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Merge pull request #4659 from rapidsai/branch-24.10
Forward-merge branch-24.10 into branch-24.12
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# Copyright (c) 2024, 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 | ||
# | ||
# http://www.apache.org/licenses/LICENSE-2.0 | ||
# | ||
# Unless required by applicable law or agreed to in writing, software | ||
# distributed under the License is distributed on an "AS IS" BASIS, | ||
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
# See the License for the specific language governing permissions and | ||
# limitations under the License. | ||
import networkx as nx | ||
import pandas as pd | ||
from pytest import approx | ||
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def test_pagerank_multigraph(): | ||
""" | ||
Ensures correct differences between pagerank results for Graphs | ||
vs. MultiGraphs generated using from_pandas_edgelist() | ||
""" | ||
df = pd.DataFrame({"source": [0, 1, 1, 1, 1, 1, 1, 2], | ||
"target": [1, 2, 2, 2, 2, 2, 2, 3]}) | ||
expected_pr_for_G = nx.pagerank(nx.from_pandas_edgelist(df)) | ||
expected_pr_for_MultiG = nx.pagerank( | ||
nx.from_pandas_edgelist(df, create_using=nx.MultiGraph)) | ||
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G = nx.from_pandas_edgelist(df, backend="cugraph") | ||
actual_pr_for_G = nx.pagerank(G, backend="cugraph") | ||
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MultiG = nx.from_pandas_edgelist(df, create_using=nx.MultiGraph, backend="cugraph") | ||
actual_pr_for_MultiG = nx.pagerank(MultiG, backend="cugraph") | ||
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assert actual_pr_for_G == approx(expected_pr_for_G) | ||
assert actual_pr_for_MultiG == approx(expected_pr_for_MultiG) |