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