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# Mixture-of-Recursions (MoR) Requirements
# Pinned versions for reproducibility
# Core ML and Data Science
torch==2.1.2
transformers==4.36.2
datasets==2.16.1
numpy==1.26.3
pandas==2.1.4
scikit-learn==1.3.2
accelerate==0.25.0
# Efficiency & Optimization for MoR
# flash-attn==2.4.2 # Uncomment if using Flash Attention
# triton==2.1.0 # Uncomment if using Triton kernels
# xformers==0.0.23.post1 # Uncomment if using xFormers
einops==0.7.0
# Training & Evaluation
evaluate==0.4.1
wandb==0.16.1
tensorboard==2.15.1
hydra-core==1.3.2
rich==13.7.0
# Visualization (required for analysis tools)
matplotlib==3.8.2
seaborn==0.13.1
plotly==5.17.0
# Jupyter (for interactive notebooks)
jupyter==1.0.0
ipykernel==6.28.0
ipywidgets==8.1.1
# Utilities
python-dotenv==1.0.0
tqdm==4.66.1
requests==2.31.0
pyyaml==6.0.1
click==8.1.7
# Testing
pytest==7.4.4
pytest-cov==4.1.0
pytest-mock==3.12.0
# Development
black==23.12.1
isort==5.13.2
flake8==7.0.0
pre-commit==3.6.0
# Optional: API integrations (uncomment if needed)
# openai==1.6.1
# anthropic==0.8.1