CI: numpydev changed double to single quote

pandas/tests/dtypes/test_common.py

@@ -668,7 +668,8 @@ def test__get_dtype(input_param, result):
         (None, "Cannot deduce dtype from null object"),
         (1, "data type not understood"),
         (1.2, "data type not understood"),
-        ("random string", 'data type "random string" not understood'),
+        # numpy dev changed from double-quotes to single quotes
+        ("random string", "data type [\"']random string[\"'] not understood"),
         (pd.DataFrame([1, 2]), "data type not understood"),
     ],
 )

pandas/tests/frame/methods/test_to_records.py

@@ -235,7 +235,7 @@ def test_to_records_with_categorical(self):
             # Check that bad types raise
             (
                 dict(index=False, column_dtypes={"A": "int32", "B": "foo"}),
-                (TypeError, 'data type "foo" not understood'),
+                (TypeError, "data type [\"']foo[\"'] not understood"),
             ),
         ],
     )

pandas/tests/indexes/interval/test_astype.py

@@ -67,7 +67,7 @@ def test_astype_cannot_cast(self, index, dtype):
             index.astype(dtype)
 
     def test_astype_invalid_dtype(self, index):
-        msg = 'data type "fake_dtype" not understood'
+        msg = "data type [\"']fake_dtype[\"'] not understood"
         with pytest.raises(TypeError, match=msg):
             index.astype("fake_dtype")
 

pandas/tests/indexes/interval/test_constructors.py

@@ -164,7 +164,7 @@ def test_generic_errors(self, constructor):
             constructor(dtype="int64", **filler)
 
         # invalid dtype
-        msg = 'data type "invalid" not understood'
+        msg = "data type [\"']invalid[\"'] not understood"
         with pytest.raises(TypeError, match=msg):
             constructor(dtype="invalid", **filler)
 

pandas/tests/io/parser/test_dtypes.py

@@ -79,7 +79,7 @@ def test_invalid_dtype_per_column(all_parsers):
 3,4.5
 4,5.5"""
 
-    with pytest.raises(TypeError, match='data type "foo" not understood'):
+    with pytest.raises(TypeError, match="data type [\"']foo[\"'] not understood"):
         parser.read_csv(StringIO(data), dtype={"one": "foo", 1: "int"})