




'''simple docstring'''


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


_lowercase  =			logging.get_logger(__name__)

_lowercase  =			{
    """google/canine-s""": """https://huggingface.co/google/canine-s/resolve/main/config.json""",
    # See all CANINE models at https://huggingface.co/models?filter=canine
}
class 						a_				(			UpperCAmelCase__						):
	lowercase_       :     Optional[int]			  =      '''canine'''




	def __init__(       self     :  Optional[Any]       ,		__lowerCAmelCase     :  List[str]=7_6_8       ,		__lowerCAmelCase     :  Union[str, Any]=1_2       ,		__lowerCAmelCase     :  Tuple=1_2       ,		__lowerCAmelCase     :  Optional[int]=3_0_7_2       ,		__lowerCAmelCase     :  int="gelu"       ,		__lowerCAmelCase     :  Optional[Any]=0.1       ,		__lowerCAmelCase     :  Optional[int]=0.1       ,		__lowerCAmelCase     :  Tuple=1_6_3_8_4       ,		__lowerCAmelCase     :  Any=1_6       ,		__lowerCAmelCase     :  int=0.02       ,		__lowerCAmelCase     :  Dict=1E-12       ,		__lowerCAmelCase     :  Union[str, Any]=0       ,		__lowerCAmelCase     :  Dict=0XE_000       ,		__lowerCAmelCase     :  Optional[Any]=0XE_001       ,		__lowerCAmelCase     :  int=4       ,		__lowerCAmelCase     :  Any=4       ,		__lowerCAmelCase     :  int=8       ,		__lowerCAmelCase     :  List[str]=1_6_3_8_4       ,		__lowerCAmelCase     :  List[Any]=1_2_8       ,		**__lowerCAmelCase     :  Optional[int]       ,		):
							super().__init__(pad_token_id=__lowerCAmelCase       ,		bos_token_id=__lowerCAmelCase       ,		eos_token_id=__lowerCAmelCase       ,		**__lowerCAmelCase      )

							__snake_case						 =   max_position_embeddings
							__snake_case						 =   hidden_size
							__snake_case						 =   num_hidden_layers
							__snake_case						 =   num_attention_heads
							__snake_case						 =   intermediate_size
							__snake_case						 =   hidden_act
							__snake_case						 =   hidden_dropout_prob
							__snake_case						 =   attention_probs_dropout_prob
							__snake_case						 =   initializer_range
							__snake_case						 =   type_vocab_size
							__snake_case						 =   layer_norm_eps

							# Character config:
							__snake_case						 =   downsampling_rate
							__snake_case						 =   upsampling_kernel_size
							__snake_case						 =   num_hash_functions
							__snake_case						 =   num_hash_buckets
							__snake_case						 =   local_transformer_stride







'''simple docstring'''


def 						lowerCamelCase__   (				a							):
						__snake_case						 =   [0] * len(a							)
						__snake_case						 =   []
						__snake_case						 =   []
						__snake_case						 =   0

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

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

						while queue:
												__snake_case						 =   queue.pop(0							)
												cnt += 1
												topo.append(a							)
												for x in graph[vertex]:
																		indegree[x] -= 1
																		if indegree[x] == 0:
																								queue.append(a							)

						if cnt != len(a							):
												print('Cycle exists'							)
						else:
												print(a							)


# Adjacency List of Graph
_lowercase  =			{0: [1, 2], 1: [3], 2: [3], 3: [4, 5], 4: [], 5: []}






topological_sort(graph)

