#!/usr/bin/env python # -*- coding: utf-8 -*- # FIXME: FAIL: testImplicitAssemblyLoad AssertionError: 0 != 1 """ Run all of the unit tests for this package multiple times in a highly multi-threaded way to stress the system. This makes it possible to look for memory leaks and threading issues and provides a good target for a profiler to accumulate better data. """ from __future__ import print_function import gc import os import sys import threading import time import _thread as thread from .utils import dprint class StressTest(object): def __init__(self): self.dirname = os.path.split(__file__)[0] sys.path.append(self.dirname) gc.set_debug(gc.DEBUG_LEAK) import runtests self.module = runtests self.done = [] def mark_start(self): self._start = time.clock() def mark_finish(self): self._finish = time.clock() def elapsed(self): return self._finish - self._start def print_gc_report(self): for item in gc.get_objects(): print(item, sys.getrefcount(item)) def run_thread(self, iterations): thread_id = thread.get_ident() dprint("thread {0} starting...".format(thread_id)) time.sleep(0.1) for i in range(iterations): dprint("thread {0} iter {1} start".format(thread_id, i)) self.module.main() dprint("thread {0} iter {1} end".format(thread_id, i)) self.done.append(None) dprint("thread {0} done".format(thread_id)) def stress_test(self, iterations=1, threads=1): args = (iterations,) self.mark_start() for _ in range(threads): thread = threading.Thread(target=self.run_thread, args=args) thread.start() while len(self.done) < (iterations * threads): dprint(len(self.done)) time.sleep(0.1) self.mark_finish() took = self.elapsed() self.print_gc_report() def main(): test = StressTest() test.stress_test(2, 10) if __name__ == '__main__': main()