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| author | Brian Wignall <brianwignall@gmail.com> | 2019-12-19 03:39:59 -0500 |
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| committer | Brian Wignall <brianwignall@gmail.com> | 2019-12-19 03:39:59 -0500 |
| commit | 0c2a5eb42c0cddf6844880f1494ddf7765bf9c7b (patch) | |
| tree | 9a8005ae483b36cf80493ca1389a6002369ee3fd /numpy/doc/dispatch.py | |
| parent | 6d69a9e163858de5d0ea2ae810b8febc7eec1dbc (diff) | |
| download | numpy-0c2a5eb42c0cddf6844880f1494ddf7765bf9c7b.tar.gz | |
Fix typos, via a Levenshtein-style corrector
Diffstat (limited to 'numpy/doc/dispatch.py')
| -rw-r--r-- | numpy/doc/dispatch.py | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/numpy/doc/dispatch.py b/numpy/doc/dispatch.py index c9029941b..ba76a43ae 100644 --- a/numpy/doc/dispatch.py +++ b/numpy/doc/dispatch.py @@ -58,7 +58,7 @@ 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 interaces ``__array_ufunc__`` and ``__array_function__``. Let's +way through the interfaces ``__array_ufunc__`` and ``__array_function__``. Let's 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`. |