code: def test_normalize_3d_regression():
      """Tests 3d regression normalization."""
      y = np.random.rand(10, 5, 1)
      y_expected = np.squeeze(y)
      y_out = normalize_prediction_shape(
          y, mode="regression", n_tasks=5
      )
      assert y_out.shape == (10, 5)
      assert np.array_equal(y_expected, y_out)
  
imports: import numpy
  import deepchem
  from deepchem.metrics import to_one_hot
  from deepchem.metrics import from_one_hot
  from deepchem.metrics import threshold_predictions
  from deepchem.metrics import handle_classification_mode
  from deepchem.metrics import normalize_prediction_shape
  from deepchem.metrics import normalize_weight_shape
label_desc: Use image node_id 15 for calling a global function with example usage: test_normalize_3d_regression() without return types