@@ -670,7 +670,8 @@ def __init__(self, control, test, effect_size,
670670 'statistic_welch': 0.9472545159069105,
671671 'statistic_wilcoxon': nan}
672672 """
673-
673+
674+ import numpy as np
674675 from numpy import array , isnan , isinf
675676 from numpy import sort as npsort
676677 from numpy .random import choice , seed
@@ -802,7 +803,7 @@ def __init__(self, control, test, effect_size,
802803 self .__pct_high = self .__bootstraps [pct_idx_high ]
803804
804805 # Perform statistical tests.
805-
806+
806807 self .__PermutationTest_result = PermutationTest (control , test ,
807808 effect_size ,
808809 is_paired ,
@@ -1225,9 +1226,9 @@ def statistic_mann_whitney(self):
12251226 @property
12261227 def pvalue_permutation (self ):
12271228 return self .__PermutationTest_result .pvalue
1228-
1229-
1230-
1229+
1230+ #
1231+ #
12311232 @property
12321233 def permutation_count (self ):
12331234 return self .__PermutationTest_result .permutation_count
@@ -1353,7 +1354,7 @@ def __pre_calc(self):
13531354 self .__is_paired ,
13541355 self .__ci ,
13551356 self .__resamples ,
1356- self .__permutation_count ,
1357+ # self.__permutation_count,
13571358 self .__random_seed )
13581359 r_dict = result .to_dict ()
13591360
@@ -1397,10 +1398,10 @@ def __pre_calc(self):
13971398 'bca_low' , 'bca_high' , 'bca_interval_idx' ,
13981399 'pct_low' , 'pct_high' , 'pct_interval_idx' ,
13991400
1400- 'pvalue_permutation' , 'permutation_count' ,
1401-
14021401 'bootstraps' , 'resamples' , 'random_seed' ,
1403-
1402+
1403+ 'pvalue_permutation' , 'permutation_count' ,
1404+
14041405 'pvalue_welch' ,
14051406 'statistic_welch' ,
14061407
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