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| author | David Warde-Farley <wardefar@iro.umontreal.ca> | 2012-10-25 15:32:25 -0400 |
|---|---|---|
| committer | Charles Harris <charlesr.harris@gmail.com> | 2013-06-08 17:20:22 -0600 |
| commit | d661960b3489c83485a3aa83e909e2ee603e7422 (patch) | |
| tree | 03a7129f16b145431fc50acfdaa6735ba443cb6f /numpy/core/setup_common.py | |
| parent | 8dcf3979780819db9eb2fe912aa0275f7424d50e (diff) | |
| download | numpy-d661960b3489c83485a3aa83e909e2ee603e7422.tar.gz | |
BUG: copy.(deep)copy should preserve F-contiguity
Currently, copy.deepcopy() on certain objects in scikit-learn results
in the copied object being broken, as underlying methods depend on
members being F-contiguous. I can think of no reason that F-contiguous
arrays should not remain F-contiguous through a copy.copy/copy.deepcopy,
therefore this alters the methods to use NPY_KEEPORDER when allocating
the copy.
Diffstat (limited to 'numpy/core/setup_common.py')
0 files changed, 0 insertions, 0 deletions