Add correct way to put picking results even when picking fails, now passing all tests
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f4750472c7
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fe1e76f53a
@ -184,14 +184,18 @@ class PickingResults(dict):
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self.Perror = None # symmetrized picking error P onset
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self.Perror = None # symmetrized picking error P onset
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self.Serror = None # symmetrized picking error S onset
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self.Serror = None # symmetrized picking error S onset
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self.aicSflag = 0
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#self.aicSflag = 0
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self.aicPflag = 0
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#self.aicPflag = 0
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self.Pflag = 0
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#self.Pflag = 0
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self.Sflag = 0
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self.Pmarker = []
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self.Pmarker = []
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self.Ao = None # Wood-Anderson peak-to-peak amplitude
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self.Ao = None # Wood-Anderson peak-to-peak amplitude
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self.picker = 'auto' # type of picks
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self.picker = 'auto' # type of picks
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# these get added during the construction of the p pick results dictionary
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self.w0 = None
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self.fc = None
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self.Mw = None
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def __setattr__(self, key, value):
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def __setattr__(self, key, value):
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self[key] = value
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self[key] = value
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@ -253,6 +257,9 @@ class AutopickStation(object):
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self.taper_max_percentage = 0.05
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self.taper_max_percentage = 0.05
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self.taper_type = 'hann'
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self.taper_type = 'hann'
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# initialize picking results
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self.p_results = PickingResults()
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self.s_results = PickingResults()
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def vprint(self, s):
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def vprint(self, s):
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"""Only print statement if verbose picking is set to true."""
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"""Only print statement if verbose picking is set to true."""
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@ -400,11 +407,25 @@ class AutopickStation(object):
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def autopickstation(self):
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def autopickstation(self):
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try:
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try:
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self.pick_p_phase()
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self.pick_p_phase()
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#TODO handle exceptions correctly
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#TODO handle exceptions correctly (goal is to be compatible with old code first)
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# requires an overlook of what should be returned in case picking fails at various stages
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# requires an overlook of what should be returned in case picking fails at various stages
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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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except PickingFailedException as pfe:
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print(pfe)
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if self.estream is not None and self.nstream is not None and len(self.estream) > 0 and len(self.nstream) > 0 and self.p_results.Pweight is not None and self.p_results.Pweight < 4:
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try:
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self.pick_s_phase()
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# TODO: when an exception occurs, return picking results so far. This requires that the pick methods save their results in the instance member of PickingResults
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except MissingTraceException as mte:
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print(mte)
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except PickingFailedException as pfe:
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print(pfe)
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self.finish_picking()
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return {'P': self.p_results, 'S':self.s_results, 'station':self.ztrace.stats.station} #TODO method to format picking results as a dict correctly
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def finish_picking(self):
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def finish_picking(self):
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# calculate "real" onset times, save them in PickingResults
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# calculate "real" onset times, save them in PickingResults
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@ -492,18 +513,22 @@ class AutopickStation(object):
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self.vprint(msg)
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self.vprint(msg)
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tr_filt, z_copy = self.prepare_wfstream(self.zstream, self.p_params.bpz1[0], self.p_params.bpz1[1])
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tr_filt, z_copy = self.prepare_wfstream(self.zstream, self.p_params.bpz1[0], self.p_params.bpz1[1])
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# save filtered trace in instance for later plotting
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self.tr_filt_z = tr_filt
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if self.p_params.use_taup is True and self.origin is not None:
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if self.p_params.use_taup is True and self.origin is not None:
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Lc = np.inf # what is Lc? DA
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Lc = np.inf # what is Lc? DA
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try:
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try:
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self.modify_starttimes_taupy()
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self.modify_starttimes_taupy()
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except AttributeError as ae:
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except AttributeError as ae:
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print(ae)
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print(ae)
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else:
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#TODO handle case of no metadata/origin. Picking should continue without taupy.
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if self.p_params.use_taup is False or self.origin:
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Lc = self.p_params.pstop - self.p_params.pstart
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Lc = self.p_params.pstop - self.p_params.pstart
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Lwf = self.ztrace.stats.endtime - self.ztrace.stats.starttime
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Lwf = self.ztrace.stats.endtime - self.ztrace.stats.starttime
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if Lwf < 0:
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if Lwf < 0:
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print('autopickstation: empty trace! Return!')
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print('autopickstation: empty trace! Return!')
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return
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return
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#Todo add correct exception here
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Ldiff = Lwf - abs(Lc)
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Ldiff = Lwf - abs(Lc)
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if Ldiff < 0 or self.p_params.pstop <= self.p_params.pstart:
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if Ldiff < 0 or self.p_params.pstop <= self.p_params.pstart:
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@ -522,6 +547,8 @@ class AutopickStation(object):
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self.p_params.addnoise)
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self.p_params.addnoise)
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else:
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else:
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cf1 = None
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cf1 = None
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# save cf1 for plotting
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self.cf1 = cf1
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assert isinstance(cf1, CharacteristicFunction), 'cf2 is not set ' \
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assert isinstance(cf1, CharacteristicFunction), 'cf2 is not set ' \
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'correctly: maybe the algorithm name ({algoP}) is ' \
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'correctly: maybe the algorithm name ({algoP}) is ' \
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'corrupted'.format(algoP=self.p_params.algoP)
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'corrupted'.format(algoP=self.p_params.algoP)
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@ -562,21 +589,21 @@ class AutopickStation(object):
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minsiglength,
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minsiglength,
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self.signal_length_params.noisefactor,
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self.signal_length_params.noisefactor,
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self.signal_length_params.minpercent, self.iplot, fig, linecolor)
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self.signal_length_params.minpercent, self.iplot, fig, linecolor)
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if Pflag == 0:
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Pmarker = 'shortsignallength'
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Pweight = 9
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if Pflag == 1:
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if Pflag == 1:
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if len(self.nstream) == 0 or len(self.estream) == 0:
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if self.nstream == self.estream:
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msg = 'One or more horizontal components missing!\n' \
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msg = 'One or more horizontal components missing!\n' \
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'Skipping control function checkZ4S.'
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'Skipping control function checkZ4S.'
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self.vprint(msg)
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self.vprint(msg)
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else:
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else:
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if self.iplot > 1:
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if self.iplot > 1:
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fig, linecolor = get_fig_from_figdict(self.fig_dict, 'checkZ4s')
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fig, linecolor = get_fig_from_figdict(self.fig_dict, 'checkZ4s')
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Pflag = checkZ4S(zne, aicpick.getpick(), self.s_params.zfac, self.p_params.tsnrz[2], self.iplot, fig, linecolor)
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Pflag = checkZ4S(zne, aicpick.getpick(), self.s_params.zfac, self.p_params.tsnrz[2], self.iplot, fig, linecolor)
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if Pflag == 0:
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if Pflag == 0:
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Pmarker = 'SinsteadP'
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self.p_results.Pmarker = 'SinsteadP'
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Pweight = 9
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self.p_results.Pweight = 9
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else:
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self.p_results.Pmarker = 'shortsignallength'
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self.p_results.Pweight = 9
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# go on with processing if AIC onset passes quality control
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# go on with processing if AIC onset passes quality control
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slope = aicpick.getSlope()
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slope = aicpick.getSlope()
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if not slope: slope = 0
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if not slope: slope = 0
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@ -598,6 +625,8 @@ class AutopickStation(object):
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cf2 = ARZcf(z_copy, cuttimes2, self.p_params.tpred1z, self.p_params.Parorder, self.p_params.tdet1z, self.p_params.addnoise)
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cf2 = ARZcf(z_copy, cuttimes2, self.p_params.tpred1z, self.p_params.Parorder, self.p_params.tdet1z, self.p_params.addnoise)
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else:
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else:
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cf2 = None
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cf2 = None
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# save cf2 for plotting
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self.cf2 = cf2
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# get refined onset time from CF2
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# get refined onset time from CF2
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assert isinstance(cf2, CharacteristicFunction), 'cf2 is not set ' \
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assert isinstance(cf2, CharacteristicFunction), 'cf2 is not set ' \
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'correctly: maybe the algorithm name ({algoP}) is ' \
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'correctly: maybe the algorithm name ({algoP}) is ' \
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@ -605,42 +634,30 @@ class AutopickStation(object):
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fig, linecolor = get_fig_from_figdict(self.fig_dict, 'refPpick')
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fig, linecolor = get_fig_from_figdict(self.fig_dict, 'refPpick')
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refPpick = PragPicker(cf2, self.p_params.tsnrz, self.p_params.pickwinP, self.iplot, self.p_params.ausP,
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refPpick = PragPicker(cf2, self.p_params.tsnrz, self.p_params.pickwinP, self.iplot, self.p_params.ausP,
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self.p_params.tsmoothP, aicpick.getpick(), fig, linecolor)
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self.p_params.tsmoothP, aicpick.getpick(), fig, linecolor)
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mpickP = refPpick.getpick()
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self.p_results.mpickP = refPpick.getpick()
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if mpickP is not None:
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if self.p_results.mpickP is not None:
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# quality assessment, get earliest/latest pick and symmetrized uncertainty
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# quality assessment, get earliest/latest pick and symmetrized uncertainty
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fig, linecolor = get_fig_from_figdict(self.fig_dict, 'el_Ppick')
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fig, linecolor = get_fig_from_figdict(self.fig_dict, 'el_Ppick')
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epickP, lpickP, Perror = earllatepicker(z_copy, self.p_params.nfacP, self.p_params.tsnrz, mpickP,
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self.p_results.epickP, self.p_results.lpickP, self.p_results.Perror = earllatepicker(z_copy, self.p_params.nfacP, self.p_params.tsnrz, self.p_results.mpickP,
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self.iplot, fig=fig, linecolor=linecolor)
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self.iplot, fig=fig, linecolor=linecolor)
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SNRP, SNRPdB, Pnoiselevel = getSNR(z_copy, self.p_params.tsnrz, mpickP)
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self.p_results.SNRP, self.p_results.SNRPdB, self.p_results.Pnoiselevel = getSNR(z_copy, self.p_params.tsnrz, self.p_results.mpickP)
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# weight P-onset using symmetric error
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# weight P-onset using symmetric error
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#todo shorter expression for this
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self.p_results.Pweight = get_quality_class(self.p_results.Perror, self.p_params.timeerrorsP)
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if self.p_results.Pweight <= self.first_motion_params.minfmweight and self.p_results.SNRP >= self.first_motion_params.minFMSNR:
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if Perror is None:
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Pweight = 4
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else:
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if Perror <= self.p_params.timeerrorsP[0]:
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Pweight = 0
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elif self.p_params.timeerrorsP[0] < Perror <= self.p_params.timeerrorsP[1]:
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Pweight = 1
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elif self.p_params.timeerrorsP[1] < Perror <= self.p_params.timeerrorsP[2]:
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Pweight = 2
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elif self.p_params.timeerrorsP[2] < Perror <= self.p_params.timeerrorsP[3]:
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Pweight = 3
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elif Perror > self.p_params.timeerrorsP[3]:
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Pweight = 4
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if Pweight <= self.first_motion_params.minfmweight and SNRP >= self.first_motion_params.minFMSSNR:
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fig, linecolor = get_fig_from_figdict(self.fig_dict, 'fm_picker')
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fig, linecolor = get_fig_from_figdict(self.fig_dict, 'fm_picker')
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FM = fmpicker(self.zstream, z_copy, self.first_motion_params.fmpickwin, mpickP, self.iplot,
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self.p_results.FM = fmpicker(self.zstream, z_copy, self.first_motion_params.fmpickwin, self.p_results.mpickP, self.iplot,
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fig, linecolor)
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fig, linecolor)
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else:
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else:
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FM = 'N'
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self.p_results.FM = 'N'
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msg = "autopickstation: P-weight: {0}, " \
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msg = "autopickstation: P-weight: {0}, " \
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"SNR: {1}, SNR[dB]: {2}, Polarity: {3}".format(Pweight, SNRP, SNRPdB, FM)
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"SNR: {1}, SNR[dB]: {2}, Polarity: {3}".format(self.p_results.Pweight, self.p_results.SNRP, self.p_results.SNRPdB, self.p_results.FM)
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print(msg)
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print(msg)
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msg = 'autopickstation: Refined P-Pick: {} s | P-Error: {} s'.format(mpickP, Perror)
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msg = 'autopickstation: Refined P-Pick: {} s | P-Error: {} s'.format(self.p_results.mpickP, self.p_results.Perror)
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print(msg)
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print(msg)
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Sflag = 1
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Sflag = 1
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self.p_results.aicpick = aicpick
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else:
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else:
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msg = 'Bad initial (AIC) P-pick, skipping this onset!\n' \
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msg = 'Bad initial (AIC) P-pick, skipping this onset!\n' \
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'AIC-SNR={0}, AIC-Slope={1}counts/s\n' \
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'AIC-SNR={0}, AIC-Slope={1}counts/s\n' \
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@ -649,6 +666,10 @@ class AutopickStation(object):
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self.p_params.minAICPSNR, self.p_params.minAICPslope)
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self.p_params.minAICPSNR, self.p_params.minAICPslope)
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self.vprint(msg)
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self.vprint(msg)
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Sflag = 0
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Sflag = 0
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else:
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#todo add why did picking fail, which should be saved in the pick dictionary
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raise PickingFailedException("Why did it fail")
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def pick_s_phase(self):
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def pick_s_phase(self):
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def check_existence_ne_traces():
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def check_existence_ne_traces():
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@ -852,7 +873,7 @@ class AutopickStation(object):
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def get_fig_from_figdict(figdict, figkey):
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def get_fig_from_figdict(figdict, figkey):
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"""
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"""
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Helper method to extract a figure by name from dictionary
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:param figdict:
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:param figdict:
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:type figdict: dict
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:type figdict: dict
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:param figkey:
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:param figkey:
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@ -860,15 +881,20 @@ def get_fig_from_figdict(figdict, figkey):
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:return:
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:return:
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:rtype:
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:rtype:
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"""
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"""
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if figdict is None:
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return None, None
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fig = figdict.get(figkey, None)
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fig = figdict.get(figkey, None)
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linecolor = figdict.get('plot_style', 'k')
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linecolor = figdict.get('plot_style', 'k')
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linecolor = linecolor['linecolor']['rgba_mpl']
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linecolor = linecolor['linecolor']['rgba_mpl']
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return fig, linecolor
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return fig, linecolor
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def autopickstation(wfstream, pickparam, verbose=False, iplot=0, fig_dict=None, metadata=None, origin=None):
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station = AutopickStation(wfstream, pickparam, verbose, iplot, fig_dict, metadata, origin)
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return station.autopickstation()
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def autopickstation(wfstream, pickparam, verbose=False,
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def nautopickstation(wfstream, pickparam, verbose=False,
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iplot=0, fig_dict=None, metadata=None, origin=None):
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iplot=0, fig_dict=None, metadata=None, origin=None):
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"""
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"""
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picks a single station
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picks a single station
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