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