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import numpy as np class TestAutoCorr: def test_autocorr(self, datetime_series): # Just run the function corr1 = datetime_series.autocorr() # Now run it with the lag parameter corr2 = datetime_series.autocorr(lag=1) # corr() with lag needs Series of at least length 2 if len(datetime_series) <= 2: assert np.isnan(corr1) assert np.isnan(corr2) else: assert corr1 == corr2 # Choose a random lag between 1 and length of Series - 2 # and compare the result with the Series corr() function n = 1 + np.random.default_rng(2).integers(max(1, len(datetime_series) - 2)) corr1 = datetime_series.corr(datetime_series.shift(n)) corr2 = datetime_series.autocorr(lag=n) # corr() with lag needs Series of at least length 2 if len(datetime_series) <= 2: assert np.isnan(corr1) assert np.isnan(corr2) else: assert corr1 == corr2
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