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How to use new_conjecture_data_for_buffer method in hypothesis

Best Python code snippet using hypothesis

engine.py

Source:engine.py

...652            draw_bytes=draw_bytes,653            max_length=BUFFER_SIZE,654            observer=self.tree.new_observer(),655        )656    def new_conjecture_data_for_buffer(self, buffer):657        return ConjectureData.for_buffer(buffer, observer=self.tree.new_observer())658    def shrink_interesting_examples(self):659        """If we've found interesting examples, try to replace each of them660        with a minimal interesting example with the same interesting_origin.661        We may find one or more examples with a new interesting_origin662        during the shrink process. If so we shrink these too.663        """664        if Phase.shrink not in self.settings.phases or not self.interesting_examples:665            return666        for prev_data in sorted(667            self.interesting_examples.values(), key=lambda d: sort_key(d.buffer)668        ):669            assert prev_data.status == Status.INTERESTING670            data = self.new_conjecture_data_for_buffer(prev_data.buffer)671            self.test_function(data)672            if data.status != Status.INTERESTING:673                self.exit_with(ExitReason.flaky)674        self.clear_secondary_key()675        while len(self.shrunk_examples) < len(self.interesting_examples):676            target, example = min(677                [678                    (k, v)679                    for k, v in self.interesting_examples.items()680                    if k not in self.shrunk_examples681                ],682                key=lambda kv: (sort_key(kv[1].buffer), sort_key(repr(kv[0]))),683            )684            self.debug("Shrinking %r" % (target,))685            if not self.settings.report_multiple_bugs:686                # If multi-bug reporting is disabled, we shrink our currently-minimal687                # failure, allowing 'slips' to any bug with a smaller minimal example.688                self.shrink(example, lambda d: d.status == Status.INTERESTING)689                return690            def predicate(d):691                if d.status < Status.INTERESTING:692                    return False693                return d.interesting_origin == target694            self.shrink(example, predicate)695            self.shrunk_examples.add(target)696    def clear_secondary_key(self):697        if self.has_existing_examples():698            # If we have any smaller examples in the secondary corpus, now is699            # a good time to try them to see if they work as shrinks. They700            # probably won't, but it's worth a shot and gives us a good701            # opportunity to clear out the database.702            # It's not worth trying the primary corpus because we already703            # tried all of those in the initial phase.704            corpus = sorted(705                self.settings.database.fetch(self.secondary_key), key=sort_key706            )707            for c in corpus:708                primary = {v.buffer for v in self.interesting_examples.values()}709                cap = max(map(sort_key, primary))710                if sort_key(c) > cap:711                    break712                else:713                    self.cached_test_function(c)714                    # We unconditionally remove c from the secondary key as it715                    # is either now primary or worse than our primary example716                    # of this reason for interestingness.717                    self.settings.database.delete(self.secondary_key, c)718    def shrink(self, example, predicate):719        s = self.new_shrinker(example, predicate)720        s.shrink()721        return s.shrink_target722    def new_shrinker(self, example, predicate):723        return Shrinker(self, example, predicate)724    def cached_test_function(self, buffer):725        """Checks the tree to see if we've tested this buffer, and returns the726        previous result if we have.727        Otherwise we call through to ``test_function``, and return a728        fresh result.729        """730        buffer = hbytes(buffer)731        def check_result(result):732            assert result is Overrun or (733                isinstance(result, ConjectureResult) and result.status != Status.OVERRUN734            )735            return result736        try:737            return check_result(self.__data_cache[buffer])738        except KeyError:739            pass740        rewritten, status = self.tree.rewrite(buffer)741        try:742            result = check_result(self.__data_cache[rewritten])743        except KeyError:744            pass745        else:746            assert result.status != Status.OVERRUN or result is Overrun747            self.__data_cache[buffer] = result748            return result749        # We didn't find a match in the tree, so we need to run the test750        # function normally. Note that test_function will automatically751        # add this to the tree so we don't need to update the cache.752        result = None753        if status != Status.OVERRUN:754            data = self.new_conjecture_data_for_buffer(buffer)755            self.test_function(data)756            result = check_result(data.as_result())757            assert status is None or result.status == status758            status = result.status759        if status == Status.OVERRUN:760            result = Overrun761        assert result is not None762        self.__data_cache[buffer] = result763        return result764    def event_to_string(self, event):765        if isinstance(event, str):766            return event767        try:768            return self.events_to_strings[event]...

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