Merge pull request #137 from FelixWodaczek/fix_dii_tests_pyversion

Fix DII unittests for newer Python versions

Author: wildromi

dadapy/feature_weighting.py

@@ -697,7 +697,7 @@ def return_lasso_optimization_dii_search(
             end = time.time()
             if self.verb:
                 print(
-                    f"optimization with l1-penalty {i+1} of strength "
+                    f"optimization with l1-penalty {i + 1} of strength "
                     + f"{l1_penalties[i]:.4g} took: {end - start:.2f} s.",
                 )
 

tests/test_feature_weighting/test_differentiable_imbalance.py

@@ -28,7 +28,7 @@
 def test_typing():
     """Test typing decorator function."""
     data = rng.random((10, 5))
-    for dtype in [np.float16, np.float32, np.double, np.float64, np.float128]:
+    for dtype in [np.float16, np.float32, np.double, np.float64]:
         # This should run with only floats as input arrays
         dist_mat = dii._return_full_dist_matrix(
             data.astype(dtype), period=np.zeros(5, dtype=dtype), n_jobs=1, cythond=True
@@ -45,7 +45,6 @@ def cast_func(*args, **kwargs):
     assert cast_func(np.zeros(10, dtype=np.int64))[0][0].dtype == np.int64
 
     assert cast_func(np.zeros(10, dtype=np.float16))[0][0].dtype == dii.CYTHON_DTYPE
-    assert cast_func(np.zeros(10, dtype=np.float128))[0][0].dtype == dii.CYTHON_DTYPE
     assert cast_func(np.zeros(10, dtype=np.double))[0][0].dtype == dii.CYTHON_DTYPE
 
     assert cast_func(0, test=np.zeros(10, dtype=np.float16))[0][0] == 0

tests/test_feature_weighting/test_selection.py

@@ -71,7 +71,7 @@ def test_maxk_warning():
     data = rng.random((10, 5))
     feature_selection = FeatureWeighting(data, maxk=3)
 
-    with pytest.warns():
+    with pytest.warns(UserWarning):
         feature_selection.return_dii_gradient(Data(data), weights=np.zeros(5))