code: def test_binary_bool_ref_range(self, fn):
      vals = [sympy.false, sympy.true]
      for a, b in itertools.product(generate_range(vals), repeat=2):
          with self.subTest(a=a, b=b):
              ref_r = getattr(ValueRangeAnalysis, fn)(a, b)
              unique = set()
              for a0, b0 in itertools.product(vals, repeat=2):
                  if a0 not in a or b0 not in b:
                      continue
                  with self.subTest(a0=a0, b0=b0):
                      r = getattr(ReferenceAnalysis, fn)(a0, b0)
                      self.assertIn(r, ref_r)
                      unique.add(r)
              if ref_r.lower == ref_r.upper:
                  self.assertEqual(len(unique), 1)
              else:
                  self.assertEqual(len(unique), 2)
  
imports: import itertools
  import sys
  import sympy
  from typing import Callable, List, Tuple, Type
  from torch.testing._internal.common_device_type import skipIf
  from torch.testing._internal.common_utils import TEST_Z3, instantiate_parametrized_tests, parametrize, run_tests, TestCase
  from torch.utils._sympy.functions import FloorDiv
  from torch.utils._sympy.solve import INEQUALITY_TYPES, mirror_rel_op, try_solve
  from torch.utils._sympy.value_ranges import ValueRangeAnalysis, ValueRanges
  from torch.utils._sympy.reference import ReferenceAnalysis, PythonReferenceAnalysis
  from torch.utils._sympy.interp import sympy_interp
  from torch.utils._sympy.singleton_int import SingletonInt
  from sympy.core.relational import is_ge, is_le, is_gt, is_lt
  import functools
  import torch.fx
label_desc: Use image node_id 6 for calling the TestValueRanges obj's underlying member method code with example usage: obj.test_binary_bool_ref_range(fn) without return types