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# divsim reproducibility bundle — Python dependencies
# Tested on Python 3.12, Linux (RHEL 9)

# ── OASIS / CAMEL core ────────────────────────────────────────────────────────
camel-ai>=0.1.6
pandas==2.2.2
igraph==0.11.6
cairocffi==1.7.1

# ── vLLM (model serving) ──────────────────────────────────────────────────────
# Pin to 0.19.0 — the exact version used in all paper experiments.
# Later versions may change scheduler behavior; see env/vllm_version.md.
vllm==0.19.0

# ── HuggingFace model download ────────────────────────────────────────────────
huggingface-hub>=0.23.0
transformers>=4.47.0

# ── Analysis scripts ──────────────────────────────────────────────────────────
numpy>=1.26.0
matplotlib>=3.9.0
scikit-learn>=1.5.0     # classifiers + SVD (content analyses, variance_cpp)
scipy>=1.13.0           # sparse TF-IDF matrices (lexical_table.py, etc.)

# ── Utilities ─────────────────────────────────────────────────────────────────
requests>=2.32.0