code: def test_simple():
      data = np.ones(5, dtype="int64")
      result = cut(data, 4, labels=False)
  
      expected = np.array([1, 1, 1, 1, 1])
      tm.assert_numpy_array_equal(result, expected, check_dtype=False)
  
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 1 for calling a global function with example usage: test_simple() without return types