gstlal_inspiral_calc_snr: minor bugs fix

gstlal-inspiral/bin/gstlal_inspiral_calc_snr

@@ -136,8 +136,8 @@ def parse_command_line():
 	group.add_option("--outdir", metavar = "directory", type = "str", help = "Output directory for SNR(s) (require).")
 	group.add_option("--mode", metavar = "method", type = "int", default = 0, help = "The method (0 = LLOID / 1 = FIR) that is used to calculate SNR (default = 0).")
 	group.add_option("--complex", action = "store_true", help = "Choose whether to output the complex snr or not.")
-	group.add_option("--start", metavar = "seconds", type = "int", help = "Start SNR time series at GPS time '--start' (require).")
-	group.add_option("--end", metavar = "seconds", type = "int", help = "End SNR time series at GPS time '--end' (require).")
+	group.add_option("--start", metavar = "seconds", type = "float", help = "Start SNR time series at GPS time '--start' (require).")
+	group.add_option("--end", metavar = "seconds", type = "float", help = "End SNR time series at GPS time '--end' (require).")
 	group.add_option("--output-width", metavar = "bits", type = "int", default = 32, help = "The size of the output data, can only be 32 or 64 bits (default = 32 bits).")
 	group.add_option("--instrument", metavar = "name", help = "The detector from which the --reference-psd and --frame-cache are loaded (require).")
 	parser.add_option_group(group)

gstlal-inspiral/python/svd_bank_snr.py

@@ -87,7 +87,6 @@ class SNR_Pipeline(object):
                         "f0": 0,
                         "sampleUnits" : lal.DimensionlessUnit,
                         "length" : len(data)}
-
 		if data.dtype == numpy.float32:
 			tseries = lal.CreateREAL4TimeSeries(**para)
 		elif data.dtype == numpy.float64:
@@ -103,7 +102,7 @@ class SNR_Pipeline(object):
 		return tseries
 
 	def get_snr_series(self, COMPLEX = False):
-                assert snr_info["epoch"] is not None, "No SNRs are obtained, check your start time."
+                assert self.snr_info["epoch"] is not None, "No SNRs are obtained, check your start time."
 		gps_start = self.snr_info["epoch"].gpsSeconds + self.snr_info["epoch"].gpsNanoSeconds * 10.**-9
 		gps = gps_start + numpy.arange(len(self.snr_info["data"])) * self.snr_info["deltaT"]