blob: fcfb13991ac154ef5b38e120b3daac8663345529 (
plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
|
#!/usr/bin/env python3
import json
import numpy as np
import os
from scipy.cluster.vq import kmeans2
import struct
import sys
import tarfile
from dfatool import EnergyModel, RawData
if __name__ == '__main__':
filename = sys.argv[1]
raw_data = RawData(filename)
preprocessed_data = raw_data.get_preprocessed_data()
model = EnergyModel(preprocessed_data)
static_model = model.get_static()
print('--- simple static model ---')
for state in model.states():
print('{:10s}: {:.0f} µW'.format(state, static_model(state, 'power')))
for trans in model.transitions():
print('{:10s}: {:.0f} / {:.0f} / {:.0f} pJ'.format(
trans, static_model(trans, 'energy'),
static_model(trans, 'rel_energy_prev'),
static_model(trans, 'rel_energy_next')))
model.assess(model.get_static())
sys.exit(0)
|
