


'''simple docstring'''






from typing import List, Optional, Tuple

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_herbert import HerbertTokenizer


__A :  Optional[Any]    							=				logging.get_logger(__name__)

__A :  Dict    							=				{"vocab_file": "vocab.json", "merges_file": "merges.txt", "tokenizer_file": "tokenizer.json"}

__A :  Optional[int]    							=				{
    "vocab_file": {
        "allegro/herbert-base-cased": "https://huggingface.co/allegro/herbert-base-cased/resolve/main/vocab.json"
    },
    "merges_file": {
        "allegro/herbert-base-cased": "https://huggingface.co/allegro/herbert-base-cased/resolve/main/merges.txt"
    },
}

__A :  Optional[Any]    							=				{"allegro/herbert-base-cased": 514}
__A :  Tuple    							=				{}






class        __snake_case	(       _SCREAMING_SNAKE_CASE):







    """simple docstring"""



    lowercase       			= VOCAB_FILES_NAMES
    lowercase       			= PRETRAINED_VOCAB_FILES_MAP
    lowercase       			= PRETRAINED_INIT_CONFIGURATION
    lowercase       			= PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    lowercase       			= HerbertTokenizer

    def __init__(       self   :  str   ,						lowerCamelCase   :  Tuple=None   ,						lowerCamelCase   :  List[str]=None   ,						lowerCamelCase   :  List[Any]=None   ,						lowerCamelCase   :  Optional[Any]="<s>"   ,						lowerCamelCase   :  Optional[int]="<unk>"   ,						lowerCamelCase   :  List[Any]="<pad>"   ,						lowerCamelCase   :  Dict="<mask>"   ,						lowerCamelCase   :  Optional[int]="</s>"   ,						**lowerCamelCase   :  List[str]   ,						)       ->  Optional[Any]:
      super().__init__(
          lowerCamelCase   ,						lowerCamelCase   ,						tokenizer_file=lowerCamelCase   ,						cls_token=lowerCamelCase   ,						unk_token=lowerCamelCase   ,						pad_token=lowerCamelCase   ,						mask_token=lowerCamelCase   ,						sep_token=lowerCamelCase   ,						**lowerCamelCase   ,						)

    def __lowercase       (       self   :  List[str]   ,						lowerCamelCase   :  List[int]   ,						lowerCamelCase   :  Optional[List[int]] = None		)       ->  List[int]:
      lowerCAmelCase_      :				Union[str, Any]      =       [self.cls_token_id]
      lowerCAmelCase_      :				Dict      =       [self.sep_token_id]
      if token_ids_a is None:
        return cls + token_ids_a + sep

      return cls + token_ids_a + sep + token_ids_a + sep

    def __lowercase       (       self   :  Optional[Any]   ,						lowerCamelCase   :  List[int]   ,						lowerCamelCase   :  Optional[List[int]] = None   ,						lowerCamelCase   :  bool = False		)       ->  List[int]:
      if already_has_special_tokens:
        return super().get_special_tokens_mask(
            token_ids_a=lowerCamelCase   ,						token_ids_a=lowerCamelCase   ,						already_has_special_tokens=lowerCamelCase		)

      if token_ids_a is None:
        return [1] + ([0] * len(lowerCamelCase		)) + [1]
      return [1] + ([0] * len(lowerCamelCase		)) + [1] + ([0] * len(lowerCamelCase		)) + [1]

    def __lowercase       (       self   :  Optional[Any]   ,						lowerCamelCase   :  List[int]   ,						lowerCamelCase   :  Optional[List[int]] = None		)       ->  List[int]:
      lowerCAmelCase_      :				Tuple      =       [self.sep_token_id]
      lowerCAmelCase_      :				Optional[int]      =       [self.cls_token_id]

      if token_ids_a is None:
        return len(cls + token_ids_a + sep		) * [0]
      return len(cls + token_ids_a + sep		) * [0] + len(token_ids_a + sep		) * [1]





    def __lowercase       (       self   :  List[Any]   ,						lowerCamelCase   :  str   ,						lowerCamelCase   :  Optional[str] = None		)       ->  Tuple[str]:
      lowerCAmelCase_      :				Optional[Any]      =       self._tokenizer.model.save(lowerCamelCase   ,						name=lowerCamelCase		)
      return tuple(lowerCamelCase		)







'''simple docstring'''






# Copyright 2021 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.

import argparse
import os

from accelerate.utils import ComputeEnvironment

from .cluster import get_cluster_input
from .config_args import cache_dir, default_config_file, default_yaml_config_file, load_config_from_file  # noqa: F401
from .config_utils import _ask_field, _ask_options, _convert_compute_environment  # noqa: F401
from .sagemaker import get_sagemaker_input


__A :  str    							=				"Launches a series of prompts to create and save a `default_config.yaml` configuration file for your training system. Should always be ran first on your machine"







def     UpperCamelCase_      (   ):
  '''simple docstring'''





  lowerCAmelCase_      :				List[Any]      =       _ask_options(
      """In which compute environment are you running?"""							,   ["""This machine""", """AWS (Amazon SageMaker)"""]							,   _convert_compute_environment							,   )
  if compute_environment == ComputeEnvironment.AMAZON_SAGEMAKER:
    lowerCAmelCase_      :				str      =       get_sagemaker_input()
  else:
    lowerCAmelCase_      :				Optional[int]      =       get_cluster_input()
  return config







def     UpperCamelCase_      (   A__ :       Optional[Any]=None ):
  '''simple docstring'''





  if subparsers is not None:
    lowerCAmelCase_      :				List[str]      =       subparsers.add_parser("""config"""							,   description=A__ )
  else:
    lowerCAmelCase_      :				Optional[int]      =       argparse.ArgumentParser("""Accelerate config command"""							,   description=A__ )

  parser.add_argument(
      """--config_file"""							,   default=A__							,   help=(
          """The path to use to store the config file. 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'."""
      )							,   )

  if subparsers is not None:
    parser.set_defaults(func=A__ )
  return parser







def     UpperCamelCase_      (   A__ :       Any ):
  '''simple docstring'''





  lowerCAmelCase_      :				Dict      =       get_user_input()
  if args.config_file is not None:
    lowerCAmelCase_      :				List[str]      =       args.config_file
  else:
    if not os.path.isdir(A__ ):
      os.makedirs(A__ )
    lowerCAmelCase_      :				List[Any]      =       default_yaml_config_file

  if config_file.endswith(""".json""" ):
    config.to_json_file(A__ )
  else:
    config.to_yaml_file(A__ )
  print(f'accelerate configuration saved at {config_file}' )







def     UpperCamelCase_      (   ):
  '''simple docstring'''





  lowerCAmelCase_      :				str      =       config_command_parser()
  lowerCAmelCase_      :				Tuple      =       parser.parse_args()
  config_command(A__ )


if __name__ == "__main__":
  main()



