Inconsistent APS with LiteRumble
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Quoted from APS:
The server calculates APS for each bot by:
- taking the average percentage score of all battles against each opponent separately to get an APS for each pairing,
- then averaging all pairing scores to obtain the final average.
Formally, it's
mean(challenger_score / total_score)
for each pairing.
LiteRumble seems to follow this algorithm.
However, RoboRunner is using:
sum(challenger_score) / sum(total_score)
instead for each pairing.
This causes scores calculated by RoboRunner to be different from LiteRumble.
Here is a Python script that calculates APS correctly. Use this script when you want to align with LiteRumble.
import os
import gzip
import xml.etree.ElementTree as ET
from statistics import mean
from collections import defaultdict
roborunner_dir = os.path.expanduser('~/roborunner') # replace with your roborunner directory
def get_aps_dict(bot):
scores = ET.parse(gzip.open(f'{roborunner_dir}/data/{bot}.xml.gz', 'r')).getroot()
aps_raw = defaultdict(list)
for bot_list in scores:
for battle in bot_list:
battle_scores = {}
total_score = 0
for robot_score in battle.findall('robot_score'):
name = robot_score.find('name').text
score = int(robot_score.find('score').text)
battle_scores[name] = score
total_score += score
aps = 100 * battle_scores[bot] / total_score
for name, _ in battle_scores.items():
if name != bot:
aps_raw[name].append(aps)
return dict((name, mean(aps)) for name, aps in aps_raw.items())
Update: The APS fix is now included in the newest release of my fork. A PR is also made to Voidious’s version.