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Module « numpy »

Fonction add_newdoc - module numpy

Signature de la fonction add_newdoc

def add_newdoc(place, obj, doc, warn_on_python=True) 

Description

add_newdoc.__doc__

    Add documentation to an existing object, typically one defined in C

    The purpose is to allow easier editing of the docstrings without requiring
    a re-compile. This exists primarily for internal use within numpy itself.

    Parameters
    ----------
    place : str
        The absolute name of the module to import from
    obj : str
        The name of the object to add documentation to, typically a class or
        function name
    doc : {str, Tuple[str, str], List[Tuple[str, str]]}
        If a string, the documentation to apply to `obj`

        If a tuple, then the first element is interpreted as an attribute of
        `obj` and the second as the docstring to apply - ``(method, docstring)``

        If a list, then each element of the list should be a tuple of length
        two - ``[(method1, docstring1), (method2, docstring2), ...]``
    warn_on_python : bool
        If True, the default, emit `UserWarning` if this is used to attach
        documentation to a pure-python object.

    Notes
    -----
    This routine never raises an error if the docstring can't be written, but
    will raise an error if the object being documented does not exist.

    This routine cannot modify read-only docstrings, as appear
    in new-style classes or built-in functions. Because this
    routine never raises an error the caller must check manually
    that the docstrings were changed.

    Since this function grabs the ``char *`` from a c-level str object and puts
    it into the ``tp_doc`` slot of the type of `obj`, it violates a number of
    C-API best-practices, by:

    - modifying a `PyTypeObject` after calling `PyType_Ready`
    - calling `Py_INCREF` on the str and losing the reference, so the str
      will never be released

    If possible it should be avoided.