#!/usr/bin/env bash
# Self-contained job entry script (no volume mount needed).
# Clones JustGRPO from GitHub + downloads repro.py from HF dataset.
set -e
echo "=== Job started ==="
nvidia-smi --query-gpu=name,memory.total --format=csv 2>/dev/null || echo "no nvidia-smi"
echo "Python: $(python --version)"

mkdir -p /workspace && cd /workspace

echo "=== Cloning JustGRPO repo ==="
git clone --depth 1 https://github.com/LeapLabTHU/JustGRPO 2>&1 | tail -2

echo "=== Downloading repro.py + job_entry.sh from HF dataset ==="
hf download feliksier/justgrpo-repro-code --repo-type dataset --local-dir /workspace 2>&1 | tail -3

echo "=== Installing dependencies ==="
pip install --no-input --quiet \
  "transformers==4.51.3" "datasets==3.1.0" "peft==0.17.1" \
  accelerate sympy regex word2number antlr4-python3-runtime latex2sympy2 \
  huggingface_hub numpy 2>&1 | tail -3
echo "=== Deps installed ==="

export HF_HUB_ENABLE_HF_TRANSFER=0
export TOKENIZERS_PARALLELISM=false

echo "=== Smoke test: imports ==="
python -c "
import sys; sys.path.insert(0,'JustGRPO')
import torch
print('torch', torch.__version__, 'cuda', torch.cuda.is_available(), torch.cuda.get_device_name(0) if torch.cuda.is_available() else '')
from utils.generate import generate
from utils.grader import math_equal
from utils.code_exec import evaluate_functional_correctness
print('imports OK; math_equal test:', math_equal('42','42'))
" 2>&1 | tail -10

echo "=== Running repro (C1+C2+C3) ==="
python repro.py --claim all \
  --ckpt_path nzl-thu/LLaDA-Instruct-JustGRPO-GSM8K \
  --math500_ckpt nzl-thu/LLaDA-Instruct-JustGRPO-Math500 \
  --code_ckpt nzl-thu/LLaDA-Instruct-JustGRPO-Code \
  --base_ckpt GSAI-ML/LLaDA-8B-Instruct \
  --gen_length 256 --steps 256 --block_length 32 \
  --max_examples 200 \
  --k 4 --n_problems 20 --temperature 0.7 \
  --output /tmp/results 2>&1

echo "=== Job finished ==="