code: 
  
  
  
  
  
  
  import textwrap
  
  import pyarrow as pa
  import pytest
  
  from datasets import Features, Image
  from datasets.packaged_modules.text.text import Text
  
  from ..utils import require_pil
  
  
  @pytest.fixture
  def 						_A     (       SCREAMING_SNAKE_CASE__						:			List[str] ):
      UpperCamelCase :List[str]										=     tmp_path / '''text.txt'''
      UpperCamelCase :List[str]										=     textwrap.dedent(
          '''\
          Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.
          Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.
          Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.
          Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.
  
          Second paragraph:
          Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.
          Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.
          Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.
          Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.
          ''' )
      with open(__A  ,						'''w'''  ,						encoding='''utf-8''' ) as f:
          f.write(__A )
      return str(__A )
  
  
  @pytest.fixture
  def 						_A     (       SCREAMING_SNAKE_CASE__						:			Union[str, Any]  ,						SCREAMING_SNAKE_CASE__						:			Any ):
      UpperCamelCase :Optional[Any]										=     tmp_path / '''text_with_image.txt'''
      with open(__A  ,						'''w'''  ,						encoding='''utf-8''' ) as f:
          f.write(__A )
      return str(__A )
  
  
  @pytest.mark.parametrize('''keep_linebreaks'''  ,						[True, False] )
  def 						_A     (       SCREAMING_SNAKE_CASE__						:			List[Any]  ,						SCREAMING_SNAKE_CASE__						:			Optional[Any] ):
  
  
  
      with open(__A  ,						encoding='''utf-8''' ) as f:
          UpperCamelCase :Any										=     f.read().splitlines(keepends=__A )
      UpperCamelCase :List[str]										=     Text(keep_linebreaks=__A  ,						encoding='''utf-8''' )
      UpperCamelCase :Any										=     text._generate_tables([[text_file]] )
      UpperCamelCase :Optional[int]										=     pa.concat_tables([table for _, table in generator] ).to_pydict()['''text''']
      assert generated_content == expected_content
  
  
  @require_pil
  def 						_A     (       SCREAMING_SNAKE_CASE__						:			Optional[Any] ):
  
  
  
      with open(__A  ,						encoding='''utf-8''' ) as f:
          UpperCamelCase :Any										=     f.read().splitlines()[0]
      UpperCamelCase :Optional[Any]										=     Text(encoding='''utf-8'''  ,						features=Features({'''image''': Image()} ) )
      UpperCamelCase :Tuple										=     text._generate_tables([[text_file_with_image]] )
      UpperCamelCase :Optional[Any]										=     pa.concat_tables([table for _, table in generator] )
      assert pa_table.schema.field('''image''' ).type == Image()()
      UpperCamelCase :Dict										=     pa_table.to_pydict()['''image''']
      assert generated_content == [{"path": image_file, "bytes": None}]
  
  
  
  @pytest.mark.parametrize('''sample_by'''  ,						['''line''', '''paragraph''', '''document'''] )
  def 						_A     (       SCREAMING_SNAKE_CASE__						:			Optional[Any]  ,						SCREAMING_SNAKE_CASE__						:			Optional[Any] ):
  
  
  
      with open(__A  ,						encoding='''utf-8''' ) as f:
          UpperCamelCase :Optional[Any]										=     f.read()
      if sample_by == "line":
          UpperCamelCase :str										=     expected_content.splitlines()
      elif sample_by == "paragraph":
          UpperCamelCase :List[str]										=     expected_content.split('''\n\n''' )
      elif sample_by == "document":
          UpperCamelCase :Optional[Any]										=     [expected_content]
      UpperCamelCase :List[Any]										=     Text(sample_by=__A  ,						encoding='''utf-8'''  ,						chunksize=100 )
      UpperCamelCase :Optional[int]										=     text._generate_tables([[text_file]] )
      UpperCamelCase :str										=     pa.concat_tables([table for _, table in generator] ).to_pydict()['''text''']
      assert generated_content == expected_content
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()
  
  
  
  
  
  