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https://github.com/Telecominfraproject/oopt-gnpy.git
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Signed-off-by: EstherLerouzic <esther.lerouzic@orange.com> Change-Id: I827b4dcd1418017d925b63e50f95514dc1a0eed8
113 lines
3.9 KiB
ReStructuredText
113 lines
3.9 KiB
ReStructuredText
***************
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Installing GNPy
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***************
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There are several methods on how to obtain GNPy.
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The easiest option for a non-developer is probably going via our :ref:`Docker images<install-docker>`.
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Developers are encouraged to install the :ref:`Python package in the same way as any other Python package<install-pip>`.
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Note that this needs a :ref:`working installation of Python<install-python>`, for example :ref:`via Anaconda<install-anaconda>`.
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.. _install-docker:
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Using prebuilt Docker images
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============================
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Our `Docker images <https://hub.docker.com/r/telecominfraproject/oopt-gnpy>`_ contain everything needed to run all examples from this guide.
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Docker transparently fetches the image over the network upon first use.
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On Linux and Mac, run:
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.. code-block:: shell-session
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$ docker run -it --rm --volume $(pwd):/shared telecominfraproject/oopt-gnpy
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root@bea050f186f7:/shared/example-data#
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On Windows, launch from Powershell as:
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.. code-block:: console
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PS C:\> docker run -it --rm --volume ${PWD}:/shared telecominfraproject/oopt-gnpy
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root@89784e577d44:/shared/example-data#
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In both cases, a directory named ``example-data/`` will appear in your current working directory.
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GNPy automaticallly populates it with example files from the current release.
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Remove that directory if you want to start from scratch.
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.. _install-python:
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Using Python on your computer
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=============================
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**Note**: `gnpy` supports Python 3 only. Python 2 is not supported.
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`gnpy` requires Python ≥3.8
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**Note**: the `gnpy` maintainers strongly recommend the use of Anaconda for
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managing dependencies.
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It is recommended that you use a "virtual environment" when installing `gnpy`.
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Do not install `gnpy` on your system Python.
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.. _install-anaconda:
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We recommend the use of the `Anaconda Python distribution <https://www.anaconda.com/download>`_ which comes with many scientific computing
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dependencies pre-installed. Anaconda creates a base "virtual environment" for
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you automatically. You can also create and manage your ``conda`` "virtual
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environments" yourself (see:
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https://conda.io/docs/user-guide/tasks/manage-environments.html)
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To activate your Anaconda virtual environment, you may need to do the
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following:
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.. code-block:: shell-session
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$ source /path/to/anaconda/bin/activate # activate Anaconda base environment
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(base) $ # note the change to the prompt
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You can check which Anaconda environment you are using with:
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.. code-block:: shell-session
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(base) $ conda env list # list all environments
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# conda environments:
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#
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base * /src/install/anaconda3
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(base) $ echo $CONDA_DEFAULT_ENV # show default environment
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base
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You can check your version of Python with the following. If you are using
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Anaconda's Python 3, you should see similar output as below. Your results may
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be slightly different depending on your Anaconda installation path and the
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exact version of Python you are using.
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.. code-block:: shell-session
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$ which python # check which Python executable is used
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/path/to/anaconda/bin/python
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$ python -V # check your Python version
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Python 3.8.0 :: Anaconda, Inc.
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.. _install-pip:
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Installing the Python package
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-----------------------------
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From within your Anaconda Python 3 environment, you can clone the master branch
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of the `gnpy` repo and install it with:
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.. code-block:: shell-session
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$ git clone https://github.com/Telecominfraproject/oopt-gnpy # clone the repo
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$ cd oopt-gnpy
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$ pip install --editable . # note the trailing dot
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To test that `gnpy` was successfully installed, you can run this command. If it
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executes without a ``ModuleNotFoundError``, you have successfully installed
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`gnpy`.
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.. code-block:: shell-session
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$ python -c 'import gnpy' # attempt to import gnpy
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$ pytest # run tests
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