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author | Eric Wieser <wieser.eric@gmail.com> | 2019-03-11 23:49:54 -0700 |
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committer | Eric Wieser <wieser.eric@gmail.com> | 2019-03-16 10:04:58 -0700 |
commit | 0764929543c85decde9d664367dbf7d8f137fe1f (patch) | |
tree | 54901a64ac4fec1a52ab48808767309fc7ce4cab /numpy/lib/tests/test_function_base.py | |
parent | 5646b46341240ddecc1692d21610e49125b4b16e (diff) | |
download | numpy-0764929543c85decde9d664367dbf7d8f137fe1f.tar.gz |
DEP: polynomial: Be stricter about integral arguments
This changes the behavior for:
* The `deg` and `axis` arguments of `<type>der`
* The `deg` and `axis` arguments of `<type>int`
* The `deg` argument of `<type>gauss`
* The `deg` argument of `<type>vander2d`
* The `deg` argument of `<type>vander3d`
The old behavior was:
* Raise `ValueError` if the argument is a float, but not an integral one
* Allow a float like `1.0` to mean `1`.
This is inconsistent with most other integer-accepting APIs in numpy, which require these to be actual integers, and raise TypeError when they are not.
The new behavior is:
* Raise `TypeError` if the argument is a float, but not an integral one
* Emit a `DeprecationWarning` if a float like `1.0` is passed, continuing to allow it its old meaning.
Diffstat (limited to 'numpy/lib/tests/test_function_base.py')
0 files changed, 0 insertions, 0 deletions