import hdrh.codec
+_NORM_FREQUENCY = 2.0 # [GHz]
_FREQURENCY = { # [GHz]
"2n-aws": 1.000,
"2n-dnv": 2.000,
continue
phy = itm["phy"].split("-")
topo_arch = f"{phy[0]}-{phy[1]}" if len(phy) == 4 else str()
- norm_factor = 2.0 / _FREQURENCY[topo_arch] if normalize else 1.0
+ norm_factor = (_NORM_FREQUENCY / _FREQURENCY[topo_arch]) \
+ if normalize else 1.0
if itm["testtype"] == "mrr":
y_data_raw = itm_data[_VALUE[itm["testtype"]]].to_list()[0]
- y_data = [y * norm_factor for y in y_data_raw]
+ y_data = [(y * norm_factor) for y in y_data_raw]
if len(y_data) > 0:
y_tput_max = \
max(y_data) if max(y_data) > y_tput_max else y_tput_max
else:
y_data_raw = itm_data[_VALUE[itm["testtype"]]].to_list()
- y_data = [y * norm_factor for y in y_data_raw]
+ y_data = [(y * norm_factor) for y in y_data_raw]
if y_data:
y_tput_max = \
max(y_data) if max(y_data) > y_tput_max else y_tput_max
if itm["testtype"] == "pdr":
y_lat_row = itm_data[_VALUE["pdr-lat"]].to_list()
- y_lat = [y * norm_factor for y in y_lat_row]
+ y_lat = [(y / norm_factor) for y in y_lat_row]
if y_lat:
y_lat_max = max(y_lat) if max(y_lat) > y_lat_max else y_lat_max
nr_of_samples = len(y_lat)