Migrate lists/count_elements to pylibcudf

python/cudf/cudf/_lib/lists.pyx

@@ -9,9 +9,6 @@ from libcpp.utility cimport move
 from cudf._lib.column cimport Column
 from cudf._lib.pylibcudf.libcudf.column.column cimport column
 from cudf._lib.pylibcudf.libcudf.column.column_view cimport column_view
-from cudf._lib.pylibcudf.libcudf.lists.count_elements cimport (
-    count_elements as cpp_count_elements,
-)
 from cudf._lib.pylibcudf.libcudf.lists.extract cimport extract_list_element
 from cudf._lib.pylibcudf.libcudf.lists.lists_column_view cimport (
     lists_column_view,
@@ -38,19 +35,10 @@ from cudf._lib.pylibcudf cimport Scalar
 
 @acquire_spill_lock()
 def count_elements(Column col):
-
-    # shared_ptr required because lists_column_view has no default
-    # ctor
-    cdef shared_ptr[lists_column_view] list_view = (
-        make_shared[lists_column_view](col.view())
+    return Column.from_pylibcudf(
+        pylibcudf.lists.count_elements(
+            col.to_pylibcudf(mode="read"))
     )
-    cdef unique_ptr[column] c_result
-
-    with nogil:
-        c_result = move(cpp_count_elements(list_view.get()[0]))
-
-    result = Column.from_unique_ptr(move(c_result))
-    return result
 
 
 @acquire_spill_lock()

python/cudf/cudf/_lib/pylibcudf/libcudf/lists/count_elements.pxd

@@ -9,4 +9,4 @@ from cudf._lib.pylibcudf.libcudf.lists.lists_column_view cimport (
 
 
 cdef extern from "cudf/lists/count_elements.hpp" namespace "cudf::lists" nogil:
-    cdef unique_ptr[column] count_elements(const lists_column_view) except +
+    cdef unique_ptr[column] count_elements(const lists_column_view&) except +

python/cudf/cudf/_lib/pylibcudf/lists.pxd

@@ -27,3 +27,5 @@ cpdef Column index_of(Column, ColumnOrScalar, bool)
 cpdef Column reverse(Column)
 
 cpdef Column segmented_gather(Column, Column)
+
+cpdef Column count_elements(Column)

python/cudf/cudf/_lib/pylibcudf/lists.pyx

@@ -17,6 +17,9 @@ from cudf._lib.pylibcudf.libcudf.lists.combine cimport (
     concatenate_null_policy,
     concatenate_rows as cpp_concatenate_rows,
 )
+from cudf._lib.pylibcudf.libcudf.lists.count_elements cimport (
+    count_elements as cpp_count_elements,
+)
 from cudf._lib.pylibcudf.libcudf.table.table cimport table
 from cudf._lib.pylibcudf.libcudf.types cimport size_type
 from cudf._lib.pylibcudf.lists cimport ColumnOrScalar
@@ -264,3 +267,27 @@ cpdef Column segmented_gather(Column input, Column gather_map_list):
             list_view2.view(),
         ))
     return Column.from_libcudf(move(c_result))
+
+
+cpdef Column count_elements(Column input):
+    """Count the number of rows in each
+    list element in the given lists column.
+    For details, see :cpp:func:`count_elements`.
+
+    Parameters
+    ----------
+    input : Column
+        The input column
+
+    Returns
+    -------
+    Column
+        A new Column of the lengths of each list element
+    """
+    cdef ListColumnView list_view = input.list_view()
+    cdef unique_ptr[column] c_result
+
+    with nogil:
+        c_result = move(cpp_count_elements(list_view.view()))
+
+    return Column.from_libcudf(move(c_result))

python/cudf/cudf/pylibcudf_tests/test_lists.py

@@ -160,3 +160,13 @@ def test_segmented_gather(test_data):
     expect = pa.array([[8, 9], [14], [0], [0, 0]])
 
     assert_column_eq(expect, res)
+
+
+def test_count_elements(test_data):
+    arr = pa.array(test_data[0][1])
+    plc_column = plc.interop.from_arrow(arr)
+    res = plc.lists.count_elements(plc_column)
+
+    expect = pa.array([1, 1, 0, 3], type=pa.int32())
+
+    assert_column_eq(expect, res)