


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




def   lowerCamelCase_       (					UpperCAmelCase__      ):



      """simple docstring"""




      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_					=		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   lowerCamelCase_       (					UpperCAmelCase__       ,    UpperCAmelCase__      ):



      """simple docstring"""




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




def   lowerCamelCase_       (					UpperCAmelCase__       ,    UpperCAmelCase__      ):



      """simple docstring"""




      return normalize_answer(UpperCAmelCase__      ) == normalize_answer(UpperCAmelCase__      )




def   lowerCamelCase_       (					UpperCAmelCase__       ,    UpperCAmelCase__       ,    UpperCAmelCase__      ):



      """simple docstring"""




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




def   lowerCamelCase_       (					UpperCAmelCase__       ,    UpperCAmelCase__      ):



      """simple docstring"""




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

      a_					=		1_00.0 * exact_match / total
      a_					=		1_00.0 * fa / total

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


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



from collections.abc import Callable

A_    :					Any             =Callable[[float], float]  # type alias for a real -> real function




def   lowerCamelCase_       (					UpperCAmelCase__       ,    UpperCAmelCase__       ,    UpperCAmelCase__       ,    ):



						"""simple docstring"""




						a_					=		float(UpperCAmelCase__      )
						while True:
												try:
																		a_					=		prev_guess - function(UpperCAmelCase__      ) / derivative(UpperCAmelCase__      )
												except ZeroDivisionError:
																		raise ZeroDivisionError("""Could not find root"""      ) from None
												if abs(prev_guess - next_guess      ) < 10**-5:
																		return next_guess
												a_					=		next_guess




def   lowerCamelCase_       (					UpperCAmelCase__      ):



						"""simple docstring"""




						return (x**3) - (2 * x) - 5




def   lowerCamelCase_       (					UpperCAmelCase__      ):



						"""simple docstring"""




						return 3 * (x**2) - 2


if __name__ == "__main__":
	print(newton(f, fa, 3))