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mhostert
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note on pyhepmc
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README.md

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@@ -62,10 +62,13 @@ DarkNews is available on PyPI so from your python3.6+ (virtual environment or ot
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```sh
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python3 -m pip install DarkNews
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```
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or if your pip version is already set to your preferred python version, simply ```pip install DarkNews```.
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or if your pip version is already set to your preferred python version, simply ```pip install DarkNews```. This should install all dependencies for you.
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**troubleshooting**: If you have any problems, try creating a brand new (conda or pyenv) environment, install the latest version of ```pip```, then pip install numpy first, and only then try to install pip install DarkNews.
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If you experience any issues installing pyhepmc-ng, try installing numpy first, and then install pyhepmc-ng directly from Git using the following command: `pip install git+https://[email protected]/scikit-hep/pyhepmc@master`.
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Then pip install DarkNews.
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This should install all dependencies for you. If you have any problems, try creating a brand new (conda or pyenv) environment, install the latest version of ```pip```, pip install numpy, and try to install DarkNews.
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We have tested installations on Ubuntu, Mac OS X, as well as Windows.
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If your installation is successful, you should be able to
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* import the module from your python scripts or notebook with `import DarkNews`

setup.cfg

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[metadata]
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name = DarkNews
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author = "Asli Abdullahi, Jaime Hoefken, Matheus Hostert, Daniele Massaro"
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authors = [
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{ name="Asli Abdullahi"},
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{ name="Jaime Hoefken"},
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{ name="Matheus Hostert", email="[email protected]"},
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{ name="Daniele Massaro"},
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]
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author_email = "[email protected]"
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version = attr: DarkNews.__version__
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license = "MIT"

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