How to use on_pareto_evict method in hypothesis

Best Python code snippet using hypothesis

engine.py

Source:engine.py Github

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...196 self.exit_with(ExitReason.max_iterations)197 if self.__tree_is_exhausted():198 self.exit_with(ExitReason.finished)199 self.record_for_health_check(data)200 def on_pareto_evict(self, data):201 self.settings.database.delete(self.pareto_key, data.buffer)202 def generate_novel_prefix(self):203 """Uses the tree to proactively generate a starting sequence of bytes204 that we haven't explored yet for this test.205 When this method is called, we assume that there must be at206 least one novel prefix left to find. If there were not, then the207 test run should have already stopped due to tree exhaustion.208 """209 return self.tree.generate_novel_prefix(self.random)210 def record_for_health_check(self, data):211 # Once we've actually found a bug, there's no point in trying to run212 # health checks - they'll just mask the actually important information.213 if data.status == Status.INTERESTING:214 self.health_check_state = None...

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