#!/usr/bin/env python3 from dfatool.dfatool import AnalyticModel, TimingData, pta_trace_to_aggregate from dfatool.parameters 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() by_name, parameters, arg_count = pta_trace_to_aggregate(preprocessed_data) model = AnalyticModel(by_name, parameters, arg_count) 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() by_name, parameters, arg_count = pta_trace_to_aggregate(preprocessed_data) prune_dependent_parameters(by_name, parameters) model = AnalyticModel(by_name, parameters, arg_count) 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('getObserveTx', 'duration'), None) 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_function_override(self): raw_data = TimingData(['test-data/20190815_122531_nRF24_no-rx.json']) preprocessed_data = raw_data.get_preprocessed_data() by_name, parameters, arg_count = pta_trace_to_aggregate(preprocessed_data) model = AnalyticModel(by_name, parameters, arg_count, function_override={('write', 'duration'): '(parameter(auto_ack!) * (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))) + ((1 - parameter(auto_ack!)) * regression_arg(4))'}) self.assertEqual(model.names, 'setAutoAck setPALevel setRetries setup write'.split(' ')) static_model = model.get_static() self.assertAlmostEqual(static_model('setAutoAck', 'duration'), 72, 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'), 1181, places=0) for transition in 'setAutoAck 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('setAutoAck', 'duration'), None) 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, '(parameter(auto_ack!) * (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))) + ((1 - parameter(auto_ack!)) * regression_arg(4))') self.assertAlmostEqual(param_info('write', 'duration')['function']._regression_args[0], 1162, 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) self.assertAlmostEqual(param_info('write', 'duration')['function']._regression_args[4], 1086, places=0) if __name__ == '__main__': unittest.main()