



"""simple docstring"""





from ...configuration_utils import PretrainedConfig
from ...utils import logging


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

__lowerCAmelCase       :					Any      					=					{
    '''uw-madison/mra-base-512-4''': '''https://huggingface.co/uw-madison/mra-base-512-4/resolve/main/config.json''',
}



class    _lowerCAmelCase    (				SCREAMING_SNAKE_CASE__		):





		"""simple docstring"""






		_lowerCamelCase			  =       '''mra'''





		def __init__(					self							,    _lowercase=5_0_2_6_5							,    _lowercase=7_6_8							,    _lowercase=1_2							,    _lowercase=1_2							,    _lowercase=3_0_7_2							,    _lowercase="gelu"							,    _lowercase=0.1							,    _lowercase=0.1							,    _lowercase=5_1_2							,    _lowercase=1							,    _lowercase=0.02							,    _lowercase=1E-5							,    _lowercase="absolute"							,    _lowercase=4							,    _lowercase="full"							,    _lowercase=0							,    _lowercase=0							,    _lowercase=1							,    _lowercase=0							,    _lowercase=2							,    **_lowercase							,    ) ->						int:







								'''simple docstring'''

								super().__init__(pad_token_id=_lowercase							,    bos_token_id=_lowercase							,    eos_token_id=_lowercase							,    **_lowercase   )

								snake_case_   : Optional[Any]						=			vocab_size
								snake_case_   : Optional[int]						=			max_position_embeddings
								snake_case_   : Optional[int]						=			hidden_size
								snake_case_   : Optional[int]						=			num_hidden_layers
								snake_case_   : Optional[Any]						=			num_attention_heads
								snake_case_   : List[Any]						=			intermediate_size
								snake_case_   : Optional[Any]						=			hidden_act
								snake_case_   : int						=			hidden_dropout_prob
								snake_case_   : Any						=			attention_probs_dropout_prob
								snake_case_   : str						=			initializer_range
								snake_case_   : List[str]						=			type_vocab_size
								snake_case_   : Dict						=			layer_norm_eps
								snake_case_   : int						=			position_embedding_type
								snake_case_   : List[str]						=			block_per_row
								snake_case_   : Dict						=			approx_mode
								snake_case_   : str						=			initial_prior_first_n_blocks
								snake_case_   : Any						=			initial_prior_diagonal_n_blocks






"""simple docstring"""





def 	__lowerCAmelCase						(		__UpperCamelCase      :			Union[str, Any]    ):


						'''simple docstring'''






						snake_case_   : int						=			[0] * len(__UpperCamelCase    )
						snake_case_   : List[str]						=			[]
						snake_case_   : Any						=			[1] * len(__UpperCamelCase    )

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

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

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

																		if long_dist[vertex] + 1 > long_dist[x]:
																								snake_case_   : Union[str, Any]						=			long_dist[vertex] + 1

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

						print(max(__UpperCamelCase    )    )


# Adjacency list of Graph
__lowerCAmelCase       :					str      					=					{0: [2, 3, 4], 1: [2, 7], 2: [5], 3: [5, 7], 4: [7], 5: [6], 6: [7], 7: []}






longest_distance(graph)

