Ë
    ÷Q(h°t ã                   ó0  — d Z ddlZddlZddlZddlZddlmZmZ ddlm	Z	 ddl
mZ ddlmZmZ ddlmZ ddlZddlZddlmZmZmZ dd	lmZ dd
lmZmZmZ ddlmZ ddl m!Z! ddl"m#Z#m$Z$m%Z% ddl&m'Z' ddl(m)Z) ddl*m+Z+ ddl,m-Z- ddl.m/Z/ ddl0m1Z1 ddl2m3Z3 ddl4m5Z5m6Z6m7Z7m8Z8 ddl9m:Z:m;Z;m<Z<m=Z=m>Z>m?Z?m@Z@ ddlAmBZB ddlCmDZDmEZEmFZFmGZGmHZHmIZImJZJmKZKmLZLmMZMmNZNmOZOmPZP ddlQmRZRmSZS ddlTmUZU ddlVmWZW ddlXmYZYmZZZm[Z[ ddl\m]Z]m^Z^ ddl_m`Z`maZambZbmcZc ddldmeZemfZf dd lgmhZhmiZimjZj dd!lkmlZlmmZm dd"lnmoZo dd#lpmqZqmrZr dd$lsmtZtmuZumvZvmwZwmxZxmyZymzZzm{Z{ dd%l|m}Z} dd&l~mZ  G d'„ d(ee«      Z€ G d)„ d*ef«      Z� e�j                  d+d+gd,d+gd-d-gd.d-gg«      Zƒ e�j                  g d/¢«      Z„d0„ Z…e�j                  �j                  d1eK e	eLd2¬3«      g«      e�j                  �j                  d4deˆd5fd6dgidgeˆd7fd6dieˆd8fg«      d9„ «       «       Z‰d:„ ZŠd;„ Z‹d<„ ZŒe�j                  �j                  d=eDeMg«      d>„ «       Z�d?„ ZŽd@„ Z�dA„ Z�dB„ Z‘dC„ Z’dD„ Z“dE„ Z”dF„ Z•dG„ Z–dH„ Z—e�j                  �j                  dIe}«      dJ„ «       Z˜e�j                  �j                  dIe}«      dK„ «       Z™dL„ ZšdM„ Z› G dN„ dOe«      Zœe�j                  �j;                  dP«      dQ„ «       ZždR„ ZŸdS„ Z e�j                  �j                  dTd+d.g«      e�j                  �j                  dUeMeDg«      dV„ «       «       Z¡dW„ Z¢dX„ Z£dY„ Z¤dZ„ Z¥d[„ Z¦d\„ Z§d]„ Z¨d^„ Z©d_„ ZªdÌd`„Z«da„ Z¬db„ Z­e�j                  �j                  dceDddded-d2giifeMded-d2gid.dfœfg«      dg„ «       Z®dh„ Z¯di„ Z°dj„ Z±dk„ Z²e�j                  �j                  dU eM el«       dldmd2gi¬n«       eD el«       dldmd2gi¬o«      g«      dp„ «       Z³e�j                  �j                  dU eM e[dq¬r«      dsdmd2gidt¬u«       eD e[dq¬r«      dsdmd2gidt¬v«      g«      dw„ «       Z´dx„ Zµdy„ Z¶e�j                  �j;                  dz«      d{„ «       Z·d|„ Z¸d}„ Z¹d~„ Zºd„ Z»d€„ Z¼ G d�„ d‚e«      Z½dƒ„ Z¾d„„ Z¿d…„ ZÀd†„ ZÁd‡„ ZÂdˆ„ ZÃd‰„ ZÄdŠ„ ZÅd‹„ ZÆdŒ„ ZÇd�„ ZÈdŽ„ ZÉe�j                  �j                  d�d�dqg«      e�j                  �j                  dceDdddlg d‘¢iifeMdlg d‘¢id’dfœfg«      d“„ «       «       ZÊd”„ ZËd•„ ZÌd–„ ZÍd—„ ZÎd˜„ ZÏd™„ ZÐdš„ ZÑe�j                  �j                  d›dqd�g«      dœ„ «       ZÒd�„ ZÓdž„ ZÔe�j                  �j                  dŸeDd d¡d¢gifeMd  ed-d£«      ifg«      d¤„ «       ZÕe�j                  �j                  dŸeDd¥d¡d¢gifeMd¥ ed¢d¡«      ifg«      d¦„ «       ZÖe�j                  �j;                  d§«      e�j                  �j                  d=eDeMg«      e�j                  �j                  d¨euetg«      d©„ «       «       «       Z×e�j                  �j                  d�dqd�g«      dª„ «       ZØe�j                  �j                  dŸeDddfeMd«feGddfg«      d¬„ «       ZÙd­„ ZÚd®„ ZÛe�j                  �j                  d=eDeMg«      d¯„ «       ZÜe�j                  �j                  dŸeDddfeMd«fg«       edq¬°«      d±„ «       «       ZÝe�j                  �j                  dŸeDddfeMd«feGddfg«      d²„ «       ZÞd³„ Zßd´„ Zàdµ„ Záe�j                  �j                  d¶ eo«       «      e�j                  �j                  d=eDeMg«      d·„ «       «       Zâ e`«       Zã ea«       Zäe�jÊ                  �jÍ                   e�jÎ                  d.«      dqeè¬¸«      Zéd¹eéd<   dºeéd-<   e�j                  �j                  d» e�jÔ                  d6d-id6d.igd¼e�jÊ                  �jÍ                   e�j                  d-d.g«      «      fgd½¬¾«       e�jÔ                  d-d£d¿œd.d’d¿œd6d£igd¼e�jÊ                  �jÍ                   e�j                  g dÀ¢«      «      fdÁe�jÊ                  �jÍ                   e�j                  g dÂ¢«      g dÃ¢¬Ä«      fgdÅ¬¾«       e�jÔ                  d6d-gd.gd£ggid6d-gd.ggigd¼e�jÊ                  �jÍ                  d-gd.gd£ggd-gd.gggeè¬Æ«      fgdÇ¬¾«       e�jÔ                  d6d¹id6dºigd¼eéfgdÈ¬¾«       e�jÔ                  d6eäid6eãigd¼e�jÊ                  �jÍ                  eäeãgeè¬Æ«      fgdÉ¬¾«      g«      dÊ„ «       ZëdË„ Zìy)ÍzTest the search moduleé    N)ÚIterableÚSized)Úpartial)ÚStringIO)ÚchainÚproduct)ÚGeneratorType)Ú	bernoulliÚexponÚuniform)Úconfig_context)ÚBaseEstimatorÚClassifierMixinÚis_classifier)ÚKMeans)ÚColumnTransformer)Ú
make_blobsÚmake_classificationÚmake_multilabel_classification)ÚLinearDiscriminantAnalysis)ÚDummyClassifier)ÚHistGradientBoostingClassifier)ÚFitFailedWarning)Úenable_halving_search_cv)ÚTfidfVectorizer)ÚSimpleImputer)ÚLinearRegressionÚLogisticRegressionÚRidgeÚSGDClassifier)Úaccuracy_scoreÚconfusion_matrixÚf1_scoreÚmake_scorerÚr2_scoreÚrecall_scoreÚroc_auc_score)Úeuclidean_distances)ÚGridSearchCVÚ
GroupKFoldÚGroupShuffleSplitÚHalvingGridSearchCVÚKFoldÚLeaveOneGroupOutÚLeavePGroupsOutÚParameterGridÚParameterSamplerÚRandomizedSearchCVÚStratifiedKFoldÚStratifiedShuffleSplitÚtrain_test_split)ÚBaseSearchCVÚ"_yield_masked_array_for_each_param)ÚOneTimeSplitter)ÚComplementNB)ÚKernelDensityÚKNeighborsClassifierÚLocalOutlierFactor)ÚPipelineÚmake_pipeline)ÚOneHotEncoderÚOrdinalEncoderÚSplineTransformerÚStandardScaler)ÚSVCÚ	LinearSVC)ÚConsumingScorerÚ	_RegistryÚcheck_recorded_metadata)ÚDecisionTreeClassifierÚDecisionTreeRegressor)Ú)yield_namespace_device_dtype_combinations)ÚCheckingClassifierÚMockDataFrame)ÚMinimalClassifierÚMinimalRegressorÚMinimalTransformerÚ_array_api_for_testsÚassert_allcloseÚassert_almost_equalÚassert_array_almost_equalÚassert_array_equal)ÚCSR_CONTAINERS)Ú_num_samplesc                   óR   — e Zd ZdZdd„Zd„ Zd„ Zd„ Zd„ ZeZ	eZ
eZdd„Zdd	„Zd
„ Zy)ÚMockClassifierz8Dummy classifier to test the parameter search algorithmsc                 ó   — || _         y ©N©Ú	foo_param)Úselfr\   s     úg/var/www/skyplay_api_hub/venv/lib/python3.12/site-packages/sklearn/model_selection/tests/test_search.pyÚ__init__zMockClassifier.__init__j   ó	   € Ø"ˆ�ó    c                 ól   — t        |«      t        |«      k(  sJ ‚t        j                  |«      | _        | S rZ   )ÚlenÚnpÚuniqueÚclasses_©r]   ÚXÚYs      r^   ÚfitzMockClassifier.fitm   s,   € Ü�1‹vœ˜Q›ÒÐÐÜŸ	™	 !›ˆŒØˆra   c                 ó    — |j                   d   S ©Nr   ©Úshape)r]   ÚTs     r^   ÚpredictzMockClassifier.predictr   s   € Ø�w‰w�q‰zÐra   c                 ó    — || j                   z   S rZ   r[   ©r]   rh   s     r^   Ú	transformzMockClassifier.transformu   ó   € Ø�4—>‘>Ñ!Ð!ra   c                 ó    — || j                   z
  S rZ   r[   rr   s     r^   Úinverse_transformz MockClassifier.inverse_transformx   rt   ra   Nc                 ó0   — | j                   dkD  rd}|S d}|S )Né   ç      ð?ç        r[   )r]   rh   ri   Úscores       r^   r{   zMockClassifier.score   s&   € Ø�>‰>˜AÒØˆEð ˆð ˆEØˆra   c                 ó   — d| j                   iS ©Nr\   r[   )r]   Údeeps     r^   Ú
get_paramszMockClassifier.get_params†   s   € Ø˜TŸ^™^Ð,Ð,ra   c                 ó   — |d   | _         | S r}   r[   )r]   Úparamss     r^   Ú
set_paramszMockClassifier.set_params‰   s   € Ø Ñ,ˆŒØˆra   )r   ©NN)F)Ú__name__Ú
__module__Ú__qualname__Ú__doc__r_   rj   rp   rs   rv   Úpredict_probaÚpredict_log_probaÚdecision_functionr{   r   r‚   © ra   r^   rX   rX   g   s@   „ ÙBó#òò
ò"ò"ð €MØÐØÐóó-óra   rX   c                   ó    — e Zd ZdZed„ «       Zy)ÚLinearSVCNoScorez0A LinearSVC classifier that has no score method.c                 ó   — t         ‚rZ   )ÚAttributeError©r]   s    r^   r{   zLinearSVCNoScore.score‘   s   € äÐra   N)r„   r…   r†   r‡   Úpropertyr{   r‹   ra   r^   r�   r�   Ž   s   „ Ù:àñó ñra   r�   éÿÿÿÿéþÿÿÿrx   é   )rx   rx   r”   r”   c                 ót   — t        | «      t        t        | «      «      D �cg c]  }| |   ‘Œ	 c}k(  sJ ‚y c c}w rZ   )ÚlistÚrangerc   )ÚgridÚis     r^   Úassert_grid_iter_equals_getitemrš   š   s/   € Ü�‹:¬5´°T³Ó+;Ö< a˜$˜q›'Ò<Ò<Ð<Ñ<ùÒ<s   ¡5Úklassé
   ©Ún_iterz input, error_type, error_messagez1Parameter .* a dict or a list, got: 0 of type intÚfooz Parameter .* is not a dict \(0\)z}Parameter (grid|distribution) for parameter 'foo' (is not|needs to be) (a list or a numpy array|iterable or a distribution).*c                 ól   — t        j                  ||¬«      5   | |«       d d d «       y # 1 sw Y   y xY w)N©Úmatch)ÚpytestÚraises)r›   ÚinputÚ
error_typeÚerror_messages       r^   Útest_validate_parameter_inputr¨   ž   s.   € ô 
�‰�z¨Ô	7ñ ÙˆeŒ÷÷ ñ ús   ˜	*ª3c            
      óü  — dg d¢i} t        | «      }t        |t        «      sJ ‚t        |t        «      sJ ‚t	        |«      dk(  sJ ‚t        |«       ddgg d¢dœ}t        |«      }t	        |«      dk(  sJ ‚t        d«      D ];  }t        d	„ |D «       «      }|t        d
„ t        |d   |d   «      D «       «      k(  rŒ;J ‚ t        |«       t        i «      }t	        |«      dk(  sJ ‚t        |«      i gk(  sJ ‚t        |«       t        j                  t        «      5  |d    d d d «       t        dddgii ddgig«      }t	        |«      dk(  sJ ‚t        |«      ddiddii ddigk(  sJ ‚t        |«       y # 1 sw Y   ŒTxY w)NrŸ   ©rx   r”   é   r«   é   r”   )ÚhamÚspamÚeggs©rŸ   Úbaré   c           	   3   ól   K  — | ],  }t        t        t        |j                  «       «      Ž «      –— Œ. y ­wrZ   )Útupler   ÚsortedÚitems)Ú.0Úps     r^   ú	<genexpr>z&test_parameter_grid.<locals>.<genexpr>Á   s%   è ø€ ÒG¸A”Uœ5¤6¨!¯'©'«)Ó#4Ð6×7ÑGùs   ‚24c              3   ó.   K  — | ]  \  }}d |d|f–— Œ y­w)r±   rŸ   Nr‹   )r·   ÚxÚys      r^   r¹   z&test_parameter_grid.<locals>.<genexpr>Â   s"   è ø€ ò 
Ù%) Q¨ˆU�A�u˜aÔ ñ
ùs   ‚r±   rx   ÚCrœ   ç      à?)r0   Ú
isinstancer   r   rc   rš   r—   Úsetr   r–   r£   r¤   Ú
IndexError)Úparams1Úgrid1Úparams2Úgrid2r™   ÚpointsÚemptyÚ	has_emptys           r^   Útest_parameter_gridrÉ   ±   s�  € à’iÐ €GÜ˜'Ó"€EÜ�eœXÔ&Ð&Ð&Ü�eœUÔ#Ð#Ð#Üˆu‹:˜Š?Ðˆ?Ü# EÔ*à˜!�fÒ%<Ñ=€GÜ˜'Ó"€EÜˆu‹:˜Š?Ðˆ?ô �1‹Xò 
ˆäÑGÀÔGÓGˆØœñ 
Ü-4°W¸U±^ÀWÈUÁ^Ó-Tô
ó 
ó 
ð 	
ð 
ð
ô $ EÔ*ô ˜"Ó€EÜˆu‹:˜Š?Ðˆ?Ü�‹;˜2˜$ÒÐÐÜ# EÔ*Ü	�‰”zÓ	"ñ ØˆaŠ÷ô   a¨ W˜~¨r°C¸#¸°<Ð@ÓA€IÜˆy‹>˜QÒÐÐÜ�	‹?  Q˜x¨#¨r¨°B¸¸c¸
ÐCÒCÐCÐCÜ# IÕ.÷ð ús   ÄE2Å2E;c                  óž  — t        «       } t        | dg d¢idd¬«      }t        j                  }t	        «       t        _        |j                  t        t        «       |t        _        |j                  j                  dk(  sJ ‚t        |j                  d   j                  g d¢«       |j                  t        t        «       |j                  t        «       |j                  t        «       |j!                  t        «       d|_        t%        j&                  t(        «      5  |j                  t        t        «       d d d «       y # 1 sw Y   y xY w)Nr\   rª   r”   r«   ©ÚcvÚverboseÚparam_foo_paramÚsklearn)rX   r)   ÚsysÚstdoutr   rj   rh   r¼   Úbest_estimator_r\   rT   Úcv_results_Údatar{   rˆ   rŠ   rs   Úscoringr£   r¤   Ú
ValueError)ÚclfÚgrid_searchÚ
old_stdouts      r^   Útest_grid_searchrÚ   Õ   sñ   € ä
Ó
€CÜ˜s [²)Ð$<ÀÈAÔN€Kä—‘€JÜ“„C„JØ‡O�O”A”qÔØ„C„JØ×&Ñ&×0Ñ0°AÒ5Ð5Ð5ä�{×.Ñ.Ð/@ÑA×FÑFÊ	ÔRð ×Ñ”aœÔØ×ÑœaÔ Ø×!Ñ!¤!Ô$Ø×Ñœ!Ôð $€KÔÜ	�‰”zÓ	"ñ Ø�‰œœ1Ô÷÷ ñ ús   ÄEÅEc                  óþ  — t        dt        «       fg«      } dt        «       t        «       gi}t        | |d¬«      }|j	                  t
        t        «       |j                  d   }t        |d   t        «      sJ ‚t        |d   t        «      sJ ‚t        |d   d«      rJ ‚t        |d   d«      rJ ‚|d   |j                  usJ ‚|d   |j                  usJ ‚t        |d   d   d«      rJ ‚t        |d   d   d«      rJ ‚y )NÚ	regressorr”   ©rÌ   Úparam_regressorr   rx   Úcoef_)r=   r   r   r)   rj   rh   r¼   rÓ   r¿   ÚhasattrrÒ   )ÚpipeÚ
param_gridrØ   Úregressor_resultss       r^   Útest_grid_search_pipeline_stepsrä   î   s  € ä�kÔ#3Ó#5Ð6Ð7Ó8€DØÔ 0Ó 2´E³GÐ<Ð=€JÜ˜t Z°AÔ6€KØ‡O�O”A”qÔØ#×/Ñ/Ð0AÑBÐÜÐ'¨Ñ*Ô,<Ô=Ð=Ð=ÜÐ'¨Ñ*¬EÔ2Ð2Ð2ÜÐ(¨Ñ+¨WÔ5Ð5Ð5ÜÐ(¨Ñ+¨WÔ5Ð5Ð5Ø˜QÑ {×'BÑ'BÑBÐBÐBØ˜QÑ {×'BÑ'BÑBÐBÐBä�z +Ñ.¨qÑ1°7Ô;Ð;Ð;Ü�z +Ñ.¨qÑ1°7Ô;Ð;Ð;Ð;ra   ÚSearchCVc           	      óÌ  — t        j                  d«      j                  dd«      }t        j                  dgdz  dgdz  z   «      }t	        ddg¬«      } | |d	g d
¢idd¬«      }d}t        j                  t        |¬«      5  |j                  ||t        j                  d«      ¬«       d d d «       d}t        j                  t        |¬«      5  |j                  ||t        j                  d«      t        j                  d«      ¬«       d d d «       |j                  ||t        j                  d«      t        j                  d«      ¬«       y # 1 sw Y   Œ¦xY w# 1 sw Y   ŒQxY w)Néd   rœ   r   é   rx   r®   r¯   )Úexpected_fit_paramsr\   rª   r”   Úraise©rÌ   Úerror_scorez0Expected fit parameter\(s\) \['eggs'\] not seen.r¡   )r®   z)Fit parameter spam has length 1; expected)r®   r¯   )rd   ÚarangeÚreshapeÚarrayrK   r£   r¤   ÚAssertionErrorrj   ÚonesÚzeros)rå   rh   r¼   r×   ÚsearcherÚerr_msgs         r^   Útest_SearchCV_with_fit_paramsrõ      s  € ä
�	‰	�#‹×Ñ˜r 2Ó&€AÜ
�‰�!��q‘˜A˜3 ™7Ñ"Ó#€AÜ
°&¸&Ð1AÔ
B€CÙ˜˜kª9Ð5¸!ÈÔQ€Hð B€GÜ	�‰”~¨WÔ	5ñ -Ø�‰�Q˜¤§¡¨£ˆÔ,÷-ð :€GÜ	�‰”~¨WÔ	5ñ ?Ø�‰�Q˜¤§¡¨£
´·±¸"³ˆÔ>÷?à‡L�L��AœBŸG™G B›K¬b¯h©h°r«l€LÕ;÷-ð -ú÷?ð ?ús   Â(EÃ<EÅEÅE#c                  ó
  — t        d¬«      } t        dd¬«      \  }}g d¢}t        d¬«      }t        | d|id¬«      }|j	                  ||«       t        |d|id¬«      }|j	                  ||«       |j
                  |j
                  k(  sJ ‚|j                  ||«      |j                  ||«      k(  sJ ‚t        |d|i«      }t        j                  t        d	¬
«      5  |j	                  dgg«       d d d «       y # 1 sw Y   y xY w)Nr   ©Úrandom_stater”   ©rø   Úcenters©çš™™™™™¹?rx   rœ   r½   Úaccuracy©rÕ   z
no scoringr¡   rx   )
rD   r   r�   r)   rj   Úbest_params_r{   r£   r¤   Ú	TypeError)r×   rh   r¼   ÚCsÚclf_no_scorerØ   Úgrid_search_no_scores          r^   Útest_grid_search_no_scorer    sû   € ä
 Ô
#€CÜ 1¨aÔ0�D€A€qÚ	€BÜ#°Ô3€LÜ˜s S¨" I°zÔB€KØ‡O�O�A�qÔä'¨°s¸B°iÈÔTÐà×Ñ˜Q Ô"ð  ×,Ñ,°×0HÑ0HÒHÐHÐHà×Ñ˜Q Ó"Ð&:×&@Ñ&@ÀÀAÓ&FÒFÐFÐFô (¨°s¸B°iÓ@ÐÜ	�‰”y¨Ô	5ñ (Ø× Ñ  1 # Ô'÷(÷ (ñ (ús   ÃC9Ã9Dc                  ó4  — t        dddd¬«      \  } }t        d¬«      }ddgi}t        ||d ¬	«      j                  | |«      }t        ||d
¬	«      j                  | |«      }t        t	        «       |d¬	«      j                  | |«      }t        ||d¬	«      j                  | |«      }|j                  | |«      }|j                  | |«      }	|j                  | |«      }
|j                  | |«      }|dk  sJ ‚|	dk  sJ ‚||	k7  sJ ‚t        |	|«       t        ||
«       y )Nrç   r”   çš™™™™™É?r   ©Ú	n_samplesÚ	n_classesÚflip_yrø   r÷   r½   rü   rþ   rý   Úroc_aucry   )r   rD   r)   rj   r�   r{   rR   )rh   r¼   r×   r˜   Úsearch_no_scoringÚsearch_accuracyÚsearch_no_score_method_aucÚ
search_aucÚscore_no_scoringÚscore_accuracyÚscore_no_score_aucÚ	score_aucs               r^   Útest_grid_search_score_methodr  +  s.  € Ü¨¸À#ÐTUÔV�D€A€qÜ
 Ô
#€CØ�#�ˆ<€Dä$ S¨$¸Ô=×AÑAÀ!ÀQÓGÐÜ" 3¨°jÔA×EÑEÀaÈÓK€OÜ!-ÜÓ˜D¨)ô"ç	�cˆ!ˆQƒið ô ˜c 4°Ô;×?Ñ?ÀÀ1ÓE€Jð )×.Ñ.¨q°!Ó4ÐØ$×*Ñ*¨1¨aÓ0€NØ3×9Ñ9¸!¸QÓ?ÐØ× Ñ   AÓ&€Ið �sŠ?Ðˆ?Ø˜CÒÐÐØ˜Ò&Ð&Ð&ä˜Ð(8Ô9Ü˜	Ð#5Õ6ra   c                  óN  — t         j                  j                  d«      } t        ddd¬«      \  }}| j	                  ddd«      }t        d¬«      }ddgi}t        «       t        d«      t        d¬	«      t        «       g}d
}|D ]Z  }t        |||¬«      }	t        j                  t        |¬«      5  |	j                  ||«       d d d «       |	j                  |||¬«       Œ\ t        «       t!        «       g}
|
D ]"  }t        |||¬«      }	|	j                  ||«       Œ$ y # 1 sw Y   Œ[xY w)Nr   é   r”   )r  r	  rø   r«   r÷   r½   rx   ©Ún_splitsz*The 'groups' parameter should not be None.rÝ   r¡   )Úgroups)rd   ÚrandomÚRandomStater   ÚrandintrD   r.   r/   r*   r+   r)   r£   r¤   rÖ   rj   r3   r4   )Úrngrh   r¼   r  r×   r˜   Ú	group_cvsÚ	error_msgrÌ   ÚgsÚnon_group_cvss              r^   Útest_grid_search_groupsr"  G  s  € ô �)‰)×
Ñ
 Ó
"€Cä¨°qÀqÔI�D€A€qØ�[‰[˜˜A˜rÓ"€Fä
 Ô
#€CØ�!�ˆ:€Dô 	ÓÜ˜ÓÜ˜AÔÜÓð	€Ið =€IØò $ˆÜ˜#˜t¨Ô+ˆÜ�]‰]œ:¨YÔ7ñ 	Ø�F‰F�1�aŒL÷	à
�‰ˆq�!˜FˆÕ#ð	$ô %Ó&Ô(>Ó(@ÐA€MØò ˆÜ˜#˜t¨Ô+ˆà
�‰ˆq�!�ñ÷	ð 	ús   Â.DÄD$	c                  ón  — t        j                  d«      j                  dd«      } t        j                  dgdz  dgdz  z   «      }g d¢}t	        t        d¬«      d|i«      }|j                  | |«       t        |j                  j                  |j                  «       t	        t        «       d	d
dgi«      }|j                  | |«       t        |d«      rJ ‚t	        t        d¬«      d|i«      }t        |d«      rJ ‚t	        t        d¬«      d|id¬«      }|j                  | |«       t        |d«      rJ ‚y )Nrç   rœ   r   rè   rx   rû   r÷   r½   Úalphary   ç       @rf   F)Úrefit)rd   rí   rî   rï   r)   rD   rj   rT   rÒ   rf   r   rà   )rh   r¼   r  rØ   s       r^   Útest_classes__propertyr'  f  s  € ä
�	‰	�#‹×Ñ˜r 2Ó&€AÜ
�‰�!��q‘˜A˜3 ™7Ñ"Ó#€AÚ	€Bäœy°aÔ8¸3À¸)ÓD€KØ‡O�O�A�qÔÜ�{×2Ñ2×;Ñ;¸[×=QÑ=QÔRô œu›w¨°3¸°*Ð(=Ó>€KØ‡O�O�A�qÔÜ�{ JÔ/Ð/Ð/ô œy°aÔ8¸3À¸)ÓD€KÜ�{ JÔ/Ð/Ð/ô œy°aÔ8¸3À¸)È5ÔQ€KØ‡O�O�A�qÔÜ�{ JÔ/Ð/Ð/Ð/ra   c                  óþ   — t        «       } t        | ddgid¬«      }|j                  t        t        «       t        |d«      sJ ‚t        | ddgidd¬«      }|j                  t        t        «       t        |d«      sJ ‚y )Nr\   rx   r”   rÝ   rÓ   r   )rž   rÌ   )rX   r)   rj   rh   r¼   rà   r2   )r×   rØ   Úrandom_searchs      r^   Útest_trivial_cv_results_attrr*    st   € ä
Ó
€CÜ˜s [°1°#Ð$6¸1Ô=€KØ‡O�O”A”qÔÜ�; Ô.Ð.Ð.ä& s¨[¸1¸#Ð,>ÀqÈQÔO€MØ×Ñ”aœÔÜ�; Ô.Ð.Ñ.ra   c            
      óÞ  — t        «       } d ddgfD ]ë  }t        | dg d¢idd¬«      }|j                  t        t        «       t        |d«      st        |d	«      rt        |d
«      sJ ‚dD ]‘  }d|› d�}d|› d�}t        j                  t        |¬«      5 } t        ||«      t        «       d d d «       t        j                  j                  t        «      sJ ‚|t        |j                  j                  «      v rŒ‘J ‚ Œí d}dD ]P  }t        j                  t        |¬«      5  t        | i |dddœ¬«      j                  t        t        «       d d d «       ŒR y # 1 sw Y   Œ®xY w# 1 sw Y   ŒixY w)Nrý   Ú	precisionr\   rª   Fr”   ©r&  rÌ   rÒ   Úbest_index_rÿ   )rp   rˆ   r‰   rs   rv   zhas no attribute 'ú'z`refit=False`. z9 is available only after refitting on the best parametersr¡   zIFor multi-metric scoring, the parameter refit must be set to a scorer key)TÚrecallrý   )ÚaccÚprec)r&  rÕ   )rX   r)   rj   rh   r¼   rà   r£   r¤   r�   Úgetattrr¿   ÚvalueÚ	__cause__ÚstrrÖ   )	r×   rÕ   rØ   Úfn_nameÚ	outer_msgÚ	inner_msgÚ	exec_infor  r&  s	            r^   Útest_no_refitr;  ‹  s}  € ä
Ó
€CØ˜: {Ð3Ð4ò ?ˆÜ" 3¨²iÐ(@ÈÐRSÔTˆØ�‰œœ1Ôä˜Ð%6Ô7Ü˜ ]Ô3Ü˜ ^Ô4ð	
ð5ð
ò 	?ˆGð -¨W¨I°QÐ7ˆIà! ' ð +3ð 3ð ô —‘œ~°YÔ?ð 1À9Ø-”˜ WÓ-¬aÔ0÷1ô ˜iŸo™o×7Ñ7¼ÔHÐHÐHØ¤ I§O¡O×$=Ñ$=Ó >Ò>Ð>Ð>ñ!	?ð?ð> 	Tð ð .ò ˆÜ�]‰]œ:¨YÔ7ñ 	ÜØ�R˜u°jÈ+Ñ.Vôç‰c”!”QŒi÷	ð 	ñ÷1ð 1ú÷	ð 	ús   ÂEÄ!+E#ÅE Å#E,	c                  óà   — t        ddd¬«      \  } }t        «       }t        |dddgi«      }t        j                  t
        «      5  |j                  | d d |«       d d d «       y # 1 sw Y   y xY w)	NéÈ   rç   r   ©r  Ú
n_featuresrø   r½   rü   ry   é´   )r   rD   r)   r£   r¤   rÖ   rj   )ÚX_Úy_r×   rÌ   s       r^   Útest_grid_search_errorrC  ¶  se   € ä ¨3¸3ÈQÔO�F€Bˆä
‹+€CÜ	�c˜C # s Ð,Ó	-€BÜ	�‰”zÓ	"ñ Ø
�‰ˆr�$�3ˆx˜Ô÷÷ ñ ús   ÁA$Á$A-c                  ó   — t        ddd¬«      \  } }dgdgdgdœ}t        d	¬
«      }t        ||«      }|j                  | |«       t        ddd¬«      }|j                  | |«       t	        |j
                  |j                  j
                  «       y )Nr=  rç   r   r>  ry   Úrbfrü   )r½   ÚkernelÚgammaÚauto©rG  )r   rC   r)   rj   rT   Ú
dual_coef_rÒ   )rA  rB  Ú
param_dictr×   rÌ   s        r^   Útest_grid_search_one_grid_pointrL  À  s~   € Ü ¨3¸3ÈQÔO�F€BˆØ�u¨¨¸3¸%Ñ@€Jä
�FÔ
€CÜ	�c˜:Ó	&€BØ‡F�Fˆ2ˆr„Nä
�˜E¨Ô
-€CØ‡G�GˆB�„Oä�s—~‘~ r×'9Ñ'9×'DÑ'DÕEra   c                  óº   — t        «       } d }t        | dt        dd«      id¬«      }|j                  t        t
        «       |j                  j                  dk(  sJ ‚y )Nr\   rx   r¬   r”   rÝ   )rX   r)   r—   rj   rh   r¼   rÒ   r\   )r×   rØ   s     r^   Ú/test_grid_search_when_param_grid_includes_rangerN  Î  sP   € ä
Ó
€CØ€KÜ˜s [´%¸¸1³+Ð$>À1ÔE€KØ‡O�O”A”qÔØ×&Ñ&×0Ñ0°AÒ5Ð5Ñ5ra   c                  ó°  — t        ddd¬«      \  } }ddi}t        d¬«      }t        j                  d	«      }t	        ||«      }t        j                  t        |¬
«      5  |j                  | |«       d d d «       dg i}t        «       }t        j                  d«      }t	        ||«      }t        j                  t        |¬
«      5  |j                  | |«       d d d «       ddi}t        d¬«      }t        j                  d«      }t	        ||«      }t        j                  t        |¬
«      5  |j                  | |«       d d d «       dt        j                  d«      i}t        «       }t	        ||«      }t        j                  t        «      5  |j                  | |«       d d d «       y # 1 sw Y   �Œ8xY w# 1 sw Y   ŒßxY w# 1 sw Y   Œ„xY w# 1 sw Y   y xY w)Nrœ   rè   r   r>  r½   rx   rH  rI  z£Parameter grid for parameter 'C' needs to be a list or a numpy array, but got 1 (of type int) instead. Single values need to be wrapped in a list with one element.r¡   zIParameter grid for parameter 'C' need to be a non-empty sequence, got: []z1,2,3z©Parameter grid for parameter 'C' needs to be a list or a numpy array, but got '1,2,3' (of type str) instead. Single values need to be wrapped in a list with one element.)r«   r”   )r   rC   ÚreÚescaper)   r£   r¤   r   rj   rÖ   rd   rñ   )rh   r¼   rK  r×   r  Úsearchs         r^   Útest_grid_search_bad_param_gridrS  ×  sž  € Ü¨¸ÈÔJ�D€A€qØ�q�€JÜ
�FÔ
€CÜ—	‘	ð	@ó€Iô
 ˜#˜zÓ*€FÜ	�‰”y¨	Ô	2ñ Ø�
‰
�1�aÔ÷ð �r�€JÜ
‹%€CÜ—	‘	ØSó€Iô ˜#˜zÓ*€FÜ	�‰”z¨Ô	3ñ Ø�
‰
�1�aÔ÷ð �w�€JÜ
�FÔ
€CÜ—	‘	ð	.ó€Iô
 ˜#˜zÓ*€FÜ	�‰”y¨	Ô	2ñ Ø�
‰
�1�aÔ÷ð ”r—w‘w˜v“Ð'€JÜ
‹%€CÜ˜#˜zÓ*€FÜ	�‰”zÓ	"ñ Ø�
‰
�1�aÔ÷ð ÷5ñ ú÷ð ú÷ð ú÷ð ús0   ÁF'ÃF4Ä*G ÆGÆ'F1Æ4F=Ç G	ÇGÚcsr_containerc                 ó
  — t        ddd¬«      \  }}t        «       }t        |dddgi«      }|j                  |d d |d d «       |j	                  |dd  «      }|j
                  j                  } | |«      }t        «       }t        |dddgi«      }|j                  |d d j                  «       |d d «       |j	                  |dd  «      }|j
                  j                  }t        j                  ||k(  «      d	k\  sJ ‚||k(  sJ ‚y )
Nr=  rç   r   r>  r½   rü   ry   r@  gÍÌÌÌÌÌì?)
r   rD   r)   rj   rp   rÒ   r½   Útocoord   Úmean)	rT  rA  rB  r×   rÌ   Úy_predr½   Úy_pred2ÚC2s	            r^   Útest_grid_search_sparser[  ÿ  s  € ô !¨3¸3ÈQÔO�F€Bˆä
‹+€CÜ	�c˜C # s Ð,Ó	-€BØ‡F�Fˆ2ˆdˆsˆ8�R˜˜�XÔØ�Z‰Z˜˜3˜4˜Ó!€FØ
×Ñ×Ñ€Aá	�rÓ	€BÜ
‹+€CÜ	�c˜C # s Ð,Ó	-€BØ‡F�Fˆ2ˆdˆsˆ8�>‰>Ó˜R  ˜XÔ&Ø�j‰j˜˜C˜D˜Ó"€GØ	×	Ñ	×	Ñ	€Bä�7‰7�6˜WÑ$Ó%¨Ò,Ð,Ð,Ø�Š7€N‰7ra   c                 óÂ  — t        ddd¬«      \  }}t        «       }t        |dddgid¬	«      }|j                  |d d
 |d d
 «       |j	                  |d
d  «      }|j
                  j                  } | |«      }t        «       }t        |dddgid¬	«      }|j                  |d d
 |d d
 «       |j	                  |d
d  «      }|j
                  j                  }t        ||«       ||k(  sJ ‚d„ }	t        |	d¬«      }
t        |dddgi|
¬	«      }|j                  |d d
 |d d
 «       |j	                  |d
d  «      }|j
                  j                  }||k(  sJ ‚t        ||«       y )Nr=  rç   r   r>  r½   rü   ry   Úf1rþ   r@  c                 ó   — t        | |«       S rZ   )r#   )Úy_true_Úy_pred_s     r^   Úf1_lossz0test_grid_search_sparse_scoring.<locals>.f1_loss-  s   € Ü˜ 'Ó*Ð*Ð*ra   F)Úgreater_is_better)	r   rD   r)   rj   rp   rÒ   r½   rT   r$   )rT  rA  rB  r×   rÌ   rX  r½   rY  rZ  ra  ÚF1LossÚy_pred3ÚC3s                r^   Útest_grid_search_sparse_scoringrf    sk  € ä ¨3¸3ÈQÔO�F€Bˆä
‹+€CÜ	�c˜C # s Ð,°dÔ	;€BØ‡F�Fˆ2ˆdˆsˆ8�R˜˜�XÔØ�Z‰Z˜˜3˜4˜Ó!€FØ
×Ñ×Ñ€Aá	�rÓ	€BÜ
‹+€CÜ	�c˜C # s Ð,°dÔ	;€BØ‡F�Fˆ2ˆdˆsˆ8�R˜˜�XÔØ�j‰j˜˜C˜D˜Ó"€GØ	×	Ñ	×	Ñ	€Bä�v˜wÔ'Ø�Š7€Nˆ7ò+ô ˜°EÔ:€FÜ	�c˜C # s Ð,°fÔ	=€BØ‡F�Fˆ2ˆdˆsˆ8�R˜˜�XÔØ�j‰j˜˜C˜D˜Ó"€GØ	×	Ñ	×	Ñ	€Bà�Š7€Nˆ7Ü�v˜wÕ'ra   c                  óH  — t        ddd¬«      \  } }t        j                  | d d | d d j                  «      }|d d }t	        d¬«      }t        |dd	d
gi«      }|j                  ||«       |j                  dk\  sJ ‚t        j                  | dd  | d d j                  «      }|dd  }|j                  |«      }t        j                  ||k(  «      dk\  sJ ‚t        j                  t        «      5  |j                  |j                  «       |«       d d d «       y # 1 sw Y   y xY w)Nr=  rç   r   r>  r@  Úprecomputed©rF  r½   rü   ry   )r   rd   Údotro   rC   r)   rj   Úbest_score_rp   rW  r£   r¤   rÖ   Útolist)	rA  rB  ÚK_trainÚy_trainr×   rÌ   ÚK_testÚy_testrX  s	            r^   Ú#test_grid_search_precomputed_kernelrq  :  s  € ô !¨3¸3ÈQÔO�F€Bˆô �f‰f�R˜˜�X˜r $ 3˜xŸz™zÓ*€GØ��#ˆh€Gä
�]Ô
#€CÜ	�c˜C # s Ð,Ó	-€BØ‡F�Fˆ7�GÔà�>‰>˜QÒÐÐô �V‰V�B�s�t�H˜b  #˜hŸj™jÓ)€FØ��ˆX€Fà�Z‰Z˜Ó€Fä�7‰7�6˜VÑ#Ó$¨Ò)Ð)Ð)ô 
�‰”zÓ	"ñ *Ø
�‰ˆw�~‰~Ó Ô)÷*÷ *ñ *ús   Ã.!DÄD!c                  ó  — t        j                  d«      } t        j                  d«      }t        d¬«      }t	        |dddgi«      }t        j                  t        «      5  |j                  | |«       d d d «       y # 1 sw Y   y xY w)N)rœ   é   )rœ   rh  ri  r½   rü   ry   )	rd   rò   rñ   rC   r)   r£   r¤   rÖ   rj   )rm  rn  r×   rÌ   s       r^   Ú3test_grid_search_precomputed_kernel_error_nonsquarert  W  sm   € ô �h‰h�xÓ €GÜ�g‰g�e‹n€GÜ
�]Ô
#€CÜ	�c˜C # s Ð,Ó	-€BÜ	�‰”zÓ	"ñ !Ø
�‰ˆw˜Ô ÷!÷ !ñ !ús   Á A<Á<Bc                   ó$   — e Zd ZdZdd„Zd„ Zd„ Zy)ÚBrokenClassifierz*Broken classifier that cannot be fit twiceNc                 ó   — || _         y rZ   ©Ú	parameter©r]   ry  s     r^   r_   zBrokenClassifier.__init__e  r`   ra   c                 ó.   — t        | d«      rJ ‚d| _        y )NÚhas_been_fit_T)rà   r|  ©r]   rh   r¼   s      r^   rj   zBrokenClassifier.fith  s   € Ü˜4 Ô1Ð1Ð1Ø!ˆÕra   c                 óF   — t        j                  |j                  d   «      S rl   ©rd   rò   rn   rr   s     r^   rp   zBrokenClassifier.predictl  ó   € Ü�x‰x˜Ÿ™ ™
Ó#Ð#ra   rZ   )r„   r…   r†   r‡   r_   rj   rp   r‹   ra   r^   rv  rv  b  s   „ Ù4ó#ò"ó$ra   rv  z1ignore::sklearn.exceptions.UndefinedMetricWarningc                  óê   — t        j                  d«      j                  dd«      } t        j                  dgdz  dgdz  z   «      }t	        t        «       dddgigdd¬	«      }|j                  | |«       y )
Nrç   rœ   r   rè   rx   ry  r,  T©rÕ   r&  )rd   rí   rî   rï   r)   rv  rj   )rh   r¼   r×   s      r^   Ú
test_refitrƒ  p  so   € ô
 	�	‰	�#‹×Ñ˜r 2Ó&€AÜ
�‰�!��q‘˜A˜3 ™7Ñ"Ó#€Aä
ÜÓ˜k¨A¨q¨6Ð2Ð3¸[ÐPTô€Cð ‡G�GˆAˆq…Mra   c                  óÈ   — d„ } t        ddd¬«      \  }}t        t        d¬«      dg d¢id	| ¬
«      }|j                  ||«       |j                  dk(  sJ ‚t        |d«      rJ ‚y)z^
    Test refit=callable, which adds flexibility in identifying the
    "best" estimator.
    c                 ó  — t        ddd¬«      \  }}t        t        d¬«      dg d¢idd	¬
«      }|j                  ||«       |j                  dk7  sJ ‚|j
                  j                  «       D ]  }|| v rŒJ ‚ | d   j                  «       S )z–
        A dummy function tests `refit=callable` interface.
        Return the index of a model that has the least
        `mean_test_score`.
        rç   r¬   é*   r>  r÷   r½   ©ç{®Gáz„?rü   rx   r,  Tr‚  r   Úmean_test_score)r   r)   rD   rj   r.  rÓ   ÚkeysÚargmin)Ú
cv_resultsrh   r¼   r×   Úkeys        r^   Úrefit_callablez+test_refit_callable.<locals>.refit_callable„  sš   € ô #¨S¸QÈRÔP‰ˆˆ1ÜÜ 2Ô&Ø’.Ð!ØØô	
ˆð 	�‰��1Œà�‰ !Ò#Ð#Ð#ð —?‘?×'Ñ'Ó)ò 	%ˆCØ˜*Ò$Ð$Ð$ð	%ð Ð+Ñ,×3Ñ3Ó5Ð5ra   rç   r¬   r†  r>  r÷   r½   r‡  r,  r‚  r   rk  N)r   r)   rD   rj   r.  rà   )rŽ  rh   r¼   r×   s       r^   Útest_refit_callabler�  ~  so   € ò6ô2 ¨¸ÈÔL�D€A€qÜ
Ü˜rÔ"Ø	ŠnÐØØô	€Cð ‡G�GˆAˆq„Mà�?‰?˜aÒÐÐä�s˜MÔ*Ð*Ð*Ð*ra   c                  óê   — d„ } t        ddd¬«      \  }}t        t        d¬«      ddd	gid
| ¬«      }t        j                  t
        d¬«      5  |j                  ||«       ddd«       y# 1 sw Y   yxY w)zb
    Test implementation catches the errors when 'best_index_' returns an
    invalid result.
    c                  ó   — y)zT
        A dummy function tests when returned 'best_index_' is not integer.
        Nr‹   ©rŒ  s    r^   Úrefit_callable_invalid_typezEtest_refit_callable_invalid_type.<locals>.refit_callable_invalid_type±  s   € ð ra   rç   r¬   r†  r>  r÷   r½   rü   rx   r,  r‚  z&best_index_ returned is not an integerr¡   N)r   r)   rD   r£   r¤   r   rj   )r“  rh   r¼   r×   s       r^   Ú test_refit_callable_invalid_typer”  «  sq   € òô ¨¸ÈÔL�D€A€qä
Ü˜rÔ"Ø	ˆs�AˆhˆØØ)ô	€Cô 
�‰”yÐ(PÔ	Qñ Ø�‰��1Œ÷÷ ñ úó   ÁA)Á)A2Úout_bound_valueÚ	search_cvc                 óê   ‡ — ˆ fd„}t        ddd¬«      \  }} |t        d¬«      ddd	gid
|¬«      }t        j                  t        d¬«      5  |j                  ||«       ddd«       y# 1 sw Y   yxY w)zg
    Test implementation catches the errors when 'best_index_' returns an
    out of bound result.
    c                 ó   •— ‰S )zV
        A dummy function tests when returned 'best_index_' is out of bounds.
        r‹   )rŒ  r–  s    €r^   Úrefit_callable_out_boundz?test_refit_callable_out_bound.<locals>.refit_callable_out_boundË  s   ø€ ð Ðra   rç   r¬   r†  r>  r÷   r½   rü   rx   r,  r‚  zbest_index_ index out of ranger¡   N)r   rD   r£   r¤   rÁ   rj   )r–  r—  rš  rh   r¼   r×   s   `     r^   Útest_refit_callable_out_boundr›  Ã  sr   ø€ ôô ¨¸ÈÔL�D€A€qá
Ü˜rÔ"Ø	ˆs�AˆhˆØØ&ô	€Cô 
�‰”zÐ)IÔ	Jñ Ø�‰��1Œ÷÷ ñ úr•  c                  óì   — d„ } t        ddd¬«      \  }}t        t        «      ddœ}t        t	        d¬«      d	g d
¢i|| ¬«      }|j                  ||«       |j                  dk(  sJ ‚t        |d«      rJ ‚y)zC
    Test refit=callable in multiple metric evaluation setting
    c                 ó4   — d| v sJ ‚| d   j                  «       S )z•
        A dummy function tests `refit=callable` interface.
        Return the index of a model that has the least
        `mean_test_prec`.
        Úmean_test_prec)r‹  r’  s    r^   rŽ  z8test_refit_callable_multi_metric.<locals>.refit_callableâ  s'   € ð   :Ñ-Ð-Ð-ØÐ*Ñ+×2Ñ2Ó4Ð4ra   rç   r¬   r†  r>  r,  )ÚAccuracyr2  r÷   r½   r‡  r‚  r   rk  N)r   r$   r!   r)   rD   rj   r.  rà   )rŽ  rh   r¼   rÕ   r×   s        r^   Ú test_refit_callable_multi_metricr   Ý  s~   € ò
5ô ¨¸ÈÔL�D€A€qÜ&¤~Ó6ÀÑL€GÜ
Ü˜rÔ"Ø	ŠnÐØØô	€Cð ‡G�GˆAˆq„Mà�?‰?˜aÒÐÐä�s˜MÔ*Ð*Ð*Ð*ra   c                  óX  — t        j                  d«      j                  dddd«      } t        j                  d«      j                  ddd«      }d	„ }d
„ }t        ||dg¬«      }t	        |dg d¢i«      }|j                  | |«      j                  t        t        «       t        |d«      sJ ‚y )Né,  rœ   rè   r«   r”   i  é   é   c                 ó&   — | j                   dd  dk(  S )Nrx   )rè   r«   r”   rm   ©r»   s    r^   Úcheck_Xz#test_gridsearch_nd.<locals>.check_Xÿ  s   € Ø�w‰w�q�rˆ{˜iÑ'Ð'ra   c                 ó&   — | j                   dd  dk(  S )Nrx   )r£  r¤  rm   r¦  s    r^   Úcheck_yz#test_gridsearch_nd.<locals>.check_y  s   € Ø�w‰w�q�rˆ{˜gÑ%Ð%ra   rj   )r§  r©  Úmethods_to_checkr\   rª   rÓ   )
rd   rí   rî   rK   r)   rj   r{   rh   r¼   rà   )ÚX_4dÚy_3dr§  r©  r×   rØ   s         r^   Útest_gridsearch_ndr­  ú  s�   € ä�9‰9�^Ó$×,Ñ,¨R°°A°qÓ9€DÜ�9‰9�[Ó!×)Ñ)¨"¨a°Ó4€Dò(ò&ô ØØØ˜ô€Cô
 ˜s [²)Ð$<Ó=€KØ‡O�O�D˜$Ó×%Ñ%¤a¬Ô+Ü�; Ô.Ð.Ñ.ra   c                  ód  — t        j                  d«      j                  dd«      } t        j                  dgdz  dgdz  z   «      }t	        d„ dg¬«      }t        d	¬
«      }t        |dg d¢i|¬«      }|j                  | j                  «       |«      j                  | |«       t        |d«      sJ ‚y )Nrç   rœ   r   rè   rx   c                 ó"   — t        | t        «      S rZ   ©r¿   r–   r¦  s    r^   ú<lambda>z test_X_as_list.<locals>.<lambda>  ó   € œ* Q¬Ó-€ ra   rj   )r§  rª  r«   r  r\   rª   rÝ   rÓ   ©rd   rí   rî   rï   rK   r-   r)   rj   rl  r{   rà   ©rh   r¼   r×   rÌ   rØ   s        r^   Útest_X_as_listrµ    s�   € ä
�	‰	�#‹×Ñ˜r 2Ó&€AÜ
�‰�!��q‘˜A˜3 ™7Ñ"Ó#€Aä
Ù-Ø˜ô€Cô 
˜Ô	€BÜ˜s [²)Ð$<ÀÔD€KØ‡O�O�A—H‘H“J Ó"×(Ñ(¨¨AÔ.Ü�; Ô.Ð.Ñ.ra   c                  ód  — t        j                  d«      j                  dd«      } t        j                  dgdz  dgdz  z   «      }t	        d„ dg¬«      }t        d	¬
«      }t        |dg d¢i|¬«      }|j                  | |j                  «       «      j                  | |«       t        |d«      sJ ‚y )Nrç   rœ   r   rè   rx   c                 ó"   — t        | t        «      S rZ   r°  r¦  s    r^   r±  z test_y_as_list.<locals>.<lambda>$  r²  ra   rj   )r©  rª  r«   r  r\   rª   rÝ   rÓ   r³  r´  s        r^   Útest_y_as_listr¸    s�   € ä
�	‰	�#‹×Ñ˜r 2Ó&€AÜ
�‰�!��q‘˜A˜3 ™7Ñ"Ó#€Aä
Ù-Ø˜ô€Cô 
˜Ô	€BÜ˜s [²)Ð$<ÀÔD€KØ‡O�O�A�q—x‘x“zÓ"×(Ñ(¨¨AÔ.Ü�; Ô.Ð.Ñ.ra   c                  ó  ‡‡— t         t         fg} 	 ddlm}m} | j	                  ||f«       t        j                  d«      j                  dd«      }t        j                  dgdz  dgdz  z   «      }| D ]}  \  ŠŠ ‰|«       ‰|«      }}ˆfd„}ˆfd„}t        ||¬	«      }	t        |	d
g d¢i«      }
|
j                  ||«      j                  ||«       |
j                  |«       t        |
d«      rŒ}J ‚ y # t
        $ r Y ŒÓw xY w)Nr   )Ú	DataFrameÚSeriesrç   rœ   rè   rx   c                 ó   •— t        | ‰«      S rZ   ©r¿   )r»   ÚInputFeatureTypes    €r^   Úcheck_dfz#test_pandas_input.<locals>.check_df>  s   ø€ Ü˜aÐ!1Ó2Ð2ra   c                 ó   •— t        | ‰«      S rZ   r½  )r»   Ú
TargetTypes    €r^   Úcheck_seriesz'test_pandas_input.<locals>.check_seriesA  s   ø€ Ü˜a Ó,Ð,ra   )r§  r©  r\   rª   rÓ   )rL   Úpandasrº  r»  ÚappendÚImportErrorrd   rí   rî   rï   rK   r)   rj   r{   rp   rà   )Útypesrº  r»  rh   r¼   ÚX_dfÚy_serr¿  rÂ  r×   rØ   r¾  rÁ  s              @@r^   Útest_pandas_inputrÉ  -  s  ù€ äœ]Ð+Ð,€Eðß,à�‰�i Ð(Ô)ô 	�	‰	�#‹×Ñ˜r 2Ó&€AÜ
�‰�!��q‘˜A˜3 ™7Ñ"Ó#€Aà(-ò 3Ñ$Ð˜*á& qÓ)©:°a«=ˆeˆô	3ô	-ô !¨¸<ÔHˆä" 3¨²iÐ(@ÓAˆØ�‰˜˜eÓ$×*Ñ*¨4°Ô7Ø×Ñ˜DÔ!Ü�{ MÕ2Ð2Ð2ñ3øô ò Ùðús   ‘C4 Ã4	D Ã?D c                  óÔ  — t        dd¬«      \  } }t        ddd¬«      }ddg}d	D ]C  }t        |t        g d
¢¬«      ||¬«      }|j	                  | |«       |j
                  d   dk(  rŒCJ ‚ t        |t        g d
¢¬«      d¬«      }|j	                  | |«       |j
                  d   dk(  sJ ‚t        |t        g d
¢¬«      ¬«      }|j	                  | «       |j
                  d   dk(  sJ ‚y )Né2   r   ©r  rø   r  rx   )rø   ÚinitÚn_initÚadjusted_rand_scoreÚfowlkes_mallows_score)rÏ  rÐ  )r”   r«   r¬   )Ú
n_clusters)râ   rÕ   r&  rÑ  r«   ©râ   rÕ   )râ   r¬   )r   r   r)   Údictrj   rÿ   )rh   r¼   ÚkmrÕ   r&  rØ   s         r^   Útest_unsupervised_grid_searchrÕ  L  s÷   € ä °Ô3�D€A€qÜ	˜Q X°aÔ	8€Bð %Ð&=Ð>€GØAò ;ˆÜ"Øœ4ª9Ô5¸wÈeô
ˆð 	�‰˜˜1Ôà×'Ñ'¨Ñ5¸Ó:Ð:Ð:ð;ô Ø
”t¢yÔ1Ð;Rô€Kð ‡O�O�A�qÔØ×#Ñ# LÑ1°QÒ6Ð6Ð6ô ˜r¬dºiÔ.HÔI€KØ‡O�O�AÔØ×#Ñ# LÑ1°QÒ6Ð6Ñ6ra   c                  óî   — d„ } t        ddddgddgddgg¬«      \  }}t        t        «       t        g d¢¬«      | ¬«      }|j	                  |«       |j
                  d	   dk(  sJ ‚|j                  d
k(  sJ ‚y )Nc                 ó(   — | j                   dk(  rdS dS )Nrü   r†  r   ©Ú	bandwidth)Ú	estimatorrh   s     r^   Úcustom_scoringz2test_gridsearch_no_predict.<locals>.custom_scoringk  s   € Ø×(Ñ(¨CÒ/ˆrÐ6°QÐ6ra   rü   rx   r   )Úcluster_stdrø   rú   r‡  rØ  rÒ  rÙ  r†  )r   r)   r:   rÓ  rj   rÿ   rk  )rÛ  rh   Ú_rR  s       r^   Útest_gridsearch_no_predictrÞ  h  s…   € ò7ô  #°AÀÀAÀÈÈAÈÐQRÐTUÐPVÐ?WÔX�D€A€qÜÜ‹Ü¢.Ô1Øô€Fð
 ‡J�Jˆq„MØ×Ñ˜{Ñ+¨sÒ2Ð2Ð2Ø×Ñ Ò#Ð#Ñ#ra   c                  óä  — ddgt        dd«      dœ} t        | dd¬«      }|D �cg c]  }|‘Œ }}t        |«      dk(  sJ ‚|D ]  }|d   d	v sJ ‚d|d
   cxk  rdk  rŒJ ‚ J ‚ d
g d¢i} t        | dd¬«      }|D �cg c]  }|‘Œ c}|D �cg c]  }|‘Œ c}k(  sJ ‚d
t        dd«      i} t        | dd¬«      }|D �cg c]  }|‘Œ c}|D �cg c]  }|‘Œ c}k(  sJ ‚y c c}w c c}w c c}w c c}w c c}w )NrE  Úlinearr   rx   )rF  r½   rœ   )Úparam_distributionsrž   rø   rF  )rE  rà  r½   )r   rx   r”   r«   r¬   rè   r²   r£  é   é	   rœ   r«   )r   r1   rc   )rá  Úsamplerr»   ÚsamplesÚsamples        r^   Útest_param_samplerrç  y  s2  € à&+¨XÐ%6¼WÀQÈ»]ÑKÐÜØ/¸Èô€Gð "Ö"�QŠqÐ"€GÐ"Üˆw‹<˜2ÒÐÐØò %ˆØ�hÑÐ#4Ñ4Ð4Ð4Ø�F˜3‘KÔ$ 1Ó$Ð$Ñ$Ð$Ð$ð%ð
 Ò BÐCÐÜØ/¸Èô€Gð Ö�!ŠAÒ¨wÖ#7¨!¢AÒ#7Ò7Ð7Ð7à¤¨¨1£Ð.ÐÜØ/¸Èô€Gð Ö�!ŠAÒ¨wÖ#7¨!¢AÒ#7Ò7Ð7Ñ7ùò# #ùò  ùÒ#7ùò  ùÒ#7s   ¤	CÁ:	CÂ		C#Â9	C(Ã	C-c                 ó°  ‡— | j                   Št        ˆfd„|D «       «      sJ ‚|D �ci c]  }|‰|   j                  j                  “Œ c}|k(  sJ ‚t	        ˆfd„|D «       «      rJ ‚t        ˆfd„|D «       «      sJ ‚| j
                  r| j                  j                  «       ndg}|D ]'  }‰d|z     j                  t        j                  k(  rŒ'J ‚ y c c}w )Nc              3   ól   •K  — | ]+  }t        ‰|   t        j                  j                  «      –— Œ- y ­wrZ   ©r¿   rd   ÚmaÚMaskedArray)r·   ÚparamrŒ  s     €r^   r¹   z/check_cv_results_array_types.<locals>.<genexpr>˜  s'   øè ø€ ÒXÀEŒz˜* UÑ+¬R¯U©U×->Ñ->×?ÑXùó   ƒ14c              3   ól   •K  — | ]+  }t        ‰|   t        j                  j                  «      –— Œ- y ­wrZ   rê  ©r·   r�  rŒ  s     €r^   r¹   z/check_cv_results_array_types.<locals>.<genexpr>œ  s&   øè ø€ ÒXÀc”:˜j¨™o¬r¯u©u×/@Ñ/@×AÑXùrî  c              3   ó€   •K  — | ]5  }|j                  d «      s"‰|   j                  t        j                  k(  –— Œ7 y­w)ÚrankN)Ú
startswithÚdtyperd   Úfloat64rð  s     €r^   r¹   z/check_cv_results_array_types.<locals>.<genexpr>�  s8   øè ø€ ò àØ�~‰~˜fÔ%ð 	�3‰×Ñ¤§¡Õ+ñùs   ƒ;>r{   zrank_test_%s)
rÓ   Úallrô  ÚkindÚanyÚmultimetric_Úscorer_rŠ  rd   Úint32)rR  Ú
param_keysÚ
score_keysÚexpected_cv_results_kindsr�  Úscorer_keysrŒ  s         @r^   Úcheck_cv_results_array_typesr   “  së   ø€ ð ×#Ñ#€JÜÓXÈZÔXÔXÐXÐXà3=öØ,/ˆˆZ˜‰_×"Ñ"×'Ñ'Ñ'òà	"ò#ð #ð #ô ÓXÈZÔXÔXÐXÐXÜó àôô ð ð ð ,2×+>Ò+>�&—.‘.×%Ñ%Ô'ÀWÀI€Kàò BˆØ˜.¨3Ñ.Ñ/×5Ñ5¼¿¹ÓAÐAÐAñBùòs   ¨!Cc                 óª   ‡ ‡— ||z   |z   }t        t        ‰ j                  «       «      t        |dz   «      «       t        ˆ ˆfd„||z   D «       «      sJ ‚y )N)r�   c              3   óD   •K  — | ]  }‰|   j                   ‰fk(  –— Œ y ­wrZ   rm   )r·   r�  rŒ  Ún_cands     €€r^   r¹   z(check_cv_results_keys.<locals>.<genexpr>­  s"   øè ø€ ÒU°cˆz˜#‰×$Ñ$¨¨	Õ1ÑUùs   ƒ )rT   rµ   rŠ  rö  )rŒ  rü  rý  r  Ú
extra_keysÚall_keyss   `  `  r^   Úcheck_cv_results_keysr  ©  sK   ù€ à˜JÑ&¨Ñ3€HÜ”v˜jŸo™oÓ/Ó0´&¸ÀKÑ9OÓ2PÔQÜÔU¸ZÈ*Ñ=TÔUÔUÐUÑUra   c                  óš  ‡— t        ddd¬«      \  } }d}t        dgddgd	dg¬
«      t        dgddg¬«      g}d}d}|}t        t        «       d|d¬«      }|j	                  | |«       |j
                  Št        ‰d   dk\  «      sJ ‚ˆfd„|D «       sJ ‚ˆfd„|D «       sJ ‚dddddœ}t        ||||«       t        ‰|||«       |j
                  Št        |«      D �	cg c]H  }	‰d   |	   dk(  r;‰d   j                  |	   xr' ‰d   j                  |	   xr ‰d   j                  |	    ‘ŒJ }
}	t        |
«      sJ ‚t        |
«      dk(  sJ ‚t        |«      D �	cg c]I  }	‰d   |	   dk(  r<‰d   j                  |	    xr' ‰d   j                  |	    xr ‰d   j                  |	   ‘ŒK }}	t        |«      sJ ‚t        |«      dk(  sJ ‚y c c}	w c c}	w )NrË  r¬   r†  r>  r²   rE  rx   rœ   rü   ©rF  r½   rG  Úpolyr”   ©rF  Údegree©Úparam_CÚparam_degreeÚparam_gammaÚparam_kernel©r‰  Úmean_train_scoreÚrank_test_scoreÚsplit0_test_scoreÚsplit1_test_scoreÚsplit2_test_scoreÚsplit0_train_scoreÚsplit1_train_scoreÚsplit2_train_scoreÚstd_test_scoreÚstd_train_scoreÚmean_fit_timeÚstd_fit_timeÚmean_score_timeÚstd_score_timer«   T)rÌ   râ   Úreturn_train_scorer  c              3   óL   •K  — | ]  }|d k7  sŒ	t        ‰|   dk\  «      –— Œ y­w)r  r   N©rö  ©r·   ÚkrŒ  s     €r^   r¹   z.test_grid_search_cv_results.<locals>.<genexpr>Ý  s'   øè ø€ ÒR¨¸1Ð@QÓ;QŒC�
˜1‘ Ñ"×#ÑRùs   ƒ
$Ž$c              3   óR   •K  — | ]  }d |vr|dk7  rt        ‰|   dk  «      –— Œ  y­w)Útimer  rx   Nr"  r#  s     €r^   r¹   z.test_grid_search_cv_results.<locals>.<genexpr>Þ  s6   øè ø€ ò àØ˜‰?˜qÐ$5Ò5ô 	ˆJ�q‰M˜QÑ×ñùs   ƒ$'r™   ÚfÚOr  r  r  r  )r   rÓ  r)   rC   rj   rÓ   rö  r   r  r—   Úmaskrc   )rh   r¼   Ún_grid_pointsr�   rü  rý  Ún_candidatesrR  rþ  r™   Úpoly_resultsÚrbf_resultsrŒ  s               @r^   Útest_grid_search_cv_resultsr.  °  ss  ø€ Ü¨¸ÈÔK�D€A€qà€Mäàðð �"ˆgØ˜�(ô	
ô 	àðð �q�6ô		
ð€Fð  L€Jð€Jð" !€Läœ#›% A°&ÈTÔR€FØ
‡J�Jˆq�!ÔØ×#Ñ#€JäˆzÐ+Ñ,°Ñ1Ô2Ð2Ð2ÛR¨ZÕRÐRÐRóàõð ð ð ØØØñ	!Ðô !Ø�
˜JÐ(Aôô ˜* j°*¸lÔKà×#Ñ#€Jô �|Ó$öð Ø�nÑ% aÑ(¨FÒ2ð �yÑ!×&Ñ& qÑ)ò 7Ø˜=Ñ)×.Ñ.¨qÑ1ò7à˜~Ñ.×3Ñ3°AÑ6Ð6ñ7ð€Lð ô ˆ|ÔÐÐÜˆ|Ó Ò!Ð!Ð!ô �|Ó$öð Ø�nÑ% aÑ(¨EÒ1ð ˜9Ñ%×*Ñ*¨1Ñ-Ð-ò 3Ø˜}Ñ-×2Ñ2°1Ñ5Ð5ò3à˜>Ñ*×/Ñ/°Ñ2ñ3ð€Kð ô ˆ{ÔÐÐÜˆ{Ó˜qÒ Ð Ñ ùò-ùòs   ÃAGÅAGc                  ó¬  ‡	— t        ddd¬«      \  } }d}dgt        d¬«      t        d	¬«      d
œdgddgdœg}d}d}|}t        t        «       |d|d¬«      }|j	                  | |«       |j
                  Š	dddddœ}t        ||||«       t        ‰	|||«       t        ˆ	fd„t        |«      D «       «      sJ ‚t        ˆ	fd„t        |«      D «       «      sJ ‚y )NrË  r¬   r†  r>  é   rE  rœ   )Úscalerü   r  r	  r”   r«   r
  r  r  T)rž   rÌ   rá  r   r'  r™   r(  c              3   óª   •K  — | ]J  }‰d    |   dk(  r=‰d   j                   |   xr' ‰d   j                   |   xr ‰d   j                   |    –— ŒL y­w)r  r	  r  r  r  N©r)  ©r·   r™   rŒ  s     €r^   r¹   z0test_random_search_cv_results.<locals>.<genexpr>;  su   øè ø€ ò ð Ø�nÑ% aÑ(¨FÒ2ð �yÑ!×&Ñ& qÑ)ò 7Ø˜=Ñ)×.Ñ.¨qÑ1ò7à˜~Ñ.×3Ñ3°AÑ6Ð6ó7ñùs   ƒAAc              3   ó¬   •K  — | ]K  }‰d    |   dk(  r>‰d   j                   |    xr' ‰d   j                   |    xr ‰d   j                   |   –— ŒM y­w)r  rE  r  r  r  Nr3  r4  s     €r^   r¹   z0test_random_search_cv_results.<locals>.<genexpr>D  sx   øè ø€ ò ð Ø�nÑ% aÑ(¨EÒ1ð ˜9Ñ%×*Ñ*¨1Ñ-Ð-ò 3Ø˜}Ñ-×2Ñ2°1Ñ5Ð5ò3à˜>Ñ*×/Ñ/°Ñ2ó3ñùs   ƒAA)
r   r   r2   rC   rj   rÓ   r   r  rö  r—   )
rh   r¼   Ún_search_iterr�   rü  rý  r+  rR  rþ  rŒ  s
            @r^   Útest_random_search_cv_resultsr7  
  s  ø€ Ü¨¸ÈÔK�D€A€qà€Mð �7¤¨R¤¼5ÀsÔ;KÑLØ�8¨¨1 vÑ.ð€Fð L€Jð€Jð" !€LäÜ‹ØØØ"Øô€Fð ‡J�Jˆq�!ÔØ×#Ñ#€Jð ØØØñ	!Ðô !Ø�
˜JÐ(Aôô ˜* j°*¸lÔKÜó ô �|Ó$ôô ð ð ô ó ô �|Ó$ôô ð ñ ra   zSearchCV, specialized_paramsrâ   r½   )rá  rž   c                 óÔ  — t        ddgddgddgddggdddd¬«      \  }}t        j                  |j                  d   t        ¬«      }d|t        j
                  |dk(  «      d   d d d…   <   d|t        j
                  |dk(  «      d   d d d…   <   || g| |gg}t        «       |d	d
œ} | di |¤|¤Ž}|j                  ||«       t        j                  t        |j                  «      D �cg c]  }|j                  d|z     d   ‘Œ c}«      }	|j                  d   d   }
|j                  d   d   }t        j                  t        |j                  «      D �cg c]  }|j                  d|z     d   ‘Œ c}«      }|j                  d   d   }|j                  d   d   }|j                  d   d   dk(  sJ ‚t        |	ddg«       t        |ddg«       |
t        j                  t        j                  |	«      «      k(  sJ ‚|t        j                  t        j                   |	«      «      k(  sJ ‚|t        j                  d«      k(  sJ ‚|t        j                  d«      k(  sJ ‚y c c}w c c}w )Nr   rx   rü   FéP   )rú   rø   rÜ  Úshuffler  ©rô  r”   T)rÚ  rÌ   r   úsplit%d_test_scorer‰  r  zsplit%d_train_scorer  r  r  gUUUUUUÕ?r‹   )r   rd   rñ   rn   ÚboolÚwhererC   rj   rï   r—   Ú	n_splits_rÓ   rQ   r£   ÚapproxrW  Ústd)rå   Úspecialized_paramsrh   r¼   r)  rÌ   Úcommon_paramsrR  ÚsÚtest_cv_scoresÚ	test_meanÚtest_stdÚtrain_cv_scoresÚ
train_meanÚ	train_stds                  r^   Útest_search_default_iidrK  O  sƒ  € ô Ø�Q�˜!˜Q˜ ! Q ¨!¨Q¨Ð0ØØØØô�D€A€qô �7‰7�1—7‘7˜1‘:¤TÔ*€DØ%&€DŒ�‰�!�q‘&Ó	˜!Ñ	™S˜q˜SÑ	!Ñ"Ø%&€DŒ�‰�!�q‘&Ó	˜!Ñ	™S˜q˜SÑ	!Ñ"ð �$�ˆ-˜4˜% ˜Ð	'€Bä"%£%¨rÈÑN€MÙÑ<˜Ð<Ð);Ñ<€FØ
‡J�Jˆq�!Ôä—X‘Xô ˜6×+Ñ+Ó,ö	
àð ×ÑÐ3°aÑ7Ñ8¸Ó;ò	
ó€Nð ×"Ñ"Ð#4Ñ5°aÑ8€IØ×!Ñ!Ð"2Ñ3°AÑ6€Hä—h‘hô ˜6×+Ñ+Ó,ö	
àð ×ÑÐ4°qÑ8Ñ9¸!Ó<ò	
ó€Oð ×#Ñ#Ð$6Ñ7¸Ñ:€JØ×"Ñ"Ð#4Ñ5°aÑ8€Ià×Ñ˜iÑ(¨Ñ+¨qÒ0Ð0Ð0ä�N Q¨	 NÔ3Ü�O a¨ VÔ,àœŸ™¤b§g¡g¨nÓ&=Ó>Ò>Ð>Ð>Ø”v—}‘}¤R§V¡V¨NÓ%;Ó<Ò<Ð<Ð<ð œŸ™ qÓ)Ò)Ð)Ð)ØœŸ™ aÓ(Ò(Ð(Ñ(ùò9	
ùò	
s   Ã*I ÅI%c                  óH  — t        ddd¬«      \  } }d}t        dgddgd	dg¬
«      t        dgddg¬«      g}g }t        t        «      t        t        «      dœddfD ]=  }t        t        «       |||d¬«      }|j                  | |«       |j                  |«       Œ? t        |Ž  y )NrË  r¬   r†  r>  r«   rE  rx   rœ   rü   r  r	  r”   r
  ©rý   r0  rý   r0  F)rÌ   râ   rÕ   r&  )
r   rÓ  r$   r!   r&   r)   rC   rj   rÄ  Ú*compare_cv_results_multimetric_with_single)rh   r¼   r  r�   Úgrid_searchesrÕ   rØ   s          r^   Ú'test_grid_search_cv_results_multimetricrP  Ž  sÌ   € Ü¨¸ÈÔK�D€A€qà€Häàðð �"ˆgØ˜�(ô	
ô 	àðð �q�6ô		
ð€Fð  €Mä ¤Ó0¼KÌÓ<UÑVØØðò 	*ˆô
 #Ü‹E�h¨6¸7È%ô
ˆð 	�‰˜˜1ÔØ×Ñ˜[Õ)ð	*ô /°Ò>ra   c                  ó°  — t        ddd¬«      \  } }d}d}t        t        j                  ddd«      t        j                  d	d
dd¬«      ¬«      }dD ]ƒ  }g }dD ]_  }|rd}t	        |t
        «      rdn|}nd}t        |d¬«      }	t        |	|||||d
¬«      }
|
j                  | |«       |j                  |
«       Œa t        |Ž  t        |d
   |d   |«       Œ… y )NrË  r¬   r†  r>  r«   r0  éüÿÿÿrx   éûÿÿÿr   rü   )Úbase)r½   rG  ©TF)rM  rý   r0  Trý   F)Úprobabilityrø   )rž   rÌ   rá  rÕ   r&  rø   )r   rÓ  rd   Úlogspacer¿   r´   rC   r2   rj   rÄ  rN  Ú)compare_refit_methods_when_refit_with_acc)rh   r¼   r  r6  r�   r&  Úrandom_searchesrÕ   rV  r×   r)  s              r^   Ú)test_random_search_cv_results_multimetricrZ  ±  sö   € Ü¨¸ÈÔK�D€A€qà€HØ€Mô ”B—K‘K  A qÓ)´·±¸RÀÀAÈCÔ1PÔQ€FØò 
ˆØˆØEò 	2ˆGáØ"�Ü&0°¼%Ô&@™
Àe‘à#�Ü +¸BÔ?ˆCÜ.ØØ$ØØ$*ØØØôˆMð ×Ñ˜a Ô#Ø×"Ñ" =Õ1ð%	2ô( 	3°OÑDÜ1Ø˜AÑ °Ñ 2°Eõ	
ñ/
ra   c                 ó  ‡— | j                   sJ ‚t        t        | j                  «      d«       | j                  Š|j                  j                  «       D ��ci c]  \  }}t        j                  dd|«      |“Œ }}}|j                  |j                  j                  «       D ��ci c]  \  }}t        j                  dd|«      |“Œ c}}«       t        ˆfd„dD «       «      sJ ‚t        j                  j                  ‰j                  «       D ��ci c]  \  }}|j                  d«      rŒ||“Œ c}}|j                  «       D ��ci c]  \  }}|j                  d«      rŒ||“Œ c}}«       yc c}}w c c}}w c c}}w c c}}w )	z€Compare multi-metric cv_results with the ensemble of multiple
    single metric cv_results from single metric grid/random searchrM  z_score$Ú	_accuracyÚ_recallc              3   óT   •K  — | ]  }t        j                  ‰|   d k  «      –— Œ! y­w)rx   N)rd   rö  )r·   r$  Úcv_results_multis     €r^   r¹   z=compare_cv_results_multimetric_with_single.<locals>.<genexpr>ç  s-   øè ø€ ò 	
àô �F‰FÐ# AÑ&¨!Ñ+×,ñ	
ùs   ƒ%()r  r  r  r  Ú_timeN)rù  rT   rµ   rú  rÓ   r¶   rP  ÚsubÚupdaterö  rd   ÚtestingÚassert_equalÚendswith)Úsearch_multiÚ
search_accÚ
search_recr$  ÚvÚcv_results_acc_recr_  s         @r^   rN  rN  Õ  sX  ø€ ð ×$Ò$Ð$Ð$Ü”v˜l×2Ñ2Ó3Ð5KÔLà#×/Ñ/Ðà9C×9OÑ9O×9UÑ9UÓ9W÷Ù15°°AŒ�‰ˆy˜+ qÓ)¨1Ñ,ðÐñ ð ×ÑØ8B×8NÑ8N×8TÑ8TÓ8V×W±°°1Œ�‰�	˜9 aÓ	(¨!Ñ	+ÓWôô ó	
ðô	
ô
ð 
ð 
ô ‡J�J×ÑØ*×0Ñ0Ó2×N‘$�!�Q¸!¿*¹*ÀWÕ:MˆˆA‰ÓNØ,×2Ñ2Ó4×P‘$�!�Q¸A¿J¹JÀwÕ<OˆˆA‰ÓPõùó1ùó 	Xùó* 	OùÛPs$   Á"E.Â%"E4
ÄE:
Ä+E:
ÅF Å F c           	      óŽ  — |j                   |k(  sJ ‚|r| j                   dk(  sJ ‚| j                   rJ ‚yt        ddd¬«      \  }}dD ].  }t         t        | |«      |«       t        ||«      |«      «       Œ0 t        | j	                  ||«      |j	                  ||«      «       dD ]  }t        | |«      t        ||«      k(  rŒJ ‚ y)	zDCompare refit multi-metric search methods with single metric methodsrý   Nrç   r¬   r†  r>  )rp   rˆ   r‰   )r.  rk  rÿ   )r&  r   rR   r3  r{   )rf  rg  r&  rh   r¼   Úmethodr�  s          r^   rX  rX  û  sÝ   € à×Ñ˜uÒ$Ð$Ð$ÙØ×!Ñ! ZÒ/Ð/Ð/à×%Ò%Ð%Ð%Øä °ÀÔC�D€A€qØCò 
ˆÜØ)ŒG�L &Ó)¨!Ó,Ð.I¬g°jÀ&Ó.IÈ!Ó.Lõ	
ð
ô ˜×*Ñ*¨1¨aÓ0°*×2BÑ2BÀ1ÀaÓ2HÔIØ=ò FˆÜ�| SÓ)¬W°ZÀÓ-EÓEÐEÐEñFra   Ú	max_depthrè   )rÚ  rá  ©rÚ  râ   c                 ó˜  — t        ddd¬«      \  }}| j                  ||«       d| j                  j                  › d�}d}t	        j
                  t        |¬«      5 }| j                  |«       d d d «       t        j                  j                  t        «      sJ ‚|t        |j                  j                  «      k(  sJ ‚y # 1 sw Y   ŒTxY w)	Nrç   r¬   r†  r>  r/  z"' has no attribute 'score_samples'z@'DecisionTreeClassifier' object has no attribute 'score_samples'r¡   )r   rj   Ú	__class__r„   r£   r¤   r�   Úscore_samplesr¿   r4  r5  r6  )r—  rh   r¼   r8  r9  r:  s         r^   Ú"test_search_cv_score_samples_errorrr    s±   € ô  °ÀÔC�D€A€qØ‡M�M�!�QÔð �I×'Ñ'×0Ñ0Ð1Ð1SÐT€IØR€Iä	�‰”~¨YÔ	7ð #¸9Ø×Ñ Ô"÷#ä�i—o‘o×/Ñ/´Ô@Ð@Ð@Øœ˜IŸO™O×5Ñ5Ó6Ò6Ð6Ñ6÷#ð #ús   ÁC Ã C	T)ÚnoveltyÚn_neighborsr,  )rÚ  rá  rÕ   )rÚ  râ   rÕ   c           	      óÆ  — t         j                  j                  d«      }d}d}t        ||z  «      }||z
  }t	        |dddgddggdd¬«      d   }t        j
                  ||j                  dd	|df¬
«      gd¬«      }t        j                  dg|z  «      }d|| d  | j                  ||«       t        | j                  |«      | j                  j                  |«      «       y )Nr†  r¢  g333333Ã?r”   r   r¾   )r  r?  rú   rÜ  rø   iúÿÿÿr²   )ÚlowÚhighÚsize©Úaxisrx   r’   )rd   r  r  Úintr   Úconcatenater   rï   rj   rQ   rq  rÒ   )r—  r  r  Úoutliers_fractionÚ
n_outliersÚ	n_inliersrh   Úy_trues           r^   Ú#test_search_cv_score_samples_methodr�  )  sù   € ô" �)‰)×
Ñ
 Ó
#€CØ€IØÐÜÐ&¨Ñ2Ó3€JØ˜JÑ&€Iô 	ØØØ�Q�˜!˜Q˜Ð ØØô	ð ñ		€Aô 	�‰˜˜3Ÿ;™;¨2°A¸ZÈ¸O˜;ÓLÐMÐTUÔV€Aô �X‰X�q�c˜I‘oÓ&€FØ€FˆJˆ;ˆ<Ðð ‡M�M�!�VÔô Ø×Ñ Ó" I×$=Ñ$=×$KÑ$KÈAÓ$Nõra   c                  óþ  — t        dd¬«      \  } }dg d¢i}t        t        «       |d¬«      }t        t        «       d|d¬	«      }||fD ]³  }|j	                  | |«       |j
                  }t        |d
   d   |d
   d   «       t        |d   d   |d   d   «       t        j                  |d
   d   |d
   d   «      rJ ‚t        j                  |d   d   |d   d   «      rJ ‚t        |j
                  d   g d¢«       Œµ y )NrË  r†  rÌ  r½   )rx   gj¼t“ð?çü©ñÒMbP?T)râ   r   r«   )rž   rá  r   r‰  r   rx   r  r”   r  )rx   rx   r«   )	r   r)   rC   r2   rj   rÓ   rR   rd   Úallclose)rh   r¼   râ   rØ   r)  rR  rŒ  s          r^   Ú(test_search_cv_results_rank_tie_breakingr…  Y  s>  € Ü °Ô4�D€A€qð Ò(Ð)€Jäœs›u°ÐPTÔU€KÜ&Ü‹�a¨ZÈDô€Mð  Ð.ò NˆØ�
‰
�1�aÔØ×'Ñ'ˆ
ô 	ØÐ(Ñ)¨!Ñ,¨jÐ9JÑ.KÈAÑ.Nô	
ô 	ØÐ)Ñ*¨1Ñ-¨zÐ:LÑ/MÈaÑ/Pô	
ô —;‘;ØÐ(Ñ)¨!Ñ,¨jÐ9JÑ.KÈAÑ.Nô
ð 	
ð 
ô —;‘;ØÐ)Ñ*¨1Ñ-¨zÐ:LÑ/MÈaÑ/Pô
ð 	
ð 
ô 	˜F×.Ñ.Ð/@ÑAÂ9ÕMñ'Nra   c                  óì   — dgdgdgdgdggg d¢}} t        «       t        «       f}ddd gi}t        «       }|D ];  }t        |||¬	«      j	                  | |«      }t        |j                  d
   dd g«       Œ= y )Nrx   r”   r«   r¬   rè   )r   r   r   r   rx   rø   r   rÝ   Úparam_random_state)rI   rH   r-   r)   rj   rT   rÓ   )rh   r¼   Ú
estimatorsÚest_parametersrÌ   ÚestrØ   s          r^   Ú!test_search_cv_results_none_paramr‹  {  s–   € ØˆC�!��q�c˜A˜3  Ð$¢o€q€AÜ'Ó)Ô+AÓ+CÐD€JØ$ q¨$ iÐ0€NÜ	‹€Bàò UˆÜ"ØØØô
÷ ‰#ˆa�‹)ð	 	ô
 	˜;×2Ñ2Ð3GÑHÈ1ÈdÈ)ÕTñUra   z+ignore::sklearn.exceptions.FitFailedWarningc                  ó˜  — t        d¬«      } dgdgdgdgg}g d¢}t        | dddgidd¬	«      }t        | dddgiddd¬
«      }||fD �]  }|j                  ||«       dD ]P  }t	        j
                  |j                  |   dk\  «      sJ ‚t	        j
                  |j                  |   dk  «      rŒPJ ‚ dD ]W  }|j                  |   d   dk\  sJ ‚|j                  |   d   dk(  sJ ‚t	        j
                  |j                  |   dk  «      rŒWJ ‚ t        |d«      sJ ‚t        |j                  t        «      sJ ‚|j                  dk\  r�ŒJ ‚ y )Nr   r÷   rx   r”   r«   r¬   )r   rx   rx   r   r½   rë   )rÌ   rì   rž   )r  r  )r  r  rz   Úrefit_time_)rD   r)   r2   rj   rd   rö  rÓ   rà   r¿   r�  Úfloat)Úsvcrh   r¼   r   ÚrsrR  r�  s          r^   Útest_search_cv_timingr‘  Š  s•  € ä
 Ô
#€Cð ð	
ð ð	
ð ð	
ð ð	
ð	€Aò 	€Aä	�c˜C ! Q ˜=¨Q¸AÔ	>€BÜ	˜C #¨¨1 v °1À!ÈAÔ	N€Bà�r�(ó 'ˆØ�
‰
�1�aÔØ4ò 	7ˆCô —6‘6˜&×,Ñ,¨SÑ1°QÑ6Ô7Ð7Ð7Ü—6‘6˜&×,Ñ,¨SÑ1°AÑ5Õ6Ð6Ð6ð		7ð 9ò 	7ˆCØ×%Ñ% cÑ*¨1Ñ-°Ò2Ð2Ð2Ø×%Ñ% cÑ*¨1Ñ-°Ò4Ð4Ð4Ü—6‘6˜&×,Ñ,¨SÑ1°AÑ5Õ6Ð6Ð6ð	7ô
 �v˜}Ô-Ð-Ð-Ü˜&×,Ñ,¬eÔ4Ð4Ð4Ø×!Ñ! QÔ&Ð&Ð&ñ'ra   c            
      óž  — d} t        d¬«      }t        dd¬«      \  }}g d¢}dD �]   }t        |d|i|| ¬	«      }|j                  ||«      j                  }t        |j                  «       «      }d
t        d„ t        | «      D «       «      z   }	t        t        j                  |	|«      «      sJ ‚t        | ¬«      }
|j                  } t        |«      D ]ò  \  }}|j                  |¬«       t        j                   t        | «      D �cg c]  }|j                  d|z     |   ‘Œ c}«      }t        |
j#                  ||«      «      D ]~  \  }\  }}|j                  ||   ||   «       |dk(  r"t%        ||   |j'                  ||   «      «      }n(|dk(  r#|j)                  ||   «      }t+        ||   |«      }t-        ||   «       Œ€ Œô �Œ£ y c c}w )Nr«   r   r÷   r”   rù   rû   )r]  r  r½   )rÕ   rÌ   )r‰  r  c              3   ó&   K  — | ]	  }d |z  –— Œ y­w)r<  Nr‹   )r·   Úcv_is     r^   r¹   z9test_grid_search_correct_score_results.<locals>.<genexpr>¿  s   è ø€ ò G
Ø,0Ð  4Õ'ñG
ùs   ‚r  )r½   r<  r]  r  )rD   r   r)   rj   rÓ   r–   rŠ  r´   r—   rö  rd   Úisinr3   r?  Ú	enumerater‚   rï   Úsplitr#   rp   rŠ   r'   rR   )r  r×   rh   r¼   r  r{   rØ   rŒ  Úresult_keysÚexpected_keysrÌ   Úcandidate_ir½   rD  Ú	cv_scoresr™   ÚtrainÚtestÚcorrect_scoreÚdecs                       r^   Ú&test_grid_search_correct_score_resultsr   ³  sÔ  € à€HÜ
 Ô
#€CÜ 1¨aÔ0�D€A€qÚ	€BØ"ó AˆÜ" 3¨¨b¨	¸5ÀXÔNˆØ —_‘_ Q¨Ó*×6Ñ6ˆ
ô ˜:Ÿ?™?Ó,Ó-ˆØ>Äñ G
Ü49¸(³OôG
ó B
ñ 
ˆô ”2—7‘7˜=¨+Ó6Ô7Ð7Ð7ä hÔ/ˆØ×(Ñ(ˆÜ'¨›mò 	A‰NˆK˜Ø�N‰N˜QˆNÔÜŸ™ô # 8›_öàð  ×+Ñ+Ð,@À1Ñ,DÑEÀkÓRòóˆIô %.¨b¯h©h°q¸!«nÓ$=ò AÑ �‘=�E˜4Ø—‘˜˜%™ ! E¡(Ô+Ø˜D’=Ü$,¨Q¨t©W°c·k±kÀ!ÀDÁ'Ó6JÓ$K‘MØ˜iÒ'Ø×/Ñ/°°$±Ó8�CÜ$1°!°D±'¸3Ó$?�MÜ# M°9¸Q±<Õ@ñAò	AñAùò s   ÄG
c                  ó6  — t        «       } t        | dg d¢idd¬«      }|j                  t        t        «       t        j                  t        j                  |«      «      }t        |j                  t        «      |j                  t        «      «       t        | dg d¢iddd¬«      }|j                  t        t        «       t        j                  t        j                  |«      «      }t        |j                  t        «      |j                  t        «      «       y )Nr\   rª   Tr”   r-  r«   )r&  rž   rÌ   )rX   r)   rj   rh   r¼   ÚpickleÚloadsÚdumpsrS   rp   r2   )r×   rØ   Úgrid_search_pickledr)  Úrandom_search_pickleds        r^   Útest_pickler§  Ø  sÏ   € ä
Ó
€CÜ˜s [²)Ð$<ÀDÈQÔO€KØ‡O�O”A”qÔÜ Ÿ,™,¤v§|¡|°KÓ'@ÓAÐÜ˜k×1Ñ1´!Ó4Ð6I×6QÑ6QÔRSÓ6TÔUä&Øˆkš9Ð%¨T¸!Àô€Mð ×Ñ”aœÔÜ"ŸL™L¬¯©°mÓ)DÓEÐÜØ×ÑœaÓ Ð"7×"?Ñ"?ÄÓ"Bõra   c            	      óÚ  — t        dd¬«      \  } }dg d¢i}t        «       }t        d¬«      t        d¬«      g}|D ]Ô  }t	        |||¬«      }|j                  | |«       |j                  d   }t        t        |«      «      D ]Œ  } |j                  di ||   ¤Ž t        |j                  | |«      «      D ]W  \  }	\  }
}|j                  | |
   ||
   «       |j                  | |   ||   «      }t        ||j                  d	|	z     |   «       ŒY ŒŽ ŒÖ |D ]Õ  }t        |||d
¬«      }|j                  | |«       |j                  d   }t        t        |«      «      D ]Œ  } |j                  di ||   ¤Ž t        |j                  | |«      «      D ]W  \  }	\  }
}|j                  | |
   ||
   «       |j                  | |   ||   «      }t        ||j                  d	|	z     |   «       ŒY ŒŽ Œ× y )NTr   )Úreturn_indicatorrø   rm  )rx   r”   r«   r¬   r÷   rÝ   r�   r<  r«   )rÌ   rž   r‹   )r   r-   rI   rH   r)   rj   rÓ   r—   rc   r‚   r–  r—  r{   rR   r2   )rh   r¼   r‰  rÌ   rˆ  rŠ  rØ   Ú
res_paramsÚcand_ir™   rœ  r�  rž  r)  s                 r^   Ú&test_grid_search_with_multioutput_datar¬  ê  s
  € ô *¸4ÈaÔP�D€A€qà!¢<Ð0€NÜ	‹€Bô 	¨1Ô-Ü¨AÔ.ð€Jð ò ˆÜ" 3¨¸2Ô>ˆØ�‰˜˜1ÔØ ×,Ñ,¨XÑ6ˆ
ÜœC 
›OÓ,ò 		ˆFØˆC�N‰NÑ0˜Z¨Ñ/Ò0ä$-¨b¯h©h°q¸!«nÓ$=ò Ñ �‘=�E˜4Ø—‘˜˜%™ ! E¡(Ô+Ø #§	¡	¨!¨D©'°1°T±7Ó ;�Ü#Ø!Ø×+Ñ+Ð,@À1Ñ,DÑEÀfÑMõññ		ð	ð  ò ˆÜ*¨3°À2ÈaÔPˆØ×Ñ˜!˜QÔØ"×.Ñ.¨xÑ8ˆ
ÜœC 
›OÓ,ò 		ˆFØˆC�N‰NÑ0˜Z¨Ñ/Ò0ä$-¨b¯h©h°q¸!«nÓ$=ò Ñ �‘=�E˜4Ø—‘˜˜%™ ! E¡(Ô+Ø #§	¡	¨!¨D©'°1°T±7Ó ;�Ü#Ø!Ø!×-Ñ-Ð.BÀQÑ.FÑGÈÑOõññ		ñ	ra   c                  óÆ   — t        j                  d«      j                  dd«      } g d¢}t        d¬«      }t	        |i d¬«      j                  | |«      }t        |d	«      rJ ‚y )
Nrs  rè   r’   ©r   r   rx   rx   rx   F)rV  r”   rÝ   rˆ   )rd   rí   rî   rC   r)   rj   rà   ©rh   r¼   r×   r   s       r^   Útest_predict_proba_disabledr°    sY   € ä
�	‰	�"‹×Ñ˜a Ó$€AÚ€AÜ
˜%Ô
 €CÜ	�c˜2 !Ô	$×	(Ñ	(¨¨AÓ	.€BÜ�r˜?Ô+Ð+Ð+Ð+ra   c                  óL  — t        j                  dt         j                  ¬«      j                  dd«      } t         j                  | dd d …f<   g d¢}t        dt        dt         j                  ¬	«      fd
t        «       fg«      }t        |dg d¢id¬«      j                  | |«       y )Nrs  r;  rè   r’   r”   r®  ÚimputerrW  )ÚstrategyÚmissing_valuesÚ
classifierÚclassifier__foo_paramrª   rÝ   )
rd   rí   rõ  rî   Únanr=   r   rX   r)   rj   )rh   r¼   r¸   s      r^   Útest_grid_search_allows_nansr¸  !  s‡   € ä
�	‰	�"œBŸJ™JÔ'×/Ñ/°°2Ó6€AÜ�f‰f€A€aŠ€d�GÚ€AÜàœ¨vÄbÇfÁfÔMÐNØœ>Ó+Ð,ð	
ó	€Aô �Ð,ªiÐ8¸QÔ?×CÑCÀAÀqÕIra   c                   ó2   — e Zd ZdZdZdd„Zdd„Zd„ Zd	d„Zy)
ÚFailingClassifierz,Classifier that raises a ValueError on fit()r”   Nc                 ó   — || _         y rZ   rx  rz  s     r^   r_   zFailingClassifier.__init__4  r`   ra   c                 óT   — | j                   t        j                  k(  rt        d«      ‚y )Nz%Failing classifier failed as required)ry  rº  ÚFAILING_PARAMETERrÖ   r}  s      r^   rj   zFailingClassifier.fit7  s'   € Ø�>‰>Ô.×@Ñ@Ò@ÜÐDÓEÐEð Ara   c                 óF   — t        j                  |j                  d   «      S rl   r  rr   s     r^   rp   zFailingClassifier.predict;  r€  ra   c                  ó   — y)Nrz   r‹   rg   s      r^   r{   zFailingClassifier.score>  s   € Øra   rZ   rƒ   )	r„   r…   r†   r‡   r½  r_   rj   rp   r{   r‹   ra   r^   rº  rº  /  s    „ Ù6àÐó#óFò$ôra   rº  c            	      óÌ  ‡‡— t        ddd¬«      \  } }t        «       }t        |dg d¢igddd	¬
«      Št        j                  dt        j
                  ¬«      }t        j                  t        |¬«      5  ‰j                  | |«       d d d «       t        ‰j                  d   «      }ˆfd„Št        ˆˆfd„t        |«      D «       «      sJ ‚t        |dg d¢igddt        d«      ¬
«      Št        j                  dt        j
                  ¬«      }t        j                  t        |¬«      5  ‰j                  | |«       d d d «       t        ‰j                  d   «      }t        ˆˆfd„t        |«      D «       «      sJ ‚‰j                  d   }|d   dk  r|d   dk  sJ ‚||j                     dk(  sJ ‚‰j                   |j                  k7  sJ ‚y # 1 sw Y   �ŒIxY w# 1 sw Y   ŒŸxY w)Nrs  rœ   r   r>  ry  ©r   rx   r”   rý   Frz   ©rÕ   r&  rì   zÈ5 fits failed.+total of 15.+The score on these train-test partitions for these parameters will be set to 0\.0.+5 fits failed with the following error.+ValueError.+Failing classifier failed as required©Úflagsr¡   r�   c                 ó    •— t        j                  t        ‰j                  «      D �cg c]  }‰j                  d|z     |    ‘Œ c}«      S c c}w )Nr<  )rd   rï   r—   r?  rÓ   )r™   rD  r   s     €r^   Úget_cand_scoresz<test_grid_search_failing_classifier.<locals>.get_cand_scoresd  sB   ø€ Ü�x‰xÜBGÈÏÉÓBUÖV¸QˆR�^‰^Ð0°1Ñ4Ñ5°aÓ8ÒVó
ð 	
ùÚVs   ¨Ac              3   ó    •K  — | ]E  }‰j                   d    |   t        j                  k(  r t        j                   ‰|«      dk(  «      –— ŒG y­w)Úparam_parameterrz   N)rÓ   rº  r½  rd   rö  ©r·   r«  rÆ  r   s     €€r^   r¹   z6test_grid_search_failing_classifier.<locals>.<genexpr>j  sL   øè ø€ ò 	
àØ�~‰~Ð/Ñ0°Ñ8Ü ×2Ñ2ò3ô �F‰F‘? 6Ó*¨cÑ1×2ñ	
ùs   ƒAAr·  zÇ5 fits failed.+total of 15.+The score on these train-test partitions for these parameters will be set to nan.+5 fits failed with the following error.+ValueError.+Failing classifier failed as requiredc              3   óÀ   •K  — | ]U  }‰j                   d    |   t        j                  k(  r0t        j                  t        j
                   ‰|«      «      «      –— ŒW y­w)rÈ  N)rÓ   rº  r½  rd   rö  ÚisnanrÉ  s     €€r^   r¹   z6test_grid_search_failing_classifier.<locals>.<genexpr>ƒ  sP   øè ø€ ò àØ�>‰>Ð+Ñ,¨VÑ4Ü×.Ñ.ò/ô 	�‰Œr�x‰x™¨Ó/Ó0×1ñùs   ƒAAr  r”   rx   r«   )r   rº  r)   rP  ÚcompileÚDOTALLr£   Úwarnsr   rj   rc   rÓ   rö  r—   rŽ  r½  r.  )rh   r¼   r×   Úwarning_messager+  ÚranksrÆ  r   s         @@r^   Ú#test_grid_search_failing_classifierrÑ  B  sá  ù€ ô ¨¸ÈÔK�D€A€qä
Ó
€Cô 
ØØ
’yÐ	!Ð"ØØØô
€Bô —j‘jð	ô �i‰iô€Oô 
�‰Ô&¨oÔ	>ñ Ø
�‰ˆq�!Œ÷ä�r—~‘~ hÑ/Ó0€Lô
ô
 ô	
ä Ó-ô	
ôð ð ô 
ØØ
’yÐ	!Ð"ØØÜ˜%“Lô
€Bô —j‘jð	ô �i‰iô€Oô 
�‰Ô&¨oÔ	>ñ Ø
�‰ˆq�!Œ÷ä�r—~‘~ hÑ/Ó0€LÜô ä˜LÓ)ôô ð ð ð �N‰NÐ,Ñ-€Eð �‰8�qŠ=˜U 1™X¨š]Ð*Ð*à�×&Ñ&Ñ'¨1Ò,Ð,Ð,Ø�>‰>˜S×2Ñ2Ò2Ð2Ñ2÷eñ ú÷Dð ús   Á3GÄ)GÇGÇG#c                  óN  — t        ddd¬«      \  } }t        «       }t        |dt        j                  gdz  igd¬«      }t	        j
                  d	t        j                  ¬
«      }t        j                  t        |¬«      5  |j                  | |«       d d d «       y # 1 sw Y   y xY w)Nrs  rœ   r   r>  ry  r«   rz   ©rì   zrAll the 15 fits failed.+15 fits failed with the following error.+ValueError.+Failing classifier failed as requiredrÃ  r¡   ©r   rº  r)   r½  rP  rÌ  rÍ  r£   r¤   rÖ   rj   )rh   r¼   r×   r   rÏ  s        r^   Ú)test_grid_search_classifier_all_fits_failrÕ  “  s—   € Ü¨¸ÈÔK�D€A€qä
Ó
€Cä	ØØ
Ô)×;Ñ;Ð<¸qÑ@Ð	AÐBØô
€Bô —j‘jðHô �i‰iô€Oô 
�‰”z¨Ô	9ñ Ø
�‰ˆq�!Œ÷÷ ñ ús   Á?BÂB$c                  óä   — t        ddd¬«      \  } }t        «       }t        |dg d¢igddd	¬
«      }t        j                  t
        «      5  |j                  | |«       d d d «       y # 1 sw Y   y xY w)Nrs  rœ   r   r>  ry  rÁ  rý   Frê   rÂ  )r   rº  r)   r£   r¤   rÖ   rj   r¯  s       r^   Ú)test_grid_search_failing_classifier_raiser×  ©  sq   € ô ¨¸ÈÔK�D€A€qä
Ó
€Cô 
ØØ
’yÐ	!Ð"ØØØô
€Bô 
�‰”zÓ	"ñ Ø
�‰ˆq�!Œ÷÷ ñ ús   Á
A&Á&A/c                  óú  — ddgg d¢dœdddgig} t        | d¬	«      }d}d
}d|||fz  }t        j                  t        |¬«      5  t	        |«       d d d «       t        | d
¬	«      }t	        |«      }t        |«      d
k(  sJ ‚t        | «      D ]  }||v rŒJ ‚ t        t        | d¬	«      «      d
k(  sJ ‚t        d«      t        d«      t        d«      dœ} t        | dd¬«      }t	        |«      }t        |«      dk(  sJ ‚|D �cg c]  }d|d   |d   |d   fz  ‘Œ }}t        t        |«      «      dk(  sJ ‚t        d«      g d¢dœ}	t        |	d¬	«      }t	        |«      }t        |«      dk(  sJ ‚y # 1 sw Y   �ŒxY wc c}w )Nr   rx   )ÚaÚbÚc)ÚfirstÚsecondÚthirdÚtwoÚvaluesrã  r�   râ  z}The total space of parameters %d is smaller than n_iter=%d. Running %d iterations. For exhaustive searches, use GridSearchCV.r¡   éè  rœ   éc   r†  )rž   rø   z	a%db%dc%drÙ  rÚ  rÛ  r¾   r£  )
r1   r£   rÎ  ÚUserWarningr–   rc   r0   r—   rÀ   r
   )
r�   rä  rž   Ú	grid_sizeÚexpected_warningrå  rà  r¸   Úhashable_samplesÚparams_distributions
             r^   Ú#test_parameters_sampler_replacementrè  ¾  s¯  € ð �a�&¢OÑ4Ø	�5˜(Ð#Ð$ð€Fô ˜v¨aÔ0€GØ€FØ€Ið	1à4=¸vÀyÐ3Qñ	Rð ô
 
�‰”kÐ)9Ô	:ñ ÜˆWŒ÷ô ˜v¨aÔ0€GÜ�7‹m€GÜˆw‹<˜1ÒÐÐÜ Ó'ò !ˆØ˜Ò Ð Ð ð!äÔ ¨tÔ4Ó5¸Ò:Ð:Ð:ô ˜“9¤5¨£9´5¸³9Ñ=€FÜ˜v¨b¸rÔB€GÜ�7‹m€GÜˆw‹<˜2ÒÐÐØHOÖPÀ1˜ q¨¡v¨q°©v°q¸±vÐ&>Ó>ÐPÐÐPÜŒsÐ#Ó$Ó%¨Ò+Ð+Ð+ô %.¨c£NºoÑNÐÜÐ2¸1Ô=€GÜ�7‹m€GÜˆw‹<˜1ÒÐÑ÷/ñ üò  Qs   ÁE+Ã?E8Å+E5c                  óª  — ddgi} t        j                  d«      j                  dd«      }g d¢}t        t	        d¬«      | d	¬
«      }t        |d«      rJ ‚|j                  ||«       |j                  |«       |j                  |«       ddgi} t        t	        d¬«      | d	¬
«      }t        |d«      rJ ‚|j                  ||«       t        |d«      rJ ‚y )NÚlossÚlog_lossé   r²   r’   ©r   r   r   rx   rx   rx   Úhinge)rê  r«   ©rÚ  râ   rÌ   rˆ   )	rd   rí   rî   r)   r    rà   rj   rˆ   r‰   )râ   rh   r¼   r×   s       r^   Ú#test_stochastic_gradient_loss_paramrð  æ  sÞ   € ð 	��ð€Jô 	�	‰	�"‹×Ñ˜a Ó$€AÚ€AÜ
Ü WÔ-¸*Èô€Cô �s˜OÔ,Ð,Ð,Ø‡G�GˆAˆq„MØ×Ñ�aÔØ×Ñ˜!Ôð
 	��	ð€Jô Ü WÔ-¸*Èô€Cô �s˜OÔ,Ð,Ð,Ø‡G�GˆAˆq„MÜ�s˜OÔ,Ð,Ð,Ð,ra   c                  ó¶   — t        j                  d«      j                  dd«      } g d¢}t        d¬«      }t	        |dddgid	¬
«      }|j                  | |«       y )Nr²   r’   rí  r   r÷   r½   rü   r  r«   )râ   rÌ   )rd   rí   rî   rD   r)   rj   r¯  s       r^   Ú%test_search_train_scores_set_to_falserò    sO   € Ü
�	‰	�!‹×Ñ˜Q Ó#€AÚ€AÜ
 Ô
#€Cä	�c s¨S°#¨JÐ&7¸AÔ	>€BØ‡F�Fˆ1ˆa…Lra   c            
      óª  — d} d}t        | d¬«      \  }}t        t        d¬«      dg d¢it        || ¬«      d	¬
«      }|j	                  ||«       t        t        d¬«      dg d¢it        |¬«      d	¬
«      }|j	                  ||«       t        t        |d	d¬«      j                  ||«      t        «      sJ ‚t        t        d¬«      dg d¢it        |d	d¬«      j                  ||«      d	¬
«      }|j	                  ||«       t        t        d¬«      dg d¢it        |d	d¬«      d	¬
«      }|j	                  ||«       d„ }t        j                  j                   ||j                  «       ||j                  «      «       t        j                  j                  |j                  j                  «       D �	�
ci c]  \  }	}
|	j                  d«      rŒ|	|
“Œ c}
}	|j                  j                  «       D �	�
ci c]  \  }	}
|	j                  d«      rŒ|	|
“Œ c}
}	«       t        t        d¬«      dg d¢it        |d	¬«      d	¬
«      }|j	                  ||«       dD ]i  }i }t        d«      D ]3  }t        d«      D �cg c]  }|j                  d||fz     |   ‘Œ c}||<   Œ5 t!        |d   |d   «       t!        |d   |d   «       Œk y c c}
}	w c c}
}	w c c}w )Nrç   rè   r   rÌ  r÷   r½   )rü   r  g333333Ó?)r  r  T)râ   rÌ   r   r  )r  r:  rø   c                 ó6   — dD ]  }| j                  |«       Œ | S )N)r  r  r  r  )Úpop)rŒ  r�  s     r^   Ú_pop_time_keysz>test_grid_search_cv_splits_consistency.<locals>._pop_time_keys:  s)   € ð
ò 	 ˆCð �N‰N˜3Õð	 ð Ðra   r`  )rü   rü   r  r  )r  r:  )rœ  r�  r¬   zsplit%d_%s_scorerx   r”   r«   )r   r)   rD   r8   rj   r-   r¿   r—  r	   rd   rc  rd  rÓ   r¶   re  r—   rS   )r  r  rh   r¼   r   Úgs2Úgs3Úgs4rö  r$  ri  Ú
score_typeÚper_param_scoresÚparam_irD  s                  r^   Ú&test_grid_search_cv_splits_consistencyrý    s²  € à€IØ€HÜ¨ÀÔC�D€A€qä	Ü˜qÔ!ØšÐ)Ü H¸	ÔBØô	
€Bð ‡F�Fˆ1ˆa„Lä
Ü˜qÔ!ØšÐ)Ü˜(Ô#Øô	€Cð ‡G�GˆAˆq„Mô Ü�x¨¸AÔ>×DÑDÀQÈÓJÜôð ð ô Ü˜qÔ!ØšÐ)Ü˜(¨D¸qÔA×GÑGÈÈ1ÓMØô	€Cð ‡G�GˆAˆq„Mä
Ü˜qÔ!ØšÐ)Ü˜(¨D¸qÔAØô	€Cð ‡G�GˆAˆq„Mòô ‡J�J×ÑÙ�s—‘Ó'©¸¿¹Ó)Hôô ‡J�J×ÑØŸ.™.×.Ñ.Ó0×L‘$�!�Q¸¿
¹
À7Õ8KˆˆA‰ÓLØŸ/™/×/Ñ/Ó1×M‘$�!�Q¸¿¹ÀGÕ9LˆˆA‰ÓMôô 
Ü˜qÔ!ØÒ-Ð.Ü˜(¨DÔ1Øô	
€Bð ‡F�Fˆ1ˆa„Lð (ò 	Lˆ
ØÐÜ˜Q“xò 	ˆGô ˜q›ö)àð —‘Ð1°Q¸
°OÑCÑDÀWÓMò)Ð˜WÒ%ð	ô 	"Ð"2°1Ñ"5Ð7GÈÑ7JÔKÜ!Ð"2°1Ñ"5Ð7GÈÑ7JÕKñ	Lùó# 	MùÛMùò&)s   Æ5K
ÇK
Ç4K
ÈK
É7Kc                  óÚ   — t        «       } t        | dg d¢idd¬«      }|j                  t        t        «       |j                  |j                  t        «      «      }t        t        |«       y )Nr\   rª   r”   r«   rË   )rX   r)   rj   rh   r¼   rv   rs   rT   )r×   rØ   ÚX_round_trips      r^   Ú+test_transform_inverse_transform_round_tripr   n  sR   € Ü
Ó
€CÜ˜s [²)Ð$<ÀÈAÔN€Kà‡O�O”A”qÔØ×0Ñ0°×1FÑ1FÄqÓ1IÓJ€LÜ”q˜,Õ'ra   c                  ó¬  ‡‡‡‡‡	— d„ Šˆˆˆ	fd„Š G ˆˆfd„dt         «      } t        d¬«      Št        ddd¬	«      \  ŠŠ	 | ‰d
¬«      j                  ‰‰	«      } ‰dddgidddgig«      }|j                  } ‰||«       t        |«      D ]G  }|d   j                  «       sŒ|dd  dk(  sŒ |dvsŒ%t        ||«      t        ||«      k(  rŒ?J d|z  «       ‚ y )Nc                 óh  — |j                   }t        | j                  «       «      t        |«      k(  sJ ‚| D ]z  }|j                  d«      rŒt	        j
                  | |   «      | |<   | |   j                  j                  dk(  rt        ||   | |   d|z   ¬«       Œdt        ||   | |   d|z   ¬«       Œ| y )Nr`  r(  z	Checking )rô   )
rÓ   rµ   rŠ  re  rd   Ú
asanyarrayrô  r÷  rT   rQ   )ÚresultsÚgscvÚexp_resultsr$  s       r^   Úcheck_resultsz-test_custom_run_search.<locals>.check_resultsx  s¬   € Ø×&Ñ&ˆÜ�g—l‘l“nÓ%¬°Ó)<Ò<Ð<Ð<Øò 		YˆAØ—:‘:˜gÕ&äŸ]™]¨7°1©:Ó6�˜‘
Ø˜1‘:×#Ñ#×(Ñ(¨CÒ/Ü&Ø# A™¨°©
¸KÈ!¹Oöô $ K°¡N°G¸A±JÈÐVWÉÖXñ		Yra   c                 ó@   •— t        ‰| d¬«      j                  ‰‰«      S )NT©r   )r)   rj   )râ   rh   r×   r¼   s    €€€r^   Úfit_gridz(test_custom_run_search.<locals>.fit_grid†  s   ø€ Ü˜C ÀÔE×IÑIÈ!ÈQÓOÐOra   c                   ó,   •‡ — e Zd Zˆ fd„Zˆˆfd„Zˆ xZS )ú.test_custom_run_search.<locals>.CustomSearchCVc                 ó&   •— t        ‰| �  |fi |¤Ž y rZ   ©Úsuperr_   ©r]   rÚ  Úkwargsrp  s      €r^   r_   z7test_custom_run_search.<locals>.CustomSearchCV.__init__Š  ó   ø€ Ü‰GÑ˜YÑ1¨&Ó1ra   c           	      ó–   •—  |ddiddig«      } ‰| ‰dddgi«      «        |ddiddig«      } ‰| ‰dddgidddgig«      «       y )Nrm  rx   r”   Úmin_samples_splitrè   rœ   r‹   )r]   Úevaluater  r  r
  s      €€r^   Ú_run_searchz:test_custom_run_search.<locals>.CustomSearchCV._run_search�  s{   ø€ Ù ¨aÐ 0°;ÀÐ2BÐCÓDˆGÙ˜'¡8¨[¸1¸a¸&Ð,AÓ#BÔCÙÐ!4°aÐ 8Ð;NÐPRÐ:SÐTÓUˆGÙØÙ˜;¨¨A¨Ð/Ð2EÈÈ2ÀwÐ1OÐPÓQõra   )r„   r…   r†   r_   r  Ú__classcell__)rp  r  r
  s   @€€r^   ÚCustomSearchCVr  ‰  s   ù„ ô	2÷	ñ 	ra   r  r   r÷   rç   r¬   )r  Ún_informativerø   Tr	  rm  rx   r”   r  rè   rœ   r’   rÝ  >   rú  rf   rÓ   r�  rÒ   zAttribute %s not equal)r6   rI   r   rj   rÓ   ÚdirÚislowerr3  )
r  Úmycvr  r  Úattrrh   r  r×   r
  r¼   s
        @@@@@r^   Útest_custom_run_searchr  w  sò   ü€ òYöP÷œô ô  ¨QÔ
/€CÜ¨¸AÈAÔN�D€A€qÙ˜#°$Ô7×;Ñ;¸A¸qÓA€DÙ�k A q 6Ð*Ð-@À1ÀbÀ'Ð,JÐKÓL€Dà×Ñ€GÙ�'˜4Ô Ü�D“	ò ˆà�‰G�O‰OÕØ�R�S�	˜SÓ Øðòô ˜4 Ó&¬'°$¸Ó*=Ó=ð Ø(¨4Ñ/óÐ=ñra   c                  ó@  —  G d„ dt         «      }  | t        «       «      j                  t        t        «        G d„ dt         «      }t        j                  t        d¬«      5   |t        «       «      j                  t        t        «       d d d «       y # 1 sw Y   y xY w)Nc                   ó&   ‡ — e Zd Zˆ fd„Zdd„Zˆ xZS )ú;test__custom_fit_no_run_search.<locals>.NoRunSearchSearchCVc                 ó&   •— t        ‰| �  |fi |¤Ž y rZ   r  r  s      €r^   r_   zDtest__custom_fit_no_run_search.<locals>.NoRunSearchSearchCV.__init__²  r  ra   c                 ó   — | S rZ   r‹   )r]   rh   r¼   r  Ú
fit_paramss        r^   rj   z?test__custom_fit_no_run_search.<locals>.NoRunSearchSearchCV.fitµ  s   € ØˆKra   rƒ   )r„   r…   r†   r_   rj   r  ©rp  s   @r^   ÚNoRunSearchSearchCVr!  ±  s   ø„ ô	2÷	ra   r&  c                   ó   ‡ — e Zd Zˆ fd„Zˆ xZS )ú3test__custom_fit_no_run_search.<locals>.BadSearchCVc                 ó&   •— t        ‰| �  |fi |¤Ž y rZ   r  r  s      €r^   r_   z<test__custom_fit_no_run_search.<locals>.BadSearchCV.__init__¼  r  ra   )r„   r…   r†   r_   r  r%  s   @r^   ÚBadSearchCVr(  »  s   ø„ ÷	2ð 	2ra   r*  z_run_search not implemented.r¡   )r6   rC   rj   rh   r¼   r£   r¤   ÚNotImplementedError)r&  r*  s     r^   Útest__custom_fit_no_run_searchr,  °  sq   € ôœlô ñ œ›Ó×"Ñ"¤1¤aÔ(ô2”lô 2ô 
�‰Ô*Ð2PÔ	Qñ %á”C“EÓ×Ñœq¤!Ô$÷%÷ %ñ %ús   Á")BÂBc                  óF  — t        d¬«      j                  t        «      } | D �cg c]  }|‘Œ c} d}t        t	        «       dg d¢i| d¬«      }t        j                  t        d¬	«      5  |j                  t        d | t        d | «       d d d «       y c c}w # 1 sw Y   y xY w)
Nr«   r  rç   r$  ©rƒ  rˆ  rü   r¬   ©rÌ   Ún_jobszNNo fits were performed. Was the CV iterator empty\? Were there no candidates\?r¡   )
r-   r—  rh   r2   r   r£   r¤   rÖ   rj   r¼   )rÌ   ÚuÚ
train_sizeÚridges       r^   Útest_empty_cv_iterator_errorr4  Ä  s˜   € ô 
˜Ô	×	 Ñ	 ¤Ó	#€Bð †Oˆ1‚QƒOð €JÜœu›w¨Ò2DÐ(EÈ"ÐUVÔW€Eô 
�‰Üð*ô
ñ 2ð 	�	‰	”!�K�Z�.¤! K Z .Ô1÷2ð 2ùò ÷2ð 2ús   ¤	BÁ(!BÂB c                  ó  —  G d„ dt         «      }  | d¬«      }d}t        t        «       dg d¢i|d¬	«      }t        j                  t
        d
¬«      5  |j                  t        d | t        d | «       d d d «       y # 1 sw Y   y xY w)Nc                   ó   — e Zd Zd„ Zy)ú.test_random_search_bad_cv.<locals>.BrokenKFoldc                  ó   — y)Nrx   r‹   )r]   ÚargsÚkws      r^   Úget_n_splitsz;test_random_search_bad_cv.<locals>.BrokenKFold.get_n_splitsá  s   € Øra   N)r„   r…   r†   r;  r‹   ra   r^   ÚBrokenKFoldr7  à  s   „ ó	ra   r<  r«   r  rç   r$  r.  r¬   r/  zXcv.split and cv.get_n_splits returned inconsistent results. Expected \d+ splits, got \d+r¡   )	r-   r2   r   r£   r¤   rÖ   rj   rh   r¼   )r<  rÌ   r2  r3  s       r^   Útest_random_search_bad_cvr=  Ý  s   € ô”eô ñ
 
˜aÔ	 €Bà€JÜœu›w¨Ò2DÐ(EÈ"ÐUVÔW€Eô 
�‰Üðô
ñ 2ð 	�	‰	”!�K�Z�.¤! K Z .Ô1÷2÷ 2ñ 2ús   Á!A;Á;Br   F)r”   r«   rè   râ  r¬   c                 óž  — t        dd¬«      \  }} G d„ d«      } | t        «       f |«       d|dœ|¤Ž}t        j                  t        «      5 }|j                  ||«       d d d «       |rdd	gndg}t        «      t        |«      k(  sJ ‚t        ||«      D ]"  \  }	}
d
|
› d�t        |	j                  «      v rŒ"J ‚ |j                  d   j                  «       }t        j                  |j                  d   «      }t        |j                  d   |   |«       t        j                  |j                  d   |    |k  «      sJ ‚y # 1 sw Y   ŒãxY w)Nr”   r   )r	  rø   c                   ó   — e Zd ZdZd„ Zd„ Zy)úHtest_searchcv_raise_warning_with_non_finite_score.<locals>.FailingScorerz1Scorer that will fail for some split but not all.c                 ó   — d| _         y rl   )Ún_countsr�   s    r^   r_   zQtest_searchcv_raise_warning_with_non_finite_score.<locals>.FailingScorer.__init__  s	   € ØˆD�Mra   c                 ór   — | xj                   dz  c_         | j                   dz  dk(  rt        j                  S y)Nrx   rè   r   )rB  rd   r·  )r]   rÚ  rh   r¼   s       r^   Ú__call__zQtest_searchcv_raise_warning_with_non_finite_score.<locals>.FailingScorer.__call__  s-   € Ø�MŠM˜QÑ�MØ�}‰}˜qÑ  AÒ%Ü—v‘v�Øra   N)r„   r…   r†   r‡   r_   rD  r‹   ra   r^   ÚFailingScorerr@  
  s   „ Ù?ò	ó	ra   rE  r«   )rÕ   rÌ   r   r�  rœ  zOne or more of the z scores are non-finiter  r‰  )r   rH   r£   rÎ  rã  rj   rc   Úzipr6  ÚmessagerÓ   Úmaxrd   rË  rT   rö  )rå   rB  r   rh   r¼   rE  r˜   Úwarn_msgÚset_with_warningÚmsgÚdatasetÚ	last_rankÚnon_finite_masks                r^   Ú1test_searchcv_raise_warning_with_non_finite_scorerO  ö  sa  € ô$ ¨¸Ô;�D€A€q÷
ñ 
ñ ÜÓ ðá“ØØ-ñ	ð
 ñ€Dô 
�‰”kÓ	"ð  hØ�‰��AŒ÷ñ -?˜ Ñ(ÀVÀHÐÜˆx‹=œCÐ 0Ó1Ò1Ð1Ð1Ü˜HÐ&6Ó7ò Y‰ˆˆWØ$ W IÐ-CÐDÌÈCÏKÉKÓHXÒXÐXÐXðYð × Ñ Ð!2Ñ3×7Ñ7Ó9€IÜ—h‘h˜t×/Ñ/Ð0AÑBÓC€OÜ�t×'Ñ'Ð(9Ñ:¸?ÑKÈYÔWä�6‰6�$×"Ñ"Ð#4Ñ5°Ð6FÑGÈ)ÑSÔTÐTÑT÷ð ús   ÁEÅEc                  óv  — d„ } t        ddd¬«      \  }}t        d¬«      }t        |ddd	gi| d
¬«      }|j                  ||«       g d¢}|D ]!  }dj	                  |«      |j
                  v rŒ!J ‚ |j                  |«      }t        ||«      }|j                  ||«      t        j                  |d   «      k(  sJ ‚y )Nc                 ób   — | j                  |«      }t        ||«      }|d   |d   |d   |d   dœS )N)r   r   ©r   rx   )rx   r   ©rx   rx   ©ÚtnÚfpÚfnÚtp)rp   r"   )r×   rh   r¼   rX  Úcms        r^   Úcustom_scorerzAtest_callable_multimetric_confusion_matrix.<locals>.custom_scorer1  s:   € Ø—‘˜Q“ˆÜ˜a Ó(ˆØ˜‘h b¨¡h°b¸±hÀbÈÁhÑOÐOra   é(   r¬   r†  r>  r÷   r½   rü   rx   rV  r‚  rT  zmean_test_{}rR  )r   rD   r)   rj   ÚformatrÓ   rp   r"   r{   r£   r@  )	rZ  rh   r¼   rŠ  rR  Úscore_namesÚnamerX  rY  s	            r^   Ú*test_callable_multimetric_confusion_matrixr_  .  sÃ   € òPô
 ¨¸ÈÔK�D€A€qÜ
 Ô
$€CÜ˜#  c¨1 X˜¸ÈTÔR€Fà
‡J�Jˆq�!Ôâ*€KØò AˆØ×$Ñ$ TÓ*¨f×.@Ñ.@Ò@Ð@Ð@ðAð �^‰^˜AÓ€FÜ	˜!˜VÓ	$€BØ�<‰<˜˜1Ó¤§¡¨r°$©xÓ!8Ò8Ð8Ñ8ra   c                  óâ  — d„ } t        ddd¬«      \  }}t        d¬«      }t        |ddd	gi| d
¬«      }t        |ddd	gid
dgd
¬«      }|j                  ||«       |j                  ||«       |j                  t        j                  |j                  «      k(  sJ ‚|j                  |j                  k(  sJ ‚|j                  ||«      t        j                  |j                  ||«      «      k(  sJ ‚y )Nc                 óV   — | j                  |«      }t        ||«      t        ||«      dœS )N)r0  rý   )rp   r&   r!   ©rŠ  rh   r¼   rX  s       r^   rZ  zHtest_callable_multimetric_same_as_list_of_strings.<locals>.custom_scorerG  s-   € Ø—‘˜Q“ˆä" 1 fÓ-Ü& q¨&Ó1ñ
ð 	
ra   r[  r¬   r†  r>  r÷   r½   rü   rx   r0  r‚  rý   ©	r   rD   r)   rj   rk  r£   r@  r.  r{   )rZ  rh   r¼   rŠ  Úsearch_callableÚ
search_strs         r^   Ú1test_callable_multimetric_same_as_list_of_stringsrf  E  sð   € ò
ô ¨¸ÈÔK�D€A€qÜ
 Ô
$€CÜ"Øˆc�C˜�8ˆ_ m¸8ô€Oô Øˆc�C˜�8ˆ_ x°Ð&<ÀHô€Jð ×Ñ˜˜1ÔØ‡N�N�1�aÔà×&Ñ&¬&¯-©-¸
×8NÑ8NÓ*OÒOÐOÐOØ×&Ñ&¨*×*@Ñ*@Ò@Ð@Ð@Ø× Ñ   AÓ&¬&¯-©-¸
×8HÑ8HÈÈAÓ8NÓ*OÒOÐOÑOra   c                  ó0  — d„ } t        ddd¬«      \  }}t        d¬«      }t        |ddd	gi| d
¬«      }t        |ddd	gidd¬«      }t        |ddd	gidgd¬«      }|j                  ||«       |j                  ||«       |j                  ||«       |j                  t        j                  |j                  «      k(  sJ ‚|j                  |j                  k(  sJ ‚|j                  ||«      t        j                  |j                  ||«      «      k(  sJ ‚|j                  t        j                  |j                  «      k(  sJ ‚|j                  |j                  k(  sJ ‚|j                  ||«      t        j                  |j                  ||«      «      k(  sJ ‚y )Nc                 ó<   — | j                  |«      }t        ||«      S rZ   )rp   r&   rb  s       r^   rZ  zHtest_callable_single_metric_same_as_single_string.<locals>.custom_scorera  s   € Ø—‘˜Q“ˆÜ˜A˜vÓ&Ð&ra   r[  r¬   r†  r>  r÷   r½   rü   rx   Tr‚  r0  rc  )rZ  rh   r¼   rŠ  rd  re  Úsearch_list_strs          r^   Ú1test_callable_single_metric_same_as_single_stringrj  _  sƒ  € ò'ô ¨¸ÈÔK�D€A€qÜ
 Ô
$€CÜ"Øˆc�C˜�8ˆ_ m¸4ô€Oô ˜c C¨#¨q¨ ?¸HÈHÔU€JÜ"Øˆc�C˜�8ˆ_ x j¸ô€Oð ×Ñ˜˜1ÔØ‡N�N�1�aÔØ×Ñ˜˜1Ôà×&Ñ&¬&¯-©-¸
×8NÑ8NÓ*OÒOÐOÐOØ×&Ñ&¨*×*@Ñ*@Ò@Ð@Ð@Ø× Ñ   AÓ&¬&¯-©-¸
×8HÑ8HÈÈAÓ8NÓ*OÒOÐOÐOà×&Ñ&¬&¯-©-¸
×8NÑ8NÓ*OÒOÐOÐOØ×&Ñ&¨*×*@Ñ*@Ò@Ð@Ð@Ø× Ñ   AÓ&¬&¯-©-¸
×8HÑ8HÈÈAÓ8NÓ*OÒOÐOÑOra   c                  óî   — d„ } t        ddd¬«      \  }}t        t        d¬«      ddd	gi| d
¬«      }d}t        j                  t
        |¬«      5  |j                  ||«       d d d «       y # 1 sw Y   y xY w)Nc                 ó
   — ddiS )NÚbad_namerx   r‹   ©rŠ  rh   r¼   s      r^   Ú
bad_scorerzBtest_callable_multimetric_error_on_invalid_key.<locals>.bad_scorer}  s   € Ø˜AˆÐra   r[  r¬   r†  r>  r÷   r½   rü   rx   Ú	good_namer‚  z`For multi-metric scoring, the parameter refit must be set to a scorer key or a callable to refitr¡   )r   r)   rD   r£   r¤   rÖ   rj   )ro  rh   r¼   r×   rK  s        r^   Ú.test_callable_multimetric_error_on_invalid_keyrq  {  sz   € òô ¨¸ÈÔK�D€A€qÜ
Ü˜rÔ"Ø	ˆs�AˆhˆØØô	€Cð	,ð ô 
�‰”z¨Ô	-ñ Ø�‰��1Œ÷÷ ñ ús   ÁA+Á+A4c                  ón  — d„ } t        ddd¬«      \  }}t        «       }t        |dg d¢ig| dd	¬
«      }t        j                  dt        j
                  ¬«      }t        j                  t        |¬«      5  |j                  ||«       d d d «       t        |j                  d   g d¢«       y # 1 sw Y   Œ%xY w)Nc                 ó
   — ddiS ©Nr1  rx   r‹   rn  s      r^   rZ  zBtest_callable_multimetric_error_failing_clf.<locals>.custom_scorer“  ó   € Ø�qˆzÐra   rs  rœ   r   r>  ry  rÁ  Frü   rÂ  zm5 fits failed.+total of 15.+The score on these train-test partitions for these parameters will be set to 0\.1rÃ  r¡   Úmean_test_acc)rx   rx   rü   )r   rº  r)   rP  rÌ  rÍ  r£   rÎ  r   rj   rQ   rÓ   )rZ  rh   r¼   r×   r   rÏ  s         r^   Ú+test_callable_multimetric_error_failing_clfrw  �  s©   € òô ¨¸ÈÔK�D€A€qä
Ó
€CÜ	ØØ
’yÐ	!Ð"ØØØô
€Bô —j‘jð	Kä�i‰iô€Oô
 
�‰Ô&¨oÔ	>ñ Ø
�‰ˆq�!Œ÷ô �B—N‘N ?Ñ3²[ÕA÷ð ús   Á4B+Â+B4c                  ób  — d„ } t        ddd¬«      \  }}t        «       }t        |dt        j                  gdz  ig| dd	¬
«      }d}t	        j
                  d|› �t        j                  ¬«      }t        j                  t        |¬«      5  |j                  ||«       d d d «       y # 1 sw Y   y xY w)Nc                 ó
   — ddiS rt  r‹   rn  s      r^   rZ  zBtest_callable_multimetric_clf_all_fits_fail.<locals>.custom_scorer®  ru  ra   rs  rœ   r   r>  ry  r«   Frü   rÂ  z1ValueError: Failing classifier failed as requiredz5All the 15 fits failed.+your model is misconfigured.+rÃ  r¡   rÔ  )rZ  rh   r¼   r×   r   Úindividual_fit_error_messager§   s          r^   Ú+test_callable_multimetric_clf_all_fits_failr{  ¬  s³   € òô ¨¸ÈÔK�D€A€qä
Ó
€Cä	ØØ
Ô)×;Ñ;Ð<¸qÑ@Ð	AÐBØØØô
€Bð $WÐ Ü—J‘JàCØ+Ð,ð.ô �i‰iô€Mô 
�‰”z¨Ô	7ñ Ø
�‰ˆq�!Œ÷÷ ñ ús   Â	B%Â%B.c                  ó>  — d} t        | ¬«      \  }}t        «       }dddgi}t        ||«      }t        ||d¬«      }t	        |d«      rJ ‚t	        |d«      rJ ‚|j                  ||«       |j                  ||«       |j                  | k(  sJ ‚|j                  | k(  sJ ‚y )Nr¬   ©r?  Úmax_iterr«   rx   r�   Ún_features_in_)r   r   r)   r2   rà   rj   r  )r?  rh   r¼   Úgbdtrâ   r   r�  s          r^   Útest_n_features_inr�  Ê  s«   € ð €JÜ¨*Ô5�D€A€qÜ)Ó+€DØ˜q !˜fÐ%€JÜ	�d˜JÓ	'€BÜ	˜D *°QÔ	7€BÜ�rÐ+Ô,Ð,Ð,Ü�rÐ+Ô,Ð,Ð,Ø‡F�Fˆ1ˆa„LØ‡F�Fˆ1ˆa„LØ×Ñ 
Ò*Ð*Ð*Ø×Ñ 
Ò*Ð*Ñ*ra   Úpairwisec                 ó´   ‡ —  G ˆ fd„dt         «      } |«       }d}t        |ddgi«      }‰ |j                  «       j                  j                  k(  sJ |«       ‚y)zë
    Test implementation of BaseSearchCV has the pairwise tag
    which matches the pairwise tag of its estimator.
    This test make sure pairwise tag is delegated to the base estimator.

    Non-regression test for issue #13920.
    c                   ó"   •‡ — e Zd Zˆ ˆfd„Zˆ xZS )úStest_search_cv_pairwise_property_delegated_to_base_estimator.<locals>.TestEstimatorc                 óF   •— t         ‰| �  «       }‰|j                  _        |S rZ   )r  Ú__sklearn_tags__Ú
input_tagsr‚  )r]   Útagsrp  r‚  s     €€r^   r‡  zdtest_search_cv_pairwise_property_delegated_to_base_estimator.<locals>.TestEstimator.__sklearn_tags__æ  s!   ø€ Ü‘7Ñ+Ó-ˆDØ'/ˆD�O‰OÔ$ØˆKra   )r„   r…   r†   r‡  r  )rp  r‚  s   @€r^   ÚTestEstimatorr…  å  s   ù„ ÷	ñ 	ra   rŠ  z.BaseSearchCV pairwise tag must match estimatorrt  rœ   N)r   r)   r‡  rˆ  r‚  )r‚  rŠ  rŠ  Úattr_messagerÌ   s   `    r^   Ú<test_search_cv_pairwise_property_delegated_to_base_estimatorrŒ  Û  sX   ø€ öœô ñ ‹/€CØC€LÜ	�c˜M¨B¨4Ð0Ó	1€BØ�r×*Ñ*Ó,×7Ñ7×@Ñ@Ò@ÐNÀ,ÓNÑ@ra   c                  óà   —  G d„ dt         «      }  | «       }d}dD ]Q  }|j                  |¬«       t        |ddgi«      }||j                  «       j                  j
                  k(  rŒLJ |«       ‚ y)	zð
    Test implementation of BaseSearchCV has the pairwise property
    which matches the pairwise tag of its estimator.
    This test make sure pairwise tag is delegated to the base estimator.

    Non-regression test for issue #13920.
    c                   ó&   ‡ — e Zd Zdd„Zˆ fd„Zˆ xZS )úXtest_search_cv__pairwise_property_delegated_to_base_estimator.<locals>.EstimatorPairwisec                 ó   — || _         y rZ   ©r‚  )r]   r‚  s     r^   r_   zatest_search_cv__pairwise_property_delegated_to_base_estimator.<locals>.EstimatorPairwise.__init__û  s	   € Ø$ˆD�Mra   c                 óZ   •— t         ‰| �  «       }| j                  |j                  _        |S rZ   )r  r‡  r‚  rˆ  )r]   r‰  rp  s     €r^   r‡  zitest_search_cv__pairwise_property_delegated_to_base_estimator.<locals>.EstimatorPairwise.__sklearn_tags__þ  s%   ø€ Ü‘7Ñ+Ó-ˆDØ'+§}¡}ˆD�O‰OÔ$ØˆKra   )T)r„   r…   r†   r_   r‡  r  r%  s   @r^   ÚEstimatorPairwiser�  ú  s   ø„ ó	%÷	ð 	ra   r“  z4BaseSearchCV _pairwise property must match estimatorrU  r‘  rt  rœ   N)r   r‚   r)   r‡  rˆ  r‚  )r“  rŠ  r‹  Ú_pairwise_settingrÌ   s        r^   Ú=test_search_cv__pairwise_property_delegated_to_base_estimatorr•  ñ  s|   € ôœMô ñ Ó
€CØI€Là*ò ÐØ�‰Ð 1ˆÔ2Ü˜# °¨tÐ4Ó5ˆà ×!4Ñ!4Ó!6×!AÑ!A×!JÑ!JÓJð	àó	ØJñ	ra   c                  ót  — d} d}t        | d¬«      \  }}ddgi}t        «       }t        |||¬«      }|j                  ||«       |j	                  |«      }t        |«      }t        d¬	«      }t        |||¬«      }|j                  ||«       |j	                  |«      }	d
}
||	k(  j                  «       sJ |
«       ‚y)zÚ
    Test implementation of BaseSearchCV has the pairwise tag
    which matches the pairwise tag of its estimator.
    This test ensures the equivalence of 'precomputed'.

    Non-regression test for issue #13920.
    rË  r”   r   rÌ  rt  rœ   rÝ   rh  )Úmetricz2GridSearchCV not identical with precomputed metricN)r   r;   r)   rj   rp   r(   rö  )r  r  rh   r¼   Úgrid_paramsr×   rÌ   Úpreds_originalÚX_precomputedÚpreds_precomputedr‹  s              r^   Ú;test_search_cv_pairwise_property_equivalence_of_precomputedrœ  	  s¿   € ð €IØ€HÜ¨ÀÔC�D€A€qØ  2 $Ð'€Kô Ó
 €CÜ	�c˜;¨8Ô	4€BØ‡F�Fˆ1ˆa„LØ—Z‘Z “]€Nô (¨Ó*€MÜ
 mÔ
4€CÜ	�c˜;¨8Ô	4€BØ‡F�Fˆ=˜!ÔØŸ
™
 =Ó1ÐàG€LØÐ/Ñ/×4Ñ4Ô6ÐD¸ÓDÑ6ra   zSearchCV, param_searchrÙ  rü   rˆ  r«   c                 óÄ   —  G d„ dt         t        «      } |  |«       |«      }t        d¬«      \  }}|j                  ||d¬«       |j                  j
                  dk(  sJ ‚y )Nc                   ó"   — e Zd Zdd„Zdd„Zd„ Zy)ú,test_scalar_fit_param.<locals>.TestEstimatorNc                 ó   — || _         y rZ   )rÙ  )r]   rÙ  s     r^   r_   z5test_scalar_fit_param.<locals>.TestEstimator.__init__5	  s	   € ØˆD�Fra   c                 ó   — || _         y rZ   )Úr_)r]   rh   r¼   Úrs       r^   rj   z0test_scalar_fit_param.<locals>.TestEstimator.fit8	  s	   € ØˆD�Gra   c                 ó@   — t        j                  t        |«      ¬«      S )Nrm   )rd   rò   rc   rr   s     r^   rp   z4test_scalar_fit_param.<locals>.TestEstimator.predict;	  s   € Ü—8‘8¤3 q£6Ô+Ð+ra   rZ   )r„   r…   r†   r_   rj   rp   r‹   ra   r^   rŠ  rŸ  4	  s   „ ó	ó	ó	,ra   rŠ  r†  r÷   )r£  )r   r   r   rj   rÒ   r¢  )rå   Úparam_searchrŠ  Úmodelrh   r¼   s         r^   Útest_scalar_fit_paramr§  ,	  sZ   € ô,œ¬ô ,ñ ‘]“_ lÓ3€EÜ¨BÔ/�D€A€qØ	‡I�Iˆa��b€IÔØ× Ñ ×#Ñ# rÒ)Ð)Ñ)ra   r$  c                 ó°   — t        t        d¬«      ddiŽ\  }}}} G d„ dt        «      }d„ } |  |«       |«      }||f|ddœ}	 |j                  ||fi |	¤Ž y )Nr†  r÷   rø   c                   ó(   ‡ — e Zd Z	 	 	 	 dˆ fd„	Zˆ xZS )ú9test_scalar_fit_param_compat.<locals>._FitParamClassifierc                 óÈ   •— t         ‰| �  |||¬«       |dkD  sJ ‚t        |«      sJ ‚t        |t        «      sJ ‚|d   j
                  dk(  sJ ‚|d   j
                  dk(  sJ ‚| S )N)Úsample_weightr   r”   rx   )r  rj   Úcallabler¿   r´   Úndim)r]   rh   r¼   r¬  Útuple_of_arraysÚscalar_paramÚcallable_paramrp  s          €r^   rj   z=test_scalar_fit_param_compat.<locals>._FitParamClassifier.fitW	  s|   ø€ ô ‰G‰K˜˜1¨MˆKÔ:Ø !Ò#Ð#Ð#Ü˜NÔ+Ð+Ð+ô ˜o¬uÔ5Ð5Ð5Ø" 1Ñ%×*Ñ*¨aÒ/Ð/Ð/Ø" 1Ñ%×*Ñ*¨aÒ/Ð/Ð/ØˆKra   ©NNNN)r„   r…   r†   rj   r  r%  s   @r^   Ú_FitParamClassifierrª  V	  s   ø„ ð
 Ø ØØ÷	ñ 	ra   r³  c                   ó   — y rZ   r‹   r‹   ra   r^   Ú_fit_param_callablez9test_scalar_fit_param_compat.<locals>._fit_param_callablej	  s   € Øra   )r¯  r±  r°  )r5   r   r    rj   )
rå   r¥  ÚX_trainÚX_validrn  Úy_validr³  rµ  r¦  r$  s
             r^   Útest_scalar_fit_param_compatr¹  D	  sx   € ô *:Ü	¨"Ô	-ð*Ø<>ñ*Ñ&€GˆW�g˜wôœmô ò(ñ Ñ(Ó*¨LÓ9€Eð $ WÐ-Ø-Øñ€Jð
 €E‡I�Iˆg�wÑ- *Ó-ra   z)ignore:The total space of parameters 4 isÚ	Predictorc                 óÞ  — t         j                  j                  d«      }|j                  dd«      t        j                  dgdz  dgdz  z   «      }}t        dt        «       fd |«       fg«      }dd	gdd	gd
œ} | ||d¬«      }|j                  ||«       |j                  j                  «       |j                  «       k(  sJ ‚|j                  |«      }t        |«      rAt        |d«       |j                  ||«      t        j                  t!        ||«      «      k(  sJ ‚y t#        ||j%                  «       «       |j                  ||«      t        j                  t'        ||«      «      k(  sJ ‚y )Nr   é   r”   rè   rx   rs  ÚtransformerÚ	predictorrœ   )Útransformer__paramÚpredictor__paramarê   rÓ  )rd   r  r  Úrandnrï   r=   rO   rj   rÿ   rŠ  rp   r   rT   r{   r£   r@  r!   rQ   rW  r%   )	rå   rº  r  rh   r¼   r¦  r�   rR  rX  s	            r^   Ú1test_search_cv_using_minimal_compatible_estimatorrÂ  ~	  sB  € ô �)‰)×
Ñ
 Ó
"€CØ�9‰9�R˜ÓœRŸX™X q c¨A¡g°°°b±Ñ&8Ó9€q€AäØ
Ô+Ó-Ð	.°¹i»kÐ0JÐKó€Eð
  ! "˜gØ ˜Wñ€Fñ �e˜V°Ô9€FØ
‡J�Jˆq�!Ôà×Ñ×#Ñ#Ó%¨¯©«Ò6Ð6Ð6à�^‰^˜AÓ€FÜ�VÔÜ˜6 1Ô%Ø�|‰|˜A˜qÓ!¤V§]¡]´>À!ÀVÓ3LÓ%MÒMÐMÑMä˜ §¡£Ô)Ø�|‰|˜A˜qÓ!¤V§]¡]´8¸A¸vÓ3FÓ%GÒGÐGÑGra   c                 ó>  — t        dddd¬«      \  }}t        d¬«      }ddgi}t        ||d	d
d
|¬«      j                  ||«       | j	                  «       j
                  }|rt        j                  d|«      }nt        j                  d|«      }t        |«      d
k(  sJ ‚y)zkCheck that search cv with verbose>2 shows the score for single
    metrics. non-regression test for #19658.rç   r”   r  r   r  r÷   r½   rü   rý   r«   )rÕ   rÍ   rÌ   r   z$score=\(train=[\d\.]+, test=[\d.]+\)zscore=[\d\.]+N)	r   rD   r)   rj   Ú
readouterrÚoutrP  Úfindallrc   )Úcapsysr   rh   r¼   r×   r˜   Úcapturedr¢   s           r^   Útest_search_cv_verbose_3rÉ  �	  sž   € ô ¨¸À#ÐTUÔV�D€A€qÜ
 Ô
#€CØ�#�ˆ<€DäØØØØØØ-ô÷ 
�cˆ!ˆQ„iØ× Ñ Ó"×&Ñ&€HÙÜ—
‘
ÐBÀHÓM‰ä—
‘
Ð+¨XÓ6ˆÜˆu‹:˜Š?Ð‰?ra   rá  c                 óR  — t        d¬«      \  }}t        «       gdgdœ}|d   d   j                  }t        dt	        «       fdg«      }||i} | |fd	d
ddœ|¤Žj                  ||«      }|d   d   j                  |k(  sJ ‚|j                  j                  d   j                  dk(  sJ ‚y )Nr†  r÷   rˆ  )r×   Úclf__Cr×   r   Útrs)r×   NTr”   rý   ©r&  rÌ   rÕ   )r   rD   r½   r=   rO   rj   rÒ   Únamed_steps)	rå   r¥  rh   r¼   r�   Úorig_Crá   Úparam_grid_searchr   s	            r^   Útest_search_estimator_paramrÑ  µ	  sÆ   € ô ¨BÔ/�D€A€qä“k�]¨t¨fÑ5€FØ�E‰]˜1Ñ×Ñ€Fä�eÔ/Ó1Ð2°MÐBÓC€Dà% vÐ.ÐÙ	�$Ð	R˜d q°*Ñ	RÐ@QÑ	R×	VÑ	VØ	ˆ1ó
€Bð
 �%‰=˜Ñ×Ñ Ò'Ð'Ð'à×Ñ×)Ñ)¨%Ñ0×2Ñ2°dÒ:Ð:Ñ:ra   c            	      ó^  — dddœ} t        dt        «       fdt        «       fg«      }t        || dddd	d¬
«      }g d¢}g d¢}|j	                  ||«       |j
                  d   }t        j                  dt        ¬«      }g d¢|d d  t        j                  j                  |j                  |«       y )N)rS  ©rx   r”   )Úl1Úl2)Úvect__ngram_rangeÚ
vect__normÚvectr×   r«   r   r”   rx   )rÚ  rá  rž   rø   r0  rÍ   rÌ   )Úonerß  ÚthreeÚfourÚfive)r   r   rx   r   rx   Úparam_vect__ngram_ranger;  )rÓ  rÓ  rS  )r=   r   r9   r2   rj   rÓ   rd   rÇ   Úobjectrc  rT   rÔ   )Úparameter_gridÚpipeliner)  Ú
data_trainÚdata_targetÚresultÚexpected_datas          r^   Útest_search_with_2d_arrayrå  Ñ	  sµ   € à-Ø"ñ€Nô à”_Ó&Ð'Ø”L“NÐ#ð	
ó€Hô 'ØØ*ØØØØØô€Mò 9€JÚ!€KØ×Ñ�j +Ô.Ø×&Ñ&Ð'@ÑA€FÜ—H‘H˜Q¤fÔ-€MÚ/€M‘!ÐÜ‡J�J×!Ñ! &§+¡+¨}Õ=ra   c                  ól  — t        d¬«      \  } }t        dt        «       fdt        «       fg«      }dt        «       t	        «       gi}t        ||d¬«      }t        d¬«      5  |j                  «       }d	|v sJ ‚	 d
d
d
«       |j                  | |«       t        d¬«      5  |j                  «       }d	|v sJ ‚	 d
d
d
«       t        ||d¬«      }|j                  | |«       t        d¬«      5  |j                  «       }d	|vsJ ‚d|v sJ ‚	 d
d
d
«       y
# 1 sw Y   ŒšxY w# 1 sw Y   ŒhxY w# 1 sw Y   y
xY w)z5Test different HTML representations for GridSearchCV.r†  r÷   r1  r×   F)râ   r&  Údiagram)Údisplayz<pre>DummyClassifier()</pre>NTz<pre>LogisticRegression()</pre>)	r   r=   rB   r   r   r)   r   Ú_repr_html_rj   )rh   r¼   rà  râ   r—  Ú	repr_htmls         r^   Útest_search_html_reprrë  î	  sA  € ä¨BÔ/�D€A€qä˜'¤>Ó#3Ð4°u¼oÓ>OÐ6PÐQÓR€HØœ/Ó+Ô-?Ó-AÐBÐC€Jô ˜X°*ÀEÔJ€IÜ	 	Ô	*ñ ;Ø×)Ñ)Ó+ˆ	Ø-°Ñ:Ð:Ñ:÷;ð
 ‡M�M�!�QÔÜ	 	Ô	*ñ ;Ø×)Ñ)Ó+ˆ	Ø-°Ñ:Ð:Ñ:÷;ô
 ˜X°*ÀDÔI€IØ‡M�M�!�QÔÜ	 	Ô	*ñ >Ø×)Ñ)Ó+ˆ	Ø-°YÑ>Ð>Ð>Ø0°IÑ=Ð=Ñ=÷>ð >÷;ð ;ú÷;ð ;ú÷>ð >ús$   Á!DÂDÃ+D*ÄDÄD'Ä*D3c                 ó¾  — t        «       } | |dg d¢idd¬«      }|j                  t        t        «      j	                  t        «      }t        j                  t        d¬«      5  |j                  «        d d d «       t        j                  t        d¬«      5  |j                  ||¬	«       d d d «       t        j                  d
¬«      5  t        j                  d«       |j                  |«       d d d «       t        j                  t        d¬«      5  |j                  |¬«       d d d «       y # 1 sw Y   Œ¼xY w# 1 sw Y   Œ‘xY w# 1 sw Y   ŒXxY w# 1 sw Y   y xY w)Nr\   rª   r”   r«   rË   z$Missing required positional argumentr¡   z$Cannot use both X and Xt. Use X only)rh   ÚXtT)ÚrecordÚerrorzXt was renamed X in version 1.5)rí  )rX   rj   rh   r¼   rs   r£   r¤   r   rv   ÚwarningsÚcatch_warningsÚsimplefilterrÎ  ÚFutureWarning)rå   r×   rR  ÚX2s       r^   Ú%test_inverse_transform_Xt_deprecationrõ  
  s   € ä
Ó
€CÙ�c˜KªÐ3¸À1ÔE€Fà	�‰”A”qÓ	×	#Ñ	#¤AÓ	&€Bä	�‰”yÐ(NÔ	Oñ #Ø× Ñ Ô"÷#ô 
�‰”yÐ(NÔ	Oñ .Ø× Ñ  2¨"Ð Ô-÷.ô 
×	 Ñ	 ¨Ô	-ñ %Ü×Ñ˜gÔ&Ø× Ñ  Ô$÷%ô 
�‰”mÐ+LÔ	Mñ (Ø× Ñ  BÐ Ô'÷(ð (÷#ð #ú÷.ð .ú÷%ð %ú÷(ð (ús0   Á#D/ÂD;Ã	'EÄEÄ/D8Ä;EÅEÅE)Úenable_metadata_routingc           	      óÎ  — t        d¬«      \  }}t        |«      }t        j                  j	                  d«      }|j                  |«      }|j                  |«      }t        «       }|ddgii}	t        «       }
t        |
¬«      j                  dd¬	«      }t        |d
¬«      } | |fd
d|dœ|	¤Žj                  ||||¬«       t        |
«      sJ ‚|
D ]  }t        |ddd	||¬«       Œ y)zMTest that *SearchCV forwards metadata correctly when passed multiple metrics.r†  r÷   r   r½   rx   )ÚregistryÚscore_weightsÚscore_metadata)r¬  Úmetadatarý   )Ú	my_scorerrý   r”   rÍ  )rù  rú  r{   Ú_score)Úobjrl  ÚparentÚsplit_paramsr¬  rû  N)r   rV   rd   r  r  ÚrandrD   rF   rE   Úset_score_requestrÓ  rj   rc   rG   )rå   r¥  rh   r¼   r  r  rù  rú  rŠ  rÐ  Úscorer_registryÚscorerrÕ   Ú_scorers                 r^   Ú*test_multi_metric_search_forwards_metadatar  $
  s  € ô ¨BÔ/�D€A€qÜ˜Q“€IÜ
�)‰)×
Ñ
 Ó
"€CØ—H‘H˜YÓ'€MØ—X‘X˜iÓ(€Nä
‹+€CØ%¨¨a¨S zÐ2Ðä“k€OÜ oÔ6×HÑHØ%Ð0@ð Ió €Fô ˜V¨jÔ9€GÙˆSÐO˜
 q°'ÑOÐ=NÑO×SÑSØ	ˆ1˜M¸.ð Tô ô ˆÔÐÐØ"ò 
ˆÜØØØØ6Ø'Ø#ö	
ñ
ra   c                 ó  — t        d¬«      \  }}t        «       }|ddgii} | |fddi|¤Žj                  ||«      }t        j                  t
        d¬«      5  |j                  ||d¬	«       d
d
d
«       y
# 1 sw Y   y
xY w)z{*SearchCV should reject **params when metadata routing is not enabled
    since this is added only when routing is enabled.r†  r÷   r½   rx   rÌ   r”   zis only supported ifr¡   )rû  N)r   rD   rj   r£   r¤   rÖ   r{   )rå   r¥  rh   r¼   rŠ  rÐ  r   s          r^   Ú1test_score_rejects_params_with_no_routing_enabledr  K
  s‚   € ô ¨BÔ/�D€A€qÜ
‹+€CØ%¨¨a¨S zÐ2Ðá	�#Ñ	1˜!Ð	1Ð0Ñ	1×	5Ñ	5°a¸Ó	;€Bä	�‰”zÐ)?Ô	@ñ #Ø
�‰��A ˆÔ"÷#÷ #ñ #ús   ÁA5Á5A>c                  ó,  —  G d„ dt         t        «      } dddiddigdddggd	digd
dgdœ}t         | t        «       «      |d¬«      }t	        d¬«      \  }}|j                  ||«       |D ]'  }|j                  d|› �   j                  t        k(  rŒ'J ‚ y)zQNon-regression test for https://github.com/scikit-learn/scikit-learn/issues/29074c                   ó*   — e Zd Z	 	 	 	 dd„Zdd„Zd„ Zy)ú8test_cv_results_dtype_issue_29074.<locals>.MetaEstimatorNc                 óJ   — || _         || _        || _        || _        || _        y rZ   )Úbase_clfÚ
parameter1Ú
parameter2Ú
parameter3Ú
parameter4)r]   r  r  r  r  r  s         r^   r_   zAtest_cv_results_dtype_issue_29074.<locals>.MetaEstimator.__init__h
  s'   € ð %ˆDŒMØ(ˆDŒOØ(ˆDŒOØ(ˆDŒOØ(ˆD�Ora   c                 ó>   — | j                   j                  ||«       | S rZ   )r  rj   r}  s      r^   rj   z<test_cv_results_dtype_issue_29074.<locals>.MetaEstimator.fitv
  s   € Ø�M‰M×Ñ˜a Ô#ØˆKra   c                 ó:   — | j                   j                  ||«      S rZ   )r  r{   r}  s      r^   r{   z>test_cv_results_dtype_issue_29074.<locals>.MetaEstimator.scorez
  s   € Ø—=‘=×&Ñ& q¨!Ó,Ð,ra   r²  rZ   )r„   r…   r†   r_   rj   r{   r‹   ra   r^   ÚMetaEstimatorr  g
  s   „ ð ØØØó	)ó	ó	-ra   r  NÚoptionÚAÚBrx   r”   rÙ  Ústr1Ústr2)r  r  r  r  r«   rï  r   r÷   Úparam_)	r   r   r)   r   r   rj   rÓ   rô  rÞ  )r  râ   rØ   rh   r¼   rí  s         r^   Ú!test_cv_results_dtype_issue_29074r  d
  sº   € ô-œ¤ô -ð2 ˜h¨˜_¨x¸¨oÐ>Ø˜a ˜V�nØ˜Q�x�jØ˜vÐ&ñ	€Jô ÙÔ 2Ó 4Ó5ØØô€Kô  1Ô%�D€A€qØ‡O�O�A�qÔØò IˆØ×&Ñ&¨°¨wÐ'7Ñ8×>Ñ>Ä&ÓHÐHÐHñIra   c                  ó²  — t        j                  d«      } | j                  g d¢g d¢g d¢dœ«      }|j                  dd¬«      }|d   }t	        d	t        d
¬«      dgfgd¬«      }t        d	|fdt        «       fg«      }dt        d
¬«      t        «       gi}t        ||d¬«      }|j                  ||«       |j                  d   j                  t        k(  sJ ‚y)zNCheck cv_results_ for estimators with a `dtype` parameter, e.g. OneHotEncoder.rÃ  )rx   r”   r«   r¬   rè   )rÙ  rÙ  rÙ  rÙ  rÙ  )ry   gffffff@r%  g      @ry   )Ú	numeric_1Úobject_1Útargetr  rx   ry  ÚencF)Úsparse_outputr  Úpassthrough)Ú	remainderrÜ   Úenc__encr”   rÝ   Úparam_enc__encN)r£   Úimportorskiprº  Údropr   r?   r=   r   r@   r)   rj   rÓ   rô  rÞ  )ÚpdÚdfrh   r¼   r   rá   r˜  rØ   s           r^   Ú'test_search_with_estimators_issue_29157r*  ‘
  sí   € ä	×	Ñ	˜XÓ	&€BØ	�‰â(Ú1Ú/ñ	
ó
€Bð 	�‰�˜qˆÓ!€AØ
ˆ8‰€AÜ
Ø
”¨UÔ3°j°\Ð	BÐCØô€Cô à�CˆLØÔ*Ó,Ð-ð	
ó€Dð 	Ü¨Ô.ÜÓð
ð€Kô ˜t [°QÔ7€KØ‡O�O�A�qÔØ×"Ñ"Ð#3Ñ4×:Ñ:¼fÒDÐDÑDra   c                  ó¬  — d} t        d¬«      \  }}t        t        d¬«      t        «       «      }dD �cg c]  }| |z  ‘Œ	 }}|D �cg c];  }t	        j
                  dt        j                  dz  |«      j                  d| f«      ‘Œ= }}t        |d	|i¬
«      }|j                  ||«       |j                  d   j                  t        k(  sJ ‚yc c}w c c}w )zwCheck that GridSearchCV works with params that are arrays of different sizes.

    Non-regression test for #29277.
    rœ   r}  Úperiodic)Úextrapolation)rœ   r¤  é   r   r”   r’   Úsplinetransformer__knotsrn  Úparam_splinetransformer__knotsN)r   r>   rA   r   rd   ÚlinspaceÚpirî   r)   rj   rÓ   rô  rÞ  )	r?  rh   r¼   Úspline_reg_piper™   Ún_knots_listÚn_knotsÚ
knots_listÚspline_reg_pipe_cvs	            r^   Ú test_cv_results_multi_size_arrayr8  ²
  så   € ð
 €JÜ¨"Ô-�D€A€qä#Ü¨
Ô3ÜÓó€Oð
 -9Ö9 q�J “NÐ9€LÐ9ð $öàô 	�‰�A”r—u‘u˜q‘y 'Ó*×2Ñ2°B¸
Ð3CÕDð€Jð ô &Ø!à&¨
ð
ôÐð ×Ñ˜1˜aÔ à×&Ñ&Ð'GÑH×NÑNÔRXÒXðÙXùò :ùòs   ´CÁA Czarray_namespace, device, dtypec                 óÌ  — t        ||«      }t        j                  d«      j                  d«      }|j	                  |«      }|j                  ||¬«      }t        j                  dgdz  dgdz  z   «      }|j                  ||¬«      }	t        d¬«      5   | t        «       d	g d
¢idd¬«      }
|
j                  ||	«       |
j                  ||	«       d d d «       y # 1 sw Y   y xY w)Nrç   )rœ   rœ   )Údevicer   rè   rx   T)Úarray_api_dispatchÚtol)rˆ  rƒ  g-Cëâ6?gñhãˆµøä>g�íµ ÷Æ°>gH¯¼šò×z>r”   rê   rë   )rP   rd   rí   rî   ÚastypeÚasarrayrï   r   r   rj   r{   )rå   Úarray_namespacer:  rô  Úxprh   ÚX_npÚX_xpÚy_npÚy_xpró   s              r^   Ú#test_array_api_search_cv_classifierrE  Ñ
  sÔ   € ô
 
˜o¨vÓ	6€Bä
�	‰	�#‹×Ñ˜xÓ(€AØ�8‰8�E‹?€DØ�:‰:�d 6ˆ:Ó*€Dô �8‰8�Q�C˜!‘G˜q˜c A™gÑ%Ó&€DØ�:‰:�d 6ˆ:Ó*€Dä	¨4Ô	0ñ #ÙÜ&Ó(ØÒ8Ð9ØØô	
ˆð 	�‰�T˜4Ô Ø�‰�t˜TÔ"÷#÷ #ñ #ús   Â=CÃC#)r)  rô  rÓ  )r«   r¬   )Úcandidate_paramsÚexpectedÚ	param_foozsimple numeric, single param)Úidr°   rª   Ú	param_bar)r«   r¬   r   )FFTr3  z1simple numeric, one param is missing in one roundr;  zlists of different lengthszlists tuplesrˆ  c                 óL  — t        t        | «      «      }t        ||«      D ]�  \  \  }}\  }}||k(  sJ ‚|j                  |j                  k(  sJ ‚t        j
                  j                  ||«       t        j
                  j                  |j                  |j                  «       Œƒ y rZ   )r–   r7   rF  rô  rd   rc  rT   r)  )rF  rG  rã  r�  r4  Úexpected_keyÚexpected_values          r^   Ú&test_yield_masked_array_for_each_paramrN  ÷
  s”   € ôl Ô4Ð5EÓFÓG€FÜ8;¸FÀHÓ8Mò GÑ4‰ˆˆeÑ4�| ^Ø�lÒ"Ð"Ð"Ø�{‰{˜n×2Ñ2Ò2Ð2Ð2Ü
�
‰
×%Ñ% e¨^Ô<Ü
�
‰
×%Ñ% e§j¡j°.×2EÑ2EÕFñ	Gra   c                  óð   — t        d«      D � cg c]  } d| i‘Œ }} t        j                  «       5  t        j                  dt        «       t        t        |«      «       d d d «       y c c} w # 1 sw Y   y xY w)Nrá  rí  rï  )r—   rð  rñ  rò  ÚRuntimeWarningr–   r7   )r™   rF  s     r^   Ú*test_yield_masked_array_no_runtime_warningrQ  5  sm   € ä.3°D«kÖ:¨˜ !šÐ:ÐÐ:Ü	×	 Ñ	 Ó	"ñ CÜ×Ñ˜g¤~Ô6ÜÔ/Ð0@ÓAÔB÷Cð Cùò ;÷Cð Cús   ŽA'¯/A,Á,A5)r‹   )ír‡   r¢  rP  rÐ   rð  Úcollections.abcr   r   Ú	functoolsr   Úior   Ú	itertoolsr   r   rÆ  r	   Únumpyrd   r£   Úscipy.statsr
   r   r   rÏ   r   Úsklearn.baser   r   r   Úsklearn.clusterr   Úsklearn.composer   Úsklearn.datasetsr   r   r   Úsklearn.discriminant_analysisr   Úsklearn.dummyr   Úsklearn.ensembler   Úsklearn.exceptionsr   Úsklearn.experimentalr   Úsklearn.feature_extraction.textr   Úsklearn.imputer   Úsklearn.linear_modelr   r   r   r    Úsklearn.metricsr!   r"   r#   r$   r%   r&   r'   Úsklearn.metrics.pairwiser(   Úsklearn.model_selectionr)   r*   r+   r,   r-   r.   r/   r0   r1   r2   r3   r4   r5   Úsklearn.model_selection._searchr6   r7   Ú$sklearn.model_selection.tests.commonr8   Úsklearn.naive_bayesr9   Úsklearn.neighborsr:   r;   r<   Úsklearn.pipeliner=   r>   Úsklearn.preprocessingr?   r@   rA   rB   Úsklearn.svmrC   rD   Ú%sklearn.tests.metadata_routing_commonrE   rF   rG   Úsklearn.treerH   rI   Úsklearn.utils._array_apirJ   Úsklearn.utils._mockingrK   rL   Úsklearn.utils._testingrM   rN   rO   rP   rQ   rR   rS   rT   Úsklearn.utils.fixesrU   Úsklearn.utils.validationrV   rX   r�   rï   rh   r¼   rš   ÚmarkÚparametrizer   r¨   rÉ   rÚ   rä   rõ   r  r  r"  r'  r*  r;  rC  rL  rN  rS  r[  rf  rq  rt  rv  Úfilterwarningsrƒ  r�  r”  r›  r   r­  rµ  r¸  rÉ  rÕ  rÞ  rç  r   r  r.  r7  rK  rP  rZ  rN  rX  rr  r�  r…  r‹  r‘  r   r§  r¬  r°  r¸  rº  rÑ  rÕ  r×  rè  rð  rò  rý  r   r  r,  r4  r=  rO  r_  rf  rj  rq  rw  r{  r�  rŒ  r•  rœ  r§  r¹  rÂ  rÉ  rÑ  rå  rë  rõ  r  r  r  r*  r8  rE  Úone_hot_encoderÚordinal_encoderrë  rì  rÇ   rÞ  Úma_with_tuplesrí  rN  rQ  r‹   ra   r^   ú<module>r{     sï
  ðÙ ã Û 	Û 
Û ß +Ý Ý ß $Ý ã Û ß 1Ñ 1å "ß FÑ FÝ "Ý -÷ñ õ
 EÝ )Ý ;Ý /Ý 9Ý ;Ý (÷ó ÷÷ ñ õ 9÷÷ ÷ õ ÷õ AÝ ,ß UÑ Uß 4÷ó ÷ '÷ñ ÷
 GÝ Nß D÷	÷ 	ó 	õ /Ý 1ô
$�_ mô $ôN�yô ð €B‡H‚Hˆr�2ˆh˜˜R˜ 1 a &¨1¨a¨&Ð1Ó2€Ø€B‡H‚HŠ\Ó€ò=ð ‡‚×Ò˜ =±'Ð:JÐSUÔ2VÐ"WÓXØ‡‚×ÒØ&à	
ˆIÐKÐLØ�1�#ˆ,˜Ð	˜IÐ'JÐKà�AˆJØðFð	
ð	óñóó Yðò
!/òHò2<ð$ ‡‚×Ò˜ lÐ4FÐ%GÓHñ<ó Ið<ò$(ò07ò8ò>0ò2	/ò(òVòFò6ò%ðP ‡‚×Ò˜¨.Ó9ñó :ðð* ‡‚×Ò˜¨.Ó9ñ!(ó :ð!(òH*ò:!ô$�}ô $ð ‡‚×ÒÐOÓPñ
ó Qð
ò*+òZð0 ‡‚×ÒÐ*¨R°¨GÓ4Ø‡‚×Ò˜Ð'9¸<Ð&HÓIñó Jó 5ðò0+ò:/ò*/ò/ò3ò>7ò8$ò"8ò4Bó,VòW!òtBðJ ‡‚×ÒØ"à	˜ s¨Q°¨G nÐ5Ð6Ø	°c¸A¸r¸7°^ÈqÑQÐRðóñ5)óð5)òp ?òF!
òH#òLFð& ‡‚×ÒØáÙ,Ó.Ø!,¨q°"¨gÐ 6ô	
ñ 	Ù,Ó.¸KÈ!ÈRÈÐ;Qô	
ðóñ7óð7ð ‡‚×ÒØáÙ(°Ô6Ø!.°°B°Ð 8Øô	
ñ
 	Ù(°Ô6Ø%¨¨2 wÐ/Øô	
ðóñóðòBNòDUð ‡‚×ÒÐIÓJñ%'ó Kð%'òP"AòJò$+ò\,òJô˜ô ò&N3òbò,ò*%òP-ò@ò\Lò~(ò6òr%ò(2ò22ð2 ‡‚×ÒÐ-°°t¨}Ó=Ø‡‚×ÒØ"à	˜ {²LÐ&AÐBÐCàØ%0²,Ð$?È1ÑMð	
ðó	ñ*Uó	ó >ð*UòZ9ò.Pò4Pò8ò*Bò8ò<+ð" ‡‚×Ò˜ d¨E ]Ó3ñOó 4ðOò*ò:Eð< ‡‚×ÒØØ�S˜3 ˜+Ð&Ð'Ð*<¸sÁGÈAÈqÃMÐ>RÐ)SÐTóñ*ó	ð*ð( ‡‚×ÒØà	˜ # t Ð-Ð.Ø	˜g¡w¨t°SÓ'9Ð:Ð;ðóñ..óð..ðf ‡‚×ÒÐGÓHØ‡‚×Ò˜ lÐ4FÐ%GÓHØ‡‚×Ò˜Ð'7Ð9JÐ&KÓLñHó Mó Ió IðHð8 ‡‚×ÒÐ-°°e¨}Ó=ñó >ðð. ‡‚×ÒØà	�|Ð$Ø	Ð2Ð3Ø	˜lÐ+ðóñ;óð;ò(>ò:>ð: ‡‚×Ò˜ lÐ4FÐ%GÓHñ(ó Ið(ð0 ‡‚×ÒØà	�|Ð$Ø	Ð2Ð3ðóñ ¨Ô-ñ
ó .óð
ð> ‡‚×ÒØà	�|Ð$Ø	Ð2Ð3Ø	˜lÐ+ðóñ
#óð
#ò"*IòZEòBð> ‡‚×ÒØ$Ñ&OÓ&Qóð ‡‚×Ò˜ lÐ4FÐ%GÓHñ#ó Ióð#ñ0  “/€Ù Ó"€ð —’×"Ò" 8 2§8¢8¨A£;°TÀÐ"ÓH€Ø€ˆqÑ Ø€ˆqÑ ð ‡‚×ÒØ$àˆ�ŠØ�QˆZ˜% ˜Ð$à˜bŸeše×/Ò/°°·²¸!¸Q¸Ó0@ÓAÐBðð .ô	
ð 	ˆ�ŠØ˜qÑ!¨1°QÑ#7¸%À¸ÐDà˜bŸeše×/Ò/°°·²ºÓ0CÓDÐEàØ—E’E×%Ò% h b§h¢hªyÓ&9Ò@TÐ%ÓUððð Cô
	
ð 	ˆ�ŠØ�q�c˜A˜3  �_Ð%¨°°°a°S¨zÐ':Ð;ð  Ø—E’E×%Ò%¨¨¨a¨S°1°# ¸!¸¸q¸c¸
Ð&CÈ6Ð%ÓRððð ,ô		
ð 	ˆ�ŠØ�Vˆ_˜u f˜oÐ.ð  Ø"ððð ô		
ð 	ˆ�ŠØ�_Ð%¨¨Ð'?Ð@ð  Ø—E’E×%Ò% ¸Ð&HÐPVÐ%ÓWððð ô		
ðO1ó4ñjGók4ðjGóCra   