

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



def   UpperCamelCase(   lowercase_				)      ->							Any:





  '''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_				):
    snake_case_					= 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   UpperCamelCase(   lowercase_     ,   lowercase_				)      ->							Tuple:





  '''simple docstring'''





  snake_case_					= normalize_answer(lowercase_				).split()
  snake_case_					= normalize_answer(lowercase_				).split()
  snake_case_					= Counter(lowercase_				) & Counter(lowercase_				)
  snake_case_					= sum(common.values()				)
  if num_same == 0:
    return 0
  snake_case_					= 1.0 * num_same / len(lowercase_				)
  snake_case_					= 1.0 * num_same / len(lowercase_				)
  snake_case_					= (2 * precision * recall) / (precision + recall)
  return fa



def   UpperCamelCase(   lowercase_     ,   lowercase_				)      ->							Dict:





  '''simple docstring'''





  return normalize_answer(lowercase_				) == normalize_answer(lowercase_				)



def   UpperCamelCase(   lowercase_     ,   lowercase_     ,   lowercase_				)      ->							Optional[int]:





  '''simple docstring'''





  snake_case_					= []
  for ground_truth in ground_truths:
    snake_case_					= metric_fn(lowercase_     ,   lowercase_				)
    scores_for_ground_truths.append(lowercase_				)
  return max(lowercase_				)



def   UpperCamelCase(   lowercase_     ,   lowercase_				)      ->							int:





  '''simple docstring'''





  snake_case_					= snake_case_					= snake_case_					= 0
  snake_case_					= []
  for passage in dataset:
    for qa in passage["qas"]:
      total += 1
      if qa["id"] not in predictions:
        snake_case_					= f'''Unanswered question {qa["id"]} will receive score 0.'''
        print(lowercase_     ,   file=sys.stderr				)
        continue

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

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

      fa += metric_max_over_ground_truths(lowercase_     ,   lowercase_     ,   lowercase_				)

  snake_case_					= exact_match / total
  snake_case_					= fa / total

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


if __name__ == "__main__":
    lowerCamelCase_					  =   '''1.0'''
    lowerCamelCase_					  =   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.''')
    lowerCamelCase_					  =   parser.parse_args()

    with open(args.data_file) as data_file:
        lowerCamelCase_					  =   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,
            )
        lowerCamelCase_					  =   dataset_json['''data''']

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

    lowerCamelCase_  ,    lowerCamelCase_					  =   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)


def   UpperCamelCase(   lowercase_     ,   lowercase_				)      ->							Union[str, Any]:





  '''simple docstring'''





  if len(str(lowercase_				)				) == 1 or len(str(lowercase_				)				) == 1:
    return a * b

  snake_case_					= max(len(str(lowercase_				)				)     ,   len(str(lowercase_				)				)				)
  snake_case_					= ma // 2

  snake_case_		,							snake_case_					= divmod(lowercase_     ,   10**ma				)
  snake_case_		,							snake_case_					= divmod(lowercase_     ,   10**ma				)

  snake_case_					= karatsuba(lowercase_     ,   lowercase_				)
  snake_case_					= karatsuba((aa + aa)     ,   (ba + ba)				)
  snake_case_					= karatsuba(lowercase_     ,   lowercase_				)

  return (z * 10 ** (2 * ma)) + ((y - z - x) * 10 ** (ma)) + (x)



def   UpperCamelCase(   )      ->							Dict:





  '''simple docstring'''





  print(karatsuba(15463     ,   23489				)				)


if __name__ == "__main__":
    main()