

import torch

from transformers import AutoTokenizer



class 						a_			(				lowerCamelCase_	):



      """simple docstring"""







      def __init__( self	:				Tuple     ,snake_case	:				List[Any]							):
           SCREAMING_SNAKE_CASE 		=AutoTokenizer.from_pretrained(snake_case							)
      def 			_lowerCAmelCase	( self	:				Tuple     ,snake_case	:				Optional[int]							):

           if isinstance(snake_case     ,snake_case							) and all(isinstance(_x     ,snake_case							) for _x in x							):
                SCREAMING_SNAKE_CASE 		=None
                for l in x:
                     SCREAMING_SNAKE_CASE 		=self.tokenizer(
                         snake_case     ,padding='max_length'     ,max_length=384     ,truncation=snake_case     ,return_tensors='pt'     ,)
                     SCREAMING_SNAKE_CASE 		=torch.tensor([len(snake_case							)]							)
                     if d is not None:
                          for k in d.keys():
                               SCREAMING_SNAKE_CASE 		=torch.cat((d[k], t[k])     ,0							)
                     else:
                          SCREAMING_SNAKE_CASE 		=t

                SCREAMING_SNAKE_CASE 		=torch.tensor(self.tokenizer.convert_tokens_to_ids('[E]'							)							)
                SCREAMING_SNAKE_CASE 		=torch.tensor(self.tokenizer.convert_tokens_to_ids('[/E]'							)							)

           elif isinstance(snake_case     ,snake_case							) and all(isinstance(_x     ,snake_case							) for _x in x							):
                SCREAMING_SNAKE_CASE 		=self.tokenizer(
                    snake_case     ,padding='max_length'     ,max_length=384     ,truncation=snake_case     ,return_tensors='pt'     ,)

           else:
                raise Exception(
                    'Type of parameter x was not recognized! Only `list of strings` for query or `list of lists of'
                    ' strings` for supports are supported.'							)

           return d


      def 			_lowerCAmelCase	( self	:				Optional[Any]     ,snake_case	:				int     ,snake_case	:				List[str]     ,snake_case	:				Any     ,snake_case	:				Union[str, Any]     ,snake_case	:				Union[str, Any]=0.70							):
           SCREAMING_SNAKE_CASE 		=[]
           for idx in range(len(W_query['input_ids']							)							):
                SCREAMING_SNAKE_CASE 		=SCREAMING_SNAKE_CASE 		=range(p_start.shape[1]							)

                SCREAMING_SNAKE_CASE 		=[]
                for start_id in start_indexes:
                     for end_id in end_indexes:
                          if start_id < end_id:
                               output.append(
                                   (
                                       start_id,
                                       end_id,
                                       p_start[idx][start_id].item(),
                                       p_end[idx][end_id].item(),
                                   )							)

                output.sort(key=lambda snake_case							: (tup[2] * tup[3])     ,reverse=snake_case							)
                SCREAMING_SNAKE_CASE 		=[]
                for k in range(len(snake_case							)							):
                     if output[k][2] * output[k][3] >= thresh:
                          SCREAMING_SNAKE_CASE		,    SCREAMING_SNAKE_CASE 		=output[k][0], output[k][1]
                          SCREAMING_SNAKE_CASE 		=self.tokenizer.decode(W_query['input_ids'][idx][c_start_pos:c_end_pos]							)
                          temp.append((decoded, output[k][2] * output[k][3])							)

                final_outputs.append(snake_case							)

           return final_outputs




_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      snake_case__							(  lowerCAmelCase_     ):





     """simple docstring"""







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







def      snake_case__							(  lowerCAmelCase_,       lowerCAmelCase_     ):





     """simple docstring"""







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







def      snake_case__							(  lowerCAmelCase_     ):





     """simple docstring"""







     SCREAMING_SNAKE_CASE 		=get_distinct_edge(lowerCAmelCase_     )
     SCREAMING_SNAKE_CASE 		={}

     for item in distinct_edge:
          SCREAMING_SNAKE_CASE 		=get_bitcode(lowerCAmelCase_,       lowerCAmelCase_     )
          # print('bit',bit)
          # bt=''.join(bit)
          SCREAMING_SNAKE_CASE 		=bit.count('1'     )
          SCREAMING_SNAKE_CASE 		=[s, bit]
     # Store [Distinct edge, WT(Bitcode), Bitcode] in descending order
     SCREAMING_SNAKE_CASE 		=[
         [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      snake_case__							(  lowerCAmelCase_     ):





     """simple docstring"""







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







def      snake_case__							(  lowerCAmelCase_     ):





     """simple docstring"""







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







def      snake_case__							(  lowerCAmelCase_     ):





     """simple docstring"""







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







def      snake_case__							(  ):





     """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      snake_case__							(  lowerCAmelCase_,       lowerCAmelCase_,       lowerCAmelCase_,       lowerCAmelCase_     ):





     """simple docstring"""







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







def      snake_case__							(  lowerCAmelCase_,       lowerCAmelCase_     ):





     """simple docstring"""







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







def      snake_case__							(  lowerCAmelCase_,       lowerCAmelCase_,       lowerCAmelCase_,       lowerCAmelCase_=None     ):





     """simple docstring"""







     SCREAMING_SNAKE_CASE 		=(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      snake_case__							(  lowerCAmelCase_,       lowerCAmelCase_,       lowerCAmelCase_     ):





     """simple docstring"""







     SCREAMING_SNAKE_CASE 		=int(s / 100 * (len(lowerCAmelCase_     ) - 1)     )
     for i in cluster[k]:
          my_dfs(lowerCAmelCase_,       tuple(cluster[k][i]     ),       (['Header'],)     )







def      snake_case__							(  lowerCAmelCase_     ):





     """simple docstring"""







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







def      snake_case__							(  lowerCAmelCase_     ):





     """simple docstring"""







     for i in range(len(lowerCAmelCase_     )     ):
          for j in range(len(edge_array[i]     )     ):
               SCREAMING_SNAKE_CASE 		=edge_array[i][j].split('-'     )
               SCREAMING_SNAKE_CASE 		=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()

