def test_dump_load(self):
r = trace.FrequencyResponse()
r = trace.PoleZeroResponse([0j, 0j], [1j, 2j, 1 + 3j, 1 - 3j], 1.0)
r.regularize()
r2 = guts.load_string(r.dump())
assert cnumeq(r.poles, r2.poles, 1e-6)
assert cnumeq(r.zeros, r2.zeros, 1e-6)
assert numeq(r.constant, r2.constant)
r = trace.SampledResponse([0., 1., 5., 10.], [0., 1., 1., 0.])
r.regularize()
r2 = guts.load_string(r.dump())
assert numeq(r.frequencies, r2.frequencies, 1e-6)
assert cnumeq(r.values, r2.values, 1e-6)
r = trace.IntegrationResponse(2, 5.0)
r2 = guts.load_string(r.dump())
assert numeq(r.n, r2.n)
assert numeq(r.gain, r2.gain, 1e-6)
r = trace.DifferentiationResponse(2, 5.0)
r2 = guts.load_string(r.dump())
assert numeq(r.n, r2.n)
assert numeq(r.gain, r2.gain, 1e-6)
r = trace.AnalogFilterResponse(a=[1.0, 2.0, 3.0], b=[2.0, 3.0])
r2 = guts.load_string(r.dump())
assert numeq(r.a, r2.a, 1e-6)
assert numeq(r.b, r2.b, 1e-6)
def testMisfitOfSameTracesZero(self):
y = num.random.random(10000)
y -= max(y) * 0.5
t1 = trace.Trace(tmin=0, ydata=y, deltat=0.01)
t2 = trace.Trace(tmin=0, ydata=y, deltat=0.01)
# ttraces = [t2]
fresponse = trace.FrequencyResponse()
taper = trace.CosFader(xfade=2.)
norms = [1, 2]
domains = ['time_domain', 'frequency_domain', 'envelope', 'absolute']
setups = [
trace.MisfitSetup(norm=n,
taper=taper,
domain=domain,
filter=fresponse) for domain in domains
for n in norms
]
for setup in setups:
m, n, tr, tc = t1.misfit(candidate=t2, setup=setup, debug=True)
if isinstance(tr, trace.Trace):
self.assertEqual(tr.tmin, tc.tmin)
self.assertTrue(all(tr.get_ydata() == tc.get_ydata()))
else:
self.assertTrue(all(tc == tr))
self.assertEqual(m, 0., 'misfit\'s m of equal traces is != 0')
def testMisfitOfSameTracesDtDifferentShifted(self):
"""
Tests:
Different length
Different delta t
Shifted
L2-Norm
L1-Norm
time- and frequency-domain
"""
test_file = os.path.join(os.path.dirname(__file__),
'../examples/1989.072.evt.mseed')
p = pile.make_pile(test_file, show_progress=False)
rt = p.all()[0]
tt = rt.copy()
# make downsampled, chopped copies:
deltats = [0.5, 1.0, 2.0]
tt.chop(tmin=rt.tmin + 10, tmax=rt.tmax - 15)
tts = [tt.copy() for i in range(len(deltats))]
[t.downsample_to(deltats[i]) for i, t in enumerate(tts)]
# shift traces:
t_shifts = [1.0, 0.49999, 0.5]
for ts in t_shifts:
tts_shifted = [t.copy() for t in tts]
map(lambda x: x.shift(ts), tts_shifted)
tts.extend(tts_shifted)
a = rt.tmin
d = rt.tmax
b = a + (d - a) / 10
c = d - (d - a) / 10
taper = trace.CosTaper(a, b, c, d)
fresponse = trace.FrequencyResponse()
norms = [1, 2]
domains = ['time_domain', 'frequency_domain', 'envelope', 'absolute']
setups = [
trace.MisfitSetup(norm=n,
taper=taper,
domain=domain,
filter=fresponse) for domain in domains
for n in norms
]
for cand in tts:
for setup in setups:
m, n = rt.misfit(candidate=cand, setup=setup)
self.assertNotEqual(m, None, 'misfit\'s m is None')
