Merino - !! Pre-publication !!

Pre-publication version of data Flow for converting raw PR500 data into processed results

Setting up the environment for development:

1. Create a local conda environment
   1. <path to conda bin>/conda create --name merino python=2.7.11 numpy=1.11.2 pandas=0.18 h5py=2.6.0 requests==2.13.0 cmappy scipy setuptools
2. Activate the environment:
   1. source <path to conda bin>/activate merino
3. Add the merino code directory to the python path:
   1. cd <directory above path to merino code>
   2. python <path to merino code>/setup_merino.py develop
4. Run tests to verify setup
   1. cd <path to merino code>
   2. for a in test_*.py; do python $a; echo $a; read; done

TODO's

1. fix broken test: test_assemble_no_davepool.py test_main
2. get environment working with mysql / caldaia / lims to register plates