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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_inv_covariance(L_aug, Y, k, p):
 """Given label matrix L and labels Y, compute the covariance. Args: L: (np.array) [n, d] The augmented (indicator) label matrix """

    return np.linalg.inv(compute_covariance(L_aug, Y, k, p))