deployment schemes: [pre-defined] even deployment about dose HOT 2 CLOSED

Implemented deployment scheme: even deployment. Simulation reporting does not show changes despite implementation of even deployment.

1. Entire population is distributed evenly among user-defined eco-cells.
2. Ignores 'eco_cell_capacity' key in parameters and splits the population according to len(eco_cells).
3. Currently unfit for deployments that return a remainder when divided evenly.

from dose.

Bug regarding incorrect even location reporting now resolved. Problem was caused by genetic.py's Organism.clone(). Function does not properly deepcopy() the status dictionary of each organisms. It simply references all status dictionary of all organisms into one original dictionary. Reporting location now show the desired results according to even distribution to the cells. Was resolved by manually referencing each of the original organism to be cloned's status dictionary keys into the different clones. See genetic.py.

1. Location status of every individual now reports even spread among the user-defined cells.
2. Now fit to work for deployments that return a remainder when divided evenly. Entire even deployment scheme is rewritten, such that deployment of individuals iterate through the list of locations, making sure every individual get's a location.

from dose.