



__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()









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




