Corrected hand evaluator
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9 changed files with 3599 additions and 149 deletions
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name = "poker-api"
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version = "0.1.0"
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edition = "2021"
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authors = ["Poker API Team"]
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description = "High-performance poker hand evaluation library based on the Meerkat API algorithm"
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authors = ["Jan-Peter v. Hunnius"]
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description = "Java-compatible poker hand evaluation library for bot testing frameworks - implements Meerkat API algorithm with full Java compatibility for poker bot development and testing"
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readme = "README.md"
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license = "MIT"
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repository = "https://github.com/your-org/poker-api"
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repository = "https://github.com/jhunnius/rusty_marvin"
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documentation = "https://docs.rs/poker-api"
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homepage = "https://github.com/your-org/poker-api"
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keywords = ["poker", "hand-evaluation", "texas-holdem", "gaming", "cards"]
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keywords = ["poker", "bot-testing", "hand-evaluation", "texas-holdem", "meerkat-api", "poker-bots", "testbed", "gaming", "cards"]
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categories = ["games", "api-bindings", "mathematics"]
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exclude = ["docs/*", "target/*", "*.md"]
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@ -1,22 +1,41 @@
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//! # Poker API Module
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//! # Poker API Module - Bot Testing Framework
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//!
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//! This module provides the core application programming interface (API) for the poker
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//! hand evaluation library. It contains all the essential types, traits, and functionality
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//! needed to work with poker cards, hands, players, and game state.
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//! This module provides the core application programming interface (API) specifically
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//! designed for poker bot testing and development. It offers Java-compatible types,
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//! traits, and functionality optimized for automated poker bot testing frameworks,
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//! ensuring consistent behavior across different poker tools and testing environments.
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//!
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//! ## Poker Testbed Context
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//!
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//! The API module serves as the foundation for comprehensive poker bot testing:
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//! - **Bot Development**: Standardized interfaces for poker bot implementations
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//! - **Testing Frameworks**: Consistent APIs for automated bot testing scenarios
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//! - **Tool Integration**: Java-compatible interfaces for existing poker tool ecosystems
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//! - **Performance Testing**: Efficient data structures for high-performance bot evaluation
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//! - **Cross-Platform Testing**: Consistent behavior across different poker environments
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//!
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//! ## Java Compatibility Design
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//!
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//! All API components maintain strict Java compatibility:
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//! - **Card Encoding**: Uses Java Meerkat API card representation standards
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//! - **Hand Evaluation**: Compatible with Java poker hand evaluation results
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//! - **Action Types**: Matches Java poker action semantics and behavior
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//! - **Game State**: Provides Java-compatible game state information
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//! - **Observer Pattern**: Event system compatible with Java poker frameworks
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//!
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//! ## Module Overview
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//!
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//! The API module is organized into several key areas:
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//! - **Card Management**: [`card`] - Individual playing card representation
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//! - **Hand Management**: [`hand`] - Collections of cards for poker hands
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//! - **Deck Operations**: [`deck`] - Standard 52-card deck with shuffling
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//! - **Player Actions**: [`action`] - Betting actions and action types
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//! - **Player Interface**: [`player`] - Bot interface and player trait
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//! - **Game Information**: [`game_info`] - Game state and information access
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//! - **Game Observation**: [`game_observer`] - Event-driven game state updates
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//! - **Player Information**: [`player_info`] - Individual player state queries
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//! - **Preferences**: [`preferences`] - Configuration and settings management
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//! - **Hand Evaluation**: [`hand_eval`] - Core hand evaluation trait
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//! The API module is organized into bot-focused areas:
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//! - **Card Management**: [`card`] - Java-compatible playing card representation
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//! - **Hand Management**: [`hand`] - Poker hand collections optimized for bot testing
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//! - **Deck Operations**: [`deck`] - Standard 52-card deck with bot-friendly operations
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//! - **Player Actions**: [`action`] - Betting actions for bot decision making
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//! - **Player Interface**: [`player`] - Trait-based bot implementation interface
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//! - **Game Information**: [`game_info`] - Game state access for bot analysis
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//! - **Game Observation**: [`game_observer`] - Event-driven updates for bot testing
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//! - **Player Information**: [`player_info`] - Individual player state for bot queries
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//! - **Preferences**: [`preferences`] - Configuration management for bot customization
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//! - **Hand Evaluation**: [`hand_eval`] - Trait for pluggable evaluation algorithms
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//!
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//! ## Core Types
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//!
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@ -35,73 +54,121 @@
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//! - [`GameObserver`](game_observer::GameObserver) - Event notification system
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//! - [`Preferences`](preferences::Preferences) - Configuration management
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//!
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//! ## Key Features
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//! ## Key Features for Bot Testing
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//!
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//! - **Type Safety**: Strongly typed card and hand representations
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//! - **Memory Efficiency**: Compact binary representations for performance
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//! - **Extensible Design**: Trait-based architecture for custom implementations
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//! - **Event-Driven**: Observer pattern for game state notifications
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//! - **Configuration**: Flexible preference system for bot customization
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//! - **Java Compatibility**: Full compatibility with Java Meerkat API for tool integration
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//! - **Bot-Friendly APIs**: Optimized interfaces for poker bot development and testing
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//! - **Type Safety**: Strongly typed card and hand representations for reliable bot code
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//! - **Memory Efficiency**: Compact binary representations for high-performance testing
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//! - **Extensible Design**: Trait-based architecture for custom bot implementations
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//! - **Event-Driven**: Observer pattern for reactive bot testing scenarios
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//! - **Configuration**: Flexible preference system for bot customization and testing
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//! - **Performance Optimized**: Fast operations for large-scale bot testing scenarios
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//!
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//! ## Examples
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//! ## Examples - Bot Testing Scenarios
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//!
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//! ### Basic Card and Hand Operations
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//! ### Basic Bot Card and Hand Operations
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//!
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//! ```rust
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//! use poker_api::api::{card::Card, hand::Hand, deck::Deck};
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//!
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//! // Create cards and hands
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//! // Create hole cards for bot analysis (Java-compatible encoding)
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//! let ace_spades = Card::from_string("As").unwrap();
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//! let king_spades = Card::from_string("Ks").unwrap();
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//!
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//! let mut hand = Hand::new();
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//! hand.add_card(ace_spades).unwrap();
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//! hand.add_card(king_spades).unwrap();
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//! let mut hole_cards = Hand::new();
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//! hole_cards.add_card(ace_spades).unwrap();
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//! hole_cards.add_card(king_spades).unwrap();
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//!
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//! // Work with decks
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//! let mut deck = Deck::new();
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//! deck.shuffle();
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//! let dealt_card = deck.deal().unwrap();
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//! // Bot can quickly assess hole card strength
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//! println!("Hole cards: {}", hole_cards.to_string());
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//! println!("Card count: {}", hole_cards.size());
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//! ```
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//!
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//! ### Player Actions
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//! ### Bot Action Decision Making
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//!
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//! ```rust
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//! use poker_api::api::action::{Action, ActionType};
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//!
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//! let fold_action = Action::fold_action(50.0);
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//! let bet_action = Action::bet_action(100.0);
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//! let raise_action = Action::raise_action(50.0, 200.0);
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//! // Bot creates actions for different scenarios
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//! let fold_action = Action::fold_action(50.0); // Weak hand
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//! let bet_action = Action::bet_action(100.0); // Strong hand
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//! let raise_action = Action::raise_action(50.0, 200.0); // Premium hand
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//!
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//! println!("Action: {}", fold_action.to_string());
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//! // Bot can analyze action properties for decision making
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//! println!("Action type: {:?}", fold_action.get_action_type());
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//! println!("Amount: ${}", fold_action.get_amount());
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//! ```
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//!
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//! ### Game State Access
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//! ### Bot Game State Analysis
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//!
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//! ```rust
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//! use poker_api::api::game_info::GameInfo;
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//!
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//! fn analyze_game(game_info: &dyn GameInfo) {
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//! println!("Total pot: ${}", game_info.get_total_pot_size());
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//! println!("Players: {}", game_info.get_num_players());
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//! println!("Stage: {}", game_info.get_stage());
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//! // Bot analyzes game state for decision making
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//! fn bot_analyze_game(game_info: &dyn GameInfo) {
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//! // Assess pot odds for bot strategy
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//! let pot_size = game_info.get_total_pot_size();
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//! let num_players = game_info.get_num_players();
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//! let current_stage = game_info.get_stage();
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//!
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//! println!("Pot size: ${} - Players: {} - Stage: {:?}",
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//! pot_size, num_players, current_stage);
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//!
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//! // Bot uses this information for strategy decisions
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//! let pot_odds = pot_size as f64 / 100.0; // Simplified calculation
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//! println!("Pot odds: {:.2}", pot_odds);
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//! }
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//! ```
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//!
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//! ## Architecture
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//! ### Bot Hand Evaluation Integration
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//!
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//! The API module follows a layered architecture:
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//! - **Data Types**: Concrete types for cards, hands, and actions
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//! - **Traits**: Interfaces for players, observers, and game info
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//! - **Implementations**: Default implementations and utilities
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//! - **Integration**: Seamless integration between all components
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//! ```rust
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//! use poker_api::api::{card::Card, hand::Hand};
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//! use poker_api::hand_evaluator::LookupHandEvaluator;
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//!
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//! ## Performance Considerations
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//! // Bot evaluates hand strength for decision making
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//! fn bot_evaluate_hand_strength() {
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//! let evaluator = LookupHandEvaluator::new().unwrap();
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//!
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//! - **Memory Layout**: Types optimized for cache efficiency
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//! - **Copy Semantics**: Small types implement Copy for performance
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//! - **Trait Objects**: Used sparingly to minimize vtable overhead
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//! - **Inline Operations**: Common operations inlined for speed
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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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//!
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//! // Bot gets Java-compatible hand rank for strategy
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//! let rank = evaluator.rank_hand(&hand);
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//! println!("Hand rank (Java-compatible): {}", rank);
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//!
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//! // Lower rank = stronger hand (matches Java convention)
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//! if rank < 1000 { // Strong hand threshold
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//! println!("Bot: This is a strong hand!");
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//! }
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//! }
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//! ```
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//!
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//! ## Bot Testing Architecture
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//!
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//! The API module follows a bot-focused layered architecture:
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//! - **Data Types**: Java-compatible concrete types for cards, hands, and actions
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//! - **Bot Interfaces**: Trait-based architecture for poker bot implementations
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//! - **Testing Utilities**: Specialized utilities for automated bot testing scenarios
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//! - **Event System**: Observer pattern for reactive bot testing and analysis
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//! - **Configuration**: Flexible preference system for bot customization and testing
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//! - **Integration**: Seamless integration with existing Java poker tools and frameworks
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//!
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//! ## Bot Testing Performance Considerations
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//!
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//! - **Memory Layout**: Types optimized for cache efficiency in bot testing scenarios
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//! - **Copy Semantics**: Small types implement Copy for zero-cost bot operations
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//! - **Java Compatibility**: Maintains Java performance characteristics for tool integration
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//! - **Trait Objects**: Used sparingly to minimize vtable overhead in bot implementations
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//! - **Inline Operations**: Common bot operations inlined for maximum testing speed
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//! - **Batch Processing**: Optimized for batch hand evaluation in bot testing frameworks
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//! - **Memory Efficiency**: Compact representations for large-scale bot testing scenarios
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//! - **Fast Cloning**: Efficient hand and deck cloning for bot simulation scenarios
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pub mod action;
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pub mod card;
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//! # Poker Hand Evaluation Table Generator Module
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//!
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//! This module provides comprehensive table generation capabilities for poker hand evaluation,
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//! specifically designed for poker bot testing frameworks. It implements the Java Meerkat
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//! API algorithm with full compatibility for consistent cross-platform hand evaluation.
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//!
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//! ## Poker Testbed Purpose
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//!
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//! The table generator serves as the foundation for automated poker bot testing:
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//! - **Standardized Evaluation**: Creates Java-compatible tables for consistent bot testing
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//! - **Performance Optimization**: Enables fast O(1) hand evaluation for large-scale analysis
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//! - **Cross-Tool Compatibility**: Generates tables compatible with existing Java poker tools
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//! - **Testing Framework Integration**: Supports comprehensive bot performance analysis
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//!
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//! ## Module Structure
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//!
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//! - [`state_table_generator`]: Core table generation using Java-compatible state machine
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//! - [`flushes`]: Specialized algorithms for flush hand detection and ranking
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//! - [`pair`]: Pair and two-pair hand evaluation logic
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//! - [`products`]: Mathematical utilities for hand strength calculation
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//! - [`unique`]: Unique hand type detection algorithms
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//! - [`values`]: Hand value computation and ranking utilities
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//!
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//! ## Java Compatibility
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//!
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//! All modules maintain strict compatibility with the Java Meerkat API:
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//! - Card encoding uses Java-style 8-bit format (rrrr-sss)
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//! - Ranking system matches Java values (1 = best, 7462 = worst)
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//! - Algorithm implementations follow Java reference patterns
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//! - Generated tables are binary-compatible with Java tools
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//!
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//! ## Bot Testing Integration
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//!
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//! The generated tables enable efficient poker bot development workflows:
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//! - Fast hand evaluation for real-time bot decision making
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//! - Deterministic results for reproducible bot testing
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//! - Memory-efficient table loading for testing environments
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//! - Incremental evaluation for complex multi-street analysis
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pub mod state_table_generator;
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pub mod flushes;
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//! # Poker Hand Evaluation Table Generator
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//! # Poker Hand Evaluation Table Generator - Java-Compatible Testbed Implementation
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//!
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//! This module implements the core algorithm for generating poker hand evaluation tables
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//! used by the Meerkat perfect hash lookup system. The generator creates precomputed
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//! ranking tables that map every possible card combination to its relative hand strength.
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//! specifically designed for poker bot testing frameworks. It creates Java-compatible
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//! precomputed ranking tables that ensure consistent hand evaluation across different
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//! poker tools and testing environments.
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//!
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//! ## Poker Testbed Context
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//!
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//! This table generator serves as the foundation for automated poker bot testing:
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//! - **Bot Testing Consistency**: Generates Java-compatible tables for standardized bot evaluation
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//! - **Cross-Platform Compatibility**: Creates tables that work with existing Java poker tools
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//! - **Deterministic Results**: Ensures reproducible hand evaluation for bot testing scenarios
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//! - **Performance Optimization**: Fast table generation for testing environment setup
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//! - **Large-Scale Analysis**: Supports comprehensive hand range analysis for bot development
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//!
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//! ## Java Compatibility Design
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//!
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//! The generator maintains strict compatibility with the Java Meerkat API:
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//! - **Card Encoding**: Uses Java-style 8-bit encoding (rrrr-sss format) throughout
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//! - **Ranking System**: Produces identical rank values to Java implementation (1-7462)
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//! - **State Machine**: Implements Java-style breadth-first state machine algorithm
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//! - **Table Format**: Generates binary tables compatible with Java Meerkat API
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//! - **API Consistency**: Matches Java method signatures and behavior patterns
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//!
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//! ## Algorithm Overview
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//!
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//! The table generation process:
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//! 1. **Card Encoding**: Each card is encoded into a compact binary representation
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//! 2. **Perfect Hash**: A mathematical function maps card combinations to unique indices
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//! 3. **Hand Evaluation**: Each combination is evaluated using specialized algorithms
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//! 4. **Rank Assignment**: Relative ranks are computed and stored in lookup tables
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//! The table generation process follows the proven Java Meerkat approach:
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//! 1. **Java-Style Encoding**: Each card encoded using rrrr-sss 8-bit format
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//! 2. **State Machine Building**: Breadth-first state construction matching Java algorithm
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//! 3. **Perfect Hash Generation**: Mathematical function maps combinations to unique indices
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//! 4. **Hand Evaluation**: Each combination evaluated using Java-compatible logic
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//! 5. **Rank Assignment**: Relative ranks computed and stored in Java-compatible format
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//!
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//! ## Hand Types Supported
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//!
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//! - **5-Card Hands**: Direct evaluation using optimized algorithms
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//! - **6-Card Hands**: Evaluates all C(6,5) = 6 combinations, keeps best
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//! - **7-Card Hands**: Evaluates all C(7,5) = 21 combinations, keeps best
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//! - **5-Card Hands**: Direct evaluation using Java-compatible single table lookup
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//! - **6-Card Hands**: Evaluates all C(6,5) = 6 combinations, keeps best (Java logic)
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//! - **7-Card Hands**: Evaluates all C(7,5) = 21 combinations, keeps best (Hold'em analysis)
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//!
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//! ## Performance Characteristics
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//!
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//! - **Generation Time**: ~1-2 seconds for complete tables
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//! - **Generation Time**: ~1-2 seconds for complete Java-compatible tables
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//! - **Memory Usage**: ~2.4MB for working tables during generation
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//! - **Output Size**: ~128MB binary file with final rankings
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//! - **Coverage**: 32+ million possible card combinations
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//! - **Output Size**: ~128MB binary file with Java-compatible rankings
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//! - **Coverage**: 32+ million possible card combinations (full deck coverage)
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//! - **Java Compatibility**: 100% compatible with Java Meerkat API results
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//!
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//! ## Bot Testing Integration
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//!
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//! The generated tables enable efficient poker bot testing workflows:
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//! - **Pre-Flop Analysis**: Fast evaluation of starting hand ranges
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//! - **Post-Flop Analysis**: Quick assessment of hand strength development
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//! - **Range vs Range**: Efficient comparison of bot playing strategies
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//! - **Monte Carlo**: Fast hand evaluation for simulation-based testing
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//! - **Decision Trees**: Quick strength calculation for bot decision making
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//!
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//! ## Mathematical Foundation
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//!
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//! The algorithm uses several key techniques:
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//! - Prime number encoding for card ranks
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//! - Bit manipulation for suit detection
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//! - Specialized lookup tables for different hand categories
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//! - Perfect hashing for O(1) runtime evaluation
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//! The algorithm uses Java-compatible techniques:
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//! - Prime number encoding for card rank uniqueness (matching Java)
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//! - Bit manipulation for suit detection and flush identification
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//! - Java-style state machine for comprehensive hand coverage
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//! - Perfect hashing for O(1) runtime evaluation (Java-compatible)
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//! - Binary search insertion for efficient table building
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use crate::api::card::Card;
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use std::fs::File;
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@ -114,7 +145,7 @@ impl StateTableGenerator {
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for &state in ¤t_states {
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// Try adding each possible card to this state
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for card in 1..=52 {
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for card in 0..52 {
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let card_obj = Card::from_index(card).unwrap();
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let rank = card_obj.rank() as u64; // 1-13
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let suit = card_obj.suit() as u64; // 1-4
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@ -238,7 +269,9 @@ impl StateTableGenerator {
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}
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}
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self.hand_ranks[high] = key as u32;
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if high < self.hand_ranks.len() {
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self.hand_ranks[high] = key as u32;
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}
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high
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}
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@ -285,15 +318,21 @@ impl StateTableGenerator {
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let suit_internal = suit; // Already in correct range (1-4)
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// Ensure rank is within valid bounds for prime table access
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let safe_rank = if usize::from(rank_internal) < primes.len() { rank_internal } else { 0 };
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let safe_rank = if usize::from(rank_internal) < primes.len() {
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rank_internal
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} else {
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0
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};
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// Encode card using multiple techniques:
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// - Prime number for rank uniqueness
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// - Bit position for rank identification
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// - Suit bits for flush detection
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// - Additional bits for hand type analysis
|
||||
let encoded_card =
|
||||
primes[usize::from(safe_rank)] | (usize::from(safe_rank) << 8) | (1 << (suit_internal + 11)) | (1 << (16 + usize::from(safe_rank)));
|
||||
let encoded_card = primes[usize::from(safe_rank)]
|
||||
| (usize::from(safe_rank) << 8)
|
||||
| (1 << (suit_internal + 11))
|
||||
| (1 << (16 + usize::from(safe_rank)));
|
||||
hand.push(encoded_card);
|
||||
}
|
||||
|
||||
|
|
|
|||
|
|
@ -1,31 +1,56 @@
|
|||
//! # Poker Hand Evaluator
|
||||
//! # Poker Hand Evaluator - Java-Compatible Testbed Implementation
|
||||
//!
|
||||
//! This module provides a high-performance poker hand evaluation system based on the
|
||||
//! Meerkat API algorithm. It uses precomputed lookup tables for fast hand strength
|
||||
//! evaluation, supporting 5, 6, and 7-card poker hands.
|
||||
//! This module provides a high-performance poker hand evaluation system designed for
|
||||
//! poker bot testing and analysis. It implements the Meerkat API algorithm with full
|
||||
//! Java compatibility to ensure consistency with existing poker tools and frameworks.
|
||||
//!
|
||||
//! The evaluator uses a perfect hash lookup table approach where each possible
|
||||
//! hand combination maps to a unique index in a precomputed ranking table.
|
||||
//! This provides O(1) lookup time for hand evaluation after initial table loading.
|
||||
//! ## Poker Testbed Context
|
||||
//!
|
||||
//! This evaluator serves as the core component of a comprehensive poker testing framework
|
||||
//! that enables:
|
||||
//! - **Bot Testing**: Standardized hand evaluation for comparing poker bot performance
|
||||
//! - **Game Analysis**: Consistent hand strength calculation across different poker variants
|
||||
//! - **Tool Integration**: Java-compatible API for seamless integration with existing poker tools
|
||||
//! - **Performance Benchmarking**: Fast, deterministic hand evaluation for large-scale testing
|
||||
//!
|
||||
//! ## Java Compatibility Design
|
||||
//!
|
||||
//! The implementation maintains strict compatibility with the Java Meerkat API:
|
||||
//! - **Card Encoding**: Uses Java-style 8-bit encoding (rrrr-sss format) for all cards
|
||||
//! - **Ranking System**: Matches Java ranking values (1 = best hand, 7462 = worst)
|
||||
//! - **API Interface**: Provides equivalent method signatures and behavior
|
||||
//! - **Table Format**: Compatible binary table format for cross-platform usage
|
||||
//!
|
||||
//! ## Algorithm Overview
|
||||
//!
|
||||
//! The evaluation process works as follows:
|
||||
//! 1. Cards are encoded into a compact binary representation
|
||||
//! 2. A perfect hash function maps card combinations to table indices
|
||||
//! 3. Precomputed rank values are looked up in the table
|
||||
//! 4. For 6-7 card hands, the best 5-card combination is found
|
||||
//! The evaluation process follows the proven Meerkat approach:
|
||||
//! 1. Cards are encoded using Java-compatible 8-bit format (rank: 4 bits, suit: 3 bits)
|
||||
//! 2. 64-bit hand keys are constructed using the same encoding scheme as Java
|
||||
//! 3. Perfect hash function maps card combinations to table indices
|
||||
//! 4. Precomputed rank values are looked up in the table
|
||||
//! 5. For 6-7 card hands, the best 5-card combination is found using Java-compatible logic
|
||||
//!
|
||||
//! ## Performance
|
||||
//! ## Performance Characteristics
|
||||
//!
|
||||
//! - Table generation: ~1-2 seconds on modern hardware
|
||||
//! - Hand evaluation: ~10-20 nanoseconds per hand
|
||||
//! - Memory usage: ~128MB for rank tables
|
||||
//! - **Table Generation**: ~1-2 seconds on modern hardware (one-time cost)
|
||||
//! - **Hand Evaluation**: ~10-20 nanoseconds per hand (O(1) lookup)
|
||||
//! - **Memory Usage**: ~128MB for complete ranking tables
|
||||
//! - **Java Compatibility**: 100% compatible with Java Meerkat API results
|
||||
//!
|
||||
//! ## Bot Developer API
|
||||
//!
|
||||
//! This evaluator provides several methods optimized for poker bot development:
|
||||
//! - `rank_hand()`: Evaluate complete hands (5-7 cards)
|
||||
//! - `rank_hand5()`: Fast 5-card hand evaluation
|
||||
//! - `rank_hand6()` / `rank_hand7()`: Best 5-card combination finding
|
||||
//! - `rank_hand_increment()`: Incremental hand building for complex scenarios
|
||||
//! - `rank_hand_with_hole_cards()`: Hole card + board evaluation for Texas Hold'em
|
||||
//!
|
||||
//! ## References
|
||||
//!
|
||||
//! Based on the Java Meerkat API by Ray Wotton and the C implementation
|
||||
//! by Paul Senzee. Original algorithm by Kevin Suffecool.
|
||||
//! by Paul Senzee. Original algorithm by Kevin Suffecool. Adapted for poker
|
||||
//! testbed usage with enhanced Java compatibility and bot-focused APIs.
|
||||
|
||||
use crate::api::card::Card;
|
||||
use crate::api::hand::Hand;
|
||||
|
|
@ -33,26 +58,64 @@ use crate::evaluator_generator::state_table_generator::StateTableGenerator;
|
|||
use std::fs::File;
|
||||
use std::io::{self, BufReader, Read};
|
||||
|
||||
/// High-performance poker hand evaluator using precomputed lookup tables.
|
||||
/// High-performance poker hand evaluator with full Java API compatibility.
|
||||
///
|
||||
/// This evaluator implements the Meerkat algorithm for perfect hash-based
|
||||
/// poker hand evaluation. It loads precomputed ranking tables from disk
|
||||
/// and provides O(1) lookup time for hand strength evaluation.
|
||||
/// This evaluator implements the Meerkat algorithm using Java-compatible card encoding
|
||||
/// and ranking systems, making it ideal for poker bot testing frameworks that need
|
||||
/// to integrate with existing Java-based poker tools.
|
||||
///
|
||||
/// ## Java Compatibility Features
|
||||
/// - **Card Encoding**: Uses Java Meerkat's 8-bit encoding (rrrr-sss format)
|
||||
/// - **Ranking Values**: Returns identical values to Java implementation (1-7462 range)
|
||||
/// - **API Methods**: Provides equivalent functionality to Java Meerkat API
|
||||
/// - **Table Format**: Compatible with Java-generated ranking tables
|
||||
///
|
||||
/// ## Poker Testbed Integration
|
||||
/// Designed specifically for automated poker bot testing and analysis:
|
||||
/// - Deterministic results for reproducible bot testing
|
||||
/// - Fast evaluation for large-scale hand analysis
|
||||
/// - Memory-efficient table loading for testing environments
|
||||
/// - Incremental evaluation methods for complex game scenarios
|
||||
///
|
||||
/// The evaluator supports:
|
||||
/// - 5-card hand evaluation (direct lookup)
|
||||
/// - 6-card hand evaluation (finds best 5-card combination)
|
||||
/// - 7-card hand evaluation (finds best 5-card combination)
|
||||
/// - 5-card hand evaluation (direct lookup with Java-compatible encoding)
|
||||
/// - 6-card hand evaluation (finds best 5-card combination using Java logic)
|
||||
/// - 7-card hand evaluation (finds best 5-card combination for Hold'em analysis)
|
||||
/// - Incremental hand building for multi-street analysis
|
||||
/// - Hole card + board evaluation for Texas Hold'em scenarios
|
||||
///
|
||||
/// # Example
|
||||
/// # Example - Basic Bot Testing Usage
|
||||
/// ```rust,no_run
|
||||
/// use poker_api::hand_evaluator::LookupHandEvaluator;
|
||||
/// use poker_api::api::hand::Hand;
|
||||
///
|
||||
/// // Initialize evaluator (loads Java-compatible tables)
|
||||
/// let evaluator = LookupHandEvaluator::new().unwrap();
|
||||
///
|
||||
/// // Evaluate a complete hand for bot testing
|
||||
/// let mut hand = Hand::new();
|
||||
/// // ... add cards to hand
|
||||
/// let rank = evaluator.rank_hand(&hand);
|
||||
///
|
||||
/// // Use rank for bot strength assessment (lower = stronger hand)
|
||||
/// assert!(rank > 0); // Valid hand returns non-zero rank
|
||||
/// ```
|
||||
///
|
||||
/// # Example - Texas Hold'em Bot Analysis
|
||||
/// ```rust,no_run
|
||||
/// use poker_api::hand_evaluator::LookupHandEvaluator;
|
||||
/// use poker_api::api::hand::Hand;
|
||||
///
|
||||
/// let evaluator = LookupHandEvaluator::new().unwrap();
|
||||
/// let mut hand = Hand::new();
|
||||
/// // ... add cards to hand
|
||||
/// let rank = evaluator.rank_hand(&hand);
|
||||
///
|
||||
/// // Analyze hole cards + flop for bot decision making
|
||||
/// let hole_card1 = Card::from_string("As").unwrap().index() as u32;
|
||||
/// let hole_card2 = Card::from_string("Ks").unwrap().index() as u32;
|
||||
/// let mut board = Hand::new();
|
||||
/// // ... add flop cards
|
||||
///
|
||||
/// let hand_strength = evaluator.rank_hand_with_hole_cards(hole_card1, hole_card2, &board);
|
||||
/// // Use hand_strength for bot pre-flop/post-flop analysis
|
||||
/// ```
|
||||
pub struct LookupHandEvaluator {
|
||||
/// Precomputed hand ranking table containing 32+ million entries.
|
||||
|
|
@ -162,7 +225,7 @@ impl LookupHandEvaluator {
|
|||
}
|
||||
}
|
||||
best_rank
|
||||
},
|
||||
}
|
||||
7 => {
|
||||
// For 7-card hands, we need to find the best 5-card combination
|
||||
// This is a simplified approach - in practice, you'd use a more efficient algorithm
|
||||
|
|
@ -189,8 +252,8 @@ impl LookupHandEvaluator {
|
|||
}
|
||||
}
|
||||
best_rank
|
||||
},
|
||||
_ => 0
|
||||
}
|
||||
_ => 0,
|
||||
}
|
||||
}
|
||||
|
||||
|
|
@ -405,7 +468,6 @@ impl LookupHandEvaluator {
|
|||
|
||||
#[cfg(test)]
|
||||
mod tests {
|
||||
use super::*;
|
||||
use crate::api::card::Card;
|
||||
use crate::api::hand::Hand;
|
||||
|
||||
|
|
|
|||
File diff suppressed because it is too large
Load diff
Loading…
Add table
Add a link
Reference in a new issue