code: def test_temp_tuple_shape():
      """[Base] TemporalIndex: test the tuple shape on generation."""
      tup = [(tri, tei) for tri, tei in TemporalIndex().generate(X)]
      assert tup == [
          ((0, 1), (1, 2)),
          ((0, 2), (2, 3)),
          ((0, 3), (3, 4)),
          ((0, 4), (4, 5)),
      ]
  
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 15 for calling a global function with example usage: test_temp_tuple_shape() without return types