code: def _maybe_mask_result(self, result, mask, other, op_name):
          
  
          # may need to fill infs
          # and mask wraparound
          if is_float_dtype(result):
              mask |= (result == np.inf) | (result == -np.inf)
  
          # if we have a float operand we are by-definition
          # a float result
          # or our op is a divide
          if ((is_float_dtype(other) or is_float(other)) or
                  (op_name in ['rtruediv', 'truediv', 'rdiv', 'div'])):
              result[mask] = np.nan
              return result
  
          return type(self)(result, mask, copy=False)
docs: Parameters
          ----------
          result : array-like
          mask : array-like bool
          other : scalar or array-like
          op_name : str