FEAT-modin-project#6784: implement 'DataFrame.__rdivmod__/__divmod__'

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

modin/pandas/dataframe.py

@@ -63,6 +63,7 @@
     cast_function_modin2pandas,
     from_non_pandas,
     from_pandas,
+    _doc_binary_op,
 )
 
 
@@ -2720,6 +2721,23 @@ def __delitem__(self, key):
             raise KeyError(key)
         self._update_inplace(new_query_compiler=self._query_compiler.delitem(key))
 
+    @_doc_binary_op(
+        operation="integer division and modulo",
+        bin_op="divmod",
+        returns="tuple of two DataFrames",
+    )
+    def __divmod__(self, right):
+        return self._default_to_pandas(pandas.DataFrame.__divmod__, right)
+
+    @_doc_binary_op(
+        operation="integer division and modulo",
+        bin_op="divmod",
+        right="left",
+        returns="tuple of two DataFrames",
+    )
+    def __rdivmod__(self, left):
+        return self._default_to_pandas(pandas.DataFrame.__rdivmod__, left)
+
     __add__ = add
     __iadd__ = add  # pragma: no cover
     __radd__ = radd

modin/pandas/test/dataframe/test_binary.py

@@ -90,6 +90,15 @@ def test_math_functions(other, axis, op):
     )
 
 
+@pytest.mark.parametrize("other", [lambda df: 2, lambda df: df])
+def test___divmod__(other):
+    data = test_data["float_nan_data"]
+
+    eval_general(*create_test_dfs(data), lambda df: divmod(df, other(df)))
+    # test __rdivmod__
+    eval_general(*create_test_dfs(data), lambda df: divmod(other(df), df))
+
+
 @pytest.mark.parametrize(
     "other",
     [lambda df: df[: -(2**4)], lambda df: df[df.columns[0]].reset_index(drop=True)],