コード例 #1
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    def test_load_config_wout_routine(self):
        anxcor = Anxcor(window_length=120.0)
        anxcor.add_process(
            XArrayTemporalNorm(time_window=15, rolling_metric='max'))
        anxcor.save_config(save_dir + os.sep + 'config.ini')

        anxcor2 = Anxcor(window_length=120.0)
        anxcor2.load_config(save_dir + os.sep + 'config.ini')
        assert True
コード例 #2
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 def test_write_whitening(self):
     anxcor = Anxcor()
     anxcor.set_window_length(120.0)
     times = anxcor.get_starttimes(starttime_stamp,endtime_stamp, 0.5)
     bank = WavebankWrapper(source_dir)
     anxcor.add_dataset(bank, 'nodals')
     anxcor.add_process(XArrayWhiten())
     anxcor.save_at_process(target_dir,'whiten:0')
     result = anxcor.process(times)
     how_many_nc = _how_many_fmt(target_dir, format='.nc')
     _clean_files_in_dir(target_dir)
     assert 20 == how_many_nc
コード例 #3
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 def test_write_tempnorm(self):
     anxcor = Anxcor()
     anxcor.set_window_length(120.0)
     times = anxcor.get_starttimes(starttime_stamp,endtime_stamp, 0.5)
     bank = WavebankWrapper(source_dir)
     anxcor.add_dataset(bank, 'nodals')
     anxcor.add_process(XArrayTemporalNorm(time_window=5.0, freqmin=0.02))
     anxcor.save_at_process(target_dir,'temp_norm:0')
     result = anxcor.process(times)
     how_many_nc = _how_many_fmt(target_dir, format='.nc')
     _clean_files_in_dir(target_dir)
     assert 20 == how_many_nc
コード例 #4
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 def test_expected_pair_amount(self):
     anxcor_main = Anxcor(60 * 10.0)
     anxcor_main.add_dataset(IRISWrapper(), 'IMUSH_ST_HELLENS_DATA')
     correlate_kwargs = dict(taper=0.1, max_tau_shift=50.0)
     anxcor_main.set_task_kwargs('crosscorrelate', correlate_kwargs)
     anxcor_main.add_process(XArrayRemoveMeanTrend())
     anxcor_main.add_process(XArrayOneBit())
     starttime = UTCDateTime("2005-6-22 12:00:00").timestamp
     starttimes = []
     for window_number in range(0, 4):
         starttimes.append(starttime + 60 * 10.0 * window_number)
     xarray_dataset = anxcor_main.process(starttimes)
     assert len(list(xarray_dataset.coords['rec'].values)) == 2
コード例 #5
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    def test_load_config_with_routine(self):
        time_mean_target = 15
        anxcor = Anxcor()
        anxcor.set_window_length(120.0)
        anxcor.add_process(
            XArrayTemporalNorm(window=time_mean_target, rolling_metric='max'))
        anxcor.save_config(save_dir + os.sep + 'config.ini')

        anxcor2 = Anxcor()
        anxcor.set_window_length(120.0)
        anxcor2.add_process(XArrayTemporalNorm())
        anxcor2.load_config(save_dir + os.sep + 'config.ini')
        tnorm = anxcor2._get_task('process')['temp_norm:0']
        time_mean_src = tnorm._kwargs['window']
        assert time_mean_target == time_mean_src
コード例 #6
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 def test_write_tempnorm_dask(self):
     from distributed import Client, LocalCluster
     from dask.distributed import wait
     cluster = LocalCluster(n_workers=1, threads_per_worker=1)
     c = Client(cluster)
     anxcor = Anxcor()
     anxcor.set_window_length(120.0)
     times = anxcor.get_starttimes(starttime_stamp,endtime_stamp, 0.5)
     bank = WavebankWrapper(source_dir)
     anxcor.add_dataset(bank, 'nodals')
     anxcor.add_process(XArrayTemporalNorm(time_window=5.0, freqmin=0.02))
     anxcor.save_at_process(target_dir,'temp_norm:0')
     result = anxcor.process(times,dask_client=c)
     print(result)
     how_many_nc = _how_many_fmt(target_dir, format='.nc')
     _clean_files_in_dir(target_dir)
     assert 20 == how_many_nc
コード例 #7
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def build_anxcor(tau,interpolation_method='nearest'):
    broadband_data_dir               = basedir+'test_data/correlation_integration_testing/Broadband'
    broadband_station_location_file  = basedir+'test_data/correlation_integration_testing/broadband_stationlist.txt'
    nodal_data_dir               =     basedir+'test_data/correlation_integration_testing/Nodal'
    nodal_station_location_file  =     basedir+'test_data/correlation_integration_testing/nodal_stationlist.txt'

    broadband_database = DWellsDecimatedReader(broadband_data_dir, broadband_station_location_file)
    nodal_database     = DWellsDecimatedReader(nodal_data_dir,     nodal_station_location_file,extension='d')
    window_length = 10*60.0
    #include_stations = ['Nodal.{}'.format(x) for x in range(1,10)]
    include_stations = ['UU.FORU','DV.1']

    taper_ratio     = 0.05
    target_rate     = 50.0
    correlate_kwargs= dict(max_tau_shift=tau,taper=taper_ratio)
    resample_kwargs = dict(target_rate=target_rate,lowpass=False)

    anxcor_main = Anxcor(interp_method=interpolation_method)
    anxcor_main.set_window_length(window_length)
    anxcor_main.set_must_only_include_station_pairs(include_stations)
    anxcor_main.add_dataset(broadband_database,'BB')
    anxcor_main.add_dataset(nodal_database, 'Nodal')
    anxcor_main.add_process(XArrayTaper(taper=taper_ratio))
    anxcor_main.add_process(XArrayRemoveMeanTrend())
    anxcor_main.add_process(XArrayTaper(taper=taper_ratio))
    anxcor_main.set_task_kwargs('crosscorrelate',correlate_kwargs)
   # anxcor_main.set_task('post-correlate',XArrayCustomComponentNormalizer())
    return anxcor_main