code: def __init__(self, pgexplainer, model, molecule: bool):
      super().__init__(
          model=model,
          explain_graph=pgexplainer.explain_graph,
          molecule=molecule,
      )
      self.explainer = pgexplainer
  
imports: import os
  import torch
  import hydra
  from omegaconf import OmegaConf
  from sklearn.metrics import roc_auc_score
  from dig.xgraph.method import PGExplainer
  from dig.xgraph.evaluation import XCollector
  from dig.xgraph.method.base_explainer import ExplainerBase
  from dig.xgraph.utils.compatibility import compatible_state_dict
  from benchmarks.xgraph.gnnNets import get_gnnNets
  from benchmarks.xgraph.dataset import get_dataset, get_dataloader, SynGraphDataset
  from benchmarks.xgraph.utils import check_dir, fix_random_seed, Recorder, perturb_input
  from torch import Tensor
  from typing import List, Dict, Tuple
  from torch_geometric.utils import add_remaining_self_loops
label_desc: Use image node_id 1 to create a new PGExplainer_edges object from inherited base classes: ExplainerBase with example: obj = PGExplainer_edges(pgexplainer, model, molecule)