code: def test_satisfiable_all_models():
      from sympy.abc import A, B
  
      assert next(satisfiable(False, all_models=True)) is False
      assert list(satisfiable((A >> ~A) & A, all_models=True)) == [
          False
      ]
      assert list(satisfiable(True, all_models=True)) == [{true: true}]
  
      models = [{A: True, B: False}, {A: False, B: True}]
      result = satisfiable(A ^ B, all_models=True)
      models.remove(next(result))
      models.remove(next(result))
      raises(StopIteration, lambda: next(result))
      assert not models
  
      assert list(satisfiable(Equivalent(A, B), all_models=True)) == [
          {A: False, B: False},
          {A: True, B: True},
      ]
  
      models = [
          {A: False, B: False},
          {A: False, B: True},
          {A: True, B: True},
      ]
      for model in satisfiable(A >> B, all_models=True):
          models.remove(model)
      assert not models
  
      # This is a santiy test to check that only the required number
      # of solutions are generated. The expr below has 2**100 - 1 models
      # which would time out the test if all are generated at once.
      from sympy.utilities.iterables import numbered_symbols
      from sympy.logic.boolalg import Or
  
      sym = numbered_symbols()
      X = [next(sym) for i in range(100)]
      result = satisfiable(Or(*X), all_models=True)
      for i in range(10):
          assert next(result)
  
imports: from sympy.assumptions.ask import Q
  from sympy.core.symbol import symbols
  from sympy.core.relational import Unequality
  from sympy.logic.boolalg import And, Or, Implies, Equivalent, true, false
  from sympy.logic.inference import literal_symbol, pl_true, satisfiable, valid, entails, PropKB
  from sympy.logic.algorithms.dpll import dpll, dpll_satisfiable, find_pure_symbol, find_unit_clause, unit_propagate, find_pure_symbol_int_repr, find_unit_clause_int_repr, unit_propagate_int_repr
  from sympy.logic.algorithms.dpll2 import dpll_satisfiable
  from sympy.logic.algorithms.z3_wrapper import z3_satisfiable
  from sympy.assumptions.cnf import CNF, EncodedCNF
  from sympy.logic.tests.test_lra_theory import make_random_problem
  from sympy.core.random import randint
  from sympy.testing.pytest import raises, skip
  from sympy.external import import_module
label_desc: Use image node_id 22 for calling a global function with example usage: test_satisfiable_all_models() without return types