Files
Grinch-AP/test/benchmark/compression/benchmark.py
black-sliver e907980ff0 MultiServer: slight optimizations (#5527)
* Core: optimize MultiServer.Client

* Core: optimize websocket compression settings
2025-10-08 02:22:34 +02:00

228 lines
7.4 KiB
Python

#!/usr/bin/env python
# based on python-websockets compression benchmark (c) Aymeric Augustin and contributors
# https://github.com/python-websockets/websockets/blob/main/experiments/compression/benchmark.py
import collections
import time
import zlib
from typing import Iterable
REPEAT = 10
WB, ML = 12, 5 # defaults used as a reference
WBITS = range(9, 16)
MEMLEVELS = range(1, 10)
def benchmark(data: Iterable[bytes]) -> None:
size: dict[int, dict[int, float]] = collections.defaultdict(dict)
duration: dict[int, dict[int, float]] = collections.defaultdict(dict)
for wbits in WBITS:
for memLevel in MEMLEVELS:
encoder = zlib.compressobj(wbits=-wbits, memLevel=memLevel)
encoded = []
print(f"Compressing {REPEAT} times with {wbits=} and {memLevel=}")
t0 = time.perf_counter()
for _ in range(REPEAT):
for item in data:
# Taken from PerMessageDeflate.encode
item = encoder.compress(item) + encoder.flush(zlib.Z_SYNC_FLUSH)
if item.endswith(b"\x00\x00\xff\xff"):
item = item[:-4]
encoded.append(item)
t1 = time.perf_counter()
size[wbits][memLevel] = sum(len(item) for item in encoded) / REPEAT
duration[wbits][memLevel] = (t1 - t0) / REPEAT
raw_size = sum(len(item) for item in data)
print("=" * 79)
print("Compression ratio")
print("=" * 79)
print("\t".join(["wb \\ ml"] + [str(memLevel) for memLevel in MEMLEVELS]))
for wbits in WBITS:
print(
"\t".join(
[str(wbits)]
+ [
f"{100 * (1 - size[wbits][memLevel] / raw_size):.1f}%"
for memLevel in MEMLEVELS
]
)
)
print("=" * 79)
print()
print("=" * 79)
print("CPU time")
print("=" * 79)
print("\t".join(["wb \\ ml"] + [str(memLevel) for memLevel in MEMLEVELS]))
for wbits in WBITS:
print(
"\t".join(
[str(wbits)]
+ [
f"{1000 * duration[wbits][memLevel]:.1f}ms"
for memLevel in MEMLEVELS
]
)
)
print("=" * 79)
print()
print("=" * 79)
print(f"Size vs. {WB} \\ {ML}")
print("=" * 79)
print("\t".join(["wb \\ ml"] + [str(memLevel) for memLevel in MEMLEVELS]))
for wbits in WBITS:
print(
"\t".join(
[str(wbits)]
+ [
f"{100 * (size[wbits][memLevel] / size[WB][ML] - 1):.1f}%"
for memLevel in MEMLEVELS
]
)
)
print("=" * 79)
print()
print("=" * 79)
print(f"Time vs. {WB} \\ {ML}")
print("=" * 79)
print("\t".join(["wb \\ ml"] + [str(memLevel) for memLevel in MEMLEVELS]))
for wbits in WBITS:
print(
"\t".join(
[str(wbits)]
+ [
f"{100 * (duration[wbits][memLevel] / duration[WB][ML] - 1):.1f}%"
for memLevel in MEMLEVELS
]
)
)
print("=" * 79)
print()
def generate_data_package_corpus() -> list[bytes]:
# compared to default 12, 5:
# 11, 4 saves 16K RAM, gives +4.6% size, -5.0% time .. +1.1% time
# 10, 4 saves 20K RAM, gives +10.2% size, -3.8% time .. +0.6% time
# 11, 3 saves 20K RAM, gives +6.5% size, +14.2% time
# 10, 3 saves 24K RAM, gives +12.8% size, +0.5% time .. +6.9% time
# NOTE: time delta is highly unstable; time is ~100ms
import warnings
with warnings.catch_warnings():
warnings.simplefilter("ignore")
from NetUtils import encode
from worlds import network_data_package
return [encode(network_data_package).encode("utf-8")]
def generate_solo_release_corpus() -> list[bytes]:
# compared to default 12, 5:
# 11, 4 saves 16K RAM, gives +0.9% size, +3.9% time
# 10, 4 saves 20K RAM, gives +1.4% size, +3.4% time
# 11, 3 saves 20K RAM, gives +1.8% size, +13.9% time
# 10, 3 saves 24K RAM, gives +2.1% size, +4.8% time
# NOTE: time delta is highly unstable; time is ~0.4ms
from random import Random
from MultiServer import json_format_send_event
from NetUtils import encode, NetworkItem
r = Random()
r.seed(0)
solo_release = []
solo_release_locations = [r.randint(1000, 1999) for _ in range(200)]
solo_release_items = sorted([r.randint(1000, 1999) for _ in range(200)]) # currently sorted by item
solo_player = 1
for location, item in zip(solo_release_locations, solo_release_items):
flags = r.choice((0, 0, 0, 0, 0, 0, 0, 1, 2, 3))
network_item = NetworkItem(item, location, solo_player, flags)
solo_release.append(json_format_send_event(network_item, solo_player))
solo_release.append({
"cmd": "ReceivedItems",
"index": 0,
"items": solo_release_items,
})
solo_release.append({
"cmd": "RoomUpdate",
"hint_points": 200,
"checked_locations": solo_release_locations,
})
return [encode(solo_release).encode("utf-8")]
def generate_gameplay_corpus() -> list[bytes]:
# compared to default 12, 5:
# 11, 4 saves 16K RAM, gives +13.6% size, +4.1% time
# 10, 4 saves 20K RAM, gives +22.3% size, +2.2% time
# 10, 3 saves 24K RAM, gives +26.2% size, +1.6% time
# NOTE: time delta is highly unstable; time is 4ms
from copy import copy
from random import Random
from MultiServer import json_format_send_event
from NetUtils import encode, NetworkItem
r = Random()
r.seed(0)
gameplay = []
observer = 1
hint_points = 0
index = 0
players = list(range(1, 10))
player_locations = {player: [r.randint(1000, 1999) for _ in range(200)] for player in players}
player_items = {player: [r.randint(1000, 1999) for _ in range(200)] for player in players}
player_receiver = {player: [r.randint(1, len(players)) for _ in range(200)] for player in players}
for i in range(0, len(player_locations[1])):
player_sequence = copy(players)
r.shuffle(player_sequence)
for finder in player_sequence:
flags = r.choice((0, 0, 0, 0, 0, 0, 0, 1, 2, 3))
receiver = player_receiver[finder][i]
item = player_items[finder][i]
location = player_locations[finder][i]
network_item = NetworkItem(item, location, receiver, flags)
gameplay.append(json_format_send_event(network_item, observer))
if finder == observer:
hint_points += 1
gameplay.append({
"cmd": "RoomUpdate",
"hint_points": hint_points,
"checked_locations": [location],
})
if receiver == observer:
gameplay.append({
"cmd": "ReceivedItems",
"index": index,
"items": [item],
})
index += 1
return [encode(gameplay).encode("utf-8")]
def main() -> None:
#corpus = generate_data_package_corpus()
#corpus = generate_solo_release_corpus()
#corpus = generate_gameplay_corpus()
corpus = generate_data_package_corpus() + generate_solo_release_corpus() + generate_gameplay_corpus()
benchmark(corpus)
print(f"raw size: {sum(len(data) for data in corpus)}")
if __name__ == "__main__":
main()