shell/lib/perf_metric_validation.py

22                 \tis {1} in workload(s): {2} \n\
31                     \tis {1} in workload(s): {2}\n\
39                  workload='true', metrics='', cputype='cpu'):
49         self.workloads = [x for x in workload.split(",") if x]
51         self.allresults = dict()  # metric results of all workload
55         self.results = dict()  # metric results of current workload
188         # The first round collect_perf() run these metrics with simple workload
189         # "true". We give metrics a second chance with a longer workload if less
380     def _run_perf(self, metric, workload: str):
383         wl = workload.split()
392     def collect_perf(self, workload: str):
394         Collect metric data with "perf stat -M" on given workload with -a and -j.
398         print(f"Long workload: {workload}")
416                 wl = workload
425         workload = self.workloads[self.wlidx]
427             data = self._run_perf(metric, workload)
510         Store all the data of one workload into the corresponding data structure for all workloads.
517     # Initialize data structures before data validation of each workload
594                           datafname=datafile, fullrulefname=fullrule, workload=args.wl,