def _init_Z(self, init="permute", X=None):
        if X is None:
            X = self.X
        if "permute" in init:
            Z = np.random.permutation(X.copy())[:self.num_inducing]
        elif init in "random":
            Z = np.random.randn(self.num_inducing, self.input_dim) * X.var()
        return Z
dataset/ETHPy150Open SheffieldML/GPy/GPy/models/mrd.py/MRD._init_Z/swapped operands of `in`