code: def test_broadcasting3(self):
      t1 = TensorType((1, 2, 3, Dyn))
      t2 = TensorType((2, 3, 4))
      assert broadcast_types(t1, t2) == (
          TensorType((1, 2, 3, Dyn)),
          TensorType((1, 2, 3, 4)),
      )
  
imports: import unittest
  import torch
  from torch.fx import symbolic_trace
  from torch.fx.experimental.unify_refinements import infer_symbolic_types
  from torch.fx.experimental.refinement_types import Equality
  from torch.fx.tensor_type import TensorType, Dyn, is_consistent, is_more_precise
  from torch.fx.annotate import annotate
  from torch.fx.experimental.graph_gradual_typechecker import GraphTypeChecker, broadcast_types, Refine
  from torch.fx.experimental.rewriter import RewritingTracer
  from torch.fx import GraphModule
  from torch.fx.passes.shape_prop import ShapeProp
  from torch.testing._internal.common_utils import TestCase
  import sympy
label_desc: Use image node_id 7 for calling the AnnotationsTest obj's underlying member method code with example usage: obj.test_broadcasting3() without return types