code: def dummy_flow_model():
      layers = [
          {
              "class_name": "Input",
              "name": "layer0_input",
              "input_shape": [1],
          }
      ]
      config = {
          "HLSConfig": {
              "Model": {
                  "Precision": "ap_fixed<32,16>",
                  "ReuseFactor": 1,
              },
              "Flows": [],
          }
      }
      model = hls4ml.model.ModelGraph(config, layers)
      return model
  
imports: import pytest
  import hls4ml
label_desc: Use image node_id 1 for calling a global function with example usage: dummy_flow_model() and returns: model