def get(self, estimate=True):
current = ProcessCpuLoadValue(self.pid)
previous = self.searchLast(current)
self.datas.append(current)
tics = current.tics
if previous:
time = current.timestamp - previous.timestamp
tics -= previous.tics
else:
if not estimate:
return None
time = current.timestamp - self.start
time = timedeltaSeconds(time)
load = tics / (HERTZ * time)
return minmax(0.0, load, 1.0)
def get(self, estimate=True):
current = ProcessCpuLoadValue(self.pid)
previous = self.searchLast(current)
self.datas.append(current)
tics = current.tics
if previous:
time = current.timestamp - previous.timestamp
tics -= previous.tics
else:
if not estimate:
return None
time = current.timestamp - self.start
time = timedeltaSeconds(time)
load = tics / (HERTZ * time)
return minmax(0.0, load, 1.0)
def writeGraphData(self, session_index, score):
self.last_session_index = session_index
if CREATE_GRAPH_DAT and not self.graph_data:
filename = self.project().createFilename('aggressivity.dat')
self.graph_data = open(filename, 'w')
print >>self.graph_data, "# Aggressivity data"
print >>self.graph_data, "# Started at %s" % datetime.now()
print >>self.graph_data, "#"
print >>self.graph_data, "# session_index score aggressivity"
if self.project().success_score <= score:
score = 1.0
else:
score = minmax(-1.0, score, 1.0)
if self.graph_data:
print >>self.graph_data, "%u\t%.3f\t%.3f" % (
self.last_session_index, score, self.aggressivity)
self.graph_data.flush()
def writeGraphData(self, session_index, score):
self.last_session_index = session_index
if CREATE_GRAPH_DAT and not self.graph_data:
filename = self.project().createFilename('aggressivity.dat')
self.graph_data = open(filename, 'w')
print >> self.graph_data, "# Aggressivity data"
print >> self.graph_data, "# Started at %s" % datetime.now()
print >> self.graph_data, "#"
print >> self.graph_data, "# session_index score aggressivity"
if self.project().success_score <= score:
score = 1.0
else:
score = minmax(-1.0, score, 1.0)
if self.graph_data:
print >> self.graph_data, "%u\t%.3f\t%.3f" % (
self.last_session_index, score, self.aggressivity)
self.graph_data.flush()
def setupConf(self, data):
operations = ["bit"]
size_factor = 0.30
if 0.25 <= self.aggressivity:
operations.extend(("replace", "special_value"))
if 0.50 <= self.aggressivity:
operations.extend(("insert_bytes", "delete_bytes"))
size_factor = 0.20
self.config.operations = operations
# Display config
count = len(data) * size_factor * self.fixed_size_factor
count = minmax(self.hard_min_op, count, self.hard_max_op)
count = int(count * self.aggressivity)
self.config.max_op = max(count, self.hard_min_op)
self.config.min_op = max(int(self.config.max_op * 0.80), self.hard_min_op)
self.warning("operation#:%s..%s operations=%s"
% (self.config.min_op, self.config.max_op, self.config.operations))
def setValue(self, value):
value = round(value, 2)
value = minmax(self.aggressivity_min, value, self.aggressivity_max)
self.aggressivity = value
def __call__(self, data):
offset = self.offset // 8
data[offset] = minmax(0, data[offset] + self.incr, 255)
def normalizeScore(score):
score = minmax(-1.0, score, 1.0)
return round(score, 2)
def mangle_increment(self):
incr = randint(1, self.config.max_incr)
if randint(0, 1) == 1:
incr = -incr
offset = self.offset()
self.data[offset] = minmax(0, self.data[offset] + incr, 255)
def normalizeScore(score):
score = minmax(-1.0, score, 1.0)
return round(score, 2)
def setValue(self, value):
value = round(value, 2)
value = minmax(self.aggressivity_min, value, self.aggressivity_max)
self.aggressivity = value
def __call__(self, data):
offset = self.offset // 8
data[offset] = minmax(0, data[offset] + self.incr, 255)