





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     :     Any							=	logging.get_logger(__name__)

UpperCAmelCase     :     Optional[int]							=	{"""tokenizer_file""": """tokenizer.json"""}

UpperCAmelCase     :     Union[str, 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__):
      _lowercase    : Dict            =      VOCAB_FILES_NAMES
      _lowercase    : List[Any]            =      PRETRAINED_VOCAB_FILES_MAP
      _lowercase    : List[Any]            =      ["""input_ids""", """attention_mask"""]
      _lowercase    : Dict            =      None







      def __init__(   self		,				lowerCAmelCase__=None		,				lowerCAmelCase__=None		,				lowerCAmelCase__=None		,				lowerCAmelCase__="<unk>"		,				lowerCAmelCase__="<s>"		,				lowerCAmelCase__="</s>"		,				lowerCAmelCase__="<pad>"		,				lowerCAmelCase__=False		,				lowerCAmelCase__=False		,				**lowerCAmelCase__		,				)       ->						Optional[Any]:



        '''simple docstring'''




        super().__init__(
            lowerCAmelCase__		,				lowerCAmelCase__		,				tokenizer_file=lowerCAmelCase__		,				unk_token=lowerCAmelCase__		,				bos_token=lowerCAmelCase__		,				eos_token=lowerCAmelCase__		,				pad_token=lowerCAmelCase__		,				add_prefix_space=lowerCAmelCase__		,				clean_up_tokenization_spaces=lowerCAmelCase__		,				**lowerCAmelCase__		,				)
        a__     : int  =json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()							)
        if pre_tok_state.get("add_prefix_space"		,				lowerCAmelCase__							) != add_prefix_space:
          a__     : Tuple  =getattr(lowerCAmelCase__		,				pre_tok_state.pop("type"							)							)
          a__     : List[Any]  =add_prefix_space
          a__     : Tuple  =pre_tok_class(**lowerCAmelCase__							)

        a__     : Tuple  =add_prefix_space







      def        _lowercase  (   self		,				*lowerCAmelCase__		,				**lowerCAmelCase__							)       ->						BatchEncoding:



        '''simple docstring'''




        a__     : Optional[Any]  =kwargs.get("is_split_into_words"		,				lowerCAmelCase__							)
        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(*lowerCAmelCase__		,				**lowerCAmelCase__							)







      def        _lowercase  (   self		,				*lowerCAmelCase__		,				**lowerCAmelCase__							)       ->						BatchEncoding:



        '''simple docstring'''




        a__     : Tuple  =kwargs.get("is_split_into_words"		,				lowerCAmelCase__							)

        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(*lowerCAmelCase__		,				**lowerCAmelCase__							)







      def        _lowercase  (   self		,				lowerCAmelCase__		,				lowerCAmelCase__ = None							)       ->						Tuple[str]:



        '''simple docstring'''




        a__     : Optional[int]  =self._tokenizer.model.save(lowerCAmelCase__		,				name=lowerCAmelCase__							)
        return tuple(lowerCAmelCase__							)







      def        _lowercase  (   self		,				lowerCAmelCase__							)       ->						List[int]:



        '''simple docstring'''




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

        if len(lowerCAmelCase__							) > self.model_max_length:
          a__     : Tuple  =input_ids[-self.model_max_length :]
        return input_ids







import random
from typing import Any
def 					_A	(		SCREAMING_SNAKE_CASE					:       list						):





  """simple docstring"""



  for _ in range(len(SCREAMING_SNAKE_CASE						)						):
    a__     : Tuple  =random.randint(0	,	len(SCREAMING_SNAKE_CASE						) - 1						)
    a__     : Any  =random.randint(0	,	len(SCREAMING_SNAKE_CASE						) - 1						)
    a__ ,							a__     : Tuple  =data[b], data[a]
  return data


if __name__ == "__main__":
     UpperCAmelCase     :     Dict							=	[0, 1, 2, 3, 4, 5, 6, 7]
     UpperCAmelCase     :     Optional[Any]							=	["""python""", """says""", """hello""", """!"""]
     print("""Fisher-Yates Shuffle:""")
     print("""List""", integers, strings)
     print("""FY Shuffle""", fisher_yates_shuffle(integers), fisher_yates_shuffle(strings))






