


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



def 			_a      (    __UpperCamelCase			):

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

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

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

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

     return white_space_fix(remove_articles(remove_punc(lower(__UpperCamelCase			)			)			)			)



def 			_a      (    __UpperCamelCase	,	__UpperCamelCase			):
     a_     :  Dict				      =     normalize_answer(__UpperCamelCase			).split()
     a_     :  List[Any]				      =     normalize_answer(__UpperCamelCase			).split()
     a_     :  Union[str, Any]				      =     Counter(__UpperCamelCase			) & Counter(__UpperCamelCase			)
     a_     :  Dict				      =     sum(common.values()			)
     if num_same == 0:
          return 0
     a_     :  List[Any]				      =     1.0 * num_same / len(__UpperCamelCase			)
     a_     :  Tuple				      =     1.0 * num_same / len(__UpperCamelCase			)
     a_     :  List[Any]				      =     (2 * precision * recall) / (precision + recall)
     return fa



def 			_a      (    __UpperCamelCase	,	__UpperCamelCase			):
     return normalize_answer(__UpperCamelCase			) == normalize_answer(__UpperCamelCase			)



def 			_a      (    __UpperCamelCase	,	__UpperCamelCase	,	__UpperCamelCase			):
     a_     :  List[str]				      =     []
     for ground_truth in ground_truths:
          a_     :  Any				      =     metric_fn(__UpperCamelCase	,	__UpperCamelCase			)
          scores_for_ground_truths.append(__UpperCamelCase			)
     return max(__UpperCamelCase			)



def 			_a      (    __UpperCamelCase	,	__UpperCamelCase			):
     a_     :  Union[str, Any]				      =     0
     for article in dataset:
          for paragraph in article["paragraphs"]:
               for qa in paragraph["qas"]:
                    total += 1
                    if qa["id"] not in predictions:
                         a_     :  Optional[Any]				      =     """Unanswered question """ + qa["""id"""] + """ will receive score 0."""
                         print(__UpperCamelCase	,	file=sys.stderr			)
                         continue
                    a_     :  int				      =     [x["""text"""] for x in qa["""answers"""]]
                    a_     :  Union[str, Any]				      =     predictions[qa["""id"""]]
                    exact_match += metric_max_over_ground_truths(__UpperCamelCase	,	__UpperCamelCase	,	__UpperCamelCase			)
                    fa += metric_max_over_ground_truths(__UpperCamelCase	,	__UpperCamelCase	,	__UpperCamelCase			)

     a_     :  Any				      =     1_0_0.0 * exact_match / total
     a_     :  Optional[int]				      =     1_0_0.0 * fa / total

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


if __name__ == "__main__":
       __lowerCamelCase   	=  "1.1"
       __lowerCamelCase   	=  argparse.ArgumentParser(description='''Evaluation for SQuAD ''' + expected_version)
       parser.add_argument('''dataset_file''', help='''Dataset file''')
       parser.add_argument('''prediction_file''', help='''Prediction File''')
       __lowerCamelCase   	=  parser.parse_args()
       with open(args.dataset_file) as dataset_file:
              __lowerCamelCase   	=  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,
                     )
              __lowerCamelCase   	=  dataset_json["data"]
       with open(args.prediction_file) as prediction_file:
              __lowerCamelCase   	=  json.load(prediction_file)
       print(json.dumps(evaluate(dataset, predictions)))





def  A			(   lowercase					)  ->    int:
		'''simple docstring'''

		barcode //= 10  # exclude the last digit
		UpperCamelCase            =	False
		UpperCamelCase            =	0

		# extract and check each digit
		while barcode != 0:
				UpperCamelCase            =	1 if checker else 3
				s += mult * (barcode % 10)
				barcode //= 10
				UpperCamelCase            =	not checker

		return (10 - (s % 10)) % 10


def  A			(   lowercase					)  ->    bool:
		'''simple docstring'''

		return len(str(lowercase					)					) == 13 and get_check_digit(lowercase					) == barcode % 10


def  A			(   lowercase					)  ->    int:
		'''simple docstring'''

		if str(lowercase					).isalpha():
				UpperCamelCase            =	f'''Barcode \'{barcode}\' has alphabetic characters.'''
				raise ValueError(lowercase					)
		elif int(lowercase					) < 0:
				raise ValueError('The entered barcode has a negative value. Try again.'					)
		else:
				return int(lowercase					)


if __name__ == "__main__":
					import doctest

					doctest.testmod()
					_UpperCAmelCase   :					List[str]    =			get_barcode(input("Barcode: ").strip())

					if is_valid(barcode):
										print(F'''\'{barcode}\' is a valid barcode.''')
					else:
										print(F'''\'{barcode}\' is NOT a valid barcode.''')
