class_docstr: A dummy explainer that returns random explanations (useful for testing
  purposes).
class_docstr_tok: ["A","dummy","explainer","that","returns","random","explanations","(","useful","for","testing","purposes",")","."]
code: def supports(self) -> bool:
      return True
  
file_path: pytorch_geometric/torch_geometric/explain/algorithm/dummy_explainer.py
imports: from collections import defaultdict
  from typing import Dict, Optional, Union
  import torch
  from torch import Tensor
  from torch_geometric.explain import Explanation, HeteroExplanation
  from torch_geometric.explain.algorithm import ExplainerAlgorithm
  from torch_geometric.explain.config import MaskType
  from torch_geometric.typing import EdgeType, NodeType
label_desc: Use image node_id 2 for calling the DummyExplainer obj's underlying member method code with example usage: obj.supports() and returns: True