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Reference object to allow the creation of arrays which are not
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Class to wrap functions with checks for __array_function__ overrides.
All arguments are required, and can only be passed by position.
Parameters
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dispatcher : function or None
The dispatcher function that returns a single sequence-like object
of all arguments relevant. It must have the same signature (except
the default values) as the actual implementation.
If ``None``, this is a ``like=`` dispatcher and the
``_ArrayFunctionDispatcher`` must be called with ``like`` as the
first (additional and positional) argument.
implementation : function
Function that implements the operation on NumPy arrays without
overrides. Arguments passed calling the ``_ArrayFunctionDispatcher``
will be forwarded to this (and the ``dispatcher``) as if using
``*args, **kwargs``.
Attributes
----------
_implementation : function
The original implementation passed in.
ar
Collect arguments on which to call __array_function__.
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----------
relevant_args : iterable of array-like
Iterable of possibly array-like arguments to check for
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Sequence of arguments with __array_function__ methods, in the order in
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Function that when called like ``dispatcher(*args, **kwargs)`` with
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array-like arguments to check for ``__array_function__``.
If `None`, the first argument is used as the single `like=` argument
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module : str, optional
__module__ attribute to set on new function, e.g., ``module='numpy'``.
By default, module is copied from the decorated function.
verify : bool, optional
If True, verify the that the signature of the dispatcher and decorated
function signatures match exactly: all required and optional arguments
should appear in order with the same names, but the default values for
all optional arguments should be ``None``. Only disable verification
if the dispatcher's signature needs to deviate for some particular
reason, e.g., because the function has a signature like
``func(*args, **kwargs)``.
docs_from_dispatcher : bool, optional
If True, copy docs from the dispatcher function onto the dispatched
function, rather than from the implementation. This is useful for
functions defined in C, which otherwise don't have docstrings.
Returns
-------
Function suitable for decorating the implementation of a NumPy function.
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