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authorDaniel Friesel <daniel.friesel@uos.de>2020-07-03 12:26:50 +0200
committerDaniel Friesel <daniel.friesel@uos.de>2020-07-03 12:26:50 +0200
commitadaa03cf0247b065e6b3863cf16ad88ee24f5169 (patch)
tree82ee685bc24872d233965b0dbee1c58f0bc61d7e /test
parent2b9aa06f7ca63eb58a4fe9abde9880fada1773e0 (diff)
AnalyticFunction: Remove _ prefix from public attributes
Diffstat (limited to 'test')
-rwxr-xr-xtest/test_parameters.py2
-rwxr-xr-xtest/test_ptamodel.py18
-rwxr-xr-xtest/test_timingharness.py32
3 files changed, 26 insertions, 26 deletions
diff --git a/test/test_parameters.py b/test/test_parameters.py
index 5d7ec84..baf1c99 100755
--- a/test/test_parameters.py
+++ b/test/test_parameters.py
@@ -63,7 +63,7 @@ class TestModels(unittest.TestCase):
combined_fit = analytic.function_powerset(fit_result, parameter_names, 0)
self.assertEqual(
- combined_fit._model_str,
+ combined_fit.model_function,
"0 + regression_arg(0) + regression_arg(1) * parameter(p_linear)",
)
self.assertEqual(
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
)
diff --git a/test/test_timingharness.py b/test/test_timingharness.py
index 29e21f8..13289ea 100755
--- a/test/test_timingharness.py
+++ b/test/test_timingharness.py
@@ -30,25 +30,25 @@ class TestModels(unittest.TestCase):
self.assertEqual(param_info("setRetries", "duration"), None)
self.assertEqual(param_info("setup", "duration"), None)
self.assertEqual(
- param_info("write", "duration")["function"]._model_str,
+ param_info("write", "duration")["function"].model_function,
"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],
+ param_info("write", "duration")["function"].model_args[0],
1163,
places=0,
)
self.assertAlmostEqual(
- param_info("write", "duration")["function"]._regression_args[1],
+ param_info("write", "duration")["function"].model_args[1],
464,
places=0,
)
self.assertAlmostEqual(
- param_info("write", "duration")["function"]._regression_args[2], 1, places=0
+ param_info("write", "duration")["function"].model_args[2], 1, places=0
)
self.assertAlmostEqual(
- param_info("write", "duration")["function"]._regression_args[3], 1, places=0
+ param_info("write", "duration")["function"].model_args[3], 1, places=0
)
def test_dependent_parameter_pruning(self):
@@ -80,25 +80,25 @@ class TestModels(unittest.TestCase):
self.assertEqual(param_info("setRetries", "duration"), None)
self.assertEqual(param_info("setup", "duration"), None)
self.assertEqual(
- param_info("write", "duration")["function"]._model_str,
+ param_info("write", "duration")["function"].model_function,
"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],
+ param_info("write", "duration")["function"].model_args[0],
1163,
places=0,
)
self.assertAlmostEqual(
- param_info("write", "duration")["function"]._regression_args[1],
+ param_info("write", "duration")["function"].model_args[1],
464,
places=0,
)
self.assertAlmostEqual(
- param_info("write", "duration")["function"]._regression_args[2], 1, places=0
+ param_info("write", "duration")["function"].model_args[2], 1, places=0
)
self.assertAlmostEqual(
- param_info("write", "duration")["function"]._regression_args[3], 1, places=0
+ param_info("write", "duration")["function"].model_args[3], 1, places=0
)
def test_function_override(self):
@@ -139,28 +139,28 @@ class TestModels(unittest.TestCase):
self.assertEqual(param_info("setRetries", "duration"), None)
self.assertEqual(param_info("setup", "duration"), None)
self.assertEqual(
- param_info("write", "duration")["function"]._model_str,
+ param_info("write", "duration")["function"].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))",
)
self.assertAlmostEqual(
- param_info("write", "duration")["function"]._regression_args[0],
+ param_info("write", "duration")["function"].model_args[0],
1162,
places=0,
)
self.assertAlmostEqual(
- param_info("write", "duration")["function"]._regression_args[1],
+ param_info("write", "duration")["function"].model_args[1],
464,
places=0,
)
self.assertAlmostEqual(
- param_info("write", "duration")["function"]._regression_args[2], 1, places=0
+ param_info("write", "duration")["function"].model_args[2], 1, places=0
)
self.assertAlmostEqual(
- param_info("write", "duration")["function"]._regression_args[3], 1, places=0
+ param_info("write", "duration")["function"].model_args[3], 1, places=0
)
self.assertAlmostEqual(
- param_info("write", "duration")["function"]._regression_args[4],
+ param_info("write", "duration")["function"].model_args[4],
1086,
places=0,
)