Developing applications on your local machine is strongly recommended as it saves on headaches with using shared OPIs and allows for robust testing on a simulated machine before launching in production.
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Note that if there are sudden unexplained errors in your program, it is possible that one of these libraries was updated. In most cases, all you'll need is a git pull from the relevant repo. LCLS Tools specifically also needs the pip upgradeSome of the following installations will run into "module not found" errors. If that is the case, simply pip install the missing module and try again |
Prerequisites
It is recommended that you already have working conda installation and have beginner's knowledge of conda environments, as well as git version control.
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- Run
git clone git@github.com:slaclab/lcls-tools.git - Navigate to that repo and run
pip install --upgrade .
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If there are sudden unexplained errors in your program, it is possible that one of these libraries was updated. In most cases, all you'll need is a git pull from the relevant repo. LCLS Tools specifically also needs the pip upgrade |