def _foo(fb=10,
mutRate=0.1,
fun='pgg',
pars={
"fb": 10,
"b": 0.5,
"c": 0.05,
"gamma": 0.01
}):
population = Pop(fit_fun=fun, inst='test/test')
population.numberOfDemes = 5
population.initialDemeSize = 8
population.numberOfGenerations = 5
population.mutationRate = mutRate
# make sure fitness parameters are alright
population.fitnessParameters.clear()
population.fitnessParameters.update(pars)
population.fitnessParameters.update({'fb': fb})
population.runSimulation()
return population.numberOfGenerations
def _foo(fitfun='pgg'):
fakepop = Pop(inst='test/test')
fakepop.numberOfDemes = 3
fakepop.initialDemeSize = 10
fakepop.fitnessParameters = fitpardict[fitfun]
fakepop.fit_fun = fitfun
fakepop.mutationRate = 0
fakepop.migrationRate = 0
fakepop.createAndPopulateDemes()
for i in range(fakepop.demography):
fakepop.individuals[i].resourcesAmount = i * 2
parents = fakepop.individuals
for ind in range(len(parents)):
indiv = fakepop.individuals[ind]
indiv.resourcesAmount = ind * 2
fakepop.clearDemeInfo()
fakepop.populationMutationMigration()
fakepop.updateDemeInfoPreProduction()
fakepop.populationProduction()
fakepop.updateDemeInfoPostProduction()
fakepop.populationReproduction()
return (fakepop, parents)