






lowercase  							=					{0: [2, 3], 1: [0], 2: [1], 3: [4], 4: []}

lowercase  							=					{0: [1, 2, 3], 1: [2], 2: [0], 3: [4], 4: [5], 5: [3]}





def 						__UpperCAmelCase			(     a_							,     a_							,     a_):
							snake_case_				=							True
							snake_case_				=							[]

							for neighbour in graph[vert]:
														if not visited[neighbour]:
																					order += topology_sort(a_							,     a_							,     a_)

							order.append(a_)

							return order





def 						__UpperCAmelCase			(     a_							,     a_							,     a_):
							snake_case_				=							True
							snake_case_				=							[vert]

							for neighbour in reversed_graph[vert]:
														if not visited[neighbour]:
																					component += find_components(a_							,     a_							,     a_)

							return component





def 						__UpperCAmelCase			(     a_):
							snake_case_				=							len(a_) * [False]
							snake_case_				=							{vert: [] for vert in range(len(a_))}

							for vert, neighbours in graph.items():
														for neighbour in neighbours:
																					reversed_graph[neighbour].append(a_)

							snake_case_				=							[]
							for i, was_visited in enumerate(a_):
														if not was_visited:
																					order += topology_sort(a_							,     a_							,     a_)

							snake_case_				=							[]
							snake_case_				=							len(a_) * [False]

							for i in range(len(a_)):
														snake_case_				=							order[len(a_) - i - 1]
														if not visited[vert]:
																					snake_case_				=							find_components(a_							,     a_							,     a_)
																					components_list.append(a_)

							return components_list













from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tf_available, is_torch_available


lowercase  							=					{
    "configuration_tapas": ["TAPAS_PRETRAINED_CONFIG_ARCHIVE_MAP", "TapasConfig"],
    "tokenization_tapas": ["TapasTokenizer"],
}

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	lowercase  							=					[
	    "TAPAS_PRETRAINED_MODEL_ARCHIVE_LIST",
	    "TapasForMaskedLM",
	    "TapasForQuestionAnswering",
	    "TapasForSequenceClassification",
	    "TapasModel",
	    "TapasPreTrainedModel",
	    "load_tf_weights_in_tapas",
	]
try:
	if not is_tf_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	lowercase  							=					[
	    "TF_TAPAS_PRETRAINED_MODEL_ARCHIVE_LIST",
	    "TFTapasForMaskedLM",
	    "TFTapasForQuestionAnswering",
	    "TFTapasForSequenceClassification",
	    "TFTapasModel",
	    "TFTapasPreTrainedModel",
	]


if TYPE_CHECKING:
	from .configuration_tapas import TAPAS_PRETRAINED_CONFIG_ARCHIVE_MAP, TapasConfig
	from .tokenization_tapas import TapasTokenizer

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_tapas import (
		    TAPAS_PRETRAINED_MODEL_ARCHIVE_LIST,
		    TapasForMaskedLM,
		    TapasForQuestionAnswering,
		    TapasForSequenceClassification,
		    TapasModel,
		    TapasPreTrainedModel,
		    load_tf_weights_in_tapas,
		)

	try:
		if not is_tf_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_tf_tapas import (
		    TF_TAPAS_PRETRAINED_MODEL_ARCHIVE_LIST,
		    TFTapasForMaskedLM,
		    TFTapasForQuestionAnswering,
		    TFTapasForSequenceClassification,
		    TFTapasModel,
		    TFTapasPreTrainedModel,
		)


else:
	import sys

	lowercase  							=					_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)





