go for green

Author: lithomas1

ci/deps/circle-310-arm64.yaml

@@ -22,7 +22,7 @@ dependencies:
   - python-dateutil
   - numpy
   # pytz 2024.2 timezones cause wrong results
-  - pytz
+  - pytz < 2024.2
 
   # optional dependencies
   - beautifulsoup4>=4.11.2

pandas/tests/indexes/interval/test_interval_tree.py

@@ -190,7 +190,6 @@ def test_construction_overflow(self):
         expected = (50 + np.iinfo(np.int64).max) / 2
         assert result == expected
 
-    @pytest.mark.xfail(not IS64, reason="GH 23440")
     @pytest.mark.parametrize(
         "left, right, expected",
         [

pandas/tests/indexing/interval/test_interval.py

@@ -2,7 +2,6 @@
 import pytest
 
 from pandas._libs import index as libindex
-from pandas.compat import IS64
 
 import pandas as pd
 from pandas import (
@@ -210,7 +209,6 @@ def test_mi_intervalindex_slicing_with_scalar(self):
         expected = Series([1, 6, 2, 8, 7], index=expected_index, name="value")
         tm.assert_series_equal(result, expected)
 
-    @pytest.mark.xfail(not IS64, reason="GH 23440")
     @pytest.mark.parametrize(
         "base",
         [101, 1010],

pandas/tests/indexing/interval/test_interval_new.py

@@ -3,8 +3,6 @@
 import numpy as np
 import pytest
 
-from pandas.compat import IS64
-
 from pandas import (
     Index,
     Interval,
@@ -211,7 +209,6 @@ def test_loc_getitem_missing_key_error_message(
             obj.loc[[4, 5, 6]]
 
 
-@pytest.mark.xfail(not IS64, reason="GH 23440")
 @pytest.mark.parametrize(
     "intervals",
     [

pandas/tests/io/test_parquet.py

@@ -16,7 +16,6 @@
     pa_version_under11p0,
     pa_version_under13p0,
     pa_version_under15p0,
-    pa_version_under17p0,
 )
 
 import pandas as pd
@@ -449,12 +448,8 @@ def test_read_filters(self, engine, tmp_path):
             repeat=1,
         )
 
-    def test_write_index(self, engine, using_copy_on_write, request):
+    def test_write_index(self, engine):
         check_names = engine != "fastparquet"
-        if using_copy_on_write and engine == "fastparquet":
-            request.applymarker(
-                pytest.mark.xfail(reason="fastparquet write into index")
-            )
 
         df = pd.DataFrame({"A": [1, 2, 3]})
         check_round_trip(df, engine)
@@ -1064,9 +1059,6 @@ def test_read_dtype_backend_pyarrow_config_index(self, pa):
             expected=expected,
         )
 
-    @pytest.mark.xfail(
-        pa_version_under17p0, reason="pa.pandas_compat passes 'datetime64' to .astype"
-    )
     def test_columns_dtypes_not_invalid(self, pa):
         df = pd.DataFrame({"string": list("abc"), "int": list(range(1, 4))})
 
@@ -1315,9 +1307,7 @@ def test_empty_dataframe(self, fp):
         check_round_trip(df, fp, expected=expected)
 
     @pytest.mark.xfail(
-        not using_copy_on_write()
-        and _HAVE_FASTPARQUET
-        and Version(fastparquet.__version__) > Version("2022.12"),
+        _HAVE_FASTPARQUET and Version(fastparquet.__version__) > Version("2022.12"),
         reason="fastparquet bug, see https://github.com/dask/fastparquet/issues/929",
     )
     def test_timezone_aware_index(self, fp, timezone_aware_date_list):

pandas/tests/series/indexing/test_setitem.py

@@ -8,7 +8,10 @@
 import numpy as np
 import pytest
 
-from pandas.compat.numpy import np_version_gte1p24
+from pandas.compat.numpy import (
+    np_version_gt2,
+    np_version_gte1p24,
+)
 from pandas.errors import IndexingError
 
 from pandas.core.dtypes.common import is_list_like
@@ -1446,7 +1449,8 @@ def obj(self):
                     not np_version_gte1p24
                     or (
                         np_version_gte1p24
-                        and os.environ.get("NPY_PROMOTION_STATE", "weak") != "weak"
+                        and not np_version_gt2
+                        and os.environ.get("NPY_PROMOTION_STATE", "legacy") != "weak"
                     )
                 ),
                 reason="np.float32(1.1) ends up as 1.100000023841858, so "