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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