code: def test_predict_f_samples() -> None:
      vgp0, vgp1, cvgp = _prepare_models()
      # just check predict_f_samples(self) works
      cvgp.predict_f_samples(Datum.X_augmented0, 1)
      cvgp.predict_f_samples(Datum.X_augmented1, 1)
  
file_path: GPflow/tests/gpflow/kernels/test_coregion.py
imports: from typing import Sequence, Tuple
  import numpy
  from check_shapes import ShapeChecker
  from numpy.testing import assert_allclose
  import gpflow
  from gpflow import set_trainable
  from gpflow.base import AnyNDArray
  from gpflow.mean_functions import Constant
  from gpflow.models import VGP
label_desc: Use image node_id 8 for calling a global function with example usage: test_predict_f_samples() without return types