def _stretch_wrapper(groupnames, fname, outkey, filter=None,
**kwargs):
"""
Wrapper around `~yam.stretch.stretch()`
:param groupname: group to load the correlations from
:param fname: file to load correlations from
:param fname_stretch: file for writing results
:param outkey: key to write stretch results to
:param filter: filter correlations before stretching
(bandpass, tuple with min and max frequency)
:param \*\*kwargs: all other kwargs are passed to
`~yam.stretch.stretch()` function
"""
with h5py.File(fname, 'r') as f:
traces = [obspyh5.dataset2trace(f[g]) for g in groupnames]
stream = obspy.Stream(traces)
for tr in stream:
tr.data = np.require(tr.data, float)
if filter:
_filter(stream, filter)
stretchres = yam.stretch.stretch(stream, **kwargs)
if stretchres is not None:
stretchres['attrs']['key'] = outkey
return stretchres
def _prep1(target_sr, tolerance_shift, interpolate_options,
remove_response, inventory, remove_response_options, filter,
tr):
"""Helper function for parallel preprocessing"""
tr.data = tr.data.astype('float64')
_downsample_and_shift(tr, target_sr=target_sr,
tolerance_shift=tolerance_shift,
interpolate_options=interpolate_options)
if remove_response:
tr.remove_response(inventory, **remove_response_options)
if filter is not None:
_filter(tr, filter)
return tr