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:])