ÿþpycvcqv\checkers.py F 13:0 is_numeric - A (1) F 44:0 is_ncp_huge - A (1) F 68:0 is_dof_positive_natural_number - A (1) pycvcqv\cqv.py F 16:0 cqv - A (2) pycvcqv\cv.py F 17:0 coefficient_of_variation - A (2) pycvcqv\cv_confidence_interval.py F 12:0 _cv_confidence_intervals - A (1) pycvcqv\dataframe.py F 15:0 cv_dataframe - A (3) F 57:0 cqv_dataframe - A (3) pycvcqv\formulas.py F 15:0 _cv - A (5) F 72:0 _cqv - A (2) F 56:0 _noncentral_t_parameter - A (1) pycvcqv\kelley.py F 16:0 _kelley_cv_confidence_interval - A (2) pycvcqv\multithread.py F 14:0 multithread_cv_processor - A (1) F 51:0 multithread_cqv_processor - A (1) pycvcqv\noncentralt.py F 34:0 _calculate_alpha_tails - B (6) F 229:0 conf_limits_nct - A (5) F 54:0 _calculate_out_of_range_probabilities - A (3) F 86:0 conf_limits_nct_minimize_scalar - A (3) F 166:0 conf_limits_nct_minimize - A (3) F 16:0 _ci_nct_lower - A (1) F 25:0 _ci_nct_upper - A (1) pycvcqv\prepare_output.py F 16:0 prepare_cv_datafame - A (5) F 63:0 prepare_cqv_datafame - A (2) pycvcqv\sanitizers.py F 7:0 validate_ncp_confidence_level_arguments - A (1) pycvcqv\singlethread.py F 14:0 singlethread_cv_processor - A (1) F 51:0 singlethread_cqv_processor - A (1) pycvcqv\userthread.py F 14:0 userthread_cv_processor - A (1) F 50:0 userthread_cqv_processor - A (1) pycvcqv\__init__.py F 19:0 get_version - A (2) 29 blocks (classes, functions, methods) analyzed. Average complexity: A (2.1379310344827585)