[WIP] Experiment in streamlining travis

[jchodera]

This is the beginning of an experiment to streamline travis and produce linux, source, and osx build artifacts using docker images.

Currently, no testing or S3 docs deployment is done.

[peastman]

What are you doing working on this? It's Christmas!

[jchodera]

Hopefully saving myself from having to spend an actual vacation building more release artifacts. :)

[jchodera]

Tests run inside the docker container don't fail gracefully because CUDA is installed but no CUDA devices are available:

>       this = _openmm.new_Context(*args)
E       Exception: St8bad_cast
/miniconda/lib/python3.5/site-packages/simtk/openmm/openmm.py:4035: Exception
----------------------------- Captured stderr call -----------------------------
NVIDIA: no NVIDIA devices found
NVIDIA: no NVIDIA devices found
NVIDIA: no NVIDIA devices found
______________________ TestModeller.test_addHydrogenspH11 ______________________

Is there a way around those failures? Or is it best to build a conda package in the docker container, install it in the travis environment (outside the container) directly, and test that?

[peastman]

You can turn off OPENMM_BUILD_CUDA_TESTS.

[jchodera]

This might be worth revisiting at some point since it shaved 40 minutes off the total build time (from 1h28m to 50m total time).