
import argparse
import json
import re
import string
import sys
from collections import Counter
def     UpperCAmelCase__							(       __magic_name__						:     Tuple  ):


					'''simple docstring'''

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

					def white_space_fix(__magic_name__						:     Optional[Any]  ):
										return " ".join(text.split()  )

					def remove_punc(__magic_name__						:     Optional[Any]  ):
										lowerCAmelCase		:					int  	=     set(string.punctuation  )
										return "".join(ch for ch in text if ch not in exclude  )

					def lower(__magic_name__						:     Tuple  ):
										return text.lower()

					return white_space_fix(remove_articles(remove_punc(lower(__magic_name__  )  )  )  )
def     UpperCAmelCase__							(       __magic_name__						:     List[Any]							,  __magic_name__						:     Dict  ):


					'''simple docstring'''

					lowerCAmelCase		:					List[str]  	=     normalize_answer(__magic_name__  ).split()
					lowerCAmelCase		:					Union[str, Any]  	=     normalize_answer(__magic_name__  ).split()
					lowerCAmelCase		:					List[Any]  	=     Counter(__magic_name__  ) & Counter(__magic_name__  )
					lowerCAmelCase		:					Tuple  	=     sum(common.values()  )
					if num_same == 0:
										return 0
					lowerCAmelCase		:					List[Any]  	=     1.0 * num_same / len(__magic_name__  )
					lowerCAmelCase		:					Dict  	=     1.0 * num_same / len(__magic_name__  )
					lowerCAmelCase		:					Optional[int]  	=     (2 * precision * recall) / (precision + recall)
					return fa
def     UpperCAmelCase__							(       __magic_name__						:     Tuple							,  __magic_name__						:     List[str]  ):


					'''simple docstring'''

					return normalize_answer(__magic_name__  ) == normalize_answer(__magic_name__  )
def     UpperCAmelCase__							(       __magic_name__						:     Union[str, Any]							,  __magic_name__						:     Dict							,  __magic_name__						:     List[Any]  ):


					'''simple docstring'''

					lowerCAmelCase		:					List[str]  	=     []
					for ground_truth in ground_truths:
										lowerCAmelCase		:					int  	=     metric_fn(__magic_name__							,  __magic_name__  )
										scores_for_ground_truths.append(__magic_name__  )
					return max(__magic_name__  )
def     UpperCAmelCase__							(       __magic_name__						:     str							,  __magic_name__						:     str  ):


					'''simple docstring'''

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

															lowerCAmelCase		:					List[Any]  	=     [x['''text'''] for x in qa['''answers''']]
															lowerCAmelCase		:					List[Any]  	=     predictions[qa['''id''']]

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

															fa += metric_max_over_ground_truths(__magic_name__							,  __magic_name__							,  __magic_name__  )

					lowerCAmelCase		:					Optional[Any]  	=     exact_match / total
					lowerCAmelCase		:					int  	=     fa / total

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


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

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

		with open(args.pred_file) as pred_file:
				__SCREAMING_SNAKE_CASE			:   Optional[Any]         =     json.load(pred_file)

		__SCREAMING_SNAKE_CASE     ,				__SCREAMING_SNAKE_CASE			:   Tuple         =     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__							(       __magic_name__						:     Tuple							,  __magic_name__						:     int							,  __magic_name__						:     Dict							,  __magic_name__						:     str  ):


					'''simple docstring'''

					if start == end:
										return start if lst[start] > item else start + 1
					if start > end:
										return start

					lowerCAmelCase		:					Optional[Any]  	=     (start + end) // 2
					if lst[mid] < item:
										return binary_search(__magic_name__							,  __magic_name__							,  mid + 1							,  __magic_name__  )
					elif lst[mid] > item:
										return binary_search(__magic_name__							,  __magic_name__							,  __magic_name__							,  mid - 1  )
					else:
										return mid
def     UpperCAmelCase__							(       __magic_name__						:     List[Any]  ):


					'''simple docstring'''

					lowerCAmelCase		:					Union[str, Any]  	=     len(__magic_name__  )

					for index in range(1							,  __magic_name__  ):
										lowerCAmelCase		:					Optional[int]  	=     lst[index]
										lowerCAmelCase		:					Dict  	=     binary_search(__magic_name__							,  __magic_name__							,  0							,  index - 1  )
										lowerCAmelCase		:					Union[str, Any]  	=     lst[:pos] + [value] + lst[pos:index] + lst[index + 1 :]

					return lst
def     UpperCAmelCase__							(       __magic_name__						:     Optional[int]							,  __magic_name__						:     List[str]  ):


					'''simple docstring'''

					if not left:
										return right

					if not right:
										return left

					if left[0] < right[0]:
										return [left[0], *merge(left[1:]							,  __magic_name__  )]

					return [right[0], *merge(__magic_name__							,  right[1:]  )]
def     UpperCAmelCase__							(       __magic_name__						:     str  ):


					'''simple docstring'''

					lowerCAmelCase		:					str  	=     len(__magic_name__  )
					lowerCAmelCase	,							lowerCAmelCase		:					Union[str, Any]  	=     [], []
					lowerCAmelCase		:					Union[str, Any]  	=     [lst[0]]
					lowerCAmelCase		:					Optional[Any]  	=     []
					lowerCAmelCase		:					List[Any]  	=     1
					while i < length:
										if lst[i] < lst[i - 1]:
															runs.append(__magic_name__  )
															lowerCAmelCase		:					Any  	=     [lst[i]]
										else:
															new_run.append(lst[i]  )
										i += 1
					runs.append(__magic_name__  )

					for run in runs:
										sorted_runs.append(insertion_sort(__magic_name__  )  )
					for run in sorted_runs:
										lowerCAmelCase		:					int  	=     merge(__magic_name__							,  __magic_name__  )

					return sorted_array
def     UpperCAmelCase__							(       ):


					'''simple docstring'''

					lowerCAmelCase		:					Tuple  	=     [5, 9, 10, 3, -4, 5, 1_78, 92, 46, -18, 0, 7]
					lowerCAmelCase		:					Optional[Any]  	=     tim_sort(__magic_name__  )
					print(__magic_name__  )


if __name__ == "__main__":
		main()
