code: 
  
  
  '''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()
  
  
  
  
style_context: 
  
  
  '''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__)
  
  
  
  