code: def _copy(
      self, as_view: bool, cls: type[Graph], reverse: bool = False
  ):
      # DRY warning: see also MultiGraph._copy
      src_indices = self.src_indices
      dst_indices = self.dst_indices
      edge_values = self.edge_values
      edge_masks = self.edge_masks
      node_values = self.node_values
      node_masks = self.node_masks
      key_to_id = self.key_to_id
      id_to_key = None if key_to_id is None else self._id_to_key
      if not as_view:
          src_indices = src_indices.copy()
          dst_indices = dst_indices.copy()
          edge_values = {
              key: val.copy() for key, val in edge_values.items()
          }
          edge_masks = {
              key: val.copy() for key, val in edge_masks.items()
          }
          node_values = {
              key: val.copy() for key, val in node_values.items()
          }
          node_masks = {
              key: val.copy() for key, val in node_masks.items()
          }
          if key_to_id is not None:
              key_to_id = key_to_id.copy()
              if id_to_key is not None:
                  id_to_key = id_to_key.copy()
      if reverse:
          src_indices, dst_indices = dst_indices, src_indices
      rv = cls.from_coo(
          self._N,
          src_indices,
          dst_indices,
          edge_values,
          edge_masks,
          node_values,
          node_masks,
          key_to_id=key_to_id,
          id_to_key=id_to_key,
      )
      if as_view:
          rv.graph = self.graph
      else:
          rv.graph.update(deepcopy(self.graph))
      return rv
  
imports: from __future__ import annotations
  import operator
  from copy import deepcopy
  from typing import TYPE_CHECKING
  import cupy
  import networkx
  import numpy
  import pylibcugraph
  import nx_cugraph
  from ..utils import index_dtype
label_desc: Use image node_id 34 for calling the Graph obj's underlying member method code with example usage: obj._copy(as_view, cls, reverse) and returns: rv