Functions | |
debug_print (dict values) | |
Variables | |
trials = int(sys.argv[2]) | |
df = pl.read_csv(sys.argv[1], has_header=False) | |
columns | |
dict | field_map |
dict | event_to_key = {v: k for k, v in field_map.items() if v != "NA"} |
filtered = df.filter(pl.col("event").is_in(event_to_key.keys())) | |
tuple | to_clean |
dict | values = {key: "NA" for key in field_map} |
named | |
dict | cli_key = event_to_key[row["event"]] |
list | ordered_keys |
pipeline.parse_perf_metrics.debug_print | ( | dict | values | ) |
Definition at line 106 of file parse_perf_metrics.py.
dict pipeline.parse_perf_metrics.cli_key = event_to_key[row["event"]] |
Definition at line 86 of file parse_perf_metrics.py.
pipeline.parse_perf_metrics.columns |
Definition at line 52 of file parse_perf_metrics.py.
pipeline.parse_perf_metrics.df = pl.read_csv(sys.argv[1], has_header=False) |
Definition at line 51 of file parse_perf_metrics.py.
dict pipeline.parse_perf_metrics.event_to_key = {v: k for k, v in field_map.items() if v != "NA"} |
Definition at line 71 of file parse_perf_metrics.py.
dict pipeline.parse_perf_metrics.field_map |
Definition at line 54 of file parse_perf_metrics.py.
pipeline.parse_perf_metrics.filtered = df.filter(pl.col("event").is_in(event_to_key.keys())) |
Definition at line 72 of file parse_perf_metrics.py.
pipeline.parse_perf_metrics.named |
Definition at line 85 of file parse_perf_metrics.py.
list pipeline.parse_perf_metrics.ordered_keys |
Definition at line 94 of file parse_perf_metrics.py.
tuple pipeline.parse_perf_metrics.to_clean |
Definition at line 75 of file parse_perf_metrics.py.
pipeline.parse_perf_metrics.trials = int(sys.argv[2]) |
Definition at line 49 of file parse_perf_metrics.py.
dict pipeline.parse_perf_metrics.values = {key: "NA" for key in field_map} |
Definition at line 83 of file parse_perf_metrics.py.