diff options
| author | Birte Kristina Friesel <birte.friesel@uos.de> | 2024-01-17 15:13:24 +0100 |
|---|---|---|
| committer | Birte Kristina Friesel <birte.friesel@uos.de> | 2024-01-17 15:13:24 +0100 |
| commit | a75b82d75da7146d9559413d9cb7766e751ca7ea (patch) | |
| tree | fb5fb6acf0229ffc3c9d730be258a4c6390b437f | |
| parent | 0015665bda8511db30c254adb351af94494deb7f (diff) | |
update tests for 0015665bda8511db30c254adb351af94494deb7f
| -rwxr-xr-x | test/test_timingharness.py | 20 |
1 files changed, 16 insertions, 4 deletions
diff --git a/test/test_timingharness.py b/test/test_timingharness.py index 0741c7a..c37fd3d 100755 --- a/test/test_timingharness.py +++ b/test/test_timingharness.py @@ -31,9 +31,12 @@ class TestModels(unittest.TestCase): param_model, param_info = model.get_fitted() self.assertIsInstance(param_info("setPALevel", "duration"), StaticFunction) - self.assertIsInstance(param_info("setRetries", "duration"), StaticFunction) self.assertIsInstance(param_info("setup", "duration"), StaticFunction) self.assertEqual( + param_info("setRetries", "duration").model_function, + "0 + regression_arg(0) + regression_arg(1) * np.log(function_arg(0) + 1) + regression_arg(2) * np.log(function_arg(1) + 1) + regression_arg(3) * np.log(function_arg(0) + 1) * np.log(function_arg(1) + 1)", + ) + self.assertEqual( param_info("write", "duration").model_function, "0 + regression_arg(0) + regression_arg(1) * parameter(max_retry_count) + regression_arg(2) * parameter(retry_delay) + regression_arg(3) * function_arg(1) + regression_arg(4) * parameter(max_retry_count) * parameter(retry_delay) + regression_arg(5) * parameter(max_retry_count) * function_arg(1) + regression_arg(6) * parameter(retry_delay) * function_arg(1) + regression_arg(7) * parameter(max_retry_count) * parameter(retry_delay) * function_arg(1)", ) @@ -90,9 +93,12 @@ class TestModels(unittest.TestCase): param_model, param_info = model.get_fitted() self.assertIsInstance(param_info("getObserveTx", "duration"), StaticFunction) self.assertIsInstance(param_info("setPALevel", "duration"), StaticFunction) - self.assertIsInstance(param_info("setRetries", "duration"), StaticFunction) self.assertIsInstance(param_info("setup", "duration"), StaticFunction) self.assertEqual( + param_info("setRetries", "duration").model_function, + "0 + regression_arg(0) + regression_arg(1) * np.log(function_arg(0) + 1) + regression_arg(2) * np.log(function_arg(1) + 1) + regression_arg(3) * np.log(function_arg(0) + 1) * np.log(function_arg(1) + 1)", + ) + self.assertEqual( param_info("write", "duration").model_function, "0 + regression_arg(0) + regression_arg(1) * parameter(max_retry_count) + regression_arg(2) * parameter(retry_delay) + regression_arg(3) * function_arg(1) + regression_arg(4) * parameter(max_retry_count) * parameter(retry_delay) + regression_arg(5) * parameter(max_retry_count) * function_arg(1) + regression_arg(6) * parameter(retry_delay) * function_arg(1) + regression_arg(7) * parameter(max_retry_count) * parameter(retry_delay) * function_arg(1)", ) @@ -159,10 +165,16 @@ class TestModels(unittest.TestCase): param_model, param_info = model.get_fitted() self.assertIsInstance(param_info("setAutoAck", "duration"), StaticFunction) - self.assertIsInstance(param_info("setPALevel", "duration"), StaticFunction) - self.assertIsInstance(param_info("setRetries", "duration"), StaticFunction) self.assertIsInstance(param_info("setup", "duration"), StaticFunction) self.assertEqual( + param_info("setRetries", "duration").model_function, + "0 + regression_arg(0) + regression_arg(1) * np.exp(function_arg(0)) + regression_arg(2) * np.log(function_arg(1) + 1) + regression_arg(3) * np.exp(function_arg(0)) * np.log(function_arg(1) + 1)", + ) + self.assertEqual( + param_info("setPALevel", "duration").model_function, + "0 + regression_arg(0) + regression_arg(1) * 1/(parameter(retry_delay))", + ) + self.assertEqual( param_info("write", "duration").model_function, "(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))", ) |