qtj. dZddlZddlZddlZddlmZddlmZddl m Z ddl m Z ddl mZmZmZddl mZdd lmZdd lmZmZmZd Zejejdd d jZejgdjZejee dke!Z"ee Z#ej$e"j%e!Z&de&e#dk<de&e#dke#dkz<de&e#dk<eddZ'ede'eddeddeddzgZ(de(DZ)ej*+de(dZ,dZ-ej*+de)dZ.ej*+de(d Z/ej*+de(d!Z0ej*+de)d"Z1ej*2e3d#$ej*+de)ej*+d%ej4d&d'd(d)Z5d*Z6ej*+de)d+Z7ej*+de(d,Z8ej*+de(d-Z9d.Z:ej*+d/dedie;d0fgd1Zd4Z?dS)5z+Testing for Gaussian process classificationN) approx_fprime)clone)ConvergenceWarning)GaussianProcessClassifier)RBFCompoundKernel WhiteKernel)ConstantKernel) MiniSeqKernel)assert_allcloseassert_almost_equalassert_array_equalc*tj|S)N)npsin)xs e/var/www/html/CA-Chatbot/venv/lib/python3.11/site-packages/sklearn/gaussian_process/tests/test_gpc.pyfrs 6!99 )@g@g@g@g@dtypegffffffֿgffffff??fixed length_scalelength_scale_boundsg?)r )MbP?@@g{Gz?Y@c(g|]}|tk |S) fixed_kernel).0kernels r r+4s"LLLV|5K5KV5K5K5Krr*ct|tt}t |t|tdddfdkdS)Nr*r?)rfitXyrpredict predict_probar*gpcs rtest_predict_consistentr67sd $6 2 2 2 6 6q! < sA $$$%%A g > > >F #6 2 2 2 6 6q! < z$test_lml_gradient..{sG## n0M0M# ######rr-T eval_gradientg& .>c0|dS)NF)rC)rEgprs rz#test_lml_gradient..sc11%??r)epsilonrRd)rtolatolr') rnext get_params set_paramsrr/r0r1rCrErcopyr )r*r length_scale_param_name_rWrhlml_gradient_approxrfs @rtest_lml_gradientrsqs6]]F"##**,,###F@@0,?@@@ $6 2 2 2 6 6q! < X$$$FwH %a &!5+    #a)) (()9::X 4 4 888888rcfd}t||}|tt||jj||jksJdS)Nc ~tj }|||d}}tdD]{}tj|tjd|dddftjd|dddf}||d}||kr||}}|||fS)NFrcrrr)rrzr{r atleast_1duniformmaximumminimum) obj_func initial_thetarUr theta_optfunc_minrqrErrs r optimizerz(test_custom_optimizer..optimizersi##$677  H]% 8 8 8 r / /AM BJr6!!!Q$<88"*QqqqRSt :U:UVVEe444A8||&+Q8 (""r)r*r)rr/r0y_mcrCrDrE)r*rrr5s ` rtest_custom_optimizerrs # # # # # $6Y G G GCGGAt  & &    $ $V\ 2 2 3 3 3 3 3 3rcZt|}|tt|t }t |dd|t }ttj |d|dS)Nr-r) rr/r0rr3X2r r}r2rrargmax)r*r5y_proby_preds rtest_multi_classrs $6 2 2 2CGGAt   r " "F 1 q))) [[__Fry++V44444rcPt|}|ttt|d}|tt|t }|t }t ||dS)Nr-r)r*n_jobs)rr/r0rr3rr )r*r5gpc_2ry_prob_2s rtest_multi_class_n_jobsrs $6 2 2 2CGGAt %VA > > >E IIa   r " "F""2&&H)))))rctddg}t|}d}tjt|5|t tdddn #1swxYwYtddgtdd gz}t|}tj d 5}tj d |t tt|d ksJt|djtsJ|djjddksJt|djtsJ|djjddksJ dddn #1swxYwYt#jt d }tddgddg}t|}tj d 5}tj d ||tt|d ksJt|djtsJ|djjddksJt|djtsJ|djjddksJ ddddS#1swxYwYdS)Ngh㈵>r")r!r-zThe optimal value found for dimension 0 of parameter length_scale is close to the specified upper bound 0.001. Increasing the bound and calling fit again may find a better value.match)noise_level_boundsr#gj@T)recordalwaysrrzThe optimal value found for dimension 0 of parameter k1__noise_level is close to the specified upper bound 0.001. Increasing the bound and calling fit again may find a better value.rzThe optimal value found for dimension 0 of parameter k2__length_scale is close to the specified lower bound 1000.0. Decreasing the bound and calling fit again may find a better value.rrg$@r%rzThe optimal value found for dimension 0 of parameter length_scale is close to the specified upper bound 100.0. Increasing the bound and calling fit again may find a better value.zThe optimal value found for dimension 1 of parameter length_scale is close to the specified upper bound 100.0. Increasing the bound and calling fit again may find a better value.)rrpytestwarnsrr/r0r1r warningscatch_warnings simplefilterlen issubclasscategorymessageargsrtile) r*r5warning_message kernel_sumgpc_sumrX_tile kernel_dimsgpc_dimss rtest_warning_boundsrs dD\ 2 2 2F #6 2 2 2C  ( @ @ @ 1 t === #JAAAJ(z:::G   - - - h''' Aq6{{a&),.@AAAAA 1I  "1 %*1 1 1 1 1&),.@AAAAA 1I  "1 %*1 1 1 1 1 1%               4WQ]]FC:C:NNNK( <<Checks that the latent mean and variance have the right shape.r-rN)rr/r0r1latent_mean_and_variancerM)r*r5 latent_meanlatent_variances r'test_gpc_latent_mean_and_variance_shaper3s} $6 2 2 2CGGAqMMM$'#?#?#B#B K   - - - -  QWQZM 1 1 1 1 1 1rctt}|ttt jtd5|tddddS#1swxYwYdS)rr-zdReturning the mean and variance of the latent function f is only supported for binary classificationrN) rrr/r0rrrY ValueErrorr)r5s rAtest_gpc_latent_mean_and_variance_complain_on_more_than_2_classesr?s #355 1 1 1CGGAt 6   (( $$Q''' ((((((((((((((((((sBBBcgd}tjgd}td}t|||}||dS)Nr8r<rr=r-)rr?r rr/rr@s r9test_latent_mean_and_variance_works_on_structured_kernelsrMsmA $$$%%A g > > >F #6 2 2 2 6 6q! < rsC11  ((((((111111>>>>>> ONNNNNBM+"+aR(())+R],,,--/ BHQQqTTZZ\\A S)))QqTTZZ\\rxs###R%Z$%bEkb4i !R$YsAAA CSCSk:::Ac;##3KPPPP   ML'LLL7++JJ,+J JJJ#455657++,+7++;;,+;#455  65   F#455RB)?)?@@VVA@65  V*.#4553365347++ 5 5,+ 57++ * *,+ *F F F R!~~a(( )  /     7++22,+2 ( ( ($$$$$r