def test_intersection(self):
inter1 = Interval(0, 10)
inter2 = Interval(15, 20)
inter = inter1.intersection(inter2)
assert inter.empty
assert inter.start == 0
inter = inter2.intersection(inter1)
assert inter.empty
assert inter.start == 0
inter2 = Interval(5, 15)
inter = inter2.intersection(inter1)
assert inter.start == 5
assert inter.end == 10
inter = inter1.intersection(inter2)
assert inter.start == 5
assert inter.end == 10
inter2 = Interval(10, 15)
inter = inter1.intersection(inter2)
assert inter.empty
inter = inter2.intersection(inter1)
assert inter.empty
inter2 = Interval(-1, 0)
inter = inter1.intersection(inter2)
assert inter.empty
inter = inter2.intersection(inter1)
assert inter.empty
def eval_vflut(anns, _):
"""Evaluates the ventricular flutter presence"""
lth, uth, dth = ms2sp(
(4 * 60 + 45) * 1000), ms2sp(5 * 60 * 1000), ms2sp(3500)
#We remove separations between consecutive flutter fragments
i = 0
while i < len(anns):
if anns[i].code is ECGCodes.VFOFF:
onset = next((j for j in range(i, len(anns))
if anns[j].code is ECGCodes.VFON), None)
if onset is not None and anns[i].time == anns[onset].time:
anns.pop(onset)
anns.pop(i)
i -= 1
i += 1
vflim = (a for a in anns if a.code in (ECGCodes.VFON, ECGCodes.VFOFF))
vfluts = []
while True:
try:
beg = next(vflim)
end = next(vflim)
vfluts.append(Iv(beg.time, end.time))
except StopIteration:
break
#If the record shows many flutter fragments, we simply check some flutter
#waves in the last 15 seconds.
if sum(fl.length for fl in vfluts) > ms2sp(20000):
vfw = [
a.time for a in anns
if a.code is ECGCodes.FLWAV and lth <= a.time <= uth
]
return len(vfw) > 5
interv = Iv(lth, uth)
return any([interv.intersection(vflut).length > dth for vflut in vfluts])