File size: 5,379 Bytes
dd138ec | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 | """
Dyadic (2-model) combinatorial sweep for the divsim paper.
Enumerates all ordered pairs from the 5 paper models, crossed with 5 persona seeds,
for a total of C(5,2)×2×5 = 100 configurations. Each configuration launches one
run of the OASIS simulator in hetero mode.
Configuration is read from environment variables:
RUNS_DIR — output directory for .db files (required)
VENV_PATH — path to the Python venv with oasis installed
OASIS_RUNNER — path to run_v9.py (defaults to <this_dir>/../oasis/run_v9.py)
LOGS_DIR — directory for per-run log files
Usage:
python sweep_dyadic.py --dry-run # print all configs, no launch
python sweep_dyadic.py --mode 2model # all 2-model runs (default)
python sweep_dyadic.py --max-parallel 2 # limit concurrent runs
python sweep_dyadic.py --skip-existing # skip runs whose DB already exists
"""
import argparse
import itertools
import os
import subprocess
import time
from pathlib import Path
RUNS_DIR = Path(os.environ.get("RUNS_DIR", "./runs"))
VENV = os.environ.get("VENV_PATH", str(Path(__file__).parent.parent / ".venv"))
RUNNER = Path(os.environ.get("OASIS_RUNNER",
str(Path(__file__).parent.parent / "oasis" / "run_v9.py")))
LOGS_DIR = Path(os.environ.get("LOGS_DIR", "./logs/sweep"))
MODELS = {
"qwen": ("Qwen/Qwen3-32B", "http://localhost:8002/v1"),
"oss": ("openai/gpt-oss-20b", "http://localhost:8003/v1"),
"mag": ("mistralai/Magistral-Small-2509", "http://localhost:8004/v1"),
"glm": ("zai-org/GLM-4-32B-0414", "http://localhost:8007/v1"),
"gem": ("google/gemma-4-31B-it", "http://localhost:8009/v1"),
}
MODEL_KEYS = list(MODELS.keys())
SEEDS = [42, 137, 271, 314, 999]
STEPS = 100
N_AGENTS = 20 # 10 per group
def run_id(a: str, b: str, seed: int) -> str:
return f"sweep_{a[:3]}_{b[:3]}_s{seed}"
def db_is_valid(db: Path) -> bool:
"""Return True if the DB has enough data to be considered a complete run."""
if not db.exists():
return False
try:
import sqlite3
conn = sqlite3.connect(db)
nu = conn.execute("SELECT COUNT(DISTINCT user_id) FROM comment").fetchone()[0]
nc = conn.execute("SELECT COUNT(*) FROM comment").fetchone()[0]
conn.close()
return nu >= 18 and nc >= 200
except Exception:
return False
def launch(a: str, b: str, seed: int, dry_run: bool) -> dict:
rid = run_id(a, b, seed)
db = RUNS_DIR / f"{rid}.db"
log = LOGS_DIR / f"{rid}.log"
ma, mb = MODELS[a], MODELS[b]
env = {
**os.environ,
"VLLM_URL_A": ma[1], "MODEL_NAME_A": ma[0],
"VLLM_URL_B": mb[1], "MODEL_NAME_B": mb[0],
"OASIS_DB_PATH": str(db),
}
cmd = [
f"{VENV}/bin/python3", str(RUNNER),
"--mode", "hetero",
"--steps", str(STEPS),
"--agents", str(N_AGENTS),
"--seed-posts", str(N_AGENTS),
"--activate-prob", "0.3",
"--rng-seed", str(seed),
"--db", str(db),
]
if dry_run:
print(f" [DRY] {rid} A={a}({ma[0]}) B={b}({mb[0]}) seed={seed}")
return {"rid": rid, "proc": None}
LOGS_DIR.mkdir(parents=True, exist_ok=True)
RUNS_DIR.mkdir(parents=True, exist_ok=True)
with open(log, "w") as lf:
proc = subprocess.Popen(cmd, env=env, stdout=lf, stderr=lf)
print(f" [{rid}] PID={proc.pid} A={a} B={b} seed={seed}")
return {"rid": rid, "proc": proc}
def all_configs():
configs = []
for pair in itertools.combinations(MODEL_KEYS, 2):
for perm in itertools.permutations(pair):
for seed in SEEDS:
configs.append((perm[0], perm[1], seed))
return configs
def main():
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument("--dry-run", action="store_true",
help="Print configs without launching.")
parser.add_argument("--max-parallel", type=int, default=2,
help="Maximum concurrent runs.")
parser.add_argument("--skip-existing", action="store_true", default=True,
help="Skip runs whose DB already exists and is valid.")
args = parser.parse_args()
configs = all_configs()
print(f"Dyadic sweep: {len(configs)} configs "
f"(C(5,2)×2 ordered pairs × {len(SEEDS)} seeds)")
print(f"Seeds: {SEEDS} max_parallel: {args.max_parallel} "
f"dry_run: {args.dry_run}")
active = []
for a, b, seed in configs:
active = [r for r in active if r["proc"] and r["proc"].poll() is None]
while len(active) >= args.max_parallel:
time.sleep(10)
active = [r for r in active if r["proc"] and r["proc"].poll() is None]
if args.skip_existing:
db = RUNS_DIR / f"{run_id(a, b, seed)}.db"
if db_is_valid(db):
print(f" [skip] {run_id(a, b, seed)} (valid DB exists)")
continue
r = launch(a, b, seed, args.dry_run)
if r["proc"]:
active.append(r)
time.sleep(2)
for r in active:
if r["proc"]:
r["proc"].wait()
print("All dyadic configs done.")
if __name__ == "__main__":
main()
|