code: def test_chunk_and_pad(num_chunks):
      max_tensor_size = 256
      tensor = torch.zeros(max_tensor_size)
      for tensor_size in range(1, max_tensor_size + 1):
          tensor_i = tensor[:tensor_size]
          chunks = chunk_and_pad(tensor_i, num_chunks)
          assert len(chunks) == num_chunks
          assert all(len(chunks[0]) == len(chunk) for chunk in chunks)
  
label_desc: Use image node_id 1 for calling a global function with example usage: test_chunk_and_pad(num_chunks) without return types