def stop(cls):
from pyLibrary.debugs import profiles
if cls.cprofiler and hasattr(cls, "settings"):
import pstats
cls.cprofiler_stats.add(pstats.Stats(cls.cprofiler))
write_profile(cls.settings.cprofile, cls.cprofiler_stats.pop_all())
if profiles.ON and hasattr(cls, "settings"):
profiles.write(cls.settings.profile)
cls.main_log.stop()
cls.main_log = TextLog_usingStream(sys.stdout)
def stop(cls):
from pyLibrary.debugs import profiles
if cls.cprofiler and hasattr(cls, "settings"):
import pstats
cls.cprofiler_stats.add(pstats.Stats(cls.cprofiler))
write_profile(cls.settings.cprofile, cls.cprofiler_stats.pop_all())
if profiles.ON and hasattr(cls, "settings"):
profiles.write(cls.settings.profile)
cls.main_log.stop()
cls.main_log = TextLog_usingStream(sys.stdout)
def stop(cls):
from pyLibrary.debugs import profiles
if cls.cprofiler and hasattr(cls, "settings"):
if cls.cprofiler == None:
from pyLibrary.thread.threads import Queue
cls.cprofiler_stats = Queue("cprofiler stats") # ACCUMULATION OF STATS FROM ALL THREADS
import pstats
cls.cprofiler_stats.add(pstats.Stats(cls.cprofiler))
write_profile(cls.settings.cprofile, cls.cprofiler_stats.pop_all())
if profiles.ON and hasattr(cls, "settings"):
profiles.write(cls.settings.profile)
cls.main_log.stop()
cls.main_log = TextLog_usingStream(sys.stdout)
def stop(cls):
from pyLibrary.debugs import profiles
if cls.cprofiler and hasattr(cls, "settings"):
if cls.cprofiler == None:
from pyLibrary.thread.threads import Queue
cls.cprofiler_stats = Queue("cprofiler stats") # ACCUMULATION OF STATS FROM ALL THREADS
import pstats
cls.cprofiler_stats.add(pstats.Stats(cls.cprofiler))
write_profile(cls.settings.cprofile, cls.cprofiler_stats.pop_all())
if profiles.ON and hasattr(cls, "settings"):
profiles.write(cls.settings.profile)
cls.main_log.stop()
cls.main_log = TextLog_usingStream(sys.stdout)
for i in range(NUM_REPEAT):
results = []
gc.collect()
with Profiler("more string: slow_wrap"):
for v in inputs:
results.append(slow_wrap(v))
results = []
gc.collect()
with Profiler("more string: wrap"):
for v in inputs:
results.append(wrap(v))
results = []
gc.collect()
with Profiler("more string: baseline"):
for v in inputs:
results.append(baseline(v))
Log.note("Done {{i}} of {{num}}", {"i": i, "num": NUM_REPEAT})
profiles.ON = True
Log.start()
test_wrap_1()
test_wrap_2()
test_wrap_3()
profiles.write(Data(filename="speedtest_wrap.tab"))
Log.stop()