code: 
  
  
  '''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 						__lowerCAmelCase		(lowercase_  ):
  
  
  
  
  
        '''simple docstring'''
  
  
  
  
  
  
        @staticmethod
        def    UpperCamelCase__	(UpperCamelCase					:					ArgumentParser				):
  
               '''simple docstring'''
  
  
  
  
  
  
  
               lowercase__       =				parser.add_parser('''login'''     ,		help='''Log in using the same credentials as on huggingface.co'''				)
               login_parser.set_defaults(func=lambda UpperCamelCase				: LoginCommand(UpperCamelCase				)				)
               lowercase__       =				parser.add_parser('''whoami'''     ,		help='''Find out which huggingface.co account you are logged in as.'''				)
               whoami_parser.set_defaults(func=lambda UpperCamelCase				: WhoamiCommand(UpperCamelCase				)				)
               lowercase__       =				parser.add_parser('''logout'''     ,		help='''Log out'''				)
               logout_parser.set_defaults(func=lambda UpperCamelCase				: LogoutCommand(UpperCamelCase				)				)
  
               # new system: git-based repo system
               lowercase__       =				parser.add_parser(
                   '''repo'''     ,		help='''Deprecated: use `huggingface-cli` instead. Commands to interact with your huggingface.co repos.'''     ,		)
               lowercase__       =				repo_parser.add_subparsers(
                   help='''Deprecated: use `huggingface-cli` instead. huggingface.co repos related commands'''				)
               lowercase__       =				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=UpperCamelCase     ,		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=UpperCamelCase     ,		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 UpperCamelCase				: RepoCreateCommand(UpperCamelCase				)				)
  
  
  
  
  
  
  class 						__lowerCAmelCase		:
  
  
  
  
  
        '''simple docstring'''
  
  
  
  
  
  
        lowerCAmelCase__      :  int						      =							"""\u001b[1m"""
        lowerCAmelCase__      :  Any						      =							"""\u001b[31m"""
        lowerCAmelCase__      :  Optional[int]						      =							"""\u001b[90m"""
        lowerCAmelCase__      :  Any						      =							"""\u001b[0m"""
  
  
  
        @classmethod
        def    UpperCamelCase__	(cls					:					List[str]     ,		UpperCamelCase					:					Tuple				):
  
               '''simple docstring'''
  
  
  
  
  
  
  
               return f"{cls._bold}{s}{cls._reset}"
  
  
  
        @classmethod
        def    UpperCamelCase__	(cls					:					Any     ,		UpperCamelCase					:					str				):
  
               '''simple docstring'''
  
  
  
  
  
  
  
               return f"{cls._bold}{cls._red}{s}{cls._reset}"
  
  
  
  
  
  
        @classmethod
        def    UpperCamelCase__	(cls					:					List[str]     ,		UpperCamelCase					:					int				):
  
               '''simple docstring'''
  
  
  
  
  
  
  
               return f"{cls._gray}{s}{cls._reset}"
  
  
  
  
  
  
  def _SCREAMING_SNAKE_CASE   (A						,				A ) -> str:
  
  
  
  
  
  
         """simple docstring"""
  
  
  
  
  
  
  
         lowercase__       =				[max(len(str(A ) ) for x in col ) for col in zip(*A						,				A )]
         lowercase__       =				('''{{:{}}} ''' * len(A )).format(*A )
         lowercase__       =				[]
         lines.append(row_format.format(*A ) )
         lines.append(row_format.format(*['''-''' * w for w in col_widths] ) )
         for row in rows:
                lines.append(row_format.format(*A ) )
         return "\n".join(A )
  class 						__lowerCAmelCase		:
  
  
  
  
  
        '''simple docstring'''
  
  
  
  
  
  
        def __init__(self					:					int     ,		UpperCamelCase					:					Union[str, Any]				):
  
               '''simple docstring'''
  
  
  
  
  
  
  
               lowercase__       =				args
  
  
  
  
  
  
  class 						__lowerCAmelCase		(lowercase_  ):
  
  
  
  
  
        '''simple docstring'''
  
  
  
  
  
  
        def    UpperCamelCase__	(self					:					int				):
  
               '''simple docstring'''
  
  
  
  
  
  
  
               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 						__lowerCAmelCase		(lowercase_  ):
  
  
  
  
  
        '''simple docstring'''
  
  
  
  
  
  
        def    UpperCamelCase__	(self					:					Any				):
  
               '''simple docstring'''
  
  
  
  
  
  
  
               print(
                   ANSI.red(
                       '''WARNING! `transformers-cli whoami` is deprecated and will be removed in v5. Please use '''
                       '''`huggingface-cli whoami` instead.'''				)				)
               lowercase__       =				HfFolder.get_token()
               if token is None:
                      print('''Not logged in'''				)
                      exit()
               try:
                      lowercase__    ,lowercase__       =				whoami(UpperCamelCase				)
                      print(UpperCamelCase				)
                      if orgs:
                             print(ANSI.bold('''orgs: '''				)     ,		''','''.join(UpperCamelCase				)				)
               except HTTPError as e:
                      print(UpperCamelCase				)
                      print(ANSI.red(e.response.text				)				)
                      exit(1				)
  
  
  
  
  
  
  class 						__lowerCAmelCase		(lowercase_  ):
  
  
  
  
  
        '''simple docstring'''
  
  
  
  
  
  
        def    UpperCamelCase__	(self					:					List[Any]				):
  
               '''simple docstring'''
  
  
  
  
  
  
  
               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 						__lowerCAmelCase		(lowercase_  ):
  
  
  
  
  
        '''simple docstring'''
  
  
  
  
  
  
        def    UpperCamelCase__	(self					:					Union[str, Any]				):
  
               '''simple docstring'''
  
  
  
  
  
  
  
               print(
                   ANSI.red(
                       '''WARNING! Managing repositories through transformers-cli is deprecated. '''
                       '''Please use `huggingface-cli` instead.'''				)				)
               lowercase__       =				HfFolder.get_token()
               if token is None:
                      print('''Not logged in'''				)
                      exit(1				)
               try:
                      lowercase__       =				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:
                      lowercase__       =				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(''''''				)
  
               lowercase__    ,lowercase__       =				whoami(UpperCamelCase				)
               lowercase__       =				self.args.organization if self.args.organization is not None else user
               lowercase__       =				f"{namespace}/{self.args.name}"
               print(f"You are about to create {ANSI.bold(UpperCamelCase				)}"				)
  
               if not self.args.yes:
                      lowercase__       =				input('''Proceed? [Y/n] '''				).lower()
                      if not (choice == "" or choice == "y" or choice == "yes"):
                             print('''Abort'''				)
                             exit()
               try:
                      lowercase__       =				create_repo(UpperCamelCase     ,		name=self.args.name     ,		organization=self.args.organization				)
               except HTTPError as e:
                      print(UpperCamelCase				)
                      print(ANSI.red(e.response.text				)				)
                      exit(1				)
               print('''\nYour repo now lives at:'''				)
               print(f"  {ANSI.bold(UpperCamelCase				)}"				)
               print('''\nYou can clone it locally with the command below, and commit/push as usual.'''				)
               print(f"\n  git clone {url}"				)
               print(''''''				)
  
  
  
  
  
style_context: 
  
  
  '''simple docstring'''
  
  import argparse
  import collections
  from pathlib import Path
  
  import torch
  from torch.serialization import default_restore_location
  
  from transformers import BertConfig, DPRConfig, DPRContextEncoder, DPRQuestionEncoder, DPRReader
  
  
  lowerCamelCase							:     List[str]								=			collections.namedtuple(
      'CheckpointState', ['model_dict', 'optimizer_dict', 'scheduler_dict', 'offset', 'epoch', 'encoder_params']
  )
  
  def _SCREAMING_SNAKE_CASE   (A ) -> CheckpointState:
  
  
  
  
  
  
         """simple docstring"""
  
  
  
  
  
  
  
         print(f"Reading saved model from {model_file}" )
         lowercase__       =				torch.load(A						,				map_location=lambda A						,				A : default_restore_location(A						,				'''cpu''' ) )
         return CheckpointState(**A )
  class 						__lowerCAmelCase		:
  
  
  
  
  
        '''simple docstring'''
  
  
  
  
  
  
        def __init__(self					:					Any     ,		UpperCamelCase					:					Path				):
  
               '''simple docstring'''
  
  
  
  
  
  
  
               lowercase__       =				src_file
  
  
  
        def    UpperCamelCase__	(self					:					List[str]				):
  
               '''simple docstring'''
  
  
  
  
  
  
  
               raise NotImplementedError
  
  
  
  
  
  
        @staticmethod
        def    UpperCamelCase__	(UpperCamelCase					:					str     ,		*UpperCamelCase					:					Dict     ,		**UpperCamelCase					:					int				):
  
               '''simple docstring'''
  
  
  
  
  
  
  
               if comp_type.startswith('''c'''				):
                      return DPRContextEncoderState(*UpperCamelCase     ,		**UpperCamelCase				)
               if comp_type.startswith('''q'''				):
                      return DPRQuestionEncoderState(*UpperCamelCase     ,		**UpperCamelCase				)
               if comp_type.startswith('''r'''				):
                      return DPRReaderState(*UpperCamelCase     ,		**UpperCamelCase				)
               else:
                      raise ValueError('''Component type must be either \'ctx_encoder\', \'question_encoder\' or \'reader\'.'''				)
  
  
  
  
  
  
  class 						__lowerCAmelCase		(lowercase_  ):
  
  
  
  
  
        '''simple docstring'''
  
  
  
  
  
  
        def    UpperCamelCase__	(self					:					Any				):
  
               '''simple docstring'''
  
  
  
  
  
  
  
               lowercase__       =				DPRContextEncoder(DPRConfig(**BertConfig.get_config_dict('''bert-base-uncased'''				)[0]				)				)
               print(f"Loading DPR biencoder from {self.src_file}"				)
               lowercase__       =				load_states_from_checkpoint(self.src_file				)
               lowercase__    ,lowercase__       =				model.ctx_encoder, '''ctx_model.'''
               # Fix changes from https://github.com/huggingface/transformers/commit/614fef1691edb806de976756d4948ecbcd0c0ca3
               lowercase__       =				{'''bert_model.embeddings.position_ids''': model.ctx_encoder.bert_model.embeddings.position_ids}
               for key, value in saved_state.model_dict.items():
                      if key.startswith(UpperCamelCase				):
                             lowercase__       =				key[len(UpperCamelCase				) :]
                             if not key.startswith('''encode_proj.'''				):
                                    lowercase__       =				'''bert_model.''' + key
                             lowercase__       =				value
               encoder.load_state_dict(UpperCamelCase				)
               return model
  
  
  
  
  
  
  class 						__lowerCAmelCase		(lowercase_  ):
  
  
  
  
  
        '''simple docstring'''
  
  
  
  
  
  
        def    UpperCamelCase__	(self					:					Union[str, Any]				):
  
               '''simple docstring'''
  
  
  
  
  
  
  
               lowercase__       =				DPRQuestionEncoder(DPRConfig(**BertConfig.get_config_dict('''bert-base-uncased'''				)[0]				)				)
               print(f"Loading DPR biencoder from {self.src_file}"				)
               lowercase__       =				load_states_from_checkpoint(self.src_file				)
               lowercase__    ,lowercase__       =				model.question_encoder, '''question_model.'''
               # Fix changes from https://github.com/huggingface/transformers/commit/614fef1691edb806de976756d4948ecbcd0c0ca3
               lowercase__       =				{'''bert_model.embeddings.position_ids''': model.question_encoder.bert_model.embeddings.position_ids}
               for key, value in saved_state.model_dict.items():
                      if key.startswith(UpperCamelCase				):
                             lowercase__       =				key[len(UpperCamelCase				) :]
                             if not key.startswith('''encode_proj.'''				):
                                    lowercase__       =				'''bert_model.''' + key
                             lowercase__       =				value
               encoder.load_state_dict(UpperCamelCase				)
               return model
  
  
  
  
  
  
  class 						__lowerCAmelCase		(lowercase_  ):
  
  
  
  
  
        '''simple docstring'''
  
  
  
  
  
  
        def    UpperCamelCase__	(self					:					Optional[Any]				):
  
               '''simple docstring'''
  
  
  
  
  
  
  
               lowercase__       =				DPRReader(DPRConfig(**BertConfig.get_config_dict('''bert-base-uncased'''				)[0]				)				)
               print(f"Loading DPR reader from {self.src_file}"				)
               lowercase__       =				load_states_from_checkpoint(self.src_file				)
               # Fix changes from https://github.com/huggingface/transformers/commit/614fef1691edb806de976756d4948ecbcd0c0ca3
               lowercase__       =				{
                   '''encoder.bert_model.embeddings.position_ids''': model.span_predictor.encoder.bert_model.embeddings.position_ids
               }
               for key, value in saved_state.model_dict.items():
                      if key.startswith('''encoder.'''				) and not key.startswith('''encoder.encode_proj'''				):
                             lowercase__       =				'''encoder.bert_model.''' + key[len('''encoder.'''				) :]
                      lowercase__       =				value
               model.span_predictor.load_state_dict(UpperCamelCase				)
               return model
  
  
  
  
  
  
  def _SCREAMING_SNAKE_CASE   (A						,				A						,				A ) -> Optional[Any]:
  
  
  
  
  
  
         """simple docstring"""
  
  
  
  
  
  
  
         lowercase__       =				Path(A )
         dest_dir.mkdir(exist_ok=A )
  
         lowercase__       =				DPRState.from_type(A						,				src_file=A )
         lowercase__       =				dpr_state.load_dpr_model()
         model.save_pretrained(A )
         model.from_pretrained(A )  # sanity check
  
  
  if __name__ == "__main__":
   lowerCamelCase							:     List[Any]								=			argparse.ArgumentParser()
   # Required parameters
   parser.add_argument(
       '--type', type=str, help='Type of the component to convert: \'ctx_encoder\', \'question_encoder\' or \'reader\'.'
   )
   parser.add_argument(
       '--src',
       type=str,
       help=(
           'Path to the dpr checkpoint file. They can be downloaded from the official DPR repo'
           ' https://github.com/facebookresearch/DPR. Note that in the official repo, both encoders are stored in the'
           ' \'retriever\' checkpoints.'
       ),
   )
   parser.add_argument('--dest', type=str, default=None, help='Path to the output PyTorch model directory.')
   lowerCamelCase							:     Optional[int]								=			parser.parse_args()
  
   lowerCamelCase							:     List[str]								=			Path(args.src)
   lowerCamelCase							:     List[Any]								=			f"""converted-{src_file.name}""" if args.dest is None else args.dest
   lowerCamelCase							:     Optional[int]								=			Path(dest_dir)
   assert src_file.exists()
   assert (
       args.type is not None
   ), "Please specify the component type of the DPR model to convert: 'ctx_encoder', 'question_encoder' or 'reader'."
   convert(args.type, src_file, dest_dir)
  
  
  
  
  