




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


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

snake_case_ : Union[str, Any]    		=       {"tokenizer_file": "tokenizer.json"}

snake_case_ : Tuple    		=       {
    "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			(			a		):
   UpperCAmelCase__  :    Any          =  VOCAB_FILES_NAMES
   UpperCAmelCase__  :    Union[str, Any]          =  PRETRAINED_VOCAB_FILES_MAP
   UpperCAmelCase__  :    Tuple          =  ['''input_ids''', '''attention_mask''']
   UpperCAmelCase__  :    List[str]          =  None







   def __init__(      self		:						int					,						_snake_case		:						List[Any]=None					,						_snake_case		:						Dict=None					,						_snake_case		:						str=None					,						_snake_case		:						int="<unk>"					,						_snake_case		:						Dict="<s>"					,						_snake_case		:						List[str]="</s>"					,						_snake_case		:						List[str]="<pad>"					,						_snake_case		:						Optional[Any]=False					,						_snake_case		:						int=False					,						**_snake_case		:						Dict					,						):

        """simple docstring"""


        super().__init__(
            _snake_case					,						_snake_case					,						tokenizer_file=_snake_case					,						unk_token=_snake_case					,						bos_token=_snake_case					,						eos_token=_snake_case					,						pad_token=_snake_case					,						add_prefix_space=_snake_case					,						clean_up_tokenization_spaces=_snake_case					,						**_snake_case					,						)
        UpperCAmelCase_          =							json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__())
        if pre_tok_state.get('''add_prefix_space'''					,						_snake_case) != add_prefix_space:
             UpperCAmelCase_          =							getattr(_snake_case					,						pre_tok_state.pop('''type'''))
             UpperCAmelCase_          =							add_prefix_space
             UpperCAmelCase_          =							pre_tok_class(**_snake_case)

        UpperCAmelCase_          =							add_prefix_space







   def lowerCamelCase						(      self		:						Optional[Any]					,						*_snake_case		:						Optional[int]					,						**_snake_case		:						Tuple):

        """simple docstring"""


        UpperCAmelCase_          =							kwargs.get('''is_split_into_words'''					,						_snake_case)
        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(*_snake_case					,						**_snake_case)







   def lowerCamelCase						(      self		:						int					,						*_snake_case		:						str					,						**_snake_case		:						int):

        """simple docstring"""


        UpperCAmelCase_          =							kwargs.get('''is_split_into_words'''					,						_snake_case)

        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(*_snake_case					,						**_snake_case)







   def lowerCamelCase						(      self		:						Tuple					,						_snake_case		:						str					,						_snake_case		:						Optional[str] = None):

        """simple docstring"""


        UpperCAmelCase_          =							self._tokenizer.model.save(_snake_case					,						name=_snake_case)
        return tuple(_snake_case)







   def lowerCamelCase						(      self		:						Optional[Any]					,						_snake_case		:						"Conversation"):

        """simple docstring"""


        UpperCAmelCase_          =							[]
        for is_user, text in conversation.iter_texts():
             input_ids.extend(self.encode(_snake_case					,						add_special_tokens=_snake_case) + [self.eos_token_id])

        if len(_snake_case) > self.model_max_length:
             UpperCAmelCase_          =							input_ids[-self.model_max_length :]
        return input_ids












def    A						(__A   :    list   ,				__A   :    int   ,				__A   :    int = 0   ,				__A   :    int = 0       )   ->      int:







     """simple docstring"""


     UpperCAmelCase_          =							right or len(__A       ) - 1
     if left > right:
          return -1
     elif list_data[left] == key:
          return left
     elif list_data[right] == key:
          return right
     else:
          return search(__A   ,				__A   ,				left + 1   ,				right - 1       )


if __name__ == "__main__":
    import doctest

    doctest.testmod()






