from semcplogic.model import ModelBuilder
from semcplogic.cpmodel import NonLinearCPLogicGenerator,LinearCPLogicGenerator
from semcplogic.cpcompiler import CPCompiler
from semcplogic.problogresult import GnuplotDrawer
from semcplogic.dataset import Dataset
from semcplogic.cpmodel import TableResultInterpreter
from experiments.latexreport import LatexTableResultInterpreter
b = ModelBuilder()
b.addNode("a")
b.addNode("b")
b.addNode("c")
b.setInfluence("a","c",1)
b.setInfluence("b","c",1)
m = b.consume()
d = Dataset(["a","b","c"])
d.addData(["laag","laag","hoog"])
d.addData(["laag","hoog","laag"])
d.addData(["hoog","laag","laag"])
d.addData(["hoog","hoog","hoog"])
def runCode(generator):
cpcode = generator.generate(m)
cc = CPCompiler()
runmodel = cc.compileCode(cpcode,d)
runmodel.iterations = 1000
result = runmodel.run()
return result
