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On Linux: | ||
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Just install Python 3 and Pip (for example through "apt-get install python3 python3-pip") | ||
and run the following command: | ||
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pip3 install -r requirements.txt | ||
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If the previous command is not working, but Python 3 is correctly installed, then try with the following command: | ||
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pip install -r requirements.txt | ||
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---------------------------------------------------------------------------- | ||
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Linux (Docker): | ||
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There is a provided Dockerfile. | ||
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To build the image give the command | ||
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docker build -t docker-pm4py . | ||
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To run the bash on the docker container give the command | ||
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docker run -it docker-pm4py bash | ||
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The PM4Py environment is located inside /app | ||
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---------------------------------------------------------------------------- | ||
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On Windows: | ||
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Install Visual Studio 2017 Community Edition by downloading from the following link: | ||
https://visualstudio.microsoft.com/de/thank-you-downloading-visual-studio/?sku=Community&rel=15 | ||
Include all C++ development part (it may result in a big, 6 gigabytes, download) | ||
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Then, install Miniconda 3.6 64-bit https://conda.io/miniconda.html and run the following command | ||
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<path where Miniconda is installed>\Scripts\pip.exe install -r requirements.txt | ||
For platform-specific installation tutorials, follow on http://pm4py.pads.rwth-aachen.de/installation/ |