diff options
Diffstat (limited to 'doc/source/reference/c-api/array.rst')
| -rw-r--r-- | doc/source/reference/c-api/array.rst | 22 |
1 files changed, 22 insertions, 0 deletions
diff --git a/doc/source/reference/c-api/array.rst b/doc/source/reference/c-api/array.rst index f69c2bcb1..8c0acd418 100644 --- a/doc/source/reference/c-api/array.rst +++ b/doc/source/reference/c-api/array.rst @@ -1323,6 +1323,28 @@ User-defined data types Special functions for NPY_OBJECT ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +.. warning:: + + When working with arrays or buffers filled with objects NumPy tries to + ensure such buffers are filled with ``None`` before any data may be read. + However, code paths may existed where an array is only initialized to + ``NULL``. + NumPy itself accepts ``NULL`` as an alias for ``None``, but may ``assert`` + non-``NULL`` when compiled in debug mode. + + Users **must** expect a value of ``NULL`` when working with buffers created + 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 + object arrays before it 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 + from any array, although exceptions for writing to freshly created arrays + may remain (e.g. for output arrays in ufunc code). As of NumPy 1.23 + known code paths exists where proper filling is not done. + + .. c:function:: int PyArray_INCREF(PyArrayObject* op) Used for an array, *op*, that contains any Python objects. It |