def process_utilization(table, processes):
required = ["Event", "Process", "Time", "Duration"]
header = table.header
if not all(item in header for item in required):
return
f_eq = lambda x, y: x == y
columns = ["Time", "Duration"]
# collect idles
filters = [("Event", f_eq, 'I')]
idles = []
for p in processes:
idles.append(table.select(columns, filters + [("Process", f_eq, p)]))
# collect TETs
filters = [("Event", f_eq, 'T')]
names, values = [], []
for p in processes:
names.append(str(p))
values.append(table.select(columns, filters + [("Process", f_eq, p)]))
names.reverse()
values.reverse()
if idles is not None:
idles.reverse()
return ("Utilization of processes",
charts.utilization_chart(names, values, "Utilization of processes",
"Time", "Process", idles))
def process_utilization(table, processes):
required = ["Event", "Process", "Time", "Duration"]
header = table.header
if not all(item in header for item in required):
return
f_eq = lambda x, y: x == y
columns = ["Time", "Duration"]
# collect idles
filters = [("Event", f_eq, 'I')]
idles = []
for p in processes:
idles.append(table.select(columns, filters + [("Process", f_eq, p)]))
# collect TETs
filters = [("Event", f_eq, 'T')]
names, values = [], []
for p in processes:
names.append(str(p))
values.append(table.select(columns, filters + [("Process", f_eq, p)]))
names.reverse()
values.reverse()
if idles is not None:
idles.reverse()
return ("Utilization of processes",
charts.utilization_chart(
names, values,
"Utilization of processes", "Time", "Process", idles))
def _transition_utilization_group_threads(self):
names = self.tracelog.statistics["trans_gthreads_names"]
values = self.tracelog.statistics["trans_gthreads_values"]
values.reverse()
names.reverse()
return charts.utilization_chart(
names,
values,
"Utilization of transitions (group by threads)",
"Time",
"Transition", self.tracelog.threads_count)
def _transitions_utilization(self):
names = self.tracelog.statistics["transition_names"]
values = self.tracelog.statistics["transition_values"]
values.reverse()
names.reverse()
return charts.utilization_chart(
names,
values,
"Utilizations of transitions",
"Time",
"Transition")
def _processes_utilization(self):
values = self.tracelog.statistics["threads"]
idles = self.tracelog.statistics["idles"]
names = []
for p in range(self.tracelog.process_count):
for t in range(self.tracelog.threads_count):
names.append("process {0}`{1}".format(p, t))
names.reverse()
values.reverse()
idles.reverse()
return charts.utilization_chart(
names,
values,
"Utilizations of processes", "Time", "Processes",
idles=idles)
def transition_utilization(table, processes, transitions):
required = ["Event", "ID", "Time", "Duration"]
header = table.header
if not all(item in header for item in required):
return
f_eq = lambda x, y: x == y
columns = ["Time", "Duration"]
filters = [("Event", f_eq, 'T')]
if "Process" in header:
names, values = [], []
for p in processes:
pnames, pvalues = [], []
for t in transitions:
pnames.append("{0} {1}".format(t.get_name_or_id(), p))
pvalues.append(
table.select(
columns, filters + [("ID", f_eq, t.id),
("Process", f_eq, p)]))
names.append(pnames)
values.append(pvalues)
# reorder by processes; process zero at the top
values.reverse()
names.reverse()
# concatenate names on each process
f_concate = lambda x, y: x + y
values = reduce(f_concate, values, [])
names = reduce(f_concate, names, [])
else:
names, values = [], []
for t in transitions:
names.append(t.get_name_or_id())
values.append(table.select(columns,
filters + [("ID", f_eq, t.id)]))
return ("Utilization of transitions",
charts.utilization_chart(names, values,
"Utilization of transitions", "Time",
"Transition"))
def transition_utilization(table, processes, transitions):
required = ["Event", "ID", "Time", "Duration"]
header = table.header
if not all(item in header for item in required):
return
f_eq = lambda x, y: x == y
columns = ["Time", "Duration"]
filters = [("Event", f_eq, 'T')]
if "Process" in header:
names, values = [], []
for p in processes:
pnames, pvalues = [], []
for t in transitions:
pnames.append("{0} {1}".format(t.get_name_or_id(), p))
pvalues.append(table.select(
columns,
filters + [("ID", f_eq, t.id), ("Process", f_eq, p)]))
names.append(pnames)
values.append(pvalues)
# reorder by processes; process zero at the top
values.reverse()
names.reverse()
# concatenate names on each process
f_concate = lambda x, y: x + y
values = reduce(f_concate, values, [])
names = reduce(f_concate, names, [])
else:
names, values = [], []
for t in transitions:
names.append(t.get_name_or_id())
values.append(table.select(
columns, filters + [("ID", f_eq, t.id)]))
return ("Utilization of transitions",
charts.utilization_chart(
names, values,
"Utilization of transitions", "Time", "Transition"))