docstr: Test the consistency relation.
code: def test_precision(self):
      """
      Test the consistency relation.
      """
      self.assertTrue(
          is_more_precise(
              TensorType((1, 2, 3)), TensorType((1, Dyn, 3))
          )
      )
      self.assertTrue(is_more_precise(int, Dyn))
      self.assertTrue(is_more_precise(int, int))
      self.assertFalse(
          is_more_precise(
              TensorType((1, 2, 3)), TensorType((1, 2, 3, 5))
          )
      )
      self.assertFalse(is_more_precise(TensorType((1, 2, 3)), int))
  
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 4 for calling the AnnotationsTest obj's underlying member method code with example usage: obj.test_precision() without return types