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How to use wrapped_test method in hypothesis

Best Python code snippet using hypothesis

core.py

Source:core.py

...192    When the user runs a subset of tests (e.g via ``pytest -k``), errors will193    only be reported for tests that actually ran.194    """195    def invalid(message):196        def wrapped_test(*arguments, **kwargs):197            raise InvalidArgument(message)198        wrapped_test.is_hypothesis_test = True199        return wrapped_test200    if not (given_arguments or given_kwargs):201        return invalid("given must be called with at least one argument")202    if given_arguments and any(203        [original_argspec.varargs, original_argspec.varkw, original_argspec.kwonlyargs]204    ):205        return invalid(206            "positional arguments to @given are not supported with varargs, "207            "varkeywords, or keyword-only arguments"208        )209    if len(given_arguments) > len(original_argspec.args):210        args = tuple(given_arguments)211        return invalid(212            "Too many positional arguments for %s() were passed to @given "213            "- expected at most %d arguments, but got %d %r"214            % (name, len(original_argspec.args), len(args), args)215        )216    if infer in given_arguments:217        return invalid(218            "infer was passed as a positional argument to @given, "219            "but may only be passed as a keyword argument"220        )221    if given_arguments and given_kwargs:222        return invalid("cannot mix positional and keyword arguments to @given")223    extra_kwargs = [224        k225        for k in given_kwargs226        if k not in original_argspec.args + original_argspec.kwonlyargs227    ]228    if extra_kwargs and not original_argspec.varkw:229        arg = extra_kwargs[0]230        return invalid(231            "%s() got an unexpected keyword argument %r, from `%s=%r` in @given"232            % (name, arg, arg, given_kwargs[arg])233        )234    if original_argspec.defaults or original_argspec.kwonlydefaults:235        return invalid("Cannot apply @given to a function with defaults.")236    missing = [repr(kw) for kw in original_argspec.kwonlyargs if kw not in given_kwargs]237    if missing:238        return invalid(239            "Missing required kwarg{}: {}".format(240                "s" if len(missing) > 1 else "", ", ".join(missing)241            )242        )243class ArtificialDataForExample(ConjectureData):244    """Dummy object that pretends to be a ConjectureData object for the purposes of245    drawing arguments for @example. Provides just enough of the ConjectureData API246    to allow the test to run. Does not support any sort of interactive drawing,247    but that's fine because you can't access that when all of your arguments are248    provided by @example.249    """250    def __init__(self, kwargs):251        self.__draws = 0252        self.__kwargs = kwargs253        super().__init__(max_length=0, prefix=b"", random=None)254    def draw_bits(self, n):255        raise NotImplementedError("Dummy object should never be asked for bits.")256    def draw(self, strategy):257        assert self.__draws == 0258        self.__draws += 1259        # The main strategy for given is always a tuples strategy that returns260        # first positional arguments then keyword arguments. When building this261        # object already converted all positional arguments to keyword arguments,262        # so this is the correct format to return.263        return (), self.__kwargs264def execute_explicit_examples(state, wrapped_test, arguments, kwargs):265    original_argspec = getfullargspec(state.test)266    for example in reversed(getattr(wrapped_test, "hypothesis_explicit_examples", ())):267        example_kwargs = dict(original_argspec.kwonlydefaults or {})268        if example.args:269            if len(example.args) > len(original_argspec.args):270                raise InvalidArgument(271                    "example has too many arguments for test. "272                    "Expected at most %d but got %d"273                    % (len(original_argspec.args), len(example.args))274                )275            example_kwargs.update(276                dict(zip(original_argspec.args[-len(example.args) :], example.args))277            )278        else:279            example_kwargs.update(example.kwargs)280        if Phase.explicit not in state.settings.phases:281            continue282        example_kwargs.update(kwargs)283        with local_settings(state.settings):284            fragments_reported = []285            try:286                with with_reporter(fragments_reported.append):287                    state.execute_once(288                        ArtificialDataForExample(example_kwargs),289                        is_final=True,290                        print_example=True,291                    )292            except UnsatisfiedAssumption:293                # Odd though it seems, we deliberately support explicit examples that294                # are then rejected by a call to `assume()`.  As well as iterative295                # development, this is rather useful to replay Hypothesis' part of296                # a saved failure when other arguments are supplied by e.g. pytest.297                # See https://github.com/HypothesisWorks/hypothesis/issues/2125298                pass299            except BaseException as err:300                # In order to support reporting of multiple failing examples, we yield301                # each of the (report text, error) pairs we find back to the top-level302                # runner.  This also ensures that user-facing stack traces have as few303                # frames of Hypothesis internals as possible.304                yield (fragments_reported, err.with_traceback(get_trimmed_traceback()))305                if state.settings.report_multiple_bugs:306                    continue307                break308            finally:309                assert fragments_reported[0].startswith("Falsifying example")310                fragments_reported[0] = fragments_reported[0].replace(311                    "Falsifying example", "Falsifying explicit example", 1312                )313            verbose_report(fragments_reported[0].replace("Falsifying", "Trying", 1))314            for f in fragments_reported[1:]:315                verbose_report(f)316def get_random_for_wrapped_test(test, wrapped_test):317    settings = wrapped_test._hypothesis_internal_use_settings318    wrapped_test._hypothesis_internal_use_generated_seed = None319    if wrapped_test._hypothesis_internal_use_seed is not None:320        return Random(wrapped_test._hypothesis_internal_use_seed)321    elif settings.derandomize:322        return Random(int_from_bytes(function_digest(test)))323    elif global_force_seed is not None:324        return Random(global_force_seed)325    else:326        seed = rnd_module.getrandbits(128)327        wrapped_test._hypothesis_internal_use_generated_seed = seed328        return Random(seed)329def process_arguments_to_given(wrapped_test, arguments, kwargs, given_kwargs, argspec):330    selfy = None331    arguments, kwargs = convert_positional_arguments(wrapped_test, arguments, kwargs)332    # If the test function is a method of some kind, the bound object333    # will be the first named argument if there are any, otherwise the334    # first vararg (if any).335    if argspec.args:336        selfy = kwargs.get(argspec.args[0])337    elif arguments:338        selfy = arguments[0]339    # Ensure that we don't mistake mocks for self here.340    # This can cause the mock to be used as the test runner.341    if is_mock(selfy):342        selfy = None343    test_runner = new_style_executor(selfy)344    arguments = tuple(arguments)345    # We use TupleStrategy over tuples() here to avoid polluting346    # st.STRATEGY_CACHE with references (see #493), and because this is347    # trivial anyway if the fixed_dictionaries strategy is cacheable.348    search_strategy = TupleStrategy(349        (350            st.just(arguments),351            st.fixed_dictionaries(given_kwargs).map(lambda args: dict(args, **kwargs)),352        )353    )354    if selfy is not None:355        search_strategy = WithRunner(search_strategy, selfy)356    search_strategy.validate()357    return arguments, kwargs, test_runner, search_strategy358def skip_exceptions_to_reraise():359    """Return a tuple of exceptions meaning 'skip this test', to re-raise.360    This is intended to cover most common test runners; if you would361    like another to be added please open an issue or pull request adding362    it to this function and to tests/cover/test_lazy_import.py363    """364    # This is a set because nose may simply re-export unittest.SkipTest365    exceptions = set()366    # We use this sys.modules trick to avoid importing libraries -367    # you can't be an instance of a type from an unimported module!368    # This is fast enough that we don't need to cache the result,369    # and more importantly it avoids possible side-effects :-)370    if "unittest" in sys.modules:371        exceptions.add(sys.modules["unittest"].SkipTest)372    if "unittest2" in sys.modules:  # pragma: no cover373        exceptions.add(sys.modules["unittest2"].SkipTest)374    if "nose" in sys.modules:  # pragma: no cover375        exceptions.add(sys.modules["nose"].SkipTest)376    if "_pytest" in sys.modules:  # pragma: no branch377        exceptions.add(sys.modules["_pytest"].outcomes.Skipped)378    return tuple(sorted(exceptions, key=str))379def failure_exceptions_to_catch():380    """Return a tuple of exceptions meaning 'this test has failed', to catch.381    This is intended to cover most common test runners; if you would382    like another to be added please open an issue or pull request.383    """384    exceptions = [Exception]385    if "_pytest" in sys.modules:  # pragma: no branch386        exceptions.append(sys.modules["_pytest"].outcomes.Failed)387    return tuple(exceptions)388def new_given_argspec(original_argspec, given_kwargs):389    """Make an updated argspec for the wrapped test."""390    new_args = [a for a in original_argspec.args if a not in given_kwargs]391    new_kwonlyargs = [a for a in original_argspec.kwonlyargs if a not in given_kwargs]392    annots = {393        k: v394        for k, v in original_argspec.annotations.items()395        if k in new_args + new_kwonlyargs396    }397    annots["return"] = None398    return original_argspec._replace(399        args=new_args, kwonlyargs=new_kwonlyargs, annotations=annots400    )401class StateForActualGivenExecution:402    def __init__(403        self, test_runner, search_strategy, test, settings, random, wrapped_test404    ):405        self.test_runner = test_runner406        self.search_strategy = search_strategy407        self.settings = settings408        self.last_exception = None409        self.falsifying_examples = ()410        self.__was_flaky = False411        self.random = random412        self.__warned_deadline = False413        self.__test_runtime = None414        self.__had_seed = wrapped_test._hypothesis_internal_use_seed415        self.is_find = getattr(wrapped_test, "_hypothesis_internal_is_find", False)416        self.wrapped_test = wrapped_test417        self.test = test418        self.print_given_args = getattr(419            wrapped_test, "_hypothesis_internal_print_given_args", True420        )421        self.files_to_propagate = set()422        self.failed_normally = False423    def execute_once(424        self, data, print_example=False, is_final=False, expected_failure=None425    ):426        """Run the test function once, using ``data`` as input.427        If the test raises an exception, it will propagate through to the428        caller of this method. Depending on its type, this could represent429        an ordinary test failure, or a fatal error, or a control exception.430        If this method returns normally, the test might have passed, or431        it might have placed ``data`` in an unsuccessful state and then432        swallowed the corresponding control exception.433        """434        data.is_find = self.is_find435        text_repr = [None]436        if self.settings.deadline is None:437            test = self.test438        else:439            @proxies(self.test)440            def test(*args, **kwargs):441                self.__test_runtime = None442                initial_draws = len(data.draw_times)443                start = time.perf_counter()444                result = self.test(*args, **kwargs)445                finish = time.perf_counter()446                internal_draw_time = sum(data.draw_times[initial_draws:])447                runtime = datetime.timedelta(448                    seconds=finish - start - internal_draw_time449                )450                self.__test_runtime = runtime451                current_deadline = self.settings.deadline452                if not is_final:453                    current_deadline = (current_deadline // 4) * 5454                if runtime >= current_deadline:455                    raise DeadlineExceeded(runtime, self.settings.deadline)456                return result457        def run(data):458            # Set up dynamic context needed by a single test run.459            with local_settings(self.settings):460                with deterministic_PRNG():461                    with BuildContext(data, is_final=is_final):462                        # Generate all arguments to the test function.463                        args, kwargs = data.draw(self.search_strategy)464                        if expected_failure is not None:465                            text_repr[0] = arg_string(test, args, kwargs)466                        if print_example or current_verbosity() >= Verbosity.verbose:467                            output = StringIO()468                            printer = RepresentationPrinter(output)469                            if print_example:470                                printer.text("Falsifying example:")471                            else:472                                printer.text("Trying example:")473                            if self.print_given_args:474                                printer.text(" ")475                                printer.text(test.__name__)476                                with printer.group(indent=4, open="(", close=""):477                                    printer.break_()478                                    for v in args:479                                        printer.pretty(v)480                                        # We add a comma unconditionally because481                                        # generated arguments will always be482                                        # kwargs, so there will always be more483                                        # to come.484                                        printer.text(",")485                                        printer.breakable()486                                    # We need to make sure to print these in the487                                    # argument order for Python 2 and older versions488                                    # of Python 3.5. In modern versions this isn't489                                    # an issue because kwargs is ordered.490                                    arg_order = {491                                        v: i492                                        for i, v in enumerate(493                                            getfullargspec(self.test).args494                                        )495                                    }496                                    for i, (k, v) in enumerate(497                                        sorted(498                                            kwargs.items(),499                                            key=lambda t: (500                                                arg_order.get(t[0], float("inf")),501                                                t[0],502                                            ),503                                        )504                                    ):505                                        printer.text(k)506                                        printer.text("=")507                                        printer.pretty(v)508                                        printer.text(",")509                                        if i + 1 < len(kwargs):510                                            printer.breakable()511                                printer.break_()512                                printer.text(")")513                            printer.flush()514                            report(output.getvalue())515                        return test(*args, **kwargs)516        # Run the test function once, via the executor hook.517        # In most cases this will delegate straight to `run(data)`.518        result = self.test_runner(data, run)519        # If a failure was expected, it should have been raised already, so520        # instead raise an appropriate diagnostic error.521        if expected_failure is not None:522            exception, traceback = expected_failure523            if (524                isinstance(exception, DeadlineExceeded)525                and self.__test_runtime is not None526            ):527                report(528                    (529                        "Unreliable test timings! On an initial run, this "530                        "test took %.2fms, which exceeded the deadline of "531                        "%.2fms, but on a subsequent run it took %.2f ms, "532                        "which did not. If you expect this sort of "533                        "variability in your test timings, consider turning "534                        "deadlines off for this test by setting deadline=None."535                    )536                    % (537                        exception.runtime.total_seconds() * 1000,538                        self.settings.deadline.total_seconds() * 1000,539                        self.__test_runtime.total_seconds() * 1000,540                    )541                )542            else:543                report("Failed to reproduce exception. Expected: \n" + traceback)544            self.__flaky(545                (546                    "Hypothesis %s(%s) produces unreliable results: Falsified"547                    " on the first call but did not on a subsequent one"548                )549                % (test.__name__, text_repr[0])550            )551        return result552    def _execute_once_for_engine(self, data):553        """Wrapper around ``execute_once`` that intercepts test failure554        exceptions and single-test control exceptions, and turns them into555        appropriate method calls to `data` instead.556        This allows the engine to assume that any exception other than557        ``StopTest`` must be a fatal error, and should stop the entire engine.558        """559        try:560            result = self.execute_once(data)561            if result is not None:562                fail_health_check(563                    self.settings,564                    (565                        "Tests run under @given should return None, but "566                        "%s returned %r instead."567                    )568                    % (self.test.__name__, result),569                    HealthCheck.return_value,570                )571        except UnsatisfiedAssumption:572            # An "assume" check failed, so instead we inform the engine that573            # this test run was invalid.574            data.mark_invalid()575        except StopTest:576            # The engine knows how to handle this control exception, so it's577            # OK to re-raise it.578            raise579        except (580            HypothesisDeprecationWarning,581            FailedHealthCheck,582        ) + skip_exceptions_to_reraise():583            # These are fatal errors or control exceptions that should stop the584            # engine, so we re-raise them.585            raise586        except failure_exceptions_to_catch() as e:587            # If the error was raised by Hypothesis-internal code, re-raise it588            # as a fatal error instead of treating it as a test failure.589            escalate_hypothesis_internal_error()590            if data.frozen:591                # This can happen if an error occurred in a finally592                # block somewhere, suppressing our original StopTest.593                # We raise a new one here to resume normal operation.594                raise StopTest(data.testcounter)595            else:596                # The test failed by raising an exception, so we inform the597                # engine that this test run was interesting. This is the normal598                # path for test runs that fail.599                tb = get_trimmed_traceback()600                info = data.extra_information601                info.__expected_traceback = "".join(602                    traceback.format_exception(type(e), e, tb)603                )604                info.__expected_exception = e605                verbose_report(info.__expected_traceback)606                origin = traceback.extract_tb(tb)[-1]607                filename = origin[0]608                lineno = origin[1]609                data.mark_interesting((type(e), filename, lineno))610    def run_engine(self):611        """Run the test function many times, on database input and generated612        input, using the Conjecture engine.613        """614        # Tell pytest to omit the body of this function from tracebacks615        __tracebackhide__ = True616        try:617            database_key = self.wrapped_test._hypothesis_internal_database_key618        except AttributeError:619            if global_force_seed is None:620                database_key = function_digest(self.test)621            else:622                database_key = None623        runner = ConjectureRunner(624            self._execute_once_for_engine,625            settings=self.settings,626            random=self.random,627            database_key=database_key,628        )629        # Use the Conjecture engine to run the test function many times630        # on different inputs.631        runner.run()632        note_statistics(runner.statistics)633        if runner.call_count == 0:634            return635        if runner.interesting_examples:636            self.falsifying_examples = sorted(637                runner.interesting_examples.values(),638                key=lambda d: sort_key(d.buffer),639                reverse=True,640            )641        else:642            if runner.valid_examples == 0:643                raise Unsatisfiable(644                    "Unable to satisfy assumptions of hypothesis %s."645                    % (get_pretty_function_description(self.test),)646                )647        if not self.falsifying_examples:648            return649        elif not self.settings.report_multiple_bugs:650            # Pretend that we only found one failure, by discarding the others.651            del self.falsifying_examples[:-1]652        # The engine found one or more failures, so we need to reproduce and653        # report them.654        self.failed_normally = True655        flaky = 0656        if runner.best_observed_targets:657            for line in describe_targets(runner.best_observed_targets):658                report(line)659            report("")660        for falsifying_example in self.falsifying_examples:661            info = falsifying_example.extra_information662            ran_example = ConjectureData.for_buffer(falsifying_example.buffer)663            self.__was_flaky = False664            assert info.__expected_exception is not None665            try:666                self.execute_once(667                    ran_example,668                    print_example=not self.is_find,669                    is_final=True,670                    expected_failure=(671                        info.__expected_exception,672                        info.__expected_traceback,673                    ),674                )675            except (UnsatisfiedAssumption, StopTest):676                report(traceback.format_exc())677                self.__flaky(678                    "Unreliable assumption: An example which satisfied "679                    "assumptions on the first run now fails it."680                )681            except BaseException as e:682                if len(self.falsifying_examples) <= 1:683                    # There is only one failure, so we can report it by raising684                    # it directly.685                    raise686                # We are reporting multiple failures, so we need to manually687                # print each exception's stack trace and information.688                tb = get_trimmed_traceback()689                report("".join(traceback.format_exception(type(e), e, tb)))690            finally:  # pragma: no cover691                # Mostly useful for ``find`` and ensuring that objects that692                # hold on to a reference to ``data`` know that it's now been693                # finished and they shouldn't attempt to draw more data from694                # it.695                ran_example.freeze()696                # This section is in fact entirely covered by the tests in697                # test_reproduce_failure, but it seems to trigger a lovely set698                # of coverage bugs: The branches show up as uncovered (despite699                # definitely being covered - you can add an assert False else700                # branch to verify this and see it fail - and additionally the701                # second branch still complains about lack of coverage even if702                # you add a pragma: no cover to it!703                # See https://bitbucket.org/ned/coveragepy/issues/623/704                if self.settings.print_blob:705                    report(706                        (707                            "\nYou can reproduce this example by temporarily "708                            "adding @reproduce_failure(%r, %r) as a decorator "709                            "on your test case"710                        )711                        % (__version__, encode_failure(falsifying_example.buffer))712                    )713            if self.__was_flaky:714                flaky += 1715        # If we only have one example then we should have raised an error or716        # flaky prior to this point.717        assert len(self.falsifying_examples) > 1718        if flaky > 0:719            raise Flaky(720                (721                    "Hypothesis found %d distinct failures, but %d of them "722                    "exhibited some sort of flaky behaviour."723                )724                % (len(self.falsifying_examples), flaky)725            )726        else:727            raise MultipleFailures(728                ("Hypothesis found %d distinct failures.")729                % (len(self.falsifying_examples))730            )731    def __flaky(self, message):732        if len(self.falsifying_examples) <= 1:733            raise Flaky(message)734        else:735            self.__was_flaky = True736            report("Flaky example! " + message)737@contextlib.contextmanager738def fake_subTest(self, msg=None, **__):739    """Monkeypatch for `unittest.TestCase.subTest` during `@given`.740    If we don't patch this out, each failing example is reported as a741    separate failing test by the unittest test runner, which is742    obviously incorrect. We therefore replace it for the duration with743    this version.744    """745    warnings.warn(746        "subTest per-example reporting interacts badly with Hypothesis "747        "trying hundreds of examples, so we disable it for the duration of "748        "any test that uses `@given`.",749        HypothesisWarning,750        stacklevel=2,751    )752    yield753@attr.s()754class HypothesisHandle:755    """This object is provided as the .hypothesis attribute on @given tests.756    Downstream users can reassign its attributes to insert custom logic into757    the execution of each case, for example by converting an async into a758    sync function.759    This must be an attribute of an attribute, because reassignment of a760    first-level attribute would not be visible to Hypothesis if the function761    had been decorated before the assignment.762    See https://github.com/HypothesisWorks/hypothesis/issues/1257 for more763    information.764    """765    inner_test = attr.ib()766    _get_fuzz_target = attr.ib()767    _given_kwargs = attr.ib()768    @property769    def fuzz_one_input(770        self,771    ) -> Callable[[Union[bytes, bytearray, memoryview, BinaryIO]], Optional[bytes]]:772        """Run the test as a fuzz target, driven with the `buffer` of bytes.773        Returns None if buffer invalid for the strategy, canonical pruned774        bytes if the buffer was valid, and leaves raised exceptions alone.775        Note: this feature is experimental and may change or be removed.776        """777        # Note: most users, if they care about fuzzer performance, will access the778        # property and assign it to a local variable to move the attribute lookup779        # outside their fuzzing loop / before the fork point.  We cache it anyway,780        # so that naive or unusual use-cases get the best possible performance too.781        try:782            return self.__cached_target  # type: ignore783        except AttributeError:784            self.__cached_target = self._get_fuzz_target()785            return self.__cached_target786def given(787    *_given_arguments: Union[SearchStrategy, InferType],788    **_given_kwargs: Union[SearchStrategy, InferType],789) -> Callable[[Callable[..., None]], Callable[..., None]]:790    """A decorator for turning a test function that accepts arguments into a791    randomized test.792    This is the main entry point to Hypothesis.793    """794    def run_test_as_given(test):795        if inspect.isclass(test):796            # Provide a meaningful error to users, instead of exceptions from797            # internals that assume we're dealing with a function.798            raise InvalidArgument("@given cannot be applied to a class.")799        given_arguments = tuple(_given_arguments)800        given_kwargs = dict(_given_kwargs)801        original_argspec = getfullargspec(test)802        check_invalid = is_invalid_test(803            test.__name__, original_argspec, given_arguments, given_kwargs804        )805        # If the argument check found problems, return a dummy test function806        # that will raise an error if it is actually called.807        if check_invalid is not None:808            return check_invalid809        # Because the argument check succeeded, we can convert @given's810        # positional arguments into keyword arguments for simplicity.811        if given_arguments:812            assert not given_kwargs813            for name, strategy in zip(814                reversed(original_argspec.args), reversed(given_arguments)815            ):816                given_kwargs[name] = strategy817        # These have been converted, so delete them to prevent accidental use.818        del given_arguments819        argspec = new_given_argspec(original_argspec, given_kwargs)820        # Use type information to convert "infer" arguments into appropriate strategies.821        if infer in given_kwargs.values():822            hints = get_type_hints(test)823        for name in [name for name, value in given_kwargs.items() if value is infer]:824            if name not in hints:825                # As usual, we want to emit this error when the test is executed,826                # not when it's decorated.827                @impersonate(test)828                @define_function_signature(test.__name__, test.__doc__, argspec)829                def wrapped_test(*arguments, **kwargs):830                    __tracebackhide__ = True831                    raise InvalidArgument(832                        "passed %s=infer for %s, but %s has no type annotation"833                        % (name, test.__name__, name)834                    )835                return wrapped_test836            given_kwargs[name] = st.from_type(hints[name])837        @impersonate(test)838        @define_function_signature(test.__name__, test.__doc__, argspec)839        def wrapped_test(*arguments, **kwargs):840            # Tell pytest to omit the body of this function from tracebacks841            __tracebackhide__ = True842            test = wrapped_test.hypothesis.inner_test843            if getattr(test, "is_hypothesis_test", False):844                raise InvalidArgument(845                    (846                        "You have applied @given to the test %s more than once, which "847                        "wraps the test several times and is extremely slow. A "848                        "similar effect can be gained by combining the arguments "849                        "of the two calls to given. For example, instead of "850                        "@given(booleans()) @given(integers()), you could write "851                        "@given(booleans(), integers())"852                    )853                    % (test.__name__,)854                )855            settings = wrapped_test._hypothesis_internal_use_settings856            random = get_random_for_wrapped_test(test, wrapped_test)857            processed_args = process_arguments_to_given(858                wrapped_test, arguments, kwargs, given_kwargs, argspec859            )860            arguments, kwargs, test_runner, search_strategy = processed_args861            runner = getattr(search_strategy, "runner", None)862            if isinstance(runner, TestCase) and test.__name__ in dir(TestCase):863                msg = (864                    "You have applied @given to the method %s, which is "865                    "used by the unittest runner but is not itself a test."866                    "  This is not useful in any way." % test.__name__867                )868                fail_health_check(settings, msg, HealthCheck.not_a_test_method)869            if bad_django_TestCase(runner):  # pragma: no cover870                # Covered by the Django tests, but not the pytest coverage task871                raise InvalidArgument(872                    "You have applied @given to a method on %s, but this "873                    "class does not inherit from the supported versions in "874                    "`hypothesis.extra.django`.  Use the Hypothesis variants "875                    "to ensure that each example is run in a separate "876                    "database transaction." % qualname(type(runner))877                )878            state = StateForActualGivenExecution(879                test_runner, search_strategy, test, settings, random, wrapped_test880            )881            reproduce_failure = wrapped_test._hypothesis_internal_use_reproduce_failure882            # If there was a @reproduce_failure decorator, use it to reproduce883            # the error (or complain that we couldn't). Either way, this will884            # always raise some kind of error.885            if reproduce_failure is not None:886                expected_version, failure = reproduce_failure887                if expected_version != __version__:888                    raise InvalidArgument(889                        (890                            "Attempting to reproduce a failure from a different "891                            "version of Hypothesis. This failure is from %s, but "892                            "you are currently running %r. Please change your "893                            "Hypothesis version to a matching one."894                        )895                        % (expected_version, __version__)896                    )897                try:898                    state.execute_once(899                        ConjectureData.for_buffer(decode_failure(failure)),900                        print_example=True,901                        is_final=True,902                    )903                    raise DidNotReproduce(904                        "Expected the test to raise an error, but it "905                        "completed successfully."906                    )907                except StopTest:908                    raise DidNotReproduce(909                        "The shape of the test data has changed in some way "910                        "from where this blob was defined. Are you sure "911                        "you're running the same test?"912                    )913                except UnsatisfiedAssumption:914                    raise DidNotReproduce(915                        "The test data failed to satisfy an assumption in the "916                        "test. Have you added it since this blob was "917                        "generated?"918                    )919            # There was no @reproduce_failure, so start by running any explicit920            # examples from @example decorators.921            errors = list(922                execute_explicit_examples(state, wrapped_test, arguments, kwargs)923            )924            with local_settings(state.settings):925                if len(errors) > 1:926                    # If we're not going to report multiple bugs, we would have927                    # stopped running explicit examples at the first failure.928                    assert state.settings.report_multiple_bugs929                    for fragments, err in errors:930                        for f in fragments:931                            report(f)932                        tb_lines = traceback.format_exception(933                            type(err), err, err.__traceback__934                        )935                        report("".join(tb_lines))936                    msg = "Hypothesis found %d failures in explicit examples."937                    raise MultipleFailures(msg % (len(errors)))938                elif errors:939                    fragments, the_error_hypothesis_found = errors[0]940                    for f in fragments:941                        report(f)942                    raise the_error_hypothesis_found943            # If there were any explicit examples, they all ran successfully.944            # The next step is to use the Conjecture engine to run the test on945            # many different inputs.946            if not (947                Phase.reuse in settings.phases or Phase.generate in settings.phases948            ):949                return950            try:951                if isinstance(runner, TestCase) and hasattr(runner, "subTest"):952                    subTest = runner.subTest953                    try:954                        runner.subTest = types.MethodType(fake_subTest, runner)955                        state.run_engine()956                    finally:957                        runner.subTest = subTest958                else:959                    state.run_engine()960            except BaseException as e:961                # The exception caught here should either be an actual test962                # failure (or MultipleFailures), or some kind of fatal error963                # that caused the engine to stop.964                generated_seed = wrapped_test._hypothesis_internal_use_generated_seed965                with local_settings(settings):966                    if not (state.failed_normally or generated_seed is None):967                        if running_under_pytest:968                            report(969                                "You can add @seed(%(seed)d) to this test or "970                                "run pytest with --hypothesis-seed=%(seed)d "971                                "to reproduce this failure." % {"seed": generated_seed}972                            )973                        else:974                            report(975                                "You can add @seed(%d) to this test to "976                                "reproduce this failure." % (generated_seed,)977                            )978                    # The dance here is to avoid showing users long tracebacks979                    # full of Hypothesis internals they don't care about.980                    # We have to do this inline, to avoid adding another981                    # internal stack frame just when we've removed the rest.982                    #983                    # Using a variable for our trimmed error ensures that the line984                    # which will actually appear in tracebacks is as clear as985                    # possible - "raise the_error_hypothesis_found".986                    the_error_hypothesis_found = e.with_traceback(987                        get_trimmed_traceback()988                    )989                    raise the_error_hypothesis_found990        def _get_fuzz_target() -> Callable[991            [Union[bytes, bytearray, memoryview, BinaryIO]], Optional[bytes]992        ]:993            # Because fuzzing interfaces are very performance-sensitive, we use a994            # somewhat more complicated structure here.  `_get_fuzz_target()` is995            # called by the `HypothesisHandle.fuzz_one_input` property, allowing996            # us to defer our collection of the settings, random instance, and997            # reassignable `inner_test` (etc) until `fuzz_one_input` is accessed.998            #999            # We then share the performance cost of setting up `state` between1000            # many invocations of the target.  We explicitly force `deadline=None`1001            # for performance reasons, saving ~40% the runtime of an empty test.1002            test = wrapped_test.hypothesis.inner_test1003            settings = Settings(1004                parent=wrapped_test._hypothesis_internal_use_settings, deadline=None1005            )1006            random = get_random_for_wrapped_test(test, wrapped_test)1007            _args, _kwargs, test_runner, search_strategy = process_arguments_to_given(1008                wrapped_test, (), {}, given_kwargs, argspec1009            )1010            assert not _args1011            assert not _kwargs1012            state = StateForActualGivenExecution(1013                test_runner, search_strategy, test, settings, random, wrapped_test1014            )1015            digest = function_digest(test)1016            def fuzz_one_input(1017                buffer: Union[bytes, bytearray, memoryview, BinaryIO]1018            ) -> Optional[bytes]:1019                # This inner part is all that the fuzzer will actually run,1020                # so we keep it as small and as fast as possible....

_hypothesis.py

Source:_hypothesis.py

1"""Provide strategies for given endpoint(s) definition."""2import asyncio3from typing import Any, Callable, Dict, List, Optional, Tuple, Union4import hypothesis5from hypothesis import strategies as st6from hypothesis.strategies import SearchStrategy7from hypothesis.utils.conventions import InferType8from .constants import DEFAULT_DEADLINE, DataGenerationMethod9from .exceptions import InvalidSchema10from .hooks import GLOBAL_HOOK_DISPATCHER, HookContext, HookDispatcher11from .models import Case, Endpoint12from .stateful import Feedback, Stateful13GivenInput = Union[SearchStrategy, InferType]14def create_test(15    *,16    endpoint: Endpoint,17    test: Callable,18    settings: Optional[hypothesis.settings] = None,19    seed: Optional[int] = None,20    data_generation_method: DataGenerationMethod = DataGenerationMethod.default(),21    _given_args: Tuple[GivenInput, ...] = (),22    _given_kwargs: Optional[Dict[str, GivenInput]] = None,23) -> Callable:24    """Create a Hypothesis test."""25    hook_dispatcher = getattr(test, "_schemathesis_hooks", None)26    feedback: Optional[Feedback]27    if endpoint.schema.stateful == Stateful.links:28        feedback = Feedback(endpoint.schema.stateful, endpoint)29    else:30        feedback = None31    strategy = endpoint.as_strategy(32        hooks=hook_dispatcher, feedback=feedback, data_generation_method=data_generation_method33    )34    _given_kwargs = (_given_kwargs or {}).copy()35    _given_kwargs.setdefault("case", strategy)36    wrapped_test = hypothesis.given(*_given_args, **_given_kwargs)(test)37    if seed is not None:38        wrapped_test = hypothesis.seed(seed)(wrapped_test)39    if asyncio.iscoroutinefunction(test):40        wrapped_test.hypothesis.inner_test = make_async_test(test)  # type: ignore41    setup_default_deadline(wrapped_test)42    if settings is not None:43        wrapped_test = settings(wrapped_test)44    wrapped_test._schemathesis_feedback = feedback  # type: ignore45    return add_examples(wrapped_test, endpoint, hook_dispatcher=hook_dispatcher)46def setup_default_deadline(wrapped_test: Callable) -> None:47    # Quite hacky, but it is the simplest way to set up the default deadline value without affecting non-Schemathesis48    # tests globally49    existing_settings = getattr(wrapped_test, "_hypothesis_internal_use_settings", None)50    if existing_settings is not None and existing_settings.deadline == hypothesis.settings.default.deadline:51        new_settings = hypothesis.settings(existing_settings, deadline=DEFAULT_DEADLINE)52        wrapped_test._hypothesis_internal_use_settings = new_settings  # type: ignore53def make_async_test(test: Callable) -> Callable:54    def async_run(*args: Any, **kwargs: Any) -> None:55        loop = asyncio.get_event_loop()56        coro = test(*args, **kwargs)57        future = asyncio.ensure_future(coro, loop=loop)58        loop.run_until_complete(future)59    return async_run60def add_examples(test: Callable, endpoint: Endpoint, hook_dispatcher: Optional[HookDispatcher] = None) -> Callable:61    """Add examples to the Hypothesis test, if they are specified in the schema."""62    try:63        examples: List[Case] = [get_single_example(strategy) for strategy in endpoint.get_strategies_from_examples()]64    except InvalidSchema:65        # In this case, the user didn't pass `--validate-schema=false` and see an error in the output anyway,66        # and no tests will be executed. For this reason, examples can be skipped67        return test68    context = HookContext(endpoint)  # context should be passed here instead69    GLOBAL_HOOK_DISPATCHER.dispatch("before_add_examples", context, examples)70    endpoint.schema.hooks.dispatch("before_add_examples", context, examples)71    if hook_dispatcher:72        hook_dispatcher.dispatch("before_add_examples", context, examples)73    for example in examples:74        test = hypothesis.example(case=example)(test)75    return test76def get_single_example(strategy: st.SearchStrategy[Case]) -> Case:77    @hypothesis.given(strategy)  # type: ignore78    @hypothesis.settings(  # type: ignore79        database=None,80        max_examples=1,81        deadline=None,82        verbosity=hypothesis.Verbosity.quiet,83        phases=(hypothesis.Phase.generate,),84        suppress_health_check=hypothesis.HealthCheck.all(),85    )86    def example_generating_inner_function(ex: Case) -> None:87        examples.append(ex)88    examples: List[Case] = []89    example_generating_inner_function()...

test_decorators.py

Source:test_decorators.py

...10    pass11def unwrapped_forall(self):12    pass13@pysimtest.test(run=True)14def wrapped_test(self):15    pass16def unwrapped_test(self):17    pass18@pysimtest.test(run=False)19def no_run_test(self):20    pass21class TestDecorators:22    def test_forall_function_attr(self):23        assert hasattr(wrapped_forall, "is_forall")24    def test_forall_no_function_attr(self):25        assert not hasattr(unwrapped_forall, "is_forall")26    def test_test_function_attr(self):27        assert hasattr(wrapped_test, "is_test")28    def test_test_no_function_attr(self):29        assert not hasattr(unwrapped_test, "test")30    def test_test_run_attr(self):...

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