BUG: Made the error and warning messages for numpy.random.multivariate_normal more descriptive (closes #22140)

Issue #22140 says that numpy.random.multivariate_normal incorrectly warns that a non-symmetric positive-semidefinite matrix isn't positive-semidefinite. In the replies, there was some ambiguity over whether it was possible for a positive-semidefinite matrix to be non-symmetric, with reliable sources saying that symmetry is a common condition to add but not actually necessary. To solve this problem, two different members of the Numpy organization decided that the warning and error message "covariance is not positive-semidefinite" should be changed to "covariance is not symmetric positive-semidefinite". However, this change was never actually made yet.

Since this change only required me to change a few strings instead of actually changing the code, I've decided to skip the CI jobs.

[skip ci]

0 files changed, 0 insertions, 0 deletions