-ip <SSKrSSKrSSKJr SSKJr SSKJr SSK J r SSK J r J r SSKJr SS/SS /S S /S S //r/S Qr/S Qr\R&R)S 5\R&R+S \\R,/-5\R&R+SSS/5\R&R+SSS/5\R&R+SSS/5S55555rS(SjrSrSrSr\R&R+SS\S4/5S5r\R&R+S S\S -/5S!5r\R&R+S"\S#4S$/5S%5r\R&R+S&S\S -/5S'5rg))N)stats)LogisticRegression) LinearSVC)l1_min_c)bounded_rand_int_wrap set_seed_wrap)CSR_CONTAINERS)rr r r )r rrzIignore:.*'liblinear' solver for multiclass classification is deprecated.* X_containerloss squared_hingelogY_label two-classes multi-classintercept_label no-intercept fit-interceptct[[S.nSS0SSS.S.nU"[5nXBnXSn[XgU40UD6 g)N)rr fit_interceptFT )rintercept_scaling)rr)Y1Y2dense_Xcheck_l1_min_c) r rrrYs interceptsXYintercept_paramss P/var/www/html/venv/lib/python3.13/site-packages/sklearn/svm/tests/test_bounds.py test_l1_min_cr%sQB /B(%0+/bIJ GA A!212!12c[UUUUUS9n[SSS9[SSSS9S.UnX6lXFlXVlUR X5 [R"UR5S :HR5(de[R"UR5S :HR5(deUS -UlUR X5 [R"UR5S :gR5(d9[R"UR5S :gR5(degg) N)rrrl1 liblinear)penaltysolverrF)rr*dual)rrrg)\(?) rrrrrCfitnpasarraycoef_all intercept_any)r!yrrrmin_cclfs r$rr's   #+  E"${C"ER   C &- EGGAM JJsyy !Q & + + - -- - JJs~~ &! + 0 0 2 22 2 DLCEGGAM JJsyy !Q & + + - -"**S^^2LPQ2Q1V1V1X1XX X1X -r&cSS/SS//nSS/n[R"[5 [X5 SSS5 g!,(df  g=f)Nrr )pytestraises ValueErrorr)r!r5s r$test_ill_posed_min_cr<Bs< Q!QA AA z " # " "s < A lc^[S5Vs/sHn[S5PM snm[ST55(de[U4SjT55(aegs snf)aTest that bounded_rand_int_wrap without seeding respects the range Note this test should pass either if executed alone, or in conjunctions with other tests that call set_seed explicit in any order: it checks invariants on the RNG instead of specific values. rdc3L# UHnSUs=:*=(a S:Os v M g7f)rr>N).0xs r$ 'test_newrand_default..Ts/YqA||||Ys"$c32># UH oTS:Hv M g7f)rNr@)rArB generateds r$rCrDUs8i ! $isN)rangerr2)_rFs @r$test_newrand_defaultrILsZ6;2Y?Y&s+Y?I /Y/ / // /8i8888 88@sAzseed, expected)r6 c>[U5 [S5nX!:Xdeg)z3Test that `set_seed` produces deterministic resultsr>N)rr)seedexpectedrFs r$test_newrand_set_seedrOXs"$%c*I   r&rMc[R"[5 [U5 SSS5 g!,(df  g=f)z=Test that `set_seed_wrap` is defined for unsigned 32bits intsN)r9r: OverflowErrorr)rMs r$test_newrand_set_seed_overflowrR`s$ } %d & % % 0 >z range_, n_ptsi')r>c8[S5 Sn/n[R"SUS9n[U5Hbn[U5Vs/sHn[ U5PM nn[R "XdR 5nURUR5 Md [R"SSS9n[R "X8R 5n U RS:dSU RS35e[R"US S 9n U S:d S U S 35eg s snf)z;Test that `bounded_rand_int` follows a uniform distribution*r>r)locscaler g?zNull hypothesis rejected: generated random numbers are not uniform. Details: the (meta) p-value of the test of uniform distribution of p-values is z which is not > 0.05r)qzlNull hypothesis rejected: generated random numbers are not uniform. Details: lower 10th quantile p-value of z not > 0.05.N) rruniformrGrkstestcdfappendpvaluer/ percentile) range_n_ptsn_iterks_pvals uniform_distrHsampleresuniform_p_vals_dist res_pvalsmin_10pct_pvals r$test_newrand_bounded_rand_intrjgs " FH==Qf5L 6]9>uFA'/Fll6#3#34 #  --AQ7 X'>'>?I   d " $++,,@ B "]]8r2N D  33A2B, P -GsDr`c[R"[5 [U5 SSS5 g!,(df  g=f)zETest that `bounded_rand_int_wrap` is defined for unsigned 32bits intsN)r9r:rQr)r`s r$$test_newrand_bounded_rand_int_limitsrls$ } %f% & % %rS)Tg?) numpyr/r9scipyrsklearn.linear_modelr sklearn.svmrsklearn.svm._boundsrsklearn.svm._newrandrrsklearn.utils.fixesr rrrmarkfilterwarnings parametrizearrayr%rr<_MAX_UNSIGNED_INTrIrOrRrjrlr@r&r$rys 3!(E. 7QFQFQF + O"(((CD/5!9:]M$BC*^_,MN 3OD;E 3Y6 9)G6G5K+LM!N!"&7!&;!<=> ,=u+Ey*QR$S$NB(9A(=#>?&@&r&