class_docstr: A mask backed by a dense numpy array.
class_docstr_tok: ["A","mask","backed","by","a","dense","numpy","array","."]
code: def __hash__(self):
      return hash((type(self), self.array.tobytes()))
  
imports: from __future__ import annotations
  import dataclasses
  from typing import Any, Callable, Sequence, Tuple
  import numpy
label_desc: Use image node_id 5 for calling the NumpyMask obj's underlying member method code with example usage: obj.__hash__() and returns: hash