TST: Fix test_str_encode on big endian machines (pandas-dev#57394)

I couldn't find a way to specify the endianness when creating the
`ArrowDtype`, so just pick the right result based on native byte order.

Author: QuLogic

pandas/tests/extension/test_arrow.py

@@ -26,6 +26,7 @@
 import operator
 import pickle
 import re
+import sys
 
 import numpy as np
 import pytest
@@ -2172,14 +2173,21 @@ def test_str_removeprefix(val):
 @pytest.mark.parametrize(
     "encoding, exp",
     [
-        ["utf8", b"abc"],
-        ["utf32", b"\xff\xfe\x00\x00a\x00\x00\x00b\x00\x00\x00c\x00\x00\x00"],
+        ("utf8", {"little": b"abc", "big": "abc"}),
+        (
+            "utf32",
+            {
+                "little": b"\xff\xfe\x00\x00a\x00\x00\x00b\x00\x00\x00c\x00\x00\x00",
+                "big": b"\x00\x00\xfe\xff\x00\x00\x00a\x00\x00\x00b\x00\x00\x00c",
+            },
+        ),
     ],
+    ids=["utf8", "utf32"],
 )
 def test_str_encode(errors, encoding, exp):
     ser = pd.Series(["abc", None], dtype=ArrowDtype(pa.string()))
     result = ser.str.encode(encoding, errors)
-    expected = pd.Series([exp, None], dtype=ArrowDtype(pa.binary()))
+    expected = pd.Series([exp[sys.byteorder], None], dtype=ArrowDtype(pa.binary()))
     tm.assert_series_equal(result, expected)