code: def read_adjlist(
      path,
      comments="#",
      delimiter=None,
      create_using=None,
      nodetype=None,
      encoding="utf-8",
  ):
      """Read graph in adjacency list format from path.
  
      Parameters
      ----------
      path : string or file
         Filename or file handle to read.
         Filenames ending in .gz or .bz2 will be uncompressed.
  
      create_using : NetworkX graph constructor, optional (default=nx.Graph)
         Graph type to create. If graph instance, then cleared before populated.
  
      nodetype : Python type, optional
         Convert nodes to this type.
  
      comments : string, optional
         Marker for comment lines
  
      delimiter : string, optional
         Separator for node labels.  The default is whitespace.
  
      Returns
      -------
      G: NetworkX graph
          The graph corresponding to the lines in adjacency list format.
  
      Examples
      --------
      >>> G = nx.path_graph(4)
      >>> nx.write_adjlist(G, "test.adjlist")
      >>> G = nx.read_adjlist("test.adjlist")
  
      The path can be a filehandle or a string with the name of the file. If a
      filehandle is provided, it has to be opened in 'rb' mode.
  
      >>> fh = open("test.adjlist", "rb")
      >>> G = nx.read_adjlist(fh)
  
      Filenames ending in .gz or .bz2 will be compressed.
  
      >>> nx.write_adjlist(G, "test.adjlist.gz")
      >>> G = nx.read_adjlist("test.adjlist.gz")
  
      The optional nodetype is a function to convert node strings to nodetype.
  
      For example
  
      >>> G = nx.read_adjlist("test.adjlist", nodetype=int)
  
      will attempt to convert all nodes to integer type.
  
      Since nodes must be hashable, the function nodetype must return hashable
      types (e.g. int, float, str, frozenset - or tuples of those, etc.)
  
      The optional create_using parameter indicates the type of NetworkX graph
      created.  The default is `nx.Graph`, an undirected graph.
      To read the data as a directed graph use
  
      >>> G = nx.read_adjlist("test.adjlist", create_using=nx.DiGraph)
  
      Notes
      -----
      This format does not store graph or node data.
  
      See Also
      --------
      write_adjlist
      """
      lines = (line.decode(encoding) for line in path)
      return parse_adjlist(
          lines,
          comments=comments,
          delimiter=delimiter,
          create_using=create_using,
          nodetype=nodetype,
      )
  
imports: import networkx
  from networkx.utils import open_file
label_desc: Use image node_id 4 for calling a global function with example usage: read_adjlist(path, comments, delimiter, create_using, nodetype, encoding) and returns: parse_adjlist