Automated tools and guides for generating 3000+ standalone C++ functions organized into a static library.

This project provides everything needed to:

• Generate thousands of standalone C++ functions
• Organize them into a compilable static library
• Validate function quality and requirements
• Build and test the complete library

Get started in 10 minutes:

# 1. Make scripts executable
chmod +x generate_project.py validate_functions.py

# 2. Generate a small test project (10 functions)
python3 generate_project.py --output ./test_project --count 10

# 3. Build and test
cd test_project
mkdir build && cd build
cmake .. && make
./FunctionLibrary_test

See QUICKSTART.md for detailed first-time setup.

.
├── README.md                    # This file
├── QUICKSTART.md               # 10-minute getting started guide
├── WORKFLOW.md                 # Complete step-by-step workflow
├── IMPLEMENTATION_PLAN.md      # Detailed implementation stages
├── AI_PROMPTS.md              # AI prompts for function generation
├── generate_project.py        # Project structure generator
├── validate_functions.py      # Function validation tool
└── examples/                  # Example function implementations
    ├── example_function.hpp
    └── example_function.cpp

Each function must meet these criteria:

• 50-100 lines of code (some can be slightly less)

• No parameters OR all parameters have default values
• Example: int fun_algo(int n = 100, string s = "default")

• C++17 standard library only
• No third-party libraries
• No networking modules

Functions must not be optimized away:

• Include cout statements (side effects)
• Use volatile keyword for results
• Return values are used by caller

• Compiles successfully with C++17
• Links into static library
• No memory leaks
• No undefined behavior

Automatically creates project structure with function templates.

python3 generate_project.py --output ./my_project --count 100 --build-system cmake

Options:

• --output, -o: Output directory (default: ./function_library)
• --count, -n: Number of functions (default: 10)
• --build-system, -b: Build system: cmake or make (default: cmake)

Generates:

• Header files (.hpp)
• Implementation files (.cpp)
• FuncRunner controller class
• Build system files (CMakeLists.txt or Makefile)
• main.cpp test driver
• README and documentation

Validates functions meet all requirements.

python3 validate_functions.py ./my_project --compile --report validation.md

Options:

• project_path: Path to project directory
• --compile, -c: Attempt to compile each function
• --strict, -s: Strict validation (stricter line count)
• --report, -r: Generate markdown report

Checks:

• Line count (50-100 range)
• Anti-optimization measures (cout, volatile)
• No prohibited includes
• Parameters have defaults
• No common class name collisions
• Compilation success (if --compile used)

1. Generate project structure
2. Use AI to generate functions
3. Validate and fix issues
4. Build and test

Time: 4-8 hours

1. Setup (2 hours)

   • Generate project structure
   • Prepare AI tools and prompts

2. Generation (60-90 hours)

   • Generate in batches of 100
   • Use multiple AI sessions in parallel
   • Mix sources: GitHub repos, algorithms, problem solutions

3. Validation (10-15 hours)

   • Validate each batch
   • Fix issues incrementally

4. Integration (5-10 hours)

   • Build complete library
   • Run full tests
   • Memory checking

5. Documentation (3-5 hours)

   • Generate statistics
   • Create final documentation
   • Package deliverables

Total Time: 80-122 hours (2-3 weeks full-time)

Extract and adapt functions from open-source repositories.

Sources:

• Algorithm repositories (TheAlgorithms/C-Plus-Plus)
• Competitive programming libraries
• LeetCode solution collections
• Project Euler solutions

Use AI to generate original implementations.

Categories:

• Sorting algorithms
• Graph algorithms
• Dynamic programming
• String algorithms
• Mathematical functions
• Data structure implementations

Solve algorithmic problems and extract solutions.

Sources:

• LeetCode problems
• HackerRank challenges
• Project Euler problems
• Codeforces problems

Combine all strategies for diversity and efficiency.

Target Distribution (3000 functions):

• 500 from GitHub (17%)
• 1000 generated algorithms (33%)
• 800 from competitive programming (27%)
• 500 from math problems (17%)
• 200 custom implementations (7%)

After running the validator:

🔍 Validating 3000 functions...

======================================================================
VALIDATION REPORT
======================================================================

Total Functions: 3000
✓ Passed: 2947
✗ Failed: 53

Average Lines: 67.3
Min Lines: 42
Max Lines: 118

Success Rate: 98.2%

Both CMake and Make are supported.

mkdir build && cd build
cmake ..
make -j8

make -j8

# Run all functions
./test_runner

# With memory checking (Linux)
valgrind --leak-check=full ./test_runner

# Time execution
time ./test_runner

Final package includes:

• ✅ Static library (.a or .lib file)
• ✅ All header files
• ✅ Documentation (implementation.md)
• ✅ Validation report
• ✅ Function catalog
• ✅ Build instructions

• 3000+ functions generated
• All functions compile
• Static library created
• Test program runs successfully
• No memory leaks
• >95% validation pass rate
• Complete documentation

Functions use the pattern: fun_[16 random chars]

Examples:

• fun_3shyIG75HD2t3dr9
• fun_7Hx2Kp9Qm4Vn8Wr
• fun_aB3dEf9GhI2jKl5M

Characters: a-z, A-Z, 0-9 (mixed case)

• Quick Start Guide
• Complete Workflow
• Implementation Plan
• AI Prompt Templates
• Example Function

• TheAlgorithms/C-Plus-Plus
• LeetCode
• Project Euler
• C++17 Reference

• Python: 3.7+
• C++ Compiler: GCC 7+, Clang 5+, or MSVC 2017+
• CMake: 3.10+ (optional, for CMake build)
• Make: Any recent version (optional, for Make build)

This project structure and tools are provided as-is for educational and development purposes.

This is a project generation tool. To improve:

1. Enhance validation rules in validate_functions.py
2. Add more AI prompt templates to AI_PROMPTS.md
3. Improve project generator features
4. Add more example functions

For issues:

1. Check WORKFLOW.md troubleshooting section
2. Review validation reports for specific errors
3. Consult example function for reference

# 1. Generate test project
python3 generate_project.py --output ./my_test --count 10

# 2. Open AI_PROMPTS.md and copy a prompt

# 3. Use AI to generate 10 functions

# 4. Replace template code with generated code

# 5. Validate
python3 validate_functions.py ./my_test

# 6. Build
cd my_test/build && cmake .. && make

# 7. Run
./FunctionLibrary_test

See QUICKSTART.md for detailed instructions.

Ready to generate 3000 functions? Start with the Quick Start Guide!