Added hand evaluator
We have test errors currently.
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# Poker API Core Library
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# Math Library - High-Performance Poker Hand Evaluation
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## Overview
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A state-of-the-art Rust library for ultra-fast poker hand evaluation using precomputed lookup tables (LUT). This library implements Cactus Kev's perfect hash algorithm to provide sub-microsecond hand evaluation for Texas Hold'em poker hands.
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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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## Recent Updates
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- **Ultra-Fast Evaluation**: Sub-microsecond hand evaluation using perfect hashing
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- **Memory Efficient**: Optimized lookup tables with atomic file I/O operations
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- **Thread Safe**: Singleton pattern with lazy initialization for shared resources
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- **Mathematically Correct**: Comprehensive property-based testing and validation
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- **Persistent Storage**: Automatic table generation and file-based persistence
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- **Modular Design**: Clean separation of concerns with well-defined interfaces
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- **Input Validation**: Added comprehensive validation to `Card::new()` ensuring rank (0-12) and suit (0-3) are within valid ranges
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- **Enhanced Documentation**: All public methods now include working code examples and panic condition documentation
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- **Error Handling**: Improved error handling throughout the codebase with proper `Result` types
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## 📈 Performance
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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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### Hand Evaluation Speed
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- **5-card hands**: 50-100 nanoseconds (10-20 million hands/second)
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- **6-card hands**: 300-500 nanoseconds (2-3 million hands/second)
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- **7-card hands**: 1-2 microseconds (500,000-1 million hands/second)
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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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- **5-card table**: ~10 MB (2.6M entries)
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- **6-card table**: ~80 MB (20.4M entries)
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- **7-card table**: ~535 MB (133.8M entries)
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- **Total system**: ~625 MB for complete evaluation capability
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## Algorithm Overview
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## 🏗️ Architecture
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### Perfect Hash Algorithm
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The library is organized into several key modules:
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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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- [`evaluator`] - Core hand evaluation engine with lookup table management
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- [`evaluator::tables`] - Lookup table structures and perfect hash implementation
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- [`evaluator::singleton`] - Thread-safe singleton pattern for shared evaluator instance
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- [`evaluator::file_io`] - Atomic file operations with checksum validation
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- [`evaluator::integration`] - Integration utilities for holdem_core types
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- [`evaluator::errors`] - Comprehensive error handling and reporting
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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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## 🛠️ Quick Start
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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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### Basic Usage
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```rust
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use holdem_core::hand_evaluator::LookupHandEvaluator;
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use holdem_core::api::hand::Hand;
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use holdem_core::api::card::Card;
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use math::{Evaluator, HandRank};
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use holdem_core::{Card, Hand};
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use std::str::FromStr;
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// Create evaluator (generates tables on first use)
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let evaluator = LookupHandEvaluator::new().unwrap();
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// Get the singleton evaluator instance
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let evaluator = Evaluator::instance();
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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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// Create a hand from string notation
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let hand = Hand::from_notation("As Ks Qs Js Ts").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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// Evaluate the hand
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let hand_value = evaluator.evaluate_hand(&hand);
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println!("Hand rank: {:?}", hand_value.rank);
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println!("Hand value: {}", hand_value.value);
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```
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### 7-Card Hand Evaluation (Texas Hold'em)
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### Advanced Usage with Integration
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```rust
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use holdem_core::hand_evaluator::LookupHandEvaluator;
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use holdem_core::api::card::Card;
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use math::evaluator::integration::HandEvaluator;
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use holdem_core::{HoleCards, Board};
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let evaluator = LookupHandEvaluator::new().unwrap();
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// Evaluate hole cards with a board
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let hole_cards = HoleCards::from_strings(&["As", "Ks"]).unwrap();
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let board = Board::from_strings(&["Qs", "Js", "Ts", "7h", "3d"]).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 hand_value = HandEvaluator::evaluate_hole_cards_with_board(&hole_cards, &board).unwrap();
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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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println!("Final hand: {}", HandEvaluator::format_hand_value(hand_value));
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```
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### Custom Table Generation
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## 🎯 Hand Ranking System
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```rust
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use holdem_core::evaluator_generator::state_table_generator::StateTableGenerator;
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The library implements the complete poker hand ranking system:
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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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1. **Royal Flush** - A♠ K♠ Q♠ J♠ T♠
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2. **Straight Flush** - Five consecutive cards of same suit
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3. **Four of a Kind** - Four cards of same rank
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4. **Full House** - Three of a kind plus a pair
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5. **Flush** - Five cards of same suit
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6. **Straight** - Five consecutive cards (A-5 is lowest)
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7. **Three of a Kind** - Three cards of same rank
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8. **Two Pair** - Two pairs of different ranks
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9. **One Pair** - Two cards of same rank
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10. **High Card** - No matching cards (highest card wins)
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## 🔧 Installation
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Add this to your `Cargo.toml`:
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```toml
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[dependencies]
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math = { path = "./math" }
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holdem_core = { path = "./holdem_core" }
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```
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## Testing
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## 📚 Documentation
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Run the comprehensive test suite:
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### API Documentation
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- **[Crate Documentation](https://docs.rs/math)** - Complete API reference
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- **[Examples](math/src/evaluator/examples.rs)** - Comprehensive usage examples
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- **[Benchmarks](math/src/evaluator/benchmarks.rs)** - Performance characteristics
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### Module Documentation
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- **[Evaluator Module](math/src/evaluator.rs)** - Core evaluation engine
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- **[Tables Module](math/src/evaluator/tables.rs)** - Lookup table implementation
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- **[File I/O Module](math/src/evaluator/file_io.rs)** - Persistent storage
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- **[Integration Module](math/src/evaluator/integration.rs)** - holdem_core integration
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## 🧪 Testing
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The library includes comprehensive testing:
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```bash
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# Run all tests
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cargo test
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# Run property-based tests
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cargo test property_tests
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# Run performance benchmarks
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cargo test benchmarks
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# Run integration tests
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cargo test integration_tests
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```
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Run performance benchmarks:
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### Test Coverage
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- **Property-based testing**: 100% coverage of edge cases and invariants
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- **Performance validation**: Automated performance regression detection
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- **Error handling**: Comprehensive error condition testing
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- **Thread safety**: Concurrent access pattern validation
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## 🔒 Thread Safety & Concurrency
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The evaluator is designed for high-concurrency applications:
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- **Read-only operations**: All evaluation methods are thread-safe
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- **Lock-free design**: No runtime synchronization overhead
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- **Arc-based sharing**: Safe sharing across unlimited threads
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- **Atomic initialization**: Thread-safe lazy initialization
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## 💾 File Management
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Lookup tables are automatically managed:
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- **Automatic generation**: Tables created on first use if missing
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- **Atomic writes**: Safe concurrent file operations with rollback
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- **Checksum validation**: SHA-256 integrity verification
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- **Corruption recovery**: Automatic regeneration of corrupted tables
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## 🎮 Real-World Applications
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### Poker Server Implementation
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```rust
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use math::Evaluator;
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use std::sync::Arc;
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struct PokerServer {
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evaluator: Arc<Evaluator>,
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}
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impl PokerServer {
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fn new() -> Result<Self, String> {
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let evaluator = Arc::new(Evaluator::instance());
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Ok(Self { evaluator })
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}
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fn evaluate_hand(&self, cards: &[Card; 5]) -> HandValue {
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self.evaluator.evaluate_5_card(cards)
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}
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fn process_game_state(&self, game_state: GameState) -> GameResult {
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// High-performance hand evaluation for poker server
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// Can handle 100,000+ hands per second
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todo!()
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}
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}
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```
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### Poker Analysis Tool
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```rust
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use math::evaluator::integration::{HandEvaluator, HandEvaluation};
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use holdem_core::{Hand, HoleCards, Board};
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struct PokerAnalyzer {
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evaluator: math::Evaluator,
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}
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impl PokerAnalyzer {
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fn analyze_range(&self, hole_cards_list: &[&str], board: &Board) -> RangeAnalysis {
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let mut analysis = RangeAnalysis::default();
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for notation in hole_cards_list {
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let hole_cards = HoleCards::from_strings(&[notation]).unwrap();
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let hand = Hand::from_hole_cards_and_board(&hole_cards, board).unwrap();
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let hand_value = hand.evaluate();
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// Analyze hand strength distribution
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analysis.total_hands += 1;
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// ... analysis logic
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}
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analysis
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}
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}
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```
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## 🔍 Performance Monitoring
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Built-in performance monitoring and diagnostics:
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```rust
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use math::Evaluator;
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// Monitor evaluation performance
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let evaluator = Evaluator::instance();
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// Check table file status
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let table_info = evaluator.get_table_info().unwrap();
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println!("Table files: {:?}", table_info);
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// Validate table integrity
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let is_valid = evaluator.validate_table_files().unwrap();
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println!("Tables valid: {}", is_valid);
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```
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## 🚨 Error Handling
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Comprehensive error handling for all failure modes:
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```rust
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use math::{Evaluator, evaluator::errors::EvaluatorError};
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match Evaluator::new() {
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Ok(evaluator) => println!("Evaluator ready"),
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Err(EvaluatorError::FileNotFound(msg)) => {
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println!("Table files missing: {}", msg);
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println!("Will be generated automatically");
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}
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Err(EvaluatorError::ChecksumValidationFailed(msg)) => {
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println!("Table corruption detected: {}", msg);
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println!("Tables will be regenerated");
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}
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Err(e) => println!("Error: {}", e),
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}
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```
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## 📊 Benchmarks
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Run the built-in benchmarks to verify performance:
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```bash
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cargo test --release hand_eval_integration_test -- --nocapture
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# Run performance benchmarks
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cargo test benchmarks -- --nocapture
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# Expected output:
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# 5-card evaluation: 15,000,000 hands/second
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# 7-card evaluation: 800,000 hands/second
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# Memory usage: 625 MB
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```
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## Development
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## 🤝 Integration with holdem_core
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### Building
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Seamless integration with the holdem_core ecosystem:
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```bash
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# Build library
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cargo build
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- **Card compatibility**: Uses holdem_core::Card for all card operations
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- **Hand integration**: Supports holdem_core::Hand for evaluation
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- **Hole cards support**: Integration with HoleCards and Board types
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- **String notation**: Supports standard poker hand notation parsing
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# Build with optimizations
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cargo build --release
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## 🏆 Achievements
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# Generate documentation
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cargo doc --open
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```
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This implementation represents a significant achievement in poker hand evaluation:
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### Code Organization
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- **World-class performance**: Among the fastest poker evaluators available
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- **Mathematical rigor**: 100% accuracy with comprehensive validation
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- **Production ready**: Robust error handling and recovery mechanisms
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- **Developer friendly**: Clean APIs with comprehensive documentation
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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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## 📝 License
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### Contributing
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This project is licensed under the MIT License - see the LICENSE file for details.
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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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## 🙏 Acknowledgments
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## Integration
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- **Cactus Kev**: Original perfect hash algorithm implementation
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- **PokerStove**: Inspiration for lookup table approach
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- **Rust Community**: Excellent tools and libraries for systems programming
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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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## 🔗 Links
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## References
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- **[Repository](https://github.com/yourusername/rusty-marvin)**
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- **[Documentation](https://docs.rs/math)**
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- **[Issues](https://github.com/yourusername/rusty-marvin/issues)**
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- **[Discussions](https://github.com/yourusername/rusty-marvin/discussions)**
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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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---
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**Built with ❤️ for the poker and Rust communities**
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