code: 
  
  
  
  __A       					=		[
      ['''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  __a  (					lowerCAmelCase_     :      List[Any]       )   ->				str:
  
  
  
  
  
  
  						'''simple docstring'''
  
  
  
  						UpperCAmelCase_=     set()
  						for row in edge_array:
  												for item in row:
  																		distinct_edge.add(item[0]       )
  						return list(lowerCAmelCase_       )
  
  
  
  def  __a  (					lowerCAmelCase_     :      Dict    ,lowerCAmelCase_     :      List[str]       )   ->				Tuple:
  
  
  
  
  
  
  						'''simple docstring'''
  
  
  
  						UpperCAmelCase_=     ["""0"""] * len(lowerCAmelCase_       )
  						for i, row in enumerate(lowerCAmelCase_       ):
  												for item in row:
  																		if distinct_edge in item[0]:
  																								UpperCAmelCase_=     """1"""
  																								break
  						return "".join(lowerCAmelCase_       )
  
  
  
  def  __a  (					lowerCAmelCase_     :      Dict       )   ->				Dict:
  
  
  
  
  
  
  						'''simple docstring'''
  
  
  
  						UpperCAmelCase_=     get_distinct_edge(lowerCAmelCase_       )
  						UpperCAmelCase_=     {}
  
  						for item in distinct_edge:
  												UpperCAmelCase_=     get_bitcode(lowerCAmelCase_    ,lowerCAmelCase_       )
  												# print('bit',bit)
  												# bt=''.join(bit)
  												UpperCAmelCase_=     bit.count("""1"""       )
  												UpperCAmelCase_=     [s, bit]
  						# Store [Distinct edge, WT(Bitcode), Bitcode] in descending order
  						UpperCAmelCase_=     [
  						    [k, v[0], v[1]]
  						    for k, v in sorted(frequency_table.items()    ,key=lambda lowerCAmelCase_       : v[1][0]    ,reverse=lowerCAmelCase_       )
  						]
  						return sorted_frequency_table
  
  
  
  def  __a  (					lowerCAmelCase_     :      Optional[Any]       )   ->				Any:
  
  
  
  
  
  
  						'''simple docstring'''
  
  
  
  						UpperCAmelCase_=     {}
  						for _, item in enumerate(lowerCAmelCase_       ):
  												nodes.setdefault(item[2]    ,[]       ).append(item[0]       )
  						return nodes
  
  
  
  def  __a  (					lowerCAmelCase_     :      Dict       )   ->				Tuple:
  
  
  
  
  
  
  						'''simple docstring'''
  
  
  
  						UpperCAmelCase_=     {}
  						for key, value in nodes.items():
  												UpperCAmelCase_=     value
  						return cluster
  
  
  
  def  __a  (					lowerCAmelCase_     :      Optional[int]       )   ->				str:
  
  
  
  
  
  
  						'''simple docstring'''
  
  
  
  						return [i * 1_00 / len(lowerCAmelCase_       ) for i in cluster]
  
  
  
  def  __a  (					)   ->				None:
  
  
  
  
  
  
  						'''simple docstring'''
  
  
  
  						print("""\nNodes\n"""       )
  						for key, value in nodes.items():
  												print(lowerCAmelCase_    ,lowerCAmelCase_       )
  						print("""\nSupport\n"""       )
  						print(lowerCAmelCase_       )
  						print("""\n Cluster \n"""       )
  						for key, value in sorted(cluster.items()    ,reverse=lowerCAmelCase_       ):
  												print(lowerCAmelCase_    ,lowerCAmelCase_       )
  						print("""\n Graph\n"""       )
  						for key, value in graph.items():
  												print(lowerCAmelCase_    ,lowerCAmelCase_       )
  						print("""\n Edge List of Frequent subgraphs \n"""       )
  						for edge_list in freq_subgraph_edge_list:
  												print(lowerCAmelCase_       )
  
  
  
  def  __a  (					lowerCAmelCase_     :      Any    ,lowerCAmelCase_     :      List[str]    ,lowerCAmelCase_     :      Optional[int]    ,lowerCAmelCase_     :      int       )   ->				Union[str, Any]:
  
  
  
  
  
  
  						'''simple docstring'''
  
  
  
  						for i in cluster[ca]:
  												UpperCAmelCase_=     0
  												UpperCAmelCase_=     ca + 1
  												while ca < max(cluster.keys()       ):
  																		for j in cluster[ca]:
  																								if int(lowerCAmelCase_    ,2       ) & int(lowerCAmelCase_    ,2       ) == int(lowerCAmelCase_    ,2       ):
  																														if tuple(nodes[i]       ) in graph:
  																																				graph[tuple(nodes[i]       )].append(nodes[j]       )
  																														else:
  																																				UpperCAmelCase_=     [nodes[j]]
  																														count += 1
  																		if count == 0:
  																								UpperCAmelCase_=     ca + 1
  																		else:
  																								break
  
  
  
  def  __a  (					lowerCAmelCase_     :      int    ,lowerCAmelCase_     :      List[str]       )   ->				Any:
  
  
  
  
  
  
  						'''simple docstring'''
  
  
  
  						UpperCAmelCase_=     cluster[max(cluster.keys()       )]
  						UpperCAmelCase_=     """Header"""
  						UpperCAmelCase_=     {}
  						for i in x:
  												if (["Header"],) in graph:
  																		graph[(["Header"],)].append(x[i]       )
  												else:
  																		UpperCAmelCase_=     [x[i]]
  						for i in x:
  												UpperCAmelCase_=     [["""Header"""]]
  						UpperCAmelCase_=     1
  						while i < max(lowerCAmelCase_       ) - 1:
  												create_edge(lowerCAmelCase_    ,lowerCAmelCase_    ,lowerCAmelCase_    ,lowerCAmelCase_       )
  												UpperCAmelCase_=     i + 1
  						return graph
  
  
  
  def  __a  (					lowerCAmelCase_     :      Optional[int]    ,lowerCAmelCase_     :      List[Any]    ,lowerCAmelCase_     :      Dict    ,lowerCAmelCase_     :      Optional[Any]=None       )   ->				Tuple:
  
  
  
  
  
  
  						'''simple docstring'''
  
  
  
  						UpperCAmelCase_=     (path or []) + [start]
  						if start == end:
  												paths.append(lowerCAmelCase_       )
  						for node in graph[start]:
  												if tuple(lowerCAmelCase_       ) not in path:
  																		my_dfs(lowerCAmelCase_    ,tuple(lowerCAmelCase_       )    ,lowerCAmelCase_    ,lowerCAmelCase_       )
  
  
  
  def  __a  (					lowerCAmelCase_     :      Optional[int]    ,lowerCAmelCase_     :      List[Any]    ,lowerCAmelCase_     :      Tuple       )   ->				Tuple:
  
  
  
  
  
  
  						'''simple docstring'''
  
  
  
  						UpperCAmelCase_=     int(s / 1_00 * (len(lowerCAmelCase_       ) - 1)       )
  						for i in cluster[k]:
  												my_dfs(lowerCAmelCase_    ,tuple(cluster[k][i]       )    ,(["""Header"""],)       )
  
  
  
  def  __a  (					lowerCAmelCase_     :      Any       )   ->				Optional[Any]:
  
  
  
  
  
  
  						'''simple docstring'''
  
  
  
  						UpperCAmelCase_=     []
  						for edges in paths:
  												UpperCAmelCase_=     []
  												for j in range(len(lowerCAmelCase_       ) - 1       ):
  																		UpperCAmelCase_=     list(edges[j]       )
  																		for e in temp:
  																								UpperCAmelCase_=     (e[0], e[1])
  																								el.append(lowerCAmelCase_       )
  												freq_sub_el.append(lowerCAmelCase_       )
  						return freq_sub_el
  
  
  
  def  __a  (					lowerCAmelCase_     :      str       )   ->				Tuple:
  
  
  
  
  
  
  						'''simple docstring'''
  
  
  
  						for i in range(len(lowerCAmelCase_       )       ):
  												for j in range(len(edge_array[i]       )       ):
  																		UpperCAmelCase_=     edge_array[i][j].split("""-"""       )
  																		UpperCAmelCase_=     t
  
  
  if __name__ == "__main__":
  	preprocess(edge_array)
  	__A       					=		get_frequency_table(edge_array)
  	__A       					=		get_nodes(frequency_table)
  	__A       					=		get_cluster(nodes)
  	__A       					=		get_support(cluster)
  	__A       					=		construct_graph(cluster, nodes)
  	find_freq_subgraph_given_support(60, cluster, graph)
  	__A       					=		[]
  	__A       					=		freq_subgraphs_edge_list(paths)
  	print_all()
  
  
  
  
  
style_context: 
  
  
  
  from ...configuration_utils import PretrainedConfig
  from ...utils import logging
  
  
  __A       					=		logging.get_logger(__name__)
  
  __A       					=		{
      '''ZinengTang/tvlt-base''': '''https://huggingface.co/ZinengTang/tvlt-base/blob/main/config.json''',
  }
  
  
  
  
  
  
  class 	lowercase		(				snake_case__):
  
  
  
  
  
  
  	"""simple docstring"""
  
  
  	a__   :      Tuple	     =							"tvlt"
  
  
  
  
  	def __init__(			self			:		List[str]		,						__UpperCAmelCase			:		List[str]=224		,						__UpperCAmelCase			:		List[str]=2_048		,						__UpperCAmelCase			:		Tuple=128		,						__UpperCAmelCase			:		Union[str, Any]=[16, 16]		,						__UpperCAmelCase			:		str=[16, 16]		,						__UpperCAmelCase			:		str=3		,						__UpperCAmelCase			:		List[str]=1		,						__UpperCAmelCase			:		Tuple=8		,						__UpperCAmelCase			:		Optional[Any]=768		,						__UpperCAmelCase			:		List[Any]=12		,						__UpperCAmelCase			:		Tuple=12		,						__UpperCAmelCase			:		List[str]=3_072		,						__UpperCAmelCase			:		List[Any]="gelu"		,						__UpperCAmelCase			:		str=0.0		,						__UpperCAmelCase			:		str=0.0		,						__UpperCAmelCase			:		List[Any]=0.02		,						__UpperCAmelCase			:		Optional[int]=1E-6		,						__UpperCAmelCase			:		Tuple=True		,						__UpperCAmelCase			:		List[Any]=False		,						__UpperCAmelCase			:		Union[str, Any]=16		,						__UpperCAmelCase			:		Any=512		,						__UpperCAmelCase			:		Optional[Any]=8		,						__UpperCAmelCase			:		Dict=2_048		,						__UpperCAmelCase			:		Dict=0.75		,						__UpperCAmelCase			:		Union[str, Any]=0.15		,						__UpperCAmelCase			:		Any="frame-level"		,						__UpperCAmelCase			:		int=True		,						__UpperCAmelCase			:		List[Any]=True		,						__UpperCAmelCase			:		Union[str, Any]="classification"		,						**__UpperCAmelCase			:		Any		,						)    ->				Tuple:
  							super().__init__(**__UpperCAmelCase  )
  
  							if audio_mask_type not in ("frame-level", "patch_level"):
  													raise ValueError(
  													    """audio_mask_type must be one of two acceptable strategies - {'frame_level', 'patch-level') """
  													    F"""got {audio_mask_type}"""  )
  
  							UpperCAmelCase_=     image_size
  							UpperCAmelCase_=     spectrogram_length
  							UpperCAmelCase_=     frequency_length
  							UpperCAmelCase_=     image_patch_size
  							UpperCAmelCase_=     audio_patch_size
  							UpperCAmelCase_=     num_image_channels
  							UpperCAmelCase_=     num_audio_channels
  							UpperCAmelCase_=     num_frames
  
  							UpperCAmelCase_=     hidden_size
  							UpperCAmelCase_=     num_hidden_layers
  							UpperCAmelCase_=     num_attention_heads
  							UpperCAmelCase_=     intermediate_size
  							UpperCAmelCase_=     hidden_act
  							UpperCAmelCase_=     hidden_dropout_prob
  							UpperCAmelCase_=     attention_probs_dropout_prob
  							UpperCAmelCase_=     initializer_range
  							UpperCAmelCase_=     layer_norm_eps
  							UpperCAmelCase_=     qkv_bias
  							UpperCAmelCase_=     use_mean_pooling
  
  							UpperCAmelCase_=     decoder_num_attention_heads
  							UpperCAmelCase_=     decoder_hidden_size
  							UpperCAmelCase_=     decoder_num_hidden_layers
  							UpperCAmelCase_=     decoder_intermediate_size
  							UpperCAmelCase_=     pixel_mask_ratio
  							UpperCAmelCase_=     audio_mask_ratio
  							UpperCAmelCase_=     audio_mask_type
  
  							UpperCAmelCase_=     task_matching
  							UpperCAmelCase_=     task_mae
  							UpperCAmelCase_=     loss_type
  
  
  
  
  