2015-06-19 09:08:28 +02:00
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#!/usr/bin/python
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2015-04-22 12:46:24 +02:00
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# -*- coding: utf-8 -*-
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2016-03-30 08:14:58 +02:00
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from __future__ import print_function
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2016-05-01 21:10:30 +02:00
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2015-04-22 12:46:24 +02:00
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import argparse
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2015-05-20 09:38:25 +02:00
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import glob
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2016-08-25 13:31:51 +02:00
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import os
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2017-04-06 13:16:28 +02:00
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import datetime
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2016-09-28 11:03:53 +02:00
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from obspy import read_events
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2017-04-06 13:16:28 +02:00
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import pylot.core.loc.hyposat as hyposat
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import pylot.core.loc.hypo71 as hypo71
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import pylot.core.loc.velest as velest
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import pylot.core.loc.hypodd as hypodd
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import pylot.core.loc.focmec as focmec
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import pylot.core.loc.hash as hash
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2016-09-28 11:03:53 +02:00
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import pylot.core.loc.nll as nll
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2017-04-06 13:16:28 +02:00
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#from PySide.QtGui import QWidget, QInputDialog
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2016-09-28 11:03:53 +02:00
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from pylot.core.analysis.magnitude import MomentMagnitude, RichterMagnitude
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2016-05-01 21:10:30 +02:00
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from pylot.core.io.data import Data
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from pylot.core.io.inputs import AutoPickParameter
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from pylot.core.pick.autopick import autopickevent, iteratepicker
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2016-09-28 14:56:01 +02:00
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from pylot.core.util.dataprocessing import restitute_data, read_metadata, \
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remove_underscores
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2016-05-01 21:10:30 +02:00
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from pylot.core.util.structure import DATASTRUCTURE
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2015-10-19 05:32:10 +02:00
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from pylot.core.util.version import get_git_version as _getVersionString
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2015-07-02 09:27:11 +02:00
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2015-04-22 12:46:24 +02:00
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__version__ = _getVersionString()
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2017-05-19 12:30:03 +02:00
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def autoPyLoT(input_dict=None, parameter=None, inputfile=None, fnames=None, eventid=None, savepath=None, station='all', iplot=0):
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2015-10-28 09:13:13 +01:00
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"""
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2015-04-29 06:29:08 +02:00
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Determine phase onsets automatically utilizing the automatic picking
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2015-06-19 09:08:28 +02:00
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algorithms by Kueperkoch et al. 2010/2012.
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2015-04-29 06:29:08 +02:00
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:param inputfile: path to the input file containing all parameter
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information for automatic picking (for formatting details, see.
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2016-05-01 21:10:30 +02:00
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`~pylot.core.io.inputs.AutoPickParameter`
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2015-04-29 06:29:08 +02:00
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:type inputfile: str
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:return:
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.. rubric:: Example
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2015-10-28 09:13:13 +01:00
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"""
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2015-11-04 13:11:48 +01:00
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splash = '''************************************\n
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*********autoPyLoT starting*********\n
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The Python picking and Location Tool\n
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Version {version} 2015\n
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\n
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Authors:\n
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2017-04-06 13:16:28 +02:00
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S. Wehling-Benatelli (Ruhr-Universitaet Bochum)\n
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L. Kueperkoch (BESTEC GmbH, Landau i. d. Pfalz)\n
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K. Olbert (Christian-Albrechts Universitaet zu Kiel)\n
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2015-11-04 13:11:48 +01:00
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***********************************'''.format(version=_getVersionString())
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print(splash)
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2015-05-20 09:38:25 +02:00
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2017-05-15 17:21:22 +02:00
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locflag = 1
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2017-05-18 11:58:12 +02:00
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if input_dict and isinstance(input_dict, dict):
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if input_dict.has_key('parameter'):
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parameter = input_dict['parameter']
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if input_dict.has_key('fig_dict'):
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fig_dict = input_dict['fig_dict']
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if input_dict.has_key('station'):
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station = input_dict['station']
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2017-05-12 11:03:41 +02:00
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if input_dict.has_key('fnames'):
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fnames = input_dict['fnames']
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if input_dict.has_key('iplot'):
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iplot = input_dict['iplot']
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2017-05-15 17:21:22 +02:00
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if input_dict.has_key('locflag'):
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locflag = input_dict['locflag']
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2017-05-10 15:46:08 +02:00
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if not parameter:
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if inputfile:
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parameter = AutoPickParameter(inputfile)
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2017-05-18 13:16:53 +02:00
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iplot = parameter['iplot']
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2017-05-10 15:46:08 +02:00
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else:
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print('No parameters set and no input file given. Choose either of both.')
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return
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else:
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if not type(parameter) == AutoPickParameter:
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print('Wrong input type for parameter: {}'.format(type(parameter)))
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return
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if inputfile:
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print('Parameters set and input file given. Choose either of both.')
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return
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2015-04-22 12:46:24 +02:00
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data = Data()
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2016-09-28 11:03:53 +02:00
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evt = None
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2015-05-20 09:38:25 +02:00
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2017-05-18 11:58:12 +02:00
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# reading parameter file
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2015-04-29 06:29:08 +02:00
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if parameter.hasParam('datastructure'):
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# getting information on data structure
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datastructure = DATASTRUCTURE[parameter.get('datastructure')]()
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dsfields = {'root': parameter.get('rootpath'),
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'dpath': parameter.get('datapath'),
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'dbase': parameter.get('database')}
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2015-04-29 07:57:52 +02:00
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2015-05-20 09:59:06 +02:00
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exf = ['root', 'dpath', 'dbase']
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2017-04-06 13:16:28 +02:00
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if parameter.hasParam('eventID') and fnames == 'None':
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2016-05-03 08:46:13 +02:00
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dsfields['eventID'] = parameter.get('eventID')
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2015-05-20 09:59:06 +02:00
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exf.append('eventID')
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2015-04-22 12:46:24 +02:00
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2015-06-01 16:28:27 +02:00
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datastructure.modifyFields(**dsfields)
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2015-05-20 09:59:06 +02:00
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datastructure.setExpandFields(exf)
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2015-04-22 12:46:24 +02:00
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2015-10-28 09:13:13 +01:00
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# check if default location routine NLLoc is available
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2017-05-15 17:21:22 +02:00
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if parameter['nllocbin'] and locflag:
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2015-10-28 09:13:13 +01:00
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# get NLLoc-root path
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2016-05-03 08:46:13 +02:00
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nllocroot = parameter.get('nllocroot')
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2015-10-28 09:13:13 +01:00
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# get path to NLLoc executable
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2016-05-03 08:46:13 +02:00
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nllocbin = parameter.get('nllocbin')
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2015-10-28 09:13:13 +01:00
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nlloccall = '%s/NLLoc' % nllocbin
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2015-11-04 13:11:48 +01:00
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# get name of phase file
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2016-05-03 08:46:13 +02:00
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phasef = parameter.get('phasefile')
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2015-10-28 09:13:13 +01:00
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phasefile = '%s/obs/%s' % (nllocroot, phasef)
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# get name of NLLoc-control file
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2016-05-03 08:46:13 +02:00
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ctrf = parameter.get('ctrfile')
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2015-11-18 10:27:42 +01:00
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ctrfile = '%s/run/%s' % (nllocroot, ctrf)
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# pattern of NLLoc ttimes from location grid
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2016-05-03 08:46:13 +02:00
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ttpat = parameter.get('ttpatter')
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2015-11-18 10:27:42 +01:00
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# pattern of NLLoc-output file
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nllocoutpatter = parameter.get('outpatter')
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2016-03-30 08:14:58 +02:00
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maxnumit = 3 # maximum number of iterations for re-picking
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2015-10-28 09:13:13 +01:00
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else:
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locflag = 0
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2015-12-01 15:39:28 +01:00
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print(" !!! ")
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print("!!No location routine available, autoPyLoT is running in non-location mode!!")
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print("!!No source parameter estimation possible!!")
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print(" !!! ")
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2015-10-27 10:00:16 +01:00
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2015-05-20 09:38:25 +02:00
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datapath = datastructure.expandDataPath()
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2017-04-06 13:16:28 +02:00
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if fnames == 'None' and not parameter.hasParam('eventID'):
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2016-09-28 11:03:53 +02:00
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# multiple event processing
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# read each event in database
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events = [events for events in glob.glob(os.path.join(datapath, '*')) if os.path.isdir(events)]
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2017-04-06 13:16:28 +02:00
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elif fnames == 'None' and parameter.hasParam('eventID'):
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2016-09-28 11:03:53 +02:00
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# single event processing
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events = glob.glob(os.path.join(datapath, parameter.get('eventID')))
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2017-04-06 13:16:28 +02:00
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else:
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# autoPyLoT was initialized from GUI
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2017-05-19 14:25:24 +02:00
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events = []
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events.append(eventid)
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evID = os.path.split(eventid)[-1]
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2017-05-19 12:30:03 +02:00
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locflag = 2
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2017-04-06 13:16:28 +02:00
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2016-09-28 11:03:53 +02:00
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for event in events:
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2017-04-06 13:16:28 +02:00
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if fnames == 'None':
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data.setWFData(glob.glob(os.path.join(datapath, event, '*')))
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evID = os.path.split(event)[-1]
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# the following is necessary because within
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# multiple event processing no event ID is provided
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# in autopylot.in
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try:
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parameter.get('eventID')
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except:
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now = datetime.datetime.now()
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eventID = '%d%02d%02d%02d%02d' % (now.year,
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now.month,
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now.day,
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now.hour,
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now.minute)
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parameter.setParam(eventID=eventID)
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else:
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data.setWFData(fnames)
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2017-05-19 14:25:24 +02:00
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2017-05-19 13:22:04 +02:00
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event = events[0]
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#now = datetime.datetime.now()
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2017-05-19 12:30:03 +02:00
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#evID = '%d%02d%02d%02d%02d' % (now.year,
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# now.month,
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# now.day,
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# now.hour,
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# now.minute)
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parameter.setParam(eventID=eventid)
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2015-10-28 09:13:13 +01:00
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wfdat = data.getWFData() # all available streams
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2017-05-15 17:21:22 +02:00
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if not station == 'all':
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wfdat = wfdat.select(station=station)
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if not wfdat:
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print('Could not find station {}. STOP!'.format(station))
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return
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2016-09-28 14:56:01 +02:00
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wfdat = remove_underscores(wfdat)
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2016-09-28 11:03:53 +02:00
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metadata = read_metadata(parameter.get('invdir'))
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2017-05-19 13:22:04 +02:00
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print("Restitute data ...")
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2017-04-06 15:37:54 +02:00
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corr_dat = restitute_data(wfdat.copy(), *metadata)
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2017-04-06 13:16:28 +02:00
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2017-05-15 17:21:22 +02:00
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print('Working on event %s. Stations: %s' % (event, station))
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print(wfdat)
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2015-06-01 16:28:27 +02:00
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##########################################################
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2015-07-10 09:22:58 +02:00
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# !automated picking starts here!
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2017-05-18 10:09:51 +02:00
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if input_dict:
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if input_dict.has_key('fig_dict'):
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fig_dict = input_dict['fig_dict']
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picks = autopickevent(wfdat, parameter, iplot=iplot, fig_dict=fig_dict)
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else:
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picks = autopickevent(wfdat, parameter, iplot=iplot)
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2015-10-27 15:26:25 +01:00
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##########################################################
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2015-10-28 09:13:13 +01:00
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# locating
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2017-05-19 12:30:03 +02:00
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if locflag > 0:
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2015-10-28 09:13:13 +01:00
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# write phases to NLLoc-phase file
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2017-04-06 13:16:28 +02:00
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nll.export(picks, phasefile, parameter)
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2015-10-28 09:13:13 +01:00
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2015-11-04 16:52:39 +01:00
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# For locating the event the NLLoc-control file has to be modified!
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2016-09-28 11:03:53 +02:00
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nllocout = '%s_%s' % (evID, nllocoutpatter)
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2015-11-18 10:27:42 +01:00
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# create comment line for NLLoc-control file
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2016-09-28 11:03:53 +02:00
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nll.modify_inputs(ctrf, nllocroot, nllocout, phasef,
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ttpat)
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2015-10-28 09:13:13 +01:00
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# locate the event
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2017-04-06 13:16:28 +02:00
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nll.locate(ctrfile, inputfile)
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2016-09-28 11:03:53 +02:00
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2015-11-18 10:27:42 +01:00
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# !iterative picking if traces remained unpicked or occupied with bad picks!
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2015-11-12 17:21:04 +01:00
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# get theoretical onset times for picks with weights >= 4
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2015-11-20 15:49:34 +01:00
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# in order to reprocess them using smaller time windows around theoretical onset
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# get stations with bad onsets
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badpicks = []
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for key in picks:
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2016-03-30 08:14:58 +02:00
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if picks[key]['P']['weight'] >= 4 or picks[key]['S']['weight'] >= 4:
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badpicks.append([key, picks[key]['P']['mpp']])
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2015-11-20 15:49:34 +01:00
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2016-09-28 11:03:53 +02:00
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# TODO keep code DRY (Don't Repeat Yourself) the following part is written twice
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# suggestion: delete block and modify the later similar block to work properly
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2015-11-20 15:49:34 +01:00
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if len(badpicks) == 0:
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2016-03-30 08:14:58 +02:00
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print("autoPyLoT: No bad onsets found, thus no iterative picking necessary!")
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2015-12-01 15:39:28 +01:00
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# get NLLoc-location file
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locsearch = '%s/loc/%s.????????.??????.grid?.loc.hyp' % (nllocroot, nllocout)
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if len(glob.glob(locsearch)) > 0:
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2016-09-28 11:03:53 +02:00
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# get latest NLLoc-location file if several are available
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2016-03-30 08:14:58 +02:00
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nllocfile = max(glob.glob(locsearch), key=os.path.getctime)
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2016-09-28 14:56:01 +02:00
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evt = read_events(nllocfile)[0]
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2015-12-01 15:39:28 +01:00
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# calculating seismic moment Mo and moment magnitude Mw
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2016-09-28 11:03:53 +02:00
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moment_mag = MomentMagnitude(corr_dat, evt, parameter.get('vp'),
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2016-09-28 14:56:01 +02:00
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parameter.get('Qp'),
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2017-04-06 13:16:28 +02:00
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parameter.get('rho'), True, \
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2017-05-08 15:38:41 +02:00
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iplot)
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2016-09-29 11:55:08 +02:00
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# update pick with moment property values (w0, fc, Mo)
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for station, props in moment_mag.moment_props.items():
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picks[station]['P'].update(props)
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evt = moment_mag.updated_event()
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2016-09-28 14:56:01 +02:00
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local_mag = RichterMagnitude(corr_dat, evt,
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2017-04-06 13:16:28 +02:00
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parameter.get('sstop'), True,\
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2017-05-08 15:38:41 +02:00
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iplot)
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2016-09-28 14:56:01 +02:00
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for station, amplitude in local_mag.amplitudes.items():
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2016-09-29 11:55:08 +02:00
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picks[station]['S']['Ao'] = amplitude.generic_amplitude
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evt = local_mag.updated_event()
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2015-12-01 15:39:28 +01:00
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else:
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print("autoPyLoT: No NLLoc-location file available!")
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print("No source parameter estimation possible!")
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2015-11-20 15:49:34 +01:00
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else:
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# get theoretical P-onset times from NLLoc-location file
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locsearch = '%s/loc/%s.????????.??????.grid?.loc.hyp' % (nllocroot, nllocout)
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2015-11-23 16:38:52 +01:00
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if len(glob.glob(locsearch)) > 0:
|
|
|
|
# get latest file if several are available
|
2016-03-30 08:14:58 +02:00
|
|
|
nllocfile = max(glob.glob(locsearch), key=os.path.getctime)
|
2015-11-23 16:38:52 +01:00
|
|
|
nlloccounter = 0
|
2016-03-30 08:14:58 +02:00
|
|
|
while len(badpicks) > 0 and nlloccounter <= maxnumit:
|
2015-11-23 16:38:52 +01:00
|
|
|
nlloccounter += 1
|
|
|
|
if nlloccounter > maxnumit:
|
|
|
|
print("autoPyLoT: Number of maximum iterations reached, stop iterative picking!")
|
|
|
|
break
|
|
|
|
print("autoPyLoT: Starting with iteration No. %d ..." % nlloccounter)
|
2017-05-18 10:09:51 +02:00
|
|
|
if input_dict:
|
|
|
|
if input_dict.has_key('fig_dict'):
|
|
|
|
fig_dict = input_dict['fig_dict']
|
|
|
|
picks = iteratepicker(wfdat, nllocfile, picks, badpicks, parameter, fig_dict=fig_dict)
|
|
|
|
else:
|
|
|
|
picks = iteratepicker(wfdat, nllocfile, picks, badpicks, parameter)
|
2015-11-23 16:38:52 +01:00
|
|
|
# write phases to NLLoc-phase file
|
2017-04-06 13:16:28 +02:00
|
|
|
nll.export(picks, phasefile, parameter)
|
2015-12-03 14:55:07 +01:00
|
|
|
# remove actual NLLoc-location file to keep only the last
|
|
|
|
os.remove(nllocfile)
|
2015-11-23 16:38:52 +01:00
|
|
|
# locate the event
|
2017-04-06 13:16:28 +02:00
|
|
|
nll.locate(ctrfile, inputfile)
|
2015-11-23 16:38:52 +01:00
|
|
|
print("autoPyLoT: Iteration No. %d finished." % nlloccounter)
|
2015-12-01 15:39:28 +01:00
|
|
|
# get updated NLLoc-location file
|
2016-03-30 08:14:58 +02:00
|
|
|
nllocfile = max(glob.glob(locsearch), key=os.path.getctime)
|
2015-12-01 15:39:28 +01:00
|
|
|
# check for bad picks
|
2015-11-23 16:38:52 +01:00
|
|
|
badpicks = []
|
|
|
|
for key in picks:
|
2016-03-30 08:14:58 +02:00
|
|
|
if picks[key]['P']['weight'] >= 4 or picks[key]['S']['weight'] >= 4:
|
|
|
|
badpicks.append([key, picks[key]['P']['mpp']])
|
2015-11-23 16:38:52 +01:00
|
|
|
print("autoPyLoT: After iteration No. %d: %d bad onsets found ..." % (nlloccounter, \
|
2016-03-30 08:14:58 +02:00
|
|
|
len(badpicks)))
|
2015-11-23 16:38:52 +01:00
|
|
|
if len(badpicks) == 0:
|
|
|
|
print("autoPyLoT: No more bad onsets found, stop iterative picking!")
|
2015-12-01 15:39:28 +01:00
|
|
|
nlloccounter = maxnumit
|
2016-09-28 14:56:01 +02:00
|
|
|
evt = read_events(nllocfile)[0]
|
2017-05-19 12:30:03 +02:00
|
|
|
if locflag < 2:
|
|
|
|
# calculating seismic moment Mo and moment magnitude Mw
|
|
|
|
moment_mag = MomentMagnitude(corr_dat, evt, parameter.get('vp'),
|
|
|
|
parameter.get('Qp'),
|
|
|
|
parameter.get('rho'), True, \
|
|
|
|
iplot)
|
|
|
|
# update pick with moment property values (w0, fc, Mo)
|
|
|
|
for station, props in moment_mag.moment_props.items():
|
|
|
|
picks[station]['P'].update(props)
|
|
|
|
evt = moment_mag.updated_event()
|
|
|
|
local_mag = RichterMagnitude(corr_dat, evt,
|
|
|
|
parameter.get('sstop'), True, \
|
|
|
|
iplot)
|
|
|
|
for station, amplitude in local_mag.amplitudes.items():
|
|
|
|
picks[station]['S']['Ao'] = amplitude.generic_amplitude
|
|
|
|
evt = local_mag.updated_event()
|
|
|
|
net_mw = moment_mag.net_magnitude()
|
|
|
|
print("Network moment magnitude: %4.1f" % net_mw.mag)
|
2015-11-20 15:49:34 +01:00
|
|
|
else:
|
|
|
|
print("autoPyLoT: No NLLoc-location file available! Stop iteration!")
|
2017-04-06 13:16:28 +02:00
|
|
|
locflag = 9
|
2015-10-27 15:26:25 +01:00
|
|
|
##########################################################
|
2017-04-06 13:16:28 +02:00
|
|
|
# write phase files for various location
|
|
|
|
# and fault mechanism calculation routines
|
|
|
|
# ObsPy event object
|
2016-09-28 11:03:53 +02:00
|
|
|
data.applyEVTData(picks)
|
|
|
|
if evt is not None:
|
|
|
|
data.applyEVTData(evt, 'event')
|
|
|
|
fnqml = '%s/autoPyLoT' % event
|
2016-04-11 13:59:32 +02:00
|
|
|
data.exportEvent(fnqml)
|
2017-04-06 13:16:28 +02:00
|
|
|
# HYPO71
|
|
|
|
hypo71file = '%s/autoPyLoT_HYPO71_phases' % event
|
|
|
|
hypo71.export(picks, hypo71file, parameter)
|
|
|
|
# HYPOSAT
|
|
|
|
hyposatfile = '%s/autoPyLoT_HYPOSAT_phases' % event
|
|
|
|
hyposat.export(picks, hyposatfile, parameter)
|
|
|
|
if locflag == 1:
|
|
|
|
# VELEST
|
|
|
|
velestfile = '%s/autoPyLoT_VELEST_phases.cnv' % event
|
|
|
|
velest.export(picks, velestfile, parameter, evt)
|
|
|
|
# hypoDD
|
|
|
|
hypoddfile = '%s/autoPyLoT_hypoDD_phases.pha' % event
|
|
|
|
hypodd.export(picks, hypoddfile, parameter, evt)
|
|
|
|
# FOCMEC
|
|
|
|
focmecfile = '%s/autoPyLoT_FOCMEC.in' % event
|
|
|
|
focmec.export(picks, focmecfile, parameter, evt)
|
|
|
|
# HASH
|
|
|
|
hashfile = '%s/autoPyLoT_HASH' % event
|
|
|
|
hash.export(picks, hashfile, parameter, evt)
|
2016-03-30 08:14:58 +02:00
|
|
|
|
2015-11-12 17:21:04 +01:00
|
|
|
endsplash = '''------------------------------------------\n'
|
2016-03-30 08:14:58 +02:00
|
|
|
-----Finished event %s!-----\n'
|
2015-11-12 17:21:04 +01:00
|
|
|
------------------------------------------'''.format \
|
2016-09-28 11:03:53 +02:00
|
|
|
(version=_getVersionString()) % evID
|
2015-11-12 17:21:04 +01:00
|
|
|
print(endsplash)
|
|
|
|
if locflag == 0:
|
|
|
|
print("autoPyLoT was running in non-location mode!")
|
2016-03-30 08:14:58 +02:00
|
|
|
|
2015-11-12 17:21:04 +01:00
|
|
|
endsp = '''####################################\n
|
|
|
|
************************************\n
|
|
|
|
*********autoPyLoT terminates*******\n
|
|
|
|
The Python picking and Location Tool\n
|
|
|
|
************************************'''.format(version=_getVersionString())
|
|
|
|
print(endsp)
|
2017-05-12 11:03:41 +02:00
|
|
|
return picks
|
2015-04-29 07:57:52 +02:00
|
|
|
|
2016-03-30 08:14:58 +02:00
|
|
|
|
2015-04-22 12:46:24 +02:00
|
|
|
if __name__ == "__main__":
|
|
|
|
# parse arguments
|
|
|
|
parser = argparse.ArgumentParser(
|
2015-07-10 09:22:58 +02:00
|
|
|
description='''autoPyLoT automatically picks phase onset times using higher order statistics,
|
2017-06-02 11:09:32 +02:00
|
|
|
autoregressive prediction and AIC followed by locating the seismic events using
|
|
|
|
NLLoc''')
|
2015-04-22 12:46:24 +02:00
|
|
|
|
2017-06-02 11:09:32 +02:00
|
|
|
#parser.add_argument('-d', '-D', '--input_dict', type=str,
|
|
|
|
# action='store',
|
|
|
|
# help='''optional, dictionary containing processing parameters''')
|
|
|
|
#parser.add_argument('-p', '-P', '--parameter', type=str,
|
|
|
|
# action='store',
|
|
|
|
# help='''parameter file, default=None''')
|
2015-04-22 12:46:24 +02:00
|
|
|
parser.add_argument('-i', '-I', '--inputfile', type=str,
|
|
|
|
action='store',
|
|
|
|
help='''full path to the file containing the input
|
2017-04-06 13:16:28 +02:00
|
|
|
parameters for autoPyLoT''')
|
|
|
|
parser.add_argument('-f', '-F', '--fnames', type=str,
|
|
|
|
action='store',
|
|
|
|
help='''optional, list of data file names''')
|
2017-05-19 12:30:03 +02:00
|
|
|
parser.add_argument('-e', '-E', '--eventid', type=str,
|
|
|
|
action='store',
|
2017-05-19 14:25:24 +02:00
|
|
|
help='''optional, event path incl. event ID''')
|
2017-04-06 13:16:28 +02:00
|
|
|
parser.add_argument('-s', '-S', '--spath', type=str,
|
2017-04-06 15:37:54 +02:00
|
|
|
action='store',
|
2017-04-06 13:16:28 +02:00
|
|
|
help='''optional, save path for autoPyLoT output''')
|
2017-06-02 11:09:32 +02:00
|
|
|
#parser.add_argument('-v', '-V', '--version', action='version',
|
|
|
|
# version='autoPyLoT ' + __version__,
|
|
|
|
# help='show version information and exit')
|
2015-04-22 12:46:24 +02:00
|
|
|
|
|
|
|
cla = parser.parse_args()
|
2017-06-02 11:09:32 +02:00
|
|
|
|
2017-06-20 12:10:17 +02:00
|
|
|
picks = autoPyLoT(inputfile=str(cla.inputfile), fnames=str(cla.fnames),
|
|
|
|
eventid=str(cla.eventid), savepath=str(cla.spath))
|