def is_npvalue(u, dtype):
    '''
    is_npvalue(u, dtype) yields True if u is a member of the given dtype according to numpy. The
      dtype may be specified as a string (see numpy_type) or a type. Note that dtype may be None,
      'any', or np.generic, but this will always return True if so.

    Note that is_npvalue(1, 'int') will yield True, while is_npvalue(np.array(1), 'int'),
    is_npvalue(np.array([1]), 'int'), and is_npvalue([1], 'int') will yield False (because lists
    and numpy arrays of ints aren't ints).

    See also is_nparray, is_npscalar, is_scalar.
    '''
    if is_quantity(u): return is_npvalue(mag(u), dtype=dtype)
    return any(np.issubdtype(type(u), np.generic if d is None else d) for d in numpy_type(dtype))
is_npvalue(u, dtype) yields True if u is a member of the given dtype according to numpy. The
      dtype may be specified as a string (see numpy_type) or a type. Note that dtype may be None,
      'any', or np.generic, but this will always return True if so.

    Note that is_npvalue(1, 'int') will yield True, while is_npvalue(np.array(1), 'int'),
    is_npvalue(np.array([1]), 'int'), and is_npvalue([1], 'int') will yield False (because lists
    and numpy arrays of ints aren't ints).

    See also is_nparray, is_npscalar, is_scalar.