from MFrag import SQLDiscreteCPTBN;

def likelihoodWeighting(bn):
	nodes = bn.getNodes();
	
def likelihoodWeightingStep(bn, nodes, evidence):
	for node in nodes:
		pass;
	
def lwSample(bn, node, evidence):
	# Sample parents
	parents = bn.getParents(node);
	pValues = {}
	if(len(parents) > 0):
		for parent in parents:
			pValues[parent] = lwSample(bn, parent, evidence);
	
	# Sample node
	cft = bn.stateFreq(db, node, parents, cft=True);
	return CFTtoCPT(cft, )

def CFTtoCPT():
	pass;