code: def test_summary_data_with_no_non_layer_params():
      summary = summarize(PreCalculatedModel())
      summary_data = OrderedDict(summary._get_summary_data())
      assert summary_data["Name"][-1] != LEFTOVER_PARAMS_NAME
  
imports: from collections import OrderedDict
  from typing import Any
  import pytest
  import torch
  import torch.nn
  from lightning.fabric.utilities.imports import _TORCH_GREATER_EQUAL_2_0
  from lightning.pytorch import LightningModule, Trainer
  from lightning.pytorch.demos.boring_classes import BoringModel
  from lightning.pytorch.utilities.model_summary.model_summary import LEFTOVER_PARAMS_NAME, NOT_APPLICABLE, UNKNOWN_SIZE, ModelSummary, summarize
  from tests_pytorch.helpers.advanced_models import ParityModuleRNN
  from tests_pytorch.helpers.runif import RunIf
label_desc: Use image node_id 19 for calling a global function with example usage: test_summary_data_with_no_non_layer_params() without return types