jonescompneurolab/hnn: HNN Release 1.3.0

New features:

• Use hyperthreading cores in determining number of cores to run on for better performance
• Windows: running with WSL is much faster than native install and via Docker

Analysis:

• Dipole data files are saved with higher precision to avoid rounding errors when dipole is very small

Docker:

• Shared directory is now hnn_out. This directory exists in the docker container at the same path as on the host OS (e.g. /Users/me/hnn_out) instead of /home/hnn_user/hnn_out
• When loading files in GUI, there are shortcuts to hnn_out and source code directories
• Improve error checking: xauthority keys, ssh keys, open ports
• Refactoring of hnn_docker.sh that makes it much more robust
• Stop using docker-compose. Only relies on docker to manage containers
• Clean up hnn_docker.log formatting and remove special characters from output

Ubuntu:

• Install script renamed to hnn-ubuntu.sh
• Install script works with ubuntu 14.04, 16.04 and 18.04
• Use the precompiled NEURON package instead of compiling from source
• Log output from install script to ubuntu_install.log

Windows:

• Renamed install script to hnn-windows.ps1
• Support user names with spaces (issue #163)
• Install script will work for users without admin privileges (except MPI)
• Include a windows container Dockerfile that is used by Travis. It can be used to run simulations, but cannot launch GUI
• Support running HNN from WSL and run tests in Travis.

Mac

• Install now tested on OS versions Catalina, Mojave, Sierra, High Sierra, and El Capitan