


'''simple docstring'''



__lowercase			:		Optional[Any] =			[
    ['ab-e1', 'ac-e3', 'ad-e5', 'bc-e4', 'bd-e2', 'be-e6', 'bh-e12', 'cd-e2', 'ce-e4',
     'de-e1', 'df-e8', 'dg-e5', 'dh-e10', 'ef-e3', 'eg-e2', 'fg-e6', 'gh-e6', 'hi-e3'],
    ['ab-e1', 'ac-e3', 'ad-e5', 'bc-e4', 'bd-e2', 'be-e6', 'cd-e2', 'de-e1', 'df-e8',
     'ef-e3', 'eg-e2', 'fg-e6'],
    ['ab-e1', 'ac-e3', 'bc-e4', 'bd-e2', 'de-e1', 'df-e8', 'dg-e5', 'ef-e3', 'eg-e2',
     'eh-e12', 'fg-e6', 'fh-e10', 'gh-e6'],
    ['ab-e1', 'ac-e3', 'bc-e4', 'bd-e2', 'bh-e12', 'cd-e2', 'df-e8', 'dh-e10'],
    ['ab-e1', 'ac-e3', 'ad-e5', 'bc-e4', 'bd-e2', 'cd-e2', 'ce-e4', 'de-e1', 'df-e8',
     'dg-e5', 'ef-e3', 'eg-e2', 'fg-e6']
]






def 						lowerCamelCase							(_SCREAMING_SNAKE_CASE   :     str     ):
					__a    : Dict      					=						set()
					for row in edge_array:
										for item in row:
															distinct_edge.add(item[0]     )
					return list(_SCREAMING_SNAKE_CASE     )






def 						lowerCamelCase							(_SCREAMING_SNAKE_CASE   :     Any		,   _SCREAMING_SNAKE_CASE   :     Optional[int]     ):
					__a    : Optional[Any]      					=						['0'] * len(_SCREAMING_SNAKE_CASE     )
					for i, row in enumerate(_SCREAMING_SNAKE_CASE     ):
										for item in row:
															if distinct_edge in item[0]:
																				__a    : Optional[Any]      					=						'1'
																				break
					return "".join(_SCREAMING_SNAKE_CASE     )






def 						lowerCamelCase							(_SCREAMING_SNAKE_CASE   :     List[Any]     ):
					__a    : Any      					=						get_distinct_edge(_SCREAMING_SNAKE_CASE     )
					__a    : Any      					=						{}

					for item in distinct_edge:
										__a    : Optional[Any]      					=						get_bitcode(_SCREAMING_SNAKE_CASE		,   _SCREAMING_SNAKE_CASE     )
										# print('bit',bit)
										# bt=''.join(bit)
										__a    : Tuple      					=						bit.count('1'     )
										__a    : Optional[Any]      					=						[s, bit]
					# Store [Distinct edge, WT(Bitcode), Bitcode] in descending order
					__a    : List[Any]      					=						[
					    [k, v[0], v[1]]
					    for k, v in sorted(frequency_table.items()		,   key=lambda _SCREAMING_SNAKE_CASE     : v[1][0]		,   reverse=_SCREAMING_SNAKE_CASE     )
					]
					return sorted_frequency_table






def 						lowerCamelCase							(_SCREAMING_SNAKE_CASE   :     Union[str, Any]     ):
					__a    : str      					=						{}
					for _, item in enumerate(_SCREAMING_SNAKE_CASE     ):
										nodes.setdefault(item[2]		,   []     ).append(item[0]     )
					return nodes






def 						lowerCamelCase							(_SCREAMING_SNAKE_CASE   :     Dict     ):
					__a    : List[str]      					=						{}
					for key, value in nodes.items():
										__a    : Dict      					=						value
					return cluster






def 						lowerCamelCase							(_SCREAMING_SNAKE_CASE   :     List[Any]     ):
					return [i * 100 / len(_SCREAMING_SNAKE_CASE     ) for i in cluster]






def 						lowerCamelCase							():
					print('\nNodes\n'     )
					for key, value in nodes.items():
										print(_SCREAMING_SNAKE_CASE		,   _SCREAMING_SNAKE_CASE     )
					print('\nSupport\n'     )
					print(_SCREAMING_SNAKE_CASE     )
					print('\n Cluster \n'     )
					for key, value in sorted(cluster.items()		,   reverse=_SCREAMING_SNAKE_CASE     ):
										print(_SCREAMING_SNAKE_CASE		,   _SCREAMING_SNAKE_CASE     )
					print('\n Graph\n'     )
					for key, value in graph.items():
										print(_SCREAMING_SNAKE_CASE		,   _SCREAMING_SNAKE_CASE     )
					print('\n Edge List of Frequent subgraphs \n'     )
					for edge_list in freq_subgraph_edge_list:
										print(_SCREAMING_SNAKE_CASE     )






def 						lowerCamelCase							(_SCREAMING_SNAKE_CASE   :     Tuple		,   _SCREAMING_SNAKE_CASE   :     Optional[Any]		,   _SCREAMING_SNAKE_CASE   :     List[Any]		,   _SCREAMING_SNAKE_CASE   :     int     ):
					for i in cluster[ca]:
										__a    : Tuple      					=						0
										__a    : str      					=						ca + 1
										while ca < max(cluster.keys()     ):
															for j in cluster[ca]:
																				if int(_SCREAMING_SNAKE_CASE		,   2     ) & int(_SCREAMING_SNAKE_CASE		,   2     ) == int(_SCREAMING_SNAKE_CASE		,   2     ):
																									if tuple(nodes[i]     ) in graph:
																														graph[tuple(nodes[i]     )].append(nodes[j]     )
																									else:
																														__a    : List[str]      					=						[nodes[j]]
																									count += 1
															if count == 0:
																				__a    : Union[str, Any]      					=						ca + 1
															else:
																				break






def 						lowerCamelCase							(_SCREAMING_SNAKE_CASE   :     List[str]		,   _SCREAMING_SNAKE_CASE   :     Any     ):
					__a    : List[Any]      					=						cluster[max(cluster.keys()     )]
					__a    : Union[str, Any]      					=						'Header'
					__a    : Optional[int]      					=						{}
					for i in x:
										if (["Header"],) in graph:
															graph[(["Header"],)].append(x[i]     )
										else:
															__a    : Tuple      					=						[x[i]]
					for i in x:
										__a    : Any      					=						[['Header']]
					__a    : Any      					=						1
					while i < max(_SCREAMING_SNAKE_CASE     ) - 1:
										create_edge(_SCREAMING_SNAKE_CASE		,   _SCREAMING_SNAKE_CASE		,   _SCREAMING_SNAKE_CASE		,   _SCREAMING_SNAKE_CASE     )
										__a    : int      					=						i + 1
					return graph






def 						lowerCamelCase							(_SCREAMING_SNAKE_CASE   :     Tuple		,   _SCREAMING_SNAKE_CASE   :     Dict		,   _SCREAMING_SNAKE_CASE   :     Tuple		,   _SCREAMING_SNAKE_CASE   :     Optional[int]=None     ):
					__a    : Dict      					=						(path or []) + [start]
					if start == end:
										paths.append(_SCREAMING_SNAKE_CASE     )
					for node in graph[start]:
										if tuple(_SCREAMING_SNAKE_CASE     ) not in path:
															my_dfs(_SCREAMING_SNAKE_CASE		,   tuple(_SCREAMING_SNAKE_CASE     )		,   _SCREAMING_SNAKE_CASE		,   _SCREAMING_SNAKE_CASE     )






def 						lowerCamelCase							(_SCREAMING_SNAKE_CASE   :     int		,   _SCREAMING_SNAKE_CASE   :     Optional[Any]		,   _SCREAMING_SNAKE_CASE   :     Dict     ):
					__a    : int      					=						int(s / 100 * (len(_SCREAMING_SNAKE_CASE     ) - 1)     )
					for i in cluster[k]:
										my_dfs(_SCREAMING_SNAKE_CASE		,   tuple(cluster[k][i]     )		,   (['Header'],)     )






def 						lowerCamelCase							(_SCREAMING_SNAKE_CASE   :     List[Any]     ):
					__a    : Optional[int]      					=						[]
					for edges in paths:
										__a    : Tuple      					=						[]
										for j in range(len(_SCREAMING_SNAKE_CASE     ) - 1     ):
															__a    : Tuple      					=						list(edges[j]     )
															for e in temp:
																				__a    : int      					=						(e[0], e[1])
																				el.append(_SCREAMING_SNAKE_CASE     )
										freq_sub_el.append(_SCREAMING_SNAKE_CASE     )
					return freq_sub_el






def 						lowerCamelCase							(_SCREAMING_SNAKE_CASE   :     List[str]     ):
					for i in range(len(_SCREAMING_SNAKE_CASE     )     ):
										for j in range(len(edge_array[i]     )     ):
															__a    : Any      					=						edge_array[i][j].split('-'     )
															__a    : Union[str, Any]      					=						t


if __name__ == "__main__":
	preprocess(edge_array)
	__lowercase			:		int =			get_frequency_table(edge_array)
	__lowercase			:		int =			get_nodes(frequency_table)
	__lowercase			:		Tuple =			get_cluster(nodes)
	__lowercase			:		Any =			get_support(cluster)
	__lowercase			:		int =			construct_graph(cluster, nodes)
	find_freq_subgraph_given_support(60, cluster, graph)
	__lowercase			:		list =			[]
	__lowercase			:		Union[str, Any] =			freq_subgraphs_edge_list(paths)
	print_all()







'''simple docstring'''



from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__lowercase			:		Any =			{'configuration_visual_bert': ['VISUAL_BERT_PRETRAINED_CONFIG_ARCHIVE_MAP', 'VisualBertConfig']}

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	__lowercase			:		Optional[int] =			[
	    'VISUAL_BERT_PRETRAINED_MODEL_ARCHIVE_LIST',
	    'VisualBertForMultipleChoice',
	    'VisualBertForPreTraining',
	    'VisualBertForQuestionAnswering',
	    'VisualBertForRegionToPhraseAlignment',
	    'VisualBertForVisualReasoning',
	    'VisualBertLayer',
	    'VisualBertModel',
	    'VisualBertPreTrainedModel',
	]


if TYPE_CHECKING:
	from .configuration_visual_bert import VISUAL_BERT_PRETRAINED_CONFIG_ARCHIVE_MAP, VisualBertConfig

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_visual_bert import (
		    VISUAL_BERT_PRETRAINED_MODEL_ARCHIVE_LIST,
		    VisualBertForMultipleChoice,
		    VisualBertForPreTraining,
		    VisualBertForQuestionAnswering,
		    VisualBertForRegionToPhraseAlignment,
		    VisualBertForVisualReasoning,
		    VisualBertLayer,
		    VisualBertModel,
		    VisualBertPreTrainedModel,
		)


else:
	import sys

	__lowercase			:		Tuple =			_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)



