




__SCREAMING_SNAKE_CASE			:      List[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_	(     lowerCamelCase:				List[Any]  )    ->	int:


      '''simple docstring'''




      lowerCamelCase__					     = set()
      for row in edge_array:
            for item in row:
                  distinct_edge.add(item[0]  )
      return list(UpperCamelCase_  )

def 	lowerCAmelCase_	(     lowerCamelCase:				Any   , lowerCamelCase:				Union[str, Any]  )    ->	int:


      '''simple docstring'''




      lowerCamelCase__					     = ['0'] * len(UpperCamelCase_  )
      for i, row in enumerate(UpperCamelCase_  ):
            for item in row:
                  if distinct_edge in item[0]:
                        lowerCamelCase__					     = '1'
                        break
      return "".join(UpperCamelCase_  )

def 	lowerCAmelCase_	(     lowerCamelCase:				List[str]  )    ->	Optional[Any]:


      '''simple docstring'''




      lowerCamelCase__					     = get_distinct_edge(UpperCamelCase_  )
      lowerCamelCase__					     = {}

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

def 	lowerCAmelCase_	(     lowerCamelCase:				str  )    ->	int:


      '''simple docstring'''




      lowerCamelCase__					     = {}
      for _, item in enumerate(UpperCamelCase_  ):
            nodes.setdefault(item[2]   , []  ).append(item[0]  )
      return nodes

def 	lowerCAmelCase_	(     lowerCamelCase:				int  )    ->	Dict:


      '''simple docstring'''




      lowerCamelCase__					     = {}
      for key, value in nodes.items():
            lowerCamelCase__					     = value
      return cluster

def 	lowerCAmelCase_	(     lowerCamelCase:				Union[str, Any]  )    ->	List[str]:


      '''simple docstring'''




      return [i * 1_00 / len(UpperCamelCase_  ) for i in cluster]

def 	lowerCAmelCase_	(     )    ->	None:


      '''simple docstring'''




      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 	lowerCAmelCase_	(     lowerCamelCase:				int   , lowerCamelCase:				Optional[int]   , lowerCamelCase:				Dict   , lowerCamelCase:				Tuple  )    ->	Union[str, Any]:


      '''simple docstring'''




      for i in cluster[ca]:
            lowerCamelCase__					     = 0
            lowerCamelCase__					     = 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:
                                    lowerCamelCase__					     = [nodes[j]]
                              count += 1
                  if count == 0:
                        lowerCamelCase__					     = ca + 1
                  else:
                        break

def 	lowerCAmelCase_	(     lowerCamelCase:				Optional[int]   , lowerCamelCase:				Union[str, Any]  )    ->	List[str]:


      '''simple docstring'''




      lowerCamelCase__					     = cluster[max(cluster.keys()  )]
      lowerCamelCase__					     = 'Header'
      lowerCamelCase__					     = {}
      for i in x:
            if (["Header"],) in graph:
                  graph[(["Header"],)].append(x[i]  )
            else:
                  lowerCamelCase__					     = [x[i]]
      for i in x:
            lowerCamelCase__					     = [['Header']]
      lowerCamelCase__					     = 1
      while i < max(UpperCamelCase_  ) - 1:
            create_edge(UpperCamelCase_   , UpperCamelCase_   , UpperCamelCase_   , UpperCamelCase_  )
            lowerCamelCase__					     = i + 1
      return graph

def 	lowerCAmelCase_	(     lowerCamelCase:				List[Any]   , lowerCamelCase:				Dict   , lowerCamelCase:				str   , lowerCamelCase:				Optional[Any]=None  )    ->	List[str]:


      '''simple docstring'''




      lowerCamelCase__					     = (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 	lowerCAmelCase_	(     lowerCamelCase:				int   , lowerCamelCase:				List[str]   , lowerCamelCase:				str  )    ->	Dict:


      '''simple docstring'''




      lowerCamelCase__					     = int(s / 1_00 * (len(UpperCamelCase_  ) - 1)  )
      for i in cluster[k]:
            my_dfs(UpperCamelCase_   , tuple(cluster[k][i]  )   , (['Header'],)  )

def 	lowerCAmelCase_	(     lowerCamelCase:				Optional[int]  )    ->	Dict:


      '''simple docstring'''




      lowerCamelCase__					     = []
      for edges in paths:
            lowerCamelCase__					     = []
            for j in range(len(UpperCamelCase_  ) - 1  ):
                  lowerCamelCase__					     = list(edges[j]  )
                  for e in temp:
                        lowerCamelCase__					     = (e[0], e[1])
                        el.append(UpperCamelCase_  )
            freq_sub_el.append(UpperCamelCase_  )
      return freq_sub_el

def 	lowerCAmelCase_	(     lowerCamelCase:				Union[str, Any]  )    ->	Any:


      '''simple docstring'''




      for i in range(len(UpperCamelCase_  )  ):
            for j in range(len(edge_array[i]  )  ):
                  lowerCamelCase__					     = edge_array[i][j].split('-'  )
                  lowerCamelCase__					     = t


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







from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__snake_case			:			Optional[int]			   =   {"""configuration_sew_d""": ["""SEW_D_PRETRAINED_CONFIG_ARCHIVE_MAP""", """SEWDConfig"""]}

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					__snake_case			:			List[Any]			   =   [
					    """SEW_D_PRETRAINED_MODEL_ARCHIVE_LIST""",
					    """SEWDForCTC""",
					    """SEWDForSequenceClassification""",
					    """SEWDModel""",
					    """SEWDPreTrainedModel""",
					]

if TYPE_CHECKING:
					from .configuration_sew_d import SEW_D_PRETRAINED_CONFIG_ARCHIVE_MAP, SEWDConfig

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_sew_d import (
										    SEW_D_PRETRAINED_MODEL_ARCHIVE_LIST,
										    SEWDForCTC,
										    SEWDForSequenceClassification,
										    SEWDModel,
										    SEWDPreTrainedModel,
										)


else:
					import sys

					__snake_case			:			Dict			   =   _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)





