#!/usr/bin/env bash set -euo pipefail DELAY_SECONDS="${DELAY_SECONDS:-3600}" REPO_ID="${REPO_ID:-ASTERIZER/tokeniser}" REPO_TYPE="${REPO_TYPE:-space}" ZIP_NAME="${ZIP_NAME:-DATA.7z}" WORK_ROOT="${WORK_ROOT:-/workspace}" BUNDLE_DIR="${BUNDLE_DIR:-${WORK_ROOT}/Tokenizer}" DATA_ROOT="${DATA_ROOT:-${WORK_ROOT}/DATA}" RUNS_ROOT="${RUNS_ROOT:-${DATA_ROOT}/runs}" UPLOAD_PATH="${UPLOAD_PATH:-artifacts/runs/final}" export HF_HUB_ENABLE_HF_TRANSFER=1 export HF_XET_HIGH_PERFORMANCE=1 mkdir -p "${WORK_ROOT}" echo "[delay] sleeping ${DELAY_SECONDS}s before starting unattended run" sleep "${DELAY_SECONDS}" python3 -m pip install -U "huggingface_hub[hf_transfer]" datasets tokenizers tiktoken transformers sentencepiece python3 - <<'PY' import os from huggingface_hub import hf_hub_download, snapshot_download repo_id = os.environ['REPO_ID'] repo_type = os.environ['REPO_TYPE'] work_root = os.environ['WORK_ROOT'] bundle_dir = os.environ['BUNDLE_DIR'] zip_name = os.environ['ZIP_NAME'] token = os.environ.get('HF_TOKEN') patterns = [ 'asterizer.py', 'hf_space_bridge.py', 'README.md', 'requirements.txt', 'sources.lock.json', 'source.lock.json', '*.sh', '*.md', ] snapshot_download( repo_id=repo_id, repo_type=repo_type, local_dir=bundle_dir, local_dir_use_symlinks=False, allow_patterns=patterns, token=token, ) hf_hub_download( repo_id=repo_id, repo_type=repo_type, filename=zip_name, local_dir=work_root, local_dir_use_symlinks=False, token=token, ) print('[hf] bundle + archive downloaded') PY 7z t "${WORK_ROOT}/${ZIP_NAME}" 7z x "${WORK_ROOT}/${ZIP_NAME}" -o"${WORK_ROOT}" cd "${BUNDLE_DIR}" python3 asterizer.py --vocab 32K,64K,128K --gb 240 --yes --require-lock --allow-license-review --runs-root "${RUNS_ROOT}" --prepared-data-dir "${RUNS_ROOT}/data_240gb" if [[ -n "${HF_TOKEN:-}" ]]; then python3 hf_space_bridge.py upload-runs --repo-id "${REPO_ID}" --repo-type "${REPO_TYPE}" --runs-dir "${RUNS_ROOT}" --path-in-repo "${UPLOAD_PATH}" else echo "[upload] HF_TOKEN not set; skipping artifact upload" fi