code: def predict(self, image) -> dict:
      return {
          "predicted_class": 0,
          "probabilities": np.array([0.1, 0.9]),
      }
  
file_path: traintool/tests/test_model_wrapper.py
imports: from fastapi.testclient import TestClient
  import numpy
  from traintool.model_wrapper import ModelWrapper
label_desc: Use image node_id 3 for calling the DummyWrapper obj's underlying member method code with example usage: obj.predict(image) and returns: dict