TST: #1451 propagate upstream fixes (#1516)

fix: propagate pandas-dev/pandas#61368 pandas-dev/pandas#63186

Author: cmp0xff

tests/series/test_series.py

@@ -14,7 +14,6 @@
 from pathlib import Path
 import platform
 import re
-import sys
 from typing import (
     TYPE_CHECKING,
     Any,
@@ -3214,9 +3213,6 @@ def test_rank() -> None:
     )
 
 
-@pytest.mark.xfail(
-    sys.version_info >= (3, 14), reason="sys.getrefcount pandas-dev/pandas#61368"
-)
 def test_series_setitem_multiindex() -> None:
     # GH 767
     df = (

tests/test_api_typing.py

@@ -1,6 +1,5 @@
 """Test module for classes in pandas.api.typing."""
 
-import sys
 from typing import TypeAlias
 
 import numpy as np
@@ -205,9 +204,6 @@ def f1(gb: Window) -> None:
     f1(ser.rolling(2, win_type="gaussian"))
 
 
-@pytest.mark.xfail(
-    sys.version_info >= (3, 14), reason="sys.getrefcount pandas-dev/pandas#61368"
-)
 def test_statereader() -> None:
     df = pd.DataFrame([[1, 2], [3, 4]], columns=["col_1", "col_2"])
     time_stamp = pd.Timestamp(2000, 2, 29, 14, 21)

tests/test_frame.py

@@ -390,9 +390,6 @@ def test_types_assign() -> None:
     check(assert_type(df.assign(a=[], b=()), pd.DataFrame), pd.DataFrame)
 
 
-@pytest.mark.xfail(
-    sys.version_info >= (3, 14), reason="sys.getrefcount pandas-dev/pandas#61368"
-)
 def test_assign() -> None:
     df = pd.DataFrame({"a": [1, 2, 3], 1: [4, 5, 6]})
 
@@ -2864,9 +2861,6 @@ def test_indexslice_setitem() -> None:
     df.loc[pd.IndexSlice[pd.Index([2, 3]), :], "z"] = 99
 
 
-@pytest.mark.xfail(
-    sys.version_info >= (3, 14), reason="sys.getrefcount pandas-dev/pandas#61368"
-)
 def test_indexslice_getitem() -> None:
     # GH 300
     df = (
@@ -4506,9 +4500,6 @@ def test_getitem_dict_keys() -> None:
     check(assert_type(df[some_columns.keys()], pd.DataFrame), pd.DataFrame)
 
 
-@pytest.mark.xfail(
-    sys.version_info >= (3, 14), reason="sys.getrefcount pandas-dev/pandas#61368"
-)
 def test_frame_setitem_na() -> None:
     # GH 743
     df = pd.DataFrame(
@@ -4639,9 +4630,6 @@ def _constructor(self) -> type[MyClass]:
     check(assert_type(df[["a", "b"]], MyClass), MyClass)
 
 
-@pytest.mark.xfail(
-    sys.version_info >= (3, 14), reason="sys.getrefcount pandas-dev/pandas#61368"
-)
 def test_hashable_args() -> None:
     # GH 1104
     df = pd.DataFrame([["abc"]], columns=["test"], index=["ind"])

tests/test_io.py

@@ -6,7 +6,6 @@
 import pathlib
 from pathlib import Path
 import sqlite3
-import sys
 from typing import (
     TYPE_CHECKING,
     Any,
@@ -175,18 +174,12 @@ def test_to_pickle_series() -> None:
         check(assert_type(read_pickle(path), Any), Series)
 
 
-@pytest.mark.xfail(
-    sys.version_info >= (3, 14), reason="sys.getrefcount pandas-dev/pandas#61368"
-)
 def test_read_stata_df() -> None:
     with ensure_clean() as path:
         DF.to_stata(path)
         check(assert_type(read_stata(path), pd.DataFrame), pd.DataFrame)
 
 
-@pytest.mark.xfail(
-    sys.version_info >= (3, 14), reason="sys.getrefcount pandas-dev/pandas#61368"
-)
 def test_read_stata_iterator() -> None:
     with ensure_clean() as path:
         str_path = str(path)

tests/test_pandas.py

@@ -2,7 +2,6 @@
 
 import datetime as dt
 import random
-import sys
 from typing import (
     TYPE_CHECKING,
     Any,
@@ -795,9 +794,6 @@ def test_to_numeric_array_series() -> None:
     )
 
 
-@pytest.mark.xfail(
-    sys.version_info >= (3, 14), reason="sys.getrefcount pandas-dev/pandas#61368"
-)
 def test_wide_to_long() -> None:
     df = pd.DataFrame(
         {
@@ -1141,9 +1137,6 @@ def test_qcut() -> None:
     check(assert_type(j1, np_1darray_float), np_1darray, np.floating)
 
 
-@pytest.mark.xfail(
-    sys.version_info >= (3, 14), reason="sys.getrefcount pandas-dev/pandas#61368"
-)
 def test_merge() -> None:
     ls = pd.Series([1, 2, 3, 4], index=[1, 2, 3, 4], name="left")
     rs = pd.Series([3, 4, 5, 6], index=[3, 4, 5, 6], name="right")
@@ -1306,9 +1299,6 @@ def test_merge() -> None:
     )
 
 
-@pytest.mark.xfail(
-    sys.version_info >= (3, 14), reason="sys.getrefcount pandas-dev/pandas#61368"
-)
 def test_merge_ordered() -> None:
     ls = pd.Series([1, 2, 3, 4], index=[1, 2, 3, 4], name="left")
     rs = pd.Series([3, 4, 5, 6], index=[3, 4, 5, 6], name="right")