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| author | Daniel Friesel <daniel.friesel@uos.de> | 2020-07-03 12:26:50 +0200 |
|---|---|---|
| committer | Daniel Friesel <daniel.friesel@uos.de> | 2020-07-03 12:26:50 +0200 |
| commit | adaa03cf0247b065e6b3863cf16ad88ee24f5169 (patch) | |
| tree | 82ee685bc24872d233965b0dbee1c58f0bc61d7e /test/test_ptamodel.py | |
| parent | 2b9aa06f7ca63eb58a4fe9abde9880fada1773e0 (diff) | |
AnalyticFunction: Remove _ prefix from public attributes
Diffstat (limited to 'test/test_ptamodel.py')
| -rwxr-xr-x | test/test_ptamodel.py | 18 |
1 files changed, 9 insertions, 9 deletions
diff --git a/test/test_ptamodel.py b/test/test_ptamodel.py index 3237450..9abe3c0 100755 --- a/test/test_ptamodel.py +++ b/test/test_ptamodel.py @@ -134,26 +134,26 @@ 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, + param_info("RX", "power")["function"].model_function, "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 + param_info("RX", "power")["function"].model_args[0], 48530.7, places=0 ) self.assertAlmostEqual( - param_info("RX", "power")["function"]._regression_args[1], 117, places=0 + param_info("RX", "power")["function"].model_args[1], 117, places=0 ) self.assertEqual(param_info("STANDBY1", "power"), None) self.assertEqual( - param_info("TX", "power")["function"]._model_str, + param_info("TX", "power")["function"].model_function, "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, + param_info("epilogue", "timeout")["function"].model_function, "0 + regression_arg(0) + regression_arg(1) * 1/(parameter(datarate))", ) self.assertEqual( - param_info("stopListening", "duration")["function"]._model_str, + param_info("stopListening", "duration")["function"].model_function, "0 + regression_arg(0) + regression_arg(1) * 1/(parameter(datarate))", ) @@ -371,7 +371,7 @@ 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, + param_info("RX", "power")["function"].model_function, "0 + regression_arg(0) + regression_arg(1) * np.log(parameter(symbolrate) + 1)", ) self.assertEqual(param_info("SLEEP", "power"), None) @@ -380,10 +380,10 @@ class TestModels(unittest.TestCase): self.assertEqual(param_info("XOFF", "power"), None) self.assertAlmostEqual( - param_info("RX", "power")["function"]._regression_args[0], 84415, places=0 + param_info("RX", "power")["function"].model_args[0], 84415, places=0 ) self.assertAlmostEqual( - param_info("RX", "power")["function"]._regression_args[1], 206, places=0 + param_info("RX", "power")["function"].model_args[1], 206, places=0 ) |