U Ov f@sddlZddlZddlmZddlmZddlmZddl m Z ddl m Z ddl mZmZddgdd gd d gd d ggZeeZdd d d gZd d ddgZejd d d gejdddgejdddgejdddgddZd2ddZddZdZd d!Zejd"d#ed$fgd%d&Zejd'ded gd(d)Zejd*ed+fd,gd-d.Zejd/ded gd0d1ZdS)3N)sparse)stats)LogisticRegression) LinearSVC)l1_min_c)bounded_rand_int_wrap set_seed_wraploss squared_hingelogX_labelrdenseY_label two-classes multi-classintercept_label no-intercept fit-interceptc CsTttd}ttd}ddidddd}||}||}||} t|||f| dS) N)rr)rr fit_interceptFT )rintercept_scaling)rr)sparse_Xdense_XY1Y2check_l1_min_c) r rrrZXsZYsZ interceptsXYZintercept_paramsr!A/tmp/pip-unpacked-wheel-qu3nn_q2/sklearn/svm/tests/test_bounds.py test_l1_min_cs  r#T?cCst|||||d}tdddtddddd|}||_||_||_|||t|j d k sht t|j d k st |d |_|||t|j d k st|j d k st dS) N)r rrl1Z liblinear)penaltyZsolverr F)r r&Zdual)rr rg)\(?)rrrrrCZfitnpZasarrayZcoef_allAssertionErrorZ intercept_any)ryr rrZmin_cZclfr!r!r"r$s*     rc Cs<ddgddgg}ddg}ttt||W5QRXdS)Nrr )pytestraises ValueErrorr)rr,r!r!r"test_ill_posed_min_c?s r0lcsFddtdDtddDs(ttfddDrBtdS)aTest that bounded_rand_int_wrap without seeding respects the range Note this test should pass either if executed alone, or in conjunctions with other tests that call set_seed explicit in any order: it checks invariants on the RNG instead of specific values. cSsg|] }tdqS)dr.0_r!r!r" Psz(test_newrand_default..rcss&|]}d|kodknVqdS)rr1Nr!r4xr!r!r" Qsz'test_newrand_default..c3s|]}|dkVqdS)rNr!r7 generatedr!r"r9RsN)ranger)r*r!r!r:r"test_newrand_defaultIsr=zseed, expected)r6 cCs t|td}||kstdS)z3Test that `set_seed` produces deterministic resultsr1N)rrr*)seedexpectedr;r!r!r"test_newrand_set_seedUsrBr@c Cs"ttt|W5QRXdS)z=Test that `set_seed_wrap` is defined for unsigned 32bits intsN)r-r. OverflowErrorr)r@r!r!r"test_newrand_set_seed_overflow]s rDz range_, n_ptsi')r1c stdd}g}tjdd}t|D]4}fddt|D}t||j}||jq&tjddd}t||j} | jdkstd | jd t j |d d } | dkstd | ddS)z;Test that `bounded_rand_int` follows a uniform distribution*r1r)locZscalecsg|] }tqSr!r2r3range_r!r"r6psz1test_newrand_bounded_rand_int..r g?zNull hypothesis rejected: generated random numbers are not uniform. Details: the (meta) p-value of the test of uniform distribution of p-values is z which is not > 0.05r)qzlNull hypothesis rejected: generated random numbers are not uniform. Details: lower 10th quantile p-value of z not > 0.05.N) rruniformr<ZkstestZcdfappendZpvaluer*r(Z percentile) rIZn_ptsZn_iterZks_pvalsZ uniform_distr5sampleresZuniform_p_vals_distZ res_pvalsZmin_10pct_pvalr!rHr"test_newrand_bounded_rand_intds"     rOrIc Cs"ttt|W5QRXdS)zETest that `bounded_rand_int_wrap` is defined for unsigned 32bits intsN)r-r.rCrrHr!r!r"$test_newrand_bounded_rand_int_limitss rP)Tr$) Znumpyr(r-ZscipyrsprZsklearn.linear_modelrZ sklearn.svmrZsklearn.svm._boundsrZsklearn.svm._newrandrrrZ csr_matrixrrrmarkZ parametrizer#rr0Z_MAX_UNSIGNED_INTr=rBrDrOrPr!r!r!r"s8             '