code: def test_dgl_node_classification_hetero():
      minibatch = create_hetero_minibatch()
      minibatch.labels = {"B": torch.tensor([2, 5])}
      minibatch.seed_nodes = {"B": torch.tensor([10, 15])}
      # Act
      dgl_blocks = minibatch.blocks
  
      # Assert
      assert len(dgl_blocks) == 2
      check_dgl_blocks_hetero(minibatch, dgl_blocks)
  
file_path: dgl/tests/python/pytorch/graphbolt/impl/test_minibatch.py
imports: import dgl
  import dgl.graphbolt
  import pytest
  import torch
label_desc: Use image node_id 12 for calling a global function with example usage: test_dgl_node_classification_hetero() without return types