code: def aggregate_predictions(
      self, output_data, repatched_image, rep_idx
  ):
      output_data = np.logical_or(output_data, repatched_image).astype(
          float
      )
      return output_data
  
file_path: DeepNeuro/deepneuro/outputs/toy.py
imports: import numpy
  from deepneuro.utilities.util import add_parameter
  from deepneuro.outputs.segmentation import PatchesInference
label_desc: Use image node_id 2 for calling the PatchDiagram obj's underlying member method code with example usage: obj.aggregate_predictions(output_data, repatched_image, rep_idx) and returns: output_data