o `^hp@svddlZddlZddlmZddlmZddlmZddl m Z ddl m Z m Z ddlmZddgdd gd d gd d ggZgd Zgd Zejd eejgejd ddgejdddgejdddgddZd1ddZddZdZdd Zejd!d"ed#fgd$d%Zejd&ded gd'd(Zejd)ed*fd+gd,d-Zejd.ded gd/d0ZdS)2N)stats)LogisticRegression) LinearSVC)l1_min_c)bounded_rand_int_wrap set_seed_wrap)CSR_CONTAINERS)rr r r )r rr X_containerloss squared_hingelogY_label two-classes multi-classintercept_label no-intercept fit-interceptc CsNttd}ddidddd}|t}||}||}t|||fi|dS)N)rr fit_interceptFT )rintercept_scaling)rr)Y1Y2dense_Xcheck_l1_min_c) r r rrYs interceptsXYintercept_paramsr"[/home/air/shanriGPT/back/venv/lib/python3.10/site-packages/sklearn/svm/tests/test_bounds.py test_l1_min_cs r$T?cCst|||||d}tdddtddddd|}||_||_||_|||t|j d k s4Jt|j d k s@J|d |_|||t|j d k sat|j d k scJdSdS) N)r rrl1 liblinear)penaltysolverrF)r r(dual)rrrg)\(?) rrrrrCfitnpasarraycoef_all intercept_any)ryr rrmin_cclfr"r"r#r"s*    4rcCsRddgddgg}ddg}ttt||WddS1s"wYdS)Nrr )pytestraises ValueErrorr)rr3r"r"r#test_ill_posed_min_c=s   "r9lcsFddtdDtddDsJtfddDr!JdS)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. cSsg|]}tdqS)dr.0_r"r"r# Nz(test_newrand_default..rcss(|]}d|ko dknVqdS)rr:Nr"r=xr"r"r# Os&z'test_newrand_default..c3s|] }|dkVqdS)rNr"rA generatedr"r#rCPsN)ranger0r"r"rDr#test_newrand_defaultGsrGzseed, expected)r6 cCs t|td}||ksJdS)z3Test that `set_seed` produces deterministic resultsr:N)rr)seedexpectedrEr"r"r#test_newrand_set_seedSsrLrJcC8tt t|WddS1swYdS)z=Test that `set_seed_wrap` is defined for unsigned 32bits intsN)r6r7 OverflowErrorr)rJr"r"r#test_newrand_set_seed_overflow[  "rOz range_, n_ptsi')r:c stdd}g}tjdd}t|D]}fddt|D}t||j}||jqtjddd}t||j} | jdksJJd | jd tj |d d } | dks]Jd | ddS)z;Test that `bounded_rand_int` follows a uniform distribution*r:r)locscalecsg|]}tqSr"r;r<range_r"r#r?nr@z1test_newrand_bounded_rand_int..r 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) rruniformrFkstestcdfappendpvaluer- percentile) rVn_ptsn_iterks_pvals uniform_distr>sampleresuniform_p_vals_dist res_pvalsmin_10pct_pvalr"rUr#test_newrand_bounded_rand_intbs*   rgrVcCrM)zETest that `bounded_rand_int_wrap` is defined for unsigned 32bits intsN)r6r7rNrrUr"r"r#$test_newrand_bounded_rand_int_limitsrPrh)Tr%)numpyr-r6scipyrsklearn.linear_modelr sklearn.svmrsklearn.svm._boundsrsklearn.svm._newrandrrsklearn.utils.fixesrrrrmark parametrizearrayr$rr9_MAX_UNSIGNED_INTrGrLrOrgrhr"r"r"r#s8         '