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manual: update installing.rst.

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whitequark 2015-10-30 04:18:42 +03:00
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@ -29,7 +29,7 @@ If it prints the help of the ``conda`` command, your install is OK.
If not, then make sure your ``$PATH`` environment variable contains the path to anaconda3/bin (or miniconda3/bin)::
$ echo $PATH
/home/..../miniconda3/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games
/home/.../miniconda3/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin
If your ``$PATH`` misses reference the miniconda3/bin or anaconda3/bin you can fix this by typing::
@ -38,14 +38,37 @@ If your ``$PATH`` misses reference the miniconda3/bin or anaconda3/bin you can f
Installing the host side software
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
For this, you need to add our binstar repository to your conda configuration::
For this, you need to add our Anaconda repository to your conda configuration::
$ conda config --add channels http://conda.anaconda.org/m-labs/channel/main
$ conda config --add channels http://conda.anaconda.org/m-labs/channel/dev
Then you can install the ARTIQ package, it will pull all the necessary dependencies::
Then you can install the ARTIQ package, it will pull all the necessary dependencies.
$ conda install artiq
* For the Pipistrello board::
$ ENV=$(date +artiq-%Y-%m-%d); conda create -n $ENV artiq-pipistrello-nist_qc1; \
echo "Created environment $ENV for ARTIQ"
* For the KC705 board::
$ ENV=$(date +artiq-%Y-%m-%d); conda create -n $ENV artiq-kc705-nist_qc1 artiq-kc705-nist_qc2; \
echo "Created environment $ENV for ARTIQ"
This creates a new Conda "environment" (i.e. an isolated installation) and prints its name.
If you ever need to upgrade ARTIQ, it is advised to install it again
in a new environment so that you can roll back to a version that is known to
work correctly.
After this, add the newly created environment to your ``$PATH``. This can be easily
done using the following command::
$ source activate artiq-[date]
You will need to invoke this command in every new shell. When in doubt, you can list
the existing environments using::
$ conda env list
Preparing the core device FPGA board
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^