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#EvolveConfig An EA that will tune a slicing profile to print optimally for any printer.

#Motivation Not all models and printers are made equal; some print jobs requrie more tuning than others. In an attempt to ameleorate this hardships, EvolveConfig is a python evolutionary algorithms that attempts to evolve slicing configs for you.

#Slicing Configs Slicing configs are expected in JSON. A map should be supplied, which both delineates the values to be evolved and the max/min values for each entry. We expect something that looks like this:

{ "slicingprofile" : { "layerheight" : ["r", 0, 1], "someparam" : ["r", -50.0, 50.0], "someSubTree" : { "paramA" : ["l", 0, 1], "paramB" : ["l", 0, 1, 2, 3, 4, 5], }

Each entry can be one of two types: a min/max random pair or a selection list (delineated by a r or l, respectively). A min/max random pair will generate a number greater than or equal to the min and less than or equal to the max. If the number is a decimal, a random decimal will be generated (similarly, an int yields an int). For selection, and value can be used. The config map should be a subset of the standard config, and only those that are evolvable should be included.