





"""simple docstring"""


lowerCamelCase__      =      [
    ["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     lowercase__			(    lowercase_	)    ->						Tuple:




      """simple docstring"""

      _UpperCamelCase					:		int  =				set()
      for row in edge_array:
            for item in row:
                  distinct_edge.add(item[0]	)
      return list(__A	)




def     lowercase__			(    lowercase_						,lowercase_	)    ->						Tuple:




      """simple docstring"""

      _UpperCamelCase					:		Optional[int]  =				["""0"""] * len(__A	)
      for i, row in enumerate(__A	):
            for item in row:
                  if distinct_edge in item[0]:
                        _UpperCamelCase					:		Union[str, Any]  =				"""1"""
                        break
      return "".join(__A	)




def     lowercase__			(    lowercase_	)    ->						List[str]:




      """simple docstring"""

      _UpperCamelCase					:		Dict  =				get_distinct_edge(__A	)
      _UpperCamelCase					:		Union[str, Any]  =				{}

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




def     lowercase__			(    lowercase_	)    ->						Dict:




      """simple docstring"""

      _UpperCamelCase					:		Optional[Any]  =				{}
      for _, item in enumerate(__A	):
            nodes.setdefault(item[2]						,[]	).append(item[0]	)
      return nodes




def     lowercase__			(    lowercase_	)    ->						Union[str, Any]:




      """simple docstring"""

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




def     lowercase__			(    lowercase_	)    ->						List[str]:




      """simple docstring"""

      return [i * 100 / len(__A	) for i in cluster]




def     lowercase__			(    )    ->						None:




      """simple docstring"""

      print("\nNodes\n"	)
      for key, value in nodes.items():
            print(__A						,__A	)
      print("\nSupport\n"	)
      print(__A	)
      print("\n Cluster \n"	)
      for key, value in sorted(cluster.items()						,reverse=__A	):
            print(__A						,__A	)
      print("\n Graph\n"	)
      for key, value in graph.items():
            print(__A						,__A	)
      print("\n Edge List of Frequent subgraphs \n"	)
      for edge_list in freq_subgraph_edge_list:
            print(__A	)




def     lowercase__			(    lowercase_						,lowercase_						,lowercase_						,lowercase_	)    ->						str:




      """simple docstring"""

      for i in cluster[ca]:
            _UpperCamelCase					:		Tuple  =				0
            _UpperCamelCase					:		Optional[int]  =				ca + 1
            while ca < max(cluster.keys()	):
                  for j in cluster[ca]:
                        if int(__A						,2	) & int(__A						,2	) == int(__A						,2	):
                              if tuple(nodes[i]	) in graph:
                                    graph[tuple(nodes[i]	)].append(nodes[j]	)
                              else:
                                    _UpperCamelCase					:		Any  =				[nodes[j]]
                              count += 1
                  if count == 0:
                        _UpperCamelCase					:		List[str]  =				ca + 1
                  else:
                        break




def     lowercase__			(    lowercase_						,lowercase_	)    ->						Optional[Any]:




      """simple docstring"""

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




def     lowercase__			(    lowercase_						,lowercase_						,lowercase_						,lowercase_=None	)    ->						Any:




      """simple docstring"""

      _UpperCamelCase					:		str  =				(path or []) + [start]
      if start == end:
            paths.append(__A	)
      for node in graph[start]:
            if tuple(__A	) not in path:
                  my_dfs(__A						,tuple(__A	)						,__A						,__A	)




def     lowercase__			(    lowercase_						,lowercase_						,lowercase_	)    ->						List[str]:




      """simple docstring"""

      _UpperCamelCase					:		Union[str, Any]  =				int(s / 100 * (len(__A	) - 1)	)
      for i in cluster[k]:
            my_dfs(__A						,tuple(cluster[k][i]	)						,(["Header"],)	)




def     lowercase__			(    lowercase_	)    ->						Tuple:




      """simple docstring"""

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




def     lowercase__			(    lowercase_	)    ->						Any:




      """simple docstring"""

      for i in range(len(__A	)	):
            for j in range(len(edge_array[i]	)	):
                  _UpperCamelCase					:		Union[str, Any]  =				edge_array[i][j].split("-"	)
                  _UpperCamelCase					:		List[str]  =				t


if __name__ == "__main__":
  preprocess(edge_array)
  lowerCamelCase__      =      get_frequency_table(edge_array)
  lowerCamelCase__      =      get_nodes(frequency_table)
  lowerCamelCase__      =      get_cluster(nodes)
  lowerCamelCase__      =      get_support(cluster)
  lowerCamelCase__      =      construct_graph(cluster, nodes)
  find_freq_subgraph_given_support(60, cluster, graph)
  lowerCamelCase__      =      []
  lowerCamelCase__      =      freq_subgraphs_edge_list(paths)
  print_all()



from .prime_check import Test

Test()


