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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 _preprocess_values(self, Y):
 """ Check if the values of the observations correspond to the values assumed by the likelihood function. ..Note:: Binary classification algorithm works better with classes {-1, 1} """

        Y_prep = Y.copy()
        Y1 = Y[Y.flatten()==1].size
        Y2 = Y[Y.flatten()==0].size
        assert Y1 + Y2 == Y.size, 'Bernoulli likelihood is meant to be used only with outputs in {0, 1}.'
        Y_prep[Y.flatten() == 0] = -1
        return Y_prep