code: def _valid_numpy_subdtype(x, numpy_types):
      
      # If any of the types given in numpy_types is understood as numpy.generic,
      # all possible x will be considered valid.  This is probably unwanted.
      for t in numpy_types:
          assert not np.issubdtype(np.generic, t)
  
      return any(np.issubdtype(x.dtype, t) for t in numpy_types)
docs: Is any dtype from numpy_types superior to the dtype of x?