



"""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


lowercase__    :  Tuple							    =	logging.get_logger(__name__)

lowercase__    :  List[str]							    =	{'''tokenizer_file''': '''tokenizer.json'''}

lowercase__    :  Dict							    =	{
    '''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       (			lowerCAmelCase__):
 _lowerCAmelCase   :			Tuple							=		VOCAB_FILES_NAMES
 _lowerCAmelCase   :			Tuple							=		PRETRAINED_VOCAB_FILES_MAP
 _lowerCAmelCase   :			Union[str, Any]							=		["""input_ids""", """attention_mask"""]
 _lowerCAmelCase   :			Any							=		None

 def __init__(     self		:       Union[str, Any]  ,     lowercase_		:       Union[str, Any]=None  ,     lowercase_		:       Optional[Any]=None  ,     lowercase_		:       Optional[Any]=None  ,     lowercase_		:       Optional[Any]="<unk>"  ,     lowercase_		:       Optional[int]="<s>"  ,     lowercase_		:       Tuple="</s>"  ,     lowercase_		:       Optional[Any]="<pad>"  ,     lowercase_		:       Union[str, Any]=False  ,     lowercase_		:       Union[str, Any]=False  ,     **lowercase_		:       List[str]  ,     ):
     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_  ,     )
     snake_case_ :     Any				=	json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()				)
     if pre_tok_state.get('''add_prefix_space'''  ,     lowercase_				) != add_prefix_space:
         snake_case_ :     int				=	getattr(lowercase_  ,     pre_tok_state.pop('''type'''				)				)
         snake_case_ :     Tuple				=	add_prefix_space
         snake_case_ :     Tuple				=	pre_tok_class(**lowercase_				)

     snake_case_ :     Optional[Any]				=	add_prefix_space

 def 						_snake_case					(     self		:       int  ,     *lowercase_		:       List[str]  ,     **lowercase_		:       str				):
     snake_case_ :     Union[str, 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 						_snake_case					(     self		:       List[Any]  ,     *lowercase_		:       List[str]  ,     **lowercase_		:       List[str]				):
     snake_case_ :     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 						_snake_case					(     self		:       str  ,     lowercase_		:       str  ,     lowercase_		:       Optional[str] = None				):
     snake_case_ :     Union[str, Any]				=	self._tokenizer.model.save(lowercase_  ,     name=lowercase_				)
     return tuple(lowercase_				)






 def 						_snake_case					(     self		:       Optional[Any]  ,     lowercase_		:       "Conversation"				):
     snake_case_ :     List[str]				=	[]
     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:
         snake_case_ :     List[Any]				=	input_ids[-self.model_max_length :]
     return input_ids










"""simple docstring"""

def __lowercase			(							_a		,			_a		,			_a=False    ):

    if isinstance(_a		,			_a    ) and isinstance(_a		,			_a    ):
        snake_case_ :     Union[str, Any]				=	len(set_a.intersection(_a    )    )

        if alternative_union:
            snake_case_ :     Any				=	len(_a    ) + len(_a    )
        else:
            snake_case_ :     str				=	len(set_a.union(_a    )    )

        return intersection / union

    if isinstance(_a		,			(list, tuple)    ) and isinstance(_a		,			(list, tuple)    ):
        snake_case_ :     str				=	[element for element in set_a if element in set_b]

        if alternative_union:
            snake_case_ :     Tuple				=	len(_a    ) + len(_a    )
            return len(_a    ) / union
        else:
            snake_case_ :     List[Any]				=	set_a + [element for element in set_b if element not in set_a]
            return len(_a    ) / len(_a    )

        return len(_a    ) / len(_a    )
    return None


if __name__ == "__main__":
     lowercase__    :  Any							    =	{'''a''', '''b''', '''c''', '''d''', '''e'''}
     lowercase__    :  Optional[Any]							    =	{'''c''', '''d''', '''e''', '''f''', '''h''', '''i'''}
     print(jaccard_similarity(set_a, set_b))





