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##📦 How to install extra packages for your DES model.
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- Is based on [Pyodide](https://github.com/pyodide/pyodide)
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- Uses [IPython](https://github.com/ipython/ipython) for the code execution (access to IPython magics, support for the inline Matplotlib backend, *etc*)
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- Provides a way to dynamically install packages with ``piplite`` (**e.g.**``await piplite.install("ipywidgets")``)
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-**Does not support** sleeping with ``from time import sleep``
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-**Does not support** pre-installing packages
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The repo contains two environment files. To install more dependencies for your DES model and analysis you need to edit the ``environment.yml`` file.
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#### jupyterlite-xeus-python:
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The template ``environment.yml`` is as follows:
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- Is based on [xeus-python](https://github.com/jupyter-xeus/xeus-python)
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- Uses [IPython](https://github.com/ipython/ipython) for the code execution (access to IPython magics, support for the inline Matplotlib backend, *etc*)
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-**Does not provide** a way to dynamically install packages (yet. We are working on building a ``mamba`` package manager for WASM)
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-**Supports** sleeping with ``from time import sleep``
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-**Supports** pre-installing packages from ``emscripten-forge`` and ``conda-forge``, by providing an ``environment.yml`` file defining the runtime environment
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## 💡 How to make your own deployment
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```yml
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name: xeus-python-kernel
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channels:
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- https://repo.mamba.pm/emscripten-forge
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- conda-forge
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dependencies:
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- xeus-python
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- ipycanvas
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- simpy=4.1.1
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- numpy
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- pandas
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- matplotlib
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```
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Then your site will be published under https://{USERNAME}.github.io/{DEMO_REPO_NAME}
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**Key points:**
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## 📦 How to install extra packages
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* There are two channels in use.
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* `encription-forge` contains specific versions of the packages for web assembly These include `numpy` `pandas`, and `matplotlib`. Other popular packages include `scipy`, `scikit-learn` and `pytest`.
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* `conda-forge` for other installs you can use conda-forge. Only ``no-arch`` packages from ``conda-forge`` can be installed (simpy qualifies)
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* Note that `numpy`, `pandas` and `matplotlib` have specific versions available on `enscription-forge`. For this reason we recommend not including the package version number.
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* `simpy` is installed from `conda-forge` we were therefore able to freeze the version to 4.1.1 to aid reproducibility.
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* At the time of writing the xeus-python kernal will use python 3.11.3
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You can pre-install extra packages for xeus-python by adding them to the ``environment.yml`` file.
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As an example modification assume that you wanted to add two new packages: `plotly`and `scipy`. The first `plotly` is available ``no-arch`` from conda-forge so it is safe to include and if you wanted to you could try to include a version number. There is a specific version of `scipy` is available on `encription-forge`
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For example, if you want to create a JupyterLite deployment with NumPy and Matplotlib pre-installed, you would need to edit the ``environment.yml`` file as following:
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Our modified environment looks like:
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```yml
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name: xeus-python-kernel
@@ -77,11 +84,30 @@ channels:
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- conda-forge
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dependencies:
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- xeus-python
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- ipycanvas
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- simpy=4.1.1
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- numpy
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- pandas
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- matplotlib
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- plotly
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- scipy
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```
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Only ``no-arch`` packages from ``conda-forge`` and packages from ``emscripten-forge`` can be installed.
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- **How do I know if a package is ``no-arch`` on ``conda-forge``?** ``no-arch`` means that the package is OS-independent, usually pure-python packages are ``no-arch``. To check if your package is ``no-arch`` on ``conda-forge``, check if the "Platform" entry is "no-arch" in the https://beta.mamba.pm/channels/conda-forge?tab=packages page. If your package is not ``no-arch`` but is a pure Python package, then you should probably update the feedstock to turn your package into a ``no-arch`` one.
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- **How do I know if my package is on ``emscripten-forge``?** You can see the list of packages pubished on ``emscripten-forge`` [here](https://beta.mamba.pm/channels/emscripten-forge?tab=packages). In case your package is missing, or it's not up-to-date, feel free to open an issue or a PR on https://github.com/emscripten-forge/recipes.
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If you wanted to use an alternative simulation package to `simpy` this would need to be available on `conda-forge` and be ``no-arch``. An example package is `salabim`. A modification of the enviroment is:
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