

"""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


A_							:	Tuple      =       logging.get_logger(__name__)

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

A_							:	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"""
        )
    },
}

A_							:	str      =       {
    """facebook/blenderbot_small-90M""": 512,
}





class       lowerCamelCase  (UpperCAmelCase__	):
			lowerCamelCase__      :						str    						=							VOCAB_FILES_NAMES
			lowerCamelCase__      :						List[str]    						=							PRETRAINED_VOCAB_FILES_MAP
			lowerCamelCase__      :						Tuple    						=							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			lowerCamelCase__      :						str    						=							BlenderbotSmallTokenizer

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

			def     SCREAMING_SNAKE_CASE (    self :  List[Any]			, __UpperCAmelCase :  Optional[int]			, __UpperCAmelCase :  List[Any]=None				)      ->			Dict:
						SCREAMING_SNAKE_CASE__									=					[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     SCREAMING_SNAKE_CASE (    self :  Dict			, __UpperCAmelCase :  List[int]			, __UpperCAmelCase :  Optional[List[int]] = None				)      ->			List[int]:
						SCREAMING_SNAKE_CASE__									=					[self.sep_token_id]
						SCREAMING_SNAKE_CASE__									=					[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]








def SCREAMING_SNAKE_CASE				(       lowercase_						)   ->       Any:



       """simple docstring"""

       A__       =    [0] * len(lowercase_						)
       A__       =    []
       A__       =    [1] * len(lowercase_						)

       for values in graph.values():
              for i in values:
                     indegree[i] += 1

       for i in range(len(lowercase_						)						):
              if indegree[i] == 0:
                     queue.append(lowercase_						)

       while queue:
              A__       =    queue.pop(0						)
              for x in graph[vertex]:
                     indegree[x] -= 1

                     if long_dist[vertex] + 1 > long_dist[x]:
                            A__       =    long_dist[vertex] + 1

                     if indegree[x] == 0:
                            queue.append(lowercase_						)

       print(max(lowercase_						)						)


# Adjacency list of Graph
_lowerCamelCase	:		Optional[int]							       =   {0: [2, 3, 4], 1: [2, 7], 2: [5], 3: [5, 7], 4: [7], 5: [6], 6: [7], 7: []}
longest_distance(graph)


