def wrapper(*args, **kwargs):
result = None
try:
result = innerMethod(*args, **kwargs)
except Exception, e:
showException()
def wrapper(*args, **kwargs):
result = None
try:
result = innerMethod(*args, **kwargs)
except Exception, e:
showException()
def tick(self):
try:
self.__handler()
except Exception:
showException()
self.__timer = None
runOnMainThread(self.delayedSyncState)
def tick(self):
try:
self.__handler()
except Exception:
showException()
self.__timer = None
runOnMainThread(self.delayedSyncState)
def invoker():
try:
fn(*args, **kwargs)
except Exception:
showException()
def invoker():
try:
fn(*args, **kwargs)
except Exception:
showException()
def GuessClass():
# doesn't function well with mixed-range probes
# probably breaks horribly with >4 probes as well!
sr = sm.services.get("scanSvc").GetScanResults()
pd = sm.services.get("scanSvc").GetProbeData()
probepos = {}
probestep = {}
sensor = GetSensorStrength() / 100
def dist(a, b):
return sqrt(pow((a[0] - b[0]), 2) + pow((a[1] - b[1]), 2) + pow((a[2] - b[2]), 2))
for key in pd:
probepos[key] = pd[key].pos
probestep[key] = pd[key].rangeStep
# selected = sm.services.get('window', None).GetWindow('scanner').sr.resultscroll.GetSelected()
try:
selected = sm.services.get("window", None).GetWindow("scanner").sr.resultscroll.GetNodes()[1]
if selected.result:
data = selected.result.data
else:
return
except:
showException()
return
if isinstance(data, float):
data = selected.result.pos
if not isinstance(data, Vector3):
data = data.point
probehits = selected.result.probeID
if not isinstance(probehits, long):
numprobes = len(probehits)
else:
numprobes = 1
sumstr = 0
if numprobes > 3:
for probeval in probehits:
range = 0.125 * pow(2, probestep[key])
sumstr += exp(-0.915 * pow(dist(probepos[probeval], data) / (range * 149598000000), 2))
# log("sum of probe strengths: %s", sumstr)
intrinsic = selected.result.certainty * 2 * 100 * 2 / (sensor * sumstr)
log("intrinsic core: %s", intrinsic)
elif numprobes > 2:
for probeval in probehits:
range = 0.125 * pow(2, probestep[key])
sumstr += exp(-0.915 * pow(dist(probepos[probeval], data) / (range * 149598000000), 2))
# log("sum of probe strengths: %s", sumstr)
intrinsic = selected.result.certainty * numprobes * 100 * 2 / (sensor * sumstr)
log("intrinsic core: %s", intrinsic)
elif numprobes > 1:
for probeval in probehits:
range = 0.125 * pow(2, probestep[key])
sumstr += exp(-0.915 * pow(dist(probepos[probeval], data) / (range * 149598000000), 2))
# log("sum of probe strengths: %s", sumstr)
intrinsic = selected.result.certainty * 100 * 2 / (sensor * sumstr)
log("intrinsic core: %s", intrinsic)
else:
range = 0.125 * pow(2, probestep[key])
sumstr = exp(-0.915 * pow(selected.result.data / (range * 149598000000), 2))
intrinsic = selected.result.certainty * 100 * 2 / (sensor * sumstr)
# log("sum of probe strengths: %s", sumstr)
log("intrinsic core: %s", intrinsic)
siteclass = 0
if (intrinsic > 1.8) or (intrinsic < 1.7):
siteclass += round(math.log(intrinsic, 2) + 1, 1)
else:
siteclass += 1.5
log("Site Class: %s", siteclass)
def GuessClass():
# doesn't function well with mixed-range probes
# probably breaks horribly with >4 probes as well!
sr = sm.services.get('scanSvc').GetScanResults()
pd = sm.services.get('scanSvc').GetProbeData()
probepos = {}
probestep = {}
sensor = GetSensorStrength() / 100
def dist(a, b):
return sqrt(
pow((a[0] - b[0]), 2) + pow((a[1] - b[1]), 2) +
pow((a[2] - b[2]), 2))
for key in pd:
probepos[key] = pd[key].pos
probestep[key] = pd[key].rangeStep
#selected = sm.services.get('window', None).GetWindow('scanner').sr.resultscroll.GetSelected()
try:
selected = sm.services.get(
'window', None).GetWindow('scanner').sr.resultscroll.GetNodes()[1]
if selected.result:
data = selected.result.data
else:
return
except:
showException()
return
if isinstance(data, float):
data = selected.result.pos
if not isinstance(data, Vector3):
data = data.point
probehits = selected.result.probeID
if not isinstance(probehits, long):
numprobes = len(probehits)
else:
numprobes = 1
sumstr = 0
if numprobes > 3:
for probeval in probehits:
range = 0.125 * pow(2, probestep[key])
sumstr += exp(-0.915 * pow(
dist(probepos[probeval], data) / (range * 149598000000), 2))
#log("sum of probe strengths: %s", sumstr)
intrinsic = selected.result.certainty * 2 * 100 * 2 / (sensor * sumstr)
log("intrinsic core: %s", intrinsic)
elif numprobes > 2:
for probeval in probehits:
range = 0.125 * pow(2, probestep[key])
sumstr += exp(-0.915 * pow(
dist(probepos[probeval], data) / (range * 149598000000), 2))
#log("sum of probe strengths: %s", sumstr)
intrinsic = selected.result.certainty * numprobes * 100 * 2 / (sensor *
sumstr)
log("intrinsic core: %s", intrinsic)
elif numprobes > 1:
for probeval in probehits:
range = 0.125 * pow(2, probestep[key])
sumstr += exp(-0.915 * pow(
dist(probepos[probeval], data) / (range * 149598000000), 2))
#log("sum of probe strengths: %s", sumstr)
intrinsic = selected.result.certainty * 100 * 2 / (sensor * sumstr)
log("intrinsic core: %s", intrinsic)
else:
range = 0.125 * pow(2, probestep[key])
sumstr = exp(-0.915 *
pow(selected.result.data / (range * 149598000000), 2))
intrinsic = selected.result.certainty * 100 * 2 / (sensor * sumstr)
#log("sum of probe strengths: %s", sumstr)
log("intrinsic core: %s", intrinsic)
siteclass = 0
if (intrinsic > 1.8) or (intrinsic < 1.7):
siteclass += round(math.log(intrinsic, 2) + 1, 1)
else:
siteclass += 1.5
log("Site Class: %s", siteclass)
