def parse_phase(self, l):
# Only store the sample_stim and wmdelay phases, and downsample the
# samples to 100 Hz.
if self.current_phase in ('target', 'fixation') or \
'target' in l or 'fixation' in l:
EyeLinkParser.parse_phase(self, l)
def parse_phase(self, l):
if self.current_phase in ('cue', 'retention', 'preAttProbe') \
or 'cue' in l or 'retention' in l or 'preAttProbe' in l:
s = sample(l)
if s is None or s.t % DOWNSAMPLE == 0:
EyeLinkParser.parse_phase(self, l)
def end_phase(self, l):
EyeLinkParser.end_phase(self, l)
del self.trialdm.fixetlist_phase
del self.trialdm.fixstlist_phase
del self.trialdm.fixxlist_phase
del self.trialdm.fixylist_phase
def end_phase(self):
if len(self.ptrace) > MAXDEPTH:
warnings.warn('Very long trace, truncating to 5000: %s (%d)' \
% (self.current_phase, len(self.ptrace)))
self.ptrace = self.ptrace[:MAXDEPTH]
self.xtrace = self.xtrace[:MAXDEPTH]
self.ytrace = self.ytrace[:MAXDEPTH]
EyeLinkParser.end_phase(self)
def split(self, line):
l = EyeLinkParser.split(self, line)
# Convert samples to EyeLink format. The IDF encodes like this:
# 00 Time
# 01 Type
# 02 Trial
# 03 L Dia X [px]
# 04 L Dia Y [px]
# 05 L Mapped Diameter [mm]
# 06 R Dia X [px]
# 07 R Dia Y [px]
# 08 R Mapped Diameter [mm]
# 09 L POR X [px]
# 10 L POR Y [px]
# 11 R POR X [px]
# 12 R POR Y [px]
# 13 Timing
# 14 Latency
# 15 L Validity
# 16 R Validity
# 17 Pupil Confidence
# 18 L Plane
# 19 R Plane
# 20 L EPOS X
# 21 L EPOS Y
# 22 L EPOS Z
# 23 R EPOS X
# 24 R EPOS Y
# 25 R EPOS Z
# 26 L GVEC X
# 27 L GVEC Y
# 28 L GVEC Z
# 29 R GVEC X
# 30 R GVEC Y
# 31 R GVEC Z
# 32 Aux1 (seems to be missing in actual data. Maybe an extra field?)
if not l or len(l) < 32 or l[1] != u'SMP':
# Not a sample!
return l
x = .5 * l[20] + .5 * l[23]
y = .5 * l[21] + .5 * l[24]
ps = .5 * l[5] + .5 * l[8]
t = l[0]
return [t, x, y, ps, u'...']
def split(self, line):
l = EyeLinkParser.split(self, line)
if not l:
return l
# Convert messages to EyeLink format
if l[0] == u'MSG':
l = l[3:]
l.insert(0, u'MSG')
return l
# Convert samples to EyeLink format:
if len(l) == 24:
x, y, ps = l[7:10]
t = l[2]
fix = l[3] == 'True'
if fix:
if not self.infix:
self.xlist = []
self.ylist = []
self.tlist = []
self.pslist = []
self.xlist.append(x)
self.ylist.append(y)
self.tlist.append(t)
self.pslist.append(ps)
elif self.infix:
mx = np.nanmean(self.xlist)
my = np.nanmean(self.ylist)
mps = np.nanmean(self.pslist)
st = self.tlist[0]
et = self.tlist[-1]
self.parse_phase(['EFIX', 'R', st, et, et - st, mx, my, mps])
self.infix = fix
l = [l[2], x, y, ps, u'...']
return l
return l
def __init__(self, **kwargs):
if u'ext' not in kwargs:
kwargs[u'ext'] = [u'.tar.xz', u'.tsv']
self.on_start_trial = chain(self.init_infix, self.on_start_trial)
EyeLinkParser.__init__(self, **kwargs)
def __init__(self, **kwargs):
if u'ext' not in kwargs:
kwargs[u'ext'] = [u'.tar.xz', u'.txt']
EyeLinkParser.__init__(self, **kwargs)
def parse_sample(self, s):
if s.pupil_size == '#':
return
EyeLinkParser.parse_sample(self, s)