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LABLUP\n   hello, LABLUP!\n\nPlease refer the ``--help`` manual provided by the ``run`` command.\n\nHighlight: ``start`` and ``app`` command\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\n``backend.ai start`` is simliar to the ``run`` command in that it creates a new compute session,\nbut it does not execute anything there.\nYou can subsequently call ``backend.ai run -t <sessionId> ...`` to execute codes snippets\nor use ``backend.ai app`` command to start a local proxy to a container service such as Jupyter which\nruns inside the compute session.\n\n.. code-block:: console\n\n   $ backend.ai start -t mysess -r cpu=1 -r mem=2g lablup/python:3.6-ubuntu18.04\n   \u2219 Session ID mysess is created and ready.\n   \u2219 This session provides the following app services: ipython, jupyter, jupyterlab\n   $ backend.ai app mysess jupyter\n   \u2219 A local proxy to the application \"jupyter\" provided by the session \"mysess\" is available at: http://127.0.0.1:8080\n\n\nHighlight: ``ps`` and ``rm`` command\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\nYou can see the list of currently running sessions using your API keypair.\n\n.. code-block:: console\n\n   $ backend.ai ps\n   Session ID    Lang/runtime              Tag    Created At                        Terminated At    Status      CPU Cores    CPU Used (ms)    Total Memory (MiB)    Used Memory (MiB)    GPU Cores\n   ------------  ------------------------  -----  --------------------------------  ---------------  --------  -----------  ---------------  --------------------  -------------------  -----------\n   88ee10a027    lablup/python:3.6-ubuntu         2018-12-11T03:53:14.802206+00:00                   RUNNING             1            16314                  1024                 39.2            0\n   fce7830826    lablup/python:3.6-ubuntu         2018-12-11T03:50:10.150740+00:00                   RUNNING             1            15391                  1024                 39.2            0\n\nIf you set ``-t`` option in the ``run`` command, it will be used as the session ID\u2014you may use it to assign a human-readable, easy-to-type alias for your sessions.\nThese session IDs can be reused after the current session using the same ID terminates.\n\nTo terminate a session, you can use ``terminate`` or ``rm`` command.\n\n.. code-block:: console\n\n   $ backend.ai rm 5baafb2136029228ca9d873e1f2b4f6a\n   \u2714 Done.\n\nHighlight: ``proxy`` command\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\nTo use API development tools such as GraphiQL for the admin API, run an insecure\nlocal API proxy.  This will attach all the necessary authorization headers to your\nvanilla HTTP API requests.\n\n.. code-block:: console\n\n   $ backend.ai proxy\n   \u2219 Starting an insecure API proxy at http://localhost:8084\n\nMore commands?\n~~~~~~~~~~~~~~\n\nPlease run ``backend.ai --help`` to see more commands.\n\n\nTroubleshooting (FAQ)\n---------------------\n\n* There are error reports related to ``simplejson`` with Anaconda on Windows.\n  This package no longer depends on simplejson since v1.0.5, so you may uninstall it\n  safely since Python 3.5+ offers almost identical ``json`` module in the standard\n  library.\n\n  If you really need to keep the ``simplejson`` package, uninstall the existing\n  simplejson package manually and try reinstallation of it by downloading `a\n  pre-built binary wheel from here\n  <https://www.lfd.uci.edu/%7Egohlke/pythonlibs/#simplejson>`_.\n\n\n",
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