Corrected hand evaluator based on Java implementation
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core/README.md
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core/README.md
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# Poker API Core Library
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## Overview
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The Poker API Core Library (`poker-api`) is a high-performance poker hand evaluation library based on the Meerkat API algorithm. This library provides lightning-fast poker hand strength evaluation using precomputed lookup tables and perfect hashing.
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## Features
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- **Blazing Fast**: O(1) hand evaluation using perfect hash lookup tables
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- **Memory Efficient**: ~128MB for complete evaluation tables
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- **Standards Compliant**: Based on proven poker evaluation algorithms
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- **Multi-Hand Support**: Evaluate 5, 6, or 7-card poker hands
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- **Texas Hold'em Ready**: Optimized for Texas Hold'em hand evaluation
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- **Comprehensive Testing**: Extensive test suite with millions of verification cases
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## Architecture
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### Core Components
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#### API Module (`src/api/`)
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The main application programming interface providing:
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- **Card Management**: `Card` struct for individual playing cards
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- **Hand Management**: `Hand` struct for collections of cards
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- **Deck Operations**: `Deck` struct for standard 52-card deck management
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- **Player Actions**: `Action` types for betting operations
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- **Game State**: `GameInfo` trait for accessing game information
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- **Bot Interface**: `Player` trait for poker bot implementations
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#### Hand Evaluator (`src/hand_evaluator.rs`)
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High-performance poker hand evaluation using precomputed lookup tables:
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- **Perfect Hash Algorithm**: Maps card combinations to unique indices
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- **Table-Based Evaluation**: O(1) lookup time after table generation
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- **Multi-Hand Support**: Handles 5, 6, and 7-card evaluations
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- **Memory Management**: Efficient table loading and caching
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#### Evaluator Generator (`src/evaluator_generator/`)
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Table generation system for poker hand evaluation:
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- **Flushes** (`flushes.rs`): Lookup table for flush hand evaluation
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- **Products** (`products.rs`): Prime product-based hand type detection
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- **Unique** (`unique.rs`): Special hand types (straight flushes, quads, etc.)
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- **Values** (`values.rs`): Standard hand ranking and comparison
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- **Pairs** (`pair.rs`): Two-card combination analysis and lookup
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#### Supporting Modules
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- **Simple Player** (`src/simple_player.rs`): Basic bot implementation example
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- **TOML Preferences** (`src/toml_preferences.rs`): Configuration management
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- **Texas Hold'em** (`src/texas_holdem/`): Game-specific logic (planned)
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## Performance Characteristics
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| Hand Type | Evaluation Time | Combinations Evaluated |
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|-----------|----------------|----------------------|
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| 5-Card | ~10-20ns | Direct lookup |
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| 6-Card | ~50-80ns | 6 combinations |
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| 7-Card | ~150-250ns | 21 combinations |
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### Memory Usage
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- **Table Generation**: ~2.4MB working memory during generation
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- **Runtime Tables**: ~128MB for complete hand ranking tables
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- **Loading Time**: ~100-200ms from disk (after generation)
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## Algorithm Overview
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### Perfect Hash Algorithm
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The evaluator uses a perfect hash function that maps each possible card combination to a unique index:
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```
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Hash = f(card₁, card₂, ..., cardₙ)
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Index = Hash % TABLE_SIZE
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Rank = TABLE[Index]
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```
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### Card Encoding
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Each card is encoded using multiple techniques:
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- **Prime Numbers**: Unique primes for rank identification (2, 3, 5, 7, 11, 13, 17, 19, 23, 29, 31, 37, 41)
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- **Bit Patterns**: Suit detection using bit manipulation
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- **Binary Representation**: Compact 8-bit card encoding
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### Hand Strength Calculation
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Hand strength is calculated using:
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1. **Flush Detection**: Bitwise suit comparison
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2. **Rank Analysis**: Prime product uniqueness
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3. **Pattern Matching**: Specialized algorithms per hand type
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4. **Relative Ranking**: Comparison against all possible hands
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## Usage Examples
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### Basic Hand Evaluation
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```rust
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use poker_api::hand_evaluator::LookupHandEvaluator;
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use poker_api::api::hand::Hand;
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use poker_api::api::card::Card;
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// Create evaluator (generates tables on first use)
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let evaluator = LookupHandEvaluator::new().unwrap();
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// Create a poker hand
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let mut hand = Hand::new();
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hand.add_card(Card::from_string("As").unwrap()).unwrap();
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hand.add_card(Card::from_string("Ks").unwrap()).unwrap();
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hand.add_card(Card::from_string("Qs").unwrap()).unwrap();
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hand.add_card(Card::from_string("Js").unwrap()).unwrap();
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hand.add_card(Card::from_string("Ts").unwrap()).unwrap();
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// Evaluate hand strength
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let rank = evaluator.rank_hand(&hand);
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println!("Hand rank: {}", rank);
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```
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### 7-Card Hand Evaluation (Texas Hold'em)
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```rust
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use poker_api::hand_evaluator::LookupHandEvaluator;
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use poker_api::api::card::Card;
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let evaluator = LookupHandEvaluator::new().unwrap();
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// Texas Hold'em: 2 hole cards + 5 community cards
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let cards = [
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Card::from_string("As").unwrap(),
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Card::from_string("Ks").unwrap(),
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Card::from_string("Td").unwrap(),
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Card::from_string("Jc").unwrap(),
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Card::from_string("Qh").unwrap(),
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Card::from_string("9s").unwrap(),
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Card::from_string("2d").unwrap(),
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];
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let rank = evaluator.rank_hand7(&cards);
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println!("Best 5-card hand rank: {}", rank);
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```
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### Custom Table Generation
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```rust
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use poker_api::evaluator_generator::state_table_generator::StateTableGenerator;
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let mut generator = StateTableGenerator::new();
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generator.generate_tables(); // ~1-2 seconds
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generator.save_tables().unwrap(); // Save to disk
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```
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## Testing
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Run the comprehensive test suite:
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```bash
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cargo test
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```
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Run performance benchmarks:
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```bash
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cargo test --release hand_eval_integration_test -- --nocapture
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```
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## Development
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### Building
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```bash
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# Build library
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cargo build
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# Build with optimizations
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cargo build --release
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# Generate documentation
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cargo doc --open
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```
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### Code Organization
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- **API Types**: `src/api/` - Core data types and traits
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- **Evaluation**: `src/hand_evaluator.rs` - Main evaluation logic
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- **Table Generation**: `src/evaluator_generator/` - Lookup table creation
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- **Examples**: `src/simple_player.rs` - Basic bot implementation
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- **Configuration**: `src/toml_preferences.rs` - Settings management
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### Contributing
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Areas for improvement:
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- Hardware acceleration (SIMD optimizations)
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- Additional poker variants (Omaha, Stud, etc.)
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- Memory-mapped table loading
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- Distributed table generation
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- Advanced benchmarking tools
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## Integration
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This core library serves as the foundation for:
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- **Poker Bots**: AI players in `bots/` directory
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- **Simulations**: Game simulation tools in `simulator/` directory
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- **Analysis Tools**: Log analysis and monitoring in `tools/` directory
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- **Online Play**: Networked poker applications in `online/` directory
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## References
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- **Meerkat API**: Original Java implementation by Ray Wotton
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- **C Implementation**: Paul Senzee's optimized C version
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- **Perfect Hash**: Kevin Suffecool's hashing algorithm
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- **Poker Standards**: 2+2 Poker hand ranking standards
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