code: def test_series_equal_datetime_values_mismatch(rtol):
      msg = """Series are different
  
  Series values are different \\(100.0 %\\)
  \\[index\\]: \\[0, 1, 2\\]
  \\[left\\]:  \\[1514764800000000000, 1514851200000000000, 1514937600000000000\\]
  \\[right\\]: \\[1549065600000000000, 1549152000000000000, 1549238400000000000\\]"""
  
      s1 = Series(pd.date_range("2018-01-01", periods=3, freq="D"))
      s2 = Series(pd.date_range("2019-02-02", periods=3, freq="D"))
  
      with pytest.raises(AssertionError, match=msg):
          tm.assert_series_equal(s1, s2, rtol=rtol)
  
imports: import numpy
  import pytest
  import pandas
  from pandas import Categorical, DataFrame, Series
  import pandas._testing
label_desc: Use image node_id 15 for calling a global function with example usage: test_series_equal_datetime_values_mismatch(rtol) without return types