I have a program where I compute a cholesky decomposition of a correlation matrix.
Sometimes, the correlation matrix is empty (when there is no data). In this case, np.linalg.cholesky reports an error.
It would be better if it returned an empty matrix.
This has been tested on numpy 1.6.2 (on debian 7).