Debian Patches

Status for python-hmmlearn/0.3.3-2

Patch Description Author Forwarded Bugs Origin Last update
tied-make-covar-matrix-random-state.patch use the given random_state for tied covariance matrices make_covar_matrix() ignored its random_state argument for
covariance_type == 'tied' because make_spd_matrix() was called without it.
The matrix was therefore drawn from the global NumPy RNG, so the test data
of TestGaussianHMMWithTiedCovars depended on the seed picked in
conftest.py and test_fit_with_priors failed on some of them.		 yes debian https://github.com/hmmlearn/hmmlearn/issues/580 2026-10-29

All known versions for source package 'python-hmmlearn'

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