def __init__(self):
#-----location part
if parameters.location_mode:
self.mesh_size = 1./parameters.LD0range/2
f = lambda size: [[{} for x in xrange(int(size)+1)] for y in xrange(int(size)+1)]
self.mesh = f(self.mesh_size)
map_path = parameters.map_phenotype_image(parameters.maps)
self.load_terrain(map_path+".info.tmp", map_path+".tmp")
#------------------
from plant import Plant
from phenotype import Phenotype
self.plants = {}
self.allplantslist = []
self.generation = 0
self.__class__.default = self
self.__class__.environments += 1
debug.g("niche %d" % parameters.niche_size)
for i in xrange(parameters.niche_size):
if parameters.location_mode:
Plant.new(parameters.get_start_point(parameters.maps))
else:
Plant.new((0,0))
debug.g("*** %d" % len(self.plants))
self.optimal_global_phenotype = Phenotype()
self.base_phenotype = Phenotype()
self.survivors = parameters.niche_size
self.randomkiller = selectors.KillerRandom()
(self.killer, self.reproducer) = selectors.getSelectors()
self.phenotype_link = Phenotype
self.history = History(self)
self.history.update()
def crossbreed(self, gamete):
parent1 = self.origin
parent2 = gamete.origin
new_aut_TE = merge(self.aut_TE_list, gamete.aut_TE_list)
new_nonaut_TE = merge(self.nonaut_TE_list, gamete.nonaut_TE_list)
new_transposase_activity = 0.5 * (parent1.transposase_activity + parent2.transposase_activity)
if param.location_mode :
p = Plant.new(parent1.location, len(new_aut_TE), new_transposase_activity)
else :
p = Plant.new((0,0), len(new_aut_TE), new_transposase_activity)
p.inactive_transposons = 0 #self.inactive_transposons
p.phenotype = parent1.phenotype.generate_phenotype(parent2.phenotype)
p.ord_counter = parent1.ord_counter #nie wiem co tu ma byc
p.aut_transposons_list = new_aut_TE
p.aut_transposons = len(new_aut_TE)
p.nonaut_transposons_list = new_nonaut_TE
p.nonaut_transposons = len(new_nonaut_TE)
return p
