






"""simple docstring"""



import json
from typing import List, Optional, Tuple

from tokenizers import normalizers
from tokenizers.pre_tokenizers import BertPreTokenizer, PreTokenizer

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_roformer import RoFormerTokenizer
from .tokenization_utils import JiebaPreTokenizer


A__	:    Optional[int]			 = logging.get_logger(__name__)

A__	:    Optional[int]			 = {'vocab_file': 'vocab.txt', 'tokenizer_file': 'tokenizer.json'}

A__	:    Tuple			 = {
    'vocab_file': {
        'junnyu/roformer_chinese_small': 'https://huggingface.co/junnyu/roformer_chinese_small/resolve/main/vocab.txt',
        'junnyu/roformer_chinese_base': 'https://huggingface.co/junnyu/roformer_chinese_base/resolve/main/vocab.txt',
        'junnyu/roformer_chinese_char_small': (
            'https://huggingface.co/junnyu/roformer_chinese_char_small/resolve/main/vocab.txt'
        ),
        'junnyu/roformer_chinese_char_base': (
            'https://huggingface.co/junnyu/roformer_chinese_char_base/resolve/main/vocab.txt'
        ),
        'junnyu/roformer_small_discriminator': (
            'https://huggingface.co/junnyu/roformer_small_discriminator/resolve/main/vocab.txt'
        ),
        'junnyu/roformer_small_generator': (
            'https://huggingface.co/junnyu/roformer_small_generator/resolve/main/vocab.txt'
        ),
    }
}

A__	:    Tuple			 = {
    'junnyu/roformer_chinese_small': 1_536,
    'junnyu/roformer_chinese_base': 1_536,
    'junnyu/roformer_chinese_char_small': 512,
    'junnyu/roformer_chinese_char_base': 512,
    'junnyu/roformer_small_discriminator': 128,
    'junnyu/roformer_small_generator': 128,
}


A__	:    List[str]			 = {
    'junnyu/roformer_chinese_small': {'do_lower_case': True},
    'junnyu/roformer_chinese_base': {'do_lower_case': True},
    'junnyu/roformer_chinese_char_small': {'do_lower_case': True},
    'junnyu/roformer_chinese_char_base': {'do_lower_case': True},
    'junnyu/roformer_small_discriminator': {'do_lower_case': True},
    'junnyu/roformer_small_generator': {'do_lower_case': True},
}







class        lowercase__      (							snake_case__       ):
   _UpperCAmelCase		:Optional[int]             =			VOCAB_FILES_NAMES
   _UpperCAmelCase		:Dict             =			PRETRAINED_VOCAB_FILES_MAP
   _UpperCAmelCase		:List[str]             =			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   _UpperCAmelCase		:Union[str, Any]             =			PRETRAINED_INIT_CONFIGURATION
   _UpperCAmelCase		:List[Any]             =			RoFormerTokenizer


   def __init__(				self					:  Union[str, Any]       ,	snake_case__					:  int=None       ,	snake_case__					:  int=None       ,	snake_case__					:  Dict=True       ,	snake_case__					:  str="[UNK]"       ,	snake_case__					:  str="[SEP]"       ,	snake_case__					:  Tuple="[PAD]"       ,	snake_case__					:  Optional[int]="[CLS]"       ,	snake_case__					:  List[Any]="[MASK]"       ,	snake_case__					:  Union[str, Any]=True       ,	snake_case__					:  str=None       ,	**snake_case__					:  List[str]       ,	):
          super().__init__(
              snake_case__       ,	tokenizer_file=snake_case__       ,	do_lower_case=snake_case__       ,	unk_token=snake_case__       ,	sep_token=snake_case__       ,	pad_token=snake_case__       ,	cls_token=snake_case__       ,	mask_token=snake_case__       ,	tokenize_chinese_chars=snake_case__       ,	strip_accents=snake_case__       ,	**snake_case__       ,	)

          lowerCamelCase_	:							List[Any]									=json.loads(self.backend_tokenizer.normalizer.__getstate__() )
          if (
              pre_tok_state.get("lowercase"       ,	snake_case__ ) != do_lower_case
              or pre_tok_state.get("strip_accents"       ,	snake_case__ ) != strip_accents
          ):
                 lowerCamelCase_	:							List[Any]									=getattr(snake_case__       ,	pre_tok_state.pop("type" ) )
                 lowerCamelCase_	:							List[str]									=do_lower_case
                 lowerCamelCase_	:							List[str]									=strip_accents
                 lowerCamelCase_	:							List[str]									=pre_tok_class(**snake_case__ )

          lowerCamelCase_	:							Tuple									=do_lower_case


   def __getstate__(				self					:  List[str] ):
          lowerCamelCase_	:							Tuple									=self.__dict__.copy()
          lowerCamelCase_	:							List[str]									=BertPreTokenizer()
          return state


   def __setstate__(				self					:  str       ,	snake_case__					:  Union[str, Any] ):
          lowerCamelCase_	:							List[str]									=d
          lowerCamelCase_	:							Optional[int]									=self.__dict__["_tokenizer"].get_vocab()
          lowerCamelCase_	:							Optional[Any]									=PreTokenizer.custom(JiebaPreTokenizer(snake_case__ ) )


   def      UpperCAmelCase__						(				self					:  Any       ,	snake_case__					:  Union[str, Any]       ,	snake_case__					:  List[str]=None ):
          lowerCamelCase_	:							Dict									=[self.cls_token_id] + token_ids_a + [self.sep_token_id]

          if token_ids_a:
                 output += token_ids_a + [self.sep_token_id]

          return output


   def      UpperCAmelCase__						(				self					:  List[str]       ,	snake_case__					:  List[int]       ,	snake_case__					:  Optional[List[int]] = None ):
          lowerCamelCase_	:							Dict									=[self.sep_token_id]
          lowerCamelCase_	:							Any									=[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      UpperCAmelCase__						(				self					:  Optional[int]       ,	snake_case__					:  str       ,	snake_case__					:  Optional[str] = None ):
          lowerCamelCase_	:							int									=self._tokenizer.model.save(snake_case__       ,	name=snake_case__ )
          return tuple(snake_case__ )


   def      UpperCAmelCase__						(				self					:  Tuple       ,	snake_case__					:  int       ,	snake_case__					:  List[str]=None       ,	snake_case__					:  Tuple=None       ,	snake_case__					:  str=False       ,	**snake_case__					:  int       ,	):
          lowerCamelCase_	:							str									=BertPreTokenizer()
          return super().save_pretrained(snake_case__       ,	snake_case__       ,	snake_case__       ,	snake_case__       ,	**snake_case__ )











"""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.

from argparse import ArgumentParser

from accelerate.commands.config import get_config_parser
from accelerate.commands.env import env_command_parser
from accelerate.commands.launch import launch_command_parser
from accelerate.commands.test import test_command_parser
from accelerate.commands.tpu import tpu_command_parser

def 			_snake_case    (					)    ->     Tuple:
							lowerCamelCase_	:							Optional[int]									=ArgumentParser("Accelerate CLI tool"    ,						usage="accelerate <command> [<args>]"    ,						allow_abbrev=lowerCamelCase__  )
							lowerCamelCase_	:							Optional[int]									=parser.add_subparsers(help="accelerate command helpers"  )

							# Register commands
							get_config_parser(subparsers=lowerCamelCase__  )
							env_command_parser(subparsers=lowerCamelCase__  )
							launch_command_parser(subparsers=lowerCamelCase__  )
							tpu_command_parser(subparsers=lowerCamelCase__  )
							test_command_parser(subparsers=lowerCamelCase__  )

							# Let's go
							lowerCamelCase_	:							int									=parser.parse_args()

							if not hasattr(lowerCamelCase__    ,						"func"  ):
														parser.print_help()
														exit(1  )

							# Run
							args.func(lowerCamelCase__  )


if __name__ == "__main__":
						main()



