





"""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


A			      =	logging.get_logger(__name__)

A			      =	{'''tokenizer_file''': '''tokenizer.json'''}

A			      =	{
    '''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 					__lowercase      (      _UpperCamelCase				):







					'''simple docstring'''




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







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

									__a			:    Optional[int]      							=	add_prefix_space







					def 			_lowerCamelCase		(    self						,      *_UpperCAmelCase						,      **_UpperCAmelCase  ):
									__a			:    str      							=	kwargs.get('''is_split_into_words'''						,      _UpperCAmelCase  )
									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(*_UpperCAmelCase						,      **_UpperCAmelCase  )







					def 			_lowerCamelCase		(    self						,      *_UpperCAmelCase						,      **_UpperCAmelCase  ):
									__a			:    int      							=	kwargs.get('''is_split_into_words'''						,      _UpperCAmelCase  )

									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(*_UpperCAmelCase						,      **_UpperCAmelCase  )







					def 			_lowerCamelCase		(    self						,      _UpperCAmelCase						,      _UpperCAmelCase = None  ):
									__a			:    Optional[int]      							=	self._tokenizer.model.save(_UpperCAmelCase						,      name=_UpperCAmelCase  )
									return tuple(_UpperCAmelCase  )







					def 			_lowerCamelCase		(    self						,      _UpperCAmelCase  ):
									__a			:    Union[str, Any]      							=	[]
									for is_user, text in conversation.iter_texts():
													input_ids.extend(self.encode(_UpperCAmelCase						,      add_special_tokens=_UpperCAmelCase  ) + [self.eos_token_id]  )

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

"""simple docstring"""




def 							_lowerCamelCase			(			__a     ):
		if divisor % 5 == 0 or divisor % 2 == 0:
				return 0
		SCREAMING_SNAKE_CASE_    			=			1
		SCREAMING_SNAKE_CASE_    			=			1
		while repunit:
				SCREAMING_SNAKE_CASE_    			=			(10 * repunit + 1) % divisor
				repunit_index += 1
		return repunit_index



def 							_lowerCamelCase			(			__a = 1_000_000     ):
		SCREAMING_SNAKE_CASE_    			=			limit - 1
		if divisor % 2 == 0:
				divisor += 1
		while least_divisible_repunit(__a     ) <= limit:
				divisor += 2
		return divisor


if __name__ == "__main__":
						print(f'''{solution() = }''')