code: def test_compare_ticks_to_strs(cls):
      # GH#23524
      off = cls(19)
  
      # These tests should work with any strings, but we particularly are
      #  interested in "infer" as that comparison is convenient to make in
      #  Datetime/Timedelta Array/Index constructors
      assert not off == "infer"
      assert not "foo" == off
  
      instance_type = ".".join([cls.__module__, cls.__name__])
      msg = (
          "'<'|'<='|'>'|'>=' not supported between instances of "
          f"'str' and '{instance_type}'|'{instance_type}' and 'str'"
      )
  
      for left, right in [("infer", off), (off, "infer")]:
          with pytest.raises(TypeError, match=msg):
              left < right
          with pytest.raises(TypeError, match=msg):
              left <= right
          with pytest.raises(TypeError, match=msg):
              left > right
          with pytest.raises(TypeError, match=msg):
              left >= right
  
imports: from datetime import datetime, timedelta
  from hypothesis import assume, example, given
  import numpy
  import pytest
  from pandas._libs.tslibs.offsets import delta_to_tick
  from pandas.errors import OutOfBoundsTimedelta
  from pandas import Timedelta, Timestamp
  import pandas._testing
  from pandas._testing._hypothesis import INT_NEG_999_TO_POS_999
  from pandas.tests.tseries.offsets.common import assert_offset_equal
  from pandas.tseries import offsets
  from pandas.tseries.offsets import Hour, Micro, Milli, Minute, Nano, Second
label_desc: Use image node_id 22 for calling a global function with example usage: test_compare_ticks_to_strs(cls) without return types