code: def test_single_quantile(data, start, end, length, labels):
      # see gh-15431
      ser = Series([data] * length)
      result = qcut(ser, 1, labels=labels)
  
      if labels is None:
          intervals = IntervalIndex(
              [Interval(start, end)] * length, closed="right"
          )
          expected = Series(intervals).astype(
              CategoricalDtype(ordered=True)
          )
      else:
          expected = Series([0] * length, dtype=np.intp)
  
      tm.assert_series_equal(result, expected)
  
imports: import os
  import numpy
  import pytest
  import pandas
  from pandas import Categorical, DatetimeIndex, Interval, IntervalIndex, NaT, Series, Timedelta, TimedeltaIndex, Timestamp, cut, date_range, isna, qcut, timedelta_range
  import pandas._testing
  from pandas.api.types import CategoricalDtype
  from pandas.tseries.offsets import Day
label_desc: Use image node_id 14 for calling a global function with example usage: test_single_quantile(data, start, end, length, labels) without return types