How to use __update_exhausted method in hypothesis

Best Python code snippet using hypothesis

datatree.py

Source:datatree.py Github

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...331 ):332 inconsistent_generation()333 if self.__current_node.transition is None:334 self.__current_node.transition = Killed(TreeNode())335 self.__update_exhausted()336 self.__current_node = self.__current_node.transition.next_node337 self.__index_in_current_node = 0338 self.__trail.append(self.__current_node)339 def conclude_test(self, status, interesting_origin):340 """Says that ``status`` occurred at node ``node``. This updates the341 node if necessary and checks for consistency."""342 if status == Status.OVERRUN:343 return344 i = self.__index_in_current_node345 node = self.__current_node346 if i < len(node.values) or isinstance(node.transition, Branch):347 inconsistent_generation()348 new_transition = conclusion(status, interesting_origin)349 if node.transition is not None and node.transition != new_transition:350 # As an, I'm afraid, horrible bodge, we deliberately ignore flakiness351 # where tests go from interesting to valid, because it's much easier352 # to produce good error messages for these further up the stack.353 if isinstance(node.transition, Conclusion) and (354 node.transition.status != Status.INTERESTING355 or new_transition.status != Status.VALID356 ):357 raise Flaky(358 "Inconsistent test results! Test case was %r on first run but %r on second"359 % (node.transition, new_transition)360 )361 else:362 node.transition = new_transition363 assert node is self.__trail[-1]364 node.check_exhausted()365 assert len(node.values) > 0 or node.check_exhausted()366 if not self.killed:367 self.__update_exhausted()368 def __update_exhausted(self):369 for t in reversed(self.__trail):370 # Any node we've traversed might have now become exhausted.371 # We check from the right. As soon as we hit a node that372 # isn't exhausted, this automatically implies that all of373 # its parents are not exhausted, so we stop.374 if not t.check_exhausted():...

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