示例#1
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 def test_isfinite(self):
     space = SimpleStateSpace()
     with Patched(), StateSpaceContext(space):
         x = SymbolicFloat("symfloat")
         self.assertTrue(math.isfinite(x))
         self.assertTrue(math.isfinite(2.3))
         self.assertFalse(math.isfinite(float("nan")))
示例#2
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 def test_isfinite(self):
     space = SimpleStateSpace()
     with Patched(enabled=lambda: True), StateSpaceContext(space):
         x = SmtFloat('symfloat')
         self.assertTrue(math.isfinite(x))
         self.assertTrue(math.isfinite(2.3))
         self.assertFalse(math.isfinite(float('nan')))
示例#3
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 def test_isinstance(self):
     with StateSpaceContext(SimpleStateSpace()):
         f = SmtFloat("f")
         self.assertFalse(isinstance(f, float))
         self.assertFalse(isinstance(f, int))
         self.assertTrue(_isinstance(f, float))
         self.assertFalse(_isinstance(f, int))
示例#4
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 def symbolic_run(
     self, fn: Callable[[TrackingStateSpace], object]
 ) -> Tuple[object, Optional[BaseException], TrackingStateSpace]:
     search_root = SinglePathNode(True)
     with Patched(enabled=lambda: True):
         for itr in range(1, 200):
             debug('iteration', itr)
             space = TrackingStateSpace(time.monotonic() + 10.0,
                                        1.0,
                                        search_root=search_root)
             try:
                 with StateSpaceContext(space):
                     ret = (realize(fn(space)), None, space)
                     space.check_deferred_assumptions()
                     return ret
             except IgnoreAttempt as e:
                 debug('ignore iteration attempt: ', str(e))
                 pass
             except BaseException as e:
                 debug(traceback.format_exc())
                 return (None, e, space)
             top_analysis, space_exhausted = space.bubble_status(
                 CallAnalysis())
             if space_exhausted:
                 return (
                     None,
                     CrosshairInternal(f'exhausted after {itr} iterations'),
                     space)
     return (None,
             CrosshairInternal(
                 'Unable to find a successful symbolic execution'), space)
示例#5
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 def test_copy(self) -> None:
     with StateSpaceContext(SimpleStateSpace()):
         poke1 = make_fake_object(Pokeable, 'ppoke')
         poke1.poke()
         poke2 = copy.copy(poke1)
         self.assertIsNot(poke1, poke2)
         self.assertEqual(type(poke1), type(poke2))
         self.assertIs(poke1.x, poke2.x)
         poke1.poke()
         self.assertIsNot(poke1.x, poke2.x)
         self.assertNotEqual(str(poke1.x.var), str(poke2.x.var))
示例#6
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 def test_copy(self):
     with StateSpaceContext(SimpleStateSpace()):
         poke1 = proxy_class_as_masquerade(Pokeable, "ppoke")
         poke1.poke()
         poke2 = copy.copy(poke1)
         self.assertIsNot(poke1, poke2)
         self.assertEqual(type(poke1), type(poke2))
         self.assertIs(poke1.x, poke2.x)
         poke1.poke()
         self.assertIsNot(poke1.x, poke2.x)
         self.assertNotEqual(str(poke1.x.var), str(poke2.x.var))
示例#7
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def path_cover(ctxfn: FunctionInfo, options: AnalysisOptions,
               coverage_type: CoverageType) -> List[PathSummary]:
    fn, sig = ctxfn.callable()
    search_root = SinglePathNode(True)
    condition_start = time.monotonic()
    paths: List[PathSummary] = []
    for i in range(1, options.max_iterations):
        debug("Iteration ", i)
        itr_start = time.monotonic()
        if itr_start > condition_start + options.per_condition_timeout:
            debug(
                "Stopping due to --per_condition_timeout=",
                options.per_condition_timeout,
            )
            break
        space = StateSpace(
            execution_deadline=itr_start + options.per_path_timeout,
            model_check_timeout=options.per_path_timeout / 2,
            search_root=search_root,
        )
        with condition_parser(options.analysis_kind), Patched(
        ), COMPOSITE_TRACER, StateSpaceContext(space):
            summary = None
            try:
                summary = run_iteration(fn, sig, space)
                verification_status = VerificationStatus.CONFIRMED
            except UnexploredPath:
                verification_status = VerificationStatus.UNKNOWN
            debug("Verification status:", verification_status)
            top_analysis, exhausted = space.bubble_status(
                CallAnalysis(verification_status))
            debug("Path tree stats", search_root.stats())
            if summary:
                paths.append(summary)
            if exhausted:
                debug("Stopping due to code path exhaustion. (yay!)")
                break
    opcodes_found: Set[int] = set()
    selected: List[PathSummary] = []
    while paths:
        next_best = max(
            paths,
            key=lambda p: len(p.coverage.offsets_covered - opcodes_found))
        cur_offsets = next_best.coverage.offsets_covered
        if coverage_type == CoverageType.OPCODE:
            if len(cur_offsets - opcodes_found) == 0:
                break
        selected.append(next_best)
        opcodes_found |= cur_offsets
        paths = [p for p in paths if p is not next_best]
    return selected
 def symbolic_run(
     self,
     fn: Callable[[StateSpace, Dict[str, object]], object],
     typed_args: Dict[str, type],
 ) -> Tuple[object,  # return value
            Optional[Dict[str, object]],  # arguments after execution
            Optional[BaseException],  # exception thrown, if any
            StateSpace, ]:
     search_root = SinglePathNode(True)
     with COMPOSITE_TRACER, Patched():
         for itr in range(1, 200):
             debug("iteration", itr)
             space = StateSpace(time.monotonic() + 10.0,
                                1.0,
                                search_root=search_root)
             symbolic_args = {}
             try:
                 with StateSpaceContext(space):
                     symbolic_args = {
                         name: proxy_for_type(typ, name)
                         for name, typ in typed_args.items()
                     }
                     ret = fn(space, symbolic_args)
                     ret = (deep_realize(ret), symbolic_args, None, space)
                     space.check_deferred_assumptions()
                     return ret
             except IgnoreAttempt as e:
                 debug("ignore iteration attempt: ", str(e))
                 pass
             except BaseException as e:
                 debug(traceback.format_exc())
                 return (None, symbolic_args, e, space)
             top_analysis, space_exhausted = space.bubble_status(
                 CallAnalysis())
             if space_exhausted:
                 return (
                     None,
                     symbolic_args,
                     CrosshairInternal(f"exhausted after {itr} iterations"),
                     space,
                 )
     return (
         None,
         None,
         CrosshairInternal(
             "Unable to find a successful symbolic execution"),
         space,
     )
示例#9
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def diff_behavior_with_signature(
        fn1: Callable, fn2: Callable, sig: inspect.Signature, options: AnalysisOptions) -> Iterable[str]:
    search_root = SinglePathNode(True)
    condition_start = time.monotonic()
    for i in range(1, options.max_iterations):
        debug('Iteration ', i)
        itr_start = time.monotonic()
        if itr_start > condition_start + options.per_condition_timeout:
            yield f'(stopping due to --per_condition_timeout={options.per_condition_timeout})'
            break
        space = TrackingStateSpace(
            execution_deadline=itr_start + options.per_path_timeout,
            model_check_timeout=options.per_path_timeout / 2,
            search_root=search_root)
        with StateSpaceContext(space):
            (verification_status, output) = run_iteration(fn1, fn2, sig, space)
            debug('Verification status:', verification_status)
            top_analysis, space_exhausted = space.bubble_status(CallAnalysis(verification_status))
            if top_analysis and top_analysis.verification_status == VerificationStatus.CONFIRMED:
                break
            yield from output
示例#10
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def diff_behavior_with_signature(
    fn1: Callable, fn2: Callable, sig: inspect.Signature, options: AnalysisOptions
) -> Iterable[BehaviorDiff]:
    search_root = SinglePathNode(True)
    condition_start = time.monotonic()
    for i in range(1, options.max_iterations):
        debug("Iteration ", i)
        itr_start = time.monotonic()
        if itr_start > condition_start + options.per_condition_timeout:
            debug(
                "Stopping due to --per_condition_timeout=",
                options.per_condition_timeout,
            )
            return
        options.incr("num_paths")
        space = StateSpace(
            execution_deadline=itr_start + options.per_path_timeout,
            model_check_timeout=options.per_path_timeout / 2,
            search_root=search_root,
        )
        with StateSpaceContext(space):
            output = None
            try:
                (verification_status, output) = run_iteration(fn1, fn2, sig, space)
            except UnexploredPath:
                verification_status = VerificationStatus.UNKNOWN
            debug("Verification status:", verification_status)
            top_analysis, space_exhausted = space.bubble_status(
                CallAnalysis(verification_status)
            )
            if (
                top_analysis
                and top_analysis.verification_status == VerificationStatus.CONFIRMED
            ):
                debug("Stopping due to code path exhaustion. (yay!)")
                options.incr("exhaustion")
                break
            if output:
                yield output
示例#11
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    def run_trial(self, expr_str: str, arg_type_roots: Dict[str, Type],
                  trial_desc: str) -> TrialStatus:
        expr = expr_str.format(*arg_type_roots.keys())
        typed_args = {
            name: gen_type(self.r, type_root)
            for name, type_root in arg_type_roots.items()
        }
        literal_args = {
            name: value_for_type(typ, self.r)
            for name, typ in typed_args.items()
        }

        def symbolic_checker(space: TrackingStateSpace) -> object:
            symbolic_args = {
                name: proxy_for_type(typ, name)
                for name, typ in typed_args.items()
            }
            for name in typed_args.keys():
                literal, symbolic = literal_args[name], symbolic_args[name]
                if isinstance(literal, (set, dict)):
                    # We need not only equality, but equal ordering, because some operations
                    # like pop() are order-dependent:
                    if len(literal) != len(symbolic):
                        raise IgnoreAttempt(
                            f'symbolic "{name}" not equal to literal "{name}"')
                    if isinstance(literal, set):
                        literal, symbolic = list(literal), list(symbolic)
                    else:
                        literal, symbolic = list(literal.items()), list(
                            symbolic.items())
                if literal != symbolic:
                    raise IgnoreAttempt(
                        f'symbolic "{name}" not equal to literal "{name}"')
            return eval(expr, symbolic_args)

        with self.subTest(
                msg=f'Trial {trial_desc}: evaluating {expr} with {literal_args}'
        ):
            debug(f'  =====  {expr} with {literal_args}  =====  ')
            compiled = compile(expr, '<string>', 'eval')
            literal_ret, literal_exc = self.runexpr(
                expr, copy.deepcopy(literal_args))
            symbolic_ret, symbolic_exc, space = self.symbolic_run(
                symbolic_checker)
            if isinstance(symbolic_exc, CrosshairUnsupported):
                return TrialStatus.UNSUPPORTED
            with StateSpaceContext(space):
                rets_differ = bool(literal_ret != symbolic_ret)
                if (rets_differ or type(literal_exc) != type(symbolic_exc)):
                    debug(
                        f'  *****  BEGIN FAILURE FOR {expr} WITH {literal_args}  *****  '
                    )
                    debug(f'  *****  Expected: {literal_ret} / {literal_exc}')
                    debug(
                        f'  *****  Symbolic result: {symbolic_ret} / {symbolic_exc}'
                    )
                    debug(f'  *****  END FAILURE FOR {expr}  *****  ')
                    self.assertEqual((literal_ret, literal_exc),
                                     (symbolic_ret, symbolic_exc))
                debug(' OK ret= ', literal_ret, symbolic_ret)
                debug(' OK exc= ', literal_exc, symbolic_exc)
        return TrialStatus.NORMAL
 def setUp(self):
     self.space_ctx_ = StateSpaceContext(SimpleStateSpace())
     self.space_ctx_.__enter__()
class RegularExpressionUnitTests(unittest.TestCase):
    def setUp(self):
        self.space_ctx_ = StateSpaceContext(SimpleStateSpace())
        self.space_ctx_.__enter__()

    def tearDown(self):
        self.space_ctx_.__exit__(None, None, None)

    def test_handle_simple(self):
        self.assertIsNotNone(eval_regex("abc", 0, "abc", 0))
        self.assertIsNone(eval_regex("abc", 0, "ab", 0))

    def test_handle_or(self):
        self.assertIsNotNone(eval_regex("a|bc", 0, "bc", 0))
        self.assertEqual(eval_regex("a|bc", 0, "bc", 0).span(), (0, 2))

        self.assertIsNotNone(eval_regex("a|bc", 0, "ab", 0))
        self.assertEqual(eval_regex("a|bc", 0, "ab", 0).span(), (0, 1))

        self.assertIsNone(eval_regex("a|bc", 0, "c", 0))
        self.assertIsNone(eval_regex("a|bc", 0, "bd", 0))

    def test_handle_start_markers(self):
        self.assertIsNotNone(eval_regex(r"^ab", 0, "abc", 0))
        self.assertIsNotNone(eval_regex(r"\Aab", 0, "abc", 0))
        with self.assertRaises(ReUnhandled):
            # Surprisingly!: re.compile('^bc').match('abc', 1) is None
            # Even more surprisingly, the end markers work differently.
            # We simply don't handle start markers with offset:
            self.assertIsNone(eval_regex(r"^bc", 0, "abc", 1))

    def test_handle_end_markers(self):
        self.assertIsNotNone(eval_regex(r"abc$", 0, "abc", 0))
        self.assertIsNotNone(eval_regex(r"abc$", 0, "abcd", 0, 3))
        self.assertIsNotNone(eval_regex(r"abc\Z", 0, "abc", 0))
        self.assertIsNotNone(eval_regex(r"abc\Z", re.MULTILINE, "abc", 0))
        with self.assertRaises(ReUnhandled):
            self.assertIsNone(eval_regex("abc$", re.MULTILINE, "abc", 0))

    def test_handle_range(self):
        self.assertIsNotNone(eval_regex("[a-z]7", 0, "b7", 0))
        self.assertIsNotNone(eval_regex("[a-z]7", 0, "z7", 0))
        self.assertIsNone(eval_regex("[a-z]7", 0, "A7", 0))

    def test_handle_ascii_wildcard(self):
        self.assertIsNotNone(eval_regex("1.2", re.A, "1x2", 0))
        self.assertIsNotNone(eval_regex("1.2", re.A, "1\x002", 0))
        self.assertIsNone(eval_regex("1.2", re.A, "111", 0))

    def test_handle_repeats(self):
        self.assertIsNotNone(eval_regex("a+a", 0, "aa", 0))
        self.assertEqual(eval_regex("s", 0, "ssss", 0).span(), (0, 1))
        self.assertEqual(eval_regex("ss", 0, "ssss", 0).span(), (0, 2))
        self.assertIsNotNone(eval_regex("s{1,2}x", 0, "sx", 0))
        self.assertIsNotNone(eval_regex("s{1,2}x", 0, "ssx", 0))
        self.assertIsNone(eval_regex("s{1,2}x", 0, "sssx", 0))
        self.assertIsNone(eval_regex("s{1,2}x", 0, "x", 0))
        self.assertIsNotNone(eval_regex("s{2,3}", 0, "ssss", 0))
        self.assertEqual(eval_regex("s{2,3}", 0, "ssss", 0).span(), (0, 3))
        self.assertIsNotNone(eval_regex("y*", 0, "y", 0))
        self.assertEqual(eval_regex("y*", 0, "y", 0).span(), (0, 1))
        self.assertIsNotNone(eval_regex("y*e+", 0, "ye", 0))
        self.assertIsNotNone(eval_regex("y*e", 0, "yye", 0))
        self.assertEqual(eval_regex("y*e", 0, "yye", 0).span(), (0, 3))
        self.assertIsNotNone(eval_regex("y*e+s{2,3}x", 0, "yessx", 0))
        self.assertIsNotNone(eval_regex("y*e+s{2,3}x", 0, "essx", 0))
        self.assertIsNone(eval_regex("y*e+s{2,3}x", 0, "yyessssx", 0))
        self.assertIsNone(eval_regex("y*e+s{2,3}x", 0, "yssx", 0))
        self.assertIsNone(eval_regex("y*e+s{2,3}x", 0, "ex", 0))

    def test_handle_ascii_numeric(self):
        self.assertIsNotNone(eval_regex(r"a\d", re.A, "a3", 0))
        self.assertIsNotNone(eval_regex(r"a\d", re.A, "a0", 0))
        self.assertIsNone(eval_regex(r"a\d", re.A, "a-", 0))

    def test_handle_noncapturing_group(self):
        self.assertIsNotNone(eval_regex("(?:a|b)c", 0, "ac", 0))
        self.assertIsNotNone(eval_regex("(?:a|b)c", 0, "bc", 0))
        self.assertIsNone(eval_regex("(?:a|b)c", 0, "a", 0))

    def test_handle_capturing_group(self):
        self.assertIsNotNone(eval_regex("(a|b)c", 0, "ac", 0))
        self.assertIsNone(eval_regex("(a|b)c", 0, "a", 0))
        self.assertEqual(eval_regex("(a|b)c", 0, "bc", 0).groups(), ("b", ))

    def test_handle_named_groups(self):
        self.assertIsNotNone(eval_regex("(?P<foo>a|b)c", 0, "bc", 0))
        self.assertEqual(eval_regex("(?P<foo>a|b)c", 0, "bc", 0)["foo"], "b")

    def test_handle_nested_groups(self):
        self.assertIsNotNone(eval_regex("(a|b(xx))+(c)?", 0, "bxxc", 0))
        self.assertEqual(
            eval_regex("(bxx)(c)?", 0, "bxxc", 0).groups(), ("bxx", "c"))
        self.assertEqual(
            eval_regex("(a|b(xx))+(c)?", 0, "bxxc", 0).groups(),
            ("bxx", "xx", "c"))
        self.assertEqual(
            eval_regex("(a|b(xx))+(c)?", 0, "a", 0).groups(),
            ("a", None, None))

    def test_with_fuzzed_inputs(self) -> None:
        rand = random.Random(253209)

        def check(pattern, literal_string, offset):
            flags = re.ASCII | re.DOTALL
            sym_match = eval_regex(pattern, flags, literal_string, offset)
            py_match = re.compile(pattern, flags).match(literal_string, offset)
            if (sym_match is None) != (py_match is None):
                self.assertEqual(py_match, sym_match)
            if py_match is None:
                return
            self.assertEqual(py_match.span(), sym_match.span())
            self.assertEqual(py_match.group(0), sym_match.group(0))
            self.assertEqual(py_match.groups(), sym_match.groups())
            self.assertEqual(py_match.pos, sym_match.pos)
            self.assertEqual(py_match.endpos, sym_match.endpos)
            self.assertEqual(py_match.lastgroup, sym_match.lastgroup)

        for iter in range(100):
            literal_string = "".join(
                rand.choice(["a", "5", "_"])
                for _ in range(rand.choice([0, 1, 1, 2, 2, 3, 4])))
            pattern = "".join(
                rand.choice(["a", "5", "."]) + rand.choice(["", "", "+", "*"])
                for _ in range(rand.choice([0, 1, 1, 2, 2])))
            offset = rand.choice([0, 0, 0, 0, 1])
            with self.subTest(
                    msg=
                    f'Trial {iter}: evaluating pattern "{pattern}" against "{literal_string}" at {offset}'
            ):
                check(pattern, literal_string, offset)
示例#14
0
 def test_proxy_type(self) -> None:
     with StateSpaceContext(SimpleStateSpace()):
         poke = make_fake_object(Pokeable, 'ppoke')
         self.assertIs(type(poke), Pokeable)
示例#15
0
 def test_proxy_type(self) -> None:
     with StateSpaceContext(SimpleStateSpace()):
         poke = proxy_class_as_masquerade(Pokeable, "ppoke")
         self.assertIs(type(poke), Pokeable)
示例#16
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class RegularExpressionUnitTests(unittest.TestCase):
    def setUp(self):
        self.space_ctx_ = StateSpaceContext(SimpleStateSpace())
        self.space_ctx_.__enter__()

    def tearDown(self):
        self.space_ctx_.__exit__(None, None, None)

    def test_handle_simple(self):
        self.assertIsNotNone(eval_regex('abc', 0, 'abc', 0))
        self.assertIsNone(eval_regex('abc', 0, 'ab', 0))

    def test_handle_or(self):
        self.assertIsNotNone(eval_regex('a|bc', 0, 'bc', 0))
        self.assertEqual(eval_regex('a|bc', 0, 'bc', 0).span(), (0, 2))

        self.assertIsNotNone(eval_regex('a|bc', 0, 'ab', 0))
        self.assertEqual(eval_regex('a|bc', 0, 'ab', 0).span(), (0, 1))

        self.assertIsNone(eval_regex('a|bc', 0, 'c', 0))
        self.assertIsNone(eval_regex('a|bc', 0, 'bd', 0))

    def test_handle_range(self):
        self.assertIsNotNone(eval_regex('[a-z]7', 0, 'b7', 0))
        self.assertIsNotNone(eval_regex('[a-z]7', 0, 'z7', 0))
        self.assertIsNone(eval_regex('[a-z]7', 0, 'A7', 0))

    def test_handle_ascii_wildcard(self):
        self.assertIsNotNone(eval_regex('1.2', re.A, '1x2', 0))
        self.assertIsNotNone(eval_regex('1.2', re.A, '1\x002', 0))
        self.assertIsNone(eval_regex('1.2', re.A, '111', 0))

    def test_handle_repeats(self):
        self.assertIsNotNone(eval_regex('a+a', 0, 'aa', 0))
        self.assertEqual(eval_regex('s', 0, 'ssss', 0).span(), (0, 1))
        self.assertEqual(eval_regex('ss', 0, 'ssss', 0).span(), (0, 2))
        self.assertIsNotNone(eval_regex('s{1,2}x', 0, 'sx', 0))
        self.assertIsNotNone(eval_regex('s{1,2}x', 0, 'ssx', 0))
        self.assertIsNone(eval_regex('s{1,2}x', 0, 'sssx', 0))
        self.assertIsNone(eval_regex('s{1,2}x', 0, 'x', 0))
        self.assertIsNotNone(eval_regex('s{2,3}', 0, 'ssss', 0))
        self.assertEqual(eval_regex('s{2,3}', 0, 'ssss', 0).span(), (0, 3))
        self.assertIsNotNone(eval_regex('y*', 0, 'y', 0))
        self.assertEqual(eval_regex('y*', 0, 'y', 0).span(), (0, 1))
        self.assertIsNotNone(eval_regex('y*e+', 0, 'ye', 0))
        self.assertIsNotNone(eval_regex('y*e', 0, 'yye', 0))
        self.assertEqual(eval_regex('y*e', 0, 'yye', 0).span(), (0, 3))
        self.assertIsNotNone(eval_regex('y*e+s{2,3}x', 0, 'yessx', 0))
        self.assertIsNotNone(eval_regex('y*e+s{2,3}x', 0, 'essx', 0))
        self.assertIsNone(eval_regex('y*e+s{2,3}x', 0, 'yyessssx', 0))
        self.assertIsNone(eval_regex('y*e+s{2,3}x', 0, 'yssx', 0))
        self.assertIsNone(eval_regex('y*e+s{2,3}x', 0, 'ex', 0))

    def test_handle_ascii_numeric(self):
        self.assertIsNotNone(eval_regex(r'a\d', re.A, 'a3', 0))
        self.assertIsNotNone(eval_regex(r'a\d', re.A, 'a0', 0))
        self.assertIsNone(eval_regex(r'a\d', re.A, 'a-', 0))

    def test_handle_noncapturing_subgroup(self):
        self.assertIsNotNone(eval_regex('(?:a|b)c', 0, 'ac', 0))
        self.assertIsNotNone(eval_regex('(?:a|b)c', 0, 'bc', 0))
        self.assertIsNone(eval_regex('(?:a|b)c', 0, 'a', 0))

    def test_handle_capturing_subgroup(self):
        self.assertIsNotNone(eval_regex('(a|b)c', 0, 'ac', 0))
        self.assertIsNone(eval_regex('(a|b)c', 0, 'a', 0))
        self.assertEqual(eval_regex('(a|b)c', 0, 'bc', 0).groups(), ('b', ))

    def test_handle_nested_subgroups(self):
        self.assertIsNotNone(eval_regex('(a|b(xx))+(c)?', 0, 'bxxc', 0))
        self.assertEqual(
            eval_regex('(bxx)(c)?', 0, 'bxxc', 0).groups(), ('bxx', 'c'))
        self.assertEqual(
            eval_regex('(a|b(xx))+(c)?', 0, 'bxxc', 0).groups(),
            ('bxx', 'xx', 'c'))
        self.assertEqual(
            eval_regex('(a|b(xx))+(c)?', 0, 'a', 0).groups(),
            ('a', None, None))

    def test_with_fuzzed_inputs(self) -> None:
        rand = random.Random(253209)

        def check(pattern, literal_string, offset):
            flags = re.ASCII | re.DOTALL
            sym_match = eval_regex(pattern, flags, literal_string, offset)
            py_match = re.compile(pattern, flags).match(literal_string, offset)
            if (sym_match is None) != (py_match is None):
                self.assertEqual(py_match, sym_match)
            if py_match is None:
                return
            self.assertEqual(py_match.span(), sym_match.span())
            self.assertEqual(py_match.group(0), sym_match.group(0))
            self.assertEqual(py_match.groups(), sym_match.groups())
            self.assertEqual(py_match.pos, sym_match.pos)
            self.assertEqual(py_match.endpos, sym_match.endpos)
            self.assertEqual(py_match.lastgroup, sym_match.lastgroup)

        for iter in range(100):
            literal_string = ''.join(
                rand.choice(['a', '5', '_'])
                for _ in range(rand.choice([0, 1, 1, 2, 2, 3, 4])))
            pattern = ''.join(
                rand.choice(['a', '5', '.']) + rand.choice(['', '', '+', '*'])
                for _ in range(rand.choice([0, 1, 1, 2, 2])))
            offset = rand.choice([0, 0, 0, 0, 1])
            with self.subTest(
                    msg=
                    f'Trial {iter}: evaluating pattern "{pattern}" against "{literal_string}" at {offset}'
            ):
                check(pattern, literal_string, offset)
    def run_trial(self, expr_str: str, arg_type_roots: Dict[str, Type],
                  trial_desc: str) -> TrialStatus:
        expr = expr_str.format(*arg_type_roots.keys())
        typed_args = {
            name: gen_type(self.r, type_root)
            for name, type_root in arg_type_roots.items()
        }
        literal_args = {
            name: value_for_type(typ, self.r)
            for name, typ in typed_args.items()
        }

        def symbolic_checker(space: StateSpace,
                             symbolic_args: Dict[str, object]) -> object:
            for name in typed_args.keys():
                literal, symbolic = literal_args[name], symbolic_args[name]
                if isinstance(literal, (set, frozenset, dict)):
                    assert isinstance(symbolic, Sized)
                    # We need not only equality, but equal ordering, because some operations
                    # like pop() are order-dependent:
                    if len(literal) != len(symbolic):
                        raise IgnoreAttempt(
                            f'symbolic "{name}" not equal to literal "{name}"')
                    if isinstance(literal, Mapping):
                        assert isinstance(symbolic, Mapping)
                        literal, symbolic = list(literal.items()), list(
                            symbolic.items())
                    else:
                        assert isinstance(symbolic, Iterable)
                        literal, symbolic = list(literal), list(symbolic)
                if literal != symbolic:
                    raise IgnoreAttempt(
                        f'symbolic "{name}" not equal to literal "{name}"')
            return eval(expr, symbolic_args.copy())

        with self.subTest(
                msg=f"Trial {trial_desc}: evaluating {expr} with {literal_args}"
        ):
            debug(f"  =====  {expr} with {literal_args}  =====  ")
            compiled = compile(expr, "<string>", "eval")
            postexec_literal_args = copy.deepcopy(literal_args)
            literal_ret, literal_exc = self.runexpr(expr,
                                                    postexec_literal_args)
            (
                symbolic_ret,
                postexec_symbolic_args,
                symbolic_exc,
                space,
            ) = self.symbolic_run(symbolic_checker, typed_args)
            if isinstance(symbolic_exc, CrosshairUnsupported):
                return TrialStatus.UNSUPPORTED
            with StateSpaceContext(space):
                # compare iterators as the values they produce:
                if isinstance(literal_ret, Iterable) and isinstance(
                        symbolic_ret, Iterable):
                    literal_ret = list(literal_ret)
                    symbolic_ret = list(symbolic_ret)
                rets_differ = bool(literal_ret != symbolic_ret)
                postexec_args_differ = bool(
                    postexec_literal_args != postexec_symbolic_args)
                if (rets_differ or postexec_args_differ
                        or type(literal_exc) != type(symbolic_exc)):
                    debug(
                        f"  *****  BEGIN FAILURE FOR {expr} WITH {literal_args}  *****  "
                    )
                    debug(f"  *****  Expected: {literal_ret} / {literal_exc}")
                    debug(f"  *****    {postexec_literal_args}")
                    debug(
                        f"  *****  Symbolic result: {symbolic_ret} / {symbolic_exc}"
                    )
                    debug(f"  *****    {postexec_symbolic_args}")
                    debug(f"  *****  END FAILURE FOR {expr}  *****  ")
                    self.assertEqual((literal_ret, literal_exc),
                                     (symbolic_ret, symbolic_exc))
                debug(" OK ret= ", literal_ret, symbolic_ret)
                debug(" OK exc= ", literal_exc, symbolic_exc)
        return TrialStatus.NORMAL
示例#18
0
def analyze_calltree(options: AnalysisOptions,
                     conditions: Conditions) -> CallTreeAnalysis:
    fn = conditions.fn
    debug('Begin analyze calltree ', fn.__name__)

    all_messages = MessageCollector()
    search_root = SinglePathNode(True)
    space_exhausted = False
    failing_precondition: Optional[
        ConditionExpr] = conditions.pre[0] if conditions.pre else None
    failing_precondition_reason: str = ''
    num_confirmed_paths = 0

    _ = get_subclass_map()  # ensure loaded
    short_circuit = ShortCircuitingContext()
    top_analysis: Optional[CallAnalysis] = None
    enforced_conditions = EnforcedConditions(
        options.condition_parser(),
        fn_globals(fn),
        builtin_patches(),
        interceptor=short_circuit.make_interceptor)

    def in_symbolic_mode():
        space = optional_context_statespace()
        return space and not space.running_framework_code

    patched = Patched(in_symbolic_mode)
    with enforced_conditions, patched, enforced_conditions.disabled_enforcement(
    ):
        for i in itertools.count(1):
            start = time.monotonic()
            if start > options.deadline:
                debug('Exceeded condition timeout, stopping')
                break
            options.incr('num_paths')
            debug('Iteration ', i)
            space = TrackingStateSpace(
                execution_deadline=start + options.per_path_timeout,
                model_check_timeout=options.per_path_timeout / 2,
                search_root=search_root)
            try:
                # The real work happens here!:
                with StateSpaceContext(space):
                    call_analysis = attempt_call(conditions, fn, short_circuit,
                                                 enforced_conditions)
                if failing_precondition is not None:
                    cur_precondition = call_analysis.failing_precondition
                    if cur_precondition is None:
                        if call_analysis.verification_status is not None:
                            # We escaped the all the pre conditions on this try:
                            failing_precondition = None
                    elif (cur_precondition.line == failing_precondition.line
                          and call_analysis.failing_precondition_reason):
                        failing_precondition_reason = call_analysis.failing_precondition_reason
                    elif cur_precondition.line > failing_precondition.line:
                        failing_precondition = cur_precondition
                        failing_precondition_reason = call_analysis.failing_precondition_reason

            except UnexploredPath:
                call_analysis = CallAnalysis(VerificationStatus.UNKNOWN)
            except IgnoreAttempt:
                call_analysis = CallAnalysis()
            status = call_analysis.verification_status
            if status == VerificationStatus.CONFIRMED:
                num_confirmed_paths += 1
            top_analysis, space_exhausted = space.bubble_status(call_analysis)
            overall_status = top_analysis.verification_status if top_analysis else None
            debug('Iter complete. Worst status found so far:',
                  overall_status.name if overall_status else 'None')
            if space_exhausted or top_analysis == VerificationStatus.REFUTED:
                break
    top_analysis = search_root.child.get_result()
    if top_analysis.messages:
        #log = space.execution_log()
        all_messages.extend(
            replace(
                m,
                #execution_log=log,
                test_fn=fn.__qualname__,
                condition_src=conditions.post[0].expr_source)
            for m in top_analysis.messages)
    if top_analysis.verification_status is None:
        top_analysis.verification_status = VerificationStatus.UNKNOWN
    if failing_precondition:
        assert num_confirmed_paths == 0
        addl_ctx = ' ' + failing_precondition.addl_context if failing_precondition.addl_context else ''
        message = f'Unable to meet precondition{addl_ctx}'
        if failing_precondition_reason:
            message += f' (possibly because {failing_precondition_reason}?)'
        all_messages.extend([
            AnalysisMessage(MessageType.PRE_UNSAT, message + '.',
                            failing_precondition.filename,
                            failing_precondition.line, 0, '')
        ])
        top_analysis = CallAnalysis(VerificationStatus.REFUTED)

    assert top_analysis.verification_status is not None
    debug(
        ('Exhausted' if space_exhausted else 'Aborted'),
        ' calltree search with', top_analysis.verification_status.name, 'and',
        len(all_messages.get()), 'messages.', 'Number of iterations: ', i)
    return CallTreeAnalysis(
        messages=all_messages.get(),
        verification_status=top_analysis.verification_status,
        num_confirmed_paths=num_confirmed_paths)
示例#19
0
 def test_smtfloat_like_a_float(self):
     with StateSpaceContext(SimpleStateSpace()):
         self.assertEqual(type(SymbolicFloat(12)), float)
         self.assertEqual(SymbolicFloat(12), 12.0)