"""simple docstring"""



import json
from typing import TYPE_CHECKING, List, Optional, Tuple

from tokenizers import pre_tokenizers

from ...tokenization_utils_base import BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging


if TYPE_CHECKING:
   from transformers.pipelines.conversational import Conversation


SCREAMING_SNAKE_CASE__:Dict		       =       logging.get_logger(__name__)

SCREAMING_SNAKE_CASE__:Optional[Any]		       =       {"""tokenizer_file""": """tokenizer.json"""}

SCREAMING_SNAKE_CASE__:Any		       =       {
    """tokenizer_file""": {
        """bigscience/tokenizer""": """https://huggingface.co/bigscience/tokenizer/blob/main/tokenizer.json""",
        """bigscience/bloom-560m""": """https://huggingface.co/bigscience/bloom-560m/blob/main/tokenizer.json""",
        """bigscience/bloom-1b1""": """https://huggingface.co/bigscience/bloom-1b1/blob/main/tokenizer.json""",
        """bigscience/bloom-1b7""": """https://huggingface.co/bigscience/bloom-1b7/blob/main/tokenizer.json""",
        """bigscience/bloom-3b""": """https://huggingface.co/bigscience/bloom-3b/blob/main/tokenizer.json""",
        """bigscience/bloom-7b1""": """https://huggingface.co/bigscience/bloom-7b1/blob/main/tokenizer.json""",
        """bigscience/bloom""": """https://huggingface.co/bigscience/bloom/blob/main/tokenizer.json""",
    },
}






class       snake_case__	(    UpperCAmelCase__    ):
 _snake_case    : Any				   =		VOCAB_FILES_NAMES
 _snake_case    : Union[str, Any]				   =		PRETRAINED_VOCAB_FILES_MAP
 _snake_case    : List[str]				   =		["""input_ids""", """attention_mask"""]
 _snake_case    : str				   =		None


 def __init__(      self  ,						lowerCamelCase=None  ,						lowerCamelCase=None  ,						lowerCamelCase=None  ,						lowerCamelCase="<unk>"  ,						lowerCamelCase="<s>"  ,						lowerCamelCase="</s>"  ,						lowerCamelCase="<pad>"  ,						lowerCamelCase=False  ,						lowerCamelCase=False  ,						**lowerCamelCase  ,						):
        super().__init__(
            lowercase_  ,						lowercase_  ,						tokenizer_file=lowercase_  ,						unk_token=lowercase_  ,						bos_token=lowercase_  ,						eos_token=lowercase_  ,						pad_token=lowercase_  ,						add_prefix_space=lowercase_  ,						clean_up_tokenization_spaces=lowercase_  ,						**lowercase_  ,						)
        __a	      =  json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()		)
        if pre_tok_state.get("add_prefix_space"  ,						lowercase_		) != add_prefix_space:
               __a	      =  getattr(lowercase_  ,						pre_tok_state.pop("type"		)		)
               __a	      =  add_prefix_space
               __a	      =  pre_tok_class(**lowercase_		)

        __a	      =  add_prefix_space


 def 		a__					(      self  ,						*lowerCamelCase  ,						**lowerCamelCase		):
        __a	      =  kwargs.get("is_split_into_words"  ,						lowercase_		)
        if not (self.add_prefix_space or not is_split_into_words):
               raise Exception(
                   F"You need to instantiate {self.__class__.__name__} with add_prefix_space=True to use it with"
                   " pretokenized inputs."		)

        return super()._batch_encode_plus(*lowercase_  ,						**lowercase_		)


 def 		a__					(      self  ,						*lowerCamelCase  ,						**lowerCamelCase		):
        __a	      =  kwargs.get("is_split_into_words"  ,						lowercase_		)

        if not (self.add_prefix_space or not is_split_into_words):
               raise Exception(
                   F"You need to instantiate {self.__class__.__name__} with add_prefix_space=True to use it with"
                   " pretokenized inputs."		)

        return super()._encode_plus(*lowercase_  ,						**lowercase_		)


 def 		a__					(      self  ,						lowerCamelCase  ,						lowerCamelCase = None		):
        __a	      =  self._tokenizer.model.save(lowercase_  ,						name=lowercase_		)
        return tuple(lowercase_		)






 def 		a__					(      self  ,						lowerCamelCase		):
        __a	      =  []
        for is_user, text in conversation.iter_texts():
               input_ids.extend(self.encode(lowercase_  ,						add_special_tokens=lowercase_		) + [self.eos_token_id]		)

        if len(lowercase_		) > self.model_max_length:
               __a	      =  input_ids[-self.model_max_length :]
        return input_ids








"""simple docstring"""






import warnings

from ...utils import logging
from .image_processing_deit import DeiTImageProcessor


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




class 							lowerCAmelCase__				(			UpperCAmelCase__ ):






      '''simple docstring'''

      def __init__(						self     :  List[str]						,	*lowercase_     :  Dict						,	**lowercase_     :  Union[str, Any]):




          '''simple docstring'''


          warnings.warn(
              '''The class DeiTFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please'''
              ''' use DeiTImageProcessor instead.'''						,	lowercase_						,	)
          super().__init__(*lowercase_						,	**lowercase_)


