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from pycbc import transforms
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from pycbc .types import TimeSeries
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from pycbc .waveform import parameters
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- from pycbc .waveform .utils import apply_fd_time_shift , taper_timeseries , \
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- ceilpow2
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+ from pycbc .waveform .utils import apply_fseries_time_shift , taper_timeseries , \
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+ ceilpow2 , apply_fd_time_shift
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from pycbc .detector import Detector
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from pycbc .pool import use_mpi
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import lal as _lal
@@ -927,8 +927,8 @@ def generate(self, **kwargs):
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# happens at the end of the time series (as they are for f-domain),
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# so we add an additional shift to account for it
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tshift = 1. / df - abs (hp ._epoch )
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- hp = apply_fd_time_shift (hp , tshift , copy = True )
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- hc = apply_fd_time_shift (hc , tshift , copy = True )
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+ hp = apply_fseries_time_shift (hp , tshift , copy = True )
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+ hc = apply_fseries_time_shift (hc , tshift , copy = True )
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hp ._epoch = hc ._epoch = self ._epoch
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h = {}
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