code: def test_adf_test(compute_time_data):
      df = adf_test(compute_time_data["var"])
      adf_idx = [
          "Test Statistic",
          "p-value",
          "Lags Used",
          "Number of Observations Used",
          "Critical Value (1%)",
          "Critical Value (5%)",
          "Critical Value (10%)",
      ]
  
      assert df.shape == (7, 1)
      assert df.index.tolist() == adf_idx
      assert df.columns[0] == "stats"
  
file_path: data-describe/tests/test_time_series.py
imports: import matplotlib
  import pytest
  import plotly.graph_objects
  from data_describe.core.time import _pandas_compute_stationarity_test, adf_test, kpss_test, _pandas_compute_decompose_timeseries, _pandas_compute_autocorrelation, plot_autocorrelation, stationarity_test
  import data_describe
  from data_describe.compat import _is_dataframe
label_desc: Use image node_id 4 for calling a global function with example usage: test_adf_test(compute_time_data) without return types