fixes

Signed-off-by: Anatoly Myachev <anatoly.myachev@intel.com>

modin/pandas/base.py

@@ -656,11 +656,6 @@ def aggregate(self, func=None, axis=0, *args, **kwargs):  # noqa: PR01, RT01, D2
         """
         axis = self._get_axis_number(axis)
 
-        # if func is None, will switch to user-provided "named aggregation" kwargs
-        # if func is None:
-        #    func = dict(kwargs.items())
-        #    kwargs = {}
-
         result = None
 
         if axis == 0:

modin/pandas/groupby.py

@@ -1924,9 +1924,10 @@ def nsmallest(self, n=5, keep="first"):
             )
         )
 
-    def validate_func_kwargs(self, kwargs: dict):
+    def _validate_func_kwargs(self, kwargs: dict):
         """
-        Validates types of user-provided "named aggregation" kwargs.
+        Validate types of user-provided "named aggregation" kwargs.
+
         `TypeError` is raised if aggfunc is not `str` or callable.
 
         Parameters
@@ -1940,11 +1941,6 @@ def validate_func_kwargs(self, kwargs: dict):
         func : List[Union[str, callable[...,Any]]]
             List of user-provided aggfuncs
 
-        Examples
-        --------
-        >>> validate_func_kwargs({'one': 'min', 'two': 'max'})
-        (['one', 'two'], ['min', 'max'])
-
         Notes
         -----
         Copied from pandas
@@ -1965,7 +1961,7 @@ def aggregate(self, func=None, *args, engine=None, engine_kwargs=None, **kwargs)
         engine_default = engine is None and engine_kwargs is None
         # if func is None, will switch to user-provided "named aggregation" kwargs
         if func_is_none := func is None:
-            columns, func = self.validate_func_kwargs(kwargs)
+            columns, func = self._validate_func_kwargs(kwargs)
             kwargs = {}
         if isinstance(func, dict) and engine_default:
             raise SpecificationError("nested renamer is not supported")