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#!/usr/bin/env python3
import sys
from dfatool.automata import PTA
from dfatool.utils import human_readable
from dfatool.lex import TimedSequence, TimedWord, Workload
args = sys.argv[1:]
loops = dict()
ptafiles = list()
loop_names = set()
def simulate_word(timedword):
prev_state = 'UNINITIALIZED'
prev_param = None
ret = dict()
for trace_part in timedword:
print('Trace Part {}'.format(trace_part))
if type(trace_part) is TimedWord:
result = pta.simulate(trace_part, orig_state=prev_state, orig_param=prev_param)
elif type(trace_part) is Workload:
result = pta.simulate(trace_part.word, orig_state=prev_state, orig_param=prev_param)
if prev_state != result.end_state:
print('Warning: loop starts in state {}, but terminates in {}'.format(prev_state, result.end_state.name))
if prev_param != result.parameters:
print('Warning: loop starts with parameters {}, but terminates with {}'.format(prev_param, result.parameters))
ret[trace_part.name] = result
loop_names.add(trace_part.name)
print(' Duration: ' + human_readable(result.duration, 's'))
if result.duration_mae:
print(u' ± {} / {:.0f}%'.format(human_readable(result.duration_mae, 's'), result.duration_mape))
print(' Energy: ' + human_readable(result.energy, 'J'))
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):
print(' {:.0f}% {} (period: {})'.format(result.mean_power * 100 / total_power, ptafiles[i], human_readable(result.duration, 's')))
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