code: def test_compare_datetime64_and_string():
      # Issue https://github.com/pandas-dev/pandas/issues/45506
      # Catch OverflowError when comparing datetime64 and string
      data = [
          {"a": "2015-07-01", "b": "08335394550"},
          {"a": "2015-07-02", "b": "+49 (0) 0345 300033"},
          {"a": "2015-07-03", "b": "+49(0)2598 04457"},
          {"a": "2015-07-04", "b": "0741470003"},
          {"a": "2015-07-05", "b": "04181 83668"},
      ]
      dtypes = {"a": "datetime64[ns]", "b": "string"}
      df = pd.DataFrame(data=data).astype(dtypes)
  
      result_eq1 = df["a"].eq(df["b"])
      result_eq2 = df["a"] == df["b"]
      result_neq = df["a"] != df["b"]
  
      expected_eq = pd.Series([False] * 5)  # For .eq and ==
      expected_neq = pd.Series([True] * 5)  # For !=
  
      tm.assert_series_equal(result_eq1, expected_eq)
      tm.assert_series_equal(result_eq2, expected_eq)
      tm.assert_series_equal(result_neq, expected_neq)
  
file_path: pandas/pandas/tests/series/methods/test_compare.py
imports: import numpy
  import pytest
  import pandas
  import pandas._testing
label_desc: Use image node_id 8 for calling a global function with example usage: test_compare_datetime64_and_string() without return types