



"""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


_UpperCAmelCase   =	logging.get_logger(__name__)

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

_UpperCAmelCase   =	{
    "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"
        )
    },
}

_UpperCAmelCase   =	{
    "facebook/blenderbot_small-90M": 5_1_2,
}
class     a		(     _a				):
  UpperCamelCase		: Tuple     =    VOCAB_FILES_NAMES
  UpperCamelCase		: int     =    PRETRAINED_VOCAB_FILES_MAP
  UpperCamelCase		: Optional[int]     =    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  UpperCamelCase		: List[Any]     =    BlenderbotSmallTokenizer



  def __init__(  self       :    List[str]				,						lowerCAmelCase       :    List[Any]=None				,						lowerCAmelCase       :    Dict=None				,						lowerCAmelCase       :    Optional[int]="<|endoftext|>"				,						lowerCAmelCase       :    str="<|endoftext|>"				,						lowerCAmelCase       :    List[Any]="<|endoftext|>"				,						lowerCAmelCase       :    List[str]=False				,						lowerCAmelCase       :    List[str]=True				,						**lowerCAmelCase       :    Optional[Any]				,						)   ->    Tuple:


     '''simple docstring'''




     super().__init__(
         ByteLevelBPETokenizer(
             vocab=lowerCAmelCase				,						merges=lowerCAmelCase				,						add_prefix_space=lowerCAmelCase				,						trim_offsets=lowerCAmelCase				,						)				,						bos_token=lowerCAmelCase				,						eos_token=lowerCAmelCase				,						unk_token=lowerCAmelCase				,						**lowerCAmelCase				,						)
     SCREAMING_SNAKE_CASE_:       Tuple   	=add_prefix_space



  def 		lowerCamelCase__				(  self       :    Optional[int]				,						lowerCAmelCase       :    List[str]				,						lowerCAmelCase       :    int=None						)   ->    int:


     '''simple docstring'''




     SCREAMING_SNAKE_CASE_:       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       :    Optional[Any]				,						lowerCAmelCase       :    Optional[int]				,						lowerCAmelCase       :    List[str] = None						)   ->    List[int]:


     '''simple docstring'''




     SCREAMING_SNAKE_CASE_:       Tuple   	=[self.sep_token_id]
     SCREAMING_SNAKE_CASE_:       Union[str, 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]







from __future__ import annotations



def 				UpperCamelCase_(      lowerCamelCase_ )    ->						bool:
    if len(lowerCamelCase_ ) < 2:
        raise ValueError('Monogons and Digons are not polygons in the Euclidean space' )
    if any(i <= 0 for i in nums ):
        raise ValueError('All values must be greater than 0' )
    _lowercase       :							Tuple      		=		nums.copy()
    copy_nums.sort()
    return copy_nums[-1] < sum(copy_nums[:-1] )


if __name__ == "__main__":
 import doctest

 doctest.testmod()


