code: def test_fit_prep():
      """[Parallel | Layer | Manual | Temporal | No Proba | Prep] test fit"""
      args = get_layer(
          "fit",
          "manual",
          "temporal",
          False,
          True,
          window=2,
          step_size=3,
      )
      run_layer(*args)
  
file_path: mlens/mlens/parallel/tests/test_b1_layer_temporal.py
imports: from mlens.testing import Data, EstimatorContainer, get_layer, run_layer
label_desc: Use image node_id 4 for calling a global function with example usage: test_fit_prep() without return types