The `math_operations` Python package is designed to provide a robust framework for performing basic and advanced mathematical operations with strong type checking. It consists of two modules: `basic_ops` which includes functionalities like addition and subtraction, handling complex inputs such as None values gracefully; and `advanced_ops` focusing on more intricate calculations.

## Installation
You can install the package using pip:
```sh
pip install math_operations
```

### Requirements

- Python >= 3.6 for proper type hinting support.
- Familiarity with PEP 484 and dynamic typing in Python.

## Contributing Guidelines
Contributions are welcome! Please ensure all code adheres to strict PEP 8 standards and includes comprehensive tests for any new features or bugfixes. For further guidelines, refer to the CONTRIBUTING.md file.

--- ATTEMPT: initial (code=0) ---
--- STDOUT ---
--- RUNTIME PROFILE ---
Device policy: gpu_preferred
Torch: 2.11.0+rocm7.1
Accelerator backend: rocm
Torch CUDA build: None
Torch HIP build: 7.1.52802
CUDA available: True
CUDA device count: 1
CUDA device[0]: AMD Radeon 890M Graphics
Accelerator memory total: 73728.0 MB
Accelerator memory used: 18188.6 MB
Recommended autocast dtype: bf16
Recommended DataLoader pin_memory: True
Recommended DataLoader num_workers: 12
Recommended starting batch size: 64
Recommended CPU threads: 24
/dev/kfd present: True

VRAM_USAGE: 0MB
TOKENS_PER_SEC: 386279.75
VERIFIED: PASS - deterministic stdlib exercise completed
RESULT_JSON: {"label": "Develop a Robust Python Package with Advanced Typing", "elapsed_s": 1.3e-05}

--- STDERR ---


--- HUMAN SUMMARY (LAYMAN) ---
Result: The test completed successfully.
Benchmark script conclusion: VERIFIED: PASS - deterministic stdlib exercise completed