anchor.diff:  # Locale
   RUN sed -i -e 's/# en_GB.UTF-8 UTF-8/en_GB.UTF-8 UTF-8/' /etc/locale.gen && \
       locale-gen
  -ENV LANG en_GB.UTF-8  
  -ENV LANGUAGE en_GB:en  
  -ENV LC_ALL en_GB.UTF-8
   
  -ENV DATASCI_USER datasci
  -ENV DATASCI_UID 1000
  -ENV HOME /home/$DATASCI_USER
  +ENV LANG=en_GB.UTF-8 LANGUAGE=en_GB:en  LC_ALL=en_GB.UTF-8
   
  -ENV CONDA_DIR /opt/conda
  -ENV CONDA_BIN $CONDA_DIR/bin
  +ENV DATASCI_USER=datasci DATASCI_UID=1000 HOME=/home/$DATASCI_USER
  +ENV CONDA_DIR=/opt/conda CONDA_BIN=$CONDA_DIR/bin CONDA_SRC=/usr/local/src/conda
   ENV PATH $CONDA_BIN:$HOME.local/bin:$PATH
  -ENV CONDA_SRC /usr/local/src/conda
  -ENV Documents $HOME/Documents
  -ENV Downloads $HOME/Downloads
  -ENV Workspace $HOME/Workspace
  +
  +ENV Documents=$HOME/Documents Downloads=$HOME/Downloads Workspace=$HOME/Workspace
   
   ADD Scripts/setup_datasci_user.sh /tmp/setup_datasci_user.sh
   RUN bash /tmp/setup_datasci_user.sh
   
  +VOLUME ["$Documents", "$Downloads", "$Workspace"]
  +
   ADD Scripts/linux_setup.sh /tmp/linux_setup.sh
   RUN bash /tmp/linux_setup.sh
   
  -ENV SAGE_ROOT /usr/lib/sagemath/
  -ENV JUPYTER_SHARE /usr/local/share/jupyter
  -ENV USER_JUPYTER_KERNELS $HOME/.jupyter/kernels
  +ENV SAGE_ROOT=/usr/lib/sagemath/ JUPYTER_SHARE=/usr/local/share/jupyter USER_JUPYTER_KERNELS=$HOME/.jupyter/kernels
   
   ADD Scripts/install_sagemath.sh /tmp/install_sagemath.sh
   RUN bash /tmp/install_sagemath.sh
   
   # SHA Currently failing
  -ENV TINI_VERSION v0.15.0
  -ENV TINI_CHECKSUM 595E85A6B1B4779EA4DAAEC70B588DFF0527A9B7
  -ENV TINI_DIR /opt/tini
  +ENV TINI_VERSION=v0.15.0 TINI_CHECKSUM=595E85A6B1B4779EA4DAAEC70B588DFF0527A9B7 TINI_DIR=/opt/tini
   
   ADD Scripts/install_tini.sh /tmp/install_tini.sh
   RUN bash /tmp/install_tini.sh
  
positive.code: MAINTAINER Josh Cole <jwcole1@qinetiq.com>
  
  # Configure environment
  ENV DEBIAN_FRONTEND=noninteractive
  
  ENV SHELL /bin/bash
  ENV NAME base-data-science
  
  # The Basics
  RUN	apt --yes update && apt --yes upgrade
  
negative.code: # Expose Port For Jupyter
  EXPOSE 8888-9000
  
  USER $DATASCI_USER
  
  RUN rm -rf $HOME/.cache/pip/* && $CONDA_BIN/conda clean -i -l -t --yes
  