

"""simple docstring"""




import argparse
import json
import re
import string
import sys
from collections import Counter
def   __SCREAMING_SNAKE_CASE		(		lowercase__ ):
					"""simple docstring"""

					def remove_articles(lowercase__ ):
										return re.sub(r"\b(a|an|the)\b"     ,				" "     ,				lowercase__ )

					def white_space_fix(lowercase__ ):
										return " ".join(text.split() )

					def remove_punc(lowercase__ ):
										A     =   set(string.punctuation )
										return "".join(ch for ch in text if ch not in exclude )

					def lower(lowercase__ ):
										return text.lower()

					return white_space_fix(remove_articles(remove_punc(lower(lowercase__ ) ) ) )
def   __SCREAMING_SNAKE_CASE		(		lowercase__     ,				lowercase__ ):
					"""simple docstring"""
					A     =   normalize_answer(lowercase__ ).split()
					A     =   normalize_answer(lowercase__ ).split()
					A     =   Counter(lowercase__ ) & Counter(lowercase__ )
					A     =   sum(common.values() )
					if num_same == 0:
										return 0
					A     =   1.0 * num_same / len(lowercase__ )
					A     =   1.0 * num_same / len(lowercase__ )
					A     =   (2 * precision * recall) / (precision + recall)
					return fa
def   __SCREAMING_SNAKE_CASE		(		lowercase__     ,				lowercase__ ):
					"""simple docstring"""
					return normalize_answer(lowercase__ ) == normalize_answer(lowercase__ )
def   __SCREAMING_SNAKE_CASE		(		lowercase__     ,				lowercase__     ,				lowercase__ ):
					"""simple docstring"""
					A     =   []
					for ground_truth in ground_truths:
										A     =   metric_fn(lowercase__     ,				lowercase__ )
										scores_for_ground_truths.append(lowercase__ )
					return max(lowercase__ )
def   __SCREAMING_SNAKE_CASE		(		lowercase__     ,				lowercase__ ):
					"""simple docstring"""
					A     =   A     =   A     =   0
					for article in dataset:
										for paragraph in article["paragraphs"]:
															for qa in paragraph["qas"]:
																				total += 1
																				if qa["id"] not in predictions:
																									A     =   "Unanswered question " + qa["id"] + " will receive score 0."
																									print(lowercase__     ,				file=sys.stderr )
																									continue
																				A     =   [x["text"] for x in qa["answers"]]
																				A     =   predictions[qa["id"]]
																				exact_match += metric_max_over_ground_truths(lowercase__     ,				lowercase__     ,				lowercase__ )
																				fa += metric_max_over_ground_truths(lowercase__     ,				lowercase__     ,				lowercase__ )

					A     =   1_00.0 * exact_match / total
					A     =   1_00.0 * fa / total

					return {"exact_match": exact_match, "f1": fa}


if __name__ == "__main__":
	__A	:       Union[str, Any]        =						'1.1'
	__A	:       List[str]        =						argparse.ArgumentParser(description='Evaluation for SQuAD ' + expected_version)
	parser.add_argument('dataset_file', help='Dataset file')
	parser.add_argument('prediction_file', help='Prediction File')
	__A	:       int        =						parser.parse_args()
	with open(args.dataset_file) as dataset_file:
		__A	:       Optional[Any]        =						json.load(dataset_file)
		if dataset_json["version"] != expected_version:
			print(
			    'Evaluation expects v-' + expected_version + ', but got dataset with v-' + dataset_json['version'],
			    file=sys.stderr,
			)
		__A	:       int        =						dataset_json['data']
	with open(args.prediction_file) as prediction_file:
		__A	:       Union[str, Any]        =						json.load(prediction_file)
	print(json.dumps(evaluate(dataset, predictions)))






"""simple docstring"""


from typing import Literal

__UpperCamelCase       :    int         =		"ABCDEFGHIJKLMNOPQRSTUVWXYZ"


def   __UpperCAmelCase     (	_snake_case		:       str,				_snake_case		:       str,				_snake_case		:       Literal["encrypt", "decrypt"]       ):
   _lowercase							     =       LETTERS if mode == "decrypt" else key
   _lowercase							     =       key if mode == "decrypt" else LETTERS
   _lowercase							     =       ""
   # loop through each symbol in the message
   for symbol in message:
      if symbol.upper() in chars_a:
         # encrypt/decrypt the symbol
         _lowercase							     =       chars_a.find(symbol.upper()       )
         if symbol.isupper():
            translated += chars_b[sym_index].upper()
         else:
            translated += chars_b[sym_index].lower()
      else:
         # symbol is not in LETTERS, just add it
         translated += symbol
   return translated


def   __UpperCAmelCase     (	_snake_case		:       str,				_snake_case		:       str       ):
   return translate_message(_snake_case,				_snake_case,				"encrypt"       )


def   __UpperCAmelCase     (	_snake_case		:       str,				_snake_case		:       str       ):
   return translate_message(_snake_case,				_snake_case,				"decrypt"       )


def   __UpperCAmelCase     (	):
   _lowercase							     =       "Hello World"
   _lowercase							     =       "QWERTYUIOPASDFGHJKLZXCVBNM"
   _lowercase							     =       "decrypt"  # set to 'encrypt' or 'decrypt'

   if mode == "encrypt":
      _lowercase							     =       encrypt_message(_snake_case,				_snake_case       )
   elif mode == "decrypt":
      _lowercase							     =       decrypt_message(_snake_case,				_snake_case       )
   print(f"""Using the key {key}, the {mode}ed message is: {translated}"""       )


if __name__ == "__main__":
  import doctest

  doctest.testmod()
  main()