

def CalculateModelPredictions(self, inCoeffs, inDataCacheDictionary):
    x_in = b['X']
    a = inCoeffs[0]
    b = inCoeffs[1]
    c = inCoeffs[2]
    try:
        temp = (a * numpy.exp(((((- 1.0) * numpy.exp(((- 1.0) * ((x_in - b) / c)))) - ((x_in - b) / c)) + 1.0)))
        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 ExtremeValuePeak.CalculateModelPredictions/VarMisuse@16/27 `inDataCacheDictionary`->`b`