#!/bin/bash
# Diagnose all 10 HRM checkpoints with joint Lyapunov (512 samples each)
set -e
cd /home/yurenh2/rrm/research/flossing
source /home/yurenh2/miniconda3/etc/profile.d/conda.sh
conda activate rrm
export CUDA_VISIBLE_DEVICES=0

CKPT_ROOT="/home/yurenh2/rrm/hrm/checkpoints/Sudoku-extreme-1k-aug-1000 ACT-torch/HierarchicalReasoningModel_ACTV1 righteous-python"

for STEP in step_2604 step_5208 step_7812 step_10416 step_13020 step_15624 step_18228 step_20832 step_23436 step_26040; do
  OUT="diag_hrm_${STEP}_512.npz"
  LOG="diag_hrm_${STEP}.log"
  if [ -f "$OUT" ]; then
    echo "skip $STEP (exists)"
    continue
  fi
  echo "[$(date '+%H:%M:%S')] Starting HRM diagnostic $STEP" 
  python diagnose_hrm_joint.py \
    --ckpt-root "$CKPT_ROOT" --ckpt-name "$STEP" \
    --n-samples 512 --batch-size 32 --k-lyap 8 --t-ons 1 --seed 0 \
    --out "$OUT" > "$LOG" 2>&1
  echo "[$(date '+%H:%M:%S')] $STEP done"
done

echo "[$(date '+%H:%M:%S')] All HRM diagnostics complete"