diff options
Diffstat (limited to 'test/test_timingharness.py')
-rwxr-xr-x | test/test_timingharness.py | 201 |
1 files changed, 138 insertions, 63 deletions
diff --git a/test/test_timingharness.py b/test/test_timingharness.py index 9c49b46..29e21f8 100755 --- a/test/test_timingharness.py +++ b/test/test_timingharness.py @@ -7,89 +7,164 @@ import unittest class TestModels(unittest.TestCase): def test_model_singlefile_rf24(self): - raw_data = TimingData(['test-data/20190815_111745_nRF24_no-rx.json']) + 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(' ')) + 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) + 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) + 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']) + 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(' ')) + 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) + 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) + 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']) + 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(' ')) + 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) + 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__': + 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() |