code: def test_full_index():
      """[Base] FullIndex: check generates None."""
      for out in FullIndex(X=X).generate():
          assert out == (None, None)
  
imports: import os
  import subprocess
  import numpy
  from mlens import config
  from mlens.utils import IdTrain
  from mlens.index import FoldIndex, BlendIndex, SubsetIndex, TemporalIndex, ClusteredSubsetIndex, FullIndex
  from mlens.index.base import partition, prune_train
label_desc: Use image node_id 5 for calling a global function with example usage: test_full_index() without return types