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Copyright (c) 2021, Shailesh Appukuttan and Andrew Davison, CNRS | ||
All rights reserved. | ||
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Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: | ||
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* Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. | ||
* Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. | ||
* Neither the names of the copyright holders nor the names of the contributors may be used to endorse or promote products derived from this software without specific prior written permission. | ||
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THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. |
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import sciunit | ||
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# =============================================================================== | ||
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# Enter capability source code here | ||
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# =============================================================================== |
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import sciunit | ||
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# =============================================================================== | ||
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# Enter source code for generating result related files here | ||
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# =============================================================================== |
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import sciunit | ||
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# =============================================================================== | ||
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# Enter source code for custom score types here | ||
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# =============================================================================== |
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import sciunit | ||
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# =============================================================================== | ||
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# Enter test source code here | ||
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# =============================================================================== |
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# PackageName | ||
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A simple SciUnit library for demonstrating data-driven testing of electrophysiological features extracted from computational models. |
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[metadata] | ||
description-file = README.md |
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try: | ||
from setuptools import setup | ||
except ImportError: | ||
from distutils.core import setup | ||
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setup( | ||
name='PackageName', | ||
version='0.1', | ||
author='Shailesh Appukuttan, Andrew Davison', | ||
author_email='[email protected]', | ||
packages=['PackageName', | ||
'PackageName.tests', | ||
'PackageName.capabilities', | ||
'PackageName.scores', | ||
'PackageName.plots',], | ||
url='https://github.com/appukuttan-shailesh/PackageName', | ||
keywords=['electrophysiology', 'electrical', | ||
'testing', 'validation framework'], | ||
license='MIT', | ||
description='A SciUnit library for data-driven testing of neurons.', | ||
install_requires=['efel'] | ||
) |