Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Scipy 1.9.1 #210

Merged
merged 3 commits into from
Aug 30, 2022
Merged

Scipy 1.9.1 #210

merged 3 commits into from
Aug 30, 2022

Conversation

h-vetinari
Copy link
Member

No description provided.

@conda-forge-linter
Copy link

Hi! This is the friendly automated conda-forge-linting service.

I just wanted to let you know that I linted all conda-recipes in your PR (recipe) and found it was in an excellent condition.

@h-vetinari h-vetinari marked this pull request as ready for review August 29, 2022 12:19
@h-vetinari h-vetinari added automerge Merge the PR when CI passes and removed automerge Merge the PR when CI passes labels Aug 29, 2022
@h-vetinari
Copy link
Member Author

@tylerjereddy @rgommers
One new failure on linux (does not seem to happen on osx or windows):

=========================== short test summary info ============================
FAILED linalg/tests/test_solvers.py::test_solve_discrete_are - AssertionError: 
= 1 failed, 49466 passed, 2839 skipped, 253 xfailed, 9 xpassed, 236 warnings in 780.89s (0:13:00) =

which looks like a tolerance violation:

E   AssertionError: 
E   Arrays are not almost equal to 5 decimals
E   
E   Mismatched elements: 1 / 9 (11.1%)
E   Max absolute difference: 1.78702176e-05
E   Max relative difference: inf
E    x: array([[ 1.78702e-05,  1.10194e-05, -2.05636e-06],
E          [ 1.10194e-05,  6.89924e-06, -1.35228e-06],
E          [-2.05636e-06, -1.35601e-06,  2.92435e-07]])
E    y: array([[0., 0., 0.],
E          [0., 0., 0.],
E          [0., 0., 0.]])

The respective machines have:

Supported SIMD extensions in this NumPy install:
    baseline = SSE,SSE2,SSE3
    found = SSSE3,SSE41,POPCNT,SSE42,AVX,F16C,FMA3,AVX2,AVX512F,AVX512CD,AVX512_SKX
    not found = AVX512_KNL,AVX512_KNM,AVX512_CLX,AVX512_CNL,AVX512_ICL

as well as

Supported SIMD extensions in this NumPy install:
    baseline = SSE,SSE2,SSE3
    found = SSSE3,SSE41,POPCNT,SSE42,AVX,F16C,FMA3,AVX2
    not found = AVX512F,AVX512CD,AVX512_KNL,AVX512_KNM,AVX512_SKX,AVX512_CLX,AVX512_CNL,AVX512_ICL

For the latter there's an additional failure:

________________________ test_failure_to_run_iterations ________________________
[gw1] linux -- Python 3.9.13 $PREFIX/bin/python
[...]/site-packages/scipy/sparse/linalg/_eigen/lobpcg/tests/test_lobpcg.py:267: in test_failure_to_run_iterations
    eigenvalues, _ = lobpcg(A, Q, maxiter=20)
E   Failed: DID NOT WARN. No warnings of type (<class 'UserWarning'>,) were emitted. The list of emitted warnings is: [].

@rgommers
Copy link
Contributor

That is likely because of a different BLAS/LAPACK version which we don't test with on the main repo. They seem fairly harmless. Maybe add a test bump for the first issue that we can upstream? And for the second one, maybe open an issue?

@h-vetinari h-vetinari merged commit 964b125 into conda-forge:main Aug 30, 2022
@h-vetinari h-vetinari deleted the bump branch August 30, 2022 11:40
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

Successfully merging this pull request may close these issues.

None yet

3 participants