support pyright 1.1.390 (#1068)

Author: Dr-Irv

pandas-stubs/core/groupby/generic.pyi

@@ -211,7 +211,7 @@ class DataFrameGroupBy(GroupBy[DataFrame], Generic[ByT, _TT]):
     ) -> DataFrame: ...
     # error: overload 1 overlaps overload 2 because of different return types
     @overload
-    def aggregate(self, func: Literal["size"]) -> Series: ...  # type: ignore[overload-overlap] # pyright: ignore[reportOverlappingOverload]
+    def aggregate(self, func: Literal["size"]) -> Series: ...  # type: ignore[overload-overlap]
     @overload
     def aggregate(
         self,

pyproject.toml

@@ -37,7 +37,7 @@ mypy = "1.13.0"
 pandas = "2.2.3"
 pyarrow = ">=10.0.1"
 pytest = ">=7.1.2"
-pyright = ">= 1.1.387"
+pyright = ">= 1.1.390"
 poethepoet = ">=0.16.5"
 loguru = ">=0.6.0"
 typing-extensions = ">=4.4.0"

tests/test_frame.py

@@ -2404,7 +2404,7 @@ def test_indexslice_getitem():
     # Once pyright 1.1.390 and mypy 1.14 are released, the test can be
     # reverted to the standard form.
     # check(assert_type(pd.IndexSlice[ind, :], tuple["pd.Index[int]", slice]), tuple)
-    tmp: tuple[pd.Index[int], slice] = pd.IndexSlice[ind, :]
+    tmp = cast(tuple["pd.Index[int]", slice], pd.IndexSlice[ind, :])  # type: ignore[redundant-cast]
     check(assert_type(tmp, tuple["pd.Index[int]", slice]), tuple)
     check(assert_type(df.loc[pd.IndexSlice[ind, :]], pd.DataFrame), pd.DataFrame)
     check(assert_type(df.loc[pd.IndexSlice[1:2]], pd.DataFrame), pd.DataFrame)