def test_copy(self):
"""
Testing copy of RtTrace object.
"""
rtr = RtTrace()
rtr.copy()
# register predefined function
rtr.registerRtProcess('integrate', test=1, muh='maeh')
rtr.copy()
# register ObsPy function call
rtr.registerRtProcess(filter.bandpass, freqmin=0, freqmax=1, df=0.1)
rtr.copy()
# register NumPy function call
rtr.registerRtProcess(np.square)
rtr.copy()
def test_copy(self):
"""
Testing copy of RtTrace object.
"""
rtr = RtTrace()
rtr.copy()
# register predefined function
rtr.registerRtProcess('integrate', test=1, muh='maeh')
rtr.copy()
# register ObsPy function call
rtr.registerRtProcess(filter.bandpass, freqmin=0, freqmax=1, df=0.1)
rtr.copy()
# register NumPy function call
rtr.registerRtProcess(np.square)
rtr.copy()
def test_rt_kurtosis_dec(self):
win = 5.0
data_trace = self.data_trace_filt.copy()
data_trace_dec = self.data_trace_filt.copy()
# no need to filter as we're using a pre-filtered trace
data_trace_dec.decimate(5, no_filter=True)
rt_trace = RtTrace()
rt_dec = RtTrace()
rt_trace.registerRtProcess('kurtosis', win=win)
rt_dec.registerRtProcess('kurtosis', win=win)
rt_trace.append(data_trace, gap_overlap_check=True)
rt_dec.append(data_trace_dec, gap_overlap_check=True)
newtr = rt_trace.copy()
newtr.decimate(5, no_filter=True)
#assert_array_almost_equal(rt_dec.data, newtr.data, 0)
diff = (np.max(rt_dec.data) - np.max(newtr.data)) / np.max(rt_dec.data)
self.assertAlmostEquals(np.abs(diff), 0.0, 2)
def test_rt_kurtosis_dec(self):
win=5.0
data_trace=self.data_trace_filt.copy()
data_trace_dec=self.data_trace_filt.copy()
# no need to filter as we're using a pre-filtered trace
data_trace_dec.decimate(5,no_filter=True)
rt_trace=RtTrace()
rt_dec=RtTrace()
rt_trace.registerRtProcess('kurtosis',win=win)
rt_dec.registerRtProcess('kurtosis',win=win)
rt_trace.append(data_trace, gap_overlap_check = True)
rt_dec.append(data_trace_dec, gap_overlap_check = True)
newtr=rt_trace.copy()
newtr.decimate(5, no_filter=True)
#assert_array_almost_equal(rt_dec.data, newtr.data, 0)
diff=(np.max(rt_dec.data)-np.max(newtr.data)) / np.max(rt_dec.data)
self.assertAlmostEquals(np.abs(diff) , 0.0, 2)
