data/examples/rust_adaptive_sort/config.yaml

# Configuration for Rust Adaptive Sorting Evolution

# General settings
max_iterations: 150
checkpoint_interval: 15
log_level: "INFO"
file_suffix: ".rs"

# LLM configuration
llm:
  primary_model: "gemini-flash-lite-latest"
  primary_model_weight: 0.8
  secondary_model: "gemini-flash-latest"
  secondary_model_weight: 0.2
  api_base: "https://generativelanguage.googleapis.com/v1beta/openai/"
  
  temperature: 0.7
  max_tokens: 16384
  
  # Custom system message for Rust performance programming
  system_message: |
    You are an expert Rust systems programmer specializing in high-performance algorithms.
    Focus on creating adaptive sorting algorithms that can handle different data patterns efficiently.
    Consider hybrid approaches like introsort, adaptive pivot selection, and data-aware optimizations.
    Ensure memory safety and idiomatic Rust code. Use appropriate data structures and leverage Rust's zero-cost abstractions.

# Prompt configuration
prompt:
  num_top_programs: 4
  num_diverse_programs: 3
  
  # Include compilation errors and performance artifacts
  include_artifacts: true
  max_artifact_bytes: 8192

# Database configuration
database:
  population_size: 150
  num_islands: 4
  
  # Feature dimensions for sorting algorithms
  feature_dimensions:
    - "score"            # Overall performance score
    - "performance_score"  # Speed performance
    - "adaptability_score" # Adaptability to different data patterns
  feature_bins: 8

# Evaluator configuration
evaluator:
  timeout: 60  # Rust compilation can take time
  parallel_evaluations: 3
  
  # Direct evaluation - evaluator doesn't implement cascade functions
  cascade_evaluation: false