
import argparse
import json
import re
import string
import sys
from collections import Counter




def 					lowerCamelCase__					(    a__	:	Tuple  )		->						int:

       def remove_articles(a__	:	Optional[int]  ):
              return re.sub(r"""\b(a|an|the)\b"""						,   """ """						,   a__  )

       def white_space_fix(a__	:	Union[str, Any]  ):
              return " ".join(text.split()  )

       def remove_punc(a__	:	Optional[int]  ):
              UpperCamelCase_											=							set(string.punctuation  )
              return "".join(ch for ch in text if ch not in exclude  )

       def lower(a__	:	Optional[Any]  ):
              return text.lower()

       return white_space_fix(remove_articles(remove_punc(lower(a__  )  )  )  )




def 					lowerCamelCase__					(    a__	:	int						,   a__	:	List[Any]  )		->						Dict:
       UpperCamelCase_											=							normalize_answer(a__  ).split()
       UpperCamelCase_											=							normalize_answer(a__  ).split()
       UpperCamelCase_											=							Counter(a__  ) & Counter(a__  )
       UpperCamelCase_											=							sum(common.values()  )
       if num_same == 0:
              return 0
       UpperCamelCase_											=							1.0 * num_same / len(a__  )
       UpperCamelCase_											=							1.0 * num_same / len(a__  )
       UpperCamelCase_											=							(2 * precision * recall) / (precision + recall)
       return fa




def 					lowerCamelCase__					(    a__	:	Any						,   a__	:	int  )		->						List[Any]:
       return normalize_answer(a__  ) == normalize_answer(a__  )




def 					lowerCamelCase__					(    a__	:	List[Any]						,   a__	:	int						,   a__	:	Tuple  )		->						int:
       UpperCamelCase_											=							[]
       for ground_truth in ground_truths:
              UpperCamelCase_											=							metric_fn(a__						,   a__  )
              scores_for_ground_truths.append(a__  )
       return max(a__  )




def 					lowerCamelCase__					(    a__	:	Union[str, Any]						,   a__	:	Any  )		->						List[Any]:
       UpperCamelCase_											=							UpperCamelCase_											=							UpperCamelCase_											=							0
       UpperCamelCase_											=							[]
       for passage in dataset:
              for qa in passage["qas"]:
                     total += 1
                     if qa["id"] not in predictions:
                            UpperCamelCase_											=							f'''Unanswered question {qa["id"]} will receive score 0.'''
                            print(a__						,   file=sys.stderr  )
                            continue

                     UpperCamelCase_											=							[x["""text"""] for x in qa["""answers"""]]
                     UpperCamelCase_											=							predictions[qa["""id"""]]

                     UpperCamelCase_											=							metric_max_over_ground_truths(a__						,   a__						,   a__  )
                     if int(_exact_match  ) == 1:
                            correct_ids.append(qa["""id"""]  )
                     exact_match += _exact_match

                     fa += metric_max_over_ground_truths(a__						,   a__						,   a__  )

       UpperCamelCase_											=							exact_match / total
       UpperCamelCase_											=							fa / total

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


if __name__ == "__main__":
      _A							=       '''1.0'''
      _A							=       argparse.ArgumentParser('''Official evaluation script for ReCoRD v1.0.''')
      parser.add_argument('''data_file''', help='''The dataset file in JSON format.''')
      parser.add_argument('''pred_file''', help='''The model prediction file in JSON format.''')
      parser.add_argument('''--output_correct_ids''', action='''store_true''', help='''Output the correctly answered query IDs.''')
      _A							=       parser.parse_args()

      with open(args.data_file) as data_file:
            _A							=       json.load(data_file)
            if dataset_json["version"] != expected_version:
                  print(
                      F'''Evaluation expects v-{expected_version}, but got dataset with v-{dataset_json['version']}''',
                      file=sys.stderr,
                  )
            _A							=       dataset_json['''data''']

      with open(args.pred_file) as pred_file:
            _A							=       json.load(pred_file)

      _A	,    _A							=       evaluate(dataset, predictions)

      if args.output_correct_ids:
            print(F'''Output {len(correct_ids)} correctly answered question IDs.''')
            with open('''correct_ids.json''', '''w''') as f:
                  json.dump(correct_ids, f)





_A							=       [chr(i) for i in range(32, 126)]
_A							=       list(range(len(alphabets)))
_A							=       list(range(len(alphabets)))
_A							=       list(range(len(alphabets)))
_A							=       list(reversed(range(len(alphabets))))
_A							=       []
_A							=       _A							=       _A							=       0




def 					lowerCamelCase__					(    )		->						List[str]:
       global gear_one_pos
       global gear_two_pos
       global gear_three_pos
       UpperCamelCase_											=							gear_one[0]
       gear_one.append(a__  )
       del gear_one[0]
       gear_one_pos += 1
       if gear_one_pos % int(len(a__  )  ) == 0:
              UpperCamelCase_											=							gear_two[0]
              gear_two.append(a__  )
              del gear_two[0]
              gear_two_pos += 1
              if gear_two_pos % int(len(a__  )  ) == 0:
                     UpperCamelCase_											=							gear_three[0]
                     gear_three.append(a__  )
                     del gear_three[0]
                     gear_three_pos += 1




def 					lowerCamelCase__					(    a__	:	Optional[int]  )		->						Any:
       UpperCamelCase_											=							alphabets.index(a__  )
       UpperCamelCase_											=							gear_one[target]
       UpperCamelCase_											=							gear_two[target]
       UpperCamelCase_											=							gear_three[target]
       UpperCamelCase_											=							reflector[target]
       UpperCamelCase_											=							gear_three.index(a__  )
       UpperCamelCase_											=							gear_two.index(a__  )
       UpperCamelCase_											=							gear_one.index(a__  )
       code.append(alphabets[target]  )
       rotator()


if __name__ == "__main__":
      _A							=       list(input('''Type your message:\n'''))
      while True:
            try:
                  _A							=       int(input('''Please set token:(must be only digits)\n'''))
                  break
            except Exception as error:
                  print(error)
      for _ in range(token):
            rotator()
      for j in decode:
            engine(j)
      print('''\n''' + ''''''.join(code))
      print(
          F'''\nYour Token is {token} please write it down.\nIf you want to decode '''
          '''this message again you should input same digits as token!'''
      )



