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CI is still failing on Linux_Nightly.pylatest_pip_scipy_dev (Oct 20, 2023)
The text was updated successfully, but these errors were encountered:
The test_singular_matrix one is probably due to scipy using upstream SuperLU code scipy/scipy#19284. This seems to change the behaviour slightly.
test_singular_matrix
In particular, the following snippet raises RuntimeError: Factor is exactly singular with the latest scipy release but does not error with scipy dev:
RuntimeError: Factor is exactly singular
import numpy as np from scipy import sparse arr = np.array([ [ 2.5, 1.5, -0.5, -0.5, -0.5, -0.5, -0.5, -0.5, -0.5, -0.5], [ 1.5, 2.5, -0.5, -0.5, -0.5, -0.5, -0.5, -0.5, -0.5, -0.5], [-0.5, -0.5, 1. , 0. , 0. , 0. , 0. , 0. , 0. , 0. ], [-0.5, -0.5, 0. , 1. , 0. , 0. , 0. , 0. , 0. , 0. ], [-0.5, -0.5, 0. , 0. , 1. , 0. , 0. , 0. , 0. , 0. ], [-0.5, -0.5, 0. , 0. , 0. , 1. , 0. , 0. , 0. , 0. ], [-0.5, -0.5, 0. , 0. , 0. , 0. , 1. , 0. , 0. , 0. ], [-0.5, -0.5, 0. , 0. , 0. , 0. , 0. , 1. , 0. , 0. ], [-0.5, -0.5, 0. , 0. , 0. , 0. , 0. , 0. , 1. , 0. ], [-0.5, -0.5, 0. , 0. , 0. , 0. , 0. , 0. , 0. , 1. ]]) matrix = sparse.csc_matrix(arr) sparse.linalg.eigsh(matrix, 2, sigma=0.0, tol=1e-6, maxiter=100)
Not sure if this is an unwanted change from Scipy or this is something we should adapt to on our side.
The minibatch_sensible_reassign[34] has been seen elsewhere e.g. #26802 so it does not seem to be scipy-dev specific.
minibatch_sensible_reassign[34]
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CI is still failing on Linux_Nightly.pylatest_pip_scipy_dev (Oct 20, 2023)
The text was updated successfully, but these errors were encountered: