


"""simple docstring"""






UpperCamelCase__							: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 							A_					(   snake_case__		)				->     Dict:
			_UpperCamelCase				:Dict				    =  set()
			for row in edge_array:
						for item in row:
									distinct_edge.add(item[0]		)
			return list(_SCREAMING_SNAKE_CASE		)





def 							A_					(   snake_case__					,				snake_case__		)				->     Dict:
			_UpperCamelCase				: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]:
												_UpperCamelCase				:Optional[Any]				    =  '1'
												break
			return "".join(_SCREAMING_SNAKE_CASE		)





def 							A_					(   snake_case__		)				->     Any:
			_UpperCamelCase				:Any				    =  get_distinct_edge(_SCREAMING_SNAKE_CASE		)
			_UpperCamelCase				:Any				    =  {}

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





def 							A_					(   snake_case__		)				->     Any:
			_UpperCamelCase				:str				    =  {}
			for _, item in enumerate(_SCREAMING_SNAKE_CASE		):
						nodes.setdefault(item[2]					,				[]		).append(item[0]		)
			return nodes





def 							A_					(   snake_case__		)				->     Optional[int]:
			_UpperCamelCase				:List[str]				    =  {}
			for key, value in nodes.items():
						_UpperCamelCase				:Dict				    =  value
			return cluster





def 							A_					(   snake_case__		)				->     Any:
			return [i * 1_00 / len(_SCREAMING_SNAKE_CASE		) for i in cluster]





def 							A_					(   )				->     Optional[int]:
			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 							A_					(   snake_case__					,				snake_case__					,				snake_case__					,				snake_case__		)				->     Union[str, Any]:
			for i in cluster[ca]:
						_UpperCamelCase				:Tuple				    =  0
						_UpperCamelCase				: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:
																		_UpperCamelCase				:List[str]				    =  [nodes[j]]
															count += 1
									if count == 0:
												_UpperCamelCase				:Union[str, Any]				    =  ca + 1
									else:
												break





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





def 							A_					(   snake_case__					,				snake_case__					,				snake_case__					,				snake_case__=None		)				->     Optional[Any]:
			_UpperCamelCase				: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 							A_					(   snake_case__					,				snake_case__					,				snake_case__		)				->     int:
			_UpperCamelCase				:int				    =  int(s / 1_00 * (len(_SCREAMING_SNAKE_CASE		) - 1)		)
			for i in cluster[k]:
						my_dfs(_SCREAMING_SNAKE_CASE					,				tuple(cluster[k][i]		)					,				(['''Header'''],)		)





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





def 							A_					(   snake_case__		)				->     Union[str, Any]:
			for i in range(len(_SCREAMING_SNAKE_CASE		)		):
						for j in range(len(edge_array[i]		)		):
									_UpperCamelCase				:Any				    =  edge_array[i][j].split('''-'''		)
									_UpperCamelCase				:Union[str, Any]				    =  t


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





"""simple docstring"""






from dataclasses import dataclass
from typing import List, Optional, Union

import numpy as np
import PIL

from ...utils import BaseOutput, is_invisible_watermark_available, is_torch_available, is_transformers_available






@dataclass
class     A(     lowerCamelCase__		):

		"""simple docstring"""





		A         =       42


if is_transformers_available() and is_torch_available() and is_invisible_watermark_available():
					from .pipeline_stable_diffusion_xl import StableDiffusionXLPipeline
					from .pipeline_stable_diffusion_xl_imgaimg import StableDiffusionXLImgaImgPipeline

