
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


_A		     =    logging.get_logger(__name__)

_A		     =    {
    '''vocab_file''': '''vocab.json''',
    '''merges_file''': '''merges.txt''',
    '''tokenizer_config_file''': '''tokenizer_config.json''',
}

_A		     =    {
    '''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'''
        )
    },
}

_A		     =    {
    '''facebook/blenderbot_small-90M''': 512,
}

class 						lowercase_				(				__lowerCamelCase ):
 A__  : Dict      					=			VOCAB_FILES_NAMES
 A__  : str      					=			PRETRAINED_VOCAB_FILES_MAP
 A__  : Union[str, Any]      					=			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 A__  : Optional[int]      					=			BlenderbotSmallTokenizer

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




        """simple docstring"""


        super().__init__(
            ByteLevelBPETokenizer(
                vocab=__UpperCamelCase   ,		merges=__UpperCamelCase   ,		add_prefix_space=__UpperCamelCase   ,		trim_offsets=__UpperCamelCase   ,		)   ,		bos_token=__UpperCamelCase   ,		eos_token=__UpperCamelCase   ,		unk_token=__UpperCamelCase   ,		**__UpperCamelCase   ,		)
        UpperCamelCase_											=				add_prefix_space

 def lowerCamelCase_ (					self   ,		__UpperCamelCase   ,		__UpperCamelCase=None   ):




        """simple docstring"""


        UpperCamelCase_											=				[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   ,		__UpperCamelCase   ,		__UpperCamelCase = None   ):




        """simple docstring"""


        UpperCamelCase_											=				[self.sep_token_id]
        UpperCamelCase_											=				[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]










import random




def 		lowerCAmelCase_    (  __UpperCAmelCase:			list		,   __UpperCAmelCase:			Optional[int]      )      ->	tuple:
    UpperCamelCase__   ,UpperCamelCase__   ,UpperCamelCase__							:				List[Any]          =      [], [], []
    for element in data:
        if element < pivot:
            less.append(__UpperCAmelCase      )
        elif element > pivot:
            greater.append(__UpperCAmelCase      )
        else:
            equal.append(__UpperCAmelCase      )
    return less, equal, greater





def 		lowerCAmelCase_    (  __UpperCAmelCase:			list		,   __UpperCAmelCase:			int      )      ->	List[str]:
    # index = len(items) // 2 when trying to find the median
    #   (value of index when items is sorted)

    # invalid input
    if index >= len(__UpperCAmelCase      ) or index < 0:
        return None

    UpperCamelCase__							:				List[str]          =      items[random.randint(0		,   len(__UpperCAmelCase      ) - 1      )]
    UpperCamelCase__							:				List[Any]          =      0
    UpperCamelCase__   ,UpperCamelCase__   ,UpperCamelCase__							:				int          =      _partition(__UpperCAmelCase		,   __UpperCAmelCase      )
    UpperCamelCase__							:				Union[str, Any]          =      len(__UpperCAmelCase      )
    UpperCamelCase__							:				Dict          =      len(__UpperCAmelCase      )

    # index is the pivot
    if m <= index < m + count:
        return pivot
    # must be in smaller
    elif m > index:
        return quick_select(__UpperCAmelCase		,   __UpperCAmelCase      )
    # must be in larger
    else:
        return quick_select(__UpperCAmelCase		,   index - (m + count)      )

