code: def test_inf_handling():
      data = np.arange(6)
      data_ser = Series(data, dtype="int64")
  
      bins = [-np.inf, 2, 4, np.inf]
      result = cut(data, bins)
      result_ser = cut(data_ser, bins)
  
      ex_uniques = IntervalIndex.from_breaks(bins)
      tm.assert_index_equal(result.categories, ex_uniques)
  
      assert result[5] == Interval(4, np.inf)
      assert result[0] == Interval(-np.inf, 2)
      assert result_ser[5] == Interval(4, np.inf)
      assert result_ser[0] == Interval(-np.inf, 2)
  
imports: import numpy
  import pytest
  import pandas
  from pandas import Categorical, DataFrame, DatetimeIndex, Index, Interval, IntervalIndex, Series, TimedeltaIndex, Timestamp, cut, date_range, interval_range, isna, qcut, timedelta_range, to_datetime
  import pandas._testing
  from pandas.api.types import CategoricalDtype
  import pandas.core.reshape.tile
label_desc: Use image node_id 19 for calling a global function with example usage: test_inf_handling() without return types