def OnRunSequence(self, itm):
"""
Actions initiating a sequence run.
Parameters:
itm - root item for sequence (wx.TreeItem)
"""
# disable controls
self.ToggleControls(False)
# refresh events
self.RefreshEvents()
# initialize data tree
stree = self.list_events.GetItemSubTree(itm, ScanEvent)
ev = self.list_events.GetItemPyData(itm)
meas = Measurement(stree.data.name,stree)
meas.BuildDataTree()
# check that events work with associated data
self.plot_or_save = [False]*meas.count
if not(self.CheckValidity(stree,meas)):
print "Invalid event tree!"
self.ToggleControls(True)
return
del self.plot_or_save
# store event tree in XML format
doc = self.BuildXMLTree(itm)
meas.xml = doc.toprettyxml(indent=" ", newl="\n")
# store system state (state of instruments before measurement)
from terapy import hardware
doc = hardware.get_system_state()
meas.systemState = doc.toprettyxml(indent=" ", newl="\n")
# announce measurement start
pub.sendMessage("scan.start", inst=meas)
self.scanThread = ScanThread(ev, meas)
self.scanThread.start()
def run(self, data):
self.itmList = self.get_children()
n=0
# store original data
data0 = Measurement()
data0.data = []
for m_id in self.m_ids:
data0.data.append(DataArray())
if hasattr(data.data[m_id].data,'__iter__'):
data0.data[m_id].data = zeros(data.data[m_id].data.shape)
else:
data0.data[m_id].data = 0
# repeat sub-sequence
while n<self.avg and self.can_run:
n+=1
self.run_children(data)
for m_id in self.m_ids:
data0.data[m_id].data = data0.data[m_id].data + data.data[m_id].data
data.Increment(self.m_ids)
for m_id in self.m_ids:
data.data[m_id].data = data0.data[m_id].data/self.avg
return data
