





"""simple docstring"""


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


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

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

__magic_name__       :					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"""
        )
    },
}

__magic_name__       :					Any						=			{
    """facebook/blenderbot_small-90M""": 5_1_2,
}






class 							lowercase__			(   __SCREAMING_SNAKE_CASE	):

			"""simple docstring"""
			__lowerCAmelCase     :				Any										=  VOCAB_FILES_NAMES
			__lowerCAmelCase     :				Optional[int]										=  PRETRAINED_VOCAB_FILES_MAP
			__lowerCAmelCase     :				Dict										=  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			__lowerCAmelCase     :				List[str]										=  BlenderbotSmallTokenizer







			def __init__(      self						,   _A=None						,   _A=None						,   _A="<|endoftext|>"						,   _A="<|endoftext|>"						,   _A="<|endoftext|>"						,   _A=False						,   _A=True						,   **_A						,   ):






									'''simple docstring'''







									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   _a      (      self						,   _A						,   _A=None    ):






									'''simple docstring'''







									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   _a      (      self						,   _A						,   _A = None    ):






									'''simple docstring'''







									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()



