Merge branch 'branch-25.02' into high-lvl-comp-api

.github/CODEOWNERS

@@ -8,10 +8,9 @@ notebooks/         @rapidsai/cudf-python-codeowners
 python/dask_cudf/  @rapidsai/cudf-dask-codeowners
 
 #cmake code owners
-cpp/CMakeLists.txt               @rapidsai/cudf-cmake-codeowners
-cpp/libcudf_kafka/CMakeLists.txt @rapidsai/cudf-cmake-codeowners
-**/cmake/                        @rapidsai/cudf-cmake-codeowners
-*.cmake                          @rapidsai/cudf-cmake-codeowners
+CMakeLists.txt @rapidsai/cudf-cmake-codeowners
+**/cmake/      @rapidsai/cudf-cmake-codeowners
+*.cmake        @rapidsai/cudf-cmake-codeowners
 
 #java code owners
 java/              @rapidsai/cudf-java-codeowners

python/cudf_polars/cudf_polars/dsl/expressions/aggregation.py

@@ -91,7 +91,7 @@ def __init__(
             op = partial(self._reduce, request=req)
         elif name in {"min", "max"}:
             op = partial(op, propagate_nans=options)
-        elif name in {"count", "first", "last"}:
+        elif name in {"count", "sum", "first", "last"}:
             pass
         else:
             raise NotImplementedError(
@@ -180,6 +180,18 @@ def _count(self, column: Column) -> Column:
             )
         )
 
+    def _sum(self, column: Column) -> Column:
+        if column.obj.size() == 0:
+            return Column(
+                plc.Column.from_scalar(
+                    plc.interop.from_arrow(
+                        pa.scalar(0, type=plc.interop.to_arrow(self.dtype))
+                    ),
+                    1,
+                )
+            )
+        return self._reduce(column, request=plc.aggregation.sum())
+
     def _min(self, column: Column, *, propagate_nans: bool) -> Column:
         if propagate_nans and column.nan_count > 0:
             return Column(

python/cudf_polars/tests/expressions/test_agg.py

@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2024 NVIDIA CORPORATION & AFFILIATES.
+# SPDX-FileCopyrightText: Copyright (c) 2024-2025, NVIDIA CORPORATION & AFFILIATES.
 # SPDX-License-Identifier: Apache-2.0
 from __future__ import annotations
 
@@ -148,3 +148,9 @@ def test_agg_singleton(op):
     q = df.select(op(pl.col("a")))
 
     assert_gpu_result_equal(q)
+
+
+def test_sum_empty_zero():
+    df = pl.LazyFrame({"a": pl.Series(values=[], dtype=pl.Int32())})
+    q = df.select(pl.col("a").sum())
+    assert_gpu_result_equal(q)

python/libcudf/CMakeLists.txt

@@ -1,5 +1,5 @@
 # =============================================================================
-# Copyright (c) 2024, NVIDIA CORPORATION.
+# Copyright (c) 2024-2025, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except
 # in compliance with the License. You may obtain a copy of the License at
@@ -34,9 +34,6 @@ endif()
 
 unset(cudf_FOUND)
 
-# Find Python early so that later commands can use it
-find_package(Python 3.10 REQUIRED COMPONENTS Interpreter)
-
 set(BUILD_TESTS OFF)
 set(BUILD_BENCHMARKS OFF)
 set(CUDF_BUILD_TESTUTIL OFF)