else:
realK = kVal
for [search, distance, cum] in runConfigs:
params = sim.SimInput(nVal, realK)
params.setSearchMethod(search)
params.setMutateDistance(distance)
params.setCumulativeDistance(cum)
params.generateAdjMatrix()
utils.logInitialConditions(logger, params, landscapes)
simulation = model.NK(params)
key = int(round(time.time() * 1000))
output = simulation.runSimulation(key, landscapes)
utils.logResults(logger, params, output, landscapes)
nextRow = []
nextRow.append(params.nValue())
nextRow.append(params.kValue())
nextRow.append(output.meanFitness())
nextRow.append(params.searchMethodString())
nextRow.append(params.mutateDistance())
nextRow.append(params.cumulativeDistance())
nextRow.append(output.landscapes())
nextRow.append(output.stddevFitness())
nextRow.append(output.meanAttemptedFlips())
nextRow.append(output.meanAcceptedFlips())
resWriter.writerow(nextRow)
resFile.flush()
results.append([params, output])
maxTimePeriod = int(div100 * 100)
output = []
plt.figure(figsize=(15,24))
plt.xlabel("Time Period")
plt.ylabel("Fitness")
ax = plt.subplot(len(settings.kList) * len(settings.nList), 1, plotId)
""" Calculate the time periodwise average system fitness """
for configIndex in range(0, len(runConfigs)):
tempo = sim.SimOutput()
tempo.setLandscapes(landscapes)
tempo.setFinessDistribution(fitnessDistribution[configIndex])
tempo.setAttemptedFlipsDistribution(attemptedFlipsDist[configIndex])
tempo.setAcceptedFlipsDistribution(acceptedFlipsDist[configIndex])
output.append(tempo)
utils.logResults(logger, params[configIndex], tempo, landscapes)
nextRow = []
nextRow.append(params[configIndex].nValue())
nextRow.append(params[configIndex].kValue())
nextRow.append(output[configIndex].meanFitness())
nextRow.append(params[configIndex].searchMethodString())
nextRow.append(params[configIndex].mutateDistance())
nextRow.append(params[configIndex].cumulativeDistance())
nextRow.append(output[configIndex].landscapes())
nextRow.append(output[configIndex].stddevFitness())
nextRow.append(output[configIndex].meanAttemptedFlips())
nextRow.append(output[configIndex].meanAcceptedFlips())
resWriter.writerow(nextRow)
resFile.flush()
results.append([params[configIndex], output[configIndex]])
