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https://github.com/Telecominfraproject/oopt-gnpy.git
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docs: Fix Pygments highlighting
This will make it possible to use this document within Sphinx without warnings. Change-Id: I069cdc42b451102d4e731c8d848716126b0e518a
This commit is contained in:
16
README.rst
16
README.rst
@@ -86,14 +86,14 @@ 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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To activate your Anaconda virtual environment, you may need to do the
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following:
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following:
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.. code-block:: shell
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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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$ 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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(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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You can check which Anaconda environment you are using with:
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.. code-block:: shell
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.. code-block:: shell-session
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(base) $ conda env list # list all environments
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(base) $ conda env list # list all environments
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# conda environments:
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# conda environments:
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@@ -108,7 +108,7 @@ 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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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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exact version of Python you are using.
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.. code-block:: shell
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.. code-block:: shell-session
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$ which python # check which Python executable is used
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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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/path/to/anaconda/bin/python
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@@ -118,7 +118,7 @@ exact version of Python you are using.
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From within your Anaconda Python 3 environment, you can clone the master branch
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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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of the `gnpy` repo and install it with:
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.. code-block:: shell
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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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$ git clone https://github.com/Telecominfraproject/oopt-gnpy # clone the repo
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$ cd oopt-gnpy
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$ cd oopt-gnpy
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@@ -128,7 +128,7 @@ 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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executes without a ``ModuleNotFoundError``, you have successfully installed
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`gnpy`.
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`gnpy`.
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.. code-block:: shell
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.. code-block:: shell-session
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$ python -c 'import gnpy' # attempt to import gnpy
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$ python -c 'import gnpy' # attempt to import gnpy
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@@ -200,7 +200,7 @@ The number of channel is computed based on ``spacing`` and ``f_min``, ``f_max``
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An experimental support for Raman amplification is available:
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An experimental support for Raman amplification is available:
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.. code-block:: shell
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.. code-block:: shell-session
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$ gnpy-transmission-example \
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$ gnpy-transmission-example \
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$(gnpy-example-data)/raman_edfa_example_network.json \
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$(gnpy-example-data)/raman_edfa_example_network.json \
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@@ -211,7 +211,7 @@ General numeric parameters for simulaiton control are provided in the `gnpy/exam
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Use ``gnpy-path-request`` to run multiple optimizations as follows:
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Use ``gnpy-path-request`` to run multiple optimizations as follows:
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.. code-block:: shell
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.. code-block:: shell-session
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$ gnpy-path-request -h
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$ gnpy-path-request -h
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Usage: gnpy-path-requests [-h] [-v] [-o OUTPUT] [network_filename] [service_filename] [eqpt_filename]
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Usage: gnpy-path-requests [-h] [-v] [-o OUTPUT] [network_filename] [service_filename] [eqpt_filename]
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@@ -220,7 +220,7 @@ The ``network_filename`` and ``service_filename`` can be an XLS or JSON file. Th
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To see an example of it, run:
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To see an example of it, run:
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.. code-block:: shell
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.. code-block:: shell-session
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$ cd $(gnpy-example-data)
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$ cd $(gnpy-example-data)
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$ gnpy-path-request meshTopologyExampleV2.xls meshTopologyExampleV2_services.json eqpt_config.json -o output_file.json
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$ gnpy-path-request meshTopologyExampleV2.xls meshTopologyExampleV2_services.json eqpt_config.json -o output_file.json
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