Add bindings for index_of with column search key

python/cudf/cudf/_lib/cpp/lists/contains.pxd

@@ -18,3 +18,8 @@ cdef extern from "cudf/lists/contains.hpp" namespace "cudf::lists" nogil:
         lists_column_view lists,
         scalar search_key,
     ) except +
+
+    cdef unique_ptr[column] index_of(
+        lists_column_view lists,
+        column_view search_keys,
+    ) except +

python/cudf/cudf/_lib/lists.pyx

@@ -176,7 +176,7 @@ def contains_scalar(Column col, object py_search_key):
     return result
 
 
-def index_of(Column col, object py_search_key):
+def index_of_scalar(Column col, object py_search_key):
 
     cdef DeviceScalar search_key = py_search_key.device_value
 
@@ -195,6 +195,24 @@ def index_of(Column col, object py_search_key):
     return Column.from_unique_ptr(move(c_result))
 
 
+def index_of_column(Column col, Column search_keys):
+
+    cdef column_view keys_view = search_keys.view()
+
+    cdef shared_ptr[lists_column_view] list_view = (
+        make_shared[lists_column_view](col.view())
+    )
+
+    cdef unique_ptr[column] c_result
+
+    with nogil:
+        c_result = move(cpp_index_of(
+            list_view.get()[0],
+            keys_view,
+        ))
+    return Column.from_unique_ptr(move(c_result))
+
+
 def concatenate_rows(list source_columns):
     cdef unique_ptr[column] c_result
 

python/cudf/cudf/core/column/lists.py

@@ -17,7 +17,8 @@
     drop_list_duplicates,
     extract_element_column,
     extract_element_scalar,
-    index_of,
+    index_of_column,
+    index_of_scalar,
     sort_lists,
 )
 from cudf._lib.strings.convert.convert_lists import format_list_column
@@ -453,10 +454,59 @@ def contains(self, search_key: ScalarLike) -> ParentType:
             raise
         return res
 
-    def index(self, search_key: ScalarLike) -> ParentType:
-        search_key = cudf.Scalar(search_key)
+    def index(self, search_key: Union[ScalarLike, ColumnLike]) -> ParentType:
+        """
+        Return integers representing the index of the search key for each row.
+        If ``search_key`` is a sequence, it must be the same length as the
+        Series and ``search_key[i]`` represents the search key for the
+        ``i``-th row of the Series.
+
+        If the search key is not contained in a row, return -1.
+        If either the row or the search key are null, return <NA>.
+
+        Parameters
+        ----------
+        search_key : scalar or sequence of scalars
+            Element or elements being searched for in each row of the list
+            column
+
+        Returns
+        -------
+        Series or Index
+
+        Examples
+        --------
+        >>> s = cudf.Series([[1, 2, 3], [3, 4, 5], [4, 5, 6]])
+        >>> s.list.index(4)
+        0   -1
+        1    1
+        2    0
+        dtype: int32
+
+        >>> s = cudf.Series([["a", "b", "c"], ["x", "y", "z"]])
+        >>> s.list.index(["b", "z"])
+        0    1
+        1    2
+        dtype: int32
+
+        >>> s = cudf.Series([[4, 5, 6], None, [-3, -2, -1]])
+        >>> s.list.index([None, 3, -2])
+        0    <NA>
+        1    <NA>
+        2       1
+        dtype: int32
+        """
+
         try:
-            res = self._return_or_inplace(index_of(self._column, search_key))
+            if is_scalar(search_key):
+                res = self._return_or_inplace(
+                    index_of_scalar(self._column, cudf.Scalar(search_key))
+                )
+            else:
+                res = self._return_or_inplace(
+                    index_of_column(self._column, as_column(search_key))
+                )
+
         except RuntimeError as e:
             if (
                 "Type/Scale of search key does not "

python/cudf/cudf/tests/test_list.py

@@ -11,6 +11,7 @@
 import cudf
 from cudf import NA
 from cudf._lib.copying import get_element
+from cudf.api.types import is_scalar
 from cudf.testing._utils import (
     DATETIME_TYPES,
     NUMERIC_TYPES,
@@ -425,7 +426,7 @@ def test_contains_invalid(data, scalar):
 
 
 @pytest.mark.parametrize(
-    "data, scalar, expect",
+    "data, search_key, expect",
     [
         (
             [[1, 2, 3], [], [3, 4, 5]],
@@ -448,6 +449,16 @@ def test_contains_invalid(data, scalar):
             "y",
             [3, -1],
         ),
+        (
+            [["h", "a", None], ["t", "g"]],
+            ["a", "b"],
+            [1, -1],
+        ),
+        (
+            [None, ["h", "i"], ["p", "k", "z"]],
+            ["x", None, "z"],
+            [None, None, 2],
+        ),
         (
             [["d", None, "e"], [None, "f"], []],
             cudf.Scalar(cudf.NA, "O"),
@@ -460,15 +471,21 @@ def test_contains_invalid(data, scalar):
         ),
     ],
 )
-def test_index(data, scalar, expect):
+def test_index(data, search_key, expect):
     sr = cudf.Series(data)
     expect = cudf.Series(expect, dtype="int32")
-    got = sr.list.index(cudf.Scalar(scalar, sr.dtype.element_type))
+    if is_scalar(search_key):
+        got = sr.list.index(cudf.Scalar(search_key, sr.dtype.element_type))
+    else:
+        got = sr.list.index(
+            cudf.Series(search_key, dtype=sr.dtype.element_type)
+        )
+
     assert_eq(expect, got)
 
 
 @pytest.mark.parametrize(
-    "data, scalar",
+    "data, search_key",
     [
         (
             [[9, None, 8], [], [7, 6, 5]],
@@ -478,16 +495,20 @@ def test_index(data, scalar, expect):
             [["a", "b", "c"], None, [None, "d"]],
             2,
         ),
+        (
+            [["e", "s"], ["t", "w"]],
+            [5, 6],
+        ),
     ],
 )
-def test_index_invalid(data, scalar):
+def test_index_invalid(data, search_key):
     sr = cudf.Series(data)
     with pytest.raises(
         TypeError,
         match="Type/Scale of search key does not "
         "match list column element type.",
     ):
-        sr.list.index(scalar)
+        sr.list.index(search_key)
 
 
 @pytest.mark.parametrize(