code: def test_tokenize_masked_array():
      m = np.ma.masked_array(
          [1, 2, 3], mask=[True, True, False], fill_value=10
      )
      m2 = np.ma.masked_array(
          [1, 2, 3], mask=[True, True, False], fill_value=0
      )
      m3 = np.ma.masked_array([1, 2, 3], mask=False, fill_value=10)
      assert tokenize(m) == tokenize(m)
      assert tokenize(m2) == tokenize(m2)
      assert tokenize(m3) == tokenize(m3)
      assert tokenize(m) != tokenize(m2)
      assert tokenize(m) != tokenize(m3)
  
imports: from __future__ import annotations
  import random
  import sys
  from copy import deepcopy
  from itertools import product
  import numpy
  import pytest
  import dask.array
  from dask.array.numpy_compat import ComplexWarning, _numpy_123
  from dask.array.utils import assert_eq
  from dask.base import tokenize
  from dask.utils import typename
label_desc: Use image node_id 1 for calling a global function with example usage: test_tokenize_masked_array() without return types