code: 
  
  
  lowercase_								=    [
      ['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 							SCREAMING_SNAKE_CASE					(  _UpperCAmelCase				)    ->  List[str]:
  						_a     =			set()
  						for row in edge_array:
  												for item in row:
  																		distinct_edge.add(item[0]				)
  						return list(_UpperCAmelCase				)
  
  
  def 							SCREAMING_SNAKE_CASE					(  _UpperCAmelCase		,     _UpperCAmelCase				)    ->  Tuple:
  						_a     =			['0'] * len(_UpperCAmelCase				)
  						for i, row in enumerate(_UpperCAmelCase				):
  												for item in row:
  																		if distinct_edge in item[0]:
  																								_a     =			'1'
  																								break
  						return "".join(_UpperCAmelCase				)
  
  
  def 							SCREAMING_SNAKE_CASE					(  _UpperCAmelCase				)    ->  int:
  						_a     =			get_distinct_edge(_UpperCAmelCase				)
  						_a     =			{}
  
  						for item in distinct_edge:
  												_a     =			get_bitcode(_UpperCAmelCase		,     _UpperCAmelCase				)
  												# print('bit',bit)
  												# bt=''.join(bit)
  												_a     =			bit.count('1'				)
  												_a     =			[s, bit]
  						# Store [Distinct edge, WT(Bitcode), Bitcode] in descending order
  						_a     =			[
  						    [k, v[0], v[1]]
  						    for k, v in sorted(frequency_table.items()		,     key=lambda _UpperCAmelCase				: v[1][0]		,     reverse=_UpperCAmelCase				)
  						]
  						return sorted_frequency_table
  
  
  def 							SCREAMING_SNAKE_CASE					(  _UpperCAmelCase				)    ->  Union[str, Any]:
  						_a     =			{}
  						for _, item in enumerate(_UpperCAmelCase				):
  												nodes.setdefault(item[2]		,     []				).append(item[0]				)
  						return nodes
  
  
  def 							SCREAMING_SNAKE_CASE					(  _UpperCAmelCase				)    ->  Optional[int]:
  						_a     =			{}
  						for key, value in nodes.items():
  												_a     =			value
  						return cluster
  
  
  def 							SCREAMING_SNAKE_CASE					(  _UpperCAmelCase				)    ->  Tuple:
  						return [i * 100 / len(_UpperCAmelCase				) for i in cluster]
  
  
  def 							SCREAMING_SNAKE_CASE					(  )    ->  None:
  						print('\nNodes\n'				)
  						for key, value in nodes.items():
  												print(_UpperCAmelCase		,     _UpperCAmelCase				)
  						print('\nSupport\n'				)
  						print(_UpperCAmelCase				)
  						print('\n Cluster \n'				)
  						for key, value in sorted(cluster.items()		,     reverse=_UpperCAmelCase				):
  												print(_UpperCAmelCase		,     _UpperCAmelCase				)
  						print('\n Graph\n'				)
  						for key, value in graph.items():
  												print(_UpperCAmelCase		,     _UpperCAmelCase				)
  						print('\n Edge List of Frequent subgraphs \n'				)
  						for edge_list in freq_subgraph_edge_list:
  												print(_UpperCAmelCase				)
  
  
  def 							SCREAMING_SNAKE_CASE					(  _UpperCAmelCase		,     _UpperCAmelCase		,     _UpperCAmelCase		,     _UpperCAmelCase				)    ->  Any:
  						for i in cluster[ca]:
  												_a     =			0
  												_a     =			ca + 1
  												while ca < max(cluster.keys()				):
  																		for j in cluster[ca]:
  																								if int(_UpperCAmelCase		,     2				) & int(_UpperCAmelCase		,     2				) == int(_UpperCAmelCase		,     2				):
  																														if tuple(nodes[i]				) in graph:
  																																				graph[tuple(nodes[i]				)].append(nodes[j]				)
  																														else:
  																																				_a     =			[nodes[j]]
  																														count += 1
  																		if count == 0:
  																								_a     =			ca + 1
  																		else:
  																								break
  
  
  def 							SCREAMING_SNAKE_CASE					(  _UpperCAmelCase		,     _UpperCAmelCase				)    ->  Tuple:
  						_a     =			cluster[max(cluster.keys()				)]
  						_a     =			'Header'
  						_a     =			{}
  						for i in x:
  												if (["Header"],) in graph:
  																		graph[(["Header"],)].append(x[i]				)
  												else:
  																		_a     =			[x[i]]
  						for i in x:
  												_a     =			[['Header']]
  						_a     =			1
  						while i < max(_UpperCAmelCase				) - 1:
  												create_edge(_UpperCAmelCase		,     _UpperCAmelCase		,     _UpperCAmelCase		,     _UpperCAmelCase				)
  												_a     =			i + 1
  						return graph
  
  
  def 							SCREAMING_SNAKE_CASE					(  _UpperCAmelCase		,     _UpperCAmelCase		,     _UpperCAmelCase		,     _UpperCAmelCase=None				)    ->  int:
  						_a     =			(path or []) + [start]
  						if start == end:
  												paths.append(_UpperCAmelCase				)
  						for node in graph[start]:
  												if tuple(_UpperCAmelCase				) not in path:
  																		my_dfs(_UpperCAmelCase		,     tuple(_UpperCAmelCase				)		,     _UpperCAmelCase		,     _UpperCAmelCase				)
  
  
  def 							SCREAMING_SNAKE_CASE					(  _UpperCAmelCase		,     _UpperCAmelCase		,     _UpperCAmelCase				)    ->  Tuple:
  						_a     =			int(s / 100 * (len(_UpperCAmelCase				) - 1)				)
  						for i in cluster[k]:
  												my_dfs(_UpperCAmelCase		,     tuple(cluster[k][i]				)		,     (['Header'],)				)
  
  
  def 							SCREAMING_SNAKE_CASE					(  _UpperCAmelCase				)    ->  str:
  						_a     =			[]
  						for edges in paths:
  												_a     =			[]
  												for j in range(len(_UpperCAmelCase				) - 1				):
  																		_a     =			list(edges[j]				)
  																		for e in temp:
  																								_a     =			(e[0], e[1])
  																								el.append(_UpperCAmelCase				)
  												freq_sub_el.append(_UpperCAmelCase				)
  						return freq_sub_el
  
  
  def 							SCREAMING_SNAKE_CASE					(  _UpperCAmelCase				)    ->  Union[str, Any]:
  						for i in range(len(_UpperCAmelCase				)				):
  												for j in range(len(edge_array[i]				)				):
  																		_a     =			edge_array[i][j].split('-'				)
  																		_a     =			t
  
  
  if __name__ == "__main__":
  		preprocess(edge_array)
  		lowercase_								=    get_frequency_table(edge_array)
  		lowercase_								=    get_nodes(frequency_table)
  		lowercase_								=    get_cluster(nodes)
  		lowercase_								=    get_support(cluster)
  		lowercase_								=    construct_graph(cluster, nodes)
  		find_freq_subgraph_given_support(60, cluster, graph)
  		lowercase_								=    []
  		lowercase_								=    freq_subgraphs_edge_list(paths)
  		print_all()
  
  
  
style_context: 
  
  
  from .chunk_utils import chunk_layer
  from .data_transforms import make_atomaa_masks
  from .feats import atomaa_to_atomaa, frames_and_literature_positions_to_atomaa_pos, torsion_angles_to_frames
  from .loss import compute_predicted_aligned_error, compute_tm
  from .protein import Protein as OFProtein
  from .protein import to_pdb
  from .rigid_utils import Rigid, Rotation
  from .tensor_utils import dict_multimap, flatten_final_dims, permute_final_dims
  
  
  