parser.add_option("--etg-partition", metavar = "string", help = "If using Kafka, sets the partition that this ETG is assigned to.")
parser.add_option("--kafka-topic", metavar = "string", help = "If using Kafka, sets the topic name that this ETG publishes feature vector subsets to.")
parser.add_option("--kafka-server", metavar = "string", help = "If using Kafka, sets the server url that the kafka topic is hosted on.")
parser.add_option("--job-id", type = "string", default = "0001", help = "Sets the job identication of the ETG with a 4 digit integer code padded with zeros, useful for running multiple instances of the same pipeline in parallel. Default = 0001")
parser.add_option("--job-id", type = "string", default = "0001", help = "Sets the job identication of the ETG with a 4 digit integer string code, padded with zeros. Default = 0001")
parser.add_option("-m", "--mismatch", type = "float", default = 0.2, help = "Mismatch between templates, mismatch = 1 - minimal match. Default = 0.2.")
parser.add_option("-q", "--qhigh", type = "float", default = 20, help = "Q high value for half sine-gaussian waveforms. Default = 20.")
parser.add_option("--trigger-start-time", type = "int", metavar = "seconds", help = "Set the start time of the segment to output triggers in GPS seconds. Required unless --data-source=lvshm")
...
...
@@ -746,9 +746,8 @@ for subset_id, channel_subset in enumerate(data_source_info.channel_subsets, 1):