def test_is_pypyjit_available(self): try: import pypyjit snp=pypyjit.get_stats_snapshot() print u"pypyjit.get_stats_snapshot().counter_times: {}".format(snp.counter_times) except ImportError: self.assertEqual(True, False, "pypyjit is not available")
def test_get_stats_snapshot(self): skip("a bit no idea how to test it") from pypyjit import get_stats_snapshot stats = get_stats_snapshot() # we can't do much here, unfortunately assert stats.w_loop_run_times == [] assert isinstance(stats.w_counters, dict) assert sorted(stats.w_counters.keys()) == self.sorted_keys
krun_init() num_cores = krun_get_num_cores() # Pre-allocate result lists wallclock_times = array.array("d", [0.0] * iters) # Although we can't be sure what size "L" actually is, if we generate ints # it can't store, an OverflowError results, so there's no chance of silent # truncation. cycle_counts = [array.array("L", [0] * iters) for _ in range(num_cores)] aperf_counts = [array.array("L", [0] * iters) for _ in range(num_cores)] mperf_counts = [array.array("L", [0] * iters) for _ in range(num_cores)] # Main loop for i in xrange(iters): if instrument: start_snap = pypyjit.get_stats_snapshot() if debug: sys.stderr.write("[iterations_runner.py] iteration %d/%d\n" % (i + 1, iters)) # Start timed section krun_measure(0) bench_func(param) krun_measure(1) # End timed section # Extract/check/store wallclock time wallclock_times[i] = krun_get_wallclock(1) - krun_get_wallclock(0) # Extract/check/store per-core data for core in xrange(num_cores):
krun_init() num_cores = krun_get_num_cores() # Pre-allocate result lists wallclock_times = array.array("d", [-0.0] * iters) # Although we can't be sure what size "L" actually is, if we generate ints # it can't store, an OverflowError results, so there's no chance of silent # truncation. cycle_counts = [array.array("L", [0] * iters) for _ in range(num_cores)] aperf_counts = [array.array("L", [0] * iters) for _ in range(num_cores)] mperf_counts = [array.array("L", [0] * iters) for _ in range(num_cores)] # Main loop for i in xrange(iters): if instrument: start_snap = pypyjit.get_stats_snapshot() if debug: sys.stderr.write( "[iterations_runner.py] iteration %d/%d\n" % (i + 1, iters)) # Start timed section krun_measure(0) bench_func(param) krun_measure(1) # End timed section # Extract/check/store wallclock time wallclock_times[i] = krun_get_wallclock(1) - krun_get_wallclock(0) # Extract/check/store per-core data for core in xrange(num_cores):