def __init__(self,
autoFitness=True,
randomize=True,
mother=False,
father=False):
self.config = config.Config()
self.lights = [[], []]
for i in range(0, len(self.config.LIGHTSID)):
if (randomize):
self.lights[i].append(self.generateCromossome())
else:
self.lights[i].append(
self.crossCromossome(mother.getCromossome(i),
father.getCromossome(i)))
mutate = (float(random.randrange(0, 100)) / 100)
if (mutate <= self.config.MUTATIONRATE):
self.mutateMyself()
for i in range(0, len(self.config.LIGHTSID)):
self.lights[i].append(self.calculateTime(self.lights[i][0]))
self.lights[i].append(self.config.CYCLE_TIME - self.lights[i][1])
self.fitness = fitness.Fitness(self)
self.score = 0.0
if (autoFitness):
self.evaluateYourself()
self.lights.append(self.score)
#!/usr/bin/env python3
import argparse
import fitness
import quarantine
if __name__ == "__main__":
parser = argparse.ArgumentParser()
args = parser.parse_args()
PROVISIONER = "terraform-packet"
WORKER_TYPE = "gecko-t-linux"
f = fitness.Fitness(log_level=0, provisioner=PROVISIONER, alert_percent=85)
q = quarantine.Quarantine()
q.print_quarantined_workers(PROVISIONER, WORKER_TYPE)
f.simple_worker_report(WORKER_TYPE, worker_count=70)
# -*- coding: utf-8 -*-
"""
Spyder Editor
This is a temporary script file.
"""
from numpy import random
import fitness
#variables! Select type of fitness + which dataset
modelType = 'secondOrder'
dataSet = 'folk'
fit = fitness.Fitness(modelType, dataSet)
def mutateRandom(mlength=12, nrOfTones=12):
# define the length of the melody
mlength = 12
nrOfTones = 12
# instantiate some necessary variables
bestscore = 0
melody = random.randint(0, nrOfTones, mlength)
bestmelody = list(melody)
progress = []
mutaterange = range(nrOfTones)
#each loop decreases the number of mutations per round
for i in range(0, 5):
#each loop mutates the currentbest, checks it's fitness and updates currentbest
for x in range(0, 1000):
melody = list(bestmelody)