""" Setup for pyparrot based on the sample one found below: A setuptools based setup module. See: https://packaging.python.org/en/latest/distributing.html https://github.com/pypa/sampleproject """ # Always prefer setuptools over distutils from setuptools import setup, find_packages # To use a consistent encoding from codecs import open from os import path here = path.abspath(path.dirname(__file__)) # Get the long description from the README file with open(path.join(here, 'README.md'), encoding='utf-8') as f: long_description = f.read() # Arguments marked as "Required" below must be included for upload to PyPI. # Fields marked as "Optional" may be commented out. setup( # This is the name of your project. The first time you publish this # package, this name will be registered for you. It will determine how # users can install this project, e.g.: # # $ pip install sampleproject # # And where it will live on PyPI: https://pypi.org/project/sampleproject/ # # There are some restrictions on what makes a valid project name # specification here: # https://packaging.python.org/specifications/core-metadata/#name name='pyparrot', # Required # Versions should comply with PEP 440: # https://www.python.org/dev/peps/pep-0440/ # # For a discussion on single-sourcing the version across setup.py and the # project code, see # https://packaging.python.org/en/latest/single_source_version.html version='1.5.19', # Required # This is a one-line description or tagline of what your project does. This # corresponds to the "Summary" metadata field: # https://packaging.python.org/specifications/core-metadata/#summary description='Python interface to control Parrot drones', # Required # This is an optional longer description of your project that represents # the body of text which users will see when they visit PyPI. # # Often, this is the same as your README, so you can just read it in from # that file directly (as we have already done above) # # This field corresponds to the "Description" metadata field: # https://packaging.python.org/specifications/core-metadata/#description-optional long_description=long_description, # Optional # Denotes that our long_description is in Markdown; valid values are # text/plain, text/x-rst, and text/markdown # # Optional if long_description is written in reStructuredText (rst) but # required for plain-text or Markdown; if unspecified, "applications should # attempt to render [the long_description] as text/x-rst; charset=UTF-8 and # fall back to text/plain if it is not valid rst" (see link below) # # This field corresponds to the "Description-Content-Type" metadata field: # https://packaging.python.org/specifications/core-metadata/#description-content-type-optional long_description_content_type='text/markdown; charset=UTF-8; variant=GFM', # Optional (see note above) # This should be a valid link to your project's main homepage. # # This field corresponds to the "Home-Page" metadata field: # https://packaging.python.org/specifications/core-metadata/#home-page-optional url='https://github.com/amymcgovern/pyparrot', # Optional # This should be your name or the name of the organization which owns the # project. author='Amy McGovern', # Optional # This should be a valid email address corresponding to the author listed # above. author_email='dramymcgovern@gmail.com', # Optional # Classifiers help users find your project by categorizing it. # # For a list of valid classifiers, see https://pypi.org/classifiers/ classifiers=[ # Optional # How mature is this project? Common values are # 3 - Alpha # 4 - Beta # 5 - Production/Stable 'Development Status :: 4 - Beta', # Indicate who your project is intended for 'Intended Audience :: Developers ', 'Intended Audience :: Education', 'Topic :: Education ', 'Topic :: Software Development', # Pick your license as you wish 'License :: OSI Approved :: MIT License', # Specify the Python versions you support here. In particular, ensure # that you indicate whether you support Python 2, Python 3 or both. 'Programming Language :: Python :: 3', 'Programming Language :: Python :: 3.4', 'Programming Language :: Python :: 3.5', 'Programming Language :: Python :: 3.6', ], # 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 string of words separated by whitespace, not a list. keywords='python parrot drone education programming', # Optional # 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(exclude=['contrib', 'docs', 'tests']), # Required include_package_data=True, # 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=['untangle'], # Optional # this only runs on python 3 python_requires='>=3', # List additional groups of dependencies here (e.g. development # dependencies). Users will be able to install these using the "extras" # syntax, for example: # # $ pip install sampleproject[dev] # # Similar to `install_requires` above, these must be valid existing # projects. #extras_require={ # Optional # 'dev': ['check-manifest'], # 'test': ['coverage'], #}, # If there are data files included in your packages that need to be # installed, specify them here. # # If using Python 2.6 or earlier, then these have to be included in # MANIFEST.in as well. #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/3.4/distutils/setupscript.html#installing-additional-files # # In this case, 'data_file' will be installed into '/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': [ 'find_mambo=pyparrot.scripts.findMambo: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/amymcgovern/pyparrot/issues', 'Funding': 'https://www.oufoundation.org/portal', 'Say Thanks!': 'https://saythanks.io/to/amymcgovern', 'Source': 'https://github.com/amymcgovern/pyparrot/', }, )