





'''simple docstring'''

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

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


if is_sentencepiece_available():
   from .tokenization_camembert import CamembertTokenizer
else:
   lowercase__						:      int	=    None


lowercase__						:      Any	=    logging.get_logger(__name__)

lowercase__						:      Dict	=    {'vocab_file': 'sentencepiece.bpe.model', 'tokenizer_file': 'tokenizer.json'}

lowercase__						:      Optional[Any]	=    {
    'vocab_file': {
        'camembert-base': 'https://huggingface.co/camembert-base/resolve/main/sentencepiece.bpe.model',
    },
    'tokenizer_file': {
        'camembert-base': 'https://huggingface.co/camembert-base/resolve/main/tokenizer.json',
    },
}

lowercase__						:      List[str]	=    {
    'camembert-base': 5_12,
}

lowercase__						:      Optional[int]	=    '▁'
class     __lowerCAmelCase					(   __magic_name__			):






       """simple docstring"""
       _snake_case     :					Any						    =   VOCAB_FILES_NAMES
       _snake_case     :					Optional[int]						    =   PRETRAINED_VOCAB_FILES_MAP
       _snake_case     :					Optional[int]						    =   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
       _snake_case     :					Tuple						    =   ['input_ids', 'attention_mask']
       _snake_case     :					Union[str, Any]						    =   CamembertTokenizer





       def __init__(							self       :		Any	,			lowerCAmelCase__       :		Dict=None	,			lowerCAmelCase__       :		Tuple=None	,			lowerCAmelCase__       :		Optional[Any]="<s>"	,			lowerCAmelCase__       :		Any="</s>"	,			lowerCAmelCase__       :		Any="</s>"	,			lowerCAmelCase__       :		Optional[int]="<s>"	,			lowerCAmelCase__       :		Union[str, Any]="<unk>"	,			lowerCAmelCase__       :		Optional[int]="<pad>"	,			lowerCAmelCase__       :		int="<mask>"	,			lowerCAmelCase__       :		Optional[int]=["<s>NOTUSED", "</s>NOTUSED"]	,			**lowerCAmelCase__       :		Tuple	,			)   ->					List[Any]:

            '''simple docstring'''




            _UpperCamelCase       =	AddedToken(lowerCAmelCase__	,			lstrip=lowerCAmelCase__	,			rstrip=lowerCAmelCase__					) if isinstance(lowerCAmelCase__	,			lowerCAmelCase__					) else mask_token

            super().__init__(
                lowerCAmelCase__	,			tokenizer_file=lowerCAmelCase__	,			bos_token=lowerCAmelCase__	,			eos_token=lowerCAmelCase__	,			sep_token=lowerCAmelCase__	,			cls_token=lowerCAmelCase__	,			unk_token=lowerCAmelCase__	,			pad_token=lowerCAmelCase__	,			mask_token=lowerCAmelCase__	,			additional_special_tokens=lowerCAmelCase__	,			**lowerCAmelCase__	,			)

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





       def snake_case__						(							self       :		Any	,			lowerCAmelCase__       :		List[int]	,			lowerCAmelCase__       :		Optional[List[int]] = None					)   ->					List[int]:

            '''simple docstring'''




            if token_ids_a is None:
                 return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
            _UpperCamelCase       =	[self.cls_token_id]
            _UpperCamelCase       =	[self.sep_token_id]
            return cls + token_ids_a + sep + sep + token_ids_a + sep





       def snake_case__						(							self       :		List[Any]	,			lowerCAmelCase__       :		List[int]	,			lowerCAmelCase__       :		Optional[List[int]] = None					)   ->					List[int]:

            '''simple docstring'''




            _UpperCamelCase       =	[self.sep_token_id]
            _UpperCamelCase       =	[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 + sep + token_ids_a + sep					) * [0]







       def snake_case__						(							self       :		Tuple	,			lowerCAmelCase__       :		str	,			lowerCAmelCase__       :		Optional[str] = None					)   ->					Tuple[str]:

            '''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(lowerCAmelCase__					):
                 logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""					)
                 return
            _UpperCamelCase       =	os.path.join(
                lowerCAmelCase__	,			(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']					)

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

            return (out_vocab_file,)










'''simple docstring'''

import importlib.metadata
from typing import Union

from packaging.version import Version, parse

from .constants import STR_OPERATION_TO_FUNC


lowercase__						:      List[Any]	=    parse(importlib.metadata.version('torch'))







def  a__    (    lowercase :					Union[str, Version], lowercase :					str, lowercase :					str				)		->		List[str]:





     """simple docstring"""

     if operation not in STR_OPERATION_TO_FUNC.keys():
          raise ValueError(F"""`operation` must be one of {list(STR_OPERATION_TO_FUNC.keys()				)}, received {operation}"""				)
     _UpperCamelCase       =	STR_OPERATION_TO_FUNC[operation]
     if isinstance(lowercase, lowercase				):
          _UpperCamelCase       =	parse(importlib.metadata.version(lowercase				)				)
     return operation(lowercase, parse(lowercase				)				)







def  a__    (    lowercase :					str, lowercase :					str				)		->		List[Any]:





     """simple docstring"""

     return compare_versions(lowercase, lowercase, lowercase				)



