From 5a695d99377142abd476244b48aff4e0a30f4b15 Mon Sep 17 00:00:00 2001
From: Debian Science Team <debian-science-maintainers@lists.alioth.debian.org>
Date: Tue, 12 Jan 2021 21:06:04 +0000
Subject: [PATCH] Fix or skip tests that assume the wrong endianness

This is a bug in the tests not pandas itself -
the expected values explicitly specify little-endian

Author: Rebecca N. Palmer <rebecca_palmer@zoho.com>
Forwarded: no


Gbp-Pq: Name tests_dont_assume_endian.patch
---
 pandas/tests/arrays/boolean/test_astype.py       | 3 ++-
 pandas/tests/arrays/boolean/test_construction.py | 3 ++-
 pandas/tests/arrays/integer/test_dtypes.py       | 3 ++-
 pandas/tests/frame/methods/test_to_records.py    | 4 ++++
 pandas/tests/io/parser/test_c_parser_only.py     | 2 +-
 pandas/tests/scalar/timedelta/test_arithmetic.py | 2 +-
 6 files changed, 12 insertions(+), 5 deletions(-)

diff --git a/pandas/tests/arrays/boolean/test_astype.py b/pandas/tests/arrays/boolean/test_astype.py
index 57cec702..fb4c8566 100644
--- a/pandas/tests/arrays/boolean/test_astype.py
+++ b/pandas/tests/arrays/boolean/test_astype.py
@@ -3,6 +3,7 @@ import pytest
 
 import pandas as pd
 import pandas._testing as tm
+from pandas.compat import is_platform_little_endian
 
 
 def test_astype():
@@ -20,7 +21,7 @@ def test_astype():
     tm.assert_numpy_array_equal(result, expected)
 
     result = arr.astype("str")
-    expected = np.array(["True", "False", "<NA>"], dtype="<U5")
+    expected = np.array(["True", "False", "<NA>"], dtype="<U5" if is_platform_little_endian() else ">U5")
     tm.assert_numpy_array_equal(result, expected)
 
     # no missing values
diff --git a/pandas/tests/arrays/boolean/test_construction.py b/pandas/tests/arrays/boolean/test_construction.py
index 2f5c6130..106dc355 100644
--- a/pandas/tests/arrays/boolean/test_construction.py
+++ b/pandas/tests/arrays/boolean/test_construction.py
@@ -5,6 +5,7 @@ import pandas as pd
 import pandas._testing as tm
 from pandas.arrays import BooleanArray
 from pandas.core.arrays.boolean import coerce_to_array
+from pandas.compat import is_platform_little_endian
 
 
 @pytest.fixture
@@ -278,7 +279,7 @@ def test_to_numpy(box):
 
     arr = con([True, False, None], dtype="boolean")
     result = arr.to_numpy(dtype="str")
-    expected = np.array([True, False, pd.NA], dtype="<U5")
+    expected = np.array([True, False, pd.NA], dtype="<U5" if is_platform_little_endian() else ">U5")
     tm.assert_numpy_array_equal(result, expected)
 
     # no missing values -> can convert to bool, otherwise raises
diff --git a/pandas/tests/arrays/integer/test_dtypes.py b/pandas/tests/arrays/integer/test_dtypes.py
index 67efa4cb..914dfe71 100644
--- a/pandas/tests/arrays/integer/test_dtypes.py
+++ b/pandas/tests/arrays/integer/test_dtypes.py
@@ -2,6 +2,7 @@ import numpy as np
 import pytest
 
 from pandas.core.dtypes.generic import ABCIndexClass
+from pandas.compat import is_platform_little_endian
 
 import pandas as pd
 import pandas._testing as tm
@@ -275,7 +276,7 @@ def test_to_numpy_na_raises(dtype):
 
 def test_astype_str():
     a = pd.array([1, 2, None], dtype="Int64")
-    expected = np.array(["1", "2", "<NA>"], dtype="<U21")
+    expected = np.array(["1", "2", "<NA>"], dtype="<U21" if is_platform_little_endian() else ">U21")
 
     tm.assert_numpy_array_equal(a.astype(str), expected)
     tm.assert_numpy_array_equal(a.astype("str"), expected)
diff --git a/pandas/tests/frame/methods/test_to_records.py b/pandas/tests/frame/methods/test_to_records.py
index d9c999c9..14777117 100644
--- a/pandas/tests/frame/methods/test_to_records.py
+++ b/pandas/tests/frame/methods/test_to_records.py
@@ -12,6 +12,7 @@ from pandas import (
     date_range,
 )
 import pandas._testing as tm
+from pandas.compat import is_platform_little_endian
 
 
 class TestDataFrameToRecords:
@@ -257,6 +258,7 @@ class TestDataFrameToRecords:
             ),
         ],
     )
+    @pytest.mark.xfail(condition=not is_platform_little_endian(),reason="expected values assume little-endian",strict=False)
     def test_to_records_dtype(self, kwargs, expected):
         # see GH#18146
         df = DataFrame({"A": [1, 2], "B": [0.2, 1.5], "C": ["a", "bc"]})
@@ -330,11 +332,13 @@ class TestDataFrameToRecords:
             ),
         ],
     )
+    @pytest.mark.xfail(condition=not is_platform_little_endian(),reason="expected values assume little-endian",strict=False)
     def test_to_records_dtype_mi(self, df, kwargs, expected):
         # see GH#18146
         result = df.to_records(**kwargs)
         tm.assert_almost_equal(result, expected)
 
+    @pytest.mark.xfail(condition=not is_platform_little_endian(),reason="expected values assume little-endian",strict=False)
     def test_to_records_dict_like(self):
         # see GH#18146
         class DictLike:
diff --git a/pandas/tests/io/parser/test_c_parser_only.py b/pandas/tests/io/parser/test_c_parser_only.py
index d76d0190..fb9b0b3f 100644
--- a/pandas/tests/io/parser/test_c_parser_only.py
+++ b/pandas/tests/io/parser/test_c_parser_only.py
@@ -129,7 +129,7 @@ nan 2
             "the dtype timedelta64 is not supported for parsing",
             dict(dtype={"A": "timedelta64", "B": "float64"}),
         ),
-        ("the dtype <U8 is not supported for parsing", dict(dtype={"A": "U8"})),
+        ("the dtype [<>]U8 is not supported for parsing", dict(dtype={"A": "U8"})),
     ],
     ids=["dt64-0", "dt64-1", "td64", "<U8"],
 )
diff --git a/pandas/tests/scalar/timedelta/test_arithmetic.py b/pandas/tests/scalar/timedelta/test_arithmetic.py
index 27577667..304b3d72 100644
--- a/pandas/tests/scalar/timedelta/test_arithmetic.py
+++ b/pandas/tests/scalar/timedelta/test_arithmetic.py
@@ -285,7 +285,7 @@ class TestTimedeltaAdditionSubtraction:
         tm.assert_numpy_array_equal(np.array([2]) * td, expected)
         msg = (
             "ufunc '?multiply'? cannot use operands with types "
-            r"dtype\('<m8\[ns\]'\) and dtype\('<m8\[ns\]'\)"
+            r"dtype\('[<>]m8\[ns\]'\) and dtype\('[<>]m8\[ns\]'\)"
         )
         with pytest.raises(TypeError, match=msg):
             td * other
-- 
2.30.2