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making reposiory ready for pypi
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LICENSE

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MIT License
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Copyright (c) 2020 Benjamin Zanger
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in all
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copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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SOFTWARE.

Readme.md renamed to README.md

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EQSN is a library for simulating quantum networks.
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It is developed as a backend for the
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[QuNetSim](https://github.com/tqsd/QuNetSim) package, but can also be used as a standalone library.
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The documentation can be found [here](https://tqsd.github.io/EQSN_python/_build/index.html).

setup.cfg

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[metadata]
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description-file = README.md

setup.py

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from distutils.core import setup
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import setuptools
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setup(
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with open("README.md", "r") as fh:
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long_description = fh.read()
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setuptools.setup(
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name='EQSN',
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version='0.0.1',
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packages=['eqsn',],
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license='',
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license='MIT',
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author='Benjamin Zanger',
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author_email='benjamin.zanger@tum.de',
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description="A quantum simulator made for networks",
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long_description=long_description,
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long_description_content_type="text/markdown",
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url = 'https://github.com/tqsd/EQSN_python',
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download_url = '',
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keywords = ['quantum-simulator', 'quantum-internet', 'QuNetSim'],
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install_requires=[
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'numpy',
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'multiprocessing',
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],
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classifiers=[
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'Development Status :: 3 - Alpha',
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'Intended Audience :: Developers',
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'Topic :: Software Development :: Build Tools',
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'License :: OSI Approved :: MIT License',
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"Operating System :: OS Independent",
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'Programming Language :: Python :: 3',
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'Programming Language :: Python :: 3.6',
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],
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python_requires='>=3.6',
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)

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