Lines Matching refs:x
52 read_avg_lat, read_min_lat, read_max_lat = [x / 1000 for x in [read_avg_lat, read_min_lat, read_max_lat]]
70 write_avg_lat, write_min_lat, write_max_lat = [x / 1000 for x in [write_avg_lat, write_min_lat, write_max_lat]]
100 fio_files = filter(lambda x: ".fio" in x, files)
101 json_files = [x for x in files if ".json" in x]
102 sar_files = [x for x in files if "sar" in x and "util" in x]
103 pm_files = [x for x in files if "pm" in x and "avg" in x]
133 job_result_files = [x for x in json_files if x.startswith(job_name)]
134 sar_result_files = [x for x in sar_files if x.startswith(job_name)]
137 job_pm_files = [x for x in pm_files if x.startswith(job_name)]
140 dcmi_sensors = [x for x in job_pm_files if "DCMI" in x]
141 socket_dram_sensors = [x for x in job_pm_files if "DCMI" not in x and ("socket" in x or "dram" in x)]
158 inits_names = set([os.path.splitext(x)[0].split("_")[-1] for x in job_result_files])
163 i_results = [x for x in job_result_files if i in x]
171 logging.info([float("{0:.3f}".format(x)) for x in stats])
175 init_results = [sum(x) for x in zip(*separate_stats)]
176 init_results = [x / len(separate_stats) for x in init_results]
177 init_results = [round(x, 3) for x in init_results]
184 fh.write(",".join([job_name, *["{0:.3f}".format(x) for x in init_results]]) + "\n")
188 inits_avg_results = [sum(x) for x in zip(*inits_avg_results)]