- Extract WebSocket handlers from main.py into handlers.py - Add V3 feature docs (dealer rotation, dealing animation, round end reveal, column pair celebration, final turn urgency, opponent thinking, score tallying, card hover/selection, knock early drama, column pair indicator, swap animation improvements, draw source distinction, card value tooltips, active rules context, discard pile history, realistic card sounds) - Add V3 refactoring docs (ai.py, main.py/game.py, misc improvements) - Add installation guide with Docker, systemd, and nginx setup - Add helper scripts (install.sh, dev-server.sh, docker-build.sh) - Add animation flow diagrams documentation - Add test files for handlers, rooms, and V3 features - Add e2e test specs for V3 features - Update README with complete project structure and current tech stack - Update CLAUDE.md with full architecture tree and server layer descriptions - Update .env.example to reflect PostgreSQL (remove SQLite references) - Update .gitignore to exclude virtualenv files, .claude/, and .db files - Remove tracked virtualenv files (bin/, lib64, pyvenv.cfg) - Remove obsolete game_log.py (SQLite) and games.db Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
207 lines
8.9 KiB
Markdown
207 lines
8.9 KiB
Markdown
# Golf Card Game
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A real-time multiplayer 6-card Golf card game with AI opponents, smooth anime.js animations, and extensive house rules support.
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## Features
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- **Real-time Multiplayer:** 2-6 players via WebSocket
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- **AI Opponents:** 8 unique CPU personalities with distinct play styles
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- **House Rules:** 15+ optional rule variants
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- **Smooth Animations:** Anime.js-powered card dealing, drawing, swapping, and flipping
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- **User Accounts:** Registration, login, email verification
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- **Stats & Leaderboards:** Player statistics, win rates, and rankings
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- **Game Replay:** Review completed games with full playback
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- **Admin Tools:** User management, game moderation, system monitoring
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- **Event Sourcing:** Full game history stored for replay and analysis
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- **Production Ready:** Docker, systemd, nginx, rate limiting, Sentry integration
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## Quick Start
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```bash
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# Install dependencies
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pip install -r server/requirements.txt
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# Run the server
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python server/main.py
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# Visit http://localhost:8000
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```
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For full installation instructions (Docker, production deployment, etc.), see [INSTALL.md](INSTALL.md).
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## How to Play
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**6-Card Golf** is a card game where you try to get the **lowest score** across multiple rounds (holes).
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- Each player has 6 cards in a 2x3 grid (most start face-down)
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- On your turn: **draw** a card, then **swap** it with one of yours or **discard** it
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- **Column pairs** (same rank top & bottom) score **0 points** — very powerful!
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- When any player reveals all 6 cards, everyone else gets one final turn
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- Lowest total score after all rounds wins
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**For detailed rules, card values, and house rule explanations, see the in-game Rules page or [server/RULES.md](server/RULES.md).**
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## AI Personalities
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| Name | Style | Description |
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|------|-------|-------------|
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| Sofia | Calculated & Patient | Conservative, low risk |
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| Maya | Aggressive Closer | Goes out early |
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| Priya | Pair Hunter | Holds cards hoping for pairs |
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| Marcus | Steady Eddie | Balanced, consistent |
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| Kenji | Risk Taker | High variance plays |
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| Diego | Chaotic Gambler | Unpredictable |
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| River | Adaptive Strategist | Adjusts to game state |
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| Sage | Sneaky Finisher | Aggressive end-game |
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## House Rules
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The game supports 15+ optional house rules including:
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- **Flip Modes** - Standard, Speed Golf (must flip after discard), Suspense (optional flip near endgame)
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- **Point Modifiers** - Super Kings (-2), Ten Penny (10=1), Lucky Swing Joker (-5)
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- **Bonuses & Penalties** - Knock bonus/penalty, Underdog bonus, Tied Shame, Blackjack (21->0)
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- **Joker Variants** - Standard, Eagle Eye (paired Jokers = -8)
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See the in-game Rules page or [server/RULES.md](server/RULES.md) for complete explanations.
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## Development
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### Project Structure
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```
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golfgame/
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├── server/ # Python FastAPI backend
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│ ├── main.py # HTTP routes, WebSocket server, lifespan
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│ ├── game.py # Core game logic, state machine
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│ ├── ai.py # CPU opponent AI with timing/personality
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│ ├── handlers.py # WebSocket message handlers
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│ ├── room.py # Room/lobby management
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│ ├── config.py # Environment configuration (pydantic)
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│ ├── constants.py # Card values, game constants
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│ ├── auth.py # Authentication (JWT, passwords)
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│ ├── logging_config.py # Structured logging setup
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│ ├── simulate.py # AI-vs-AI simulation runner
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│ ├── game_analyzer.py # Decision analysis CLI
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│ ├── score_analysis.py # Score distribution analysis
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│ ├── routers/ # FastAPI route modules
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│ │ ├── auth.py # Login, signup, verify endpoints
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│ │ ├── admin.py # Admin management endpoints
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│ │ ├── stats.py # Statistics & leaderboard endpoints
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│ │ ├── replay.py # Game replay endpoints
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│ │ └── health.py # Health check endpoints
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│ ├── services/ # Business logic layer
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│ │ ├── auth_service.py # User authentication
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│ │ ├── admin_service.py # Admin tools
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│ │ ├── stats_service.py # Player statistics & leaderboards
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│ │ ├── replay_service.py # Game replay functionality
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│ │ ├── game_logger.py # PostgreSQL game move logging
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│ │ ├── spectator.py # Spectator mode
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│ │ ├── email_service.py # Email notifications (Resend)
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│ │ ├── recovery_service.py # Account recovery
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│ │ └── ratelimit.py # Rate limiting
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│ ├── stores/ # Data persistence layer
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│ │ ├── event_store.py # PostgreSQL event sourcing
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│ │ ├── user_store.py # User persistence
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│ │ ├── state_cache.py # Redis state caching
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│ │ └── pubsub.py # Pub/sub messaging
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│ ├── models/ # Data models
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│ │ ├── events.py # Event types for event sourcing
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│ │ ├── game_state.py # Game state representation
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│ │ └── user.py # User data model
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│ ├── middleware/ # Request middleware
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│ │ ├── security.py # CORS, CSP, security headers
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│ │ ├── request_id.py # Request ID tracking
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│ │ └── ratelimit.py # Rate limiting middleware
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│ ├── RULES.md # Rules documentation
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│ └── test_*.py # Test files
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│
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├── client/ # Vanilla JS frontend
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│ ├── index.html # Main game page
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│ ├── app.js # Main game controller
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│ ├── card-animations.js # Unified anime.js animation system
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│ ├── card-manager.js # DOM management for cards
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│ ├── animation-queue.js # Animation sequencing
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│ ├── timing-config.js # Centralized timing configuration
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│ ├── state-differ.js # Diff game state for animations
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│ ├── style.css # Styles (NO card transitions)
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│ ├── admin.html # Admin panel
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│ ├── admin.js # Admin panel interface
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│ ├── admin.css # Admin panel styles
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│ ├── replay.js # Game replay viewer
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│ ├── leaderboard.js # Leaderboard display
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│ └── ANIMATIONS.md # Animation system documentation
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│
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├── scripts/ # Helper scripts
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│ ├── install.sh # Interactive installer
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│ ├── dev-server.sh # Development server launcher
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│ └── docker-build.sh # Docker image builder
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│
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├── docs/ # Architecture documentation
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│ ├── ANIMATION-FLOWS.md # Animation flow diagrams
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│ ├── v2/ # V2 architecture docs
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│ └── v3/ # V3 feature & refactoring docs
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│
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├── tests/e2e/ # End-to-end tests (Playwright)
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├── docker-compose.dev.yml # Dev Docker services (PostgreSQL + Redis)
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├── docker-compose.prod.yml # Production Docker setup
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├── Dockerfile # Container definition
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├── pyproject.toml # Python project metadata
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├── INSTALL.md # Installation & deployment guide
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├── CLAUDE.md # Project context for AI assistants
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└── README.md
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```
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### Running Tests
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```bash
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# All server tests
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cd server && pytest -v
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# Specific test files
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pytest test_game.py test_ai_decisions.py test_handlers.py test_room.py -v
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# With coverage
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pytest --cov=. --cov-report=term-missing
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```
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### AI Simulation
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```bash
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# Run 500 games and check dumb move rate
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python server/simulate.py 500
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# Detailed single game output
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python server/simulate.py 1 --detailed
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# Compare rule presets
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python server/simulate.py 100 --compare
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# Analyze AI decisions for blunders
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python server/game_analyzer.py blunders
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# Score distribution analysis
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python server/score_analysis.py 100
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```
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### AI Performance
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From testing (1000+ games):
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- **0 blunders** detected in simulation
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- **Median score:** 12 points
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- **Score range:** -4 to 34 (typical)
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- Personalities influence style without compromising competence
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## Technology Stack
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- **Backend:** Python 3.11+, FastAPI, WebSockets
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- **Frontend:** Vanilla HTML/CSS/JavaScript, anime.js (animations)
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- **Database:** PostgreSQL (event sourcing, auth, stats, game logs)
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- **Cache:** Redis (state caching, pub/sub)
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- **Testing:** pytest, Playwright (e2e)
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- **Deployment:** Docker, systemd, nginx
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## License
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MIT
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