def run(self):
global args, events, hist
p = Parse(args.infile)
data = None
while True:
if self._abort_flag:
print("Worker aborted")
return
if self._pause_flag:
time.sleep(0.1)
continue
try:
data = p.next()
except StopIteration:
time.sleep(0.5)
continue
vals = integrate(data)
e_summ, e_baseline = vals.summ, vals.bl
if self._notify_window.ready:
self._notify_window.ready = False
wx.PostEvent(self._notify_window, DataReadyEvent(data))
sys.stderr.write("progress: %2.3f%%\n" %
(100.0 * p.progress()))
events.append(data)
#TODO: if hist:
hist.append(e_summ)
def run(self):
global args, events, hist
p = Parse(args.infile, ('chan','raw') )
data = None
while True:
if self._abort_flag:
print("Worker aborted")
return
if self._pause_flag:
time.sleep(0.1)
continue
try:
data = p.next()
except StopIteration:
time.sleep(1)
continue
if self._notify_window.ready:
self._notify_window.ready = False
wx.PostEvent(self._notify_window, DataReadyEvent(data))
events.append(data)
#TODO: if hist:
e_ts, e_chan, e_summ, e_baseline, e_dbaseline = integrate(data)[0:5]
hist.append(e_summ)
