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Add basic networkx benchmarks #309

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1 change: 1 addition & 0 deletions 1 pyperformance/data-files/benchmarks/MANIFEST
Original file line number Diff line number Diff line change
Expand Up @@ -54,6 +54,7 @@ mako <local>
mdp <local>
meteor_contest <local>
nbody <local>
networkx <local>
nqueens <local>
pathlib <local>
pickle <local>
Expand Down
12 changes: 12 additions & 0 deletions 12 pyperformance/data-files/benchmarks/bm_networkx/pyproject.toml
Original file line number Diff line number Diff line change
@@ -0,0 +1,12 @@
[project]
name = "pyperformance_bm_networkx"
requires-python = ">=3.8"
dependencies = [
"pyperf",
"networkx",
]
urls = {repository = "https://github.com/python/pyperformance"}
dynamic = ["version"]

[tool.pyperformance]
name = "networkx"
Original file line number Diff line number Diff line change
@@ -0,0 +1 @@
networkx==3.1
63 changes: 63 additions & 0 deletions 63 pyperformance/data-files/benchmarks/bm_networkx/run_benchmark.py
Original file line number Diff line number Diff line change
@@ -0,0 +1,63 @@
"""
Benchmark graph creation and algorithms from NetworkX.
"""

import pyperf

import networkx as nx


G = nx.erdos_renyi_graph(200, 0.02)


def bench_sparse_graph_creation():
_ = nx.erdos_renyi_graph(100, 0.02)


def bench_dense_graph_creation():
_ = nx.erdos_renyi_graph(100, 0.9)


def bench_betweenness():
_ = nx.betweenness_centrality(G)


def bench_modularity():
_ = nx.community.greedy_modularity_communities(G)


BENCHMARKS = (
"sparse_graph_creation",
"dense_graph_creation",
"betweenness",
"modularity",
)


def bench_networkx(loops, func):
t0 = pyperf.perf_counter()
for _ in range(loops):
func()
return pyperf.perf_counter() - t0


def add_cmdline_args(cmd, args):
if args.benchmark:
cmd.append(args.benchmark)


if __name__ == "__main__":
runner = pyperf.Runner(add_cmdline_args=add_cmdline_args)
runner.metadata["description"] = "NetworkX benchmark"
runner.argparser.add_argument("benchmark", nargs="?", choices=sorted(BENCHMARKS))

args = runner.parse_args()
if args.benchmark:
benchmarks = (args.benchmark,)
else:
benchmarks = sorted(BENCHMARKS)

for bench in benchmarks:
name = "networkx_%s" % bench
func = globals()["bench_" + bench]
runner.bench_time_func(name, bench_networkx, func)
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