Remove deprecated code.

python/cudf/cudf/__init__.py

@@ -58,26 +58,6 @@
     StructDtype,
 )
 from cudf.core.groupby import Grouper
-from cudf.core.ops import (
-    add,
-    arccos,
-    arcsin,
-    arctan,
-    cos,
-    exp,
-    floor_divide,
-    log,
-    logical_and,
-    logical_not,
-    logical_or,
-    multiply,
-    remainder,
-    sin,
-    sqrt,
-    subtract,
-    tan,
-    true_divide,
-)
 from cudf.core.reshape import (
     concat,
     get_dummies,

python/cudf/cudf/core/_base_index.py

@@ -3,7 +3,6 @@
 from __future__ import annotations
 
 import pickle
-import warnings
 from functools import cached_property
 from typing import Any, Set
 
@@ -1556,27 +1555,6 @@ def _split_columns_by_levels(self, levels):
     def _split(self, splits):
         raise NotImplementedError
 
-    def sample(
-        self,
-        n=None,
-        frac=None,
-        replace=False,
-        weights=None,
-        random_state=None,
-        axis=None,
-        ignore_index=False,
-    ):
-        warnings.warn(
-            "Index.sample is deprecated and will be removed.", FutureWarning,
-        )
-        return cudf.core.index._index_from_data(
-            self.to_frame()
-            .sample(
-                n, frac, replace, weights, random_state, axis, ignore_index
-            )
-            ._data
-        )
-
 
 def _get_result_name(left_name, right_name):
     if left_name == right_name:

python/cudf/cudf/core/dataframe.py

@@ -2023,16 +2023,6 @@ def update(
     def __iter__(self):
         return iter(self._column_names)
 
-    @_cudf_nvtx_annotate
-    def iteritems(self):
-        """Iterate over column names and series pairs"""
-        warnings.warn(
-            "iteritems is deprecated and will be removed in a future version. "
-            "Use .items instead.",
-            FutureWarning,
-        )
-        return self.items()
-
     @_cudf_nvtx_annotate
     def items(self):
         """Iterate over column names and series pairs"""
@@ -3361,22 +3351,6 @@ def merge(
         - For outer joins, the result will be the union of categories
         from both sides.
         """
-        if indicator:
-            raise NotImplementedError(
-                "Only indicator=False is currently supported"
-            )
-
-        if lsuffix or rsuffix:
-            raise ValueError(
-                "The lsuffix and rsuffix keywords have been replaced with the "
-                "``suffixes=`` keyword.  "
-                "Please provide the following instead: \n\n"
-                "    suffixes=('%s', '%s')"
-                % (lsuffix or "_x", rsuffix or "_y")
-            )
-        else:
-            lsuffix, rsuffix = suffixes
-
         # Compute merge
         gdf_result = super()._merge(
             right,
@@ -3389,6 +3363,8 @@ def merge(
             sort=sort,
             indicator=indicator,
             suffixes=suffixes,
+            lsuffix=lsuffix,
+            rsuffix=rsuffix,
         )
         return gdf_result
 
@@ -6341,7 +6317,7 @@ def from_pandas(obj, nan_as_null=None):
 
 @_cudf_nvtx_annotate
 def merge(left, right, *args, **kwargs):
-    return left.merge(right, *args, **kwargs)
+    return super(type(left), left)._merge(right, *args, **kwargs)
 
 
 # a bit of fanciness to inject docstring with left parameter