def test_assert_statement_dataframe(self):
"""assertStatement() works if the generated statement creates a pandas.DataFrame of bools"""
rolls_dfr = pd.DataFrame({"results": [1, 3, 2, 6, 2, 4]})
trace = trappy.BareTrace()
trace.add_parsed_event("dice_rolls", rolls_dfr)
config = {"MIN_DICE_NUMBER": 1, "MAX_DICE_NUMBER": 6}
t = Analyzer(trace, config)
statement = "(dice_rolls:results <= MAX_DICE_NUMBER) & (dice_rolls:results >= MIN_DICE_NUMBER)"
self.assertTrue(t.assertStatement(statement))
statement = "dice_rolls:results == 3"
self.assertFalse(t.assertStatement(statement))
def test_assert_statement_dataframe(self):
"""assertStatement() works if the generated statement creates a pandas.DataFrame of bools"""
rolls_dfr = pd.DataFrame({"results": [1, 3, 2, 6, 2, 4]})
trace = trappy.BareTrace()
trace.add_parsed_event("dice_rolls", rolls_dfr)
config = {"MIN_DICE_NUMBER": 1, "MAX_DICE_NUMBER": 6}
t = Analyzer(trace, config)
statement = "(dice_rolls:results <= MAX_DICE_NUMBER) & (dice_rolls:results >= MIN_DICE_NUMBER)"
self.assertTrue(t.assertStatement(statement))
statement = "dice_rolls:results == 3"
self.assertFalse(t.assertStatement(statement))
def test_assert_statement_bool(self):
"""Check that asssertStatement() works with a simple boolean case"""
rolls_dfr = pd.DataFrame({"results": [1, 3, 2, 6, 2, 4]})
trace = trappy.BareTrace()
trace.add_parsed_event("dice_rolls", rolls_dfr)
config = {"MAX_DICE_NUMBER": 6}
t = Analyzer(trace, config)
statement = "numpy.max(dice_rolls:results) <= MAX_DICE_NUMBER"
self.assertTrue(t.assertStatement(statement, select=0))
def test_assert_statement_bool(self):
"""Check that asssertStatement() works with a simple boolean case"""
rolls_dfr = pd.DataFrame({"results": [1, 3, 2, 6, 2, 4]})
trace = trappy.BareTrace()
trace.add_parsed_event("dice_rolls", rolls_dfr)
config = {"MAX_DICE_NUMBER": 6}
t = Analyzer(trace, config)
statement = "numpy.max(dice_rolls:results) <= MAX_DICE_NUMBER"
self.assertTrue(t.assertStatement(statement, select=0))
def test_boosted_utilization_signal(self):
"""The boosted utilization signal is appropriately boosted
The margin should match the formula
(sched_load_scale - util) * boost"""
for tc in self.conf["confs"]:
test_id = tc["tag"]
wload_idx = self.conf["wloads"].keys()[0]
run_dir = os.path.join(self.te.res_dir,
"rtapp:{}:{}".format(test_id,
wload_idx), "1")
ftrace_events = ["sched_boost_task"]
ftrace = trappy.FTrace(run_dir,
scope="custom",
events=ftrace_events)
first_task_params = self.conf["wloads"][wload_idx]["conf"][
"params"]
first_task_name = first_task_params.keys()[0]
rta_task_name = "task_{}".format(first_task_name)
sbt_dfr = ftrace.sched_boost_task.data_frame
boost_task_rtapp = sbt_dfr[sbt_dfr.comm == rta_task_name]
ftrace.add_parsed_event("boost_task_rtapp", boost_task_rtapp)
# Avoid the first period as the task starts with a very
# high load and it overutilizes the CPU
rtapp_period = first_task_params[first_task_name]["params"][
"period_ms"]
task_start = boost_task_rtapp.index[0]
after_first_period = task_start + (rtapp_period / 1000.)
boost = tc["cgroups"]["conf"]["schedtune"]["/stune"]["boost"] / 100.
analyzer_const = {
"SCHED_LOAD_SCALE": 1024,
"BOOST": boost,
}
analyzer = Analyzer(ftrace,
analyzer_const,
window=(after_first_period, None))
statement = "(((SCHED_LOAD_SCALE - boost_task_rtapp:util) * BOOST) // 100) == boost_task_rtapp:margin"
error_msg = "task was not boosted to the expected margin: {}".\
format(boost)
self.assertTrue(analyzer.assertStatement(statement), msg=error_msg)
def test_boosted_utilization_signal(self):
"""Tasks in stune groups are boosted"""
for tc in self.confs:
conf_id = tc["tag"]
wload_id = self.wloads.keys()[0]
run_dir = os.path.join(self.te.res_dir,
"rtapp:{}:{}".format(conf_id,
wload_id), "1")
ftrace_events = ["sched_boost_task"]
ftrace = trappy.FTrace(run_dir,
scope="custom",
events=ftrace_events)
first_task_params = self.wloads[wload_id]["conf"]["params"]
first_task_name = first_task_params.keys()[0]
rta_task_name = "task_{}".format(first_task_name)
# Avoid the first period as the task starts with a very
# high load and it overutilizes the CPU
rtapp_period = first_task_params[first_task_name]["params"][
"period_ms"]
sbt_dfr = ftrace.sched_boost_task.data_frame
task_start = sbt_dfr[sbt_dfr.comm == rta_task_name].index[0]
after_first_period = task_start + (rtapp_period / 1000.)
boost = tc["cgroups"]["conf"]["schedtune"]["/stune"]["boost"]
analyzer_const = {
"SCHED_LOAD_SCALE": 1024,
"BOOST": boost,
}
analyzer = Analyzer(ftrace,
analyzer_const,
window=(after_first_period, None),
filters={"comm": rta_task_name})
if boost == 0:
statement = "sched_boost_task:margin == 0"
elif boost > 0:
statement = "(((SCHED_LOAD_SCALE - sched_boost_task:util) * BOOST) // 100) == sched_boost_task:margin"
else:
statement = "-((-sched_boost_task:util * BOOST) // 100) == sched_boost_task:margin"
error_msg = "task was not boosted to the expected margin: {:.2f}"\
.format(boost / 100.)
self.assertTrue(analyzer.assertStatement(statement), msg=error_msg)
def test_boosted_utilization_signal(self):
"""Tasks in stune groups are boosted"""
for tc in self.confs:
conf_id = tc["tag"]
wload_id = self.wloads.keys()[0]
run_dir = os.path.join(self.te.res_dir,
"rtapp:{}:{}".format(conf_id, wload_id),
"1")
ftrace_events = ["sched_boost_task"]
ftrace = trappy.FTrace(run_dir, scope="custom",
events=ftrace_events)
first_task_params = self.wloads[wload_id]["conf"]["params"]
first_task_name = first_task_params.keys()[0]
rta_task_name = "task_{}".format(first_task_name)
# Avoid the first period as the task starts with a very
# high load and it overutilizes the CPU
rtapp_period = first_task_params[first_task_name]["params"]["period_ms"]
sbt_dfr = ftrace.sched_boost_task.data_frame
task_start = sbt_dfr[sbt_dfr.comm == rta_task_name].index[0]
after_first_period = task_start + (rtapp_period / 1000.)
boost = tc["cgroups"]["conf"]["schedtune"]["/stune"]["boost"]
analyzer_const = {
"SCHED_LOAD_SCALE": 1024,
"BOOST": boost,
}
analyzer = Analyzer(ftrace, analyzer_const,
window=(after_first_period, None),
filters={"comm": rta_task_name})
if boost == 0:
statement = "sched_boost_task:margin == 0"
elif boost > 0:
statement = "(((SCHED_LOAD_SCALE - sched_boost_task:util) * BOOST) // 100) == sched_boost_task:margin"
else:
statement = "-((-sched_boost_task:util * BOOST) // 100) == sched_boost_task:margin"
error_msg = "task was not boosted to the expected margin: {:.2f}"\
.format(boost / 100.)
self.assertTrue(analyzer.assertStatement(statement), msg=error_msg)
def test_boosted_utilization_signal(self):
"""The boosted utilization signal is appropriately boosted
The margin should match the formula
(sched_load_scale - util) * boost"""
for tc in self.conf["confs"]:
test_id = tc["tag"]
wload_idx = self.conf["wloads"].keys()[0]
run_dir = os.path.join(self.te.res_dir,
"rtapp:{}:{}".format(test_id, wload_idx),
"1")
ftrace_events = ["sched_boost_task"]
ftrace = trappy.FTrace(run_dir, scope="custom",
events=ftrace_events)
first_task_params = self.conf["wloads"][wload_idx]["conf"]["params"]
first_task_name = first_task_params.keys()[0]
rta_task_name = "task_{}".format(first_task_name)
sbt_dfr = ftrace.sched_boost_task.data_frame
boost_task_rtapp = sbt_dfr[sbt_dfr.comm == rta_task_name]
ftrace.add_parsed_event("boost_task_rtapp", boost_task_rtapp)
# Avoid the first period as the task starts with a very
# high load and it overutilizes the CPU
rtapp_period = first_task_params[first_task_name]["params"]["period_ms"]
task_start = boost_task_rtapp.index[0]
after_first_period = task_start + (rtapp_period / 1000.)
boost = tc["cgroups"]["conf"]["schedtune"]["/stune"]["boost"] / 100.
analyzer_const = {
"SCHED_LOAD_SCALE": 1024,
"BOOST": boost,
}
analyzer = Analyzer(ftrace, analyzer_const,
window=(after_first_period, None))
statement = "(((SCHED_LOAD_SCALE - boost_task_rtapp:util) * BOOST) // 100) == boost_task_rtapp:margin"
error_msg = "task was not boosted to the expected margin: {}".\
format(boost)
self.assertTrue(analyzer.assertStatement(statement), msg=error_msg)
