Merge branch 'branch-25.04' of https://github.com/rapidsai/cugraph into fea_find_forest2

Author: seunghwak

ci/test_python.sh

@@ -41,9 +41,6 @@ export LD_PRELOAD="${CONDA_PREFIX}/lib/libgomp.so.1"
 
 # RAPIDS_DATASET_ROOT_DIR is used by test scripts
 export RAPIDS_DATASET_ROOT_DIR="$(realpath datasets)"
-pushd "${RAPIDS_DATASET_ROOT_DIR}"
-./get_test_data.sh --benchmark
-popd
 
 EXITCODE=0
 trap "EXITCODE=1" ERR

python/cugraph/cugraph/tests/data_store/test_property_graph_mg.py

@@ -1504,6 +1504,7 @@ def test_renumber_by_type_only_default_type(dask_client):
 
 
 @pytest.mark.slow
+@pytest.mark.mg
 @pytest.mark.parametrize("N", [1, 3, 10, 30])
 def bench_add_edges_cyber(benchmark, dask_client, N):
     from cugraph.experimental import MGPropertyGraph
@@ -1527,6 +1528,7 @@ def func():
 
 
 @pytest.mark.slow
+@pytest.mark.mg
 @pytest.mark.parametrize("n_rows", [1_000_000])
 @pytest.mark.parametrize("n_feats", [128])
 def bench_get_vector_features(benchmark, dask_client, n_rows, n_feats):

python/cugraph/cugraph/tests/structure/test_graph_mg.py

@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2024, NVIDIA CORPORATION.
+# Copyright (c) 2022-2025, 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
@@ -371,6 +371,7 @@ def test_graph_creation_edge_properties(dask_client, graph_file, edge_props):
     G.from_dask_cudf_edgelist(df, source="0", destination="1", **prop_keys)
 
 
+@pytest.mark.mg
 @pytest.mark.parametrize("directed", [True, False])
 @pytest.mark.parametrize("renumber", [True, False])
 @pytest.mark.parametrize("graph_file", datasets)
@@ -422,6 +423,7 @@ def test_graph_creation_properties(dask_client, graph_file, directed, renumber):
     assert_frame_equal(sG_edgelist_view, mG_edgelist_view, check_dtype=False)
 
 
+@pytest.mark.mg
 @pytest.mark.parametrize("directed", [True, False])
 @pytest.mark.parametrize("renumber", [True, False])
 @pytest.mark.parametrize("graph_file", datasets)