Files
pokemon-battle-engine/examples
cdemeyer-teachx 1c1e7f8d51 Google Tests
2025-08-14 10:19:03 +09:00
..
2025-08-14 10:19:03 +09:00
2025-08-13 23:27:08 +00:00

Examples Directory (examples/)

This directory contains example programs and tutorials demonstrating how to use the Pokemon battle simulator.

Structure

examples/
├── basic/                 # Basic usage examples
│   ├── hello_battle.cpp   # Simplest possible battle
│   ├── pokemon_creation.cpp # Creating and configuring Pokemon
│   ├── move_usage.cpp     # Using moves and calculating damage
│   └── type_effectiveness.cpp # Type matchup examples
├── intermediate/          # More complex examples
│   ├── tournament.cpp     # Tournament simulation
│   ├── ai_comparison.cpp  # Comparing different AI strategies
│   ├── custom_pokemon.cpp # Loading custom Pokemon data
│   └── battle_analytics.cpp # Analyzing battle statistics
├── advanced/              # Advanced usage patterns
│   ├── custom_ai.cpp      # Implementing custom AI
│   ├── parallel_battles.cpp # Multi-threaded battle simulation
│   ├── memory_optimization.cpp # Memory-efficient patterns
│   └── performance_tuning.cpp # Performance optimization
├── data/                  # Example data files
│   ├── sample_pokemon.json # Sample Pokemon definitions
│   ├── custom_moves.json   # Custom move examples
│   └── test_scenarios.json # Battle test scenarios
├── python/                # Python integration examples
│   ├── wrapper_usage.py   # Using Python bindings
│   ├── data_analysis.py   # Battle result analysis
│   └── visualization.py   # Battle visualization
└── CMakeLists.txt         # Build configuration for examples

Example Categories

Basic Examples

Perfect for developers new to the library:

  • hello_battle.cpp: Minimal battle between two Pokemon
  • pokemon_creation.cpp: Different ways to create Pokemon instances
  • move_usage.cpp: How moves work and damage calculation
  • type_effectiveness.cpp: Understanding the type system

Intermediate Examples

For developers comfortable with the basics:

  • tournament.cpp: Simulate a complete tournament bracket
  • ai_comparison.cpp: Compare performance of different AI strategies
  • custom_pokemon.cpp: Load and use custom Pokemon data
  • battle_analytics.cpp: Collect and analyze battle statistics

Advanced Examples

For experienced users and contributors:

  • custom_ai.cpp: Implement sophisticated AI strategies
  • parallel_battles.cpp: Optimize performance with multithreading
  • memory_optimization.cpp: Minimize memory usage patterns
  • performance_tuning.cpp: Squeeze maximum performance

Building Examples

# Build all examples
mkdir build && cd build
cmake -DBUILD_EXAMPLES=ON ..
make

# Run a specific example
./examples/basic/hello_battle

# Build only specific examples
make hello_battle tournament

Example Template

Each example follows this structure:

/**
 * @file example_name.cpp
 * @brief Brief description of what this example demonstrates
 * 
 * Detailed explanation of the concepts covered, expected output,
 * and any prerequisites or setup required.
 */

#include <pokemon_sim/pokemon_sim.h>
#include <iostream>

int main() {
    // Clear, commented code demonstrating the concept
    // with realistic usage patterns
    
    return 0;
}

Data Files

The data/ subdirectory contains:

  • Minimal datasets for quick examples
  • Complete scenarios for comprehensive demonstrations
  • Custom data examples showing data format flexibility
  • Test cases that can be used for validation

Python Integration

Python examples demonstrate:

  • C++ binding usage with pybind11
  • Data analysis of battle results using pandas
  • Visualization of battle statistics and AI performance
  • Integration with machine learning libraries

Running Examples

Each example is self-contained and includes:

  • Clear output explaining what's happening
  • Error handling for educational purposes
  • Performance metrics where relevant
  • Cleanup code demonstrating proper resource management

Contributing Examples

When adding new examples:

  • Focus on one concept per example
  • Include comprehensive comments explaining the code
  • Provide expected output in comments or separate files
  • Test thoroughly to ensure examples work correctly
  • Keep dependencies minimal to reduce complexity