fixup tests

Author: jorisvandenbossche

pandas/tests/arrays/masked/test_indexing.py

@@ -8,7 +8,7 @@
 
 class TestSetitemValidation:
     def _check_setitem_invalid(self, arr, invalid):
-        msg = f"Invalid value '{invalid!s}' for dtype {arr.dtype}"
+        msg = f"Invalid value '{invalid!s}' for dtype '{arr.dtype}'"
         msg = re.escape(msg)
         with pytest.raises(TypeError, match=msg):
             arr[0] = invalid

pandas/tests/frame/indexing/test_indexing.py

@@ -1274,7 +1274,7 @@ def test_setting_mismatched_na_into_nullable_fails(
                 r"timedelta64\[ns\] cannot be converted to (Floating|Integer)Dtype",
                 r"datetime64\[ns\] cannot be converted to (Floating|Integer)Dtype",
                 "'values' contains non-numeric NA",
-                r"Invalid value '.*' for dtype (U?Int|Float)\d{1,2}",
+                r"Invalid value '.*' for dtype '(U?Int|Float)\d{1,2}'",
             ]
         )
         with pytest.raises(TypeError, match=msg):

pandas/tests/frame/indexing/test_where.py

@@ -931,7 +931,7 @@ def test_where_nullable_invalid_na(frame_or_series, any_numeric_ea_dtype):
 
     mask = np.array([True, True, False], ndmin=obj.ndim).T
 
-    msg = r"Invalid value '.*' for dtype (U?Int|Float)\d{1,2}"
+    msg = r"Invalid value '.*' for dtype '(U?Int|Float)\d{1,2}'"
 
     for null in tm.NP_NAT_OBJECTS + [pd.NaT]:
         # NaT is an NA value that we should *not* cast to pd.NA dtype

pandas/tests/indexing/test_loc.py

@@ -1230,7 +1230,7 @@ def test_loc_setitem_str_to_small_float_conversion_type(self, using_infer_string
         # assigning with loc/iloc attempts to set the values inplace, which
         #  in this case is successful
         if using_infer_string:
-            with pytest.raises(TypeError, match="Must provide strings"):
+            with pytest.raises(TypeError, match="Invalid value"):
                 result.loc[result.index, "A"] = [float(x) for x in col_data]
         else:
             result.loc[result.index, "A"] = [float(x) for x in col_data]