



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


def 	_A	(   _UpperCamelCase			):

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


def 	_A	(   _UpperCamelCase      ,					_UpperCamelCase			):
				return normalize_answer(_UpperCamelCase			) == normalize_answer(_UpperCamelCase			)


def 	_A	(   _UpperCamelCase      ,					_UpperCamelCase      ,					_UpperCamelCase			):
				_UpperCAmelCase						:  List[str]     					=	[]
				for ground_truth in ground_truths:
								_UpperCAmelCase						:  Union[str, Any]     					=	metric_fn(_UpperCamelCase      ,					_UpperCamelCase			)
								scores_for_ground_truths.append(_UpperCamelCase			)
				return max(_UpperCamelCase			)


def 	_A	(   _UpperCamelCase      ,					_UpperCamelCase			):
				_UpperCAmelCase						:  Union[str, Any]     					=	0
				for article in dataset:
								for paragraph in article["paragraphs"]:
												for qa in paragraph["qas"]:
																total += 1
																if qa["id"] not in predictions:
																				_UpperCAmelCase						:  List[str]     					=	'''Unanswered question ''' + qa['''id'''] + ''' will receive score 0.'''
																				print(_UpperCamelCase      ,					file=sys.stderr			)
																				continue
																_UpperCAmelCase						:  Optional[int]     					=	[x['''text'''] for x in qa['''answers''']]
																_UpperCAmelCase						:  Optional[Any]     					=	predictions[qa['''id''']]
																exact_match += metric_max_over_ground_truths(_UpperCamelCase      ,					_UpperCamelCase      ,					_UpperCamelCase			)
																fa += metric_max_over_ground_truths(_UpperCamelCase      ,					_UpperCamelCase      ,					_UpperCamelCase			)

				_UpperCAmelCase						:  Dict     					=	100.0 * exact_match / total
				_UpperCAmelCase						:  Dict     					=	100.0 * fa / total

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


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





class 							lowerCAmelCase_		:







		def __init__(    self  :   int       ,		UpperCAmelCase_  :   int					)       ->		None:


						'''simple docstring'''







						_UpperCAmelCase						:  Tuple     					=	data
						_UpperCAmelCase						:  BinaryTreeNode | None     					=	None
						_UpperCAmelCase						:  BinaryTreeNode | None     					=	None


def 	_A	(   _UpperCamelCase      ,					_UpperCamelCase			):
				if node is None:
								_UpperCAmelCase						:  Union[str, Any]     					=	BinaryTreeNode(_UpperCamelCase			)
								return node

				# binary search tree is not empty,
				# so we will insert it into the tree
				# if new_value is less than value of data in node,
				#  add it to left subtree and proceed recursively
				if new_value < node.data:
								_UpperCAmelCase						:  Any     					=	insert(node.left_child      ,					_UpperCamelCase			)
				else:
								# if new_value is greater than value of data in node,
								#  add it to right subtree and proceed recursively
								_UpperCAmelCase						:  List[Any]     					=	insert(node.right_child      ,					_UpperCamelCase			)
				return node


def 	_A	(   _UpperCamelCase			):  # if node is None,return
				if node:
								_UpperCAmelCase						:  str     					=	inorder(node.left_child			)
								_UpperCAmelCase						:  Union[str, Any]     					=	[*inorder_array, node.data]
								_UpperCAmelCase						:  Optional[int]     					=	inorder_array + inorder(node.right_child			)
				else:
								_UpperCAmelCase						:  Tuple     					=	[]
				return inorder_array


def 	_A	(   ):
				_UpperCAmelCase						:  Dict     					=	insert(_UpperCamelCase      ,					15			)
				insert(_UpperCamelCase      ,					10			)
				insert(_UpperCamelCase      ,					25			)
				insert(_UpperCamelCase      ,					6			)
				insert(_UpperCamelCase      ,					14			)
				insert(_UpperCamelCase      ,					20			)
				insert(_UpperCamelCase      ,					60			)
				return root


def 	_A	(   ):
				# main function
				_UpperCAmelCase						:  Tuple     					=	make_tree()
				print('''Printing values of binary search tree in Inorder Traversal.'''			)
				inorder(_UpperCamelCase			)


if __name__ == "__main__":
					import doctest

					doctest.testmod()
					main()
