Fix tests

Author: AndrejaKovacic

Orange/tests/test_preprocess.py

@@ -14,7 +14,7 @@
     SelectRandomFeatures, EqualFreq, RemoveNaNColumns, DropInstances, \
     EqualWidth, SelectBestFeatures, RemoveNaNRows, Preprocess, Scale, \
     Randomize, Continuize, Discretize, Impute, SklImpute, Normalize, \
-    ProjectCUR, ProjectPCA, RemoveConstant, SmartNormalize
+    ProjectCUR, ProjectPCA, RemoveConstant, AdaptiveNormalize
 from Orange.util import OrangeDeprecationWarning
 
 
@@ -168,7 +168,7 @@ def test_scaling_pickling(self):
         self.assertIs(c1.scale, c.scale)
 
 
-class TestSmartNormalize(unittest.TestCase):
+class TestAdaptiveNormalize(unittest.TestCase):
     """
     Checks if output for sparse data is the same as for Scale
     preprocessor. For dense data the output should match that
@@ -180,12 +180,12 @@ def setUp(self):
 
     def test_dense_pps(self):
         true_out = Normalize()(self.data)
-        out = SmartNormalize()(self.data)
+        out = AdaptiveNormalize()(self.data)
         np.testing.assert_array_equal(out, true_out)
 
     def test_sparse_pps(self):
         self.data.X = csr_matrix(self.data.X)
-        out = SmartNormalize()(self.data)
-        true_out = Scale(center=Scale.NoCentering)(self.data)
+        out = AdaptiveNormalize()(self.data)
+        true_out = Scale(center=Scale.NoCentering, scale=Scale.Span)(self.data)
         np.testing.assert_array_equal(out, true_out)
         self.data = self.data.X.toarray()