code: def test_type_compatibility_for_empty_list(self):
      run = Run(system_tracking_interval=None)
      context = {}
      ctx = Context(context)
      seq_name = "obj_list"
  
      sequence_info = run.meta_run_tree.subtree(
          ("traces", ctx.idx, seq_name)
      )
      typed_sequences_info = run.meta_tree.subtree("traces_types")
  
      run.track([], name=seq_name, context=context)
      self.assertEqual("list", sequence_info["dtype"])
      self.assertEqual(
          1, typed_sequences_info["list", ctx.idx, seq_name]
      )
      self.assertIsNone(
          typed_sequences_info.get(
              ("list(float)", ctx.idx, seq_name), None
          )
      )
  
      run.track([], name=seq_name, context=context)
      self.assertEqual("list", sequence_info["dtype"])
      self.assertIsNone(
          typed_sequences_info.get(
              ("list(float)", ctx.idx, seq_name), None
          )
      )
  
      run.track([1.0], name=seq_name, context=context)
      self.assertEqual("list(float)", sequence_info["dtype"])
      self.assertEqual(
          1, typed_sequences_info["list(float)", ctx.idx, seq_name]
      )
  
      run.track([], name=seq_name, context=context)
      self.assertEqual("list(float)", sequence_info["dtype"])
  
      with self.assertRaises(ValueError) as cm:
          run.track([5], name=seq_name, context=context)
      exception = cm.exception
      self.assertEqual(
          f"Cannot log value '{[5]}' on sequence '{seq_name}'. Incompatible data types.",
          exception.args[0],
      )
  
file_path: aim/tests/sdk/test_run_track_type_checking.py
imports: from tests.base import TestBase
  from aim.sdk.run import Run
  from aim.sdk.sequences.metric import Metric
  from aim.storage.context import Context
label_desc: Use image node_id 6 for calling the TestRunSequenceHomogeneousValues obj's underlying member method code with example usage: obj.test_type_compatibility_for_empty_list() without return types