diff options
Diffstat (limited to 'test/test_ptamodel.py')
| -rwxr-xr-x | test/test_ptamodel.py | 39 |
1 files changed, 20 insertions, 19 deletions
diff --git a/test/test_ptamodel.py b/test/test_ptamodel.py index 36d2c11..6bd2f6a 100755 --- a/test/test_ptamodel.py +++ b/test/test_ptamodel.py @@ -5,12 +5,13 @@ import os import unittest import pytest + class TestModels(unittest.TestCase): def test_model_singlefile_rf24(self): raw_data = RawData(['test-data/20170220_164723_RF24_int_A.tar']) - preprocessed_data = raw_data.get_preprocessed_data(verbose = False) + preprocessed_data = raw_data.get_preprocessed_data(verbose=False) by_name, parameters, arg_count = pta_trace_to_aggregate(preprocessed_data) - model = PTAModel(by_name, parameters, arg_count, verbose = False) + model = PTAModel(by_name, parameters, arg_count, verbose=False) self.assertEqual(model.states(), 'POWERDOWN RX STANDBY1 TX'.split(' ')) self.assertEqual(model.transitions(), 'begin epilogue powerDown powerUp setDataRate_num setPALevel_num startListening stopListening write_nb'.split(' ')) static_model = model.get_static() @@ -62,25 +63,24 @@ class TestModels(unittest.TestCase): param_model, param_info = model.get_fitted() self.assertEqual(param_info('POWERDOWN', 'power'), None) self.assertEqual(param_info('RX', 'power')['function']._model_str, - '0 + regression_arg(0) + regression_arg(1) * np.sqrt(parameter(datarate))') + '0 + regression_arg(0) + regression_arg(1) * np.sqrt(parameter(datarate))') self.assertAlmostEqual(param_info('RX', 'power')['function']._regression_args[0], 48530.7, places=0) self.assertAlmostEqual(param_info('RX', 'power')['function']._regression_args[1], 117, places=0) self.assertEqual(param_info('STANDBY1', 'power'), None) self.assertEqual(param_info('TX', 'power')['function']._model_str, - '0 + regression_arg(0) + regression_arg(1) * 1/(parameter(datarate)) + regression_arg(2) * parameter(txpower) + regression_arg(3) * 1/(parameter(datarate)) * parameter(txpower)') + '0 + regression_arg(0) + regression_arg(1) * 1/(parameter(datarate)) + regression_arg(2) * parameter(txpower) + regression_arg(3) * 1/(parameter(datarate)) * parameter(txpower)') self.assertEqual(param_info('epilogue', 'timeout')['function']._model_str, - '0 + regression_arg(0) + regression_arg(1) * 1/(parameter(datarate))') + '0 + regression_arg(0) + regression_arg(1) * 1/(parameter(datarate))') self.assertEqual(param_info('stopListening', 'duration')['function']._model_str, - '0 + regression_arg(0) + regression_arg(1) * 1/(parameter(datarate))') + '0 + regression_arg(0) + regression_arg(1) * 1/(parameter(datarate))') self.assertAlmostEqual(param_model('RX', 'power', param=[1, None, None]), 48647, places=-1) - def test_model_singlefile_mmparam(self): raw_data = RawData(['test-data/20161221_123347_mmparam.tar']) - preprocessed_data = raw_data.get_preprocessed_data(verbose = False) + preprocessed_data = raw_data.get_preprocessed_data(verbose=False) by_name, parameters, arg_count = pta_trace_to_aggregate(preprocessed_data) - model = PTAModel(by_name, parameters, arg_count, verbose = False) + model = PTAModel(by_name, parameters, arg_count, verbose=False) self.assertEqual(model.states(), 'OFF ON'.split(' ')) self.assertEqual(model.transitions(), 'off setBrightness'.split(' ')) static_model = model.get_static() @@ -100,7 +100,7 @@ class TestModels(unittest.TestCase): param_lut_model('ON', 'power', param=['a']) param_lut_model('ON', 'power', param=[0]) self.assertTrue(param_lut_model('ON', 'power', param=[0, 0])) - param_lut_model = model.get_param_lut(fallback = True) + param_lut_model = model.get_param_lut(fallback=True) self.assertAlmostEqual(param_lut_model('ON', 'power', param=[None, None]), 17866, places=0) def test_model_multifile_lm75x(self): @@ -109,9 +109,9 @@ class TestModels(unittest.TestCase): 'test-data/20170116_131306_LM75x.tar', ] raw_data = RawData(testfiles) - preprocessed_data = raw_data.get_preprocessed_data(verbose = False) + preprocessed_data = raw_data.get_preprocessed_data(verbose=False) by_name, parameters, arg_count = pta_trace_to_aggregate(preprocessed_data) - model = PTAModel(by_name, parameters, arg_count, verbose = False) + model = PTAModel(by_name, parameters, arg_count, verbose=False) self.assertEqual(model.states(), 'ACTIVE POWEROFF'.split(' ')) self.assertEqual(model.transitions(), 'getTemp setHyst setOS shutdown start'.split(' ')) static_model = model.get_static() @@ -139,9 +139,9 @@ class TestModels(unittest.TestCase): 'test-data/20170116_151348_sharpLS013B4DN.tar', ] raw_data = RawData(testfiles) - preprocessed_data = raw_data.get_preprocessed_data(verbose = False) + preprocessed_data = raw_data.get_preprocessed_data(verbose=False) by_name, parameters, arg_count = pta_trace_to_aggregate(preprocessed_data) - model = PTAModel(by_name, parameters, arg_count, verbose = False) + model = PTAModel(by_name, parameters, arg_count, verbose=False) self.assertEqual(model.states(), 'DISABLED ENABLED'.split(' ')) self.assertEqual(model.transitions(), 'clear disable enable ioInit sendLine toggleVCOM'.split(' ')) static_model = model.get_static() @@ -172,9 +172,9 @@ class TestModels(unittest.TestCase): 'test-data/20170116_142654_mmstatic.tar', ] raw_data = RawData(testfiles) - preprocessed_data = raw_data.get_preprocessed_data(verbose = False) + preprocessed_data = raw_data.get_preprocessed_data(verbose=False) by_name, parameters, arg_count = pta_trace_to_aggregate(preprocessed_data) - model = PTAModel(by_name, parameters, arg_count, verbose = False) + model = PTAModel(by_name, parameters, arg_count, verbose=False) self.assertEqual(model.states(), 'B G OFF R'.split(' ')) self.assertEqual(model.transitions(), 'blue green off red'.split(' ')) static_model = model.get_static() @@ -206,9 +206,9 @@ class TestModels(unittest.TestCase): 'test-data/20170125_154019_cc1200.tar', ] raw_data = RawData(testfiles) - preprocessed_data = raw_data.get_preprocessed_data(verbose = False) + preprocessed_data = raw_data.get_preprocessed_data(verbose=False) by_name, parameters, arg_count = pta_trace_to_aggregate(preprocessed_data) - model = PTAModel(by_name, parameters, arg_count, verbose = False) + model = PTAModel(by_name, parameters, arg_count, verbose=False) self.assertEqual(model.states(), 'IDLE RX SLEEP SLEEP_EWOR SYNTH_ON TX XOFF'.split(' ')) self.assertEqual(model.transitions(), 'crystal_off eWOR idle init prepare_xmit receive send setSymbolRate setTxPower sleep txDone'.split(' ')) static_model = model.get_static() @@ -234,7 +234,7 @@ class TestModels(unittest.TestCase): param_model, param_info = model.get_fitted() self.assertEqual(param_info('IDLE', 'power'), None) self.assertEqual(param_info('RX', 'power')['function']._model_str, - '0 + regression_arg(0) + regression_arg(1) * np.log(parameter(symbolrate) + 1)') + '0 + regression_arg(0) + regression_arg(1) * np.log(parameter(symbolrate) + 1)') self.assertEqual(param_info('SLEEP', 'power'), None) self.assertEqual(param_info('SLEEP_EWOR', 'power'), None) self.assertEqual(param_info('SYNTH_ON', 'power'), None) @@ -243,5 +243,6 @@ class TestModels(unittest.TestCase): self.assertAlmostEqual(param_info('RX', 'power')['function']._regression_args[0], 84415, places=0) self.assertAlmostEqual(param_info('RX', 'power')['function']._regression_args[1], 206, places=0) + if __name__ == '__main__': unittest.main() |