Mvu24f

jupyter-images/mvu24f/.condarc

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+envs_dirs:
+  - /home/jovyan/additional-envs

jupyter-images/mvu24f/Acknowledgements.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "c86cd54f-b73c-4781-b6eb-89c79d3d3b22",
+   "metadata": {},
+   "source": [
+    "## Acknowledgements\n",
+    "\n",
+    "Launching this JupyterHub server is the result of a collaboration between several research and academic institutions and their staff. For Jetstream2 and JupyterHub expertise, we thank Andrea Zonca (San Diego Supercomputing Center), Jeremy Fischer, Mike Lowe (Indiana University), the NSF Jetstream2 (`doi:10.1145/3437359.3465565`) team.\n",
+    "\n",
+    "This work employs the NSF Jetstream2 Cloud at Indiana University through allocation EES220002 from the Advanced Cyberinfrastructure Coordination Ecosystem: Services & Support (ACCESS) program, which is supported by National Science Foundation grants #2138259, #2138286, #2138307, #2137603, and #2138296.\n",
+    "\n",
+    "Unidata is one of the University Corporation for Atmospheric Research (UCAR)'s Community Programs (UCP), and is funded primarily by the National Science Foundation (AGS-2403649).\n",
+    "\n",
+    "## To Acknowledge This JupyterHub and the Unidata Science Gateway\n",
+    "\n",
+    "If you have benefited from the Unidata Science Gateway, please cite `doi:10.5065/688s-2w73`. Additional citation information can be found in this [Citation File Format file](https://raw.githubusercontent.com/Unidata/science-gateway/master/CITATION.cff).\n"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

jupyter-images/mvu24f/Dockerfile

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+# Heavily borrowed from docker-stacks/minimal-notebook/
+# https://github.com/jupyter/docker-stacks/blob/main/minimal-notebook/Dockerfile
+
+# Due to a linking issue with glibc, I'm basing this image off a previous
+# semester's image
+
+FROM unidata/mvu24s:2024Mar12_145946_8a22
+
+ENV DEFAULT_ENV_NAME=mvu24f EDITOR=nano VISUAL=nano
+
+LABEL maintainer="Unidata <[email protected]>"
+
+USER root
+
+RUN apt-get update && \
+    apt-get install -y --no-install-recommends vim nano curl zip unzip wget \
+      gcc cpp gfortran g++ openmpi-bin libopenmpi-dev git csh perl file \
+      make m4 ca-certificates libgl1 && \
+    apt-get clean && \
+    rm -rf /var/lib/apt/lists/*
+
+USER $NB_UID
+
+ADD environment.yml /tmp
+
+# Rename the previous environment before updating it
+RUN mamba rename -n mvu24s $DEFAULT_ENV_NAME && \
+    mamba install --quiet --yes \
+      'conda-forge::nb_conda_kernels' \
+      'conda-forge::jupyterlab-git' \
+      'conda-forge::ipywidgets' && \
+    mamba env update --name $DEFAULT_ENV_NAME -f /tmp/environment.yml && \
+    pip install --no-cache-dir nbgitpuller && \
+    mamba clean --all -f -y && \
+    jupyter lab clean -y && \
+    npm cache clean --force && \
+    rm -rf /home/$NB_USER/.cache/yarn && \
+    rm -rf /home/$NB_USER/.node-gyp && \
+    fix-permissions $CONDA_DIR && \
+    fix-permissions /home/$NB_USER
+
+COPY additional_kernels.ipynb update_material.ipynb Acknowledgements.ipynb \
+    default_kernel.py .condarc /
+
+ARG JUPYTER_SETTINGS_DIR=/opt/conda/share/jupyter/lab/settings/
+COPY overrides.json $JUPYTER_SETTINGS_DIR
+
+USER root
+
+RUN chown -R ${NB_UID}:${NB_GID} /Build_WRF/WRF && \
+    ldconfig /Build_WRF/LIBRARIES/netcdf/lib
+
+USER $NB_UID

jupyter-images/mvu24f/additional_kernels.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "a9d9cf3f-590d-40ef-8421-a9789a03bb07",
+   "metadata": {},
+   "source": [
+    "### Creating Additional Kernels\n",
+    "\n",
+    "You can also create additional kernels and have them be available via the kernel menu. Your kernel must contain the `nb_conda_kernels` and `ipykernel` packages for this to work. For example, if you wish to have a kernel with the `seaborn` package, you can create the following `environment.yml` from the terminal with the `pico` editor:\n",
+    "\n",
+    "```yaml\n",
+    " name: myenv\n",
+    " channels:\n",
+    "   - conda-forge\n",
+    " dependencies:\n",
+    "   - python=3\n",
+    "   - seaborn\n",
+    "   - nb_conda_kernels\n",
+    "   - ipykernel\n",
+    "```\n",
+    "\n",
+    "followed by\n",
+    "\n",
+    "`mamba env update --name myenv -f environment.yml`\n",
+    "\n",
+    "at this point `myenv` will be available via the `Kernel → Change kernel...` menu."
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

jupyter-images/mvu24f/build.sh

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+#!/bin/bash
+
+# Check if an image name is provided
+if [ -z "$1" ]; then
+    echo "Error: No image name provided."
+    echo "Usage: $0 <image-name>"
+    exit 1
+fi
+
+IMAGE_NAME=$1
+
+DATE_TAG=$(date "+%Y%b%d_%H%M%S")
+RANDOM_HEX=$(openssl rand -hex 2)
+TAG="${DATE_TAG}_${RANDOM_HEX}"
+
+FULL_TAG="unidata/$IMAGE_NAME:$TAG"
+
+echo "Building Docker image with tag: $FULL_TAG"
+
+docker build --no-cache --pull --tag "$FULL_TAG" .
+
+# Check if the build was successful
+if [ $? -eq 0 ]; then
+    echo "Docker image built successfully: $FULL_TAG"
+else
+    echo "Error: Docker build failed."
+    exit 1
+fi