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#!/usr/bin/env python3
from dfatool import AnalyticModel, TimingData, pta_trace_to_aggregate
import unittest
class TestModels(unittest.TestCase):
def test_model_singlefile_rf24(self):
raw_data = TimingData(['../data/20190724_161440_nRF24_no-rx.json'])
preprocessed_data = raw_data.get_preprocessed_data(verbose = False)
by_name, parameters, arg_count = pta_trace_to_aggregate(preprocessed_data)
model = AnalyticModel(by_name, parameters, verbose = False)
self.assertEqual(model.names, 'setAutoAck setPALevel setRetries setup startListening stopListening write'.split(' '))
static_model = model.get_static()
self.assertAlmostEqual(static_model('setAutoAck', 'duration'), 72, places=0)
self.assertAlmostEqual(static_model('setPALevel', 'duration'), 145, places=0)
self.assertAlmostEqual(static_model('setRetries', 'duration'), 72, places=0)
self.assertAlmostEqual(static_model('setup', 'duration'), 6464, places=0)
self.assertAlmostEqual(static_model('startListening', 'duration'), 455, places=0)
self.assertAlmostEqual(static_model('stopListening', 'duration'), 487, places=0)
self.assertAlmostEqual(static_model('write', 'duration'), 5877, places=0)
for transition in 'setAutoAck setPALevel setRetries setup startListening stopListening'.split(' '):
self.assertAlmostEqual(model.stats.param_dependence_ratio(transition, 'duration', 'channel'), 0, places=2)
if __name__ == '__main__':
unittest.main()
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