def rootSynapseNode():###symmetric shouldn't be True
node = SynapseNode(None, None, True, defaultSynapseTransform(), defaultSynapseTransform())
node.tree = SynapseTree(node, emptyMutationRates((Synapses.divisionDataSize)), \
emptyMutationRates((2, Synapses.divisionDataSize)))
return node
return child
def setSymmetric(self, symmetric):
self.symmetric = symmetric
if (not self.complete):
self.left.setSymmetric(symmetric)
self.right.setSymmetric(symmetric)
def copy(self):
return SynapseNode(self.left, self.right, self.complete, self.leftTransform, self.rightTransform, \
self.sourceCarries, self.sinkCarries, self.symmetric)
leafNeuronNode = NeuronNode(None, None, True, defaultNeuronTransform(), defaultNeuronTransform())
leafSynapseNode = SynapseNode(None, None, True, defaultSynapseTransform(), defaultSynapseTransform())
def rootNeuronNode():
node = NeuronNode(None, None, True, defaultNeuronTransform(), defaultNeuronTransform())
node.tree = NeuronTree(node, emptyMutationRates((Neurons.divisionDataSize)), \
emptyMutationRates((2, Neurons.divisionDataSize)))
return node
def inputTree():
return NeuronTree(None, emptyMutationRates((Neurons.inputDivisionDataSize)), \
emptyMutationRates((2, Neurons.inputDivisionDataSize)))
def rootSynapseNode():###symmetric shouldn't be True
node = SynapseNode(None, None, True, defaultSynapseTransform(), defaultSynapseTransform())
node.tree = SynapseTree(node, emptyMutationRates((Synapses.divisionDataSize)), \
emptyMutationRates((2, Synapses.divisionDataSize)))
