anchor.diff:  # Docker commands:
   #   docker rm scalable_agent -v
   #   docker build -t scalable_agent .
  -#   docker run --name scalable_agent scalable_agent
  +#   docker run --name scalable_agent scalable_agent
positive.code: # g++ (v. 5.4) does not work: https://github.com/tensorflow/tensorflow/issues/13308
  RUN apt-get update && apt-get install -y \
      curl \
      zip \
      unzip \
      software-properties-common \
  
negative.code:     libjpeg-dev
  
  # Install bazel
      # The Following Breaks for bazel 0.17.1
      #
      # RUN echo "deb [arch=amd64] http://storage.googleapis.com/bazel-apt stable jdk1.8" | \
      # tee /etc/apt/sources.list.d/bazel.list && \
      # curl https://bazel.build/bazel-release.pub.gpg | \
      # apt-key add - && \
      # apt-get update && apt-get install -y bazel
      #
      #
  RUN export BAZEL_VERSION=0.16.1 && \
      wget https://github.com/bazelbuild/bazel/releases/download/$BAZEL_VERSION/bazel-$BAZEL_VERSION-installer-linux-x86_64.sh && \
      sed -i 's@sudo@, @g' bazel-$BAZEL_VERSION-installer-linux-x86_64.sh && \
      chmod +x bazel-$BAZEL_VERSION-installer-linux-x86_64.sh &&\
      ./bazel-$BAZEL_VERSION-installer-linux-x86_64.sh --user
  
  ENV PATH="/root/bin:${PATH}"
  
  # Install TensorFlow and other dependencies
  # .................................
  # sonnet's last version isn't stable yet 
  # see https://github.com/deepmind/scalable_agent/issues/28
  # see https://github.com/deepmind/graph_nets/issues/2
  RUN pip install tensorflow==1.9.0 tensorflow_probability dm-sonnet==1.23
  
  # Build and install DeepMind Lab pip package.
  # We explicitly set the Numpy path as shown here:
  