\!h|rSSKJrJr SSKJr SSKrSSKJr \SSj5r g!\ a SrNf=f)) combinationsproduct) factorialN)nottestcU$N)fs oC:\Users\julio\OneDrive\Documentos\Trabajo\Ideas Frescas\venv\Lib\site-packages\mlxtend/evaluate/permutation.pyrrscUS;a[SU-5e[U[5(a(US;a [S5eUS:XaSnO US:XaSnOS n[RR U5n[ U5[ U5pU(a=X:wa [S 5e[R"U5n [R"U 5n O[R"X45n S n U"X5nUS :XGaCU(a[S S/US9Hun[U5H1unnU(aUUUUsW U'W U'M UUUUsW U'W U'M3 U"W W 5nUU:d[R"UU5(dMpU S- n Mw SU -nX- $[[X-5U5Hin[X-5Vs/sH nUU;dM UPM nnU"W [U5U U5nUU:d[R"UU5(dMdU S- n Mk [!X-5[!U5[!U 5-- nX- $U(a[U5HnUR#U5S :n[U5H1unnU(aUUUUsW U'W U'M UUUUsW U'W U'M3 U"W W 5nUU:d[R"UU5(dMU S- n M U S- n US- nX- $[U5HKnUR%W 5 U"U SUXS5nUU:d[R"UU5(dMFU S- n MM U S- n US- nX- $s snf)aG Nonparametric permutation test Parameters ------------- x : list or numpy array with shape (n_datapoints,) A list or 1D numpy array of the first sample (e.g., the treatment group). y : list or numpy array with shape (n_datapoints,) A list or 1D numpy array of the second sample (e.g., the control group). func : custom function or str (default: 'x_mean != y_mean') function to compute the statistic for the permutation test. - If 'x_mean != y_mean', uses `func=lambda x, y: np.abs(np.mean(x) - np.mean(y)))` for a two-sided test. - If 'x_mean > y_mean', uses `func=lambda x, y: np.mean(x) - np.mean(y))` for a one-sided test. - If 'x_mean < y_mean', uses `func=lambda x, y: np.mean(y) - np.mean(x))` for a one-sided test. method : 'approximate' or 'exact' (default: 'exact') If 'exact' (default), all possible permutations are considered. If 'approximate' the number of drawn samples is given by `num_rounds`. Note that 'exact' is typically not feasible unless the dataset size is relatively small. paired : bool If True, a paired test is performed by only exchanging each datapoint with its associate. num_rounds : int (default: 1000) The number of permutation samples if `method='approximate'`. seed : int or None (default: None) The random seed for generating permutation samples if `method='approximate'`. Returns ---------- p-value under the null hypothesis Examples ----------- For usage examples, please see https://rasbt.github.io/mlxtend/user_guide/evaluate/permutation_test/ ) approximateexactz/method must be "approximate" or "exact", got %s)x_mean != y_meanx_mean > y_meanzx_mean < y_meanzsProvide a custom function lambda x,y: ... or a string in ("x_mean != y_mean", "x_mean > y_mean", "x_mean < y_mean")rc[R"[R"U5[R"U5- 5$r)npabsmeanxys r funcpermutation_test..funchs&vvbggaj2771:566r rc\[R"U5[R"U5- $rrrrs r rrmwwqzBGGAJ..r c\[R"U5[R"U5- $rrrs r rrrrr z2x and y must have the same length if `paired=True`grTF)repeatg?N)AttributeError isinstancestrrrandom RandomStatelen ValueErroremptyhstackr enumerateiscloserrangelistrrandnshuffle)rrrmethod num_roundsseedpairedrngmnsample_xsample_ycombinedat_least_as_extremereference_statflipir diff indices_x indices_ys r permutation_testrAs@-- @6 I  $ Q Q 8 ' ' 7& & /  / ))   %C q63q6q 6TU U88A;88A;99aV$!ZN  u a8%dODAq34Q410 Xa[34Q410 Xa[ , Hh/.(BJJt^,L,L'3.'9AJT  ++O*%,: (-ae K 18JQ KHT)_5x 7JK.(BJJt^,L,L'3.' ; #15)Yq\IaL-HIJB  ++= :&yy|c)%dODAq34Q410 Xa[34Q410 Xa[ , Hh/.(BJJt^,L,L'3.'' 3 &  # J  ++:& H%HRaL(2,7.(BJJt^,L,L'3.' ' 3 &  # J  ++MLs 0 M >M )rriNF) itertoolsrrmathrnumpyr nose.toolsr ImportErrorrAr r r rGsU,"    q, q,s * 66