code: def test_unordered_different_order_equal(self, box):
      # https://github.com/pandas-dev/pandas/issues/16014
      c1 = box(
          Categorical(["a", "b"], categories=["a", "b"], ordered=False)
      )
      c2 = box(
          Categorical(["a", "b"], categories=["b", "a"], ordered=False)
      )
      assert (c1 == c2).all()
  
      c1 = box(
          Categorical(["a", "b"], categories=["a", "b"], ordered=False)
      )
      c2 = box(
          Categorical(["b", "a"], categories=["b", "a"], ordered=False)
      )
      assert (c1 != c2).all()
  
      c1 = box(
          Categorical(["a", "a"], categories=["a", "b"], ordered=False)
      )
      c2 = box(
          Categorical(["b", "b"], categories=["b", "a"], ordered=False)
      )
      assert (c1 != c2).all()
  
      c1 = box(
          Categorical(["a", "a"], categories=["a", "b"], ordered=False)
      )
      c2 = box(
          Categorical(["a", "b"], categories=["b", "a"], ordered=False)
      )
      result = c1 == c2
      tm.assert_numpy_array_equal(
          np.array(result), np.array([True, False])
      )
  
imports: import numpy
  import pytest
  import pandas
  from pandas import Categorical, DataFrame, Series, Timestamp, date_range
  import pandas._testing
label_desc: Use image node_id 11 for calling the TestCategoricalOps obj's underlying member method code with example usage: obj.test_unordered_different_order_equal(box) without return types