forked from M-Labs/artiq
manual: update installing.rst.
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@ -29,7 +29,7 @@ If it prints the help of the ``conda`` command, your install is OK.
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If not, then make sure your ``$PATH`` environment variable contains the path to anaconda3/bin (or miniconda3/bin)::
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$ echo $PATH
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/home/..../miniconda3/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games
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/home/.../miniconda3/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin
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If your ``$PATH`` misses reference the miniconda3/bin or anaconda3/bin you can fix this by typing::
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@ -38,14 +38,37 @@ If your ``$PATH`` misses reference the miniconda3/bin or anaconda3/bin you can f
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Installing the host side software
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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For this, you need to add our binstar repository to your conda configuration::
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For this, you need to add our Anaconda repository to your conda configuration::
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$ conda config --add channels http://conda.anaconda.org/m-labs/channel/main
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$ conda config --add channels http://conda.anaconda.org/m-labs/channel/dev
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Then you can install the ARTIQ package, it will pull all the necessary dependencies::
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Then you can install the ARTIQ package, it will pull all the necessary dependencies.
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$ conda install artiq
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* For the Pipistrello board::
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$ ENV=$(date +artiq-%Y-%m-%d); conda create -n $ENV artiq-pipistrello-nist_qc1; \
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echo "Created environment $ENV for ARTIQ"
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* For the KC705 board::
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$ ENV=$(date +artiq-%Y-%m-%d); conda create -n $ENV artiq-kc705-nist_qc1 artiq-kc705-nist_qc2; \
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echo "Created environment $ENV for ARTIQ"
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This creates a new Conda "environment" (i.e. an isolated installation) and prints its name.
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If you ever need to upgrade ARTIQ, it is advised to install it again
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in a new environment so that you can roll back to a version that is known to
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work correctly.
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After this, add the newly created environment to your ``$PATH``. This can be easily
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done using the following command::
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$ source activate artiq-[date]
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You will need to invoke this command in every new shell. When in doubt, you can list
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the existing environments using::
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$ conda env list
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Preparing the core device FPGA board
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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