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Bug 754153 - sci-libs/scikit-learn: dropped keywords
Summary: sci-libs/scikit-learn: dropped keywords
Status: RESOLVED FIXED
Alias: None
Product: Gentoo Linux
Classification: Unclassified
Component: Keywording (show other bugs)
Hardware: All Linux
: Normal normal
Assignee: Aisha Tammy
URL:
Whiteboard:
Keywords: CC-ARCHES
Depends on:
Blocks:
 
Reported: 2020-11-12 15:07 UTC by Sam James
Modified: 2020-11-26 21:20 UTC (History)
1 user (show)

See Also:
Package list:
sci-libs/scikit-learn-0.23.2 ~arm64 ~ppc64
Runtime testing required: ---
nattka: sanity-check+


Attachments

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Description Sam James archtester Gentoo Infrastructure gentoo-dev Security 2020-11-12 15:07:01 UTC
thanks
Comment 1 Sam James archtester Gentoo Infrastructure gentoo-dev Security 2020-11-13 01:15:31 UTC
~arm64 added
Comment 2 NATTkA bot gentoo-dev Security 2020-11-13 21:36:49 UTC
Unable to check for sanity:

> no match for package: sci-libs/scikits_learn
Comment 3 NATTkA bot gentoo-dev Security 2020-11-13 21:48:49 UTC
Unable to check for sanity:

> no match for package: sci-libs/scikits-learn
Comment 4 Sergei Trofimovich (RETIRED) gentoo-dev 2020-11-14 19:29:57 UTC
Probably sci-libs/scikit-learn ?
Comment 5 NATTkA bot gentoo-dev Security 2020-11-15 11:24:54 UTC
All sanity-check issues have been resolved
Comment 6 Sam James archtester Gentoo Infrastructure gentoo-dev Security 2020-11-26 21:20:25 UTC
~ppc64 added:

========================================================================================== short test summary info ===========================================================================================
FAILED sklearn/datasets/tests/test_base.py::test_load_sample_images - IndexError: too many indices for array: array is 0-dimensional, but 3 were indexed
FAILED sklearn/datasets/tests/test_base.py::test_load_sample_image - AssertionError: assert dtype('O') == 'uint8'
FAILED sklearn/ensemble/tests/test_gradient_boosting.py::test_feature_importance_regression - urllib.error.URLError: <urlopen error [Errno -3] Temporary failure in name resolution>
ERROR sklearn/datasets/tests/test_lfw.py::test_load_empty_lfw_people - OSError: encoder jpeg not available
ERROR sklearn/datasets/tests/test_lfw.py::test_load_fake_lfw_people - OSError: encoder jpeg not available
ERROR sklearn/datasets/tests/test_lfw.py::test_load_fake_lfw_people_too_restrictive - OSError: encoder jpeg not available
ERROR sklearn/datasets/tests/test_lfw.py::test_load_empty_lfw_pairs - OSError: encoder jpeg not available
ERROR sklearn/datasets/tests/test_lfw.py::test_load_fake_lfw_pairs - OSError: encoder jpeg not available
================================================== 3 failed, 15079 passed, 805 skipped, 8 xfailed, 3 xpassed, 1747 warnings, 5 errors in 5397.88s (1:29:57) ==================================================
 * ERROR: sci-libs/scikit-learn-0.23.2::gentoo failed (test phase):
 *   testing failed with python3.7
 *
 * Call stack:

rather impressive!