directly read spin1 and spin2 from sgnl_inspiral_table

gstlal-inspiral/bin/gstlal_inspiral_bank_splitter

@@ -276,9 +276,9 @@ for outputrows in banks_subbins:
 			row.template_duration = chirptime.imr_time(options.f_low,
 				lal.MSUN_SI * row.mass1,
 				lal.MSUN_SI * row.mass2,
-				numpy.dot(row.spin1x**2 + row.spin1y**2 + row.spin1z**2, row.spin1x**2 + row.spin1y**2 + row.spin1z**2)**.5,
-				numpy.dot(row.spin2x**2 + row.spin2y**2 + row.spin2z**2, row.spin2x**2 + row.spin2y**2 + row.spin2z**2)**.5,
-				f_max = min(row.f_final, 2 * chirptime.ringf(lal.MSUN_SI * row.mass1 + lal.MSUN_SI * row.mass2, chirptime.overestimate_j_from_chi(max(numpy.dot(row.spin1x**2 + row.spin1y**2 + row.spin1z**2, row.spin1x**2 + row.spin1y**2 + row.spin1z**2)**.5, numpy.dot(row.spin2x**2 + row.spin2y**2 + row.spin2z**2, row.spin2x**2 + row.spin2y**2 + row.spin2z**2)**.5))) if approximant in templates.gstlal_IMR_approximants else spawaveform.ffinal(row.mass1, row.mass2, 'bkl_isco')))
+				numpy.dot(row.spin1, row.spin1)**.5,
+				numpy.dot(row.spin2, row.spin2)**.5,
+				f_max = min(row.f_final, 2 * chirptime.ringf(lal.MSUN_SI * row.mass1 + lal.MSUN_SI * row.mass2, chirptime.overestimate_j_from_chi(max(numpy.dot(row.spin1, row.spin1)**.5, numpy.dot(row.spin2, row.spin2)**.5))) if approximant in templates.gstlal_IMR_approximants else spawaveform.ffinal(row.mass1, row.mass2, 'bkl_isco')))
 			# template_duration may be overwritten by svd_bank if the flow is increased in order to satisfy the target maximum duration
 		outputrows[ind] = (approximant, rows)
 	num_banks += len(outputrows)