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




def   _UpperCamelCase   (			snake_case__							)						->   List[Any]:

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

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

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

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

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




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




def   _UpperCamelCase   (			snake_case__,    snake_case__							)						->   int:
							return normalize_answer(snake_case__							) == normalize_answer(snake_case__							)




def   _UpperCamelCase   (			snake_case__,    snake_case__,    snake_case__							)						->   Dict:
							__UpperCAmelCase						:			List[str]         =   []
							for ground_truth in ground_truths:
														__UpperCAmelCase						:			Optional[Any]         =   metric_fn(snake_case__,    snake_case__							)
														scores_for_ground_truths.append(snake_case__							)
							return max(snake_case__							)




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

																					__UpperCAmelCase						:			Any         =   [x["text"] for x in qa["answers"]]
																					__UpperCAmelCase						:			List[str]         =   predictions[qa["id"]]

																					__UpperCAmelCase						:			Union[str, Any]         =   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__							)

							__UpperCAmelCase						:			Tuple         =   exact_match / total
							__UpperCAmelCase						:			List[str]         =   fa / total

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


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

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

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

	_snake_case		,       _snake_case			=						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)





from __future__ import annotations

from collections import deque
from enum import Enum
from math import atana, degrees
from sys import maxsize




class 					_snake_case						(						_lowercase				):
					lowerCamelCase__:		Tuple  =     1
					lowerCamelCase__:		Dict  =     2
					lowerCamelCase__:		List[str]  =     3
					def __repr__(  self:				List[Any]     )    ->				int:
												return f'''{self.__class__.__name__}.{self.name}'''




def   _UpperCamelCase   (			snake_case__,    snake_case__,    snake_case__							)						->   float:
							__UpperCAmelCase    ,	__UpperCAmelCase						:			Optional[Any]         =   point
							return degrees(atana(y - miny,    x - minx							)							)




def   _UpperCamelCase   (			snake_case__,    snake_case__,    snake_case__							)						->   Direction:
							__UpperCAmelCase    ,	__UpperCAmelCase						:			List[Any]         =   starting
							__UpperCAmelCase    ,	__UpperCAmelCase						:			Optional[int]         =   via
							__UpperCAmelCase    ,	__UpperCAmelCase						:			List[str]         =   target
							__UpperCAmelCase						:			Tuple         =   degrees(atana(ya - ya,    xa - xa							)							)
							via_angle %= 360
							__UpperCAmelCase						:			str         =   degrees(atana(ya - ya,    xa - xa							)							)
							target_angle %= 360
							# t-
							#  \ \
							#   \ v
							#    \|
							#     s
							# via_angle is always lower than target_angle, if direction is left.
							# If they are same, it means they are on a same line of convex hull.
							if target_angle > via_angle:
														return Direction.left
							elif target_angle == via_angle:
														return Direction.straight
							else:
														return Direction.right







def   _UpperCamelCase   (			snake_case__							)						->   list[tuple[int, int]]:

							if len(snake_case__							) <= 2:
														# There is no convex hull
														raise ValueError("graham_scan: argument must contain more than 3 points."							)
							if len(snake_case__							) == 3:
														return points
							# find the lowest and the most left point
							__UpperCAmelCase						:			str         =   0
							__UpperCAmelCase    ,	__UpperCAmelCase						:			Any         =   maxsize, maxsize
							for i, point in enumerate(snake_case__							):
														__UpperCAmelCase						:			str         =   point[0]
														__UpperCAmelCase						:			Any         =   point[1]
														if y < miny:
																					__UpperCAmelCase						:			Tuple         =   y
																					__UpperCAmelCase						:			int         =   x
																					__UpperCAmelCase						:			str         =   i
														if y == miny and x < minx:
																					__UpperCAmelCase						:			Any         =   x
																					__UpperCAmelCase						:			Dict         =   i

    # remove the lowest and the most left point from points for preparing for sort
							points.pop(snake_case__							)

							__UpperCAmelCase						:			Any         =   sorted(snake_case__,    key=lambda snake_case__							: angle_comparer(snake_case__,    snake_case__,    snake_case__							)							)
							# This insert actually costs complexity,
							# and you should instead add (minx, miny) into stack later.
							# I'm using insert just for easy understanding.
							sorted_points.insert(0,    (minx, miny)							)

							__UpperCAmelCase						:			deque[tuple[int, int]]         =   deque()
							stack.append(sorted_points[0]							)
							stack.append(sorted_points[1]							)
							stack.append(sorted_points[2]							)
							# In any ways, the first 3 points line are towards left.
							# Because we sort them the angle from minx, miny.
							__UpperCAmelCase						:			Any         =   Direction.left

							for i in range(3,    len(snake_case__							)							):
														while True:
																					__UpperCAmelCase						:			List[Any]         =   stack[-2]
																					__UpperCAmelCase						:			Tuple         =   stack[-1]
																					__UpperCAmelCase						:			Any         =   sorted_points[i]
																					__UpperCAmelCase						:			Optional[Any]         =   check_direction(snake_case__,    snake_case__,    snake_case__							)

																					if next_direction == Direction.left:
																												__UpperCAmelCase						:			Optional[int]         =   Direction.left
																												break
																					if next_direction == Direction.straight:
																												if current_direction == Direction.left:
																																			# We keep current_direction as left.
																																			# Because if the straight line keeps as straight,
																																			# we want to know if this straight line is towards left.
																																			break
																												elif current_direction == Direction.right:
																																			# If the straight line is towards right,
																																			# every previous points on those straigh line is not convex hull.
																																			stack.pop()
																					if next_direction == Direction.right:
																												stack.pop()
														stack.append(sorted_points[i]							)
							return list(snake_case__							)




