code: def _test_cases(
      self,
      cases: List[Tuple[sympy.Basic, sympy.Basic]],
      thing: sympy.Basic,
      op: Type[sympy.Rel],
      **kwargs,
  ):
      for source, expected in cases:
          r = try_solve(source, thing, **kwargs)
  
          self.assertTrue(
              (r is None and expected is None)
              or (r is not None and expected is not None)
          )
  
          if r is not None:
              r_expr, r_rhs = r
              self.assertEqual(r_rhs, expected)
              self.assertEqual(r_expr, op(thing, expected))
  
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 5 for calling the TestSympySolve obj's underlying member method code with example usage: obj._test_cases(cases, thing, op) without return types