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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 get_prediction(self, u=0):
 """ Predicts the next state of the filter and returns it without altering the state of the filter. Parameters u : np.array optional control input Returns ------- (x, P) : tuple State vector and covariance array of the prediction. """


        x = dot(self.F, self.x) + dot(self.B, u)
        P = self._alpha_sq * dot(dot(self.F, self.P), self.F.T) + self.Q
        return (x, P)