#cSurv = int(c.popSize * c.perElitist)
cSurv = int(c.perElitist * c.popSize)
###### required variables ######
fits = []
envs = ENVIRONMENTS()
###### Make a population ######
parents = POPULATION(c.popSize)
parents.Initialize()
###### Load Precursor into Population ######
if os.path.isfile(pickledPop) and loadPrecursor:
f = open(pickledPop, "rb")
parents.Copy_Best_From(pickle.load(f), cSurv)
f.close()
###### Print out fitness of initial parent ######
parents.Evaluate(envs, hideSim=True, startPaused=False, printFit=False)
parents.Print()
###### Iterate over generations ######
for g in range(0, c.numGens):
# Initialize Children and fill population
children = POPULATION(c.popSize)
children.Copy_Best_From(parents, cSurv)
# Rapture chance
evaluateTime = time.time() - fillTime
parents = copy.deepcopy(children)
copyTime = time.time() - evaluateTime
if g % 2 == 0:
print(g, end=" ")
children.Print()
else:
print(g)
recorder.record_times(g, evaluateTime, copyTime, fillTime, starttime,
entire_fill_temp)
recorder.add_metrics(parents.pop[0])
recorder.plotTimes()
recorder.plot_evolution()
best = POPULATION(1)
best.pop[0] = parents.Copy_Best_From(parents)
repeat = 'r'
while repeat == 'r':
best.Evaluate_Best(envs, pb=False, pp=True, retain_data=True)
recorder.plot_touch_values(best.pop[0])
repeat = input("Press 'r' to repeat: ")
saveOption = input("Save File? [y/n]")
if (saveOption == 'y'):
saveBot = True
saveLabel = input("file name: ")
else:
print("Not saved")
saveBot = False
robot_name = "spiderbot" + str(datetime.date.today()) + ".p"
