GH1379 PR feedback

Author: loicdiridollou

pandas-stubs/core/series.pyi

@@ -4689,6 +4689,22 @@ class Series(IndexOpsMixin[S1], NDFrame):
         **kwargs,
     ) -> np_1darray[np.bytes_]: ...
     @overload
+    def to_numpy(
+        self: Series[DateOffset],
+        dtype: None = None,
+        copy: bool = False,
+        na_value: Scalar = ...,
+        **kwargs,
+    ) -> np_1darray[np.object_]: ...
+    @overload
+    def to_numpy(
+        self: Series[DateOffset],
+        dtype: type[np.bytes_],
+        copy: bool = False,
+        na_value: Scalar = ...,
+        **kwargs,
+    ) -> np_1darray[np.bytes_]: ...
+    @overload
     def to_numpy(  # pyright: ignore[reportIncompatibleMethodOverride]
         self,
         dtype: DTypeLike | None = None,

pyproject.toml

@@ -65,7 +65,7 @@ scipy = { version = ">=1.9.1", python = "<3.14" }
 scipy-stubs = ">=1.15.3.0"
 SQLAlchemy = ">=2.0.39"
 types-python-dateutil = ">=2.8.19"
-beautifulsoup4 = ">=4.13.5"
+beautifulsoup4 = ">=4.14.2"
 html5lib = ">=1.1"
 python-calamine = ">=0.2.0"
 

tests/test_timefuncs.py

@@ -945,10 +945,7 @@ def test_series_types_to_numpy() -> None:
     td_s = pd.to_timedelta(pd.Series([10, 20]), "minutes")
     ts_s = pd.to_datetime(pd.Series(["2020-01-01", "2020-01-02"]))
     p_s = pd.Series(pd.period_range("2012-1-1", periods=10, freq="D"))
-    o_s = cast(
-        "pd.Series[BaseOffset]",
-        pd.Series([pd.DateOffset(days=1), pd.DateOffset(days=2)]),
-    )
+    o_s = pd.Series([pd.DateOffset(days=1), pd.DateOffset(days=2)])
     i_s = cast("IntervalSeries", pd.interval_range(1, 2).to_series())
 
     # default dtype