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authorIkko Ashimine <eltociear@gmail.com>2022-12-11 21:28:04 +0900
committerGitHub <noreply@github.com>2022-12-11 21:28:04 +0900
commit90fef8167f132ee2d078ac833be475c5125a64f3 (patch)
tree5413193e8b58ba23c8c71ffc1544fd953ba22064 /doc/source/user
parent825e3942dd380bd5303af61cc8a0a63fc703b0ee (diff)
downloadnumpy-90fef8167f132ee2d078ac833be475c5125a64f3.tar.gz
DOC: fix typo in basics.dispatch.rst
overriden -> overridden
Diffstat (limited to 'doc/source/user')
-rw-r--r--doc/source/user/basics.dispatch.rst4
1 files changed, 2 insertions, 2 deletions
diff --git a/doc/source/user/basics.dispatch.rst b/doc/source/user/basics.dispatch.rst
index 7c30272ad..a493ef769 100644
--- a/doc/source/user/basics.dispatch.rst
+++ b/doc/source/user/basics.dispatch.rst
@@ -281,14 +281,14 @@ Numpy provides some utilities to aid testing of custom array containers that
implement the ``__array_ufunc__`` and ``__array_function__`` protocols in the
``numpy.testing.overrides`` namespace.
-To check if a Numpy function can be overriden via ``__array_ufunc__``, you can
+To check if a Numpy function can be overridden via ``__array_ufunc__``, you can
use :func:`~numpy.testing.overrides.allows_array_ufunc_override`:
>>> from np.testing.overrides import allows_array_ufunc_override
>>> allows_array_ufunc_override(np.add)
True
-Similarly, you can check if a function can be overriden via
+Similarly, you can check if a function can be overridden via
``__array_function__`` using
:func:`~numpy.testing.overrides.allows_array_function_override`.