This rather large change adds a layer between the underlying (immutable) model and the application. In doing so we can avoid the use of a global state (useful for the purposes of configuring multiple models in the same application later on) and it also unlocks the ability to implement an MVC-like separation of concerns - again, the intention is that when it comes to comparisons, we will just be able to re-use our application views. I was hoping that ``cara.state`` could have been avoided in lieu of using traitlets, but unfortunately I found a number of limitations which were prohibitive for its use here. Foremost of which was the lack of first-class dataclass support and the difficulty in needing either to use instances of the model (immutable) or duplicate the model and its structure in a mutable form and use the ``traitlets.Instance`` type. Instead I opted for doing it myself - the ``cara.state`` module would make a very good standalone project in the future.
67 lines
1.7 KiB
Python
67 lines
1.7 KiB
Python
"""
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setup.py for CARA.
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For reference see
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https://packaging.python.org/guides/distributing-packages-using-setuptools/
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"""
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from pathlib import Path
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from setuptools import setup, find_packages
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HERE = Path(__file__).parent.absolute()
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with (HERE / 'README.md').open('rt') as fh:
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LONG_DESCRIPTION = fh.read().strip()
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REQUIREMENTS: dict = {
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'core': [
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'dataclasses; python_version < "3.7"',
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'ipykernel',
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'ipympl',
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'ipywidgets',
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'matplotlib',
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'numpy',
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'voila >=0.2.4',
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],
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'app': [],
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'test': [
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'pytest',
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'pytest-tornasync', # Unused, but needed because of a downstream dependency.
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],
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'dev': [
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'jupyterlab',
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],
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}
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setup(
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name='CARA',
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version="0.0.1.dev0",
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maintainer='Andre Henriques',
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maintainer_email='andre.henriques@cern.ch',
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description='COVID Airborne Risk Assessment',
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long_description=LONG_DESCRIPTION,
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long_description_content_type='text/markdown',
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url='cern.ch/cara',
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packages=find_packages(),
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python_requires='~=3.6',
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classifiers=[
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"Programming Language :: Python :: 3",
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"Operating System :: OS Independent",
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],
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install_requires=REQUIREMENTS['core'],
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extras_require={
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**REQUIREMENTS,
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# The 'dev' extra is the union of 'test' and 'doc', with an option
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# to have explicit development dependencies listed.
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'dev': [req
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for extra in ['dev', 'test', 'doc']
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for req in REQUIREMENTS.get(extra, [])],
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# The 'all' extra is the union of all requirements.
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'all': [req for reqs in REQUIREMENTS.values() for req in reqs],
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},
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)
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