code: def _create_default_config(model_name, model_config, backend):
      # Initiate the configuration file
      config = create_config(backend=backend)
  
      # Additional configuration parameters
      config[model_config] = model_name
      config["HLSConfig"]["Model"] = {}
      config["HLSConfig"]["Model"]["Precision"] = "ap_fixed<16,6>"
      config["HLSConfig"]["Model"]["ReuseFactor"] = 1
  
      return config
  
file_path: hls4ml/hls4ml/utils/example_models.py
imports: import json
  import pprint
  from urllib.request import urlretrieve
  import yaml
  from .config import create_config
label_desc: Use image node_id 4 for calling a global function with example usage: _create_default_config(model_name, model_config, backend) and returns: config