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How to use record_for_health_check method in hypothesis

Best Python code snippet using hypothesis

engine.py

Source:engine.py

...184            ):185                self.exit_with(ExitReason.max_iterations)186        if self.__tree_is_exhausted():187            self.exit_with(ExitReason.finished)188        self.record_for_health_check(data)189    def generate_novel_prefix(self):190        """Uses the tree to proactively generate a starting sequence of bytes191        that we haven't explored yet for this test.192        When this method is called, we assume that there must be at193        least one novel prefix left to find. If there were not, then the194        test run should have already stopped due to tree exhaustion.195        """196        return self.tree.generate_novel_prefix(self.random)197    @property198    def cap(self):199        return BUFFER_SIZE // 2200    def record_for_health_check(self, data):201        # Once we've actually found a bug, there's no point in trying to run202        # health checks - they'll just mask the actually important information.203        if data.status == Status.INTERESTING:204            self.health_check_state = None205        state = self.health_check_state206        if state is None:207            return208        state.draw_times.extend(data.draw_times)209        if data.status == Status.VALID:210            state.valid_examples += 1211        elif data.status == Status.INVALID:212            state.invalid_examples += 1213        else:214            assert data.status == Status.OVERRUN...

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