MAINT: use copy=False in a few astype() calls#5909
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jaimefrio merged 3 commits intonumpy:masterfrom May 22, 2015
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numpy/linalg/linalg.py
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Did you miss the copy=False here?
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There is no copy=False for astype of a numpy scalar, I think.
>>> import numpy as np
>>> np.float64(42).astype(float)
42.0
>>> np.float64(42).astype(float, copy=False)
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
TypeError: astype() takes no keyword arguments
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Ah, I see... There also seem to be tests that would catch if someone tried to introduce that optimization in the future, so I guess it is OK.
Perhaps it is worth a comment? What about branching on np.isscalar(r)?
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OK I've added this in the most recent commit. |
jaimefrio
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MAINT: use copy=False in a few astype() calls
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Merged, thanks! |
eric-wieser
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Nov 9, 2017
This takes numpygh-5909 a little further.
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This is like scikit-learn/scikit-learn#4573. I wasn't able to see any quantifiable speed or memory improvements.