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#!/bin/bash
# Queue 2 (procedural testbed first, then the general-mix exploratory arms). Each step logs; failures don't stop the queue.
cd /workspace/think-decide
export PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True
until grep -qE '"event": "saved"|Traceback' logs/e3_train.log; do sleep 10; done
for s in proc_test proc_dev; do # P0: S1 zero-shot (light; runs beside E3's eval)
python src/eval.py --model s1 --no-head --kmax 1 --split $s --compile --out runs/p0/$s >> logs/p0_eval.log 2>&1
done
while pgrep -f "run_arm.sh e3" > /dev/null; do sleep 15; done
scripts/run_proc_arm.sh p1 --n-think 0 --k-choices 1 > logs/p1_run.out 2>&1
scripts/run_proc_arm.sh p2o --n-think 32 --k-choices 1,2,4,8 --budget 42000 --gate-init 0.014 > logs/p2o_run.out 2>&1
scripts/run_proc_arm.sh p2s --n-think 32 --k-choices 1,2,4,8 --budget 36000 --fb-mode soft --gate-init 1.0 --gate-fixed > logs/p2s_run.out 2>&1
scripts/run_arm.sh e2o --n-think 32 --k-choices 1,2,4,8 --budget 42000 --gate-init 0.014 > logs/e2o_run.out 2>&1
scripts/run_arm.sh e2s --n-think 32 --k-choices 1,2,4,8 --budget 36000 --fb-mode soft --gate-init 1.0 --gate-fixed > logs/e2s_run.out 2>&1
python src/latency.py --model runs/e2/model.safetensors > logs/latency.log 2>&1
echo QUEUE2_DONE > logs/queue2.done

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