from setuptools import setup setup( name='nmreval', version='0.1', packages=['.nmreval'] ) """A setuptools based setup module. See: https://packaging.python.org/guides/distributing-packages-using-setuptools/ https://github.com/pypa/sampleproject """ # Always prefer setuptools over distutils from setuptools import setup, find_packages import pathlib here = pathlib.Path(__file__).parent.resolve() # Get the long description from the README file long_description = (here / 'README.md').read_text(encoding='utf-8') # 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='nmreval', # 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/guides/single-sourcing-package-version/ version='0.1', # 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='A sample Python project', # Optional # 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/x-rst', # 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/pypa/sampleproject', # Optional # This should be your name or the name of the organization which owns the # project. author='Dominik Demuth', # Optional # This should be a valid email address corresponding to the author listed # above. author_email='dominik.demuth@physik.tu-darmstadt.de', # 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 :: 3 - Alpha', # Indicate who your project is intended for 'Intended Audience :: Developers', 'Topic :: Software Development :: Build Tools', # Pick your license as you wish '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 :: 3.7', 'Programming Language :: Python :: 3.8', 'Programming Language :: Python :: 3.9', "Programming Language :: Python :: 3.10", '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='sample, setuptools, development', # 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'}, # 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(where='src'), # Required # Specify which Python versions you support. In contrast to the # 'Programming Language' classifiers above, 'pip install' will check this # and refuse to install the project if the version does not match. See # https://packaging.python.org/guides/distributing-packages-using-setuptools/#python-requires python_requires='>=3.7, <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/discussions/install-requires-vs-requirements/ install_requires=[ 'numpy', 'scipy', 'matplotlib', 'bsddb3', 'pyqtgraph', 'PyQt4', 'h5py' ], # Optional # 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. 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 '/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=bin: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/', # }, )