code: def __new__(self, n, m):
      self.n = n
      self.m = m
      return super().__new__(self, (n + 1, m + 1), float)
  
imports: import array
  from abc import ABC, abstractmethod
  from itertools import repeat
  from typing import Tuple
  import numpy
  from .window import CRWindow, Window
label_desc: Use image node_id 1 for calling the DenseCostMatrix obj's underlying member method code with example usage: obj.__new__(n, m) and returns: super