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Cleanup readme
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README.md

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@@ -5,8 +5,9 @@ with HTCondor workers. This is a fork of the ingenious original idea by Maria
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Acosta at Fermilab as part of their Elastic Analysis Facility project.
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## ICRN Quick Start
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As a user of the Illinois Computes Research Notebooks environment, you will use
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conda to set up the Condor tools and install this library. Create the following
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As a user of the Illinois Computes Research Notebooks environment, you will use
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conda to set up the Condor tools and install this library. Create the following
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conda.yaml file:
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```yaml
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- htcondor
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- pip
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- pip:
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- ncsa-htcdaskgateway>=1.0.2
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- ncsa-htcdaskgateway>=1.0.2
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```
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From a Jupyter terminal window create the conda environment with:
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conda activate dask-gateway
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```
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Now you can use the `setup_condor` script to set up the HTCondor tools. This will request your
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Illinois password and attempt to log into the HTCondor login node and execute a command that
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generates a token file. This token file is used by the HTCondor tools to authenticate
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with the HTCondor cluster. The script will put the token in your `~/.condor/tokens.d` directory.
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Now you can use the `setup_condor` script to set up the HTCondor tools. This
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will request your Illinois password and attempt to log into the HTCondor login
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node and execute a command that generates a token file. This token file is used
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by the HTCondor tools to authenticate with the HTCondor cluster. The script will
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put the token in your `~/.condor/tokens.d` directory.
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It will also write appropriate condor_config settings to the conda environment's
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condor directory.
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It will also write appropriate condor_config settings to the conda environment's condor directory.
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When complete, you should be able to view the condor queue from an ICRN terminal
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with
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When complete, you should be able to view the condor queue from an ICRN terminal with
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```bash
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condor_q
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```

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