



from __future__ import annotations





def 						a__     (						_UpperCamelCase     :	str	,_UpperCamelCase     :	dict[str, str]							):
			__lowerCamelCase  							=      "", "", ""
			__lowerCamelCase  							=      []

			for character in message_part:
						tmp.append(character_to_number[character]							)

			for each in tmp:
						one += each[0]
						two += each[1]
						three += each[2]

			return one + two + three





def 						a__     (						_UpperCamelCase     :	str	,_UpperCamelCase     :	dict[str, str]							):
			__lowerCamelCase  							=      "", ""
			__lowerCamelCase  							=      []

			for character in message_part:
						this_part += character_to_number[character]

			for digit in this_part:
						tmp += digit
						if len(_UpperCamelCase							) == len(_UpperCamelCase							):
									result.append(_UpperCamelCase							)
									__lowerCamelCase  							=      ""

			return result[0], result[1], result[2]





def 						a__     (						_UpperCamelCase     :	str	,_UpperCamelCase     :	str							):
			__lowerCamelCase  							=      alphabet.replace(''' '''	,''''''							).upper()
			__lowerCamelCase  							=      message.replace(''' '''	,''''''							).upper()

			# Check length and characters
			if len(_UpperCamelCase							) != 27:
						raise KeyError('''Length of alphabet has to be 27.'''							)
			for each in message:
						if each not in alphabet:
									raise ValueError('''Each message character has to be included in alphabet!'''							)

    # Generate dictionares
			__lowerCamelCase  							=      (
			    "111",
			    "112",
			    "113",
			    "121",
			    "122",
			    "123",
			    "131",
			    "132",
			    "133",
			    "211",
			    "212",
			    "213",
			    "221",
			    "222",
			    "223",
			    "231",
			    "232",
			    "233",
			    "311",
			    "312",
			    "313",
			    "321",
			    "322",
			    "323",
			    "331",
			    "332",
			    "333",
			)
			__lowerCamelCase  							=      {}
			__lowerCamelCase  							=      {}
			for letter, number in zip(_UpperCamelCase	,_UpperCamelCase							):
						__lowerCamelCase  							=      number
						__lowerCamelCase  							=      letter

			return message, alphabet, character_to_number, number_to_character





def 						a__     (						_UpperCamelCase     :	str	,_UpperCamelCase     :	str = "ABCDEFGHIJKLMNOPQRSTUVWXYZ."	,_UpperCamelCase     :	int = 5							):
			__lowerCamelCase  							=      __prepare(
			    _UpperCamelCase	,_UpperCamelCase							)
			__lowerCamelCase  							=      "", ""

			for i in range(0	,len(_UpperCamelCase							) + 1	,_UpperCamelCase							):
						encrypted_numeric += __encrypt_part(
						    message[i : i + period]	,_UpperCamelCase							)

			for i in range(0	,len(_UpperCamelCase							)	,3							):
						encrypted += number_to_character[encrypted_numeric[i : i + 3]]

			return encrypted





def 						a__     (						_UpperCamelCase     :	str	,_UpperCamelCase     :	str = "ABCDEFGHIJKLMNOPQRSTUVWXYZ."	,_UpperCamelCase     :	int = 5							):
			__lowerCamelCase  							=      __prepare(
			    _UpperCamelCase	,_UpperCamelCase							)
			__lowerCamelCase  							=      []
			__lowerCamelCase  							=      ""

			for i in range(0	,len(_UpperCamelCase							) + 1	,_UpperCamelCase							):
						__lowerCamelCase  							=      __decrypt_part(message[i : i + period]	,_UpperCamelCase							)

						for j in range(0	,len(_UpperCamelCase							)							):
									decrypted_numeric.append(a[j] + b[j] + c[j]							)

			for each in decrypted_numeric:
						decrypted += number_to_character[each]

			return decrypted


if __name__ == "__main__":
		a_								=   '''DEFEND THE EAST WALL OF THE CASTLE.'''
		a_								=   encrypt_message(msg, """EPSDUCVWYM.ZLKXNBTFGORIJHAQ""")
		a_								=   decrypt_message(encrypted, """EPSDUCVWYM.ZLKXNBTFGORIJHAQ""")
		print(f"Encrypted: {encrypted}\nDecrypted: {decrypted}")











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





def 						a__     (						_UpperCamelCase     :	Tuple							):

   def remove_articles(_UpperCamelCase     :	int							):
      return re.sub(R'''\b(a|an|the)\b'''	,''' '''	,_UpperCamelCase							)

   def white_space_fix(_UpperCamelCase     :	int							):
      return " ".join(text.split()							)

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

   def lower(_UpperCamelCase     :	str							):
      return text.lower()

   return white_space_fix(remove_articles(remove_punc(lower(_UpperCamelCase							)							)							)							)





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





def 						a__     (						_UpperCamelCase     :	Optional[Any]	,_UpperCamelCase     :	str							):
   return normalize_answer(_UpperCamelCase							) == normalize_answer(_UpperCamelCase							)





def 						a__     (						_UpperCamelCase     :	int	,_UpperCamelCase     :	Dict	,_UpperCamelCase     :	Dict							):
   __lowerCamelCase  							=      []
   for ground_truth in ground_truths:
      __lowerCamelCase  							=      metric_fn(_UpperCamelCase	,_UpperCamelCase							)
      scores_for_ground_truths.append(_UpperCamelCase							)
   return max(_UpperCamelCase							)





def 						a__     (						_UpperCamelCase     :	Optional[int]	,_UpperCamelCase     :	Optional[Any]							):
   __lowerCamelCase  							=      __lowerCamelCase  							=      __lowerCamelCase  							=      0
   __lowerCamelCase  							=      []
   for passage in dataset:
      for qa in passage["qas"]:
         total += 1
         if qa["id"] not in predictions:
            __lowerCamelCase  							=      F"""Unanswered question {qa["id"]} will receive score 0."""
            print(_UpperCamelCase	,file=sys.stderr							)
            continue

         __lowerCamelCase  							=      [x['''text'''] for x in qa['''answers''']]
         __lowerCamelCase  							=      predictions[qa['''id''']]

         __lowerCamelCase  							=      metric_max_over_ground_truths(_UpperCamelCase	,_UpperCamelCase	,_UpperCamelCase							)
         if int(_exact_match							) == 1:
            correct_ids.append(qa['''id''']							)
         exact_match += _exact_match

         fa += metric_max_over_ground_truths(_UpperCamelCase	,_UpperCamelCase	,_UpperCamelCase							)

   __lowerCamelCase  							=      exact_match / total
   __lowerCamelCase  							=      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)






