constraint-functions/
├── LICENSE # MIT License
├── README.md # Project overview and introduction
├── CONTRIBUTING.md # Guidelines for contributors
├── CODE_OF_CONDUCT.md # Community standards
├── .github/ # GitHub-specific files
│ ├── ISSUE_TEMPLATE/ # Templates for issues
│ └── workflows/ # CI/CD workflows
│
├── docs/ # Documentation
│ ├── theory/ # Theoretical foundations
│ │ ├── universal_residue_equation.md # Mathematical foundations of Σ = C(S + E)^r
│ │ ├── acceleration_equation.md # The Constraint Acceleration Equation
│ │ ├── transformations.md # The five transformations
│ │ ├── beverly_band.md # Safe exploration under constraint
│ │ └── glossary.md # Terminology and definitions
│ │
│ ├── tutorials/ # Step-by-step guides
│ │ ├── getting_started.md # Introduction to constraint functions
│ │ ├── constraint_profiling.md # How to profile model constraint responses
│ │ ├── constraint_engineering.md # Guide to designing effective constraints
│ │ └── acceleration_measurement.md # How to measure acceleration factors
│ │
│ ├── papers/ # Academic publications
│ │ ├── neurips_constraint_function.pdf # Main paper on constraint as fundamental substrate
│ │ └── constraint_acceleration.pdf # Paper on leveraging constraint for acceleration
│ │
│ └── case_studies/ # Real-world applications
│ ├── language_model.md # Case study: Language model acceleration
│ ├── reinforcement_learning.md # Case study: RL agent acceleration
│ └── multimodal_systems.md # Case study: Multi-modal system acceleration
│
├── constraint_functions/ # Core library
│ ├── __init__.py # Package initialization
│ ├── core/ # Core functionality
│ │ ├── __init__.py
│ │ ├── equations.py # Implementation of core equations
│ │ ├── constraint_types.py # Types of constraints and their properties
│ │ ├── acceleration.py # Acceleration mechanisms
│ │ └── metrics.py # Measurement and evaluation metrics
│ │
│ ├── profiling/ # Constraint profiling tools
│ │ ├── __init__.py
│ │ ├── analyzer.py # Constraint response analyzer
│ │ ├── visualizer.py # Visualization of constraint effects
│ │ └── optimizer.py # Constraint configuration optimizer
│ │
│ ├── engineering/ # Constraint engineering tools
│ │ ├── __init__.py
│ │ ├── patterns.py # Constraint design patterns
│ │ ├── schedules.py # Graduated constraint schedules
│ │ └── monitoring.py # Response monitoring tools
│ │
│ ├── architectures/ # Architecture-specific implementations
│ │ ├── __init__.py
│ │ ├── transformers.py # Transformer-specific constraint methods
│ │ ├── mlp_mixer.py # MLP-Mixer-specific constraint methods
│ │ └── state_space.py # State Space Model-specific constraint methods
│ │
│ └── frameworks/ # ML framework integrations
│ ├── __init__.py
│ ├── pytorch.py # PyTorch integration
│ ├── tensorflow.py # TensorFlow integration
│ └── jax.py # JAX integration
│
├── examples/ # Example implementations
│ ├── language_models/ # Language model examples
│ │ ├── constrained_transformer.py # Constrained transformer implementation
│ │ └── acceleration_demo.ipynb # Jupyter notebook demonstrating acceleration
│ │
│ ├── reinforcement_learning/ # RL examples
│ │ ├── constrained_agent.py # Constrained RL agent implementation
│ │ └── policy_acceleration.ipynb # Notebook showing policy development acceleration
│ │
│ └── vision/ # Vision model examples
│ ├── constrained_vision.py # Constrained vision model implementation
│ └── feature_acceleration.ipynb # Notebook showing feature hierarchy acceleration
│
├── experiments/ # Experiment code and results
│ ├── benchmarks/ # Standardized benchmark suite
│ │ ├── constraint_benchmark.py # Benchmark implementation
│ │ └── baseline_comparisons.py # Comparison with baselines
│ │
│ ├── results/ # Experimental results
│ │ ├── language_model_results.csv # Results from language model experiments
│ │ ├── rl_results.csv # Results from RL experiments
│ │ └── vision_results.csv # Results from vision experiments
│ │
│ └── notebooks/ # Analysis notebooks
│ ├── result_analysis.ipynb # Analysis of experimental results
│ └── visualization.ipynb # Visualization of key findings
│
├── tools/ # Standalone tools
│ ├── constraint_profiler.py # Command-line constraint profiling tool
│ ├── optimizer_service.py # Constraint optimization service
│ └── visualization_dashboard.py # Interactive visualization dashboard
│
└── tests/ # Test suite
├── unit/ # Unit tests
│ ├── test_equations.py # Tests for core equations
│ ├── test_constraint_types.py # Tests for constraint types
│ └── test_acceleration.py # Tests for acceleration mechanisms
│
├── integration/ # Integration tests
│ ├── test_profiling.py # Tests for profiling tools
│ ├── test_engineering.py # Tests for engineering tools
│ └── test_frameworks.py # Tests for framework integrations
│
└── system/ # System tests
├── test_language_models.py # End-to-end tests for language models
├── test_rl.py # End-to-end tests for RL
└── test_vision.py # End-to-end tests for vision models