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| author | David Gilbertson <gilbertson.david@gmail.com> | 2022-07-05 10:01:36 +1000 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2022-07-05 10:01:36 +1000 |
| commit | e7c383cbc9cdab5b2035d7dcc0d4e1f230bcb426 (patch) | |
| tree | 60685394cdb131bfc2bd206dd254a56f30779e03 | |
| parent | cf39a723ef4cac328225fd0e3a9b83edac41c2c1 (diff) | |
| download | numpy-e7c383cbc9cdab5b2035d7dcc0d4e1f230bcb426.tar.gz | |
DOC: fix typo on custom array containers page
| -rw-r--r-- | doc/source/user/basics.dispatch.rst | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/doc/source/user/basics.dispatch.rst b/doc/source/user/basics.dispatch.rst index 35c73dde4..0d0ddfcdb 100644 --- a/doc/source/user/basics.dispatch.rst +++ b/doc/source/user/basics.dispatch.rst @@ -62,7 +62,7 @@ Notice that the return type is a standard ``numpy.ndarray``. How can we pass our custom array type through this function? Numpy allows a class to indicate that it would like to handle computations in a custom-defined way through the interfaces ``__array_ufunc__`` and ``__array_function__``. Let's -take one at a time, starting with ``_array_ufunc__``. This method covers +take one at a time, starting with ``__array_ufunc__``. This method covers :ref:`ufuncs`, a class of functions that includes, for example, :func:`numpy.multiply` and :func:`numpy.sin`. |