


"""simple docstring"""







import argparse
import json
import re
import string
import sys

import numpy as np


__lowercase          = 0.5


def 	lowercase     (							A_    ,  A_			)-> str:
  '''simple docstring'''







  a		:						Optional[Any] 				=     [""".""", """,""", """;""", """:"""]

  for token in remove_tokens:
    a		:						List[Any] 				=     ground_truth.replace(_lowercase    ,  ""			)
    a		:						List[str] 				=     prediction.replace(_lowercase    ,  ""			)

  a		:						Union[str, Any] 				=     ground_truth.lower(), prediction.lower()
  a		:						Tuple 				=     ground_truth.replace("/"    ,  " "			), prediction.replace("/"    ,  " "			)
  a		:						List[str] 				=     set(ground_truth.split(" "			)			), set(prediction.split(" "			)			)

  a		:						Optional[Any] 				=     ground_truth.intersection(_lowercase			)
  a		:						List[str] 				=     ground_truth.union(_lowercase			)
  a		:						int 				=     len(_lowercase			) / len(_lowercase			)
  return jaccard


def 	lowercase     (							A_			)-> Any:
  '''simple docstring'''







  def remove_articles(A_			):
    return re.sub(R"\b(a|an|the)\b"    ,  " "    ,  _lowercase			)

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

  def remove_punc(A_			):
    a		:						Dict 				=     set(string.punctuation			)
    return "".join(ch for ch in text if ch not in exclude			)

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

  return white_space_fix(remove_articles(remove_punc(lower(_lowercase			)			)			)			)


def 	lowercase     (							A_    ,  A_    ,  A_			)-> Optional[int]:
  '''simple docstring'''







  a		:						List[str] 				=     0, 0, 0

  a		:						Dict 				=     """Parties""" in qa_id

  # first check if ground truth is empty
  if len(_lowercase			) == 0:
    if len(_lowercase			) > 0:
      fp += len(_lowercase			)  # false positive for each one
  else:
    for ground_truth in ground_truths:
      assert len(_lowercase			) > 0
      # check if there is a match
      a		:						Any 				=     False
      for pred in predictions:
        if substr_ok:
          a		:						Dict 				=     get_jaccard(_lowercase    ,  _lowercase			) >= IOU_THRESH or ground_truth in pred
        else:
          a		:						Tuple 				=     get_jaccard(_lowercase    ,  _lowercase			) >= IOU_THRESH
        if is_match:
          a		:						int 				=     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.)
      a		:						Optional[Any] 				=     False
      for ground_truth in ground_truths:
        assert len(_lowercase			) > 0
        if substr_ok:
          a		:						Union[str, Any] 				=     get_jaccard(_lowercase    ,  _lowercase			) >= IOU_THRESH or ground_truth in pred
        else:
          a		:						str 				=     get_jaccard(_lowercase    ,  _lowercase			) >= IOU_THRESH
        if is_match:
          a		:						Optional[Any] 				=     True

      if not match_found:
        fp += 1

  a		:						int 				=     tp / (tp + fp) if tp + fp > 0 else np.nan
  a		:						int 				=     tp / (tp + fn) if tp + fn > 0 else np.nan

  return precision, recall


def 	lowercase     (							A_			)-> Optional[int]:
  '''simple docstring'''







  a		:						Union[str, Any] 				=     precisions[::-1]
  for i in range(1    ,  len(_lowercase			)			):
    a		:						Optional[int] 				=     max(precision_best[i - 1]    ,  precision_best[i]			)
  a		:						str 				=     precision_best[::-1]
  return precisions


def 	lowercase     (							A_    ,  A_			)-> Union[str, Any]:
  '''simple docstring'''







  a		:						List[Any] 				=     process_precisions(_lowercase			)
  a		:						Tuple 				=     np.trapz(_lowercase    ,  _lowercase			)
  if np.isnan(_lowercase			):
    return 0
  return aupr


def 	lowercase     (							A_    ,  A_    ,  A_			)-> List[Any]:
  '''simple docstring'''







  a		:						List[str] 				=     process_precisions(_lowercase			)
  a		:						Optional[Any] 				=     0
  for prec, recall in zip(_lowercase    ,  _lowercase			):
    if recall >= recall_thresh:
      a		:						List[str] 				=     prec
      break
  return prec_at_recall


def 	lowercase     (							A_    ,  A_			)-> List[Any]:
  '''simple docstring'''







  return normalize_answer(_lowercase			) == normalize_answer(_lowercase			)


def 	lowercase     (							A_    ,  A_    ,  A_			)-> int:
  '''simple docstring'''







  a		:						int 				=     0
  for pred in predictions:
    for ground_truth in ground_truths:
      a		:						Optional[int] 				=     metric_fn(_lowercase    ,  _lowercase			)
      if score == 1:  # break the loop when one prediction matches the ground truth
        break
    if score == 1:
      break
  return score


def 	lowercase     (							A_    ,  A_			)-> Dict:
  '''simple docstring'''







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

        precisions.append(_lowercase			)
        recalls.append(_lowercase			)

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

        exact_match += metric_max_over_ground_truths(_lowercase    ,  _lowercase    ,  _lowercase			)

  a		:						int 				=     [x for _, x in sorted(zip(_lowercase    ,  _lowercase			)			)]
  recalls.sort()

  a		:						int 				=     1_0_0.0 * fa / total
  a		:						Optional[int] 				=     1_0_0.0 * exact_match / total
  a		:						List[Any] 				=     get_aupr(_lowercase    ,  _lowercase			)

  a		:						Dict 				=     get_prec_at_recall(_lowercase    ,  _lowercase    ,  recall_thresh=0.9			)
  a		:						Union[str, Any] 				=     get_prec_at_recall(_lowercase    ,  _lowercase    ,  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__":
 __lowercase          = argparse.ArgumentParser(description="""Evaluation for CUAD""")
 parser.add_argument("""dataset_file""", help="""Dataset file""")
 parser.add_argument("""prediction_file""", help="""Prediction File""")
 __lowercase          = parser.parse_args()
 with open(args.dataset_file) as dataset_file:
  __lowercase          = json.load(dataset_file)
  __lowercase          = dataset_json["""data"""]
 with open(args.prediction_file) as prediction_file:
  __lowercase          = json.load(prediction_file)
 print(json.dumps(evaluate(dataset, predictions)))











'''simple docstring'''




from __future__ import annotations

from collections.abc import Iterable

class      UpperCamelCase_					:





	def __init__(    self						,						A						,						A       )     ->     int:
								UpperCAmelCase	,	UpperCAmelCase	:						Any					=						float(A       ), float(A       )





	def __eq__(    self						,						A       )     ->     str:
								return self.x == other.x and self.y == other.y





	def __ne__(    self						,						A       )     ->     Dict:
								return not self == other





	def __gt__(    self						,						A       )     ->     Dict:
								if self.x > other.x:
															return True
								elif self.x == other.x:
															return self.y > other.y
								return False





	def __lt__(    self						,						A       )     ->     str:
								return not self > other





	def __ge__(    self						,						A       )     ->     Union[str, Any]:
								if self.x > other.x:
															return True
								elif self.x == other.x:
															return self.y >= other.y
								return False





	def __le__(    self						,						A       )     ->     List[str]:
								if self.x < other.x:
															return True
								elif self.x == other.x:
															return self.y <= other.y
								return False





	def __repr__(    self       )     ->     Tuple:
								return f'''({self.x}, {self.y})'''






	def __hash__(    self       )     ->     List[str]:
								return hash(self.x       )




def  __lowerCamelCase    (   _lowercase      ,							) ->     list[Point]:
							UpperCAmelCase	:						list[Point]					=						[]
							if list_of_tuples:
														for p in list_of_tuples:
																					if isinstance(_lowercase      ,							_lowercase						):
																												points.append(_lowercase						)
																					else:
																												try:
																																			points.append(Point(p[0]      ,							p[1]						)						)
																												except (IndexError, TypeError):
																																			print(
																																			    F'''Ignoring deformed point {p}. All points'''
																																			    """ must have at least 2 coordinates."""						)
							return points



def  __lowerCamelCase    (   _lowercase						) ->     list[Point]:

							if not hasattr(_lowercase      ,							"""__iter__"""						):
														UpperCAmelCase	:						List[str]					=						F'''Expecting an iterable object but got an non-iterable type {points}'''
														raise ValueError(_lowercase						)

							if not points:
														UpperCAmelCase	:						Optional[int]					=						F'''Expecting a list of points but got {points}'''
														raise ValueError(_lowercase						)

							return _construct_points(_lowercase						)



def  __lowerCamelCase    (   _lowercase      ,							_lowercase      ,							_lowercase						) ->     float:
							UpperCAmelCase	:						Dict					=						(a.x * b.y + b.x * c.y + c.x * a.y) - (a.y * b.x + b.y * c.x + c.y * a.x)
							return det



def  __lowerCamelCase    (   _lowercase						) ->     list[Point]:
							UpperCAmelCase	:						Optional[int]					=						sorted(_validate_input(_lowercase						)						)
							UpperCAmelCase	:						int					=						len(_lowercase						)
							UpperCAmelCase	:						Any					=						set()

							for i in range(n - 1						):
														for j in range(i + 1      ,							_lowercase						):
																					UpperCAmelCase	:						Optional[Any]					=						False
																					UpperCAmelCase	:						Optional[int]					=						True
																					for k in range(_lowercase						):
																												if k != i and k != j:
																																			UpperCAmelCase	:						Union[str, Any]					=						_det(points[i]      ,							points[j]      ,							points[k]						)

																																			if det_k > 0:
																																										UpperCAmelCase	:						Optional[int]					=						True
																																			elif det_k < 0:
																																										UpperCAmelCase	:						int					=						True
																																			else:
																																										# point[i], point[j], point[k] all lie on a straight line
																																										# if point[k] is to the left of point[i] or it's to the
																																										# right of point[j], then point[i], point[j] cannot be
																																										# part of the convex hull of A
																																										if points[k] < points[i] or points[k] > points[j]:
																																																	UpperCAmelCase	:						List[Any]					=						False
																																																	break

																												if points_left_of_ij and points_right_of_ij:
																																			UpperCAmelCase	:						Union[str, Any]					=						False
																																			break

																					if ij_part_of_convex_hull:
																												convex_set.update([points[i], points[j]]						)

							return sorted(_lowercase						)



def  __lowerCamelCase    (   _lowercase						) ->     list[Point]:
							UpperCAmelCase	:						List[str]					=						sorted(_validate_input(_lowercase						)						)
							UpperCAmelCase	:						Optional[Any]					=						len(_lowercase						)

							# divide all the points into an upper hull and a lower hull
							# the left most point and the right most point are definitely
							# members of the convex hull by definition.
							# use these two anchors to divide all the points into two hulls,
							# an upper hull and a lower hull.

							# all points to the left (above) the line joining the extreme points belong to the
							# upper hull
							# all points to the right (below) the line joining the extreme points below to the
							# lower hull
							# ignore all points on the line joining the extreme points since they cannot be
							# part of the convex hull

							UpperCAmelCase	:						List[str]					=						points[0]
							UpperCAmelCase	:						Union[str, Any]					=						points[n - 1]

							UpperCAmelCase	:						int					=						{left_most_point, right_most_point}
							UpperCAmelCase	:						Dict					=						[]
							UpperCAmelCase	:						Any					=						[]

							for i in range(1      ,							n - 1						):
														UpperCAmelCase	:						Any					=						_det(_lowercase      ,							_lowercase      ,							points[i]						)

														if det > 0:
																					upper_hull.append(points[i]						)
														elif det < 0:
																					lower_hull.append(points[i]						)

							_construct_hull(_lowercase      ,							_lowercase      ,							_lowercase      ,							_lowercase						)
							_construct_hull(_lowercase      ,							_lowercase      ,							_lowercase      ,							_lowercase						)

							return sorted(_lowercase						)



def  __lowerCamelCase    (   _lowercase      ,							_lowercase      ,							_lowercase      ,							_lowercase						) ->     None:
							if points:
														UpperCAmelCase	:						Union[str, Any]					=						None
														UpperCAmelCase	:						int					=						float("""-inf"""						)
														UpperCAmelCase	:						Tuple					=						[]

														for p in points:
																					UpperCAmelCase	:						List[Any]					=						_det(_lowercase      ,							_lowercase      ,							_lowercase						)

																					if det > 0:
																												candidate_points.append(_lowercase						)

																												if det > extreme_point_distance:
																																			UpperCAmelCase	:						List[str]					=						det
																																			UpperCAmelCase	:						Optional[Any]					=						p

														if extreme_point:
																					_construct_hull(_lowercase      ,							_lowercase      ,							_lowercase      ,							_lowercase						)
																					convex_set.add(_lowercase						)
																					_construct_hull(_lowercase      ,							_lowercase      ,							_lowercase      ,							_lowercase						)



def  __lowerCamelCase    (   _lowercase						) ->     list[Point]:
							UpperCAmelCase	:						Any					=						sorted(_validate_input(_lowercase						)						)
							UpperCAmelCase	:						Union[str, Any]					=						len(_lowercase						)

							UpperCAmelCase	:						Dict					=						points[:2]
							for i in range(2      ,							_lowercase						):
														UpperCAmelCase	:						Dict					=						_det(convex_hull[1]      ,							convex_hull[0]      ,							points[i]						)
														if det > 0:
																					convex_hull.insert(0      ,							points[i]						)
																					break
														elif det < 0:
																					convex_hull.append(points[i]						)
																					break
														else:
																					UpperCAmelCase	:						Dict					=						points[i]
							i += 1

							for j in range(_lowercase      ,							_lowercase						):
														if (
														    _det(convex_hull[0]      ,							convex_hull[-1]      ,							points[j]						) > 0
														    and _det(convex_hull[-1]      ,							convex_hull[0]      ,							points[1]						) < 0
														):
																					# The point lies within the convex hull
																					continue

														convex_hull.insert(0      ,							points[j]						)
														convex_hull.append(points[j]						)
														while _det(convex_hull[0]      ,							convex_hull[1]      ,							convex_hull[2]						) >= 0:
																					del convex_hull[1]
														while _det(convex_hull[-1]      ,							convex_hull[-2]      ,							convex_hull[-3]						) <= 0:
																					del convex_hull[-2]

    # `convex_hull` is contains the convex hull in circular order
							return sorted(convex_hull[1:] if len(_lowercase						) > 3 else convex_hull						)



def  __lowerCamelCase    (   ) ->     Tuple:
							UpperCAmelCase	:						Tuple					=						[
							    (0, 3),
							    (2, 2),
							    (1, 1),
							    (2, 1),
							    (3, 0),
							    (0, 0),
							    (3, 3),
							    (2, -1),
							    (2, -4),
							    (1, -3),
							]
							# the convex set of points is
							# [(0, 0), (0, 3), (1, -3), (2, -4), (3, 0), (3, 3)]
							UpperCAmelCase	:						Tuple					=						convex_hull_bf(_lowercase						)

							UpperCAmelCase	:						List[Any]					=						convex_hull_recursive(_lowercase						)
							assert results_bf == results_recursive

							UpperCAmelCase	:						Union[str, Any]					=						convex_hull_melkman(_lowercase						)
							assert results_bf == results_melkman

							print(_lowercase						)


if __name__ == "__main__":
							main()

