




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


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

_lowerCamelCase     :		str								=       {"""tokenizer_file""": """tokenizer.json"""}

_lowerCamelCase     :		Optional[int]								=       {
    """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     UpperCamelCase_   (			_a					):

    '''simple docstring'''






    UpperCAmelCase__							  =				VOCAB_FILES_NAMES
    UpperCAmelCase__							  =				PRETRAINED_VOCAB_FILES_MAP
    UpperCAmelCase__							  =				['''input_ids''', '''attention_mask''']
    UpperCAmelCase__							  =				None


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





           '''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_ ,			)
           A__							=   json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__())
           if pre_tok_state.get('''add_prefix_space''' ,			snake_case_) != add_prefix_space:
                  A__							=   getattr(snake_case_ ,			pre_tok_state.pop('''type'''))
                  A__							=   add_prefix_space
                  A__							=   pre_tok_class(**snake_case_)

           A__							=   add_prefix_space


    def 	SCREAMING_SNAKE_CASE							(      self				:     str ,			*UpperCAmelCase__				:     List[str] ,			**UpperCAmelCase__				:     List[Any])						->List[Any]:





           '''simple docstring'''

           A__							=   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 	SCREAMING_SNAKE_CASE							(      self				:     int ,			*UpperCAmelCase__				:     Optional[int] ,			**UpperCAmelCase__				:     Optional[int])						->Any:





           '''simple docstring'''

           A__							=   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 	SCREAMING_SNAKE_CASE							(      self				:     Optional[Any] ,			UpperCAmelCase__				:     str ,			UpperCAmelCase__				:     Optional[str] = None)						->Union[str, Any]:





           '''simple docstring'''

           A__							=   self._tokenizer.model.save(snake_case_ ,			name=snake_case_)
           return tuple(snake_case_)





    def 	SCREAMING_SNAKE_CASE							(      self				:     List[Any] ,			UpperCAmelCase__				:     "Conversation")						->Optional[int]:





           '''simple docstring'''

           A__							=   []
           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:
                  A__							=   input_ids[-self.model_max_length :]
           return input_ids








def SCREAMING_SNAKE_CASE    (	lowercase_						)       ->	str:



       """simple docstring"""

       return " ".join(
           ''''''.join(word[::-1]						) if len(lowercase_						) > 4 else word for word in sentence.split()						)


if __name__ == "__main__":
  import doctest

  doctest.testmod()
  print(reverse_long_words("""Hey wollef sroirraw"""))


