code: def convert_numpy_str_to_uint32(data):
      
      if data.nbytes == 0:
          # An empty string should be an empty uint32.
          return np.uint32([])
      else:
          # We need to calculate the new shape from the current shape,
          # which will have to be expanded along the rows to fit all the
          # characters (the dtype.itemsize gets the number of bytes in
          # each string, which is just 4 times the number of
          # characters. Then it is a mstter of getting a view of the
          # string (in flattened form so that it is contiguous) as uint32
          # and then reshaping it.
          shape = list(np.atleast_1d(data).shape)
          shape[-1] *= data.dtype.itemsize//4
          return data.flatten().view(np.uint32).reshape(tuple(shape))
docs: Converts a numpy.unicode\_ to its numpy.uint32 representation.
  
      Convert a ``numpy.unicode_`` or an array of them (they are UTF-32
      strings) into the equivalent array of ``numpy.uint32`` that is byte
      for byte identical. Strings are expanded along rows (across columns)
      so a 2x3x4 array of 10 element strings will get turned into a 2x30x4
      array of uint32's.
  
      Parameters
      ----------
      data : numpy.unicode\_ or numpy.ndarray of numpy.unicode\_
          The string or array of them to convert.
  
      Returns
      -------
      array : numpy.ndarray of numpy.uint32
          The result of the conversion.
  
      See Also
      --------
      convert_numpy_str_to_uint16
      convert_to_numpy_str