

def CalculateModelPredictions(self, inCoeffs, inDataCacheDictionary):
    x_NegX = inDataCacheDictionary['NegX']
    a = inCoeffs[0]
    b = inCoeffs[1]
    try:
        temp = (a * (1.0 - numpy.exp((temp * x_NegX))))
        return self.extendedVersionHandler.GetAdditionalModelPredictions(temp, inCoeffs, inDataCacheDictionary, self)
    except:
        return (numpy.ones(len(inDataCacheDictionary['DependentData'])) * 1e+300)

dataset/ETHPy150Open zunzun/pyeq2/Models_2D/Peak.py BoxLucasB.CalculateModelPredictions/VarMisuse@52/75 `b`->`temp`