if "trace-filter" in opt:
trace_filter = []
for trace in opt["trace-filter"].split():
trace_filter.append(trace.split(","))
opt["trace-filter"] = trace_filter
else:
opt["trace-filter"] = None
except getopt.GetoptError as err:
print(err)
sys.exit(2)
modelfile = args[0]
pta = PTA.from_file(modelfile)
enum = dict()
if ".json" not in modelfile:
with open(modelfile, "r") as f:
driver_definition = yaml.safe_load(f)
if "dummygen" in driver_definition and "enum" in driver_definition[
"dummygen"]:
enum = driver_definition["dummygen"]["enum"]
pta.set_random_energy_model()
runs = list(
pta.dfs(
opt["depth"],
with_arguments=True,
if result.energy_mae:
print(u" ± {} / {:.0f}%".format(
human_readable(result.energy_mae, "J"), result.energy_mape))
print(" Mean Power: " + human_readable(result.mean_power, "W"))
print("")
prev_state = result.end_state
prev_param = result.parameters
return ret
for i in range(len(args) // 2):
ptafile, raw_word = args[i * 2], args[i * 2 + 1]
ptafiles.append(ptafile)
pta = PTA.from_file(ptafile)
timedword = TimedSequence(raw_word)
print("Input: {}\n".format(timedword))
loops[ptafile] = simulate_word(timedword)
for loop_name in sorted(loop_names):
result_set = list()
total_power = 0
for ptafile in sorted(ptafiles):
if loop_name in loops[ptafile]:
result_set.append(loops[ptafile][loop_name])
total_power += loops[ptafile][loop_name].mean_power
print("{}: total mean power is {}".format(loop_name,
human_readable(total_power,
"W")))
for i, result in enumerate(result_set):
show_models = args.show_models
show_quality = args.show_quality
if args.filter_param:
args.filter_param = list(
map(lambda x: x.split("="), args.filter_param.split(","))
)
else:
args.filter_param = list()
if args.with_safe_functions is not None:
safe_functions_enabled = True
if args.hwmodel:
pta = PTA.from_file(args.hwmodel)
raw_data = RawData(
args.measurement,
with_traces=(
args.export_traces is not None
or args.plot_traces is not None
or args.with_substates is not None
),
skip_cache=args.no_cache,
)
if args.info:
print(" ".join(raw_data.filenames) + ":")
data_source = "???"
if raw_data.ptalog:
def main(filename):
pta = PTA.from_file(filename)
print(pta.to_dot())
