practice #29
资源--partition=main --time=00:20:00 --cpus-per-task=1 --mem=1024M
提交目录(项目根目录)
结果score 0.666667 over 3: random 1, starter 0, swarm 1
带回
refs/jobs/29 上的 352095d · git fetch origin refs/jobs/29 && git merge FETCH_HEADfield/random/__pycache__/main.cpython-313.pycfield/starter/__pycache__/main.cpython-313.pycfield/swarm/__pycache__/main.cpython-313.pyckit/__pycache__/host.cpython-313.pyckit/__pycache__/league.cpython-313.pycmetrics.jsonreferee/__pycache__/kaggle_seat.cpython-313.pycreplays/matches.jsonreplays/random-11-seat0.jsonreplays/starter-11-seat0.jsonreplays/swarm-11-seat0.jsonroutes/__pycache__/main.cpython-313.pycslurm-29.out批处理脚本
#!/bin/bash #SBATCH --job-name=practice #SBATCH --time=20:00 # A practice run from your route: a map against each field bot in both seats, replays in replays/ (see Matches). PY=$(command -v orbit-wars-python || command -v python3) PYTHONHASHSEED=0 "$PY" -s referee/play.py practice "$SS_INPUT/$SS_ROUTE_DIR"
日志
Loading environment reinforce_tactics failed: No module named 'numpy' Loading environment halite failed: No module named 'numpy' Loading environment lux_ai_s3 failed: No module named 'numpy' Loading environment kore_fleets failed: No module named 'numpy' Loading environment open_spiel_env failed: No module named 'numpy' score 0.666667 over 3: random 1, starter 0, swarm 1
