code: 
  
  
  """simple docstring"""
  import argparse
  import json
  import re
  import string
  import sys
  from collections import Counter
  
  def 							_snake_case			(      __snake_case       :			str      ):
  
  
  
  
     """simple docstring"""
  
  
  
  
  
  
  
     def remove_articles(__snake_case       :			List[str]      ):
        return re.sub(R"""\b(a|an|the)\b"""	,   """ """	,   __snake_case      )
  
     def white_space_fix(__snake_case       :			Dict      ):
        return " ".join(text.split()      )
  
     def remove_punc(__snake_case       :			Union[str, Any]      ):
        _lowerCamelCase  :				List[str]      =		set(string.punctuation      )
        return "".join(ch for ch in text if ch not in exclude      )
  
     def lower(__snake_case       :			Optional[Any]      ):
        return text.lower()
  
     return white_space_fix(remove_articles(remove_punc(lower(__snake_case      )      )      )      )
  
  def 							_snake_case			(      __snake_case       :			Union[str, Any]	,   __snake_case       :			Tuple      ):
  
  
  
  
     """simple docstring"""
  
  
  
  
  
  
  
     _lowerCamelCase  :				List[str]      =		normalize_answer(__snake_case      ).split()
     _lowerCamelCase  :				str      =		normalize_answer(__snake_case      ).split()
     _lowerCamelCase  :				Optional[int]      =		Counter(__snake_case      ) & Counter(__snake_case      )
     _lowerCamelCase  :				Union[str, Any]      =		sum(common.values()      )
     if num_same == 0:
        return 0
     _lowerCamelCase  :				Tuple      =		1.0 * num_same / len(__snake_case      )
     _lowerCamelCase  :				int      =		1.0 * num_same / len(__snake_case      )
     _lowerCamelCase  :				Tuple      =		(2 * precision * recall) / (precision + recall)
     return fa
  
  def 							_snake_case			(      __snake_case       :			Optional[int]	,   __snake_case       :			Optional[Any]      ):
  
  
  
  
     """simple docstring"""
  
  
  
  
  
  
  
     return normalize_answer(__snake_case      ) == normalize_answer(__snake_case      )
  
  def 							_snake_case			(      __snake_case       :			Dict	,   __snake_case       :			Tuple	,   __snake_case       :			List[str]      ):
  
  
  
  
     """simple docstring"""
  
  
  
  
  
  
  
     _lowerCamelCase  :				Union[str, Any]      =		[]
     for ground_truth in ground_truths:
        _lowerCamelCase  :				List[str]      =		metric_fn(__snake_case	,   __snake_case      )
        scores_for_ground_truths.append(__snake_case      )
     return max(__snake_case      )
  
  def 							_snake_case			(      __snake_case       :			List[str]	,   __snake_case       :			Tuple      ):
  
  
  
  
     """simple docstring"""
  
  
  
  
  
  
  
     _lowerCamelCase  :				Union[str, Any]      =		0
     _lowerCamelCase  :				Any      =		[]
     for passage in dataset:
        for qa in passage["qas"]:
           total += 1
           if qa["id"] not in predictions:
              _lowerCamelCase  :				Any      =		F'Unanswered question {qa["id"]} will receive score 0.'
              print(__snake_case	,   file=sys.stderr      )
              continue
  
           _lowerCamelCase  :				Dict      =		[x["""text"""] for x in qa["""answers"""]]
           _lowerCamelCase  :				Tuple      =		predictions[qa["""id"""]]
  
           _lowerCamelCase  :				Dict      =		metric_max_over_ground_truths(__snake_case	,   __snake_case	,   __snake_case      )
           if int(_exact_match      ) == 1:
              correct_ids.append(qa["""id"""]      )
           exact_match += _exact_match
  
           fa += metric_max_over_ground_truths(__snake_case	,   __snake_case	,   __snake_case      )
  
     _lowerCamelCase  :				Any      =		exact_match / total
     _lowerCamelCase  :				Union[str, Any]      =		fa / total
  
     return {"exact_match": exact_match, "f1": fa}, correct_ids
  
  
  if __name__ == "__main__":
   UpperCAmelCase   =	"""1.0"""
   UpperCAmelCase   =	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.""")
   UpperCAmelCase   =	parser.parse_args()
  
   with open(args.data_file) as data_file:
    UpperCAmelCase   =	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,
     )
    UpperCAmelCase   =	dataset_json["""data"""]
  
   with open(args.pred_file) as pred_file:
    UpperCAmelCase   =	json.load(pred_file)
  
   UpperCAmelCase ,     UpperCAmelCase   =	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"""
  import subprocess
  from argparse import ArgumentParser
  from typing import List, Union
  
  from huggingface_hub.hf_api import HfFolder, create_repo, whoami
  from requests.exceptions import HTTPError
  
  from . import BaseTransformersCLICommand
  
  
  
  
  class   lowercase__							(				A_							):
  
  
  
  
  
     @staticmethod
     def 		UpperCamelCase_     (       SCREAMING_SNAKE_CASE)     ->     Dict:
        _lowerCamelCase  :				Optional[Any]      =		parser.add_parser("""login"""			,      help="""Log in using the same credentials as on huggingface.co""")
        login_parser.set_defaults(func=lambda SCREAMING_SNAKE_CASE: LoginCommand(SCREAMING_SNAKE_CASE))
        _lowerCamelCase  :				Any      =		parser.add_parser("""whoami"""			,      help="""Find out which huggingface.co account you are logged in as.""")
        whoami_parser.set_defaults(func=lambda SCREAMING_SNAKE_CASE: WhoamiCommand(SCREAMING_SNAKE_CASE))
        _lowerCamelCase  :				Optional[int]      =		parser.add_parser("""logout"""			,      help="""Log out""")
        logout_parser.set_defaults(func=lambda SCREAMING_SNAKE_CASE: LogoutCommand(SCREAMING_SNAKE_CASE))
  
        # new system: git-based repo system
        _lowerCamelCase  :				Optional[int]      =		parser.add_parser(
            """repo"""			,      help="""Deprecated: use `huggingface-cli` instead. Commands to interact with your huggingface.co repos."""			,      )
        _lowerCamelCase  :				Optional[Any]      =		repo_parser.add_subparsers(
            help="""Deprecated: use `huggingface-cli` instead. huggingface.co repos related commands""")
        _lowerCamelCase  :				Dict      =		repo_subparsers.add_parser(
            """create"""			,      help="""Deprecated: use `huggingface-cli` instead. Create a new repo on huggingface.co""")
        repo_create_parser.add_argument(
            """name"""			,      type=SCREAMING_SNAKE_CASE			,      help="""Name for your model's repo. Will be namespaced under your username to build the model id."""			,      )
        repo_create_parser.add_argument("""--organization"""			,      type=SCREAMING_SNAKE_CASE			,      help="""Optional: organization namespace.""")
        repo_create_parser.add_argument("""-y"""			,      """--yes"""			,      action="""store_true"""			,      help="""Optional: answer Yes to the prompt""")
        repo_create_parser.set_defaults(func=lambda SCREAMING_SNAKE_CASE: RepoCreateCommand(SCREAMING_SNAKE_CASE))
  
  
  
  
  
  
  
  class   lowercase__							:
     __UpperCAmelCase       					=				'''\u001b[1m'''
     __UpperCAmelCase       					=				'''\u001b[31m'''
     __UpperCAmelCase       					=				'''\u001b[90m'''
     __UpperCAmelCase       					=				'''\u001b[0m'''
  
  
  
  
  
     @classmethod
     def 		UpperCamelCase_     (       cls			,      SCREAMING_SNAKE_CASE)     ->     Dict:
        return F'{cls._bold}{s}{cls._reset}'
  
  
  
  
  
     @classmethod
     def 		UpperCamelCase_     (       cls			,      SCREAMING_SNAKE_CASE)     ->     Union[str, Any]:
        return F'{cls._bold}{cls._red}{s}{cls._reset}'
  
  
  
  
  
     @classmethod
     def 		UpperCamelCase_     (       cls			,      SCREAMING_SNAKE_CASE)     ->     Tuple:
        return F'{cls._gray}{s}{cls._reset}'
  
  
  
  
  
  
  
  def 							_snake_case			(      __snake_case       :			List[List[Union[str, int]]]	,   __snake_case       :			List[str]      ):
  
  
  
  
     """simple docstring"""
  
  
  
  
  
  
  
     _lowerCamelCase  :				str      =		[max(len(str(__snake_case      )      ) for x in col      ) for col in zip(*__snake_case	,   __snake_case      )]
     _lowerCamelCase  :				Any      =		("""{{:{}}} """ * len(__snake_case      )).format(*__snake_case      )
     _lowerCamelCase  :				Optional[Any]      =		[]
     lines.append(row_format.format(*__snake_case      )      )
     lines.append(row_format.format(*["""-""" * w for w in col_widths]      )      )
     for row in rows:
        lines.append(row_format.format(*__snake_case      )      )
     return "\n".join(__snake_case      )
  
  
  
  
  class   lowercase__							:
  
  
  
  
  
     def __init__(       self			,      SCREAMING_SNAKE_CASE)     ->     List[str]:
        _lowerCamelCase  :				Any      =		args
  
  
  
  
  
  
  
  class   lowercase__							(				A_							):
  
  
  
  
  
     def 		UpperCamelCase_     (       self)     ->     int:
        print(
            ANSI.red(
                """ERROR! `huggingface-cli login` uses an outdated login mechanism """
                """that is not compatible with the Hugging Face Hub backend anymore. """
                """Please use `huggingface-cli login instead."""))
  
  
  
  
  
  
  
  class   lowercase__							(				A_							):
  
  
  
  
  
     def 		UpperCamelCase_     (       self)     ->     Tuple:
        print(
            ANSI.red(
                """WARNING! `transformers-cli whoami` is deprecated and will be removed in v5. Please use """
                """`huggingface-cli whoami` instead."""))
        _lowerCamelCase  :				Tuple      =		HfFolder.get_token()
        if token is None:
           print("""Not logged in""")
           exit()
        try:
           _lowerCamelCase      ,						_lowerCamelCase  :				int      =		whoami(SCREAMING_SNAKE_CASE)
           print(SCREAMING_SNAKE_CASE)
           if orgs:
              print(ANSI.bold("""orgs: """)			,      """,""".join(SCREAMING_SNAKE_CASE))
        except HTTPError as e:
           print(SCREAMING_SNAKE_CASE)
           print(ANSI.red(e.response.text))
           exit(1)
  
  
  
  
  
  
  
  class   lowercase__							(				A_							):
  
  
  
  
  
     def 		UpperCamelCase_     (       self)     ->     Union[str, Any]:
        print(
            ANSI.red(
                """ERROR! `transformers-cli logout` uses an outdated logout mechanism """
                """that is not compatible with the Hugging Face Hub backend anymore. """
                """Please use `huggingface-cli logout instead."""))
  
  
  
  
  
  
  
  class   lowercase__							(				A_							):
  
  
  
  
  
     def 		UpperCamelCase_     (       self)     ->     List[Any]:
        print(
            ANSI.red(
                """WARNING! Managing repositories through transformers-cli is deprecated. """
                """Please use `huggingface-cli` instead."""))
        _lowerCamelCase  :				Union[str, Any]      =		HfFolder.get_token()
        if token is None:
           print("""Not logged in""")
           exit(1)
        try:
           _lowerCamelCase  :				Union[str, Any]      =		subprocess.check_output(["""git""", """--version"""]).decode("""utf-8""")
           print(ANSI.gray(stdout.strip()))
        except FileNotFoundError:
           print("""Looks like you do not have git installed, please install.""")
  
        try:
           _lowerCamelCase  :				List[str]      =		subprocess.check_output(["""git-lfs""", """--version"""]).decode("""utf-8""")
           print(ANSI.gray(stdout.strip()))
        except FileNotFoundError:
           print(
               ANSI.red(
                   """Looks like you do not have git-lfs installed, please install."""
                   """ You can install from https://git-lfs.github.com/."""
                   """ Then run `git lfs install` (you only have to do this once)."""))
        print("""""")
  
        _lowerCamelCase      ,						_lowerCamelCase  :				str      =		whoami(SCREAMING_SNAKE_CASE)
        _lowerCamelCase  :				str      =		self.args.organization if self.args.organization is not None else user
        _lowerCamelCase  :				Union[str, Any]      =		F'{namespace}/{self.args.name}'
        print(F'You are about to create {ANSI.bold(SCREAMING_SNAKE_CASE)}')
  
        if not self.args.yes:
           _lowerCamelCase  :				Tuple      =		input("""Proceed? [Y/n] """).lower()
           if not (choice == "" or choice == "y" or choice == "yes"):
              print("""Abort""")
              exit()
        try:
           _lowerCamelCase  :				int      =		create_repo(SCREAMING_SNAKE_CASE			,      name=self.args.name			,      organization=self.args.organization)
        except HTTPError as e:
           print(SCREAMING_SNAKE_CASE)
           print(ANSI.red(e.response.text))
           exit(1)
        print("""\nYour repo now lives at:""")
        print(F'  {ANSI.bold(SCREAMING_SNAKE_CASE)}')
        print("""\nYou can clone it locally with the command below, and commit/push as usual.""")
        print(F'\n  git clone {url}')
        print("""""")
  
  