ó
    ¦ñ:i�  ã                   ó:   • S SK r S SKrS SKrS SKJr  S SKJr  S rg)é    N)Ú__version__)Ú_openmp_parallelism_enabledc                  ó  • [         R                  " S5      (       a  [        R                  " S5        [        R
                  " S5      (       a  SOSn [        R                  " S5      R                  U 5      n[        5       (       d   U5       eg )NÚSKLEARN_SKIP_OPENMP_TESTz2test explicitly skipped (SKLEARN_SKIP_OPENMP_TEST)z.dev0ÚdevÚstableaÿ  
        This test fails because scikit-learn has been built without OpenMP.
        This is not recommended since some estimators will run in sequential
        mode instead of leveraging thread-based parallelism.

        You can find instructions to build scikit-learn with OpenMP at this
        address:

            https://scikit-learn.org/{}/developers/advanced_installation.html

        You can skip this test by setting the environment variable
        SKLEARN_SKIP_OPENMP_TEST to any value.
        )
ÚosÚgetenvÚpytestÚskipr   ÚendswithÚtextwrapÚdedentÚformatr   )Úbase_urlÚerr_msgs     Ú[/srv/projetos/modelo_ml_acdoc/venv/lib/python3.13/site-packages/sklearn/tests/test_build.pyÚtest_openmp_parallelism_enabledr   
   sp   € ô 
‡y‚yÐ+×,Ñ,Ü�ŠÐHÔIä#×,Ò,¨W×5Ñ5‰u¸8€HÜ�oŠoð	ó÷ �fˆXÓð ô  '×(Ñ(Ð1¨'Ó1Ñ(ó    )r	   r   r   Úsklearnr   Úsklearn.utils._openmp_helpersr   r   © r   r   Ú<module>r      s   ðÛ 	Û ã å Ý Eó2r   