Fix nightly test

.github/pull_request_template.md

@@ -1,6 +1,2 @@
-<!--
-Two CI tests are using not yet released versions of pandas ("nightly") and mypy ("mypy_nightly"). It is okay if they fail.
--->
-
 - [ ] Closes #xxxx (Replace xxxx with the Github issue number)
 - [ ] Tests added: Please use `assert_type()` to assert the type of any return value

.pre-commit-config.yaml

@@ -3,15 +3,15 @@ ci:
     autofix_prs: false
 repos:
 -   repo: https://github.com/python/black
-    rev: 23.3.0
+    rev: 23.7.0
     hooks:
     -   id: black
 -   repo: https://github.com/PyCQA/isort
     rev: 5.12.0
     hooks:
     -   id: isort
 -   repo: https://github.com/asottile/pyupgrade
-    rev: v3.4.0
+    rev: v3.9.0
     hooks:
     -   id: pyupgrade
         types_or: [python, pyi]
@@ -27,15 +27,15 @@ repos:
     -   id: flake8
         name: flake8 (pyi)
         additional_dependencies:
-        - flake8-pyi==23.3.1
+        - flake8-pyi==23.6.0
         types: [pyi]
         args: [
-          --ignore=E301 E302 E305 E402 E501 E701 E704 F401 F811 W503 Y042,
+          --ignore=E301 E302 E305 E402 E501 E701 E704 F401 F811 F821 W503 Y042,
           # TypeVars in private files are already private
           --per-file-ignores=_*.pyi:Y001
         ]
 -   repo: https://github.com/codespell-project/codespell
-    rev: v2.2.4
+    rev: v2.2.5
     hooks:
     - id: codespell
       additional_dependencies: [ tomli ]

pandas-stubs/_typing.pyi

@@ -265,9 +265,9 @@ AxisColumn: TypeAlias = Literal["columns", 1]
 Axis: TypeAlias = AxisIndex | AxisColumn
 DtypeNp = TypeVar("DtypeNp", bound=np.dtype[np.generic])
 KeysArgType: TypeAlias = Any
-ListLike = TypeVar("ListLike", Sequence, np.ndarray, "Series", "Index")
+ListLike = TypeVar("ListLike", Sequence, np.ndarray, Series, Index)
 ListLikeExceptSeriesAndStr = TypeVar(
-    "ListLikeExceptSeriesAndStr", MutableSequence, np.ndarray, tuple, "Index"
+    "ListLikeExceptSeriesAndStr", MutableSequence, np.ndarray, tuple, Index
 )
 ListLikeU: TypeAlias = Sequence | np.ndarray | Series | Index
 ListLikeHashable: TypeAlias = (

pandas-stubs/core/indexes/accessors.pyi

@@ -89,7 +89,7 @@ class _MiniSeconds(Generic[_DTFieldOpsReturnType]):
     @property
     def nanosecond(self) -> _DTFieldOpsReturnType: ...
 
-_DTBoolOpsReturnType = TypeVar("_DTBoolOpsReturnType", "Series[bool]", np_ndarray_bool)
+_DTBoolOpsReturnType = TypeVar("_DTBoolOpsReturnType", Series[bool], np_ndarray_bool)
 
 class _IsLeapYearProperty(Generic[_DTBoolOpsReturnType]):
     @property

tests/test_series.py

@@ -462,13 +462,7 @@ def square(x: float) -> float:
     def makeseries(x: float) -> pd.Series:
         return pd.Series([x, 2 * x])
 
-    with pytest_warns_bounded(
-        FutureWarning,
-        "Returning a DataFrame from Series.apply when the supplied function"
-        "returns a Series is deprecated",
-        lower="2.0.99",
-    ):
-        check(assert_type(s.apply(makeseries), pd.DataFrame), pd.DataFrame)
+    check(assert_type(s.apply(makeseries), pd.DataFrame), pd.DataFrame)
 
     # GH 293