code: def search_converted_models(root=None):
      
      if root is None:
          root = os.path.abspath(os.path.join(os.path.dirname(__file__), "..", "tests"))
          root = os.path.normpath(root)
      if not os.path.exists(root):
          raise FileNotFoundError("Unable to find '{0}'.".format(root))
      
      founds = glob.iglob("{0}/**/*.model.onnx".format(root), recursive=True)
      keep = []
      for found in founds:
          onnx = found
          basename = onnx[:-len(".model.onnx")]
          data = basename + ".data.pkl"
          expected = basename + ".expected.pkl"
          res = dict(onnx=onnx, data=data, expected=expected)
          ok = True
          for k, v in res.items():
              if not os.path.exists(v):
                  ok = False
          if ok:
              models = [basename + ".model.pkl", basename + ".model.keras"]
              for model in models:
                  if os.path.exists(model):
                      res['model'] = model
                      break
              if 'model' in res:
                  keep.append((basename, res))
      keep.sort()
      return [_[1] for _ in keep]
docs: Searches for all converted models generated by
      unit tests in folders tests and with function
      *dump_data_and_model*.