code: def test_exact_quantiles(int_method):
      arr = np.asarray(
          [6.8, 0.15, 3.4, 4.17, 2.13, 1.11, -1.01, 0.8, 5.7]
      )
      quant_values = [0.0, 0.25, 0.33, 0.5, 1.0]
  
      df = pd.DataFrame(arr)
      gdf_series = cudf.Series(arr)
  
      q1 = gdf_series.quantile(
          quant_values, interpolation=int_method, exact=True
      )
  
      q2 = df.quantile(quant_values, interpolation=int_method)
  
      np.testing.assert_allclose(
          q1.to_pandas().values,
          np.array(q2.values).T.flatten(),
          rtol=1e-10,
      )
  
imports: from concurrent.futures import ThreadPoolExecutor
  import cupy
  import numpy
  import pandas
  import pytest
  import cudf
  from cudf.datasets import randomdata
  from cudf.testing._utils import _create_cudf_series_float64_default, _create_pandas_series_float64_default, assert_eq, assert_exceptions_equal, expect_warning_if
label_desc: Use image node_id 7 for calling a global function with example usage: test_exact_quantiles(int_method) without return types