Decrease indentation in pick_s_phase
Instead of checking if(condition){DoSomething()}; check if (!condition){ErrorOut()}; DoSomething();.
This allows to decrease the indentation of the potentially large codeblock DoSomething().
This commit is contained in:
Darius Arnold
parent
02873938cb
commit
6d26338f2e
@ -920,108 +920,114 @@ class AutopickStation(object):
|
||||
if not slope:
|
||||
slope = 0
|
||||
|
||||
if slope >= self.s_params.minAICSslope and aicarhpick.getSNR() >= self.s_params.minAICSSNR and aicarhpick.getpick() is not None:
|
||||
self.s_results.aicSflag = 1
|
||||
msg = 'AIC S-pick passes quality control: Slope: {0} counts/s, ' \
|
||||
'SNR: {1}\nGo on with refined picking ...\n' \
|
||||
'autopickstation: re-filtering horizontal traces ' \
|
||||
'...'.format(aicarhpick.getSlope(), aicarhpick.getSNR())
|
||||
self.vprint(msg)
|
||||
if slope < self.s_params.minAICSslope:
|
||||
error_msg = error_msg = 'AIC S onset slope to small: got {}, min {}'.format(slope, self.s_params.minAICSslope)
|
||||
raise PickingFailedException(error_msg)
|
||||
if aicarhpick.getSNR() < self.s_params.minAICSSNR:
|
||||
error_msg = 'AIC S onset SNR to small: got {}, min {}'.format(aicarhpick.getSNR(), self.s_params.minAICSSNR)
|
||||
raise PickingFailedException(error_msg)
|
||||
if aicarhpick.getpick() is None:
|
||||
error_msg = 'Invalid AIC S pick!'
|
||||
raise PickingFailedException(error_msg)
|
||||
#if slope >= self.s_params.minAICSslope and aicarhpick.getSNR() >= self.s_params.minAICSSNR and aicarhpick.getpick() is not None:
|
||||
self.s_results.aicSflag = 1
|
||||
msg = 'AIC S-pick passes quality control: Slope: {0} counts/s, ' \
|
||||
'SNR: {1}\nGo on with refined picking ...\n' \
|
||||
'autopickstation: re-filtering horizontal traces ' \
|
||||
'...'.format(aicarhpick.getSlope(), aicarhpick.getSNR())
|
||||
self.vprint(msg)
|
||||
|
||||
# recalculate cf from refiltered trace in vicinity of initial onset
|
||||
start = round(aicarhpick.getpick() - self.s_params.Srecalcwin)
|
||||
stop = round(aicarhpick.getpick() + self.s_params.Srecalcwin)
|
||||
cuttimesh2 = (start, stop)
|
||||
# recalculate cf from refiltered trace in vicinity of initial onset
|
||||
start = round(aicarhpick.getpick() - self.s_params.Srecalcwin)
|
||||
stop = round(aicarhpick.getpick() + self.s_params.Srecalcwin)
|
||||
cuttimesh2 = (start, stop)
|
||||
|
||||
# refilter waveform with larger bandpass
|
||||
if self.s_params.algoS == 'ARH':
|
||||
trH1_filt, _ = self.prepare_wfstream(self.estream, freqmin=self.s_params.bph2[0], freqmax=self.s_params.bph2[1])
|
||||
trH2_filt, _ = self.prepare_wfstream(self.nstream, freqmin=self.s_params.bph2[0], freqmax=self.s_params.bph2[1])
|
||||
h_copy = hdat.copy()
|
||||
h_copy[0].data = trH1_filt.data
|
||||
h_copy[1].data = trH2_filt.data
|
||||
elif self.s_params.algoS == 'AR3':
|
||||
trH3_filt, _ = self.prepare_wfstream(self.zstream, freqmin=self.s_params.bph2[0], freqmax=self.s_params.bph2[1])
|
||||
trH1_filt, _ = self.prepare_wfstream(self.estream, freqmin=self.s_params.bph2[0], freqmax=self.s_params.bph2[1])
|
||||
trH2_filt, _ = self.prepare_wfstream(self.nstream, freqmin=self.s_params.bph2[0], freqmax=self.s_params.bph2[1])
|
||||
h_copy = hdat.copy()
|
||||
h_copy[0].data = trH3_filt.data
|
||||
h_copy[1].data = trH1_filt.data
|
||||
h_copy[2].data = trH2_filt.data
|
||||
# refilter waveform with larger bandpass
|
||||
if self.s_params.algoS == 'ARH':
|
||||
trH1_filt, _ = self.prepare_wfstream(self.estream, freqmin=self.s_params.bph2[0], freqmax=self.s_params.bph2[1])
|
||||
trH2_filt, _ = self.prepare_wfstream(self.nstream, freqmin=self.s_params.bph2[0], freqmax=self.s_params.bph2[1])
|
||||
h_copy = hdat.copy()
|
||||
h_copy[0].data = trH1_filt.data
|
||||
h_copy[1].data = trH2_filt.data
|
||||
elif self.s_params.algoS == 'AR3':
|
||||
trH3_filt, _ = self.prepare_wfstream(self.zstream, freqmin=self.s_params.bph2[0], freqmax=self.s_params.bph2[1])
|
||||
trH1_filt, _ = self.prepare_wfstream(self.estream, freqmin=self.s_params.bph2[0], freqmax=self.s_params.bph2[1])
|
||||
trH2_filt, _ = self.prepare_wfstream(self.nstream, freqmin=self.s_params.bph2[0], freqmax=self.s_params.bph2[1])
|
||||
h_copy = hdat.copy()
|
||||
h_copy[0].data = trH3_filt.data
|
||||
h_copy[1].data = trH1_filt.data
|
||||
h_copy[2].data = trH2_filt.data
|
||||
|
||||
# save filtered traces for plotting
|
||||
self.estream_bph2 = trH1_filt
|
||||
self.nstream_bph2 = trH2_filt
|
||||
# save filtered traces for plotting
|
||||
self.estream_bph2 = trH1_filt
|
||||
self.nstream_bph2 = trH2_filt
|
||||
|
||||
# calculate second cf
|
||||
if self.s_params.algoS == 'ARH':
|
||||
arhcf2 = ARHcf(h_copy, cuttimesh2, self.s_params.tpred2h, self.s_params.Sarorder, self.s_params.tdet2h, self.p_params.addnoise)
|
||||
elif self.s_params.algoS == 'AR3':
|
||||
arhcf2 = AR3Ccf(h_copy, cuttimesh2, self.s_params.tpred2h, self.s_params.Sarorder, self.s_params.tdet2h, self.p_params.addnoise)
|
||||
# save cf for later plotting
|
||||
self.arhcf2 = arhcf2
|
||||
# calculate second cf
|
||||
if self.s_params.algoS == 'ARH':
|
||||
arhcf2 = ARHcf(h_copy, cuttimesh2, self.s_params.tpred2h, self.s_params.Sarorder, self.s_params.tdet2h, self.p_params.addnoise)
|
||||
elif self.s_params.algoS == 'AR3':
|
||||
arhcf2 = AR3Ccf(h_copy, cuttimesh2, self.s_params.tpred2h, self.s_params.Sarorder, self.s_params.tdet2h, self.p_params.addnoise)
|
||||
# save cf for later plotting
|
||||
self.arhcf2 = arhcf2
|
||||
|
||||
# get refined onset time from CF2
|
||||
fig, linecolor = get_fig_from_figdict(self.fig_dict, 'refSpick')
|
||||
refSpick = PragPicker(arhcf2, self.s_params.tsnrh, self.s_params.pickwinS, self.iplot, self.s_params.ausS, self.s_params.tsmoothS, aicarhpick.getpick(), fig, linecolor)
|
||||
# save refSpick for later plotitng
|
||||
self.refSpick = refSpick
|
||||
self.s_results.mpickS = refSpick.getpick()
|
||||
# get refined onset time from CF2
|
||||
fig, linecolor = get_fig_from_figdict(self.fig_dict, 'refSpick')
|
||||
refSpick = PragPicker(arhcf2, self.s_params.tsnrh, self.s_params.pickwinS, self.iplot, self.s_params.ausS, self.s_params.tsmoothS, aicarhpick.getpick(), fig, linecolor)
|
||||
# save refSpick for later plotitng
|
||||
self.refSpick = refSpick
|
||||
self.s_results.mpickS = refSpick.getpick()
|
||||
|
||||
if self.s_results.mpickS is not None:
|
||||
# quality assessment
|
||||
# get earliest/latest possible pick and symmetrized uncertainty
|
||||
h_copy[0].data = trH1_filt.data
|
||||
if self.iplot:
|
||||
fig, linecolor = get_fig_from_figdict(self.fig_dict, 'el_S1pick')
|
||||
epickS1, lpickS1, Serror1 = earllatepicker(h_copy, self.s_params.nfacS, self.s_params.tsnrh, self.s_results.mpickS, self.iplot, fig=fig, linecolor=linecolor)
|
||||
if self.s_results.mpickS is not None:
|
||||
# quality assessment
|
||||
# get earliest/latest possible pick and symmetrized uncertainty
|
||||
h_copy[0].data = trH1_filt.data
|
||||
if self.iplot:
|
||||
fig, linecolor = get_fig_from_figdict(self.fig_dict, 'el_S1pick')
|
||||
epickS1, lpickS1, Serror1 = earllatepicker(h_copy, self.s_params.nfacS, self.s_params.tsnrh, self.s_results.mpickS, self.iplot, fig=fig, linecolor=linecolor)
|
||||
|
||||
h_copy[0].data = trH2_filt.data
|
||||
if self.iplot:
|
||||
fig, linecolor = get_fig_from_figdict(self.fig_dict, 'el_S2pick')
|
||||
else:
|
||||
# why is it set to empty here? DA
|
||||
linecolor = ''
|
||||
epickS2, lpickS2, Serror2 = earllatepicker(h_copy, self.s_params.nfacS, self.s_params.tsnrh, self.s_results.mpickS, self.iplot, fig=fig, linecolor=linecolor)
|
||||
h_copy[0].data = trH2_filt.data
|
||||
if self.iplot:
|
||||
fig, linecolor = get_fig_from_figdict(self.fig_dict, 'el_S2pick')
|
||||
else:
|
||||
# why is it set to empty here? DA
|
||||
linecolor = ''
|
||||
epickS2, lpickS2, Serror2 = earllatepicker(h_copy, self.s_params.nfacS, self.s_params.tsnrh, self.s_results.mpickS, self.iplot, fig=fig, linecolor=linecolor)
|
||||
|
||||
if epickS1 is not None and epickS2 is not None:
|
||||
if self.s_params.algoS == 'ARH':
|
||||
# get earliest pick of both earliest possible picks
|
||||
epick = [epickS1, epickS2]
|
||||
lpick = [lpickS1, lpickS2]
|
||||
pickerr = [Serror1, Serror2]
|
||||
if epickS1 is not None and epickS2 is not None:
|
||||
if self.s_params.algoS == 'ARH':
|
||||
# get earliest pick of both earliest possible picks
|
||||
epick = [epickS1, epickS2]
|
||||
lpick = [lpickS1, lpickS2]
|
||||
pickerr = [Serror1, Serror2]
|
||||
ipick = np.argmin(epick)
|
||||
if self.s_params.algoS == 'AR3':
|
||||
epickS3, lpickS3, Serror3 = earllatepicker(h_copy, self.s_params.nfacS, self.s_params.tsnrh, self.s_results.mpickS, self.iplot)
|
||||
# get earliest of all three picks
|
||||
epick = [epickS1, epickS2, epickS3]
|
||||
lpick = [lpickS1, lpickS2, lpickS3]
|
||||
pickerr = [Serror1, Serror2, Serror3]
|
||||
|
||||
if epickS3 is not None:
|
||||
ipick = np.argmin(epick)
|
||||
if self.s_params.algoS == 'AR3':
|
||||
epickS3, lpickS3, Serror3 = earllatepicker(h_copy, self.s_params.nfacS, self.s_params.tsnrh, self.s_results.mpickS, self.iplot)
|
||||
# get earliest of all three picks
|
||||
epick = [epickS1, epickS2, epickS3]
|
||||
lpick = [lpickS1, lpickS2, lpickS3]
|
||||
pickerr = [Serror1, Serror2, Serror3]
|
||||
else:
|
||||
ipick = np.argmin([epickS1, epickS2])
|
||||
self.s_results.epickS = epick[ipick]
|
||||
self.s_results.lpickS = lpick[ipick]
|
||||
self.s_results.Serror = pickerr[ipick]
|
||||
|
||||
if epickS3 is not None:
|
||||
ipick = np.argmin(epick)
|
||||
else:
|
||||
ipick = np.argmin([epickS1, epickS2])
|
||||
self.s_results.epickS = epick[ipick]
|
||||
self.s_results.lpickS = lpick[ipick]
|
||||
self.s_results.Serror = pickerr[ipick]
|
||||
msg = 'autopickstation: Refined S-Pick: {} s | S-Error: {} s'.format(self.s_results.mpickS, self.s_results.Serror)
|
||||
print(msg)
|
||||
|
||||
msg = 'autopickstation: Refined S-Pick: {} s | S-Error: {} s'.format(self.s_results.mpickS, self.s_results.Serror)
|
||||
print(msg)
|
||||
# get SNR
|
||||
self.s_results.SNRS, self.s_results.SNRSdB, self.s_results.Snoiselevel = getSNR(h_copy, self.s_params.tsnrh, self.s_results.mpickS)
|
||||
|
||||
# get SNR
|
||||
self.s_results.SNRS, self.s_results.SNRSdB, self.s_results.Snoiselevel = getSNR(h_copy, self.s_params.tsnrh, self.s_results.mpickS)
|
||||
self.s_results.Sweight = get_quality_class(self.s_results.Serror, self.s_params.timeerrorsS)
|
||||
|
||||
self.s_results.Sweight = get_quality_class(self.s_results.Serror, self.s_params.timeerrorsS)
|
||||
print('autopickstation: S-weight: {0}, SNR: {1}, '
|
||||
'SNR[dB]: {2}\n'
|
||||
'##################################################'
|
||||
''.format(self.s_results.Sweight, self.s_results.SNRS, self.s_results.SNRSdB))
|
||||
|
||||
print('autopickstation: S-weight: {0}, SNR: {1}, '
|
||||
'SNR[dB]: {2}\n'
|
||||
'##################################################'
|
||||
''.format(self.s_results.Sweight, self.s_results.SNRS, self.s_results.SNRSdB))
|
||||
|
||||
else:
|
||||
print('autopickstation: No horizontal component data available or '
|
||||
'bad P onset, skipping S picking!')
|
||||
|
||||
def get_fig_from_figdict(figdict, figkey):
|
||||
"""
|
||||
|
||||
Loading…
Reference in New Issue
Block a user