requirements-lock.txt

# pip-freeze-style lockfile for reproducibility.
#
# `requirements.txt` is the loose, easy-to-install dep list (use for fast
# development setup). This file pins a security-refreshed reproduction
# environment for the repository's current code. Historical experiment
# numbers in `reports/repo_report/report.pdf` remain anchored by the
# `v1.0-first-report` snapshot; use that tag for archival reproduction.
#
# Install with:
#
#     pip install -r requirements-lock.txt
#     pip install -e .
#
# Caveats:
# - This is not transitively closed; only the direct deps from
#   `requirements.txt` plus a handful of test/lint tools are pinned.
#   Sub-dependencies are still resolved at install time. For a fully
#   reproducible lock with hashes, regenerate via pip-tools / uv.
# - Pinned versions reflect a CPU dev environment, with security refreshes
#   that are validated by the opt-in model-stack smoke test when they touch
#   torch / transformers / sentence-transformers.
#   Linux/CUDA builds may need a different torch wheel; install `torch`
#   separately from the appropriate index before running pip install.

# --- Core scientific stack ---
numpy==2.2.6
pandas==2.3.3
matplotlib==3.10.9

# --- Configuration ---
PyYAML==6.0.3

# --- Datasets and IO ---
datasets==5.0.0
ir_datasets==0.6.1
lxml==6.1.1

# --- Lexical retrieval ---
bm25s==0.3.9

# --- Dense retrieval ---
sentence-transformers==5.6.0
faiss-cpu==1.14.3

# --- Generation / reranking (transformers stack) ---
torch==2.13.0
transformers==5.12.1
# Keep tokenizers on the latest stable 0.22.x pin accepted by the
# transformers stack; 0.23.0 has no stable release.
tokenizers==0.22.2
sentencepiece==0.2.1
safetensors==0.8.0

# --- Evaluation ---
evaluate==0.4.6
rouge_score==0.1.2
sacrebleu==2.6.0
nltk==3.10.0
bert-score==0.3.13

# --- Testing / lint ---
pytest==9.1.1
ruff==0.16.0