0.14.33

pytest cleanup

Author: bartzbeielstein

pyproject.toml

@@ -7,7 +7,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "spotpython"
-version = "0.14.32"
+version = "0.14.33"
 authors = [
   { name="T. Bartz-Beielstein", email="tbb@bartzundbartz.de" }
 ]

test/test_get_var_name.py

@@ -1,4 +1,3 @@
-import pytest
 from spotPython.hyperparameters.values import get_var_name
 
 
@@ -34,7 +33,3 @@ def test_get_var_name():
     }
     # fun_control has 5 keys (hyperparameters)
     assert len(get_var_name(fun_control)) == 5
-
-
-if __name__ == "__main__":
-    pytest.main(["-v", __file__])

test/test_hyper_light_fun.py

@@ -1,4 +1,3 @@
-import pytest
 from spotPython.utils.init import fun_control_init
 from spotPython.light.regression.netlightregression import NetLightRegression
 from spotPython.hyperdict.light_hyper_dict import LightHyperDict
@@ -26,7 +25,3 @@ def test_hyper_light_fun():
     X = np.vstack((X, X))
     y = hyper_light.fun(X, fun_control)
     assert y.shape == (2,)
-
-
-if __name__ == "__main__":
-    pytest.main(["-v", __file__])

test/test_optimizer_handler.py

@@ -1,4 +1,3 @@
-import pytest
 from torch.utils.data import DataLoader
 from spotPython.data.diabetes import Diabetes
 from spotPython.light.regression.netlightregression import NetLightRegression
@@ -61,7 +60,3 @@ def test_optimizer_handler_adadelta():
     # Adadelta uses a lr which is calculated as lr=lr_mult * 1.0, so this value
     # should be 1.0 * 0.1 = 0.1
     assert trainer.optimizers[0].param_groups[0]["lr"] == lr_mult * 1.0
-
-
-if __name__ == "__main__":
-    pytest.main(["-v", __file__])

test/test_pkldataset.py

@@ -1,4 +1,3 @@
-import pytest
 import torch
 from torch.utils.data import DataLoader
 from spotPython.data.pkldataset import PKLDataset
@@ -28,7 +27,3 @@ def test_pkl_dataset():
         assert inputs.size(0) == batch_size
         assert targets.size(0) == batch_size
         break
-
-
-if __name__ == "__main__":
-    pytest.main(["-v", __file__])

test/test_testmodel.py

@@ -1,4 +1,3 @@
-import pytest
 from spotPython.utils.init import fun_control_init
 from spotPython.light.regression.netlightregression import NetLightRegression
 from spotPython.hyperdict.light_hyper_dict import LightHyperDict
@@ -24,7 +23,3 @@ def test_testmodel():
         break
     # check if y is a float
     assert isinstance(y_test[0], float)
-
-
-if __name__ == "__main__":
-    pytest.main(["-v", __file__])

test/test_trainmodel.py

@@ -1,4 +1,3 @@
-import pytest
 from spotPython.utils.init import fun_control_init
 from spotPython.light.regression.netlightregression import NetLightRegression
 from spotPython.hyperdict.light_hyper_dict import LightHyperDict
@@ -23,7 +22,3 @@ def test_trainmodel():
         break
     # check if y is a float
     assert isinstance(y_train, float)
-
-
-if __name__ == "__main__":
-    pytest.main(["-v", __file__])