code: def test_factor_rank_autocorrelation(
      self, factor_values, freq, period, expected_vals
  ):
      dr = date_range(
          start="2015-1-1", periods=len(factor_values), freq=freq
      )
      dr.name = "date"
      tickers = ["A", "B", "C", "D"]
      factor = DataFrame(
          index=dr, columns=tickers, data=factor_values
      ).stack()
      factor.index = factor.index.set_names(["date", "asset"])
  
      factor_df = DataFrame()
      factor_df["factor"] = factor
  
      fa = factor_rank_autocorrelation(factor_df, period)
      expected = Series(index=dr, data=expected_vals)
      expected.name = period
  
      assert_series_equal(fa, expected)
  
imports: from __future__ import division
  from unittest import TestCase
  from parameterized import parameterized
  from numpy import nan
  from pandas import Series, DataFrame, date_range, MultiIndex, Int64Index, Index, DatetimeIndex, Timedelta
  from pandas.tseries.offsets import BDay, Day, CDay
  from pandas.util.testing import assert_frame_equal, assert_series_equal
  from ..performance import factor_information_coefficient, mean_information_coefficient, mean_return_by_quantile, quantile_turnover, factor_rank_autocorrelation, factor_returns, factor_alpha_beta, cumulative_returns, factor_weights, common_start_returns, average_cumulative_return_by_quantile
  from ..utils import get_forward_returns_columns, get_clean_factor_and_forward_returns
label_desc: Use image node_id 9 for calling the PerformanceTestCase obj's underlying member method code with example usage: obj.test_factor_rank_autocorrelation(factor_values, freq, period, expected_vals) without return types