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author | Rohit Goswami <r95g10@gmail.com> | 2022-10-10 19:41:12 +0200 |
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committer | GitHub <noreply@github.com> | 2022-10-10 19:41:12 +0200 |
commit | 6d8670ac4577d2e1b13e6c53b829b2dadb69a463 (patch) | |
tree | 7d186c82b734faab26a38ada2037be0566c48871 | |
parent | eec7fdf0c35babf65c808ca7d96b50efa3b4888c (diff) | |
download | numpy-6d8670ac4577d2e1b13e6c53b829b2dadb69a463.tar.gz |
Update doc/source/f2py/python-usage.rst
Co-authored-by: Matti Picus <matti.picus@gmail.com>
-rw-r--r-- | doc/source/f2py/python-usage.rst | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/doc/source/f2py/python-usage.rst b/doc/source/f2py/python-usage.rst index f004a1f75..db1ee1ec8 100644 --- a/doc/source/f2py/python-usage.rst +++ b/doc/source/f2py/python-usage.rst @@ -15,7 +15,7 @@ Routine wrappers are callable ``fortran`` type objects while wrappers to Fortran data have attributes referring to data objects. All ``fortran`` type objects have an attribute ``_cpointer`` that contains a -``PyCapsule`` referring to the C pointer of the corresponding Fortran/C function +:c:type:`PyCapsule` referring to the C pointer of the corresponding Fortran/C function or variable at the C level. Such ``PyCapsule`` objects can be used as callback arguments for F2PY generated functions to bypass the Python C/API layer for calling Python functions from Fortran or C. This can be useful when the |