def testContinuousDownsample(self):
y = num.random.random(1000)
for (dt1, dt2) in [(0.1, 1.0), (0.2, 1.0), (0.5, 1.0), (0.2, 0.4),
(0.4, 1.2)]:
for tadd in (0.0, 0.01, 0.2, 0.5, 0.7, 0.75):
a = trace.Trace(tmin=sometime + tadd, deltat=dt1, ydata=y)
bs = [
trace.Trace(location='b',
tmin=sometime + i * dt1 * 100 + tadd,
deltat=dt1,
ydata=y[i * 100:(i + 1) * 100])
for i in range(10)
]
a.downsample_to(dt2, demean=False, snap=True)
c2s = []
downsampler = trace.co_downsample_to(trace.co_list_append(c2s),
dt2)
for b in bs:
c = downsampler.send(b)
c2s.append(c)
downsampler.close()
assert (round(c2s[0].tmin / dt2) * dt2 - c2s[0].tmin) \
/ dt1 < 0.5001
def testContinuousDownsample(self):
y = num.random.random(1000)
for (dt1, dt2) in [
(0.1, 1.0),
(0.2, 1.0),
(0.5, 1.0),
(0.2, 0.4),
(0.4, 1.2)]:
for tadd in (0.0, 0.01, 0.2, 0.5, 0.7, 0.75):
a = trace.Trace(tmin=sometime+tadd, deltat=dt1, ydata=y)
bs = [trace.Trace(
location='b',
tmin=sometime+i*dt1*100+tadd,
deltat=dt1,
ydata=y[i*100:(i+1)*100]) for i in range(10)]
a.downsample_to(dt2, demean=False, snap=True)
c2s = []
downsampler = trace.co_downsample_to(
trace.co_list_append(c2s), dt2)
for b in bs:
c = downsampler.send(b)
c2s.append(c)
downsampler.close()
assert (round(c2s[0].tmin / dt2) * dt2 - c2s[0].tmin) \
/ dt1 < 0.5001
def __init__(self, mapping, deltat):
Processor.__init__(self)
self._mapping = mapping
self._downsampler = tracemod.co_downsample_to(deltat)
def __init__(self, mapping, deltat):
Processor.__init__(self)
self._mapping = mapping
self._downsampler = tracemod.co_downsample_to(deltat)