diff options
Diffstat (limited to 'test/test_timingharness.py')
| -rwxr-xr-x | test/test_timingharness.py | 12 |
1 files changed, 6 insertions, 6 deletions
diff --git a/test/test_timingharness.py b/test/test_timingharness.py index c8a422c..9c49b46 100755 --- a/test/test_timingharness.py +++ b/test/test_timingharness.py @@ -8,9 +8,9 @@ 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) + 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, verbose=False) + 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) @@ -34,10 +34,10 @@ class TestModels(unittest.TestCase): 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) + 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, verbose=False) + 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) @@ -63,9 +63,9 @@ class TestModels(unittest.TestCase): 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) + 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, 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))'}) + 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) |