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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def apply_array_ufunc(func, *args, dask='forbidden'):
 """Apply a ndarray level function over ndarray objects."""

    if any(isinstance(arg, dask_array_type) for arg in args):
        if dask == 'forbidden':
            raise ValueError('apply_ufunc encountered a dask array on an '
                             'argument, but handling for dask arrays has not '
                             'been enabled. Either set the ``dask`` argument '
                             'or load your data into memory first with '
                             '``.load()`` or ``.compute()``')
        elif dask == 'parallelized':
            raise ValueError("cannot use dask='parallelized' for apply_ufunc "
                             'unless at least one input is an xarray object')
        elif dask == 'allowed':
            pass
        else:
            raise ValueError('unknown setting for dask array handling: {}'
                             .format(dask))
    return func(*args)