in read_stall_retry/latency_per_time_gap.py [0:0]
def main():
args = parse_args()
percentiles_list = [float(p) for p in args.percentiles.split(',')]
result_df = analyze_metrics(args.metrics_path, percentiles_list, args.time_gap)
if result_df is not None:
output_file = args.output_file
result_df.to_csv(output_file, index=False)
logger.info(f"Results have been saved to {output_file}")