mend

tdc/test/dev_tests/utils_tests/test_misc_utils.py

@@ -31,9 +31,9 @@ def test_neg_sample(self):
 
     @unittest.skip("this is a visual test and should only be run locally")
     def test_label_distribution(self):
-       from tdc.single_pred import ADME
-       data = ADME(name='Caco2_Wang')
-       x = data.label_distribution()
+        from tdc.single_pred import ADME
+        data = ADME(name='Caco2_Wang')
+        x = data.label_distribution()
 
     def test_get_label_map(self):
         from tdc.multi_pred import DDI

tdc/test/test_resources.py

@@ -40,7 +40,8 @@ def test_get_gene_metadata(self):
         # assert isinstance(varpyarrow, SparseCOOTensor)
 
     @unittest.skip(
-        "this test takes up too much mem for GH worker but works locally.. skip for now")
+        "this test takes up too much mem for GH worker but works locally.. skip for now"
+    )
     def test_get_measurement_matrix(self):
         Xslice = self.resource.get_measurement_matrix(upper=5,
                                                       lower=0,

tdc/utils/label.py

@@ -222,7 +222,7 @@ def NegSample(df, column_names, frac, two_types):
         neg_list_val = []
         for i in neg_list:
             neg_list_val.append([i[0], id2seq[i[0]], i[1], id2seq[i[1]], 0])
-                
+
         concat_frames = pd.DataFrame(neg_list_val).rename(columns={
             0: id1,
             1: x1,
@@ -280,6 +280,6 @@ def NegSample(df, column_names, frac, two_types):
                 4: "Y"
             })
         ],
-                        ignore_index=True,
-                        sort=False)
+                       ignore_index=True,
+                       sort=False)
         return df