dependencies
Upgraded the limedriver subproject to bring in latest enhancements and
fixes. Added 'h5py' and 'matplotlib' to the list of Python project
dependencies, ensuring the availability of necessary libraries for data
handling and plotting functionalities within our project.
- Standardized the C++ compiler across build environments by setting it in `setup.py`, ensuring consistent compilation of Cython extensions.
- Transitioned to using `setuptools.build_meta` as the build backend in `pyproject.toml` for enhanced package build processes.
- Modified the extension module path in `setup.py` to align with the new Python binding structure.
- Introduced Python property decorators to `PyLimeConfig` class in `limedriver.pyx` for getter methods, enhancing the Pythonic interface of the Cython module.
- Facilitated direct import of the binding in `__init__.py`, streamlining the usage of the `limedriver` package.
Removed the version restrictions for setuptools and Cython from the project build system configuration to increase compatibility with broader ranges of environments. This change aims to simplify setup and prevent potential conflicts with other packages that require different versions.
Enhanced the .gitignore to filter out additional build artifacts and Python cache files, promoting a cleaner repository state. Introduced a basic project structure with a new pyproject.toml, defining metadata and build requirements for the 'limedriver' Python package. Also added a LICENSE file and a custom setup.py which automates the retrieval and build of 'limedriver' submodules, streamlining the set-up for development and ensuring consistent builds across environments. These changes lay the groundwork for further development and distribution of the project.
