





'''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_barthez import BarthezTokenizer
else:
 lowerCAmelCase					:     Tuple												=None

lowerCAmelCase					:     List[Any]												=logging.get_logger(__name__)

lowerCAmelCase					:     Any												={'''vocab_file''': '''sentencepiece.bpe.model''', '''tokenizer_file''': '''tokenizer.json'''}

lowerCAmelCase					:     Dict												={
    '''vocab_file''': {
        '''moussaKam/mbarthez''': '''https://huggingface.co/moussaKam/mbarthez/resolve/main/sentencepiece.bpe.model''',
        '''moussaKam/barthez''': '''https://huggingface.co/moussaKam/barthez/resolve/main/sentencepiece.bpe.model''',
        '''moussaKam/barthez-orangesum-title''': (
            '''https://huggingface.co/moussaKam/barthez-orangesum-title/resolve/main/sentencepiece.bpe.model'''
        ),
    },
    '''tokenizer_file''': {
        '''moussaKam/mbarthez''': '''https://huggingface.co/moussaKam/mbarthez/resolve/main/tokenizer.json''',
        '''moussaKam/barthez''': '''https://huggingface.co/moussaKam/barthez/resolve/main/tokenizer.json''',
        '''moussaKam/barthez-orangesum-title''': (
            '''https://huggingface.co/moussaKam/barthez-orangesum-title/resolve/main/tokenizer.json'''
        ),
    },
}

lowerCAmelCase					:     Tuple												={
    '''moussaKam/mbarthez''': 1_024,
    '''moussaKam/barthez''': 1_024,
    '''moussaKam/barthez-orangesum-title''': 1_024,
}

lowerCAmelCase					:     Tuple												='''▁'''
class       a_   (				_lowerCAmelCase							):
     __A      =			VOCAB_FILES_NAMES
     __A      =			PRETRAINED_VOCAB_FILES_MAP
     __A      =			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     __A      =			["input_ids", "attention_mask"]
     __A      =			BarthezTokenizer





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





        """simple docstring"""




        lowercase_			:str    			= AddedToken(lowercase	,      lstrip=lowercase	,      rstrip=lowercase						) if isinstance(lowercase	,      lowercase						) else mask_token

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

        lowercase_			:Union[str, Any]    			= vocab_file
        lowercase_			:Optional[Any]    			= False if not self.vocab_file else True





     def 							lowercase__      ( self		:					Union[str, Any]	,      lowercase		:					List[int]	,      lowercase		:					Optional[List[int]] = None						):





        """simple docstring"""




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





     def 							lowercase__      ( self		:					Optional[int]	,      lowercase		:					List[int]	,      lowercase		:					Optional[List[int]] = None						):





        """simple docstring"""




        lowercase_			:Optional[Any]    			= [self.sep_token_id]
        lowercase_			:Tuple    			= [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 							lowercase__      ( self		:					int	,      lowercase		:					str	,      lowercase		:					Optional[str] = None						):





        """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(lowercase						):
           logger.error(F'Vocabulary path ({save_directory}) should be a directory'						)
           return
        lowercase_			:Optional[int]    			= os.path.join(
            lowercase	,      (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]						)

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

        return (out_vocab_file,)









'''simple docstring'''


from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowerCAmelCase					:     Optional[Any]												={
    '''configuration_nllb_moe''': [
        '''NLLB_MOE_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''NllbMoeConfig''',
    ]
}

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 lowerCAmelCase					:     Tuple												=[
     '''NLLB_MOE_PRETRAINED_MODEL_ARCHIVE_LIST''',
     '''NllbMoeForConditionalGeneration''',
     '''NllbMoeModel''',
     '''NllbMoePreTrainedModel''',
     '''NllbMoeTop2Router''',
     '''NllbMoeSparseMLP''',
 ]


if TYPE_CHECKING:
 from .configuration_nllb_moe import (
     NLLB_MOE_PRETRAINED_CONFIG_ARCHIVE_MAP,
     NllbMoeConfig,
 )

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_nllb_moe import (
      NLLB_MOE_PRETRAINED_MODEL_ARCHIVE_LIST,
      NllbMoeForConditionalGeneration,
      NllbMoeModel,
      NllbMoePreTrainedModel,
      NllbMoeSparseMLP,
      NllbMoeTopaRouter,
  )


else:
 import sys

 lowerCAmelCase					:     Tuple												=_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)


