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.simInitFunc()
while not self.simStopFunc():
self.simStepFunc()
outputs = self.getOutputs()
for output in outputs:
job_outputs[output].append(outputs[output])
self.outputFile.write("\n")
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.standardDeviation(job_outputs[variable])
self.output("\naverages: ")
self.fileWriteOutputs(averages)
self.output("\nstandard deviations: ")
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.simInitFunc()
while not self.simStopFunc():
self.simStepFunc()
outputs = self.getOutputs()
for output in outputs:
job_outputs[output].append(outputs[output])
self.outputFile.write("\n")
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.standardDeviation(job_outputs[variable])
self.output("\naverages: ")
self.fileWriteOutputs(averages)
self.output("\nstandard deviations: ")
self.fileWriteOutputs(stddevs)
def std_pop(self):
return U.standardDeviation(self.theWorld.populations[self.metrics_start:])
def std_pop(self):
return U.standardDeviation(
self.theWorld.populations[self.metrics_start:])
