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README.md

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The packages can all be installed with `pip ...`
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## Example configurations
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## Example configurations for evaluation
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### Recommended for average case: ILP alignment, dereification, corpus metrics and confidence intervals<a id="basic-eval"></a>
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### Best practice: ILP alignment, dereification, corpus metrics and confidence intervals<a id="basic-eval"></a>
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- Efficiency: +
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- Optimality: +++

setup.py

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setup(
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name='smatchpp',
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version='1.0.2',
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version='1.0.3',
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description='A Python package for graph processing',
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url='https://github.com/flipz357/smatchpp',
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author='Juri Opitz',

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