Revert "CI: Skip numpy dev failing tests (pandas-dev#39090)" (pandas-dev#39225)

This reverts commit 3bd3d1e

Author: phofl

pandas/compat/__init__.py

@@ -12,7 +12,6 @@
 import warnings
 
 from pandas._typing import F
-from pandas.compat.numpy import is_numpy_dev
 
 PY38 = sys.version_info >= (3, 8)
 PY39 = sys.version_info >= (3, 9)
@@ -119,8 +118,3 @@ def get_lzma_file(lzma):
             "might be required to solve this issue."
         )
     return lzma.LZMAFile
-
-
-__all__ = [
-    "is_numpy_dev",
-]

pandas/tests/arithmetic/test_interval.py

@@ -3,8 +3,6 @@
 import numpy as np
 import pytest
 
-from pandas.compat import is_numpy_dev
-
 from pandas.core.dtypes.common import is_list_like
 
 import pandas as pd
@@ -254,7 +252,6 @@ def test_compare_length_mismatch_errors(self, op, other_constructor, length):
         with pytest.raises(ValueError, match="Lengths must match to compare"):
             op(array, other)
 
-    @pytest.mark.xfail(is_numpy_dev, reason="GH#39089 Numpy changed dtype inference")
     @pytest.mark.parametrize(
         "constructor, expected_type, assert_func",
         [

pandas/tests/base/test_misc.py

@@ -3,7 +3,7 @@
 import numpy as np
 import pytest
 
-from pandas.compat import IS64, PYPY, is_numpy_dev
+from pandas.compat import IS64, PYPY
 
 from pandas.core.dtypes.common import is_categorical_dtype, is_object_dtype
 
@@ -116,9 +116,6 @@ def test_searchsorted(index_or_series_obj):
         # See gh-14833
         pytest.skip("np.searchsorted doesn't work on pd.MultiIndex")
 
-    if is_object_dtype(obj) and is_numpy_dev:
-        pytest.skip("GH#39089 Numpy changed dtype inference")
-
     max_obj = max(obj, default=0)
     index = np.searchsorted(obj, max_obj)
     assert 0 <= index <= len(obj)

pandas/tests/extension/base/methods.py

@@ -3,8 +3,6 @@
 import numpy as np
 import pytest
 
-from pandas.compat import is_numpy_dev
-
 from pandas.core.dtypes.common import is_bool_dtype
 
 import pandas as pd
@@ -394,9 +392,6 @@ def test_hash_pandas_object_works(self, data, as_frame):
         b = pd.util.hash_pandas_object(data)
         self.assert_equal(a, b)
 
-    @pytest.mark.xfail(
-        is_numpy_dev, reason="GH#39089 Numpy changed dtype inference", strict=False
-    )
     def test_searchsorted(self, data_for_sorting, as_series):
         b, c, a = data_for_sorting
         arr = data_for_sorting.take([2, 0, 1])  # to get [a, b, c]

pandas/tests/frame/apply/test_frame_apply.py

@@ -5,8 +5,6 @@
 import numpy as np
 import pytest
 
-from pandas.compat import is_numpy_dev
-
 from pandas.core.dtypes.dtypes import CategoricalDtype
 
 import pandas as pd
@@ -592,7 +590,6 @@ def test_apply_dict(self):
             tm.assert_frame_equal(reduce_false, df)
             tm.assert_series_equal(reduce_none, dicts)
 
-    @pytest.mark.xfail(is_numpy_dev, reason="GH#39089 Numpy changed dtype inference")
     def test_applymap(self, float_frame):
         applied = float_frame.applymap(lambda x: x * 2)
         tm.assert_frame_equal(applied, float_frame * 2)

pandas/tests/frame/indexing/test_indexing.py

@@ -5,7 +5,6 @@
 import pytest
 
 from pandas._libs import iNaT
-from pandas.compat import is_numpy_dev
 
 from pandas.core.dtypes.common import is_integer
 
@@ -255,8 +254,6 @@ def inc(x):
     )
     def test_setitem_same_column(self, cols, values, expected):
         # GH 23239
-        if cols == ["C", "D", "D", "a"] and is_numpy_dev:
-            pytest.skip("GH#39089 Numpy changed dtype inference")
         df = DataFrame([values], columns=cols)
         df["a"] = df["a"]
         result = df["a"].values[0]

pandas/tests/frame/methods/test_drop.py

@@ -3,7 +3,6 @@
 import numpy as np
 import pytest
 
-from pandas.compat import is_numpy_dev
 from pandas.errors import PerformanceWarning
 import pandas.util._test_decorators as td
 
@@ -109,7 +108,6 @@ def test_drop_names(self):
         expected = Index(["a", "b", "c"], name="first")
         tm.assert_index_equal(dropped.index, expected)
 
-    @pytest.mark.xfail(is_numpy_dev, reason="GH#39089 Numpy changed dtype inference")
     def test_drop(self):
         simple = DataFrame({"A": [1, 2, 3, 4], "B": [0, 1, 2, 3]})
         tm.assert_frame_equal(simple.drop("A", axis=1), simple[["B"]])

pandas/tests/frame/methods/test_isin.py

@@ -1,8 +1,6 @@
 import numpy as np
 import pytest
 
-from pandas.compat import is_numpy_dev
-
 import pandas as pd
 from pandas import DataFrame, MultiIndex, Series
 import pandas._testing as tm
@@ -34,7 +32,6 @@ def test_isin_empty(self, empty):
         result = df.isin(empty)
         tm.assert_frame_equal(result, expected)
 
-    @pytest.mark.xfail(is_numpy_dev, reason="GH#39089 Numpy changed dtype inference")
     def test_isin_dict(self):
         df = DataFrame({"A": ["a", "b", "c"], "B": ["a", "e", "f"]})
         d = {"A": ["a"]}

pandas/tests/frame/methods/test_replace.py

@@ -6,8 +6,6 @@
 import numpy as np
 import pytest
 
-from pandas.compat import is_numpy_dev
-
 import pandas as pd
 from pandas import DataFrame, Index, Series, Timestamp, date_range
 import pandas._testing as tm
@@ -1510,7 +1508,6 @@ def test_replace_no_replacement_dtypes(self, dtype, value):
         result = df.replace(to_replace=[None, -np.inf, np.inf], value=value)
         tm.assert_frame_equal(result, df)
 
-    @pytest.mark.xfail(is_numpy_dev, reason="GH#39089 Numpy changed dtype inference")
     @pytest.mark.parametrize("replacement", [np.nan, 5])
     def test_replace_with_duplicate_columns(self, replacement):
         # GH 24798

pandas/tests/frame/methods/test_to_csv.py

@@ -5,7 +5,6 @@
 import numpy as np
 import pytest
 
-from pandas.compat import is_numpy_dev
 from pandas.errors import ParserError
 
 import pandas as pd
@@ -182,7 +181,6 @@ def test_to_csv_cols_reordering(self):
 
         tm.assert_frame_equal(df[cols], rs_c, check_names=False)
 
-    @pytest.mark.xfail(is_numpy_dev, reason="GH#39089 Numpy changed dtype inference")
     def test_to_csv_new_dupe_cols(self):
         import pandas as pd