






"""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


UpperCAmelCase_   : Dict   			= logging.get_logger(__name__)

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

UpperCAmelCase_   : 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 							lowerCAmelCase__				(			UpperCAmelCase__ ):






      '''simple docstring'''

      __UpperCamelCase	 =  VOCAB_FILES_NAMES
      __UpperCamelCase	 =  PRETRAINED_VOCAB_FILES_MAP
      __UpperCamelCase	 =  ["input_ids", "attention_mask"]
      __UpperCamelCase	 =  None
      def __init__(						self     :  Optional[Any]						,	lowercase_     :  Optional[Any]=None						,	lowercase_     :  List[Any]=None						,	lowercase_     :  Union[str, Any]=None						,	lowercase_     :  Any="<unk>"						,	lowercase_     :  Any="<s>"						,	lowercase_     :  int="</s>"						,	lowercase_     :  str="<pad>"						,	lowercase_     :  Optional[Any]=False						,	lowercase_     :  Optional[Any]=False						,	**lowercase_     :  Optional[Any]						,	):




          '''simple docstring'''


          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_						,	)
          SCREAMING_SNAKE_CASE_      :  List[Any]    						=		json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__())
          if pre_tok_state.get('''add_prefix_space'''						,	lowercase_) != add_prefix_space:
              SCREAMING_SNAKE_CASE_      :  int    						=		getattr(lowercase_						,	pre_tok_state.pop('''type'''))
              SCREAMING_SNAKE_CASE_      :  int    						=		add_prefix_space
              SCREAMING_SNAKE_CASE_      :  Any    						=		pre_tok_class(**lowercase_)

          SCREAMING_SNAKE_CASE_      :  List[str]    						=		add_prefix_space
      def _SCREAMING_SNAKE_CASE (						self     :  List[Any]						,	*lowercase_     :  List[Any]						,	**lowercase_     :  Dict):




          '''simple docstring'''


          SCREAMING_SNAKE_CASE_      :  Optional[Any]    						=		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 _SCREAMING_SNAKE_CASE (						self     :  Union[str, Any]						,	*lowercase_     :  int						,	**lowercase_     :  List[str]):




          '''simple docstring'''


          SCREAMING_SNAKE_CASE_      :  List[Any]    						=		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 _SCREAMING_SNAKE_CASE (						self     :  Tuple						,	lowercase_     :  str						,	lowercase_     :  Optional[str] = None):




          '''simple docstring'''


          SCREAMING_SNAKE_CASE_      :  List[str]    						=		self._tokenizer.model.save(lowercase_						,	name=lowercase_)
          return tuple(lowercase_)



      def _SCREAMING_SNAKE_CASE (						self     :  List[Any]						,	lowercase_     :  "Conversation"):




          '''simple docstring'''


          SCREAMING_SNAKE_CASE_      :  Dict    						=		[]
          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:
              SCREAMING_SNAKE_CASE_      :  Union[str, Any]    						=		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_)


