import unittest from test.support import import_helper, threading_helper import random from threading import Thread, Barrier py_bisect = import_helper.import_fresh_module('bisect', blocked=['_bisect']) c_bisect = import_helper.import_fresh_module('bisect', fresh=['_bisect']) NTHREADS = 4 OBJECT_COUNT = 500 class TestBase: def do_racing_insort(self, insert_method): def insert(data): for _ in range(OBJECT_COUNT): x = random.randint(-OBJECT_COUNT, OBJECT_COUNT) insert_method(data, x) data = list(range(OBJECT_COUNT)) self.run_concurrently( worker_func=insert, args=(data,), nthreads=NTHREADS ) if False: # These functions are not thread-safe and so the list can become # unsorted. However, we don't want Python to crash if these # functions are used concurrently on the same sequence. This # should also not produce any TSAN warnings. self.assertTrue(self.is_sorted_ascending(data)) def test_racing_insert_right(self): self.do_racing_insort(self.mod.insort_right) def test_racing_insert_left(self): self.do_racing_insort(self.mod.insort_left) @staticmethod def is_sorted_ascending(lst): """ Check if the list is sorted in ascending order (non-decreasing). """ return all(lst[i - 1] <= lst[i] for i in range(1, len(lst))) def run_concurrently(self, worker_func, args, nthreads): """ Run the worker function concurrently in multiple threads. """ barrier = Barrier(nthreads) def wrapper_func(*args): # Wait for all threads to reach this point before proceeding. barrier.wait() worker_func(*args) with threading_helper.catch_threading_exception() as cm: workers = ( Thread(target=wrapper_func, args=args) for _ in range(nthreads) ) with threading_helper.start_threads(workers): pass # Worker threads should not raise any exceptions self.assertIsNone(cm.exc_value) @threading_helper.requires_working_threading() class TestPyBisect(unittest.TestCase, TestBase): mod = py_bisect @threading_helper.requires_working_threading() class TestCBisect(unittest.TestCase, TestBase): mod = c_bisect if __name__ == "__main__": unittest.main()