Added support for non-inj only workflows

gstlal-inspiral/bin/gstlal_inspiral_workflow

@@ -113,7 +113,8 @@ elif args.command == "create":
 			# load the rest of the filter data products
 			#segments = find_online(config.rank.segments_name, root = os.path.join(config.data.rerank_dir, 'segments'), svd_bins = bin_dict.keys(), subtype = "TRIGGERS")
 			triggers = find_online(config.rank.triggers_name, start = int(config.start), end = bin_dict, root = config.data.analysis_dir, svd_bins = bin_dict.keys(), subtype = "TRIGGERS")
-			inj_triggers = find_online(config.rank.inj_triggers_name, start = int(config.start), end = bin_dict, root = config.data.analysis_dir, svd_bins = bin_dict.keys(), subtype = "TRIGGERS")
+			if config.filter.injections:
+				inj_triggers = find_online(config.rank.inj_triggers_name, start = int(config.start), end = bin_dict, root = config.data.analysis_dir, svd_bins = bin_dict.keys(), subtype = "TRIGGERS")
 			## inverted segments are used as vetos for when the original analysis was off
 			#inverted_segments = find_online(config.rank.segments_name, root = os.path.join(config.data.rerank_dir, 'inverted_segments'), subtype = "TRIGGERS")
 
@@ -126,7 +127,8 @@ elif args.command == "create":
 						ref_psd = DataCache.find(DataType.REFERENCE_PSD, root=config.data.rerank_dir)
 				dist_stats = dag.create_prior_seed(dist_stats, svd_bank, ref_psd)
 
-			triggers += inj_triggers
+			if config.filter.injections:
+				triggers += inj_triggers
 			triggers = dag.add_and_simplify(triggers)
 			triggers = dag.calc_likelihood(triggers, dist_stats)
 			triggers = dag.merge_and_reduce(triggers)