Fixed hand evaluator LUT generation

docs/ACHIEVEMENTS.md

@@ -1,27 +1,5 @@
 # Poker AI Testbed & Live Server Achievements
 
-## Major Technical Achievements
-
-### 🚀 Perfect Hash Jump Table Implementation ✅
-
-**Revolutionary Memory Optimization**
-- **79% Memory Reduction**: Reduced evaluation table size from 625MB to ~130MB
-- **Advanced Algorithm**: Perfect hash jump table with suit canonicalization
-- **Bottom-up Construction**: Cache-optimized trie construction for optimal performance
-- **Zero Breaking Changes**: Full API compatibility maintained for existing users
-
-**Technical Innovation Details**
-- **Suit Canonicalization**: Lexicographically smallest suit permutation algorithm
-- **Three-Level Trie Structure**: Level 5 (terminal), Level 6 (intermediate), Level 7 (root)
-- **Memory Layout Optimization**: Sequential access patterns for CPU cache efficiency
-- **Streaming Construction**: Handles large datasets without excessive memory allocation
-
-**Performance Improvements**
-- **Faster 6-Card Evaluation**: Improved evaluation speed for 6-card hands
-- **Enhanced 7-Card Performance**: Better performance for 7-card hand evaluation
-- **Cache-Friendly Access**: Optimized memory access patterns for modern CPUs
-- **Reduced Memory Pressure**: Significantly lower memory footprint for large-scale simulations
-
 ## Completed Phases and Items
 
 ### Phase 1: Foundation ✅
@@ -29,38 +7,12 @@
 **Basic poker engine**
 - Card/Hand/Board representations ✅
 - Fast LUT hand evaluator (5, 6, and 7 cards) ✅
-- Game state management ✅
-- Game Info and Player Info traits ✅
-- Event reporting and action scheme ✅
-- Basic game rules (NL/FL/PL) ✅
-
-**Configuration system**
-- TOML configuration structures ✅
-- Bot parameter configuration ✅
-- Game type configurations (Cash/SNG/MTT, buyins, blinds, hands per level, etc.) ✅
-- Simulation parameters (hands/tournaments count, buyin thresholds for bots, etc.) ✅
 
 ## Success Metrics
 
 - **Bot Performance:** Profitability across different game types
 - **Simulation Speed:** Ability to run millions of hands efficiently
-- **Memory Efficiency:** 79% reduction in evaluation table memory usage
 - **Live Reliability:** 99.9% uptime with correct action execution
 - **Flexibility:** Easy configuration for new sites and game types
-- **Technical Innovation:** State-of-the-art perfect hash jump table implementation
 - **Evolution:** Continuous improvement through simulation results
 - **Monitoring:** Meaningful debug and performance logging and visualization
-
-## Technical Specifications
-
-### Memory Achievement Breakdown
-- **Original Implementation**: 625MB for complete 7-card evaluation tables
-- **New Implementation**: ~130MB for equivalent functionality (79% reduction)
-- **Target Size**: Exactly 32-35 million u32 entries for optimal memory usage
-- **Construction Time**: 2-3 minutes for complete table generation
-
-### Performance Characteristics
-- **5-Card Evaluation**: ~50-100 nanoseconds (O(1) lookup)
-- **6-Card Evaluation**: ~200-300 nanoseconds (best 5-card selection)
-- **7-Card Evaluation**: ~400-600 nanoseconds (best 5-card selection)
-- **Hash Calculation**: ~20-30 nanoseconds (card canonicalization)