def __init__(self, verbose = False):
self.verbose = verbose
# Read the current experiment's parameters
params = ExperimentParameters()
# Create a Turtle that will be used to render the trees. Its parameters will be updated when needed.
turtle = Turtle()
# Initialize the genetic evolver
lsystem = ParametricLSystem(params.randomSeed)
generator = PlantsIncrementalGenerator(params.randomSeed, # We use a PlantsIncrementalGenerator, so that everything evolved here is plant-like
parameterized=True, # Woooo
definesProbability=0, #TODO: fix! defines are not working because they are not saved with the instances!
constantsProbability=1
)
generator.setLSystem(lsystem)
generator.targetIterations = params.targetIterations
#generator.branchProbability = 0.7
#generator.mutation_steps_at_once = params.mutationStepsAtOnce
generator.verbose = False
generator.verbose_super = False
evolver = GeneticEvolver(turtle)
evolver.setGenerator(generator)
evolver.initialPopulationGenerationChoice = InitialPopulationGenerationChoice.RANDOMIZED
#evolver.populationInitialisationComplexifySteps = 2 # A good number to obtain a randomized tree without taking too much time
evolver.discardEmptyEvolutions = True
evolver.discardLSystemsLargerThan = 1000
evolver.verbose = False
evolver.mini_verbose = False
evolver.recap_verbose = False
self.params = params
self.evolver = evolver
class OBJECT_OT_AbstractOperatorLSystem(bpy.types.Operator):
def execute(self, context):
self.tree_creator = bpy.types.Scene.tree_creator
self.current_genetic_instance = bpy.types.Scene.current_genetic_instance
return {'FINISHED'}
def createGenerator(self):
# Parameters that are not saved in the genetic instance (common for all instances)
parameterized = getattr(self.tree_creator,'parameterized')
#TODO: The generator could be created only ONCE for all operators, and is not used by all of them!
#self.generator = IncrementalGenerator(
self.generator = PlantsIncrementalGenerator(
parameterized = parameterized,
definesProbability = getattr(self.tree_creator,'defines_probability'),
constantsProbability = 1#getattr(self.tree_creator,'constants_probability')
)
self.generator.setLSystem(self.current_genetic_instance.lsystem)
self.generator.targetIterations = getattr(self.tree_creator,'target_iterations')
self.generator.branchProbability = getattr(self.tree_creator,'branch_probability')
self.generator.mutation_steps_at_once = getattr(self.tree_creator,'mutation_steps')
def createGenerator(self):
# Parameters that are not saved in the genetic instance (common for all instances)
parameterized = getattr(self.tree_creator,'parameterized')
#TODO: The generator could be created only ONCE for all operators, and is not used by all of them!
#self.generator = IncrementalGenerator(
self.generator = PlantsIncrementalGenerator(
parameterized = parameterized,
definesProbability = getattr(self.tree_creator,'defines_probability'),
constantsProbability = 1#getattr(self.tree_creator,'constants_probability')
)
self.generator.setLSystem(self.current_genetic_instance.lsystem)
self.generator.targetIterations = getattr(self.tree_creator,'target_iterations')
self.generator.branchProbability = getattr(self.tree_creator,'branch_probability')
self.generator.mutation_steps_at_once = getattr(self.tree_creator,'mutation_steps')