BUG: pandas int extension dtypes has no attribute byteorder (pandas-dev#57173)

* support nullable integers in from_dataframe

* gh issue number

* use BaseMaskedDtype

* only skip if int8[pyarrow]

(cherry picked from commit 0fd7176)

Author: MarcoGorelli

pandas/tests/interchange/test_impl.py

@@ -380,30 +380,6 @@ def test_large_string():
     tm.assert_frame_equal(result, expected)
 
 
-def test_non_str_names():
-    # https://github.com/pandas-dev/pandas/issues/56701
-    df = pd.Series([1, 2, 3], name=0).to_frame()
-    names = df.__dataframe__().column_names()
-    assert names == ["0"]
-
-
-def test_non_str_names_w_duplicates():
-    # https://github.com/pandas-dev/pandas/issues/56701
-    df = pd.DataFrame({"0": [1, 2, 3], 0: [4, 5, 6]})
-    dfi = df.__dataframe__()
-    with pytest.raises(
-        TypeError,
-        match=(
-            "Expected a Series, got a DataFrame. This likely happened because you "
-            "called __dataframe__ on a DataFrame which, after converting column "
-            r"names to string, resulted in duplicated names: Index\(\['0', '0'\], "
-            r"dtype='object'\). Please rename these columns before using the "
-            "interchange protocol."
-        ),
-    ):
-        pd.api.interchange.from_dataframe(dfi, allow_copy=False)
-
-
 @pytest.mark.parametrize(
     "dtype", ["Int8", pytest.param("Int8[pyarrow]", marks=td.skip_if_no("pyarrow"))]
 )