remove variables which are attributes of classes
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@ -28,12 +28,6 @@ class AutoPicking(object):
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:param: cf, characteristic function, on which the picking algorithm is applied
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:param: cf, characteristic function, on which the picking algorithm is applied
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:type: `~pylot.core.pick.CharFuns.CharacteristicFunction` object
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:type: `~pylot.core.pick.CharFuns.CharacteristicFunction` object
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:param: Tcf, corresponding time array
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:type: array
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:param: dt, sampling interval [s]
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:type: float
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:param: Tslope, length of time window after pick used to determine slope
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:param: Tslope, length of time window after pick used to determine slope
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for quality estimation [s]
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for quality estimation [s]
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:type: float
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:type: float
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@ -58,8 +58,8 @@ def run_makeCF(project, database, event, iplot, station=None):
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##############################################################
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##############################################################
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#calculate HOS-CF using subclass HOScf of class CharacteristicFunction
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#calculate HOS-CF using subclass HOScf of class CharacteristicFunction
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hoscf = HOScf(st_copy, cuttimes, t2, p) #instance of HOScf
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hoscf = HOScf(st_copy, cuttimes, t2, p) #instance of HOScf
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#get corresponding time array
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#get corresponding time array -> unnecessary because implemented in CharacteristicFunction
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thoscf = np.arange(0, len(hoscf.getCF()) / tr_filt.stats.sampling_rate, tr_filt.stats.delta) + cuttimes[0]
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# thoscf = np.arange(0, len(hoscf.getCF()) / tr_filt.stats.sampling_rate, tr_filt.stats.delta) + cuttimes[0]
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##############################################################
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##############################################################
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#get onset time from HOS-CF using class Picker
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#get onset time from HOS-CF using class Picker
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#hospick = PragPicker(hoscf.getCF(), thoscf, 2, 70, [1, 0.5, 0.2], 2, 0.001, 0.2)
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#hospick = PragPicker(hoscf.getCF(), thoscf, 2, 70, [1, 0.5, 0.2], 2, 0.001, 0.2)
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