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authorRalf Gommers <ralf.gommers@gmail.com>2019-06-26 16:44:08 -0700
committerRalf Gommers <ralf.gommers@gmail.com>2019-06-26 16:44:08 -0700
commit456d2ebf75204f6fd82ca1cc9d656fedc307562d (patch)
treed676d1d06801c0838b2c8efa7dd6b9a30fde02e5 /doc/source
parentaa1955f0a9d79c94aa067b1cbb147fb8523c819f (diff)
downloadnumpy-456d2ebf75204f6fd82ca1cc9d656fedc307562d.tar.gz
DOC: remove note about `__array_ufunc__` being provisional for 1.17.0
Other libraries are relying on this now, and the protocol has been stable since 1.13.0
Diffstat (limited to 'doc/source')
-rw-r--r--doc/source/reference/arrays.classes.rst4
1 files changed, 0 insertions, 4 deletions
diff --git a/doc/source/reference/arrays.classes.rst b/doc/source/reference/arrays.classes.rst
index f17cb932a..4f97b4ece 100644
--- a/doc/source/reference/arrays.classes.rst
+++ b/doc/source/reference/arrays.classes.rst
@@ -43,10 +43,6 @@ NumPy provides several hooks that classes can customize:
.. versionadded:: 1.13
- .. note:: The API is `provisional
- <https://docs.python.org/3/glossary.html#term-provisional-api>`_,
- i.e., we do not yet guarantee backward compatibility.
-
Any class, ndarray subclass or not, can define this method or set it to
:obj:`None` in order to override the behavior of NumPy's ufuncs. This works
quite similarly to Python's ``__mul__`` and other binary operation routines.