diff options
Diffstat (limited to 'test/test_timingharness.py')
| -rwxr-xr-x | test/test_timingharness.py | 29 |
1 files changed, 29 insertions, 0 deletions
diff --git a/test/test_timingharness.py b/test/test_timingharness.py index b5937ad..5fb5fb1 100755 --- a/test/test_timingharness.py +++ b/test/test_timingharness.py @@ -49,6 +49,7 @@ class TestModels(unittest.TestCase): 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) @@ -59,6 +60,34 @@ class TestModels(unittest.TestCase): 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(verbose = False) + by_name, parameters, arg_count = pta_trace_to_aggregate(preprocessed_data) + model = AnalyticModel(by_name, parameters, arg_count, verbose = False, 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() |