

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




def       UpperCAmelCase__    (      _A				:			str							):





  '''simple docstring'''







  def remove_articles(_A				:			Dict							):
    return re.sub(r'''\b(a|an|the)\b'''     ,				''' '''     ,				_A							)

  def white_space_fix(_A				:			Optional[Any]							):
    return " ".join(text.split()							)

  def remove_punc(_A				:			Any							):
    a__  =set(string.punctuation							)
    return "".join(ch for ch in text if ch not in exclude							)

  def lower(_A				:			List[Any]							):
    return text.lower()

  return white_space_fix(remove_articles(remove_punc(lower(_A							)							)							)							)




def       UpperCAmelCase__    (      _A				:			Union[str, Any]     ,				_A				:			Dict							):





  '''simple docstring'''







  a__  =normalize_answer(_A							).split()
  a__  =normalize_answer(_A							).split()
  a__  =Counter(_A							) & Counter(_A							)
  a__  =sum(common.values()							)
  if num_same == 0:
    return 0
  a__  =1.0 * num_same / len(_A							)
  a__  =1.0 * num_same / len(_A							)
  a__  =(2 * precision * recall) / (precision + recall)
  return fa




def       UpperCAmelCase__    (      _A				:			Dict     ,				_A				:			Optional[Any]							):





  '''simple docstring'''







  return normalize_answer(_A							) == normalize_answer(_A							)




def       UpperCAmelCase__    (      _A				:			Optional[Any]     ,				_A				:			Any     ,				_A				:			Optional[Any]							):





  '''simple docstring'''







  a__  =[]
  for ground_truth in ground_truths:
    a__  =metric_fn(_A     ,				_A							)
    scores_for_ground_truths.append(_A							)
  return max(_A							)




def       UpperCAmelCase__    (      _A				:			Dict     ,				_A				:			str							):





  '''simple docstring'''







  a__  =a__  =a__  =0
  a__  =[]
  for passage in dataset:
    for qa in passage["qas"]:
      total += 1
      if qa["id"] not in predictions:
        a__  =F"""Unanswered question {qa["id"]} will receive score 0."""
        print(_A     ,				file=sys.stderr							)
        continue

      a__  =[x['''text'''] for x in qa['''answers''']]
      a__  =predictions[qa['''id''']]

      a__  =metric_max_over_ground_truths(_A     ,				_A     ,				_A							)
      if int(_exact_match							) == 1:
        correct_ids.append(qa['''id''']							)
      exact_match += _exact_match

      fa += metric_max_over_ground_truths(_A     ,				_A     ,				_A							)

  a__  =exact_match / total
  a__  =fa / total

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


if __name__ == "__main__":
       lowerCamelCase									= '''1.0'''
       lowerCamelCase									= 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									= parser.parse_args()

       with open(args.data_file) as data_file:
              lowerCamelCase									= 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									= dataset_json['''data''']

       with open(args.pred_file) as pred_file:
              lowerCamelCase									= json.load(pred_file)

       lowerCamelCase					,	lowerCamelCase									= 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)



# tests directory-specific settings - this file is run automatically
# by pytest before any tests are run

import sys
import warnings
from os.path import abspath, dirname, join


# allow having multiple repository checkouts and not needing to remember to rerun
# 'pip install -e .[dev]' when switching between checkouts and running tests.
lowerCamelCase									= abspath(join(dirname(dirname(dirname(__file__))), '''src'''))
sys.path.insert(1, git_repo_path)


# silence FutureWarning warnings in tests since often we can't act on them until
# they become normal warnings - i.e. the tests still need to test the current functionality
warnings.simplefilter(action='''ignore''', category=FutureWarning)




def       UpperCAmelCase__    (      _A				:			List[Any]							):





  '''simple docstring'''







  from diffusers.utils.testing_utils import pytest_addoption_shared

  pytest_addoption_shared(_A							)




def       UpperCAmelCase__    (      _A				:			int							):





  '''simple docstring'''







  from diffusers.utils.testing_utils import pytest_terminal_summary_main

  a__  =terminalreporter.config.getoption('''--make-reports'''							)
  if make_reports:
    pytest_terminal_summary_main(_A     ,				id=_A							)
