ran black

Author: AlexeyGy

pandas/tests/groupby/test_libgroupby.py

@@ -25,8 +25,8 @@ def test_group_var_generic_1d(self):
         labels = np.tile(np.arange(5), (3,)).astype("intp")
 
         expected_out = (
-                               np.squeeze(values).reshape((5, 3), order="F").std(axis=1, ddof=1) ** 2
-                       )[:, np.newaxis]
+            np.squeeze(values).reshape((5, 3), order="F").std(axis=1, ddof=1) ** 2
+        )[:, np.newaxis]
         expected_counts = counts + 3
 
         self.algo(out, counts, values, labels)
@@ -246,8 +246,8 @@ def test_cython_group_mean_datetimelike():
             [np.timedelta64(2, "ns"), np.timedelta64(4, "ns"), np.timedelta64("NaT")],
             dtype="m8[ns]",
         )[:, None]
-            .view("int64")
-            .astype("float64")
+        .view("int64")
+        .astype("float64")
     )
     labels = np.zeros(len(data), dtype=np.intp)
 
@@ -274,8 +274,8 @@ def test_cython_group_mean_not_datetimelike_but_has_NaT_values():
             [np.timedelta64("NaT"), np.timedelta64("NaT")],
             dtype="m8[ns]",
         )[:, None]
-            .view("int64")
-            .astype("float64")
+        .view("int64")
+        .astype("float64")
     )
     labels = np.zeros(len(data), dtype=np.intp)