diff options
Diffstat (limited to 'doc/source/reference')
| -rw-r--r-- | doc/source/reference/array_api.rst | 2 | ||||
| -rw-r--r-- | doc/source/reference/c-api/array.rst | 2 | ||||
| -rw-r--r-- | doc/source/reference/security.rst | 2 |
3 files changed, 3 insertions, 3 deletions
diff --git a/doc/source/reference/array_api.rst b/doc/source/reference/array_api.rst index 8c7c6508b..01c8787eb 100644 --- a/doc/source/reference/array_api.rst +++ b/doc/source/reference/array_api.rst @@ -508,7 +508,7 @@ Linear Algebra Functions * - ``vector_norm`` (*) - Floating-point -(*) Thes functions are split from ``norm`` from the main ``numpy`` namespace. +(*) These functions are split from ``norm`` from the main ``numpy`` namespace. See :ref:`array_api-name-changes`. (**) These functions are new in the array API and are not in the main diff --git a/doc/source/reference/c-api/array.rst b/doc/source/reference/c-api/array.rst index ccff2ae91..e4028b7b4 100644 --- a/doc/source/reference/c-api/array.rst +++ b/doc/source/reference/c-api/array.rst @@ -1337,7 +1337,7 @@ Special functions for NPY_OBJECT by NumPy. Users **should** also ensure to pass fully initialized buffers to NumPy, since NumPy may make this a strong requirement in the future. - There is currently an intention to ensure that NumPy always initalizes + There is currently an intention to ensure that NumPy always initializes object arrays before they may be read. Any failure to do so will be regarded as a bug. In the future, users may be able to rely on non-NULL values when reading diff --git a/doc/source/reference/security.rst b/doc/source/reference/security.rst index 13e2436f7..5b1e7b532 100644 --- a/doc/source/reference/security.rst +++ b/doc/source/reference/security.rst @@ -3,7 +3,7 @@ NumPy security Security issues can be reported privately as described in the project README and when opening a `new issue on the issue tracker <https://github.com/numpy/numpy/issues/new/choose>`_. -The `Python security reporting guidlines <https://www.python.org/dev/security/>`_ +The `Python security reporting guidelines <https://www.python.org/dev/security/>`_ are a good resource and its notes apply also to NumPy. NumPy's maintainers are not security experts. However, we are conscientious |