tests fixed

Author: gykovacs

mlscorecheck/aggregated/_generate_problems.py

@@ -437,7 +437,7 @@ def generate_dataset_folding_multiclass(
 
     # if aggregation == 'som':
     scores = calculate_multiclass_scores(
-        np.sum(np.ndarray(samples), axis=0),
+        np.sum(np.array(samples), axis=0),
         average=average,
         additional_symbols={"beta_positive": 2, "beta_negative": 2},
         rounding_decimals=rounding_decimals,

tests/individual/test_problem_generator.py

@@ -103,4 +103,4 @@ def test_sample_multiclass_dataset(random_seed):
     assert len(dataset) == len(sample)
     sums = np.sum(sample, axis=1)
 
-    assert np.all(sums == np.ndarray(list(dataset.values())))
+    assert np.all(sums == np.array(list(dataset.values())))

tests/individual/test_tptn_solutions.py

@@ -65,7 +65,7 @@ def test_tptn_solutions(figure: str, score: str, zeros: list, random_state: int)
     ):
         return
 
-    val = np.ndarray(val)
+    val = np.array(val)
     assert np.any(np.abs(evaluation[figure] - val) < 1e-8)
 
 
@@ -116,7 +116,7 @@ def test_tptn_solutions_failure(figure: str, score: str, random_state: int):
                 assert True
                 return
 
-            val = np.ndarray(val)
+            val = np.array(val)
             assert np.all(np.abs(evaluation[figure] - val) > 1e-8)
 
     scores[score] = 0

tests/scores/test_calculate_scores.py

@@ -46,7 +46,7 @@ def test_calculate_multiclass_scores(average):
     Args:
         average (str): the mode of averaging
     """
-    confm = np.ndarray([[5, 8, 3], [3, 10, 2], [2, 4, 11]])
+    confm = np.array([[5, 8, 3], [3, 10, 2], [2, 4, 11]])
     scores = calculate_multiclass_scores(
         confusion_matrix=confm,
         additional_symbols={"beta_positive": 2, "beta_negative": 2},