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#!/usr/bin/env python3
from dfatool import AnalyticModel, TimingData, pta_trace_to_aggregate
from utils import prune_dependent_parameters
import unittest
class TestModels(unittest.TestCase):
def test_model_singlefile_rf24(self):
raw_data = TimingData(['test-data/20190815_111745_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, arg_count, verbose = False)
self.assertEqual(model.names, 'setPALevel setRetries setup write'.split(' '))
static_model = model.get_static()
self.assertAlmostEqual(static_model('setPALevel', 'duration'), 146, places=0)
self.assertAlmostEqual(static_model('setRetries', 'duration'), 73, places=0)
self.assertAlmostEqual(static_model('setup', 'duration'), 6533, places=0)
self.assertAlmostEqual(static_model('write', 'duration'), 12634, places=0)
for transition in 'setPALevel setRetries setup write'.split(' '):
self.assertAlmostEqual(model.stats.param_dependence_ratio(transition, 'duration', 'channel'), 0, places=2)
param_model, param_info = model.get_fitted()
self.assertEqual(param_info('setPALevel', 'duration'), None)
self.assertEqual(param_info('setRetries', 'duration'), None)
self.assertEqual(param_info('setup', 'duration'), None)
self.assertEqual(param_info('write', 'duration')['function']._model_str, '0 + regression_arg(0) + regression_arg(1) * parameter(max_retry_count) + regression_arg(2) * parameter(retry_delay) + regression_arg(3) * parameter(max_retry_count) * parameter(retry_delay)')
self.assertAlmostEqual(param_info('write', 'duration')['function']._regression_args[0], 1163, places=0)
self.assertAlmostEqual(param_info('write', 'duration')['function']._regression_args[1], 464, places=0)
self.assertAlmostEqual(param_info('write', 'duration')['function']._regression_args[2], 1, places=0)
self.assertAlmostEqual(param_info('write', 'duration')['function']._regression_args[3], 1, places=0)
def test_dependent_parameter_pruning(self):
raw_data = TimingData(['test-data/20190815_103347_nRF24_no-rx.json'])
preprocessed_data = raw_data.get_preprocessed_data(verbose = False)
by_name, parameters, arg_count = pta_trace_to_aggregate(preprocessed_data)
prune_dependent_parameters(by_name, parameters)
model = AnalyticModel(by_name, parameters, arg_count, verbose = False)
self.assertEqual(model.names, 'getObserveTx setPALevel setRetries setup write'.split(' '))
static_model = model.get_static()
self.assertAlmostEqual(static_model('getObserveTx', 'duration'), 75, places=0)
self.assertAlmostEqual(static_model('setPALevel', 'duration'), 146, places=0)
self.assertAlmostEqual(static_model('setRetries', 'duration'), 73, places=0)
self.assertAlmostEqual(static_model('setup', 'duration'), 6533, places=0)
self.assertAlmostEqual(static_model('write', 'duration'), 12634, places=0)
for transition in 'getObserveTx setPALevel setRetries setup write'.split(' '):
self.assertAlmostEqual(model.stats.param_dependence_ratio(transition, 'duration', 'channel'), 0, places=2)
param_model, param_info = model.get_fitted()
self.assertEqual(param_info('setPALevel', 'duration'), None)
self.assertEqual(param_info('setRetries', 'duration'), None)
self.assertEqual(param_info('setup', 'duration'), None)
self.assertEqual(param_info('write', 'duration')['function']._model_str, '0 + regression_arg(0) + regression_arg(1) * parameter(max_retry_count) + regression_arg(2) * parameter(retry_delay) + regression_arg(3) * parameter(max_retry_count) * parameter(retry_delay)')
self.assertAlmostEqual(param_info('write', 'duration')['function']._regression_args[0], 1163, places=0)
self.assertAlmostEqual(param_info('write', 'duration')['function']._regression_args[1], 464, places=0)
self.assertAlmostEqual(param_info('write', 'duration')['function']._regression_args[2], 1, places=0)
self.assertAlmostEqual(param_info('write', 'duration')['function']._regression_args[3], 1, places=0)
if __name__ == '__main__':
unittest.main()
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