from __future__ import division
import numpy as np
from nipype.testing import assert_equal
from nipype.algorithms.icc import ICC_rep_anova


def test_ICC_rep_anova():
    # see table 2 in P. E. Shrout & Joseph L. Fleiss (1979). "Intraclass Correlations: Uses in
    # Assessing Rater Reliability". Psychological Bulletin 86 (2): 420-428
    Y = np.array([[9, 2, 5, 8],
                  [6, 1, 3, 2],
                  [8, 4, 6, 8],
                  [7, 1, 2, 6],
                  [10, 5, 6, 9],
                  [6, 2, 4, 7]])

    icc, r_var, e_var, _, dfc, dfe = ICC_rep_anova(Y)
    # see table 4
    yield assert_equal, round(icc, 2), 0.71
    yield assert_equal, dfc, 3
    yield assert_equal, dfe, 15
    yield assert_equal, r_var / (r_var + e_var), icc
