




import argparse
import json
import re
import string
import sys

import numpy as np


lowercase_     :    int      =			0.5


def 							__SCREAMING_SNAKE_CASE  (      snake_case_     ,   snake_case_						):

						'''simple docstring'''


						_UpperCAmelCase													=					[".", ",", ";", ":"]

						for token in remove_tokens:
												_UpperCAmelCase													=					ground_truth.replace(snake_case_     ,   ""						)
												_UpperCAmelCase													=					prediction.replace(snake_case_     ,   ""						)

						_UpperCAmelCase							,			_UpperCAmelCase													=					ground_truth.lower(), prediction.lower()
						_UpperCAmelCase							,			_UpperCAmelCase													=					ground_truth.replace("/"     ,   " "						), prediction.replace("/"     ,   " "						)
						_UpperCAmelCase							,			_UpperCAmelCase													=					set(ground_truth.split(" "						)						), set(prediction.split(" "						)						)

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


def 							__SCREAMING_SNAKE_CASE  (      snake_case_						):

						'''simple docstring'''


						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													=					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 							__SCREAMING_SNAKE_CASE  (      snake_case_     ,   snake_case_     ,   snake_case_						):

						'''simple docstring'''


						_UpperCAmelCase							,			_UpperCAmelCase							,			_UpperCAmelCase													=					0, 0, 0

						_UpperCAmelCase													=					"Parties" in qa_id

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

																		if not match_found:
																								fp += 1

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

						return precision, recall


def 							__SCREAMING_SNAKE_CASE  (      snake_case_						):

						'''simple docstring'''


						_UpperCAmelCase													=					precisions[::-1]
						for i in range(1     ,   len(snake_case_						)						):
												_UpperCAmelCase													=					max(precision_best[i - 1]     ,   precision_best[i]						)
						_UpperCAmelCase													=					precision_best[::-1]
						return precisions


def 							__SCREAMING_SNAKE_CASE  (      snake_case_     ,   snake_case_						):

						'''simple docstring'''


						_UpperCAmelCase													=					process_precisions(snake_case_						)
						_UpperCAmelCase													=					np.trapz(snake_case_     ,   snake_case_						)
						if np.isnan(snake_case_						):
												return 0
						return aupr


def 							__SCREAMING_SNAKE_CASE  (      snake_case_     ,   snake_case_     ,   snake_case_						):

						'''simple docstring'''


						_UpperCAmelCase													=					process_precisions(snake_case_						)
						_UpperCAmelCase													=					0
						for prec, recall in zip(snake_case_     ,   snake_case_						):
												if recall >= recall_thresh:
																		_UpperCAmelCase													=					prec
																		break
						return prec_at_recall


def 							__SCREAMING_SNAKE_CASE  (      snake_case_     ,   snake_case_						):

						'''simple docstring'''


						return normalize_answer(snake_case_						) == normalize_answer(snake_case_						)


def 							__SCREAMING_SNAKE_CASE  (      snake_case_     ,   snake_case_     ,   snake_case_						):

						'''simple docstring'''


						_UpperCAmelCase													=					0
						for pred in predictions:
												for ground_truth in ground_truths:
																		_UpperCAmelCase													=					metric_fn(snake_case_     ,   snake_case_						)
																		if score == 1:  # break the loop when one prediction matches the ground truth
																								break
												if score == 1:
																		break
						return score


def 							__SCREAMING_SNAKE_CASE  (      snake_case_     ,   snake_case_						):

						'''simple docstring'''


						_UpperCAmelCase													=					_UpperCAmelCase													=					_UpperCAmelCase													=					0
						_UpperCAmelCase													=					[]
						_UpperCAmelCase													=					[]
						for article in dataset:
												for paragraph in article["paragraphs"]:
																		for qa in paragraph["qas"]:
																								total += 1
																								if qa["id"] not in predictions:
																														_UpperCAmelCase													=					"Unanswered question " + qa["id"] + " will receive score 0."
																														print(snake_case_     ,   file=sys.stderr						)
																														continue
																								_UpperCAmelCase													=					[x["text"] for x in qa["answers"]]
																								_UpperCAmelCase													=					predictions[qa["id"]]
																								_UpperCAmelCase							,			_UpperCAmelCase													=					compute_precision_recall(snake_case_     ,   snake_case_     ,   qa["id"]						)

																								precisions.append(snake_case_						)
																								recalls.append(snake_case_						)

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

																								exact_match += metric_max_over_ground_truths(snake_case_     ,   snake_case_     ,   snake_case_						)

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

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

						_UpperCAmelCase													=					get_prec_at_recall(snake_case_     ,   snake_case_     ,   recall_thresh=0.9						)
						_UpperCAmelCase													=					get_prec_at_recall(snake_case_     ,   snake_case_     ,   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_     :    int      =			argparse.ArgumentParser(description='Evaluation for CUAD')
				parser.add_argument('dataset_file', help='Dataset file')
				parser.add_argument('prediction_file', help='Prediction File')
				lowercase_     :    Tuple      =			parser.parse_args()
				with open(args.dataset_file) as dataset_file:
								lowercase_     :    Any      =			json.load(dataset_file)
								lowercase_     :    Union[str, Any]      =			dataset_json['data']
				with open(args.prediction_file) as prediction_file:
								lowercase_     :    str      =			json.load(prediction_file)
				print(json.dumps(evaluate(dataset, predictions)))










from __future__ import annotations

from abc import abstractmethod
from collections.abc import Iterable
from typing import Generic, Protocol, TypeVar






class    __lowerCAmelCase			(	UpperCAmelCase__			):







			@abstractmethod
			def __lt__(	self   :      T   ,   snake_case__   :      T				):




									"""simple docstring"""


									pass







			@abstractmethod
			def __gt__(	self   :      T   ,   snake_case__   :      T				):




									"""simple docstring"""


									pass







			@abstractmethod
			def __eq__(	self   :      T   ,   snake_case__   :      object				):




									"""simple docstring"""


									pass




lowercase_     :    Tuple      =			TypeVar('T', bound=Comparable)






class    __lowerCAmelCase			(	Generic[T]			):







			def __init__(	self   :      Optional[int]				):




									"""simple docstring"""


									_UpperCAmelCase													=					[]
									_UpperCAmelCase													=					0







			def __repr__(	self   :      Dict				):




									"""simple docstring"""


									return str(self.h				)







			def UpperCamelCase      (	self   :      Optional[Any]   ,   snake_case__   :      int				):




									"""simple docstring"""


									if child_idx > 0:
															return (child_idx - 1) // 2
									return None







			def UpperCamelCase      (	self   :      Tuple   ,   snake_case__   :      int				):




									"""simple docstring"""


									_UpperCAmelCase													=					2 * parent_idx + 1
									if left_child_index < self.heap_size:
															return left_child_index
									return None







			def UpperCamelCase      (	self   :      Union[str, Any]   ,   snake_case__   :      int				):




									"""simple docstring"""


									_UpperCAmelCase													=					2 * parent_idx + 2
									if right_child_index < self.heap_size:
															return right_child_index
									return None







			def UpperCamelCase      (	self   :      Dict   ,   snake_case__   :      int				):




									"""simple docstring"""


									if index < self.heap_size:
															_UpperCAmelCase													=					index
															_UpperCAmelCase													=					self.left_child_idx(snake_case__				)
															_UpperCAmelCase													=					self.right_child_idx(snake_case__				)
															# check which child is larger than its parent
															if left_child is not None and self.h[left_child] > self.h[violation]:
																					_UpperCAmelCase													=					left_child
															if right_child is not None and self.h[right_child] > self.h[violation]:
																					_UpperCAmelCase													=					right_child
															# if violation indeed exists
															if violation != index:
																					# swap to fix the violation
																					_UpperCAmelCase							,			_UpperCAmelCase													=					self.h[index], self.h[violation]
																					# fix the subsequent violation recursively if any
																					self.max_heapify(snake_case__				)







			def UpperCamelCase      (	self   :      Tuple   ,   snake_case__   :      Iterable[T]				):




									"""simple docstring"""


									_UpperCAmelCase													=					list(snake_case__				)
									_UpperCAmelCase													=					len(self.h				)
									if self.heap_size > 1:
															# max_heapify from right to left but exclude leaves (last level)
															for i in range(self.heap_size // 2 - 1   ,   -1   ,   -1				):
																					self.max_heapify(snake_case__				)







			def UpperCamelCase      (	self   :      Tuple				):




									"""simple docstring"""


									if self.heap_size >= 2:
															_UpperCAmelCase													=					self.h[0]
															_UpperCAmelCase													=					self.h.pop(-1				)
															self.heap_size -= 1
															self.max_heapify(0				)
															return me
									elif self.heap_size == 1:
															self.heap_size -= 1
															return self.h.pop(-1				)
									else:
															raise Exception("Empty heap"				)







			def UpperCamelCase      (	self   :      str   ,   snake_case__   :      T				):




									"""simple docstring"""


									self.h.append(snake_case__				)
									_UpperCAmelCase													=					(self.heap_size - 1) // 2
									self.heap_size += 1
									while idx >= 0:
															self.max_heapify(snake_case__				)
															_UpperCAmelCase													=					(idx - 1) // 2







			def UpperCamelCase      (	self   :      Any				):




									"""simple docstring"""


									_UpperCAmelCase													=					self.heap_size
									for j in range(size - 1   ,   0   ,   -1				):
															_UpperCAmelCase							,			_UpperCAmelCase													=					self.h[j], self.h[0]
															self.heap_size -= 1
															self.max_heapify(0				)
									_UpperCAmelCase													=					size


if __name__ == "__main__":
				import doctest

				# run doc test
				doctest.testmod()

				# demo
				for unsorted in [
				    [0],
				    [2],
				    [3, 5],
				    [5, 3],
				    [5, 5],
				    [0, 0, 0, 0],
				    [1, 1, 1, 1],
				    [2, 2, 3, 5],
				    [0, 2, 2, 3, 5],
				    [2, 5, 3, 0, 2, 3, 0, 3],
				    [6, 1, 2, 7, 9, 3, 4, 5, 10, 8],
				    [1_03, 9, 1, 7, 11, 15, 25, 2_01, 2_09, 1_07, 5],
				    [-45, -2, -5],
				]:
								print(f"""unsorted array: {unsorted}""")

								lowercase_     :    Heap[int]      =			Heap()
								heap.build_max_heap(unsorted)
								print(f"""after build heap: {heap}""")

								print(f"""max value: {heap.extract_max()}""")
								print(f"""after max value removed: {heap}""")

								heap.insert(1_00)
								print(f"""after new value 100 inserted: {heap}""")

								heap.heap_sort()
								print(f"""heap-sorted array: {heap}\n""")




