
from typing import List, Optional

from tokenizers import ByteLevelBPETokenizer

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_blenderbot_small import BlenderbotSmallTokenizer


lowerCamelCase_    :			List[str]    =	logging.get_logger(__name__)

lowerCamelCase_    :			Dict    =	{
    """vocab_file""": """vocab.json""",
    """merges_file""": """merges.txt""",
    """tokenizer_config_file""": """tokenizer_config.json""",
}

lowerCamelCase_    :			Optional[Any]    =	{
    """vocab_file""": {
        """facebook/blenderbot_small-90M""": """https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/vocab.json"""
    },
    """merges_file""": {
        """facebook/blenderbot_small-90M""": """https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/merges.txt"""
    },
    """tokenizer_config_file""": {
        """facebook/blenderbot_small-90M""": (
            """https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/tokenizer_config.json"""
        )
    },
}

lowerCamelCase_    :			Any    =	{
    """facebook/blenderbot_small-90M""": 5_12,
}

class 							_UpperCamelCase					(       __SCREAMING_SNAKE_CASE	):






			'''simple docstring'''

			__UpperCamelCase   :    Any          =			VOCAB_FILES_NAMES
			__UpperCamelCase   :    Optional[int]          =			PRETRAINED_VOCAB_FILES_MAP
			__UpperCamelCase   :    Dict          =			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			__UpperCamelCase   :    List[str]          =			BlenderbotSmallTokenizer

			def __init__(							self			:							str    ,						snake_case_			:							Dict=None    ,						snake_case_			:							Any=None    ,						snake_case_			:							List[str]="<|endoftext|>"    ,						snake_case_			:							Optional[Any]="<|endoftext|>"    ,						snake_case_			:							List[str]="<|endoftext|>"    ,						snake_case_			:							List[Any]=False    ,						snake_case_			:							Union[str, Any]=True    ,						**snake_case_			:							Optional[int]    ,						):
							super().__init__(
							    ByteLevelBPETokenizer(
							        vocab=_A    ,						merges=_A    ,						add_prefix_space=_A    ,						trim_offsets=_A    ,						)    ,						bos_token=_A    ,						eos_token=_A    ,						unk_token=_A    ,						**_A    ,						)
							UpperCamelCase_:				List[str]						=    add_prefix_space

			def    lowerCAmelCase__						(							self			:							List[str]    ,						snake_case_			:							Optional[int]    ,						snake_case_			:							Optional[int]=None   ):
							UpperCamelCase_:				List[Any]						=    [self.bos_token_id] + token_ids_a + [self.eos_token_id]
							if token_ids_a is None:
											return output

							return output + [self.eos_token_id] + token_ids_a + [self.eos_token_id]




			def    lowerCAmelCase__						(							self			:							Any    ,						snake_case_			:							Union[str, Any]    ,						snake_case_			:							List[str] = None   ):
							UpperCamelCase_:				List[Any]						=    [self.sep_token_id]
							UpperCamelCase_:				Any						=    [self.cls_token_id]

							if token_ids_a is None:
											return len(cls + token_ids_a + sep   ) * [0]
							return len(cls + token_ids_a + sep + sep + token_ids_a + sep   ) * [0]













"""simple docstring"""


from bisect import bisect
from itertools import accumulate

def      UpperCamelCase							(SCREAMING_SNAKE_CASE							,     SCREAMING_SNAKE_CASE							,     SCREAMING_SNAKE_CASE							,     SCREAMING_SNAKE_CASE     ):
						UpperCamelCase				:		Dict				   =			sorted(zip(SCREAMING_SNAKE_CASE							,     SCREAMING_SNAKE_CASE     )							,     key=lambda SCREAMING_SNAKE_CASE     : x[0] / x[1]							,     reverse=SCREAMING_SNAKE_CASE     )
						UpperCamelCase   ,						UpperCamelCase				:		int				   =			[i[0] for i in r], [i[1] for i in r]
						UpperCamelCase				:		Optional[Any]				   =			list(accumulate(SCREAMING_SNAKE_CASE     )     )
						UpperCamelCase				:		Optional[Any]				   =			bisect(SCREAMING_SNAKE_CASE							,     SCREAMING_SNAKE_CASE     )
						return (
						    0
						    if k == 0
						    else sum(vl[:k]     ) + (w - acc[k - 1]) * (vl[k]) / (wt[k])
						    if k != n
						    else sum(vl[:k]     )
						)


if __name__ == "__main__":
		import doctest

		doctest.testmod()



