content: ARG BASE_IMAGE=quay.io/jupyter/minimal-notebook
  FROM $BASE_IMAGE
  
  # Name your environment and choose the Python version
  ARG env_name=python313
  ARG py_ver=3.13
  
  # You can add additional libraries here
  RUN mamba create --yes -p "${CONDA_DIR}/envs/${env_name}" \
      python=${py_ver} \
      'ipykernel' \
      'jupyterlab' && \
      mamba clean --all -f -y
  
  # Alternatively, you can comment out the lines above and uncomment those below
  # if you'd prefer to use a YAML file present in the docker build context
  
  # COPY --chown=${NB_UID}:${NB_GID} environment.yml /tmp/
  # RUN mamba env create -p "${CONDA_DIR}/envs/${env_name}" -f /tmp/environment.yml && \
  #     mamba clean --all -f -y
  
  # Create Python kernel and link it to jupyter
  RUN "${CONDA_DIR}/envs/${env_name}/bin/python" -m ipykernel install --user --name="${env_name}" && \
      fix-permissions "${CONDA_DIR}" && \
      fix-permissions "/home/${NB_USER}"
  
  # Any additional `pip` installs can be added by using the following line
  # Using `mamba` is highly recommended though
  RUN "${CONDA_DIR}/envs/${env_name}/bin/pip" install --no-cache-dir \
      'flake8'
  
  # This changes the custom Python kernel so that the custom environment will
  # be activated for the respective Jupyter Notebook and Jupyter Console
  # hadolint ignore=DL3059
  RUN /opt/setup-scripts/activate_notebook_custom_env.py "${env_name}"
  
  # Comment the line above and uncomment the section below instead to activate the custom environment by default
  # Note: uncommenting this section makes "${env_name}" default both for Jupyter Notebook and Terminals
  # More information here: https://github.com/jupyter/docker-stacks/pull/2047
  # USER root
  # RUN \
  #     # This changes a startup hook, which will activate the custom environment for the process
  #     echo conda activate "${env_name}" >> /usr/local/bin/before-notebook.d/10activate-conda-env.sh && \
  #     # This makes the custom environment default in Jupyter Terminals for all users which might be created later
  #     echo conda activate "${env_name}" >> /etc/skel/.bashrc && \
  #     # This makes the custom environment default in Jupyter Terminals for already existing NB_USER
  #     echo conda activate "${env_name}" >> "/home/${NB_USER}/.bashrc"
  
  USER ${NB_UID}
  