def _snr_series_by_sngl_inspiral(cls, doc):
for elem in doc.getElementsByTagName(LIGO_LW.tagName):
try:
if elem.Name != lal.COMPLEX8TimeSeries.__name__:
continue
array.get_array(elem, 'snr')
event_id = param.get_pyvalue(elem, 'event_id')
if not isinstance(event_id, SnglInspiralID):
continue
except (AttributeError, ValueError):
continue
else:
yield event_id, lal.series.parse_COMPLEX8TimeSeries(elem)
def _snr_series_by_sngl_inspiral(cls, doc):
for elem in doc.getElementsByTagName(LIGO_LW.tagName):
try:
if elem.Name != lal.COMPLEX8TimeSeries.__name__:
continue
array.get_array(elem, 'snr')
event_id = param.get_pyvalue(elem, 'event_id')
if not isinstance(event_id, SnglInspiralID):
continue
except (AttributeError, ValueError):
continue
else:
yield event_id, lal.series.parse_COMPLEX8TimeSeries(elem)
def get_snr_series(xmldoc):
for elem in xmldoc.getElements(is_COMPLEX8TimeSeries):
try:
event_id = get_pyvalue(elem, 'event_id')
array = get_array(elem, 'snr')
except ValueError:
pass
else:
yield event_id, array
def binned_array_from_xml(xml, name):
"""
Search for the description of a rate.BinnedArray object named
"name" in the XML document tree rooted at xml, and construct and
return a new rate.BinnedArray object from the data contained
therein.
"""
xml = [elem for elem in xml.getElementsByTagName(ligolw.LIGO_LW.tagName) if elem.hasAttribute(u"Name") and elem.Name == u"%s:pylal_rate_binnedarray" % name]
try:
xml, = xml
except ValueError:
raise ValueError("document must contain exactly 1 BinnedArray named '%s'" % name)
# an empty binning is used for the initial object creation instead
# of using the real binning to avoid the creation of a (possibly
# large) array that would otherwise accompany this step
binnedarray = BinnedArray(NDBins())
binnedarray.bins = bins_from_xml(xml)
binnedarray.array = ligolw_array.get_array(xml, u"array").array
return binnedarray