code: 
  
  '''simple docstring'''
  
  import argparse
  import json
  import re
  import string
  import sys
  from collections import Counter
  
  
  
  
  
  def lowerCamelCase    (    lowerCAmelCase       :			Dict	):
  
  
  
  
  
  	"""simple docstring"""
  
  
  
  
  
  
  
  	def remove_articles(lowerCAmelCase       :			Any	):
  		return re.sub(R'\b(a|an|the)\b'	,	' '	,	lowerCAmelCase	)
  
  	def white_space_fix(lowerCAmelCase       :			Optional[int]	):
  		return " ".join(text.split()	)
  
  	def remove_punc(lowerCAmelCase       :			int	):
  		__magic_name__ :					List[str]  			=  set(string.punctuation	)
  		return "".join(ch for ch in text if ch not in exclude	)
  
  	def lower(lowerCAmelCase       :			str	):
  		return text.lower()
  
  	return white_space_fix(remove_articles(remove_punc(lower(lowerCAmelCase	)	)	)	)
  
  
  
  
  
  def lowerCamelCase    (    lowerCAmelCase       :			Tuple	,	lowerCAmelCase       :			List[str]	):
  
  
  
  
  
  	"""simple docstring"""
  
  
  
  
  
  
  
  	__magic_name__ :					Union[str, Any]  			=  normalize_answer(lowerCAmelCase	).split()
  	__magic_name__ :					Optional[Any]  			=  normalize_answer(lowerCAmelCase	).split()
  	__magic_name__ :					int  			=  Counter(lowerCAmelCase	) & Counter(lowerCAmelCase	)
  	__magic_name__ :					str  			=  sum(common.values()	)
  	if num_same == 0:
  		return 0
  	__magic_name__ :					Any  			=  1.0 * num_same / len(lowerCAmelCase	)
  	__magic_name__ :					str  			=  1.0 * num_same / len(lowerCAmelCase	)
  	__magic_name__ :					Dict  			=  (2 * precision * recall) / (precision + recall)
  	return fa
  
  
  
  
  
  def lowerCamelCase    (    lowerCAmelCase       :			Dict	,	lowerCAmelCase       :			Dict	):
  
  
  
  
  
  	"""simple docstring"""
  
  
  
  
  
  
  
  	return normalize_answer(lowerCAmelCase	) == normalize_answer(lowerCAmelCase	)
  
  
  
  
  
  def lowerCamelCase    (    lowerCAmelCase       :			Optional[Any]	,	lowerCAmelCase       :			List[str]	,	lowerCAmelCase       :			List[Any]	):
  
  
  
  
  
  	"""simple docstring"""
  
  
  
  
  
  
  
  	__magic_name__ :					Any  			=  []
  	for ground_truth in ground_truths:
  		__magic_name__ :					str  			=  metric_fn(lowerCAmelCase	,	lowerCAmelCase	)
  		scores_for_ground_truths.append(lowerCAmelCase	)
  	return max(lowerCAmelCase	)
  
  
  
  
  
  def lowerCamelCase    (    lowerCAmelCase       :			Optional[int]	,	lowerCAmelCase       :			Dict	):
  
  
  
  
  
  	"""simple docstring"""
  
  
  
  
  
  
  
  	__magic_name__ :					List[Any]  			=  0
  	__magic_name__ :					Optional[Any]  			=  []
  	for passage in dataset:
  		for qa in passage["qas"]:
  			total += 1
  			if qa["id"] not in predictions:
  				__magic_name__ :					Tuple  			=  f'Unanswered question {qa["id"]} will receive score 0.'
  				print(lowerCAmelCase	,	file=sys.stderr	)
  				continue
  
  			__magic_name__ :					int  			=  [x['text'] for x in qa['answers']]
  			__magic_name__ :					Optional[Any]  			=  predictions[qa['id']]
  
  			__magic_name__ :					int  			=  metric_max_over_ground_truths(lowerCAmelCase	,	lowerCAmelCase	,	lowerCAmelCase	)
  			if int(_exact_match	) == 1:
  				correct_ids.append(qa['id']	)
  			exact_match += _exact_match
  
  			fa += metric_max_over_ground_truths(lowerCAmelCase	,	lowerCAmelCase	,	lowerCAmelCase	)
  
  	__magic_name__ :					Optional[int]  			=  exact_match / total
  	__magic_name__ :					Union[str, Any]  			=  fa / total
  
  	return {"exact_match": exact_match, "f1": fa}, correct_ids
  
  
  if __name__ == "__main__":
  							lowerCAmelCase   :List[Any]								=    "1.0"
  							lowerCAmelCase   :List[Any]								=    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.''')
  							lowerCAmelCase   :List[str]								=    parser.parse_args()
  
  							with open(args.data_file) as data_file:
  														lowerCAmelCase   :Tuple								=    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,
  																					)
  														lowerCAmelCase   :int								=    dataset_json["data"]
  
  							with open(args.pred_file) as pred_file:
  														lowerCAmelCase   :List[str]								=    json.load(pred_file)
  
  							lowerCAmelCase   :str								=    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)
style_context: 
  
  
  '''simple docstring'''
  
  from .number_theory.prime_numbers import next_prime
  class _lowerCamelCase :
  
  
  
  		'''simple docstring'''
  
  
  
  
  
  
  
  		def __init__(      self	:		Dict						,  _A	:		int						,  _A	:		int | None = None						,  _A	:		float | None = None						,  )						->				None:
  			__magic_name__ :					Optional[int]  			=  size_table
  			__magic_name__ :					int  			=  [None] * self.size_table
  			__magic_name__ :					int  			=  0.75 if lim_charge is None else lim_charge
  			__magic_name__ :					int  			=  1 if charge_factor is None else charge_factor
  			__magic_name__ :					list  			=  []
  			__magic_name__ :					dict  			=  {}
  
  
  
  
  
  
  
  		def      __lowerCAmelCase	(      self	:		List[str]    )						->				str:
  			return self._keys
  
  
  
  
  
  
  
  		def      __lowerCAmelCase	(      self	:		Dict    )						->				Optional[Any]:
  			return sum(1 for slot in self.values if slot is not None    ) / (
  			    self.size_table * self.charge_factor
  			)
  
  
  
  
  
  
  
  		def      __lowerCAmelCase	(      self	:		int						,  _A	:		int    )						->				List[Any]:
  			return key % self.size_table
  
  
  
  
  
  
  
  		def      __lowerCAmelCase	(      self	:		List[Any]						,  _A	:		Tuple    )						->				Optional[int]:
  			print(F'step {step_ord}'    )
  			print(list(range(len(self.values    )    )    )    )
  			print(self.values    )
  
  
  
  
  
  
  
  		def      __lowerCAmelCase	(      self	:		str						,  _A	:		Optional[Any]    )						->				Optional[int]:
  			__magic_name__ :					int  			=  1
  			__magic_name__ :					Optional[int]  			=  values
  			for value in values:
  				self.insert_data(_A    )
  				self._step_by_step(_A    )
  				i += 1
  
  
  
  
  
  
  
  		def      __lowerCAmelCase	(      self	:		List[Any]						,  _A	:		List[str]						,  _A	:		List[Any]    )						->				Dict:
  			__magic_name__ :					str  			=  data
  			__magic_name__ :					Optional[int]  			=  data
  
  
  
  
  
  
  
  		def      __lowerCAmelCase	(      self	:		Union[str, Any]						,  _A	:		List[Any]						,  _A	:		Union[str, Any]=None    )						->				int:
  			__magic_name__ :					int  			=  self.hash_function(key + 1    )
  
  			while self.values[new_key] is not None and self.values[new_key] != key:
  				if self.values.count(_A    ) > 0:
  					__magic_name__ :					Dict  			=  self.hash_function(new_key + 1    )
  				else:
  					__magic_name__ :					Tuple  			=  None
  					break
  
  			return new_key
  
  
  
  
  
  
  
  		def      __lowerCAmelCase	(      self	:		List[str]    )						->				Tuple:
  			__magic_name__ :					Dict  			=  [value for value in self.values if value is not None]
  			__magic_name__ :					int  			=  next_prime(self.size_table						,  factor=2    )
  			self._keys.clear()
  			__magic_name__ :					Tuple  			=  [None] * self.size_table  # hell's pointers D: don't DRY ;/
  			for value in survivor_values:
  				self.insert_data(_A    )
  
  
  
  
  
  
  
  		def      __lowerCAmelCase	(      self	:		Tuple						,  _A	:		Union[str, Any]    )						->				Tuple:
  			__magic_name__ :					Tuple  			=  self.hash_function(_A    )
  
  			if self.values[key] is None:
  				self._set_value(_A						,  _A    )
  
  			elif self.values[key] == data:
  				pass
  
  			else:
  				__magic_name__ :					str  			=  self._collision_resolution(_A						,  _A    )
  				if collision_resolution is not None:
  					self._set_value(_A						,  _A    )
  				else:
  					self.rehashing()
  					self.insert_data(_A    )