docstr: Display the transposed adjacency list. Compute it if needed.
  
  Returns
  -------
  offset_col : cudf.Series
      This cudf.Series wraps a gdf_column of size V + 1 (V: number of
      vertices).
      The gdf column contains the offsets for the vertices in this graph.
      Offsets are in the range [0, E] (E: number of edges).
  
  index_col : cudf.Series
      This cudf.Series wraps a gdf_column of size E (E: number of edges).
      The gdf column contains the destination index for each edge.
      Destination indices are in the range [0, V) (V: number of
      vertices).
  
  value_col : cudf.Series or ``None``
      This pointer is ``None`` for unweighted graphs.
      For weighted graphs, this cudf.Series wraps a gdf_column of size E
      (E: number of edges).
      The gdf column contains the weight value for each edge.
      The expected type of the gdf_column element is floating point
      number.
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code: def view_transposed_adj_list(self):
      """
      Display the transposed adjacency list. Compute it if needed.
  
      Returns
      -------
      offset_col : cudf.Series
          This cudf.Series wraps a gdf_column of size V + 1 (V: number of
          vertices).
          The gdf column contains the offsets for the vertices in this graph.
          Offsets are in the range [0, E] (E: number of edges).
  
      index_col : cudf.Series
          This cudf.Series wraps a gdf_column of size E (E: number of edges).
          The gdf column contains the destination index for each edge.
          Destination indices are in the range [0, V) (V: number of
          vertices).
  
      value_col : cudf.Series or ``None``
          This pointer is ``None`` for unweighted graphs.
          For weighted graphs, this cudf.Series wraps a gdf_column of size E
          (E: number of edges).
          The gdf column contains the weight value for each edge.
          The expected type of the gdf_column element is floating point
          number.
      """
  
      if self.transposedadjlist is None:
          if (
              self.adjlist is not None
              and self.properties.directed is False
          ):
              off, ind, vals = (
                  self.adjlist.offsets,
                  self.adjlist.indices,
                  self.adjlist.weights,
              )
          else:
              (
                  off,
                  ind,
                  vals,
              ) = graph_primtypes_wrapper.view_transposed_adj_list(self)
          self.transposedadjlist = self.transposedAdjList(
              off, ind, vals
          )
  
          if self.batch_enabled:
              self._replicate_transposed_adjlist()
  
      return (
          self.transposedadjlist.offsets,
          self.transposedadjlist.indices,
          self.transposedadjlist.weights,
      )
  
imports: from cugraph.structure import graph_primtypes_wrapper
  from cugraph.structure.graph_primtypes_wrapper import Direction
  from cugraph.structure.symmetrize import symmetrize
  from cugraph.structure.number_map import NumberMap
  import cugraph.dask.common.mg_utils
  import cudf
  import dask_cudf
  import cugraph.dask.comms.comms
  import pandas
  import numpy
  import warnings
  from cugraph.dask.structure import replication
  from typing import Union, Dict
  from pylibcugraph import get_two_hop_neighbors, select_random_vertices
  from pylibcugraph import ResourceHandle, GraphProperties, SGGraph
label_desc: Use image node_id 11 for calling the simpleGraphImpl obj's underlying member method code with example usage: obj.view_transposed_adj_list() and returns: self,  self,  self