def simulate(self):
for job in self.design:
self.setJobParameters(job)
job_outputs = collections.OrderedDict(
) # a dictionary accessed by output variable name
# initialize empty lists to track repetition outputs for each output variable
for output in self.output_getters:
job_outputs[output] = []
for i in range(self.job_repetitions):
self.initiateSim()
while not self.stopSim():
self.stepSim()
outputs = self.getOutputs()
for output in outputs:
job_outputs[output].append(outputs[output])
self.outputFile.write("\n %d" % job["job_id"])
self.fileWriteJobParameters(job)
self.fileWriteOutputs(outputs)
# write statistics to file
averages = collections.OrderedDict()
stddevs = collections.OrderedDict()
for variable in job_outputs:
averages[variable] = U.mean(job_outputs[variable])
stddevs[variable] = U.popStdDev(job_outputs[variable])
self.summary_avgs[job["job_id"]] = averages
self.summary_stds[job["job_id"]] = stddevs
self.output("\naverages: ")
self.fileWriteJobParameters(job)
self.fileWriteOutputs(averages)
self.output("\nstandard deviations: ")
self.fileWriteJobParameters(job)
self.fileWriteOutputs(stddevs)
def simulate(self):
for job in self.design:
self.setJobParameters(job)
job_outputs = collections.OrderedDict() # a dictionary accessed by output variable name
# initialize empty lists to track repetition outputs for each output variable
for output in self.output_getters:
job_outputs[output] = []
for i in range(self.job_repetitions):
self.datetime = U.getTimeStampString()
self.initiateSim()
while not self.stopSim():
self.stepSim()
outputs = self.getOutputs()
for output in outputs:
job_outputs[output].append(outputs[output])
self.outputFile.write("\n %s, %d"%(self.datetime, job["job_id"]))
self.fileWriteJobParameters(job)
self.fileWriteOutputs(outputs)
# write statistics to file
averages = collections.OrderedDict()
stddevs = collections.OrderedDict()
for variable in job_outputs:
averages[variable] = U.mean(job_outputs[variable])
stddevs[variable] = U.popStdDev(job_outputs[variable])
self.summary_avgs[job["job_id"]] = averages
self.summary_stds[job["job_id"]] = stddevs
self.output("\naverages: ")
self.fileWriteJobParameters(job)
self.fileWriteOutputs(averages)
self.output("\nstandard deviations: ")
self.fileWriteJobParameters(job)
self.fileWriteOutputs(stddevs)
def computeMetrics(self):
scores = [agent.score for agent in self.agent_set]
self.mean = u.mean(scores)
self.std = u.popStdDev(scores)
self.minscore = min(scores)
self.medscore = u.median(scores)
self.maxscore =max(scores)
agents_sorted = sorted(self.agent_set, key=lambda agent:agent.score)
self.minscoreHfraction = agents_sorted[0].getHFraction()
self.maxscoreHfraction = agents_sorted[-1].getHFraction()
self.medscoreHfraction = agents_sorted[int(len(self.agent_set)/2)].getHFraction()
hfractions = [agent.getHFraction() for agent in self.agent_set]
self.medHfraction = u.median(hfractions)
self.avgHfraction = u.mean(hfractions)
self.minHfraction = min(hfractions)
self.maxHfraction = max(hfractions)
self.sumHfractions = sum(hfractions)
dhfractions = [abs(hfractions[i] - self.oldHfractions[i]) for i in range(len(hfractions))]
self.sumdH = sum(dhfractions)
