def load_default_values(dsp, path):
    """
    Load Dispatcher default values in Python pickle format.

    Pickles are a serialized byte stream of a Python object.
    This format will preserve Python objects used as nodes or edges.

    :param dsp:
        A dispatcher that identifies the model adopted.
    :type dsp: schedula.Dispatcher

    :param path:
        File or filename to write.
        File names ending in .gz or .bz2 will be uncompressed.
    :type path: str, file

    .. testsetup::
        >>> from tempfile import mkstemp
        >>> file_name = mkstemp()[1]

    Example::

        >>> from schedula import Dispatcher
        >>> dsp = Dispatcher()
        >>> dsp.add_data('a', default_value=1)
        'a'
        >>> dsp.add_function(function=max, inputs=['a', 'b'], outputs=['c'])
        'max'
        >>> save_default_values(dsp, file_name)

        >>> dsp = Dispatcher(dmap=dsp.dmap)
        >>> load_default_values(dsp, file_name)
        >>> dsp.dispatch(inputs={'b': 3})['c']
        3
    """
    import dill
    # noinspection PyArgumentList
    with open(path, 'rb') as f:
        dsp.__init__(dmap=dsp.dmap, default_values=dill.load(f))
Load Dispatcher default values in Python pickle format.

    Pickles are a serialized byte stream of a Python object.
    This format will preserve Python objects used as nodes or edges.

    :param dsp:
        A dispatcher that identifies the model adopted.
    :type dsp: schedula.Dispatcher

    :param path:
        File or filename to write.
        File names ending in .gz or .bz2 will be uncompressed.
    :type path: str, file

    .. testsetup::
        >>> from tempfile import mkstemp
        >>> file_name = mkstemp()[1]

    Example::

        >>> from schedula import Dispatcher
        >>> dsp = Dispatcher()
        >>> dsp.add_data('a', default_value=1)
        'a'
        >>> dsp.add_function(function=max, inputs=['a', 'b'], outputs=['c'])
        'max'
        >>> save_default_values(dsp, file_name)

        >>> dsp = Dispatcher(dmap=dsp.dmap)
        >>> load_default_values(dsp, file_name)
        >>> dsp.dispatch(inputs={'b': 3})['c']
        3