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# Copyright 2017-2020 Spotify AB 

# 

# Licensed under the Apache License, Version 2.0 (the "License"); 

# you may not use this file except in compliance with the License. 

# You may obtain a copy of the License at 

# 

# http://www.apache.org/licenses/LICENSE-2.0 

# 

# Unless required by applicable law or agreed to in writing, software 

# distributed under the License is distributed on an "AS IS" BASIS, 

# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 

# See the License for the specific language governing permissions and 

# limitations under the License. 

 

from typing import (Tuple, Dict, Union) 

POINT_ESTIMATE = "point_estimate" 

VARIANCE = 'variance' 

CI_LOWER, CI_UPPER = "ci_lower", "ci_upper" 

ADJUSTED_LOWER, ADJUSTED_UPPER = "adjusted ci_lower", "adjusted ci_upper" 

DIFFERENCE = "difference" 

P_VALUE = "p-value" 

ADJUSTED_P = "adjusted p-value" 

SFX1, SFX2 = '_1', '_2' 

STD_ERR = 'std_err' 

Z_CRIT = "z_crit" 

ALPHA = 'alpha' 

ADJUSTED_ALPHA = 'adjusted_alpha' 

IS_SIGNIFICANT = "is_significant" 

 

BONFERRONI = "bonferroni" 

HOLM = "holm" 

HOMMEL = "hommel" 

SIMES_HOCHBERG = "simes-hochberg" 

SIDAK = "sidak" 

HOLM_SIDAK = "holm-sidak" 

FDR_BH = "fdr_bh" 

FDR_BY = "fdr_by" 

FDR_TSBH = "fdr_tsbh" 

FDR_TSBKY = "fdr_tsbky" 

 

BONFERRONI_ONLY_COUNT_TWOSIDED = "bonferroni-only-count-twosided" 

BONFERRONI_DO_NOT_COUNT_NON_INFERIORITY = "bonferroni-do-not-count-non-inferiority" 

SPOT_1 = "spot-1-bonferroni" 

 

SPOT_1_HOLM = "spot-1-holm" 

SPOT_1_HOMMEL = "spot-1-hommel" 

SPOT_1_SIMES_HOCHBERG = "spot-1-simes-hochberg" 

SPOT_1_SIDAK = 'spot-1-sidak' 

SPOT_1_HOLM_SIDAK = 'spot-1-holm-sidak' 

SPOT_1_FDR_BH = 'spot-1-fdr_bh' 

SPOT_1_FDR_BY = 'spot-1-fdr_by' 

SPOT_1_FDR_TSBH = 'spot-1-fdr_tsbh' 

SPOT_1_FDR_TSBKY = 'spot-1-fdr_tsbky' 

 

CORRECTION_METHODS = [ 

BONFERRONI, HOLM, HOMMEL, SIMES_HOCHBERG, SIDAK, HOLM_SIDAK, FDR_BH, FDR_BY, FDR_TSBH, FDR_TSBKY, 

BONFERRONI_ONLY_COUNT_TWOSIDED, BONFERRONI_DO_NOT_COUNT_NON_INFERIORITY, 

SPOT_1, SPOT_1_HOLM, SPOT_1_HOMMEL, SPOT_1_SIMES_HOCHBERG, SPOT_1_SIDAK, SPOT_1_HOLM_SIDAK, 

SPOT_1_FDR_BH, SPOT_1_FDR_BY, SPOT_1_FDR_TSBH, SPOT_1_FDR_TSBKY] 

 

CORRECTION_METHODS_THAT_SUPPORT_CI = [BONFERRONI, HOLM, HOMMEL, SIMES_HOCHBERG, 

BONFERRONI_ONLY_COUNT_TWOSIDED, BONFERRONI_DO_NOT_COUNT_NON_INFERIORITY, SPOT_1, 

SPOT_1_HOLM, SPOT_1_HOMMEL, SPOT_1_SIMES_HOCHBERG, 

SPOT_1_SIDAK, SPOT_1_HOLM_SIDAK, SPOT_1_FDR_BH, 

SPOT_1_FDR_BY, SPOT_1_FDR_TSBH, SPOT_1_FDR_TSBKY] 

 

NULL_HYPOTHESIS = "null_hypothesis" 

NIM = "non-inferiority margin" 

NIM_INPUT_COLUMN_NAME = "non_inferiority_margin" 

PREFERRED_DIRECTION_INPUT_NAME = "preferred_direction" 

INCREASE_PREFFERED = "increase" 

DECREASE_PREFFERED = "decrease" 

TWO_SIDED = "two-sided" 

PREFERENCE = "preference" 

PREFERENCE_TEST = "preference_used_in_test" 

PREFERENCE_DICT = {'smaller': DECREASE_PREFFERED, 

'larger': INCREASE_PREFFERED, 

TWO_SIDED: TWO_SIDED} 

NIM_TYPE = Union[Tuple[float, str], Dict[str, Tuple[float, str]], bool]