from setuptools import setup, find_packages
import pathlib

here = pathlib.Path(__file__).parent.resolve()
long_description = (here / 'README.md').read_text(encoding='utf-8')

setup(
    name='srbpy',  # Required
    version='0.0.5',  # Required
    description='A road design Python project',  # Optional
    long_description=long_description,  # Optional
    long_description_content_type='text/markdown',  # Optional (see note above)
    url='https://github.com/billhu0228/SmartRoadBridgePy',  # Optional
    author='bill hu',  # Optional
    author_email='billhu0228@icloud.com',  # Optional

    # Classifiers help users find your project by categorizing it.
    #
    # For a list of valid classifiers, see https://pypi.org/classifiers/
    classifiers=[
        'Development Status :: 3 - Alpha',
        'License :: OSI Approved :: MIT License',
        # Specify the Python versions you support here. In particular, ensure
        # that you indicate you support Python 3. These classifiers are *not*
        # checked by 'pip install'. See instead 'python_requires' below.
        'Programming Language :: Python :: 3',
        'Programming Language :: Python :: 3.5',
        'Programming Language :: Python :: 3.6',
        'Programming Language :: Python :: 3.7',
        'Programming Language :: Python :: 3.8',
        'Programming Language :: Python :: 3 :: Only',
    ],

    # This field adds keywords for your project which will appear on the
    # project page. What does your project relate to?
    #
    # Note that this is a list of additional keywords, separated
    # by commas, to be used to assist searching for the distribution in a
    # larger catalog.
    keywords='civil, road, alignment',  # Optional

    # When your source code is in a subdirectory under the project root, e.g.
    # `src/`, it is necessary to specify the `package_dir` argument.
    # package_dir={'': 'src'},

    # You can just specify package directories manually here if your project is
    # simple. Or you can use find_packages().
    #
    # Alternatively, if you just want to distribute a single Python file, use
    # the `py_modules` argument instead as follows, which will expect a file
    # called `my_module.py` to exist:
    #
    #   py_modules=["my_module"],
    #
    packages=find_packages(),  # Required
    python_requires='>=3.5, <4',

    # This field lists other packages that your project depends on to run.
    # Any package you put here will be installed by pip when your project is
    # installed, so they must be valid existing projects.
    #
    # For an analysis of "install_requires" vs pip's requirements files see:
    # https://packaging.python.org/en/latest/requirements.html
    install_requires=[
        'numpy',
        'scikit-spatial>=4.0.0',
        'PyAngle>=2.2.0'
    ],  # Optional

    # package_data={  # Optional
    #     'sample': ['package_data.dat'],
    # },

    # Although 'package_data' is the preferred approach, in some case you may
    # need to place data files outside of your packages. See:
    # http://docs.python.org/distutils/setupscript.html#installing-additional-files
    #
    # In this case, 'data_file' will be installed into '<sys.prefix>/my_data'
    # data_files=[('my_data', ['data/data_file'])],  # Optional

    # To provide executable scripts, use entry points in preference to the
    # "scripts" keyword. Entry points provide cross-platform support and allow
    # `pip` to create the appropriate form of executable for the target
    # platform.
    #
    # For example, the following would provide a command called `sample` which
    # executes the function `main` from this package when invoked:
    # entry_points={  # Optional
    #     'console_scripts': [
    #         'sample=sample:main',
    #     ],
    # },

    # List additional URLs that are relevant to your project as a dict.
    #
    # This field corresponds to the "Project-URL" metadata fields:
    # https://packaging.python.org/specifications/core-metadata/#project-url-multiple-use
    #
    # Examples listed include a pattern for specifying where the package tracks
    # issues, where the source is hosted, where to say thanks to the package
    # maintainers, and where to support the project financially. The key is
    # what's used to render the link text on PyPI.
    # project_urls={  # Optional
    #     'Bug Reports': 'https://github.com/pypa/sampleproject/issues',
    #     'Funding': 'https://donate.pypi.org',
    #     'Say Thanks!': 'http://saythanks.io/to/example',
    #     'Source': 'https://github.com/pypa/sampleproject/',
    # },
)
