cleanup tests

Author: dcherian

xarray/tests/test_groupby.py

@@ -107,47 +107,36 @@ def test_groupby_input_mutation():
     assert_identical(array, array_copy)  # should not modify inputs
 
 
-def test_da_groupby_map_shrink_groups():
-    array = xr.DataArray([1, 2, 3, 4, 5, 6], [("x", [1, 1, 1, 2, 2, 2])])
-    expected = array.isel(x=[0, 1, 3, 4])
-    actual = array.groupby("x").map(lambda f: f.isel(x=[0, 1]))
-    assert_identical(expected, actual)
-
-
-def test_ds_groupby_map_shrink_groups():
-    dataset = xr.Dataset({"foo": ("x", [1, 2, 3, 4, 5, 6])}, {"x": [1, 1, 1, 2, 2, 2]})
-    expected = dataset.isel(x=[0, 1, 3, 4])
-    actual = dataset.groupby("x").map(lambda f: f.isel(x=[0, 1]))
-    assert_identical(expected, actual)
-
-
-def test_da_groupby_map_change_group_size():
-    array = xr.DataArray([1, 2, 3], [("x", [1, 2, 2])])
-
-    def func(group):
-        if group.sizes["x"] == 1:
-            result = group.isel(x=[0, 0])
-        else:
-            result = group.isel(x=[0])
-        return result
-
-    expected = array.isel(x=[0, 0, 1])
-    actual = array.groupby("x").map(func)
+@pytest.mark.parametrize(
+    "obj",
+    [
+        xr.DataArray([1, 2, 3, 4, 5, 6], [("x", [1, 1, 1, 2, 2, 2])]),
+        xr.Dataset({"foo": ("x", [1, 2, 3, 4, 5, 6])}, {"x": [1, 1, 1, 2, 2, 2]}),
+    ],
+)
+def test_groupby_map_shrink_groups(obj):
+    expected = obj.isel(x=[0, 1, 3, 4])
+    actual = obj.groupby("x").map(lambda f: f.isel(x=[0, 1]))
     assert_identical(expected, actual)
 
 
-def test_ds_groupby_map_change_group_size():
-    dataset = xr.Dataset({"foo": ("x", [1, 2, 3])}, {"x": [1, 2, 2]})
-
+@pytest.mark.parametrize(
+    "obj",
+    [
+        xr.DataArray([1, 2, 3], [("x", [1, 2, 2])]),
+        xr.Dataset({"foo": ("x", [1, 2, 3])}, {"x": [1, 2, 2]}),
+    ],
+)
+def test_ds_groupby_map_change_group_size(obj):
     def func(group):
         if group.sizes["x"] == 1:
             result = group.isel(x=[0, 0])
         else:
             result = group.isel(x=[0])
         return result
 
-    expected = dataset.isel(x=[0, 0, 1])
-    actual = dataset.groupby("x").map(func)
+    expected = obj.isel(x=[0, 0, 1])
+    actual = obj.groupby("x").map(func)
     assert_identical(expected, actual)