def replayBlock(vp,block,trial,tlag=0,coderid=0,exportAlgo=False):
''' replays the remaining block from the chase experiment starting at <trial>
vp - subject id
block - block id
trial - trial id on which the replay will start
tlag - lag in ms on each frame, useful for slowing down the replay
coderid - coder id whose coding data will be displayed
if the coding data are not available automated coding will be created
'''
behdata=np.loadtxt(os.getcwd().rstrip('code')+'behavioralOutput/vp%03d.res'%vp)
trialStart=trial
#win = Q.initDisplay((1280,1100))
from Preprocess import readEyelink
data=readEyelink(vp,block)
#PATH+='coder%d'% coderid +os.path.sep
for trial in range(trialStart,len(data)):
print vp,block,trial
trl=data[trial]
trl.extractBasicEvents()
trl.driftCorrection(jump=manualDC(vp,block,trial))
trl.extractComplexEvents()
trl.importComplexEvents(coderid=coderid)
#for trial in range(trialStart,len(data)):
R=Coder(gazeData=data[trial],phase=1,eyes=1,coderid=coderid)#,wind=win)
bi=np.logical_and(block==np.int32(behdata[:,1]),trial==np.int32(behdata[:,2])).nonzero()[0][0]
R.behsel= np.int32(behdata[bi,[-3,-5]])
if exportAlgo:
R.saveSelection(coderid=coderid)
R.wind.close()
else: R.play(tlag=tlag)
def replayTrial(vp,block,trial,tlag=0,coderid=0):
behdata=np.loadtxt(os.getcwd().rstrip('code')+'behavioralOutput/vp%03d.res'%vp)
from Preprocess import readEyelink
data=readEyelink(vp,block)
trl=data[trial]
trl.extractBasicEvents()
trl.driftCorrection(jump=manualDC(vp,block,trial))
trl.extractComplexEvents()
trl.importComplexEvents(coderid=coderid)
R=Coder(gazeData=trl,phase=1,eyes=1,coderid=coderid)
bi=np.logical_and(block==np.int32(behdata[:,1]),trial==np.int32(behdata[:,2])).nonzero()[0][0]
R.behsel= np.int32(behdata[bi,[-3,-5]])
#R.saveSelection(coderid=0)
R.play(tlag=tlag)
def replayTrial(vp,block,trial,tlag=0,coderid=0):
''' replays a trial from the chase experiment
vp - subject id
block - block id
trial - trial id
tlag - lag in ms on each frame, useful for slowing down the replay
coderid - coder id whose coding data will be displayed
if the coding data are not available automated coding will be created
'''
behdata=np.loadtxt(os.getcwd().rstrip('code')+'behavioralOutput/vp%03d.res'%vp)
from Preprocess import readEyelink
data=readEyelink(vp,block)
trl=data[trial]
trl.extractBasicEvents()
trl.driftCorrection(jump=manualDC(vp,block,trial))
trl.extractComplexEvents()
trl.importComplexEvents(coderid=coderid)
R=Coder(gazeData=trl,phase=1,eyes=1,coderid=coderid)
bi=np.logical_and(block==np.int32(behdata[:,1]),trial==np.int32(behdata[:,2])).nonzero()[0][0]
R.behsel= np.int32(behdata[bi,[-3,-5]])
#R.saveSelection(coderid=0)
R.play(tlag=tlag)
def replayBlock(vp,block,trial,tlag=0,coderid=0,exportAlgo=False):
behdata=np.loadtxt(os.getcwd().rstrip('code')+'behavioralOutput/vp%03d.res'%vp)
trialStart=trial
#win = Q.initDisplay((1280,1100))
from Preprocess import readEyelink
data=readEyelink(vp,block)
#PATH+='coder%d'% coderid +os.path.sep
for trial in range(trialStart,len(data)):
print vp,block,trial
trl=data[trial]
trl.extractBasicEvents()
trl.driftCorrection(jump=manualDC(vp,block,trial))
trl.extractComplexEvents()
trl.importComplexEvents(coderid=coderid)
#for trial in range(trialStart,len(data)):
R=Coder(gazeData=data[trial],phase=1,eyes=1,coderid=coderid)#,wind=win)
bi=np.logical_and(block==np.int32(behdata[:,1]),trial==np.int32(behdata[:,2])).nonzero()[0][0]
R.behsel= np.int32(behdata[bi,[-3,-5]])
if exportAlgo:
R.saveSelection(coderid=coderid)
R.wind.close()
else: R.play(tlag=tlag)
