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How to use clear_secondary_key method in hypothesis

Best Python code snippet using hypothesis

engine.py

Source:engine.py

...670            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:...

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