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#!/usr/bin/env python3
import sys
from dfatool import EnergyModel, RawData
if __name__ == '__main__':
filenames = sys.argv[1:]
raw_data = RawData(filenames)
preprocessed_data = raw_data.get_preprocessed_data()
model = EnergyModel(preprocessed_data)
print('--- simple static model ---')
static_model = model.get_static()
for state in model.states():
print('{:10s}: {:.0f} µW ({:.2f})'.format(
state,
static_model(state, 'power'),
model.generic_param_dependence_ratio(state, 'power')))
for param in model.parameters():
print('{:10s} dependence on {:15s}: {:.2f}'.format(
'',
param,
model.param_dependence_ratio(state, 'power', param)))
for trans in model.transitions():
print('{:10s}: {:.0f} / {:.0f} / {:.0f} pJ ({:.2f} / {:.2f} / {:.2f})'.format(
trans, static_model(trans, 'energy'),
static_model(trans, 'rel_energy_prev'),
static_model(trans, 'rel_energy_next'),
model.generic_param_dependence_ratio(trans, 'energy'),
model.generic_param_dependence_ratio(trans, 'rel_energy_prev'),
model.generic_param_dependence_ratio(trans, 'rel_energy_next')))
print('{:10s}: {:.0f} µs'.format(trans, static_model(trans, 'duration')))
model.assess(static_model)
print('--- LUT ---')
lut_model = model.get_param_lut()
model.assess(lut_model)
sys.exit(0)
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