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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def _compute_acq_withGradients(self, x):
 """ Integrated GP-Lower Confidence Bound and its derivative """

        means, stds, dmdxs, dsdxs = self.model.predict_withGradients(x)
        f_acqu = None
        df_acqu = None
        for m, s, dmdx, dsdx in zip(means, stds, dmdxs, dsdxs):  
            f = -m + self.exploration_weight * s        
            df = -dmdx + self.exploration_weight * dsdx
            if f_acqu is None:
                f_acqu = f        
                df_acqu = df
            else:
                f_acqu += f
                df_acqu += df
        return f_acqu/(len(means)), df_acqu/(len(means))