code: def generate_range(vals):
      for a1, a2 in itertools.product(vals, repeat=2):
          if a1 in [sympy.true, sympy.false]:
              if a1 == sympy.true and a2 == sympy.false:
                  continue
          else:
              if a1 > a2:
                  continue
          # ranges that only admit infinite values are not interesting
          if a1 == sympy.oo or a2 == -sympy.oo:
              continue
          yield ValueRanges(a1, a2)
  
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 3 for calling a global function with example usage: generate_range(vals) without return types