How to use the pymannkendall.correlated_seasonal_test function in pymannkendall

NoTrendRes = mk.correlated_seasonal_test(NoTrendData, period=12)
    assert NoTrendRes.trend == 'no trend'
    assert NoTrendRes.h == False
    assert NoTrendRes.Tau == 0.0
    assert NoTrendRes.s == 0.0
    
    # check with trendy data
    TrendRes = mk.correlated_seasonal_test(TrendData, period=12)
    assert TrendRes.trend == 'increasing'
    assert TrendRes.h == True
    assert round(TrendRes.p) == 0.0
    assert TrendRes.Tau == 1.0
    assert TrendRes.s == 5220.0
    
    # check with arbitrary data
    result = mk.correlated_seasonal_test(arbitrary_1d_data, period=12)
    assert result.trend == 'no trend'
    assert result.h == False
    assert result.p == 0.06032641537423844
    assert result.z == -1.878400366918792
    assert result.Tau == -0.10054347826086957
    assert result.s == -333.0
    assert result.var_s == 31427.666666666664

def test_correlated_seasonal_test(NoTrendData, TrendData, arbitrary_1d_data):
    # check with no trend data
    NoTrendRes = mk.correlated_seasonal_test(NoTrendData, period=12)
    assert NoTrendRes.trend == 'no trend'
    assert NoTrendRes.h == False
    assert NoTrendRes.Tau == 0.0
    assert NoTrendRes.s == 0.0
    
    # check with trendy data
    TrendRes = mk.correlated_seasonal_test(TrendData, period=12)
    assert TrendRes.trend == 'increasing'
    assert TrendRes.h == True
    assert round(TrendRes.p) == 0.0
    assert TrendRes.Tau == 1.0
    assert TrendRes.s == 5220.0
    
    # check with arbitrary data
    result = mk.correlated_seasonal_test(arbitrary_1d_data, period=12)
    assert result.trend == 'no trend'

def test_correlated_seasonal_test(NoTrendData, TrendData, arbitrary_1d_data):
    # check with no trend data
    NoTrendRes = mk.correlated_seasonal_test(NoTrendData, period=12)
    assert NoTrendRes.trend == 'no trend'
    assert NoTrendRes.h == False
    assert NoTrendRes.Tau == 0.0
    assert NoTrendRes.s == 0.0
    
    # check with trendy data
    TrendRes = mk.correlated_seasonal_test(TrendData, period=12)
    assert TrendRes.trend == 'increasing'
    assert TrendRes.h == True
    assert round(TrendRes.p) == 0.0
    assert TrendRes.Tau == 1.0
    assert TrendRes.s == 5220.0
    
    # check with arbitrary data
    result = mk.correlated_seasonal_test(arbitrary_1d_data, period=12)
    assert result.trend == 'no trend'
    assert result.h == False
    assert result.p == 0.06032641537423844
    assert result.z == -1.878400366918792
    assert result.Tau == -0.10054347826086957
    assert result.s == -333.0
    assert result.var_s == 31427.666666666664