code: 
  
  
  
  
  
  
  from collections import OrderedDict
  from typing import Mapping
  
  from ...configuration_utils import PretrainedConfig
  from ...onnx import OnnxConfig
  from ...utils import logging
  
  
  __snake_case							      =						logging.get_logger(__name__)
  
  __snake_case							      =						{
      """squeezebert/squeezebert-uncased""": (
          """https://huggingface.co/squeezebert/squeezebert-uncased/resolve/main/config.json"""
      ),
      """squeezebert/squeezebert-mnli""": """https://huggingface.co/squeezebert/squeezebert-mnli/resolve/main/config.json""",
      """squeezebert/squeezebert-mnli-headless""": (
          """https://huggingface.co/squeezebert/squeezebert-mnli-headless/resolve/main/config.json"""
      ),
  }
  
  
  
  
  
  
  
  class     UpperCAmelCase_		(      lowercase				):
  
  
  
        """simple docstring"""
        UpperCamelCase_       :      Tuple     =SQUEEZEBERT_PRETRAINED_CONFIG_ARCHIVE_MAP
        UpperCamelCase_       :      List[Any]     ='squeezebert'
        def __init__(       self					,       SCREAMING_SNAKE_CASE_=3_0522					,       SCREAMING_SNAKE_CASE_=768					,       SCREAMING_SNAKE_CASE_=12					,       SCREAMING_SNAKE_CASE_=12					,       SCREAMING_SNAKE_CASE_=3072					,       SCREAMING_SNAKE_CASE_="gelu"					,       SCREAMING_SNAKE_CASE_=0.1					,       SCREAMING_SNAKE_CASE_=0.1					,       SCREAMING_SNAKE_CASE_=512					,       SCREAMING_SNAKE_CASE_=2					,       SCREAMING_SNAKE_CASE_=0.02					,       SCREAMING_SNAKE_CASE_=1e-12					,       SCREAMING_SNAKE_CASE_=0					,       SCREAMING_SNAKE_CASE_=768					,       SCREAMING_SNAKE_CASE_=4					,       SCREAMING_SNAKE_CASE_=4					,       SCREAMING_SNAKE_CASE_=4					,       SCREAMING_SNAKE_CASE_=1					,       SCREAMING_SNAKE_CASE_=4					,       SCREAMING_SNAKE_CASE_=4					,       **SCREAMING_SNAKE_CASE_					,       )       ->   Any:
            super().__init__(pad_token_id=SCREAMING_SNAKE_CASE_					,       **SCREAMING_SNAKE_CASE_				)
  
            UpperCamelCase :Union[str, Any]										=     vocab_size
            UpperCamelCase :Optional[int]										=     hidden_size
            UpperCamelCase :str										=     num_hidden_layers
            UpperCamelCase :Any										=     num_attention_heads
            UpperCamelCase :Union[str, Any]										=     hidden_act
            UpperCamelCase :Optional[int]										=     intermediate_size
            UpperCamelCase :List[str]										=     hidden_dropout_prob
            UpperCamelCase :Tuple										=     attention_probs_dropout_prob
            UpperCamelCase :int										=     max_position_embeddings
            UpperCamelCase :Any										=     type_vocab_size
            UpperCamelCase :Optional[int]										=     initializer_range
            UpperCamelCase :Optional[Any]										=     layer_norm_eps
            UpperCamelCase :Dict										=     embedding_size
            UpperCamelCase :List[str]										=     q_groups
            UpperCamelCase :Optional[Any]										=     k_groups
            UpperCamelCase :Optional[int]										=     v_groups
            UpperCamelCase :Dict										=     post_attention_groups
            UpperCamelCase :List[str]										=     intermediate_groups
            UpperCamelCase :Tuple										=     output_groups
  
  
  
  
  
  
  
  class     UpperCAmelCase_		(      lowercase				):
  
  
  
        """simple docstring"""
        @property
        def 					UpperCAmelCase		(       self				)       ->   Mapping[str, Mapping[int, str]]:
            if self.task == "multiple-choice":
                UpperCamelCase :Any										=     {0: '''batch''', 1: '''choice''', 2: '''sequence'''}
            else:
                UpperCamelCase :Dict										=     {0: '''batch''', 1: '''sequence'''}
            return OrderedDict(
                [
                    ('''input_ids''', dynamic_axis),
                    ('''attention_mask''', dynamic_axis),
                    ('''token_type_ids''', dynamic_axis),
                ]				)
  
  
  
  
  
  
style_context: 
  
  
  
  
  
  
  __snake_case							      =						[
      ["""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     (       SCREAMING_SNAKE_CASE__						:			List[Any] ):
      UpperCamelCase :List[Any]										=     set()
      for row in edge_array:
          for item in row:
              distinct_edge.add(item[0] )
      return list(SCREAMING_SNAKE_CASE__ )
  
  
  def 						_A     (       SCREAMING_SNAKE_CASE__						:			List[str]  ,						SCREAMING_SNAKE_CASE__						:			str ):
      UpperCamelCase :int										=     ['''0'''] * len(SCREAMING_SNAKE_CASE__ )
      for i, row in enumerate(SCREAMING_SNAKE_CASE__ ):
          for item in row:
              if distinct_edge in item[0]:
                  UpperCamelCase :Tuple										=     '''1'''
                  break
      return "".join(SCREAMING_SNAKE_CASE__ )
  
  
  def 						_A     (       SCREAMING_SNAKE_CASE__						:			Union[str, Any] ):
      UpperCamelCase :Optional[Any]										=     get_distinct_edge(SCREAMING_SNAKE_CASE__ )
      UpperCamelCase :Optional[int]										=     {}
  
      for item in distinct_edge:
          UpperCamelCase :List[str]										=     get_bitcode(SCREAMING_SNAKE_CASE__  ,						SCREAMING_SNAKE_CASE__ )
          # print('bit',bit)
          # bt=''.join(bit)
          UpperCamelCase :str										=     bit.count('''1''' )
          UpperCamelCase :Optional[int]										=     [s, bit]
      # Store [Distinct edge, WT(Bitcode), Bitcode] in descending order
      UpperCamelCase :Optional[int]										=     [
          [k, v[0], v[1]]
          for k, v in sorted(frequency_table.items()  ,						key=lambda SCREAMING_SNAKE_CASE__ : v[1][0]  ,						reverse=SCREAMING_SNAKE_CASE__ )
      ]
      return sorted_frequency_table
  
  
  def 						_A     (       SCREAMING_SNAKE_CASE__						:			int ):
      UpperCamelCase :List[Any]										=     {}
      for _, item in enumerate(SCREAMING_SNAKE_CASE__ ):
          nodes.setdefault(item[2]  ,						[] ).append(item[0] )
      return nodes
  
  
  def 						_A     (       SCREAMING_SNAKE_CASE__						:			Tuple ):
      UpperCamelCase :str										=     {}
      for key, value in nodes.items():
          UpperCamelCase :str										=     value
      return cluster
  
  
  def 						_A     (       SCREAMING_SNAKE_CASE__						:			List[Any] ):
      return [i * 100 / len(SCREAMING_SNAKE_CASE__ ) for i in cluster]
  
  
  def 						_A     (       ):
      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     (       SCREAMING_SNAKE_CASE__						:			Any  ,						SCREAMING_SNAKE_CASE__						:			str  ,						SCREAMING_SNAKE_CASE__						:			Union[str, Any]  ,						SCREAMING_SNAKE_CASE__						:			Optional[Any] ):
      for i in cluster[ca]:
          UpperCamelCase :Union[str, Any]										=     0
          UpperCamelCase :Dict										=     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 :Union[str, Any]										=     [nodes[j]]
                      count += 1
              if count == 0:
                  UpperCamelCase :int										=     ca + 1
              else:
                  break
  
  
  def 						_A     (       SCREAMING_SNAKE_CASE__						:			List[Any]  ,						SCREAMING_SNAKE_CASE__						:			str ):
      UpperCamelCase :str										=     cluster[max(cluster.keys() )]
      UpperCamelCase :Any										=     '''Header'''
      UpperCamelCase :str										=     {}
      for i in x:
          if (["Header"],) in graph:
              graph[(["Header"],)].append(x[i] )
          else:
              UpperCamelCase :str										=     [x[i]]
      for i in x:
          UpperCamelCase :Dict										=     [['''Header''']]
      UpperCamelCase :Union[str, Any]										=     1
      while i < max(SCREAMING_SNAKE_CASE__ ) - 1:
          create_edge(SCREAMING_SNAKE_CASE__  ,						SCREAMING_SNAKE_CASE__  ,						SCREAMING_SNAKE_CASE__  ,						SCREAMING_SNAKE_CASE__ )
          UpperCamelCase :Optional[int]										=     i + 1
      return graph
  
  
  def 						_A     (       SCREAMING_SNAKE_CASE__						:			List[str]  ,						SCREAMING_SNAKE_CASE__						:			Tuple  ,						SCREAMING_SNAKE_CASE__						:			Optional[int]  ,						SCREAMING_SNAKE_CASE__						:			List[str]=None ):
      UpperCamelCase :Tuple										=     (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     (       SCREAMING_SNAKE_CASE__						:			List[Any]  ,						SCREAMING_SNAKE_CASE__						:			str  ,						SCREAMING_SNAKE_CASE__						:			Union[str, Any] ):
      UpperCamelCase :str										=     int(s / 100 * (len(SCREAMING_SNAKE_CASE__ ) - 1) )
      for i in cluster[k]:
          my_dfs(SCREAMING_SNAKE_CASE__  ,						tuple(cluster[k][i] )  ,						(['''Header'''],) )
  
  
  def 						_A     (       SCREAMING_SNAKE_CASE__						:			str ):
      UpperCamelCase :Dict										=     []
      for edges in paths:
          UpperCamelCase :Tuple										=     []
          for j in range(len(SCREAMING_SNAKE_CASE__ ) - 1 ):
              UpperCamelCase :Dict										=     list(edges[j] )
              for e in temp:
                  UpperCamelCase :Union[str, Any]										=     (e[0], e[1])
                  el.append(SCREAMING_SNAKE_CASE__ )
          freq_sub_el.append(SCREAMING_SNAKE_CASE__ )
      return freq_sub_el
  
  
  def 						_A     (       SCREAMING_SNAKE_CASE__						:			List[str] ):
      for i in range(len(SCREAMING_SNAKE_CASE__ ) ):
          for j in range(len(edge_array[i] ) ):
              UpperCamelCase :Tuple										=     edge_array[i][j].split('''-''' )
              UpperCamelCase :Dict										=     t
  
  
  if __name__ == "__main__":
   preprocess(edge_array)
   __snake_case							      =						get_frequency_table(edge_array)
   __snake_case							      =						get_nodes(frequency_table)
   __snake_case							      =						get_cluster(nodes)
   __snake_case							      =						get_support(cluster)
   __snake_case							      =						construct_graph(cluster, nodes)
   find_freq_subgraph_given_support(60, cluster, graph)
   __snake_case							      =						[]
   __snake_case							      =						freq_subgraphs_edge_list(paths)
   print_all()
  
  
  
  
  
  