code: def test_grpc_request(mock_predict_pb2):
      mock_predict_pb2.PredictRequest = MagicMock()
      stub = MagicMock()
      stub.Predict = MagicMock()
      stub.Predict.return_value = True
  
      data = np.random.randn(224, 224, 3)
  
      result = grpc_request(
          stub,
          data,
          input_name="input",
          model_name="test_model",
          signature_name="test",
      )
  
      assert result
      stub.Predict.assert_called()
      mock_predict_pb2.PredictRequest.assert_called()
      stub.Predict.assert_called_with(
          mock_predict_pb2.PredictRequest(), 20
      )
  
imports: from unittest.mock import MagicMock, patch
  import numpy
  from tensorflow_serving.apis.prediction_service_pb2_grpc import PredictionServiceStub
  from chitra.serve.tf_serving.client import GrpcClient, create_grpc_stub, grpc_request
label_desc: Use image node_id 3 for calling a global function with example usage: test_grpc_request(mock_predict_pb2) without return types