksandr Pavlyk <oleksandr.pavlyk@intel.com> | 2017-09-18 10:04:37 -0500 |
|---|---|---|
| committer | Oleksandr Pavlyk <oleksandr.pavlyk@intel.com> | 2017-09-28 12:15:36 -0500 |
| commit | 8acb0f7e73be9b8e797ffbe1bdce4d7076202183 (patch) | |
| tree | 2e9224ad858a40212d10abed085be498cdc21b7f /numpy/lib/tests/test_function_base.py | |
| parent | 1e45fd9ea1a72cb03a0bab79d30134ef9b7106be (diff) | |
| download | numpy-8acb0f7e73be9b8e797ffbe1bdce4d7076202183.tar.gz | |
MAINT: When delta is a NumPy scalar, do multiplication in-place
This is faster and more memory efficient.
Out-of-place operation was preventing me from using linspace
to create over 2**31 equispaced doubles on my machine due to
insufficient memory.
Diffstat (limited to 'numpy/lib/tests/test_function_base.py')
0 files changed, 0 insertions, 0 deletions