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
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):
