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





def        lowerCAmelCase       (				snake_case__   :      str )->			Optional[int]:

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

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

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

    def lower(snake_case__   :      List[str] ):
        return text.lower()

    return white_space_fix(remove_articles(remove_punc(lower(snake_case__ ) ) ) )





def        lowerCAmelCase       (				snake_case__   :      List[str]				,					snake_case__   :      str )->			Any:
    A_								=					normalize_answer(snake_case__ ).split()
    A_								=					normalize_answer(snake_case__ ).split()
    A_								=					Counter(snake_case__ ) & Counter(snake_case__ )
    A_								=					sum(common.values() )
    if num_same == 0:
        return 0
    A_								=					1.0 * num_same / len(snake_case__ )
    A_								=					1.0 * num_same / len(snake_case__ )
    A_								=					(2 * precision * recall) / (precision + recall)
    return fa





def        lowerCAmelCase       (				snake_case__   :      Any				,					snake_case__   :      Dict )->			Union[str, Any]:
    return normalize_answer(snake_case__ ) == normalize_answer(snake_case__ )





def        lowerCAmelCase       (				snake_case__   :      List[str]				,					snake_case__   :      Tuple				,					snake_case__   :      Optional[int] )->			Any:
    A_								=					[]
    for ground_truth in ground_truths:
        A_								=					metric_fn(snake_case__				,					snake_case__ )
        scores_for_ground_truths.append(snake_case__ )
    return max(snake_case__ )





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

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

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

            fa += metric_max_over_ground_truths(snake_case__				,					snake_case__				,					snake_case__ )

    A_								=					exact_match / total
    A_								=					fa / total

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


if __name__ == "__main__":
     __magic_name__  :  Optional[Any]     			=   '1.0'
     __magic_name__  :  int     			=   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.')
     __magic_name__  :  List[str]     			=   parser.parse_args()

     with open(args.data_file) as data_file:
          __magic_name__  :  Dict     			=   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,
               )
          __magic_name__  :  Union[str, Any]     			=   dataset_json['data']

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

     __magic_name__			,	__magic_name__  :  List[str]     			=   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)








import sys

sys.set_int_max_str_digits(0)  # type: ignore





def        lowerCAmelCase       (				snake_case__   :      int )->			bool:
    A_								=					[0] * 11
    A_								=					[0] * 11

    # mark last 9 numbers
    for _ in range(9 ):
        A_								=					1
        A_								=					number // 10
    # flag
    A_								=					True

    # check last 9 numbers for pandigitality

    for x in range(9 ):
        if not check_last[x + 1]:
            A_								=					False
    if not f:
        return f

    # mark first 9 numbers
    A_								=					int(str(snake_case__ )[:9] )

    for _ in range(9 ):
        A_								=					1
        A_								=					number // 10

    # check first 9 numbers for pandigitality

    for x in range(9 ):
        if not check_front[x + 1]:
            A_								=					False
    return f





def        lowerCAmelCase       (				snake_case__   :      int )->			bool:
    A_								=					[0] * 11

    # mark last 9 numbers
    for _ in range(9 ):
        A_								=					1
        A_								=					number // 10
    # flag
    A_								=					True

    # check last 9 numbers for pandigitality

    for x in range(9 ):
        if not check_last[x + 1]:
            A_								=					False
    return f





def        lowerCAmelCase       (				)->			int:
    A_								=					1
    A_								=					1
    A_								=					2
    # temporary Fibonacci numbers

    A_								=					1
    A_								=					1
    A_								=					2
    # temporary Fibonacci numbers mod 1e9

    # mod m=1e9, done for fast optimisation
    A_								=					[0] * 1000000
    A_								=					1000000000

    for x in range(1000000 ):
        A_								=					(aa + ba) % m
        A_								=					ba % m
        A_								=					ca % m
        if checka(snake_case__ ):
            A_								=					1

    for x in range(1000000 ):
        A_								=					a + b
        A_								=					b
        A_								=					c
        # perform check only if in tocheck
        if tocheck[x + 3] and check(snake_case__ ):
            return x + 3  # first 2 already done
    return -1


if __name__ == "__main__":
     print(f"""{solution() = }""")






