

import argparse
import json
import re
import string
import sys

import numpy as np


lowercase     :       Tuple        =       0.5







def  UpperCAmelCase_   (_lowerCAmelCase :		Any     ,			_lowerCAmelCase :		int		):
			__UpperCamelCase    :    Dict								=      [".", ",", ";", ":"]

			for token in remove_tokens:
						__UpperCamelCase    :    Union[str, Any]								=      ground_truth.replace(_lowerCAmelCase     ,			""		)
						__UpperCamelCase    :    str								=      prediction.replace(_lowerCAmelCase     ,			""		)

			__UpperCamelCase							,				__UpperCamelCase    :    Any								=      ground_truth.lower(), prediction.lower()
			__UpperCamelCase							,				__UpperCamelCase    :    List[Any]								=      ground_truth.replace("/"     ,			" "		), prediction.replace("/"     ,			" "		)
			__UpperCamelCase							,				__UpperCamelCase    :    Union[str, Any]								=      set(ground_truth.split(" "		)		), set(prediction.split(" "		)		)

			__UpperCamelCase    :    Optional[Any]								=      ground_truth.intersection(_lowerCAmelCase		)
			__UpperCamelCase    :    Dict								=      ground_truth.union(_lowerCAmelCase		)
			__UpperCamelCase    :    List[str]								=      len(_lowerCAmelCase		) / len(_lowerCAmelCase		)
			return jaccard







def  UpperCAmelCase_   (_lowerCAmelCase :		Optional[int]		):

			def remove_articles(_lowerCAmelCase :		Union[str, Any]		):
						return re.sub(R"\b(a|an|the)\b"     ,			" "     ,			_lowerCAmelCase		)

			def white_space_fix(_lowerCAmelCase :		Any		):
						return " ".join(text.split()		)

			def remove_punc(_lowerCAmelCase :		List[Any]		):
						__UpperCamelCase    :    Tuple								=      set(string.punctuation		)
						return "".join(ch for ch in text if ch not in exclude		)

			def lower(_lowerCAmelCase :		Optional[int]		):
						return text.lower()

			return white_space_fix(remove_articles(remove_punc(lower(_lowerCAmelCase		)		)		)		)







def  UpperCAmelCase_   (_lowerCAmelCase :		int     ,			_lowerCAmelCase :		Dict     ,			_lowerCAmelCase :		Union[str, Any]		):
			__UpperCamelCase							,				__UpperCamelCase							,				__UpperCamelCase    :    Dict								=      0, 0, 0

			__UpperCamelCase    :    Tuple								=      "Parties" in qa_id

			# first check if ground truth is empty
			if len(_lowerCAmelCase		) == 0:
						if len(_lowerCAmelCase		) > 0:
									fp += len(_lowerCAmelCase		)  # false positive for each one
			else:
						for ground_truth in ground_truths:
									assert len(_lowerCAmelCase		) > 0
									# check if there is a match
									__UpperCamelCase    :    List[str]								=      False
									for pred in predictions:
												if substr_ok:
															__UpperCamelCase    :    str								=      get_jaccard(_lowerCAmelCase     ,			_lowerCAmelCase		) >= IOU_THRESH or ground_truth in pred
												else:
															__UpperCamelCase    :    int								=      get_jaccard(_lowerCAmelCase     ,			_lowerCAmelCase		) >= IOU_THRESH
												if is_match:
															__UpperCamelCase    :    List[str]								=      True

									if match_found:
												tp += 1
									else:
												fn += 1

        # now also get any fps by looping through preds
						for pred in predictions:
									# Check if there's a match. if so, don't count (don't want to double count based on the above)
									# but if there's no match, then this is a false positive.
									# (Note: we get the true positives in the above loop instead of this loop so that we don't double count
									# multiple predictions that are matched with the same answer.)
									__UpperCamelCase    :    List[str]								=      False
									for ground_truth in ground_truths:
												assert len(_lowerCAmelCase		) > 0
												if substr_ok:
															__UpperCamelCase    :    List[str]								=      get_jaccard(_lowerCAmelCase     ,			_lowerCAmelCase		) >= IOU_THRESH or ground_truth in pred
												else:
															__UpperCamelCase    :    Tuple								=      get_jaccard(_lowerCAmelCase     ,			_lowerCAmelCase		) >= IOU_THRESH
												if is_match:
															__UpperCamelCase    :    Optional[Any]								=      True

									if not match_found:
												fp += 1

			__UpperCamelCase    :    Dict								=      tp / (tp + fp) if tp + fp > 0 else np.nan
			__UpperCamelCase    :    List[Any]								=      tp / (tp + fn) if tp + fn > 0 else np.nan

			return precision, recall







def  UpperCAmelCase_   (_lowerCAmelCase :		Optional[int]		):
			__UpperCamelCase    :    int								=      precisions[::-1]
			for i in range(1     ,			len(_lowerCAmelCase		)		):
						__UpperCamelCase    :    Optional[Any]								=      max(precision_best[i - 1]     ,			precision_best[i]		)
			__UpperCamelCase    :    Optional[int]								=      precision_best[::-1]
			return precisions







def  UpperCAmelCase_   (_lowerCAmelCase :		Union[str, Any]     ,			_lowerCAmelCase :		str		):
			__UpperCamelCase    :    List[Any]								=      process_precisions(_lowerCAmelCase		)
			__UpperCamelCase    :    Optional[int]								=      np.trapz(_lowerCAmelCase     ,			_lowerCAmelCase		)
			if np.isnan(_lowerCAmelCase		):
						return 0
			return aupr







def  UpperCAmelCase_   (_lowerCAmelCase :		Dict     ,			_lowerCAmelCase :		Any     ,			_lowerCAmelCase :		int		):
			__UpperCamelCase    :    int								=      process_precisions(_lowerCAmelCase		)
			__UpperCamelCase    :    str								=      0
			for prec, recall in zip(_lowerCAmelCase     ,			_lowerCAmelCase		):
						if recall >= recall_thresh:
									__UpperCamelCase    :    Optional[Any]								=      prec
									break
			return prec_at_recall







def  UpperCAmelCase_   (_lowerCAmelCase :		Any     ,			_lowerCAmelCase :		Dict		):
			return normalize_answer(_lowerCAmelCase		) == normalize_answer(_lowerCAmelCase		)







def  UpperCAmelCase_   (_lowerCAmelCase :		Dict     ,			_lowerCAmelCase :		Optional[int]     ,			_lowerCAmelCase :		List[Any]		):
			__UpperCamelCase    :    Tuple								=      0
			for pred in predictions:
						for ground_truth in ground_truths:
									__UpperCamelCase    :    Dict								=      metric_fn(_lowerCAmelCase     ,			_lowerCAmelCase		)
									if score == 1:  # break the loop when one prediction matches the ground truth
												break
						if score == 1:
									break
			return score







def  UpperCAmelCase_   (_lowerCAmelCase :		Any     ,			_lowerCAmelCase :		Tuple		):
			__UpperCamelCase    :    List[Any]								=      0
			__UpperCamelCase    :    Tuple								=      []
			__UpperCamelCase    :    str								=      []
			for article in dataset:
						for paragraph in article["paragraphs"]:
									for qa in paragraph["qas"]:
												total += 1
												if qa["id"] not in predictions:
															__UpperCamelCase    :    Union[str, Any]								=      "Unanswered question " + qa["id"] + " will receive score 0."
															print(_lowerCAmelCase     ,			file=sys.stderr		)
															continue
												__UpperCamelCase    :    Any								=      [x["text"] for x in qa["answers"]]
												__UpperCamelCase    :    List[Any]								=      predictions[qa["id"]]
												__UpperCamelCase							,				__UpperCamelCase    :    List[Any]								=      compute_precision_recall(_lowerCAmelCase     ,			_lowerCAmelCase     ,			qa["id"]		)

												precisions.append(_lowerCAmelCase		)
												recalls.append(_lowerCAmelCase		)

												if precision == 0 and recall == 0:
															fa += 0
												else:
															fa += 2 * (precision * recall) / (precision + recall)

												exact_match += metric_max_over_ground_truths(_lowerCAmelCase     ,			_lowerCAmelCase     ,			_lowerCAmelCase		)

			__UpperCamelCase    :    str								=      [x for _, x in sorted(zip(_lowerCAmelCase     ,			_lowerCAmelCase		)		)]
			recalls.sort()

			__UpperCamelCase    :    int								=      100.0 * fa / total
			__UpperCamelCase    :    int								=      100.0 * exact_match / total
			__UpperCamelCase    :    Any								=      get_aupr(_lowerCAmelCase     ,			_lowerCAmelCase		)

			__UpperCamelCase    :    int								=      get_prec_at_recall(_lowerCAmelCase     ,			_lowerCAmelCase     ,			recall_thresh=0.9		)
			__UpperCamelCase    :    Optional[Any]								=      get_prec_at_recall(_lowerCAmelCase     ,			_lowerCAmelCase     ,			recall_thresh=0.8		)

			return {
			    "exact_match": exact_match,
			    "f1": fa,
			    "aupr": aupr,
			    "prec_at_80_recall": prec_at_aa_recall,
			    "prec_at_90_recall": prec_at_aa_recall,
			}


if __name__ == "__main__":
					lowercase     :       str        =       argparse.ArgumentParser(description="Evaluation for CUAD")
					parser.add_argument("dataset_file", help="Dataset file")
					parser.add_argument("prediction_file", help="Prediction File")
					lowercase     :       Any        =       parser.parse_args()
					with open(args.dataset_file) as dataset_file:
										lowercase     :       Tuple        =       json.load(dataset_file)
										lowercase     :       Union[str, Any]        =       dataset_json["data"]
					with open(args.prediction_file) as prediction_file:
										lowercase     :       Dict        =       json.load(prediction_file)
					print(json.dumps(evaluate(dataset, predictions)))


import random
import sys

from . import cryptomath_module as cryptomath

lowercase     :       Optional[Any]        =       (
    r" !\"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`"
    r"abcdefghijklmnopqrstuvwxyz{|}~"
)







def  UpperCAmelCase_   (_lowerCAmelCase :		int     ,			_lowerCAmelCase :		int     ,			_lowerCAmelCase :		str		):
			if mode == "encrypt":
						if key_a == 1:
									sys.exit(
									    "The affine cipher becomes weak when key "
									    "A is set to 1. Choose different key"		)
						if key_b == 0:
									sys.exit(
									    "The affine cipher becomes weak when key "
									    "B is set to 0. Choose different key"		)
			if key_a < 0 or key_b < 0 or key_b > len(_lowerCAmelCase		) - 1:
						sys.exit(
						    "Key A must be greater than 0 and key B must "
						    F'''be between 0 and {len(_lowerCAmelCase		) - 1}.'''		)
			if cryptomath.gcd(_lowerCAmelCase     ,			len(_lowerCAmelCase		)		) != 1:
						sys.exit(
						    F'''Key A {key_a} and the symbol set size {len(_lowerCAmelCase		)} '''
						    "are not relatively prime. Choose a different key."		)







def  UpperCAmelCase_   (_lowerCAmelCase :		int     ,			_lowerCAmelCase :		str		):
			__UpperCamelCase							,				__UpperCamelCase    :    int								=      divmod(_lowerCAmelCase     ,			len(_lowerCAmelCase		)		)
			check_keys(_lowerCAmelCase     ,			_lowerCAmelCase     ,			"encrypt"		)
			__UpperCamelCase    :    List[Any]								=      ""
			for symbol in message:
						if symbol in SYMBOLS:
									__UpperCamelCase    :    Tuple								=      SYMBOLS.find(_lowerCAmelCase		)
									cipher_text += SYMBOLS[(sym_index * key_a + key_b) % len(_lowerCAmelCase		)]
						else:
									cipher_text += symbol
			return cipher_text







def  UpperCAmelCase_   (_lowerCAmelCase :		int     ,			_lowerCAmelCase :		str		):
			__UpperCamelCase							,				__UpperCamelCase    :    List[str]								=      divmod(_lowerCAmelCase     ,			len(_lowerCAmelCase		)		)
			check_keys(_lowerCAmelCase     ,			_lowerCAmelCase     ,			"decrypt"		)
			__UpperCamelCase    :    List[Any]								=      ""
			__UpperCamelCase    :    Tuple								=      cryptomath.find_mod_inverse(_lowerCAmelCase     ,			len(_lowerCAmelCase		)		)
			for symbol in message:
						if symbol in SYMBOLS:
									__UpperCamelCase    :    List[Any]								=      SYMBOLS.find(_lowerCAmelCase		)
									plain_text += SYMBOLS[
									    (sym_index - key_b) * mod_inverse_of_key_a % len(_lowerCAmelCase		)
									]
						else:
									plain_text += symbol
			return plain_text







def  UpperCAmelCase_   ():
			while True:
						__UpperCamelCase    :    Optional[int]								=      random.randint(2     ,			len(_lowerCAmelCase		)		)
						__UpperCamelCase    :    Optional[int]								=      random.randint(2     ,			len(_lowerCAmelCase		)		)
						if cryptomath.gcd(_lowerCAmelCase     ,			len(_lowerCAmelCase		)		) == 1 and key_b % len(_lowerCAmelCase		) != 0:
									return key_b * len(_lowerCAmelCase		) + key_b







def  UpperCAmelCase_   ():
			__UpperCamelCase    :    List[Any]								=      input("Enter message: "		).strip()
			__UpperCamelCase    :    List[Any]								=      int(input("Enter key [2000 - 9000]: "		).strip()		)
			__UpperCamelCase    :    Optional[int]								=      input("Encrypt/Decrypt [E/D]: "		).strip().lower()

			if mode.startswith("e"		):
						__UpperCamelCase    :    str								=      "encrypt"
						__UpperCamelCase    :    str								=      encrypt_message(_lowerCAmelCase     ,			_lowerCAmelCase		)
			elif mode.startswith("d"		):
						__UpperCamelCase    :    int								=      "decrypt"
						__UpperCamelCase    :    Dict								=      decrypt_message(_lowerCAmelCase     ,			_lowerCAmelCase		)
			print(F'''\n{mode.title()}ed text: \n{translated}'''		)


if __name__ == "__main__":
					import doctest

					doctest.testmod()
					# main()