i+dZddlZddlZddlZddlmZddlmZddl m Z ddl m Z m Z mZddl mZddlmZdd lmZmZd Zej.ej0dd d j2Zej.gd j2Zej8eej;dkDeZeej;Z ejBejDeZ#de#e dk<de#e dk\e dkz<de#e dkD<e ddZ$e de$e ddedde ddzgZ%e%Dcgc] }|e$k7s | c}Z&ejNjQde%dZ)dZ*ejNjQde&dZ+ejNjQde%dZ,ejNjQde%dZ-ejNjQde&d Z.ejNjQde%d!Z/d"Z0ejNjQde&d#Z1ejNjQde%d$Z2ejNjQde%d%Z3d&Z4ejNjQd'de die5d(fgd)Z6ejNjQde%d*Z7d+Z8d,Z9ycc}w)-z+Testing for Gaussian process classificationN) approx_fprime)ConvergenceWarning)GaussianProcessClassifier)RBFCompoundKernel WhiteKernel)ConstantKernel) MiniSeqKernel)assert_almost_equalassert_array_equalc,tj|S)N)npsin)xs /var/www/ITT-ServiceAPI-Services/ITT-Document-Scan/mrzscanner/mrzenv/lib/python3.12/site-packages/sklearn/gaussian_process/tests/test_gpc.pyfrs 66!9 )@g@g@g@g@dtypegffffffֿgffffff??fixed length_scalelength_scale_boundsg?)r)MbP?@@g{Gz?Y@kernelct|jtt}t |j t|j tdddfdk\y)Nr$r?)rfitXyr predict predict_probar$gpcs rtest_predict_consistentr/2sF $6 2 6 6q! F #6 2 6 6q! r-s rtest_lml_precomputedrBKsI $6 2 6 6q! shapefloat64r<r )r$r. input_thetas rtest_lml_without_cloning_kernelrITsh $6 2 6 6q! rallabsbounds)r$r.lml lml_gradients rtest_converged_to_local_maximumrQ^s $6 2 6 6q! r.s rz#test_lml_gradient..ssC$?$?u$Mrg|=)rr(r)r*r<r>rr )r$rOrPlml_gradient_approxr.s @rtest_lml_gradientrWls] $6 2 6 6q! finfofloat32eps) global_random_seed n_samples n_featuresrngr)r*r$last_lmlr\gprOs rtest_random_startsrnys/"Iz ))   2 3C )Z(1,q0A A A!2!2!2!: :a?A sK 3Vj({mj>X$FwH %a &!5+  #a) (()9)9:X 4 8 88888rcfd}t||}|jtt|j |j j |j |j k\sJy)Nc `tjj }|||d}}tdD]q}tj|j tj d|dddftjd|dddf}||d}||ksn||}}s||fS)NF) eval_gradientrrr)rr^r_rd atleast_1duniformmaximumminimum) obj_func initial_thetarNrk theta_optfunc_min_r>rrhs r optimizerz(test_custom_optimizer..optimizersii##$67  ]% 8 r /AMM BJJr6!Q$<8"**QqRSt :UVEe4A8|&+Q8  /(""r)r$r|)rr(r)y_mcr<r=r>)r$rhr|r.s ` rtest_custom_optimizerr~s` # $6Y GCGGAt  & &   $ $V\\ 2 33 3rct|}|jtt|j t }t |jdd|jt }ttj|d|y)Nr&r) rr(r)r}r,X2r rar+r rargmax)r$r.y_proby_preds rtest_multi_classrs` $6 2CGGAt   r "F 1 q) [[_Fryy+V4rc t|}|jttt|d}|jtt|j t }|j t }t ||y)Nr&r)r$n_jobs)rr(r)r}r,rr )r$r.gpc_2ry_prob_2s rtest_multi_class_n_jobsrs` $6 2CGGAt %VA >E IIa   r "F""2&H)rc8tddg}t|}d}tjt|5|j t tdddtddgtdd gz}t|}tjd 5}tjd |j t tt|d k(sJt|djtsJ|djj ddk(sJt|djtsJ|djj ddk(sJ dddt#j$t d }tddgddg}t|}tjd 5}tjd |j |tt|d k(sJt|djtsJ|djj ddk(sJt|djtsJ|djj ddk(sJ dddy#1swY%xYw#1swY*xYw#1swYyxYw)Ngh㈵>r )rr&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$@r#rzThe optimal value found for dimension 0 of parameter length_scale is close to the specified upper bound 100.0. Increasing the bound and calling fit again may find a better value.zThe optimal value found for dimension 1 of parameter length_scale is close to the specified upper bound 100.0. Increasing the bound and calling fit again may find a better value.)rrpytestwarnsrr(r)r*rwarningscatch_warnings simplefilterlen issubclasscategorymessageargsrtile) r$r.warning_message kernel_sumgpc_sumrX_tile kernel_dimsgpc_dimss rtest_warning_boundsrs dD\ 2F #6 2C  ( @ 1 t = #JAJ(z:G   - h' Aq6{a&),,.@AAA 1I   " "1 %*1 1  1&),,.@AAA 1I   " "1 %*1 1  1% 4WWQ]FC:C:NK( Checks that the latent mean and variance have the right shape.r&rN)rr(r)r*latent_mean_and_variancerF)r$r. latent_meanlatent_variances r'test_gpc_latent_mean_and_variance_shaper sn $6 2CGGAqM$'#?#?#B K    -- -  QWWQZM 11 1rctt}|jttt j td5|jtdddy#1swYyxYw)rr&zdReturning the mean and variance of the latent function f is only supported for binary classificationrN) rrr(r)r}rr ValueErrorr)r.s rAtest_gpc_latent_mean_and_variance_complain_on_more_than_2_classesr,sW #35 1CGGAt 6 ( $$Q' (((s A))A2cgd}tjgd}td}t|j ||}|j |y)Nr1r5rr6r&)rr8r rr(rr9s r9test_latent_mean_and_variance_works_on_structured_kernelsr:sEA $%A g >F #6 2 6 6q! rs(1  (1> OJBMM+"++aR()++R]],-// BHHQqTZZ\A S)qTZZ\rxxs#R%Z$%bEkb4i !R$YA SSk:c;#3KPP   +2LV|5KVL7+J,J J#4567+,7+;,;#45 6 7+ >, >.#4536347+ 5, 57+ *, *F R!~a( )  /   7+2,2 ($WMs K$ K$