Update tests for dataset

Author: mgunyho

xarray/tests/test_dataset.py

@@ -1142,7 +1142,12 @@ def get_dask_names(ds):
         for k, v in new_dask_names.items():
             assert v == orig_dask_names[k]
 
-        with pytest.raises(ValueError, match=r"some chunks"):
+        with pytest.raises(
+            ValueError,
+            match=re.escape(
+                "chunks keys ('foo',) not found in dataset dimensions ('dim2', 'dim3', 'time', 'dim1')"
+            ),
+        ):
             data.chunk({"foo": 10})
 
     @requires_dask
@@ -3650,7 +3655,12 @@ def test_unstack(self) -> None:
 
     def test_unstack_errors(self) -> None:
         ds = Dataset({"x": [1, 2, 3]})
-        with pytest.raises(ValueError, match=r"does not contain the dimensions"):
+        with pytest.raises(
+            ValueError,
+            match=re.escape(
+                "Dimensions ('foo',) not found in dataset dimensions ('x',)"
+            ),
+        ):
             ds.unstack("foo")
         with pytest.raises(ValueError, match=r".*do not have exactly one multi-index"):
             ds.unstack("x")
@@ -5496,7 +5506,12 @@ def test_rank(self) -> None:
         assert list(z.coords) == list(ds.coords)
         assert list(x.coords) == list(y.coords)
         # invalid dim
-        with pytest.raises(ValueError, match=r"does not contain"):
+        with pytest.raises(
+            ValueError,
+            match=re.escape(
+                "Dimension 'invalid_dim' not found in dataset dimensions ('dim3', 'dim1')"
+            ),
+        ):
             x.rank("invalid_dim")
 
     def test_rank_use_bottleneck(self) -> None:
@@ -7029,7 +7044,12 @@ def test_drop_duplicates_1d(self, keep) -> None:
         result = ds.drop_duplicates("time", keep=keep)
         assert_equal(expected, result)
 
-        with pytest.raises(ValueError, match="['space'] not found"):
+        with pytest.raises(
+            ValueError,
+            match=re.escape(
+                "Dimensions ('space',) not found in dataset dimensions ('time',)"
+            ),
+        ):
             ds.drop_duplicates("space", keep=keep)