def getRandam1HDMutant(self, configuration, avoidNodes={}):
randomNode = sim.getRandomInt(0, self.__inputs.nValue()-1, avoidNodes)
randomAllele = sim.getRandomInt(0, self.__inputs.aValue()-1)
# Find an Allele at position randomNode that is different
while randomAllele == configuration[randomNode]:
randomAllele = sim.getRandomInt(0, self.__inputs.aValue()-1)
randomConfig = list(configuration)
randomConfig[randomNode] = randomAllele
return [randomNode, randomConfig]
def __init__(self, simInput):
self.__inputs = simInput
if simInput.isUserDefinedStartConfig():
[self.__nodeConfig, self.__fitnessDict] = simInput.startConfig()
else:
self.__nodeConfig = list([])
self.__fitnessDict = dict({})
for index in range(0, self.__inputs.nValue()):
nextNodeValue = sim.getRandomInt(0, self.__inputs.aValue()-1)
self.__nodeConfig.append(nextNodeValue)
self.__fitnessDict[index] = dict({})
self.logger = logging.getLogger(__name__)
def setup(self):
self.__randContext = dict({})
self.__attemptedFlips = 0
self.__attLog = []
self.__acceptedFlips = 0
self.__accLog = []
self.__visibleNodes = {}
self.__opaqueNodes = {}
for index in range(0, self.__inputs.nBar()):
nextVisibleNode = sim.getRandomInt(0, self.__inputs.nValue() - 1, self.__visibleNodes)
self.__visibleNodes[nextVisibleNode] = 1
for index in range(0, self.__inputs.nValue()):
if index not in self.__visibleNodes:
self.__opaqueNodes[index] = 1
def getJumpNeighbour(self, configuration, distance, cumulative):
"""
When cumulative is True a random distance in [1, distance] is chosen
and a configuration at that random distance is generated
When cumulative is False a configuration at exactly distance is generated
"""
nodesMutated = {}
nodesMutated.update(self.__opaqueNodes)
current = configuration
if cumulative == True:
generatedDistance = sim.getRandomInt(1, distance)
else:
generatedDistance = distance
for index in range(0, generatedDistance):
[nextNode, nextConfig] = self.getRandam1HDMutant(current, nodesMutated)
nodesMutated[nextNode] = 1
current = nextConfig
return current