code: def test_init_from_layermapping_values():
      mlp = BlankClassifier()
      wm, bm = mlp._layermapping(
          n_features=5, n_classes=5, hidden_layers=[5]
      )
  
      w, b = mlp._init_params_from_layermapping(
          weight_maps=wm, bias_maps=bm, random_seed=1
      )
      assert round(w["1"][0, 0], 8) == 0.01624345, w["1"][0, 0]
      assert round(w["out"][0, 0], 8) == -0.00683728, w["out"][0, 0]
  
imports: from mlxtend._base import _MultiLayer
label_desc: Use image node_id 3 for calling a global function with example usage: test_init_from_layermapping_values() without return types