



'''simple docstring'''







import os
from shutil import copyfile
from typing import Optional, Tuple

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
		from .tokenization_reformer import ReformerTokenizer
else:
		_UpperCamelCase  						=			None


_UpperCamelCase  						=			logging.get_logger(__name__)


_UpperCamelCase  						=			"""▁"""

_UpperCamelCase  						=			{"""vocab_file""": """spiece.model""", """tokenizer_file""": """tokenizer.json"""}

_UpperCamelCase  						=			{
    """vocab_file""": {
        """google/reformer-crime-and-punishment""": (
            """https://huggingface.co/google/reformer-crime-and-punishment/resolve/main/spiece.model"""
        )
    },
    """tokenizer_file""": {
        """google/reformer-crime-and-punishment""": (
            """https://huggingface.co/google/reformer-crime-and-punishment/resolve/main/tokenizer.json"""
        )
    },
}

_UpperCamelCase  						=			{
    """google/reformer-crime-and-punishment""": 524288,
}

class      lowerCamelCase__     (     _a				):






	'''simple docstring'''

	A__		=	VOCAB_FILES_NAMES
	A__		=	PRETRAINED_VOCAB_FILES_MAP
	A__		=	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	A__		=	['''input_ids''', '''attention_mask''']
	A__		=	ReformerTokenizer




	def __init__(  self		:  List[str]   ,		__A		:  Optional[Any]=None   ,		__A		:  Any=None   ,		__A		:  Tuple="</s>"   ,		__A		:  Tuple="<unk>"   ,		__A		:  Tuple=[]   ,		**__A		:  List[str]   ,		)     ->			Optional[Any]:




								'''simple docstring'''





								super().__init__(
								    __A   ,		tokenizer_file=__A   ,		eos_token=__A   ,		unk_token=__A   ,		additional_special_tokens=__A   ,		**__A   ,		)

								lowerCAmelCase__  =   vocab_file
								lowerCAmelCase__  =   False if not self.vocab_file else True




	def      lowercase__							(  self		:  List[Any]   ,		__A		:  str   ,		__A		:  Optional[str] = None					)     ->			Dict:




								'''simple docstring'''





								if not self.can_save_slow_tokenizer:
															raise ValueError(
															    """Your fast tokenizer does not have the necessary information to save the vocabulary for a slow """
															    """tokenizer."""					)

								if not os.path.isdir(__A					):
															logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''					)
															return
								lowerCAmelCase__  =   os.path.join(
								    __A   ,		(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]					)

								if os.path.abspath(self.vocab_file					) != os.path.abspath(__A					):
															copyfile(self.vocab_file   ,		__A					)

								return (out_vocab_file,)












# Copyright 2022 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

from pathlib import Path

from .config_args import default_config_file, load_config_from_file
from .config_utils import SubcommandHelpFormatter


__lowercase				    =      """Update an existing config file with the latest defaults while maintaining the old configuration."""


def        __SCREAMING_SNAKE_CASE	(				__lowercase:		Optional[Any]):



  '''simple docstring'''






  __lowerCAmelCase								=					args.config_file
  if config_file is None and Path(__lowercase).exists():
    __lowerCAmelCase								=					default_config_file
  elif not Path(__lowercase).exists():
    raise ValueError(F'''The passed config file located at {config_file} doesn\'t exist.''')
  __lowerCAmelCase								=					load_config_from_file(__lowercase)

  if config_file.endswith('''.json'''):
    config.to_json_file(__lowercase)
  else:
    config.to_yaml_file(__lowercase)
  return config_file


def        __SCREAMING_SNAKE_CASE	(				__lowercase:		Tuple  ,				__lowercase:		int):



  '''simple docstring'''






  __lowerCAmelCase								=					parser.add_parser('''update'''  ,				parents=__lowercase  ,				help=__lowercase  ,				formatter_class=__lowercase)
  parser.add_argument(
      '''--config_file'''  ,				default=__lowercase  ,				help=(
          '''The path to the config file to update. Will default to a file named default_config.yaml in the cache '''
          '''location, which is the content of the environment `HF_HOME` suffixed with \'accelerate\', or if you don\'t have '''
          '''such an environment variable, your cache directory (\'~/.cache\' or the content of `XDG_CACHE_HOME`) suffixed '''
          '''with \'huggingface\'.'''
      )  ,				)

  parser.set_defaults(func=__lowercase)
  return parser




def        __SCREAMING_SNAKE_CASE	(				__lowercase:		Any):



  '''simple docstring'''






  __lowerCAmelCase								=					update_config(__lowercase)
  print(F'''Sucessfully updated the configuration file at {config_file}.''')
