Skip to content

Only test unset BLAS and MKL on conda package for Windows #145

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.

Sign up for GitHub

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

Merged
roryyorke merged 2 commits into from
Feb 6, 2021
Merged

Only test unset BLAS and MKL on conda package for Windows #145

Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
a4dd916
failok for all windows versions unless BLAS is unset or mkl
bnavigator Jan 30, 2021
382f92f
Conda test only unset and mkl on windows
bnavigator Feb 3, 2021
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
17 changes: 9 additions & 8 deletions .github/scripts/set-conda-test-matrix.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -10,24 +10,25 @@
'win': 'windows',
}

blas_implementations = ['unset', 'Generic', 'OpenBLAS', 'Intel10_64lp']

combinations = {'ubuntu': blas_implementations,
'macos': blas_implementations,
'windows': ['unset', 'Intel10_64lp'],
}

conda_jobs = []
for conda_pkg_file in Path("slycot-conda-pkgs").glob("*/*.tar.bz2"):
cos = osmap[conda_pkg_file.parent.name.split("-")[0]]
m = re.search(r'py(\d)(\d+)_', conda_pkg_file.name)
pymajor, pyminor = int(m[1]), int(m[2])
cpy = f'{pymajor}.{pyminor}'
for cbl in ['unset', 'Generic', 'OpenBLAS', 'Intel10_64lp']:
for cbl in combinations[cos]:
cjob = {'packagekey': f'{cos}-{cpy}',
'os': cos,
'python': cpy,
'blas_lib': cbl}
if (cos == 'windows' and
pyminor < 8 and
cbl not in ['unset', 'Intel10_64lp']):
# fatal windows error because numpy and matplotlib directly
# link to mkl on older versions
cjob['failok'] = "FAILOK"
conda_jobs.append(cjob)

matrix = { 'include': conda_jobs }
print(json.dumps(matrix))
print(json.dumps(matrix))