#!/usr/bin/env bash
set -euo pipefail

ROOT=/home/yurenh2/rrm
PY=/home/yurenh2/miniconda3/envs/rrm/bin/python
cd "${ROOT}"

DIR=research/flossing/directional_lyap_perturb_eps_sweep
BASE_CKPT="${ROOT}/trm/checkpoints/Sudoku-extreme-1k-aug-1000-ACT-torch/pretrain_mlp_t_sudoku_official_gbs768_repro"
MULTI_CKPT="${ROOT}/trm/checkpoints/Sudoku-extreme-1k-aug-1000-ACT-torch/pretrain_mlp_t_sudoku_official_gbs768_multi4_loguniform_repro"
SIGMAS='0,0.001,0.003,0.01,0.03,0.1'
AFTERS='0,4,8,12'
N=1000
CAND=8
BS=16
SEED=20260608

wait_pid_file() {
  local pf="$1"
  local pid
  pid=$(cat "${pf}")
  echo "watch ${pf}: ${pid}"
  while kill -0 "${pid}" 2>/dev/null; do
    sleep 60
  done
  echo "done ${pf}: ${pid}"
}

launch_multi_eps003_on_gpu0() {
  local out=trm_multi4_best_step35805_n1000_c8_fdeps003
  local log="${DIR}/logs/${out}.log"
  local pidf="${DIR}/logs/${out}.pid"
  setsid bash -c "cd '${ROOT}' && export CUDA_VISIBLE_DEVICES='0' PYTHONUNBUFFERED=1 && exec '${PY}' research/flossing/directional_lyap_perturb_robustness.py --ckpt-root '${MULTI_CKPT}' --ckpt-name step_35805 --label trm_multi4_best --n-samples '${N}' --batch-size '${BS}' --candidates '${CAND}' --fd-eps 0.03 --sigmas '${SIGMAS}' --perturb-afters '${AFTERS}' --seed '${SEED}' --out-prefix '${DIR}/${out}'" \
    > "${log}" 2>&1 < /dev/null &
  echo $! > "${pidf}"
  echo "launched ${out}: $(cat "${pidf}")"
}

wait_pid_file "${DIR}/logs/trm_baseline_best_step58590_n1000_c8_fdeps001.pid"
launch_multi_eps003_on_gpu0
wait_pid_file "${DIR}/logs/trm_multi4_best_step35805_n1000_c8_fdeps001.pid"
wait_pid_file "${DIR}/logs/trm_baseline_best_step58590_n1000_c8_fdeps003.pid"
wait_pid_file "${DIR}/logs/trm_multi4_best_step35805_n1000_c8_fdeps003.pid"

"${PY}" research/flossing/plot_directional_lyap_perturb.py \
  --summaries \
  "${DIR}/trm_baseline_best_step58590_n1000_c8_fdeps001.summary.csv" \
  "${DIR}/trm_multi4_best_step35805_n1000_c8_fdeps001.summary.csv" \
  "${DIR}/trm_baseline_best_step58590_n1000_c8_fdeps003.summary.csv" \
  "${DIR}/trm_multi4_best_step35805_n1000_c8_fdeps003.summary.csv" \
  --out-dir "${DIR}/plots" \
  --slice-sigma 0.03

nvidia-smi --query-gpu=index,memory.used,memory.total,utilization.gpu --format=csv,noheader,nounits \
  > "${DIR}/plots/final_gpu_status.txt"