code: def test_entryDM():
      e_type = "dm"
      true_val = "deepchem/feat/tests/data/dftHF_output.npy"
      systems = [
          {
              "moldesc": "H 0.86625 0 0; F -0.86625 0 0",
              "basis": "6-311++G(3df,3pd)",
          }
      ]
      dm_entry_for_HF = DFTEntry.create(e_type, true_val, systems)
      assert dm_entry_for_HF.entry_type == "dm"
      dm_HF_system0 = dm_entry_for_HF.get_systems()[0]
      mol_dqc = dm_HF_system0.get_dqc_mol(dm_entry_for_HF)
      hf_zs = torch.Tensor([1, 9])
      hf_pos = torch.DoubleTensor(
          [[0.86625, 0.0000, 0.0000], [-0.86625, 0.0000, 0.0000]]
      )
      assert (mol_dqc.atomzs == hf_zs).all()
      assert (hf_pos.numpy() == mol_dqc.atompos.numpy()).all()
      dm0 = dm_entry_for_HF.get_true_val()
      assert dm0.shape == (57, 57)
  
label_desc: Use image node_id 1 for calling a global function with example usage: test_entryDM() without return types