
"""simple docstring"""
import argparse
import json
import re
import string
import sys
from collections import Counter

def 				lowercase      (_lowerCAmelCase		):

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

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

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

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

						return white_space_fix(remove_articles(remove_punc(lower(_lowerCAmelCase		)		)		)		)

def 				lowercase      (_lowerCAmelCase				,  _lowerCAmelCase		):
						__lowerCAmelCase        =       normalize_answer(_lowerCAmelCase		).split()
						__lowerCAmelCase        =       normalize_answer(_lowerCAmelCase		).split()
						__lowerCAmelCase        =       Counter(_lowerCAmelCase		) & Counter(_lowerCAmelCase		)
						__lowerCAmelCase        =       sum(common.values()		)
						if num_same == 0:
												return 0
						__lowerCAmelCase        =       1.0 * num_same / len(_lowerCAmelCase		)
						__lowerCAmelCase        =       1.0 * num_same / len(_lowerCAmelCase		)
						__lowerCAmelCase        =       (2 * precision * recall) / (precision + recall)
						return fa

def 				lowercase      (_lowerCAmelCase				,  _lowerCAmelCase		):
						return normalize_answer(_lowerCAmelCase		) == normalize_answer(_lowerCAmelCase		)

def 				lowercase      (_lowerCAmelCase				,  _lowerCAmelCase				,  _lowerCAmelCase		):
						__lowerCAmelCase        =       []
						for ground_truth in ground_truths:
												__lowerCAmelCase        =       metric_fn(_lowerCAmelCase				,  _lowerCAmelCase		)
												scores_for_ground_truths.append(_lowerCAmelCase		)
						return max(_lowerCAmelCase		)

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

						__lowerCAmelCase        =       100.0 * exact_match / total
						__lowerCAmelCase        =       100.0 * fa / total

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


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


"""simple docstring"""
from __future__ import annotations

from typing import Generic, TypeVar

SCREAMING_SNAKE_CASE_			      =					TypeVar('''T''')
class      lowerCAmelCase_						(							A__				):



							'''simple docstring'''





							pass
class      lowerCAmelCase_						(							A__				):



							'''simple docstring'''





							pass
class      lowerCAmelCase_						(							Generic[T]				):



							'''simple docstring'''





							def __init__(				self  ,							snake_case_ = 10							)   ->       Tuple:
													__lowerCAmelCase        =       []
													__lowerCAmelCase        =       limit




							def __bool__(				self							)   ->       bool:
													return bool(self.stack							)




							def __str__(				self							)   ->       str:
													return str(self.stack							)




							def  A__		(				self  ,							snake_case_							)   ->       None:
													if len(self.stack							) >= self.limit:
																			raise StackOverflowError
													self.stack.append(snake_case_							)




							def  A__		(				self							)   ->       T:
													if not self.stack:
																			raise StackUnderflowError
													return self.stack.pop()




							def  A__		(				self							)   ->       T:
													if not self.stack:
																			raise StackUnderflowError
													return self.stack[-1]




							def  A__		(				self							)   ->       bool:
													return not bool(self.stack							)




							def  A__		(				self							)   ->       bool:
													return self.size() == self.limit




							def  A__		(				self							)   ->       int:
													return len(self.stack							)




							def __contains__(				self  ,							snake_case_							)   ->       bool:
													return item in self.stack

def 				lowercase      ():
						__lowerCAmelCase        =       Stack(10		)
						assert bool(_lowerCAmelCase		) is False
						assert stack.is_empty() is True
						assert stack.is_full() is False
						assert str(_lowerCAmelCase		) == "[]"

						try:
												__lowerCAmelCase        =       stack.pop()
												raise AssertionError  # This should not happen
						except StackUnderflowError:
												assert True  # This should happen

						try:
												__lowerCAmelCase        =       stack.peek()
												raise AssertionError  # This should not happen
						except StackUnderflowError:
												assert True  # This should happen

						for i in range(10		):
												assert stack.size() == i
												stack.push(_lowerCAmelCase		)

						assert bool(_lowerCAmelCase		)
						assert not stack.is_empty()
						assert stack.is_full()
						assert str(_lowerCAmelCase		) == str(list(range(10		)		)		)
						assert stack.pop() == 9
						assert stack.peek() == 8

						stack.push(100		)
						assert str(_lowerCAmelCase		) == str([0, 1, 2, 3, 4, 5, 6, 7, 8, 100]		)

						try:
												stack.push(200		)
												raise AssertionError  # This should not happen
						except StackOverflowError:
												assert True  # This should happen

						assert not stack.is_empty()
						assert stack.size() == 10

						assert 5 in stack
						assert 55 not in stack


if __name__ == "__main__":
			test_stack()
