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3f6526a | 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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 | #!/bin/bash
# Parallel batch run with eval agent: multiple Frontier-CS problems concurrently,
# each with its own eval service instance on a separate port.
#
# Usage:
# ./scripts/dev/run_frontier_cs_parallel_with_agent.sh # all 172 problems, 20 parallel
# ./scripts/dev/run_frontier_cs_parallel_with_agent.sh 50 # first 50 problems, 20 parallel
# ./scripts/dev/run_frontier_cs_parallel_with_agent.sh 50 10 # first 50 problems, 10 parallel
set -euo pipefail
cd "$(dirname "$0")/../.."
PYTHON=".venv/bin/python"
# ============================================================================
# Configuration
# ============================================================================
NUM_PROBLEMS="${1:-all}"
CONCURRENCY="${2:-20}"
GENS=50
SEED_MODEL="gemini3pro"
LLM_MODELS="native-gemini-3-flash-preview"
BASE_PORT=8760 # eval services get ports 8760, 8761, 8762, ...
EVAL_TRIGGER_MODE="periodic"
EVAL_TRIGGER_INTERVAL=5
TIMESTAMP="$(date +%Y%m%d_%H%M%S)"
EXP_NAME="agent_g${GENS}"
RUN_DIR="results/frontier_cs_algorithmic/${EXP_NAME}_${TIMESTAMP}"
PROBLEMS_DIR="tasks/Frontier-CS/algorithmic/problems"
SOLUTIONS_DIR="tasks/Frontier-CS/algorithmic/solutions"
LOG_DIR="logs/frontier_cs_parallel_agent"
mkdir -p "${LOG_DIR}"
# ============================================================================
# Collect valid problem IDs
# ============================================================================
ALL_PIDS=()
for pid in $(ls "${PROBLEMS_DIR}" | sort -n); do
if [ -d "${SOLUTIONS_DIR}/${pid}" ]; then
ALL_PIDS+=("${pid}")
fi
done
if [ "${NUM_PROBLEMS}" = "all" ]; then
PIDS=("${ALL_PIDS[@]}")
else
PIDS=("${ALL_PIDS[@]:0:${NUM_PROBLEMS}}")
fi
echo "========================================"
echo "Frontier-CS Parallel Batch (with eval agent)"
echo "========================================"
echo " Problems: ${#PIDS[@]} / ${#ALL_PIDS[@]} available"
echo " Concurrency: ${CONCURRENCY}"
echo " Generations: ${GENS}"
echo " Seed model: ${SEED_MODEL}"
echo " LLM: ${LLM_MODELS}"
echo " Run dir: ${RUN_DIR}"
echo " Eval ports: ${BASE_PORT}-$((BASE_PORT + CONCURRENCY - 1))"
echo " Trigger: ${EVAL_TRIGGER_MODE} every ${EVAL_TRIGGER_INTERVAL} gens"
echo " Logs: ${LOG_DIR}/"
echo "========================================"
echo ""
# ============================================================================
# Track all background PIDs for cleanup
# ============================================================================
ALL_SERVICE_PIDS=()
cleanup() {
echo ""
echo "Cleaning up eval services..."
for spid in "${ALL_SERVICE_PIDS[@]+"${ALL_SERVICE_PIDS[@]}"}"; do
kill "${spid}" 2>/dev/null || true
done
# Also kill any child processes
jobs -p | xargs -r kill 2>/dev/null || true
echo "Done."
}
trap cleanup EXIT INT TERM
# ============================================================================
# Start/stop eval service helpers
# ============================================================================
start_eval_service() {
local port="$1"
local log_file="${LOG_DIR}/eval_service_port_${port}.log"
local url="http://localhost:${port}"
# Check if already running on this port
if curl -s "${url}/api/v1/status" > /dev/null 2>&1; then
echo " Eval service already running on port ${port}"
return 0
fi
${PYTHON} eval_agent/ev2_service_standalone.py \
--host "0.0.0.0" --port "${port}" \
> "${log_file}" 2>&1 &
local spid=$!
ALL_SERVICE_PIDS+=("${spid}")
# Wait for ready (up to 20s)
for i in $(seq 1 20); do
if curl -s "${url}/api/v1/status" > /dev/null 2>&1; then
echo " Eval service ready on port ${port} (pid=${spid})"
return 0
fi
sleep 1
done
echo " ERROR: Eval service failed to start on port ${port}"
return 1
}
# ============================================================================
# Worker function: run one problem with its own eval service
# ============================================================================
run_problem_with_agent() {
local pid="$1"
local port="$2"
local url="http://localhost:${port}"
export FRONTIER_CS_PROBLEM_ID="${pid}"
export FRONTIER_CS_JUDGE_URL="http://localhost:8081"
${PYTHON} tasks/frontier_cs_entry/run_experiment.py \
--experiment-name "${EXP_NAME}" \
--problem-id "${pid}" \
--seed-model "${SEED_MODEL}" \
--num-generations "${GENS}" \
--max-parallel-jobs 1 \
--edit-backend single_shot_patch \
--llm-models ${LLM_MODELS} \
--run-dir "${RUN_DIR}" \
--use-eval-service \
--eval-service-url "${url}" \
--eval-trigger-mode "${EVAL_TRIGGER_MODE}" \
--eval-trigger-interval "${EVAL_TRIGGER_INTERVAL}" \
--use-wandb \
--wandb-project frontier-cs \
--wandb-tags frontier_cs agent problem_${pid} \
--verbose \
> "${LOG_DIR}/problem_${pid}.log" 2>&1
local status=$?
if [ ${status} -eq 0 ]; then
echo "DONE problem ${pid} (port ${port})"
else
echo "FAIL problem ${pid} (port ${port}, see ${LOG_DIR}/problem_${pid}.log)"
fi
return ${status}
}
# ============================================================================
# Start eval services (one per concurrency slot)
# ============================================================================
echo "Starting ${CONCURRENCY} eval services..."
for slot in $(seq 0 $((CONCURRENCY - 1))); do
port=$((BASE_PORT + slot))
start_eval_service "${port}"
done
echo ""
# ============================================================================
# Run problems in parallel, assigning to available slots
# ============================================================================
# Slot tracking: which slot is free
SLOT_PIDS=() # bash PID per slot (0 = free)
SLOT_PROBLEMS=() # problem ID per slot
for slot in $(seq 0 $((CONCURRENCY - 1))); do
SLOT_PIDS+=(0)
SLOT_PROBLEMS+=("")
done
DONE=0
FAILED=0
TOTAL=${#PIDS[@]}
IDX=0
while [ ${IDX} -lt ${TOTAL} ] || [ "$(echo "${SLOT_PIDS[@]}" | tr ' ' '\n' | grep -cv '^0$')" -gt 0 ]; do
# Check for finished slots
for slot in $(seq 0 $((CONCURRENCY - 1))); do
if [ "${SLOT_PIDS[$slot]}" -ne 0 ]; then
if ! kill -0 "${SLOT_PIDS[$slot]}" 2>/dev/null; then
# Job finished
wait "${SLOT_PIDS[$slot]}" 2>/dev/null
if [ $? -eq 0 ]; then
DONE=$((DONE + 1))
else
FAILED=$((FAILED + 1))
fi
SLOT_PIDS[$slot]=0
SLOT_PROBLEMS[$slot]=""
fi
fi
done
# Assign problems to free slots
for slot in $(seq 0 $((CONCURRENCY - 1))); do
if [ "${SLOT_PIDS[$slot]}" -eq 0 ] && [ ${IDX} -lt ${TOTAL} ]; then
pid="${PIDS[$IDX]}"
port=$((BASE_PORT + slot))
echo "START problem ${pid} on slot ${slot} (port ${port}) [${DONE}+${FAILED}/${TOTAL} complete]"
run_problem_with_agent "${pid}" "${port}" &
SLOT_PIDS[$slot]=$!
SLOT_PROBLEMS[$slot]="${pid}"
IDX=$((IDX + 1))
fi
done
sleep 2
done
echo ""
echo "========================================"
echo "Parallel batch with agent complete"
echo " Succeeded: ${DONE}"
echo " Failed: ${FAILED}"
echo " Total: ${TOTAL}"
echo " Logs: ${LOG_DIR}/"
echo "========================================"
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