Add finish_picking which transfers all results into the correct format in PickingResults
This function is called whether picking succeeded or failed. If it failed, it will put the default initialized values into the result. If picking succeeded, the default values will have been overwritten with the results during picking.
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@ -399,6 +399,75 @@ class AutopickStation(object):
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except MissingTraceException as mte:
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except MissingTraceException as mte:
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print(mte)
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print(mte)
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return
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return
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def finish_picking(self):
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# calculate "real" onset times, save them in PickingResults
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if self.p_results.lpickP is not None and self.p_results.lpickP == self.p_results.mpickP:
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self.p_results.lpickP += self.ztrace.stats.delta
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if self.p_results.epickP is not None and self.p_results.epickP == self.p_results.mpickP:
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self.p_results.epickP -= self.ztrace.stats.delta
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if self.p_results.mpickP is not None and self.p_results.epickP is not None and self.p_results.lpickP is not None:
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lpickP = self.ztrace.stats.starttime + self.p_results.lpickP
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epickP = self.ztrace.stats.starttime + self.p_results.epickP
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mpickP = self.ztrace.stats.starttime + self.p_results.mpickP
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else:
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# dummy values (start of seismic trace) in order to derive
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# theoretical onset times for iterative picking
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lpickP = self.ztrace.stats.starttime + self.p_params.timeerrorsP[3]
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epickP = self.ztrace.stats.starttime - self.p_params.timeerrorsP[3]
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mpickP = self.ztrace.stats.starttime
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# add picking results to PickingResults instance
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self.p_results.channel = self.ztrace.stats.channel
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self.p_results.network = self.ztrace.stats.network
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self.p_results.lpp = lpickP
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self.p_results.epp = epickP
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self.p_results.mpp = mpickP
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self.p_results.snrdb = self.p_results.SNRPdB
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self.p_results.snr = self.p_results.SNRP
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self.p_results.marked = self.p_results.Pmarker # TODO add equal implementation as in old function
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self.p_results.weight = self.p_results.Pweight
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self.p_results.fm = self.p_results.FM
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self.p_results.spe = self.p_results.Perror
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self.p_results.Mo = None # TODO what is this parameter for?
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#
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# S results
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#
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if self.etrace:
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hdat = self.etrace
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elif self.ntrace:
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hdat = self.ntrace
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# TODO picks are calculated with stats from E trace if it exists, otherwise stats from N trace is used.
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# What if the stats are different?
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if self.s_results.lpickS is not None and self.s_results.lpickS == self.s_results.mpickS:
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self.s_results.lpickS += hdat.stats.delta
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if self.s_results.epickS is not None and self.s_results.epickS == self.s_results.mpickS:
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self.s_results.epickS -= hdat.stats.delta
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if self.s_results.mpickS is not None and self.s_results.epickS is not None and self.s_results.lpickS is not None:
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lpickS = hdat.stats.starttime + self.s_results.lpickS
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epickS = hdat.stats.starttime + self.s_results.epickS
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mpickS = hdat.stats.starttime + self.s_results.mpickS
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else:
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# dummy values (start of seismic trace) in order to derive
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# theoretical onset times for iteratve picking
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lpickS = hdat.stats.starttime + self.s_params.timeerrorsS[3]
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epickS = hdat.stats.starttime - self.s_params.timeerrorsS[3]
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mpickS = hdat.stats.starttime
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self.s_results.channel = self.etrace.stats.channel
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self.s_results.network = self.etrace.stats.network
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self.s_results.lpp = lpickS
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self.s_results.epp = epickS
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self.s_results.mpp = mpickS
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self.s_results.spe = self.s_results.Serror
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self.s_results.snr = self.s_results.SNRS
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self.s_results.snrdb = self.s_results.SNRSdB
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self.s_results.weight = self.s_results.Sweight
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self.s_results.fm = None
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self.s_results.picker='auto'
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self.s_results.Ao = None
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def pick_p_phase(self):
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def pick_p_phase(self):
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"""
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"""
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