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gnu: python-pgmpy: Skip more tests, run in parallel.

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* gnu/packages/statistics.scm (python-pgmpy) [arguments] <test-flags>:
Skip 4 more tests, run in up to 8 threads to improve performance,
supported upstream.
[native-inputs]: Add python-pytest-xdist.

Change-Id: I7071114299dc2dc4e52e79a36fcda0d12892653f
This commit is contained in:
Sharlatan Hellseher 2025-04-24 11:25:07 +01:00
parent 897d8a0d20
commit e4cd1b9d8f
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GPG key ID: 76D727BFF62CD2B5
1 changed files with 23 additions and 9 deletions
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gnu/packages/statistics.scm
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@ -3328,11 +3328,24 @@ statistical summary in arrays and enumerables.")
"1hg6wrg3jcac71zn4gknni1wrn38wa86ka3sgp2bndz59mx6sr2s")))) "1hg6wrg3jcac71zn4gknni1wrn38wa86ka3sgp2bndz59mx6sr2s"))))
(build-system pyproject-build-system) (build-system pyproject-build-system)
(arguments (arguments
(list #:test-flags (list
#~(list "-k" (string-append #:test-flags
"not test_pillai" #~(list "--numprocesses" (number->string (min 8 (parallel-job-count)))
" and not test_estimate_with_cache_no_llm_calls" "-k" (string-join
" and not test_estimate_with_orientations")))) ;; AssertionError: False is not true
(list "not test_query_evidence"
;; ValueError: Experimental support for categorical
;; data is not implemented for current tree method
;; yet.
"test_pillai"
"test_estimate_with_cache_no_llm_calls"
"test_estimate_with_orientations"
;; _flapack.error: (liwork>=max(1,10*n)||liwork==-1)
;; failed for 10th keyword liwork: dsyevr:liwork=1
"test_estimate"
"test_score_bnlearn"
"test_score_manual")
" and not "))))
(propagated-inputs (list python-daft (propagated-inputs (list python-daft
python-joblib python-joblib
python-networkx python-networkx
@ -3348,13 +3361,14 @@ statistical summary in arrays and enumerables.")
(native-inputs (list python-mock (native-inputs (list python-mock
python-pyro-ppl python-pyro-ppl
python-pytest python-pytest
python-pytest-xdist
python-setuptools python-setuptools
python-wheel python-wheel
python-xgboost)) python-xgboost))
(home-page "https://github.com/pgmpy/pgmpy") (home-page "https://github.com/pgmpy/pgmpy")
(synopsis "Probabilistic Graphical Models library") (synopsis "Probabilistic Graphical Models library")
(description "This package provides a library for Probabilistic (description
Graphical Models. It can be used for learning (Structure and Parameter), "This package provides a library for Probabilistic Graphical Models. It
inference (Probabilistic and Causal), and simulations in Bayesian can be used for learning (Structure and Parameter), inference (Probabilistic
Networks.") and Causal), and simulations in Bayesian Networks.")
(license license:expat))) (license license:expat)))