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bench_pokec.py
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bench_pokec.py
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#!/usr/bin/env python3
"""
Author : Xinyuan Chen <[email protected]>
Date : 2022-08-03
Purpose: EasyGraph & NetworkX side-by-side benchmarking
"""
from hr_tddschn import hr
from pathlib import Path
from config import (
eg_master_dir,
load_functions_name,
di_load_functions_name,
clustering_methods,
shortest_path_methods,
# connected_components_methods,
connected_components_methods_G,
connected_components_methods_G_node,
mst_methods,
other_methods,
new_methods,
method_groups,
dataset_names,
BENCH_CSV_DIR,
)
from utils import eg2nx, eg2ceg, nx2eg, get_first_node, eval_method, json2csv, tabulate_csv
# if eg_master_dir.exists():
# import sys
# sys.path.insert(0, str(eg_master_dir))
import easygraph as eg
import networkx as nx
from dataset_loaders import load_pokec
load_func_name = 'load_pokec'
if hasattr(load_pokec, 'load_func_for') and load_pokec.load_func_for == 'nx':
G_nx = load_pokec()
G_eg = nx2eg(G_nx)
else:
G_eg = load_pokec()
G_nx = eg2nx(G_eg)
G_ceg = eg2ceg(G_eg)
first_node_eg = get_first_node(G_eg)
first_node_nx = get_first_node(G_nx)
first_node_ceg = get_first_node(G_ceg)
import argparse
def get_args():
"""Get command-line arguments"""
parser = argparse.ArgumentParser(
description='EasyGraph & NetworkX side-by-side benchmarking',
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
)
# parser.add_argument(
# '-d',
# '--dataset',
# type=str,
# choices=dataset_names,
# nargs='+',
# )
parser.add_argument(
'-G', '--method-group', type=str, choices=method_groups, nargs='+'
)
parser.add_argument(
'-C',
'--skip-cpp-easygraph',
'--skip-ceg',
action='store_true',
help='Skip benchmarking cpp_easygraph methods',
)
# parser.add_argument('-n', '--dry-run', action='store_true', help='Dry run')
parser.add_argument(
'-D', '--skip-draw', action='store_true', help='Skip drawing graphs to speed things up'
)
parser.add_argument(
'-p', '--pass', type=int, help='Number of passes to run in the benchmark, uses Timer.autorange() if not set.'
)
# parser.add_argument(
# '-t', '--timeout', type=int, help='Timeout for benchmarking one method in seconds, 0 for no timeout', default=60
# )
parser.add_argument(
'-o', '--output-dir', type=Path, help='Output directory', default=BENCH_CSV_DIR,
)
parser.add_argument(
'-a', '--append-results', action='store_true', help='Append results to existing csv files. Overwrites by default.'
)
parser.add_argument(
'--graph-type', type=str, choices=['directed', 'undirected', 'all'], help='Only run bench if graph is of specified graph type', default='all',
)
return parser.parse_args()
def main():
args = get_args()
method_groups = args.method_group
flags = {}
flags |= {'skip_ceg': args.skip_cpp_easygraph}
flags |= {'skip_draw': args.skip_draw}
flags |= {'timeit_number': getattr(args, 'pass', None)}
# flags |= {'timeout': args.timeout if args.timeout > 0 else None}
result_dicts: list[dict] = []
first_node_args = {
'call_method_args_eg': ['first_node_eg'],
'call_method_args_nx': ['first_node_nx'],
'call_method_args_ceg': ['first_node_ceg'],
}
if method_groups is None or 'clustering' in method_groups:
# bench: clustering
for method_name in clustering_methods:
_ = eval_method(
load_func_name,
method_name,
**flags,
)
result_dicts.append(_)
if method_groups is None or 'shortest-path' in method_groups:
# bench: shortest path
# bench_shortest_path(cost_dict, g, load_func_name)
_ = eval_method(
load_func_name,
('Dijkstra', 'single_source_dijkstra_path'),
**first_node_args,
**flags,
)
result_dicts.append(_)
if method_groups is None or 'connected-components' in method_groups:
# bench: connected components
for method_name in connected_components_methods_G:
_ = eval_method(
load_func_name,
method_name,
**flags,
)
result_dicts.append(_)
for method_name in connected_components_methods_G_node:
_ = eval_method(
load_func_name,
method_name,
**first_node_args,
**flags,
)
result_dicts.append(_)
if method_groups is None or 'mst' in method_groups:
# bench: mst
for method_name in mst_methods:
_ = eval_method(
load_func_name,
method_name,
**flags,
)
result_dicts.append(_)
if method_groups is None or 'other' in method_groups:
# bench: other
for method_name in other_methods:
_ = eval_method(
load_func_name,
method_name,
**flags,
)
result_dicts.append(_)
if method_groups is None or 'new' in method_groups:
# bench: other
for method_name in new_methods:
_ = eval_method(
load_func_name,
method_name,
**flags,
)
result_dicts.append(_)
print()
from mergedeep import merge
result = merge(*result_dicts)
csv_file = f'{load_func_name.removeprefix("load_")}.csv'
csv_file_path = args.output_dir / csv_file
args.output_dir.mkdir(parents=True, exist_ok=True)
csv_file_path_s = str(csv_file_path)
json2csv(result, csv_file_path_s, append=args.append_results)
print(f'Result saved to {csv_file_path_s} .')
# print csv_file with tabulate
print(tabulate_csv(csv_file_path_s))
if __name__ == "__main__":
main()