





"""simple docstring"""
import argparse
import json
import re
import string
import sys

import numpy as np


__UpperCamelCase			:		List[Any]		    =   0.5

def 						_SCREAMING_SNAKE_CASE       (_UpperCAmelCase :  List[str]   ,			_UpperCAmelCase :  List[Any]       ):
 lowerCAmelCase  							=      ['.', ',', ';', ':']

 for token in remove_tokens:
  lowerCAmelCase  							=      ground_truth.replace(_UpperCAmelCase   ,			''       )
  lowerCAmelCase  							=      prediction.replace(_UpperCAmelCase   ,			''       )

 lowerCAmelCase							,lowerCAmelCase  							=      ground_truth.lower(), prediction.lower()
 lowerCAmelCase							,lowerCAmelCase  							=      ground_truth.replace('/'   ,			' '       ), prediction.replace('/'   ,			' '       )
 lowerCAmelCase							,lowerCAmelCase  							=      set(ground_truth.split(' '       )       ), set(prediction.split(' '       )       )

 lowerCAmelCase  							=      ground_truth.intersection(_UpperCAmelCase       )
 lowerCAmelCase  							=      ground_truth.union(_UpperCAmelCase       )
 lowerCAmelCase  							=      len(_UpperCAmelCase       ) / len(_UpperCAmelCase       )
 return jaccard

def 						_SCREAMING_SNAKE_CASE       (_UpperCAmelCase :  List[str]       ):

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

 def white_space_fix(_UpperCAmelCase :  str       ):
  return " ".join(text.split()       )

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

 def lower(_UpperCAmelCase :  Optional[int]       ):
  return text.lower()

 return white_space_fix(remove_articles(remove_punc(lower(_UpperCAmelCase       )       )       )       )

def 						_SCREAMING_SNAKE_CASE       (_UpperCAmelCase :  Optional[int]   ,			_UpperCAmelCase :  List[Any]   ,			_UpperCAmelCase :  str       ):
 lowerCAmelCase							,lowerCAmelCase							,lowerCAmelCase  							=      0, 0, 0

 lowerCAmelCase  							=      'Parties' in qa_id

 # first check if ground truth is empty
 if len(_UpperCAmelCase       ) == 0:
  if len(_UpperCAmelCase       ) > 0:
   fp += len(_UpperCAmelCase       )  # false positive for each one
 else:
  for ground_truth in ground_truths:
   assert len(_UpperCAmelCase       ) > 0
   # check if there is a match
   lowerCAmelCase  							=      False
   for pred in predictions:
    if substr_ok:
     lowerCAmelCase  							=      get_jaccard(_UpperCAmelCase   ,			_UpperCAmelCase       ) >= IOU_THRESH or ground_truth in pred
    else:
     lowerCAmelCase  							=      get_jaccard(_UpperCAmelCase   ,			_UpperCAmelCase       ) >= IOU_THRESH
    if is_match:
     lowerCAmelCase  							=      True

   if match_found:
    tp += 1
   else:
    fn += 1

        # now also get any fps by looping through preds
  for pred in predictions:
   # Check if there's a match. if so, don't count (don't want to double count based on the above)
   # but if there's no match, then this is a false positive.
   # (Note: we get the true positives in the above loop instead of this loop so that we don't double count
   # multiple predictions that are matched with the same answer.)
   lowerCAmelCase  							=      False
   for ground_truth in ground_truths:
    assert len(_UpperCAmelCase       ) > 0
    if substr_ok:
     lowerCAmelCase  							=      get_jaccard(_UpperCAmelCase   ,			_UpperCAmelCase       ) >= IOU_THRESH or ground_truth in pred
    else:
     lowerCAmelCase  							=      get_jaccard(_UpperCAmelCase   ,			_UpperCAmelCase       ) >= IOU_THRESH
    if is_match:
     lowerCAmelCase  							=      True

   if not match_found:
    fp += 1

 lowerCAmelCase  							=      tp / (tp + fp) if tp + fp > 0 else np.nan
 lowerCAmelCase  							=      tp / (tp + fn) if tp + fn > 0 else np.nan

 return precision, recall

def 						_SCREAMING_SNAKE_CASE       (_UpperCAmelCase :  Tuple       ):
 lowerCAmelCase  							=      precisions[::-1]
 for i in range(1   ,			len(_UpperCAmelCase       )       ):
  lowerCAmelCase  							=      max(precision_best[i - 1]   ,			precision_best[i]       )
 lowerCAmelCase  							=      precision_best[::-1]
 return precisions

def 						_SCREAMING_SNAKE_CASE       (_UpperCAmelCase :  List[Any]   ,			_UpperCAmelCase :  Optional[Any]       ):
 lowerCAmelCase  							=      process_precisions(_UpperCAmelCase       )
 lowerCAmelCase  							=      np.trapz(_UpperCAmelCase   ,			_UpperCAmelCase       )
 if np.isnan(_UpperCAmelCase       ):
  return 0
 return aupr

def 						_SCREAMING_SNAKE_CASE       (_UpperCAmelCase :  Dict   ,			_UpperCAmelCase :  Dict   ,			_UpperCAmelCase :  Optional[int]       ):
 lowerCAmelCase  							=      process_precisions(_UpperCAmelCase       )
 lowerCAmelCase  							=      0
 for prec, recall in zip(_UpperCAmelCase   ,			_UpperCAmelCase       ):
  if recall >= recall_thresh:
   lowerCAmelCase  							=      prec
   break
 return prec_at_recall

def 						_SCREAMING_SNAKE_CASE       (_UpperCAmelCase :  Dict   ,			_UpperCAmelCase :  List[Any]       ):
 return normalize_answer(_UpperCAmelCase       ) == normalize_answer(_UpperCAmelCase       )

def 						_SCREAMING_SNAKE_CASE       (_UpperCAmelCase :  Tuple   ,			_UpperCAmelCase :  Dict   ,			_UpperCAmelCase :  Optional[Any]       ):
 lowerCAmelCase  							=      0
 for pred in predictions:
  for ground_truth in ground_truths:
   lowerCAmelCase  							=      metric_fn(_UpperCAmelCase   ,			_UpperCAmelCase       )
   if score == 1:  # break the loop when one prediction matches the ground truth
    break
  if score == 1:
   break
 return score

def 						_SCREAMING_SNAKE_CASE       (_UpperCAmelCase :  int   ,			_UpperCAmelCase :  str       ):
 lowerCAmelCase  							=      lowerCAmelCase  							=      lowerCAmelCase  							=      0
 lowerCAmelCase  							=      []
 lowerCAmelCase  							=      []
 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(_UpperCAmelCase   ,			file=sys.stderr       )
     continue
    lowerCAmelCase  							=      [x['text'] for x in qa['answers']]
    lowerCAmelCase  							=      predictions[qa['id']]
    lowerCAmelCase							,lowerCAmelCase  							=      compute_precision_recall(_UpperCAmelCase   ,			_UpperCAmelCase   ,			qa['id']       )

    precisions.append(_UpperCAmelCase       )
    recalls.append(_UpperCAmelCase       )

    if precision == 0 and recall == 0:
     fa += 0
    else:
     fa += 2 * (precision * recall) / (precision + recall)

    exact_match += metric_max_over_ground_truths(_UpperCAmelCase   ,			_UpperCAmelCase   ,			_UpperCAmelCase       )

 lowerCAmelCase  							=      [x for _, x in sorted(zip(_UpperCAmelCase   ,			_UpperCAmelCase       )       )]
 recalls.sort()

 lowerCAmelCase  							=      100.0 * fa / total
 lowerCAmelCase  							=      100.0 * exact_match / total
 lowerCAmelCase  							=      get_aupr(_UpperCAmelCase   ,			_UpperCAmelCase       )

 lowerCAmelCase  							=      get_prec_at_recall(_UpperCAmelCase   ,			_UpperCAmelCase   ,			recall_thresh=0.9       )
 lowerCAmelCase  							=      get_prec_at_recall(_UpperCAmelCase   ,			_UpperCAmelCase   ,			recall_thresh=0.8       )

 return {
     "exact_match": exact_match,
     "f1": fa,
     "aupr": aupr,
     "prec_at_80_recall": prec_at_aa_recall,
     "prec_at_90_recall": prec_at_aa_recall,
 }


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








from __future__ import annotations

import os



class SCREAMING_SNAKE_CASE	:
  """simple docstring"""






  lowerCamelCase    :			Union[str, Any]						      =(
      "High card",
      "One pair",
      "Two pairs",
      "Three of a kind",
      "Straight",
      "Flush",
      "Full house",
      "Four of a kind",
      "Straight flush",
      "Royal flush",
  )

  lowerCamelCase    :			Dict						      =(
      "",  # placeholder as tuples are zero-indexed
      "One",
      "Two",
      "Three",
      "Four",
      "Five",
      "Six",
      "Seven",
      "Eight",
      "Nine",
      "Ten",
      "Jack",
      "Queen",
      "King",
      "Ace",
  )







  def __init__(			self :    Tuple       ,							lowerCAmelCase :    str    )							->	None:






     """simple docstring"""







     if not isinstance(lowerCAmelCase       ,							lowerCAmelCase    ):
        __lowerCAmelCase  :			Tuple					    =						f'''Hand should be of type \'str\': {hand!r}'''
        raise TypeError(lowerCAmelCase    )
     # split removes duplicate whitespaces so no need of strip
     if len(hand.split(""" """    )    ) != 5:
        __lowerCAmelCase  :			Any					    =						f'''Hand should contain only 5 cards: {hand!r}'''
        raise ValueError(lowerCAmelCase    )
     __lowerCAmelCase  :			int					    =						hand
     __lowerCAmelCase  :			Any					    =						0
     __lowerCAmelCase  :			str					    =						0
     __lowerCAmelCase    ,__lowerCAmelCase  :			List[str]					    =						self._internal_state()
     __lowerCAmelCase  :			int					    =						self._get_hand_type()
     __lowerCAmelCase  :			Any					    =						self._card_values[0]







  @property
  def        SCREAMING_SNAKE_CASE    (			self :    Union[str, Any]    )							->	Optional[int]:






     """simple docstring"""







     return self._hand







  def        SCREAMING_SNAKE_CASE    (			self :    Dict       ,							lowerCAmelCase :    PokerHand    )							->	str:






     """simple docstring"""







     if self._hand_type > other._hand_type:
        return "Win"
     elif self._hand_type < other._hand_type:
        return "Loss"
     elif self._first_pair == other._first_pair:
        if self._second_pair == other._second_pair:
           return self._compare_cards(lowerCAmelCase    )
        else:
           return "Win" if self._second_pair > other._second_pair else "Loss"
     return "Win" if self._first_pair > other._first_pair else "Loss"







  def        SCREAMING_SNAKE_CASE    (			self :    int    )							->	str:






     """simple docstring"""







     __lowerCAmelCase  :			Optional[int]					    =						PokerHand._HAND_NAME[self._hand_type - 14]
     __lowerCAmelCase  :			str					    =						PokerHand._CARD_NAME[self._high_card]
     __lowerCAmelCase  :			Optional[Any]					    =						PokerHand._CARD_NAME[self._first_pair]
     __lowerCAmelCase  :			Any					    =						PokerHand._CARD_NAME[self._second_pair]
     if self._hand_type in [22, 19, 18]:
        return name + f''', {high}-high'''
     elif self._hand_type in [21, 17, 15]:
        return name + f''', {paira}s'''
     elif self._hand_type in [20, 16]:
        __lowerCAmelCase  :			List[str]					    =						"""over""" if self._hand_type == 20 else """and"""
        return name + f''', {paira}s {join} {paira}s'''
     elif self._hand_type == 23:
        return name
     else:
        return name + f''', {high}'''







  def        SCREAMING_SNAKE_CASE    (			self :    Dict       ,							lowerCAmelCase :    PokerHand    )							->	str:






     """simple docstring"""







     for index, card_value in enumerate(self._card_values    ):
        if card_value != other._card_values[index]:
           return "Win" if card_value > other._card_values[index] else "Loss"
     return "Tie"







  def        SCREAMING_SNAKE_CASE    (			self :    Optional[int]    )							->	int:






     """simple docstring"""







     if self._is_flush():
        if self._is_five_high_straight() or self._is_straight():
           return 23 if sum(self._card_values    ) == 60 else 22
        return 19
     elif self._is_five_high_straight() or self._is_straight():
        return 18
     return 14 + self._is_same_kind()







  def        SCREAMING_SNAKE_CASE    (			self :    List[Any]    )							->	bool:






     """simple docstring"""







     return len(self._card_suit    ) == 1







  def        SCREAMING_SNAKE_CASE    (			self :    List[str]    )							->	bool:






     """simple docstring"""







     if sorted(self._card_values    ) == [2, 3, 4, 5, 14]:
        if self._card_values[0] == 14:
           # Remember, our list is sorted in reverse order
           __lowerCAmelCase  :			Optional[Any]					    =						self._card_values.pop(0    )
           self._card_values.append(lowerCAmelCase    )
        return True
     return False







  def        SCREAMING_SNAKE_CASE    (			self :    List[str]    )							->	bool:






     """simple docstring"""







     for i in range(4    ):
        if self._card_values[i] - self._card_values[i + 1] != 1:
           return False
     return True







  def        SCREAMING_SNAKE_CASE    (			self :    Optional[int]    )							->	int:






     """simple docstring"""







     __lowerCAmelCase  :			str					    =						0
     for i in range(4    ):
        # Compare two cards at a time, if they are same increase 'kind',
        # add the value of the card to val1, if it is repeating again we
        # will add 2 to 'kind' as there are now 3 cards with same value.
        # If we get card of different value than val1, we will do the same
        # thing with val2
        if self._card_values[i] == self._card_values[i + 1]:
           if not vala:
              __lowerCAmelCase  :			List[str]					    =						self._card_values[i]
              kind += 1
           elif vala == self._card_values[i]:
              kind += 2
           elif not vala:
              __lowerCAmelCase  :			Optional[Any]					    =						self._card_values[i]
              kind += 1
           elif vala == self._card_values[i]:
              kind += 2
        # For consistency in hand type (look at note in _get_hand_type function)
     __lowerCAmelCase  :			List[Any]					    =						kind + 2 if kind in [4, 5] else kind
     # first meaning first pair to compare in 'compare_with'
     __lowerCAmelCase  :			Optional[int]					    =						max(lowerCAmelCase       ,							lowerCAmelCase    )
     __lowerCAmelCase  :			Optional[Any]					    =						min(lowerCAmelCase       ,							lowerCAmelCase    )
     # If it's full house (three count pair + two count pair), make sure
     # first pair is three count and if not then switch them both.
     if kind == 6 and self._card_values.count(lowerCAmelCase    ) != 3:
        __lowerCAmelCase    ,__lowerCAmelCase  :			Tuple					    =						second, first
     __lowerCAmelCase  :			Optional[Any]					    =						first
     __lowerCAmelCase  :			Union[str, Any]					    =						second
     return kind







  def        SCREAMING_SNAKE_CASE    (			self :    List[Any]    )							->	tuple[list[int], set[str]]:






     """simple docstring"""







     __lowerCAmelCase  :			dict					    =						{"T": "10", "J": "11", "Q": "12", "K": "13", "A": "14"}
     __lowerCAmelCase  :			Optional[Any]					    =						self._hand.translate(str.maketrans(lowerCAmelCase    )    ).split()
     __lowerCAmelCase  :			List[str]					    =						[int(card[:-1]    ) for card in new_hand]
     __lowerCAmelCase  :			str					    =						{card[-1] for card in new_hand}
     return sorted(lowerCAmelCase       ,							reverse=lowerCAmelCase    ), card_suit







  def __repr__(			self :    List[str]    )							->	Any:






     """simple docstring"""







     return f'''{self.__class__}("{self._hand}")'''







  def __str__(			self :    Any    )							->	Any:






     """simple docstring"""







     return self._hand







  def __eq__(			self :    Union[str, Any]       ,							lowerCAmelCase :    List[Any]    )							->	Union[str, Any]:






     """simple docstring"""







     if isinstance(lowerCAmelCase       ,							lowerCAmelCase    ):
        return self.compare_with(lowerCAmelCase    ) == "Tie"
     return NotImplemented







  def __lt__(			self :    Dict       ,							lowerCAmelCase :    str    )							->	List[str]:






     """simple docstring"""







     if isinstance(lowerCAmelCase       ,							lowerCAmelCase    ):
        return self.compare_with(lowerCAmelCase    ) == "Loss"
     return NotImplemented







  def __le__(			self :    str       ,							lowerCAmelCase :    int    )							->	Union[str, Any]:






     """simple docstring"""







     if isinstance(lowerCAmelCase       ,							lowerCAmelCase    ):
        return self < other or self == other
     return NotImplemented







  def __gt__(			self :    Dict       ,							lowerCAmelCase :    str    )							->	Optional[Any]:






     """simple docstring"""







     if isinstance(lowerCAmelCase       ,							lowerCAmelCase    ):
        return not self < other and self != other
     return NotImplemented







  def __ge__(			self :    Tuple       ,							lowerCAmelCase :    Tuple    )							->	Dict:






     """simple docstring"""







     if isinstance(lowerCAmelCase       ,							lowerCAmelCase    ):
        return not self < other
     return NotImplemented







  def __hash__(			self :    List[str]    )							->	str:






     """simple docstring"""







     return object.__hash__(self    )






def 	snake_case_      ()			->	int:
   # Solution for problem number 54 from Project Euler
   # Input from poker_hands.txt file
   __lowerCAmelCase  :			str					    =						0
   __lowerCAmelCase  :			List[str]					    =						os.path.abspath(os.path.dirname(__A     )     )
   __lowerCAmelCase  :			Optional[Any]					    =						os.path.join(__A					,   """poker_hands.txt"""     )
   with open(__A     ) as file_hand:
      for line in file_hand:
         __lowerCAmelCase  :			Union[str, Any]					    =						line[:1_4].strip()
         __lowerCAmelCase  :			Optional[int]					    =						line[1_5:].strip()
         __lowerCAmelCase    ,__lowerCAmelCase  :			List[str]					    =						PokerHand(__A     ), PokerHand(__A     )
         __lowerCAmelCase  :			List[str]					    =						player.compare_with(__A     )
         if output == "Win":
            answer += 1
   return answer


if __name__ == "__main__":
   solution()


