anchor.diff:  EXPOSE 9000
   RUN find / -name "parsey_api" -size +512k  |xargs cp -t  /work/ 
   CMD ["/bin/bash"]
  -#RUN /work/parsey_api --port=9000 /work/api/parsey_model
  -#ENTRYPOINT ["/work/parsey_api --port=9000 /work/api/parsey_model"]
  +#CMD ["/work/parsey_api --port=9000 /work/api/parsey_model"]
   
   
   # COMMANDS to build and run API Server
   # ===============================
   # mkdir build && cp Dockerfile build/ && cd build
  -# docker build -t dsparseyapi .
  -# docker run dsparseyapi -p 9000:9000
  -# docker run -it dsparseyapi  /bin/bash
  +# docker build -t dssyntaxnet .
  +# docker run dssyntaxnet --net=host -p 9000:9000
  +# docker run -it dssyntaxnet  /bin/bash
   
  -# CLIENT (WIP)
  +# CLIENT (WIP) 
  +# In another terminal, run the client
   # ===============================
  +# Node JS
  +# https://github.com/dmansfield/parsey-mcparseface-api/tree/master/parsey_client
  +# Python client
  +# https://github.com/dsindex/syntaxnet/blob/master/api/parsey_client.py
  +#
   # docker network inspect bridge // find the ip address eg. "IPv4Address": "172.17.0.2/16"
   # TODO - make this work. 
  -# telnet 172.17.0.2 9000+# telnet 0.0.0.0 9000
  
positive.code:         libpng12-dev \
          libzmq3-dev \
          libcurl3-dev \
          pkg-config \
          python-dev \
          python-numpy \
  
negative.code: # Use this docker-compose.yml file to start services.
  # https://github.com/johndpope/DockerParseyAPI
  
  # https://github.com/tensorflow/tensorflow/tree/master/tensorflow/tools/docker
  # https://github.com/tensorflow/tensorflow/blob/master/tensorflow/tools/docker/Dockerfile.devel
  # https://github.com/tensorflow/tensorflow/blob/master/tensorflow/tools/docker/Dockerfile.devel-gpu
  
  
  FROM gcr.io/tensorflow/tensorflow:latest-devel
  
  ENV SYNTAXNETDIR=/work/serving/tensorflow PATH=$PATH:/root/bin
  