diff --git a/pandas/_libs/tslibs/dtypes.pyi b/pandas/_libs/tslibs/dtypes.pyi
index f6a8d7887ced1..9dbf9d082d8cc 100644
--- a/pandas/_libs/tslibs/dtypes.pyi
+++ b/pandas/_libs/tslibs/dtypes.pyi
@@ -9,7 +9,7 @@ class PeriodDtypeBase:
     _dtype_code: int  # PeriodDtypeCode
 
     # actually __cinit__
-    def __new__(self, code: int): ...
+    def __new__(cls, code: int): ...
     def freq_group_code(self) -> int: ...
     def date_offset(self) -> BaseOffset: ...
     @classmethod
diff --git a/pandas/_testing/_io.py b/pandas/_testing/_io.py
index 32224cdd4d04e..c7113e663789b 100644
--- a/pandas/_testing/_io.py
+++ b/pandas/_testing/_io.py
@@ -4,15 +4,13 @@
 from functools import wraps
 import gzip
 from typing import (
+    TYPE_CHECKING,
     Any,
     Callable,
 )
 import zipfile
 
-from pandas._typing import (
-    FilePathOrBuffer,
-    FrameOrSeries,
-)
+from pandas._typing import FilePathOrBuffer
 from pandas.compat import (
     get_lzma_file,
     import_lzma,
@@ -24,6 +22,12 @@
 
 from pandas.io.common import urlopen
 
+if TYPE_CHECKING:
+    from pandas import (
+        DataFrame,
+        Series,
+    )
+
 _RAISE_NETWORK_ERROR_DEFAULT = False
 
 lzma = import_lzma()
@@ -272,7 +276,9 @@ def can_connect(url, error_classes=None):
 # File-IO
 
 
-def round_trip_pickle(obj: Any, path: FilePathOrBuffer | None = None) -> FrameOrSeries:
+def round_trip_pickle(
+    obj: Any, path: FilePathOrBuffer | None = None
+) -> DataFrame | Series:
     """
     Pickle an object and then read it again.
 
diff --git a/pandas/core/apply.py b/pandas/core/apply.py
index dafcc71ae0b5a..813ba019e09b6 100644
--- a/pandas/core/apply.py
+++ b/pandas/core/apply.py
@@ -1337,7 +1337,7 @@ def _make_unique_kwarg_list(
 
 
 def relabel_result(
-    result: FrameOrSeries,
+    result: DataFrame | Series,
     func: dict[str, list[Callable | str]],
     columns: Iterable[Hashable],
     order: Iterable[int],
diff --git a/pandas/core/arrays/_mixins.py b/pandas/core/arrays/_mixins.py
index 4c7ccc2f16477..dbd1001e0ce07 100644
--- a/pandas/core/arrays/_mixins.py
+++ b/pandas/core/arrays/_mixins.py
@@ -323,7 +323,7 @@ def __repr__(self) -> str:
     # ------------------------------------------------------------------------
     # __array_function__ methods
 
-    def putmask(self: NDArrayBackedExtensionArrayT, mask: np.ndarray, value) -> None:
+    def putmask(self, mask: np.ndarray, value) -> None:
         """
         Analogue to np.putmask(self, mask, value)
 
diff --git a/pandas/core/arrays/interval.py b/pandas/core/arrays/interval.py
index 732bdb112b8c3..68365613c8c77 100644
--- a/pandas/core/arrays/interval.py
+++ b/pandas/core/arrays/interval.py
@@ -934,9 +934,7 @@ def copy(self: IntervalArrayT) -> IntervalArrayT:
     def isna(self) -> np.ndarray:
         return isna(self._left)
 
-    def shift(
-        self: IntervalArrayT, periods: int = 1, fill_value: object = None
-    ) -> IntervalArray:
+    def shift(self, periods: int = 1, fill_value: object = None) -> IntervalArray:
         if not len(self) or periods == 0:
             return self.copy()
 
diff --git a/pandas/core/generic.py b/pandas/core/generic.py
index 4321610521f97..26c0b7426727c 100644
--- a/pandas/core/generic.py
+++ b/pandas/core/generic.py
@@ -709,13 +709,11 @@ def set_axis(
         ...
 
     @overload
-    def set_axis(
-        self: FrameOrSeries, labels, axis: Axis, inplace: Literal[True]
-    ) -> None:
+    def set_axis(self, labels, axis: Axis, inplace: Literal[True]) -> None:
         ...
 
     @overload
-    def set_axis(self: FrameOrSeries, labels, *, inplace: Literal[True]) -> None:
+    def set_axis(self, labels, *, inplace: Literal[True]) -> None:
         ...
 
     @overload
@@ -2703,10 +2701,12 @@ def to_hdf(
         """
         from pandas.io import pytables
 
+        # Argument 3 to "to_hdf" has incompatible type "NDFrame"; expected
+        # "Union[DataFrame, Series]" [arg-type]
         pytables.to_hdf(
             path_or_buf,
             key,
-            self,
+            self,  # type: ignore[arg-type]
             mode=mode,
             complevel=complevel,
             complib=complib,
@@ -3850,7 +3850,7 @@ def _slice(self: FrameOrSeries, slobj: slice, axis=0) -> FrameOrSeries:
         return result
 
     @final
-    def _set_is_copy(self, ref: FrameOrSeries, copy: bool_t = True) -> None:
+    def _set_is_copy(self, ref: NDFrame, copy: bool_t = True) -> None:
         if not copy:
             self._is_copy = None
         else:
@@ -11019,13 +11019,11 @@ def ewm(
         adjust: bool_t = True,
         ignore_na: bool_t = False,
         axis: Axis = 0,
-        times: str | np.ndarray | FrameOrSeries | None = None,
+        times: str | np.ndarray | DataFrame | Series | None = None,
         method: str = "single",
     ) -> ExponentialMovingWindow:
         axis = self._get_axis_number(axis)
-        # error: Value of type variable "FrameOrSeries" of "ExponentialMovingWindow"
-        # cannot be "object"
-        return ExponentialMovingWindow(  # type: ignore[type-var]
+        return ExponentialMovingWindow(
             self,
             com=com,
             span=span,
diff --git a/pandas/core/groupby/generic.py b/pandas/core/groupby/generic.py
index f0408db7f4ef8..fd7a10d0c1b0b 100644
--- a/pandas/core/groupby/generic.py
+++ b/pandas/core/groupby/generic.py
@@ -1523,7 +1523,7 @@ def _wrap_agged_manager(self, mgr: Manager2D) -> DataFrame:
         #  values converted
         return self._reindex_output(result)._convert(datetime=True)
 
-    def _iterate_column_groupbys(self, obj: FrameOrSeries):
+    def _iterate_column_groupbys(self, obj: DataFrame | Series):
         for i, colname in enumerate(obj.columns):
             yield colname, SeriesGroupBy(
                 obj.iloc[:, i],
@@ -1532,7 +1532,7 @@ def _iterate_column_groupbys(self, obj: FrameOrSeries):
                 exclusions=self.exclusions,
             )
 
-    def _apply_to_column_groupbys(self, func, obj: FrameOrSeries) -> DataFrame:
+    def _apply_to_column_groupbys(self, func, obj: DataFrame | Series) -> DataFrame:
         from pandas.core.reshape.concat import concat
 
         columns = obj.columns
diff --git a/pandas/core/groupby/groupby.py b/pandas/core/groupby/groupby.py
index b41935902b9cf..dfc3e464a7952 100644
--- a/pandas/core/groupby/groupby.py
+++ b/pandas/core/groupby/groupby.py
@@ -44,7 +44,6 @@ class providing the base-class of operations.
 import pandas._libs.groupby as libgroupby
 from pandas._typing import (
     ArrayLike,
-    F,
     FrameOrSeries,
     IndexLabel,
     RandomState,
@@ -1373,7 +1372,10 @@ def f(g):
 
     @final
     def _python_apply_general(
-        self, f: F, data: DataFrame | Series, not_indexed_same: bool | None = None
+        self,
+        f: Callable,
+        data: DataFrame | Series,
+        not_indexed_same: bool | None = None,
     ) -> DataFrame | Series:
         """
         Apply function f in python space
diff --git a/pandas/core/groupby/grouper.py b/pandas/core/groupby/grouper.py
index d02df6a65d359..22270fdca4b20 100644
--- a/pandas/core/groupby/grouper.py
+++ b/pandas/core/groupby/grouper.py
@@ -5,6 +5,8 @@
 from __future__ import annotations
 
 from typing import (
+    TYPE_CHECKING,
+    Any,
     Hashable,
     final,
 )
@@ -47,6 +49,9 @@
 
 from pandas.io.formats.printing import pprint_thing
 
+if TYPE_CHECKING:
+    from pandas.core.generic import NDFrame
+
 
 class Grouper:
     """
@@ -299,7 +304,9 @@ def ax(self) -> Index:
             raise ValueError("_set_grouper must be called before ax is accessed")
         return index
 
-    def _get_grouper(self, obj: FrameOrSeries, validate: bool = True):
+    def _get_grouper(
+        self, obj: FrameOrSeries, validate: bool = True
+    ) -> tuple[Any, ops.BaseGrouper, FrameOrSeries]:
         """
         Parameters
         ----------
@@ -326,10 +333,12 @@ def _get_grouper(self, obj: FrameOrSeries, validate: bool = True):
             dropna=self.dropna,
         )
 
-        return self.binner, self.grouper, self.obj
+        # error: Incompatible return value type (got "Tuple[None, None, None]",
+        # expected "Tuple[Any, BaseGrouper, FrameOrSeries]")
+        return self.binner, self.grouper, self.obj  # type: ignore[return-value]
 
     @final
-    def _set_grouper(self, obj: FrameOrSeries, sort: bool = False):
+    def _set_grouper(self, obj: NDFrame, sort: bool = False):
         """
         given an object and the specifications, setup the internal grouper
         for this particular specification
@@ -459,7 +468,7 @@ def __init__(
         self,
         index: Index,
         grouper=None,
-        obj: FrameOrSeries | None = None,
+        obj: NDFrame | None = None,
         level=None,
         sort: bool = True,
         observed: bool = False,
@@ -501,11 +510,9 @@ def __init__(
             # what key/level refer to exactly, don't need to
             # check again as we have by this point converted these
             # to an actual value (rather than a pd.Grouper)
+            assert self.obj is not None  # for mypy
             _, newgrouper, newobj = self.grouping_vector._get_grouper(
-                # error: Value of type variable "FrameOrSeries" of "_get_grouper"
-                # of "Grouper" cannot be "Optional[FrameOrSeries]"
-                self.obj,  # type: ignore[type-var]
-                validate=False,
+                self.obj, validate=False
             )
             self.obj = newobj
 
diff --git a/pandas/core/groupby/ops.py b/pandas/core/groupby/ops.py
index 278e8123001d1..a7ac2c7a1dba6 100644
--- a/pandas/core/groupby/ops.py
+++ b/pandas/core/groupby/ops.py
@@ -10,6 +10,7 @@
 import collections
 import functools
 from typing import (
+    Callable,
     Generic,
     Hashable,
     Iterator,
@@ -29,7 +30,6 @@
 from pandas._typing import (
     ArrayLike,
     DtypeObj,
-    F,
     FrameOrSeries,
     Shape,
     npt,
@@ -700,7 +700,7 @@ def get_iterator(
             yield key, group.__finalize__(data, method="groupby")
 
     @final
-    def _get_splitter(self, data: FrameOrSeries, axis: int = 0) -> DataSplitter:
+    def _get_splitter(self, data: NDFrame, axis: int = 0) -> DataSplitter:
         """
         Returns
         -------
@@ -732,7 +732,9 @@ def group_keys_seq(self):
             return get_flattened_list(ids, ngroups, self.levels, self.codes)
 
     @final
-    def apply(self, f: F, data: FrameOrSeries, axis: int = 0) -> tuple[list, bool]:
+    def apply(
+        self, f: Callable, data: DataFrame | Series, axis: int = 0
+    ) -> tuple[list, bool]:
         mutated = self.mutated
         splitter = self._get_splitter(data, axis=axis)
         group_keys = self.group_keys_seq
@@ -918,7 +920,7 @@ def _cython_operation(
 
     @final
     def agg_series(
-        self, obj: Series, func: F, preserve_dtype: bool = False
+        self, obj: Series, func: Callable, preserve_dtype: bool = False
     ) -> ArrayLike:
         """
         Parameters
@@ -960,7 +962,7 @@ def agg_series(
 
     @final
     def _aggregate_series_pure_python(
-        self, obj: Series, func: F
+        self, obj: Series, func: Callable
     ) -> npt.NDArray[np.object_]:
         ids, _, ngroups = self.group_info
 
@@ -1061,7 +1063,7 @@ def _get_grouper(self):
         """
         return self
 
-    def get_iterator(self, data: FrameOrSeries, axis: int = 0):
+    def get_iterator(self, data: NDFrame, axis: int = 0):
         """
         Groupby iterator
 
@@ -1142,7 +1144,7 @@ def groupings(self) -> list[grouper.Grouping]:
         ping = grouper.Grouping(lev, lev, in_axis=False, level=None)
         return [ping]
 
-    def _aggregate_series_fast(self, obj: Series, func: F) -> np.ndarray:
+    def _aggregate_series_fast(self, obj: Series, func: Callable) -> np.ndarray:
         # -> np.ndarray[object]
         raise NotImplementedError(
             "This should not be reached; use _aggregate_series_pure_python"
@@ -1241,7 +1243,7 @@ def _chop(self, sdata: DataFrame, slice_obj: slice) -> DataFrame:
 
 
 def get_splitter(
-    data: FrameOrSeries, labels: np.ndarray, ngroups: int, axis: int = 0
+    data: NDFrame, labels: np.ndarray, ngroups: int, axis: int = 0
 ) -> DataSplitter:
     if isinstance(data, Series):
         klass: type[DataSplitter] = SeriesSplitter
diff --git a/pandas/core/resample.py b/pandas/core/resample.py
index 303d0494db803..11ed7cb47ea3e 100644
--- a/pandas/core/resample.py
+++ b/pandas/core/resample.py
@@ -4,6 +4,7 @@
 from datetime import timedelta
 from textwrap import dedent
 from typing import (
+    TYPE_CHECKING,
     Callable,
     Hashable,
     Literal,
@@ -90,6 +91,12 @@
     Tick,
 )
 
+if TYPE_CHECKING:
+    from pandas import (
+        DataFrame,
+        Series,
+    )
+
 _shared_docs_kwargs: dict[str, str] = {}
 
 
@@ -135,7 +142,7 @@ class Resampler(BaseGroupBy, PandasObject):
 
     def __init__(
         self,
-        obj: FrameOrSeries,
+        obj: DataFrame | Series,
         groupby: TimeGrouper,
         axis: int = 0,
         kind=None,
diff --git a/pandas/core/reshape/merge.py b/pandas/core/reshape/merge.py
index 6dc95a19d8d53..d810bbecc412f 100644
--- a/pandas/core/reshape/merge.py
+++ b/pandas/core/reshape/merge.py
@@ -26,7 +26,6 @@
 from pandas._typing import (
     ArrayLike,
     DtypeObj,
-    FrameOrSeries,
     IndexLabel,
     Suffixes,
     npt,
@@ -2259,7 +2258,7 @@ def _any(x) -> bool:
     return x is not None and com.any_not_none(*x)
 
 
-def _validate_operand(obj: FrameOrSeries) -> DataFrame:
+def _validate_operand(obj: DataFrame | Series) -> DataFrame:
     if isinstance(obj, ABCDataFrame):
         return obj
     elif isinstance(obj, ABCSeries):
diff --git a/pandas/core/sample.py b/pandas/core/sample.py
index 63b8789f3f551..16fca2d0ff1b4 100644
--- a/pandas/core/sample.py
+++ b/pandas/core/sample.py
@@ -3,18 +3,22 @@
 """
 from __future__ import annotations
 
+from typing import TYPE_CHECKING
+
 import numpy as np
 
 from pandas._libs import lib
-from pandas._typing import FrameOrSeries
 
 from pandas.core.dtypes.generic import (
     ABCDataFrame,
     ABCSeries,
 )
 
+if TYPE_CHECKING:
+    from pandas.core.generic import NDFrame
+
 
-def preprocess_weights(obj: FrameOrSeries, weights, axis: int) -> np.ndarray:
+def preprocess_weights(obj: NDFrame, weights, axis: int) -> np.ndarray:
     """
     Process and validate the `weights` argument to `NDFrame.sample` and
     `.GroupBy.sample`.
diff --git a/pandas/core/window/ewm.py b/pandas/core/window/ewm.py
index 7b58af87fb1d8..fd53481778001 100644
--- a/pandas/core/window/ewm.py
+++ b/pandas/core/window/ewm.py
@@ -18,6 +18,7 @@
 
 if TYPE_CHECKING:
     from pandas import DataFrame, Series
+    from pandas.core.generic import NDFrame
 
 from pandas.compat.numpy import function as nv
 from pandas.util._decorators import doc
@@ -93,7 +94,7 @@ def get_center_of_mass(
 
 
 def _calculate_deltas(
-    times: str | np.ndarray | FrameOrSeries | None,
+    times: str | np.ndarray | NDFrame | None,
     halflife: float | TimedeltaConvertibleTypes | None,
 ) -> np.ndarray:
     """
diff --git a/pandas/core/window/expanding.py b/pandas/core/window/expanding.py
index 2f460267bfec4..03f16259c66a2 100644
--- a/pandas/core/window/expanding.py
+++ b/pandas/core/window/expanding.py
@@ -9,12 +9,12 @@
 
 from pandas._typing import (
     Axis,
-    FrameOrSeries,
     WindowingRankType,
 )
 
 if TYPE_CHECKING:
     from pandas import DataFrame, Series
+    from pandas.core.generic import NDFrame
 
 from pandas.compat.numpy import function as nv
 from pandas.util._decorators import doc
@@ -101,7 +101,7 @@ class Expanding(RollingAndExpandingMixin):
 
     def __init__(
         self,
-        obj: FrameOrSeries,
+        obj: NDFrame,
         min_periods: int = 1,
         center=None,
         axis: Axis = 0,
diff --git a/pandas/core/window/rolling.py b/pandas/core/window/rolling.py
index 2060f2d701276..94a5a9797d43d 100644
--- a/pandas/core/window/rolling.py
+++ b/pandas/core/window/rolling.py
@@ -104,6 +104,7 @@
         DataFrame,
         Series,
     )
+    from pandas.core.generic import NDFrame
     from pandas.core.groupby.ops import BaseGrouper
     from pandas.core.internals import Block  # noqa:F401
 
@@ -117,7 +118,7 @@ class BaseWindow(SelectionMixin):
 
     def __init__(
         self,
-        obj: FrameOrSeries,
+        obj: NDFrame,
         window=None,
         min_periods: int | None = None,
         center: bool = False,
@@ -635,7 +636,7 @@ class BaseWindowGroupby(BaseWindow):
 
     def __init__(
         self,
-        obj: FrameOrSeries,
+        obj: DataFrame | Series,
         *args,
         _grouper: BaseGrouper,
         _as_index: bool = True,
@@ -660,7 +661,7 @@ def _apply(
         numba_cache_key: tuple[Callable, str] | None = None,
         numba_args: tuple[Any, ...] = (),
         **kwargs,
-    ) -> FrameOrSeries:
+    ) -> DataFrame | Series:
         result = super()._apply(
             func,
             name,
diff --git a/pandas/io/formats/style.py b/pandas/io/formats/style.py
index a454980138369..67f92c4a67e14 100644
--- a/pandas/io/formats/style.py
+++ b/pandas/io/formats/style.py
@@ -3250,7 +3250,7 @@ def _background_gradient(
     text_color_threshold: float = 0.408,
     vmin: float | None = None,
     vmax: float | None = None,
-    gmap: Sequence | np.ndarray | FrameOrSeries | None = None,
+    gmap: Sequence | np.ndarray | DataFrame | Series | None = None,
     text_only: bool = False,
 ):
     """
@@ -3357,7 +3357,7 @@ def _highlight_between(
     return np.where(g_left & l_right, props, "")
 
 
-def _highlight_value(data: FrameOrSeries, op: str, props: str) -> np.ndarray:
+def _highlight_value(data: DataFrame | Series, op: str, props: str) -> np.ndarray:
     """
     Return an array of css strings based on the condition of values matching an op.
     """
@@ -3368,7 +3368,7 @@ def _highlight_value(data: FrameOrSeries, op: str, props: str) -> np.ndarray:
 
 
 def _bar(
-    data: FrameOrSeries,
+    data: NDFrame,
     align: str | float | int | Callable,
     colors: list[str],
     width: float,
diff --git a/pandas/io/json/_table_schema.py b/pandas/io/json/_table_schema.py
index e7a24fcee2b34..75fd950cd6076 100644
--- a/pandas/io/json/_table_schema.py
+++ b/pandas/io/json/_table_schema.py
@@ -15,7 +15,6 @@
 import pandas._libs.json as json
 from pandas._typing import (
     DtypeObj,
-    FrameOrSeries,
     JSONSerializable,
 )
 
@@ -36,6 +35,7 @@
 import pandas.core.common as com
 
 if TYPE_CHECKING:
+    from pandas import Series
     from pandas.core.indexes.multi import MultiIndex
 
 loads = json.loads
@@ -206,7 +206,7 @@ def convert_json_field_to_pandas_type(field):
 
 
 def build_table_schema(
-    data: FrameOrSeries,
+    data: DataFrame | Series,
     index: bool = True,
     primary_key: bool | None = None,
     version: bool = True,
diff --git a/pandas/io/pytables.py b/pandas/io/pytables.py
index d7a90511e3c73..f85128ea0ca4a 100644
--- a/pandas/io/pytables.py
+++ b/pandas/io/pytables.py
@@ -39,7 +39,6 @@
 from pandas._typing import (
     ArrayLike,
     DtypeArg,
-    FrameOrSeries,
     Shape,
 )
 from pandas.compat._optional import import_optional_dependency
@@ -262,7 +261,7 @@ def _tables():
 def to_hdf(
     path_or_buf,
     key: str,
-    value: FrameOrSeries,
+    value: DataFrame | Series,
     mode: str = "a",
     complevel: int | None = None,
     complib: str | None = None,
@@ -275,7 +274,7 @@ def to_hdf(
     data_columns: bool | list[str] | None = None,
     errors: str = "strict",
     encoding: str = "UTF-8",
-):
+) -> None:
     """store this object, close it if we opened it"""
     if append:
         f = lambda store: store.append(
@@ -1070,7 +1069,7 @@ def func(_start, _stop, _where):
     def put(
         self,
         key: str,
-        value: FrameOrSeries,
+        value: DataFrame | Series,
         format=None,
         index=True,
         append=False,
@@ -1195,7 +1194,7 @@ def remove(self, key: str, where=None, start=None, stop=None):
     def append(
         self,
         key: str,
-        value: FrameOrSeries,
+        value: DataFrame | Series,
         format=None,
         axes=None,
         index=True,
@@ -1637,7 +1636,7 @@ def _create_storer(
         self,
         group,
         format=None,
-        value: FrameOrSeries | None = None,
+        value: DataFrame | Series | None = None,
         encoding: str = "UTF-8",
         errors: str = "strict",
     ) -> GenericFixed | Table:
@@ -1728,7 +1727,7 @@ def error(t):
     def _write_to_group(
         self,
         key: str,
-        value: FrameOrSeries,
+        value: DataFrame | Series,
         format,
         axes=None,
         index=True,
@@ -1745,7 +1744,7 @@ def _write_to_group(
         encoding=None,
         errors: str = "strict",
         track_times: bool = True,
-    ):
+    ) -> None:
         # we don't want to store a table node at all if our object is 0-len
         # as there are not dtypes
         if getattr(value, "empty", None) and (format == "table" or append):
@@ -3016,7 +3015,9 @@ def write_array_empty(self, key: str, value: ArrayLike):
         node._v_attrs.value_type = str(value.dtype)
         node._v_attrs.shape = value.shape
 
-    def write_array(self, key: str, obj: FrameOrSeries, items: Index | None = None):
+    def write_array(
+        self, key: str, obj: DataFrame | Series, items: Index | None = None
+    ) -> None:
         # TODO: we only have a few tests that get here, the only EA
         #  that gets passed is DatetimeArray, and we never have
         #  both self._filters and EA
@@ -3469,14 +3470,9 @@ def write_metadata(self, key: str, values: np.ndarray):
         key : str
         values : ndarray
         """
-        # error: Incompatible types in assignment (expression has type
-        # "Series", variable has type "ndarray")
-        values = Series(values)  # type: ignore[assignment]
-        # error: Value of type variable "FrameOrSeries" of "put" of "HDFStore"
-        # cannot be "ndarray"
-        self.parent.put(  # type: ignore[type-var]
+        self.parent.put(
             self._get_metadata_path(key),
-            values,
+            Series(values),
             format="table",
             encoding=self.encoding,
             errors=self.errors,
diff --git a/pyproject.toml b/pyproject.toml
index 65f49dafb5136..a99aeec17791e 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -129,7 +129,6 @@ reportImportCycles = false
 reportIncompatibleMethodOverride = false
 reportIncompatibleVariableOverride = false
 reportInvalidStubStatement = false
-reportInvalidTypeVarUse = false
 reportMissingImports = false
 reportMissingModuleSource = false
 reportMissingTypeArgument = false
@@ -143,7 +142,6 @@ reportOverlappingOverload = false
 reportPrivateImportUsage = false
 reportPrivateUsage = false
 reportPropertyTypeMismatch = false
-reportSelfClsParameterName = false
 reportUnboundVariable = false
 reportUnknownArgumentType = false
 reportUnknownLambdaType = false